From 5767110e8730e4cc20206e5fc737c21efae66d8f Mon Sep 17 00:00:00 2001
From: Marcel Frueh <Marcel.Frueh@mailbox.org>
Date: Mon, 11 Oct 2021 10:14:15 +0200
Subject: [PATCH 1/9] Python3 and enumerated

---
 ...m Analysis and Big O Quiz-checkpoint.ipynb |  12 +-
 .../Big O Examples -checkpoint.ipynb          | 148 ++++-----
 .../Big O Notation-checkpoint.ipynb           | 202 ++++++++++++
 ...or Python Data Structures-checkpoint.ipynb |  50 ++-
 ...rithm Analysis and Big O -checkpoint.ipynb |  62 ++--
 ...ion to Algorithm Analysis and Big O .ipynb |  62 ++--
 .../02-Big O Notation.ipynb                   | 202 ++++++++++++
 .../03-Big O Examples .ipynb                  |  92 +++---
 .../04-Big O for Python Data Structures.ipynb |  36 +-
 ...05-Algorithm Analysis and Big O Quiz.ipynb |  12 +-
 ... to Array Based Sequences-checkpoint.ipynb |  24 +-
 .../02-Low Level Arrays-checkpoint.ipynb      |  12 +-
 ...04-Dynamic Array Exercise-checkpoint.ipynb |  48 ++-
 .../05-Amortization-checkpoint.ipynb          |  12 +-
 .../06-Array Mini-Project-checkpoint.ipynb    |  12 +-
 .../Amortization-checkpoint.ipynb             |   0
 .../Array Mini-Project-checkpoint.ipynb       |   0
 .../Dynamic Array Exercise-checkpoint.ipynb   |   0
 .../Dynamic Arrays-checkpoint.ipynb           |   0
 ... to Array Based Sequences-checkpoint.ipynb |   0
 .../Low Level Arrays-checkpoint.ipynb         |   0
 ...ntroduction to Array Based Sequences.ipynb | 106 ++++++
 02-Array Sequences/02-Low Level Arrays.ipynb  |  43 +++
 .../03-Dynamic Array.ipynb                    |   0
 .../04-Dynamic Array Exercise.ipynb           | 305 +++++++++++++++++
 02-Array Sequences/05-Amortization.ipynb      |  44 +++
 .../06-Array Mini-Project.ipynb               |  45 +++
 .../01-Anagram Check -checkpoint.ipynb        |  32 +-
 .../02-Array Pair Sum -checkpoint.ipynb       |  10 +-
 ...Find the Missing Element -checkpoint.ipynb |  31 +-
 ...4-Largest Continuous Sum -checkpoint.ipynb |  10 +-
 .../05-Sentence Reversal-checkpoint.ipynb     |  22 +-
 .../06-String Compression -checkpoint.ipynb   |  10 +-
 ...ique Characters in String-checkpoint.ipynb |   8 +-
 .../Anagram Check -checkpoint.ipynb           |   0
 .../Array Pair Sum -checkpoint.ipynb          |   0
 ...Find the Missing Element -checkpoint.ipynb |   0
 .../Largest Continuous Sum -checkpoint.ipynb  |   0
 .../Sentence Reversal-checkpoint.ipynb        |   0
 .../String Compression -checkpoint.ipynb      |   0
 ...ique Characters in String-checkpoint.ipynb |   0
 .../01-Anagram Check .ipynb                   | 217 ++++++++++++
 .../02-Array Pair Sum .ipynb                  | 136 ++++++++
 .../03-Find the Missing Element .ipynb        | 164 +++++++++
 .../04-Largest Continuous Sum .ipynb          | 128 ++++++++
 .../05-Sentence Reversal.ipynb                | 220 +++++++++++++
 .../06-String Compression .ipynb              | 143 ++++++++
 .../07-Unique Characters in String.ipynb      | 126 +++++++
 ...-Anagram Check - SOLUTION-checkpoint.ipynb |  36 +-
 ...Array Pair Sum - SOLUTION-checkpoint.ipynb |  34 +-
 ...issing Element - SOLUTION-checkpoint.ipynb |  62 ++--
 ...Continuous Sum - SOLUTION-checkpoint.ipynb |  12 +-
 ...tence Reversal - SOLUTION-checkpoint.ipynb |  46 +--
 ...ing Compression -SOLUTION-checkpoint.ipynb |   6 +-
 ...ters in String - SOLUTION-checkpoint.ipynb |  18 +-
 .../Anagram Check - SOLUTION-checkpoint.ipynb |   0
 ...Array Pair Sum - SOLUTION-checkpoint.ipynb |   0
 ...issing Element - SOLUTION-checkpoint.ipynb |   0
 ...Continuous Sum - SOLUTION-checkpoint.ipynb |   0
 ...tence Reversal - SOLUTION-checkpoint.ipynb |   0
 ...ing Compression -SOLUTION-checkpoint.ipynb |   0
 ...ters in String - SOLUTION-checkpoint.ipynb |   0
 .../01-Anagram Check - SOLUTION.ipynb         | 310 ++++++++++++++++++
 .../02-Array Pair Sum - SOLUTION.ipynb        | 156 +++++++++
 ...-Find the Missing Element - SOLUTION.ipynb | 258 +++++++++++++++
 ...04-Largest Continuous Sum - SOLUTION.ipynb | 140 ++++++++
 .../05-Sentence Reversal - SOLUTION.ipynb     | 257 +++++++++++++++
 .../06-String Compression -SOLUTION.ipynb     | 162 +++++++++
 ...ique Characters in String - SOLUTION.ipynb | 118 +++++++
 .../01-Anagram Check -checkpoint.ipynb        | 109 ++----
 .../02-Array Pair Sum -checkpoint.ipynb       |  22 +-
 ...Find the Missing Element -checkpoint.ipynb |  30 +-
 ...4-Largest Continuous Sum -checkpoint.ipynb |  26 +-
 .../05-Sentence Reversal-checkpoint.ipynb     |  26 +-
 .../06-String Compression -checkpoint.ipynb   |  55 +---
 ...ique Characters in String-checkpoint.ipynb |  18 +-
 .../01-Anagram Check .ipynb                   | 109 ++----
 .../02-Array Pair Sum .ipynb                  |  22 +-
 .../03-Find the Missing Element .ipynb        |  30 +-
 .../04-Largest Continuous Sum .ipynb          |  26 +-
 .../05-Sentence Reversal.ipynb                |  26 +-
 .../06-String Compression .ipynb              |  55 +---
 .../07-Unique Characters in String.ipynb      |  18 +-
 ...eues, and Deques Overview-checkpoint.ipynb |  12 +-
 .../02-Stacks Overview-checkpoint.ipynb       |  92 ++++++
 ...3-Implementation of Stack-checkpoint.ipynb | 125 +++----
 .../04-Queues Overview-checkpoint.ipynb       | 121 +++++++
 ...5-Implementation of Queue-checkpoint.ipynb |  36 +-
 .../06-Deques Overview-checkpoint.ipynb       |  67 ++++
 ...7-Implementation of Deque-checkpoint.ipynb |  58 ++--
 ...-Stacks, Queues, and Deques Overview.ipynb |  12 +-
 .../02-Stacks Overview.ipynb                  |  92 ++++++
 .../03-Implementation of Stack.ipynb          | 125 +++----
 .../04-Queues Overview.ipynb                  | 121 +++++++
 .../05-Implementation of Queue.ipynb          |  36 +-
 .../06-Deques Overview.ipynb                  |  67 ++++
 .../07-Implementation of Deque.ipynb          |  58 ++--
 .../01-Implement a Stack -checkpoint.ipynb    |  36 +-
 .../02-Implement a Queue-checkpoint.ipynb     |   8 +-
 .../03-Implement a Deque -checkpoint.ipynb    |  32 +-
 ...lanced Parentheses Check -checkpoint.ipynb |  18 +-
 ... Queue -Using Two Stacks -checkpoint.ipynb |  12 +-
 ...lanced Parentheses Check -checkpoint.ipynb |   0
 .../Implement a Deque -checkpoint.ipynb       |   0
 ... Queue -Using Two Stacks -checkpoint.ipynb |   0
 .../Implement a Queue-checkpoint.ipynb        |   0
 .../Implement a Stack -checkpoint.ipynb       |   0
 .../01-Implement a Stack .ipynb               | 228 +++++++++++++
 .../02-Implement a Queue.ipynb                | 104 ++++++
 .../03-Implement a Deque .ipynb               | 206 ++++++++++++
 .../04-Balanced Parentheses Check .ipynb      | 169 ++++++++++
 ...Implement a Queue -Using Two Stacks .ipynb | 129 ++++++++
 ...lement a Stack - SOLUTION-checkpoint.ipynb |   8 +-
 ...lement a Queue - SOLUTION-checkpoint.ipynb |   6 +-
 ...lement a Deque - SOLUTION-checkpoint.ipynb |   6 +-
 ...entheses Check - SOLUTION-checkpoint.ipynb |  24 +-
 ...ing Two Stacks - SOLUTION-checkpoint.ipynb |  22 +-
 ...entheses Check - SOLUTION-checkpoint.ipynb |   0
 ...lement a Deque - SOLUTION-checkpoint.ipynb |   0
 ...lement a Queue - SOLUTION-checkpoint.ipynb |   0
 ...ing Two Stacks - SOLUTION-checkpoint.ipynb |   0
 ...lement a Stack - SOLUTION-checkpoint.ipynb |   0
 .../01-Implement a Stack - SOLUTION.ipynb     |  61 ++++
 .../02-Implement a Queue - SOLUTION.ipynb     |  57 ++++
 .../03-Implement a Deque - SOLUTION.ipynb     |  63 ++++
 ...alanced Parentheses Check - SOLUTION.ipynb | 202 ++++++++++++
 ...a Queue -Using Two Stacks - SOLUTION.ipynb | 128 ++++++++
 .../01-Implement a Stack -checkpoint.ipynb    |  12 +-
 .../02-Implement a Queue-checkpoint.ipynb     |  12 +-
 .../03-Implement a Deque -checkpoint.ipynb    |  12 +-
 ...lanced Parentheses Check -checkpoint.ipynb |  30 +-
 ... Queue -Using Two Stacks -checkpoint.ipynb |  50 +--
 .../Implement a Stack -checkpoint.ipynb       |   0
 .../01-Implement a Stack .ipynb               |  57 ++++
 .../02-Implement a Queue.ipynb                |  12 +-
 .../03-Implement a Deque .ipynb               |  12 +-
 .../04-Balanced Parentheses Check .ipynb      |  30 +-
 ...Implement a Queue -Using Two Stacks .ipynb |  50 +--
 .../01-Linked List Overview-checkpoint.ipynb  |  12 +-
 .../02-Singly Linked Lists-checkpoint.ipynb   |  12 +-
 ...inked List Implementation-checkpoint.ipynb |  36 +-
 .../04-Doubly Linked Lists-checkpoint.ipynb   |  12 +-
 ...inked List Implementation-checkpoint.ipynb |  28 +-
 .../01-Linked List Overview.ipynb             |  12 +-
 .../02-Singly Linked Lists.ipynb              |  12 +-
 ...03-Singly Linked List Implementation.ipynb |  36 +-
 .../04-Doubly Linked Lists.ipynb              |  12 +-
 ...05-Doubly Linked List Implementation.ipynb |  28 +-
 ...y Linked List Cycle Check-checkpoint.ipynb |   8 +-
 .../02-Linked List Reversal -checkpoint.ipynb |  92 ++----
 ...ed List Nth to Last Node -checkpoint.ipynb |  35 +-
 ...ment a Doubly Linked List-checkpoint.ipynb |   2 +-
 ...ment a Singly Linked List-checkpoint.ipynb |   2 +-
 ...ment a Doubly Linked List-checkpoint.ipynb |   0
 ...ment a Singly Linked List-checkpoint.ipynb |   0
 ...ed List Nth to Last Node -checkpoint.ipynb |   0
 .../Linked List Reversal -checkpoint.ipynb    |   0
 ...y Linked List Cycle Check-checkpoint.ipynb |   0
 .../01-Singly Linked List Cycle Check.ipynb   |  40 +--
 .../02-Linked List Reversal .ipynb            | 194 +++++++++++
 .../03-Linked List Nth to Last Node .ipynb    | 173 ++++++++++
 .../04-Implement a Doubly Linked List.ipynb   |  69 ++++
 .../04-Implement a Singly Linked List.ipynb   |  69 ++++
 ...st Cycle Check - SOLUTION-checkpoint.ipynb |  30 +-
 ... List Reversal - SOLUTION-checkpoint.ipynb |  82 ++---
 ...h to Last Node - SOLUTION-checkpoint.ipynb |  75 +++--
 ...t a Linked List -SOLUTION-checkpoint.ipynb |  40 +--
 ...t a Linked List -SOLUTION-checkpoint.ipynb |   0
 ...h to Last Node - SOLUTION-checkpoint.ipynb |   0
 ... List Reversal - SOLUTION-checkpoint.ipynb |   0
 ...st Cycle Check - SOLUTION-checkpoint.ipynb |   0
 ...y Linked List Cycle Check - SOLUTION.ipynb |  58 ++--
 .../02-Linked List Reversal - SOLUTION.ipynb  | 117 +++----
 ...ked List Nth to Last Node - SOLUTION.ipynb | 213 ++++++++++++
 ...04-Implement a Linked List -SOLUTION.ipynb | 144 ++++++++
 ...y Linked List Cycle Check-checkpoint.ipynb | 148 +++++++++
 .../02-Linked List Reversal -checkpoint.ipynb | 173 ++++++++++
 ...ed List Nth to Last Node -checkpoint.ipynb |  67 ++--
 ...ment a Doubly Linked List-checkpoint.ipynb |  12 +-
 ...ment a Singly Linked List-checkpoint.ipynb |  12 +-
 .../01-Singly Linked List Cycle Check.ipynb   | 148 +++++++++
 .../02-Linked List Reversal .ipynb            | 173 ++++++++++
 .../03-Linked List Nth to Last Node .ipynb    |  67 ++--
 .../04-Implement a Doubly Linked List.ipynb   |  12 +-
 .../04-Implement a Singly Linked List.ipynb   |  12 +-
 ...Introduction to Recursion-checkpoint.ipynb |  34 +-
 ...Homework Example Problems-checkpoint.ipynb | 163 ++-------
 ...mple Problems - SOLUTIONS-checkpoint.ipynb | 155 +++------
 ...ample Problems - PRACTICE-checkpoint.ipynb |  32 +-
 .../05-Memoization-checkpoint.ipynb           |  14 +-
 .../01-Introduction to Recursion.ipynb        |  34 +-
 ...-Recursion Homework Example Problems.ipynb | 163 ++-------
 ...omework Example Problems - SOLUTIONS.ipynb | 155 +++------
 ...Homework Example Problems - PRACTICE.ipynb |  32 +-
 .../05-Memoization.ipynb                      |  28 +-
 ...Reverse String - SOLUTION-checkpoint.ipynb |  12 +-
 ...ing Permutation- SOLUTION-checkpoint.ipynb |  16 +-
 ...nacci Sequence - SOLUTION-checkpoint.ipynb |  26 +-
 ...04-Coin Change - SOLUTION-checkpoint.ipynb |  56 +---
 .../01-Reverse String - SOLUTION.ipynb        |  34 +-
 .../02-String Permutation- SOLUTION.ipynb     |  34 +-
 .../03-Fibonacci Sequence - SOLUTION.ipynb    |  56 ++--
 .../04-Coin Change - SOLUTION.ipynb           |  87 ++---
 .../01-Reverse String -checkpoint.ipynb       |  10 +-
 .../02-String Permutation-checkpoint.ipynb    |  10 +-
 .../03-Fibonacci Sequence-checkpoint.ipynb    |  22 +-
 .../04-Coin Change-checkpoint.ipynb           |  34 +-
 ...m 2 - String Permutations-checkpoint.ipynb |   0
 .../01-Reverse String .ipynb                  |  10 +-
 .../02-String Permutation.ipynb               |  43 +--
 .../03-Fibonacci Sequence.ipynb               |  38 ++-
 .../04-Coin Change.ipynb                      |  62 ++--
 .../01-Reverse String -checkpoint.ipynb       |  26 +-
 .../02-String Permutation-checkpoint.ipynb    |  22 +-
 .../03-Fibonacci Sequence-checkpoint.ipynb    |  38 +--
 .../04-Coin Change-checkpoint.ipynb           |  22 +-
 ...m 2 - String Permutations-checkpoint.ipynb |   0
 .../01-Reverse String .ipynb                  |  26 +-
 .../02-String Permutation.ipynb               |  22 +-
 .../03-Fibonacci Sequence.ipynb               |  38 +--
 .../Recursion Problems/04-Coin Change.ipynb   |  22 +-
 ...on Implementation (Lists)-checkpoint.ipynb |  18 +-
 ...on (Nodes and References)-checkpoint.ipynb |  30 +-
 ...inary Heap Implementation-checkpoint.ipynb |  25 +-
 .../04-Binary Search Trees-checkpoint.ipynb   |  24 +-
 ...epresentation Implementation (Lists).ipynb |  18 +-
 ...mplementation (Nodes and References).ipynb |  30 +-
 .../03-Binary Heap Implementation.ipynb       |  25 +-
 .../04-Binary Search Trees.ipynb              |  24 +-
 ...-Binary Search Tree Check-checkpoint.ipynb |   6 +-
 ...02-Tree Level Order Print-checkpoint.ipynb |   6 +-
 ...rim a Binary Search Tree -checkpoint.ipynb |   2 +-
 .../01-Binary Search Tree Check.ipynb         |   6 +-
 .../02-Tree Level Order Print.ipynb           |   6 +-
 .../03-Trim a Binary Search Tree .ipynb       |   2 +-
 .../Node.py                                   |   0
 .../bst1.png                                  | Bin
 .../bst_trim.png                              | Bin
 .../tree_print.png                            | Bin
 ...rch Tree Check - SOLUTION-checkpoint.ipynb |  36 +-
 ...el Order Print - SOLUTION-checkpoint.ipynb |  18 +-
 ...ry Search Tree - SOLUTION-checkpoint.ipynb |   8 +-
 ...-Binary Search Tree Check - SOLUTION.ipynb |  36 +-
 ...02-Tree Level Order Print - SOLUTION.ipynb |  28 +-
 ...Trim a Binary Search Tree - SOLUTION.ipynb |  18 +-
 .../bst1.png                                  | Bin
 .../bst_trim.png                              | Bin
 .../tree_print.png                            | Bin
 ...-Binary Search Tree Check-checkpoint.ipynb |  16 +-
 ...02-Tree Level Order Print-checkpoint.ipynb |  12 +-
 ...rim a Binary Search Tree -checkpoint.ipynb |  18 +-
 .../01-Binary Search Tree Check.ipynb         |  16 +-
 .../02-Tree Level Order Print.ipynb           |  12 +-
 .../03-Trim a Binary Search Tree .ipynb       |  18 +-
 .../Trees Interview Problems/bst1.png         | Bin
 .../Trees Interview Problems/bst_trim.png     | Bin
 .../Trees Interview Problems/tree_print.png   | Bin
 .../01-Sequential Search-checkpoint.ipynb     |  66 ++--
 ...entation of Binary Search-checkpoint.ipynb |  66 ++--
 ...mentation of a Hash Table-checkpoint.ipynb |  44 +--
 ...ementation of Bubble Sort-checkpoint.ipynb |  14 +-
 ...ntation of Selection Sort-checkpoint.ipynb |  20 +-
 ...ntation of Insertion Sort-checkpoint.ipynb |  12 +-
 ...lementation of Shell Sort-checkpoint.ipynb |  26 +-
 ...lementation of Merge Sort-checkpoint.ipynb |   8 +-
 ...lementation of Quick Sort-checkpoint.ipynb |  12 +-
 .../01-Sequential Search.ipynb                |  66 ++--
 .../02-Implementation of Binary Search.ipynb  |  66 ++--
 .../03-Implementation of a Hash Table.ipynb   |  70 ++--
 .../04-Implementation of Bubble Sort.ipynb    |  32 +-
 .../05-Implementation of Selection Sort.ipynb |  20 +-
 .../06-Implementation of Insertion Sort.ipynb |  26 +-
 .../07-Implementation of Shell Sort.ipynb     |  26 +-
 .../08-Implementation of Merge Sort.ipynb     |  22 +-
 .../09-Implementation of Quick Sort.ipynb     |  26 +-
 ...ntation of Graph Overview-checkpoint.ipynb |  30 +-
 ...ntation of Adjacency List-checkpoint.ipynb |  58 ++--
 ...rd Ladder Example Problem-checkpoint.ipynb |  30 +-
 ...ht's Tour Example Problem-checkpoint.ipynb |  24 +-
 ...ion of Depth First Search-checkpoint.ipynb |  20 +-
 ...n of Breadth First Search-checkpoint.ipynb |   6 +-
 .../01-Implementation of Graph Overview.ipynb |  48 ++-
 .../02-Implementation of Adjacency List.ipynb |  80 ++---
 .../03-Word Ladder Example Problem.ipynb      |  30 +-
 .../04-Knight's Tour Example Problem.ipynb    |  24 +-
 ...Implementation of Depth First Search.ipynb |  42 +--
 ...plementation of Breadth First Search.ipynb |  28 +-
 .../01-Implement a Graph-checkpoint.ipynb     |  16 +-
 ...th First Search Algorithm-checkpoint.ipynb |  18 +-
 ...th First Search Algorithm-checkpoint.ipynb |   6 +-
 .../01-Implement a Graph.ipynb                | 223 +++++++++++++
 ...plement Depth First Search Algorithm.ipynb |  60 ++++
 ...ement Breadth First Search Algorithm.ipynb |   6 +-
 .../01-Implement a Graph-checkpoint.ipynb     |  12 +-
 ...th First Search Algorithm-checkpoint.ipynb |  12 +-
 ...th First Search Algorithm-checkpoint.ipynb |   2 +-
 .../01-Implement a Graph.ipynb                |  12 +-
 ...plement Depth First Search Algorithm.ipynb |  12 +-
 ...ement Breadth First Search Algorithm.ipynb |  12 +-
 {Graphs => 08-Graphs}/words.txt               |   0
 ...1-How to Approach Riddles-checkpoint.ipynb |  12 +-
 .../01-How to Approach Riddles.ipynb          |  12 +-
 ...ridge Crossing - SOLUTION-checkpoint.ipynb |   2 +-
 ...ns and a Scale - SOLUTION-checkpoint.ipynb |  12 +-
 .../03-Egg Drop - SOLUTION-checkpoint.ipynb   |   2 +-
 ...Hallway Lockers -SOLUTION-checkpoint.ipynb |  12 +-
 ...-Jugs of Water - SOLUTION-checkpoint.ipynb | 110 +++++++
 ...Light Switches - SOLUTION-checkpoint.ipynb |  12 +-
 ...-Ropes Burning - SOLUTION-checkpoint.ipynb |  12 +-
 .../01-Bridge Crossing - SOLUTION.ipynb       |  12 +-
 .../02-Coins and a Scale - SOLUTION.ipynb     |  12 +-
 .../03-Egg Drop - SOLUTION.ipynb              |  12 +-
 .../04-Hallway Lockers -SOLUTION.ipynb        |  12 +-
 .../05-Jugs of Water - SOLUTION.ipynb         | 110 +++++++
 .../06-Light Switches - SOLUTION.ipynb        |  12 +-
 .../07-Ropes Burning - SOLUTION.ipynb         |  12 +-
 .../01-Bridge Crossing-checkpoint.ipynb       |  12 +-
 .../02-Coins and a Scale -checkpoint.ipynb    |  12 +-
 .../03-Egg Drop -checkpoint.ipynb             |  12 +-
 .../04-Hallway Lockers-checkpoint.ipynb       |  12 +-
 .../05-Jugs of Water -checkpoint.ipynb        |  12 +-
 .../06-Light Switches -checkpoint.ipynb       |  12 +-
 .../07-Ropes Burning-checkpoint.ipynb         |  12 +-
 .../01-Bridge Crossing.ipynb                  |  12 +-
 .../02-Coins and a Scale .ipynb               |  12 +-
 .../03-Egg Drop .ipynb                        |  12 +-
 .../04-Hallway Lockers.ipynb                  |  12 +-
 .../05-Jugs of Water .ipynb                   |  12 +-
 .../06-Light Switches .ipynb                  |  12 +-
 .../07-Ropes Burning.ipynb                    |  12 +-
 ...ite Question 1 - SOLUTION-checkpoint.ipynb |  26 +-
 ...ite Question 2 - SOLUTION-checkpoint.ipynb |  16 +-
 ...ite Question 3 - SOLUTION-checkpoint.ipynb |  42 +--
 ...4-Phone Screen - SOLUTION-checkpoint.ipynb |  12 +-
 .../01-On-Site Question 1 - SOLUTION.ipynb    |  48 ++-
 .../02-On-Site Question 2 - SOLUTION.ipynb    |  34 +-
 .../03-On-Site Question 3 - SOLUTION.ipynb    |  42 +--
 .../04-Phone Screen - SOLUTION.ipynb          |  12 +-
 .../01-On-Site Question 1-checkpoint.ipynb    |  12 +-
 .../02-On-Site Question 2 -checkpoint.ipynb   |   2 +-
 .../03-On-Site Question 3-checkpoint.ipynb    |  18 +-
 .../04-Phone Screen -checkpoint.ipynb         |  12 +-
 .../01-On-Site Question 1.ipynb               |  12 +-
 .../02-On-Site Question 2 .ipynb              |  12 +-
 .../03-On-Site Question 3.ipynb               |  18 +-
 .../04-Phone Screen .ipynb                    |  12 +-
 ...ite Question 1 - SOLUTION-checkpoint.ipynb |  35 +-
 ...ite Question 2 - SOLUTION-checkpoint.ipynb |  32 +-
 ...Site Question 3 -SOLUTION-checkpoint.ipynb |  16 +-
 ...ite Question 4 - SOLUTION-checkpoint.ipynb |  80 ++---
 .../05-Phone Screen-checkpoint.ipynb          |  41 ++-
 .../01-On-Site Question 1 - SOLUTION.ipynb    |  35 +-
 .../02-On-Site Question 2 - SOLUTION.ipynb    |  34 +-
 .../03-On-Site Question 3 -SOLUTION.ipynb     |  16 +-
 .../04-On-Site Question 4 - SOLUTION.ipynb    |  80 ++---
 .../05-Phone Screen.ipynb                     |  41 ++-
 .../01-On-Site Question 1 -checkpoint.ipynb   |   6 +-
 .../02-On-Site Question 2 -checkpoint.ipynb   |  12 +-
 .../03-On-Site Question 3 -checkpoint.ipynb   |  12 +-
 .../04-On-Site Question 4 -checkpoint.ipynb   |  12 +-
 .../05-Phone Screen-checkpoint.ipynb          |  12 +-
 .../01-On-Site Question 1 .ipynb              |   6 +-
 .../02-On-Site Question 2 .ipynb              |  12 +-
 .../03-On-Site Question 3 .ipynb              |  12 +-
 .../04-On-Site Question 4 .ipynb              |  12 +-
 .../05-Phone Screen.ipynb                     |  12 +-
 ...ite Question 1 - SOLUTION-checkpoint.ipynb |   0
 ...ite Question 2 - SOLUTION-checkpoint.ipynb |   0
 ...ite Question 3 - SOLUTION-checkpoint.ipynb |   0
 .../Phone Screen - SOLUTION-checkpoint.ipynb  |   0
 .../On-Site Question 1 - SOLUTION.ipynb       |   0
 .../On-Site Question 2 - SOLUTION.ipynb       |   0
 .../On-Site Question 3 - SOLUTION.ipynb       |   0
 .../Phone Screen - SOLUTION.ipynb             |   0
 .../On-Site Question 1 -checkpoint.ipynb      |   0
 .../On-Site Question 2 -checkpoint.ipynb      |   0
 .../On-Site Question 3 -checkpoint.ipynb      |   0
 .../Phone Screen -checkpoint.ipynb            |   0
 .../On-Site Question 1 .ipynb                 |   0
 .../On-Site Question 2 .ipynb                 |   0
 .../On-Site Question 3 .ipynb                 |   0
 .../Phone Screen .ipynb                       |   0
 ...ite Question 1 - SOLUTION-checkpoint.ipynb |   0
 ...ite Question 2 - SOLUTION-checkpoint.ipynb |   0
 ...ite Question 3 - SOLUTION-checkpoint.ipynb |   0
 .../Phone Screen - SOLUTION-checkpoint.ipynb  |   0
 .../On-Site Question 1 - SOLUTION.ipynb       |   0
 .../On-Site Question 2 - SOLUTION.ipynb       |   0
 .../On-Site Question 3 - SOLUTION.ipynb       |   0
 .../Phone Screen - SOLUTION.ipynb             |   0
 .../On-Site Question 1-checkpoint.ipynb       |   0
 .../On-Site Question 2-checkpoint.ipynb       |   0
 .../On-Site Question 3-checkpoint.ipynb       |   0
 .../Phone Screen -checkpoint.ipynb            |   0
 .../On-Site Question 1.ipynb                  |   0
 .../On-Site Question 2.ipynb                  |   0
 .../On-Site Question 3.ipynb                  |   0
 .../Phone Screen .ipynb                       |   0
 .../Big O Notation-checkpoint.ipynb           | 206 ------------
 .../Big O Notation.ipynb                      | 206 ------------
 .../Implement a Graph-checkpoint.ipynb        |  45 ---
 ...plement Depth First Search Algorithm.ipynb |  62 ----
 .../Linked List Reversal .ipynb               | 244 --------------
 .../Jugs of Water - SOLUTION-checkpoint.ipynb | 113 -------
 .../Jugs of Water - SOLUTION.ipynb            | 113 -------
 .../Deques Overview-checkpoint.ipynb          |  69 ----
 .../Queues Overview-checkpoint.ipynb          | 115 -------
 .../Stacks Overview-checkpoint.ipynb          |  94 ------
 .../Deques Overview.ipynb                     |  69 ----
 .../Queues Overview.ipynb                     | 115 -------
 .../Stacks Overview.ipynb                     |  94 ------
 411 files changed, 10474 insertions(+), 6180 deletions(-)
 rename {Algorithm Analysis and Big O => 01-Algorithm Analysis and Big O}/.ipynb_checkpoints/Algorithm Analysis and Big O Quiz-checkpoint.ipynb (74%)
 rename {Algorithm Analysis and Big O => 01-Algorithm Analysis and Big O}/.ipynb_checkpoints/Big O Examples -checkpoint.ipynb (87%)
 create mode 100644 01-Algorithm Analysis and Big O/.ipynb_checkpoints/Big O Notation-checkpoint.ipynb
 rename {Algorithm Analysis and Big O => 01-Algorithm Analysis and Big O}/.ipynb_checkpoints/Big O for Python Data Structures-checkpoint.ipynb (89%)
 rename {Algorithm Analysis and Big O => 01-Algorithm Analysis and Big O}/.ipynb_checkpoints/Introduction to Algorithm Analysis and Big O -checkpoint.ipynb (81%)
 rename Algorithm Analysis and Big O/Introduction to Algorithm Analysis and Big O .ipynb => 01-Algorithm Analysis and Big O/01-Introduction to Algorithm Analysis and Big O .ipynb (81%)
 create mode 100644 01-Algorithm Analysis and Big O/02-Big O Notation.ipynb
 rename Algorithm Analysis and Big O/Big O Examples .ipynb => 01-Algorithm Analysis and Big O/03-Big O Examples .ipynb (92%)
 rename Algorithm Analysis and Big O/Big O for Python Data Structures.ipynb => 01-Algorithm Analysis and Big O/04-Big O for Python Data Structures.ipynb (91%)
 rename Algorithm Analysis and Big O/Algorithm Analysis and Big O Quiz.ipynb => 01-Algorithm Analysis and Big O/05-Algorithm Analysis and Big O Quiz.ipynb (74%)
 rename Array Sequences/Introduction to Array Based Sequences.ipynb => 02-Array Sequences/.ipynb_checkpoints/01-Introduction to Array Based Sequences-checkpoint.ipynb (86%)
 rename Array Sequences/Low Level Arrays.ipynb => 02-Array Sequences/.ipynb_checkpoints/02-Low Level Arrays-checkpoint.ipynb (82%)
 rename Array Sequences/Dynamic Array Exercise.ipynb => 02-Array Sequences/.ipynb_checkpoints/04-Dynamic Array Exercise-checkpoint.ipynb (90%)
 rename Array Sequences/Amortization.ipynb => 02-Array Sequences/.ipynb_checkpoints/05-Amortization-checkpoint.ipynb (82%)
 rename Array Sequences/Array Mini-Project.ipynb => 02-Array Sequences/.ipynb_checkpoints/06-Array Mini-Project-checkpoint.ipynb (82%)
 rename {Array Sequences => 02-Array Sequences}/.ipynb_checkpoints/Amortization-checkpoint.ipynb (100%)
 rename {Array Sequences => 02-Array Sequences}/.ipynb_checkpoints/Array Mini-Project-checkpoint.ipynb (100%)
 rename {Array Sequences => 02-Array Sequences}/.ipynb_checkpoints/Dynamic Array Exercise-checkpoint.ipynb (100%)
 rename {Array Sequences => 02-Array Sequences}/.ipynb_checkpoints/Dynamic Arrays-checkpoint.ipynb (100%)
 rename {Array Sequences => 02-Array Sequences}/.ipynb_checkpoints/Introduction to Array Based Sequences-checkpoint.ipynb (100%)
 rename {Array Sequences => 02-Array Sequences}/.ipynb_checkpoints/Low Level Arrays-checkpoint.ipynb (100%)
 create mode 100644 02-Array Sequences/01-Introduction to Array Based Sequences.ipynb
 create mode 100644 02-Array Sequences/02-Low Level Arrays.ipynb
 rename Array Sequences/Dynamic Arrays.ipynb => 02-Array Sequences/03-Dynamic Array.ipynb (100%)
 create mode 100644 02-Array Sequences/04-Dynamic Array Exercise.ipynb
 create mode 100644 02-Array Sequences/05-Amortization.ipynb
 create mode 100644 02-Array Sequences/06-Array Mini-Project.ipynb
 rename Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/Anagram Check .ipynb => 02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/.ipynb_checkpoints/01-Anagram Check -checkpoint.ipynb (80%)
 rename Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/Array Pair Sum .ipynb => 02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/.ipynb_checkpoints/02-Array Pair Sum -checkpoint.ipynb (96%)
 rename Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/Find the Missing Element .ipynb => 02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/.ipynb_checkpoints/03-Find the Missing Element -checkpoint.ipynb (88%)
 rename Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/Largest Continuous Sum .ipynb => 02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/.ipynb_checkpoints/04-Largest Continuous Sum -checkpoint.ipynb (95%)
 rename Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/Sentence Reversal.ipynb => 02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/.ipynb_checkpoints/05-Sentence Reversal-checkpoint.ipynb (93%)
 rename Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/String Compression .ipynb => 02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/.ipynb_checkpoints/06-String Compression -checkpoint.ipynb (95%)
 rename Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/Unique Characters in String.ipynb => 02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/.ipynb_checkpoints/07-Unique Characters in String-checkpoint.ipynb (96%)
 rename {Array Sequences => 02-Array Sequences}/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/.ipynb_checkpoints/Anagram Check -checkpoint.ipynb (100%)
 rename {Array Sequences => 02-Array Sequences}/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/.ipynb_checkpoints/Array Pair Sum -checkpoint.ipynb (100%)
 rename {Array Sequences => 02-Array Sequences}/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/.ipynb_checkpoints/Find the Missing Element -checkpoint.ipynb (100%)
 rename {Array Sequences => 02-Array Sequences}/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/.ipynb_checkpoints/Largest Continuous Sum -checkpoint.ipynb (100%)
 rename {Array Sequences => 02-Array Sequences}/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/.ipynb_checkpoints/Sentence Reversal-checkpoint.ipynb (100%)
 rename {Array Sequences => 02-Array Sequences}/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/.ipynb_checkpoints/String Compression -checkpoint.ipynb (100%)
 rename {Array Sequences => 02-Array Sequences}/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/.ipynb_checkpoints/Unique Characters in String-checkpoint.ipynb (100%)
 create mode 100644 02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/01-Anagram Check .ipynb
 create mode 100644 02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/02-Array Pair Sum .ipynb
 create mode 100644 02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/03-Find the Missing Element .ipynb
 create mode 100644 02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/04-Largest Continuous Sum .ipynb
 create mode 100644 02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/05-Sentence Reversal.ipynb
 create mode 100644 02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/06-String Compression .ipynb
 create mode 100644 02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/07-Unique Characters in String.ipynb
 rename Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/Anagram Check - SOLUTION.ipynb => 02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/.ipynb_checkpoints/01-Anagram Check - SOLUTION-checkpoint.ipynb (93%)
 rename Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/Array Pair Sum - SOLUTION.ipynb => 02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/.ipynb_checkpoints/02-Array Pair Sum - SOLUTION-checkpoint.ipynb (89%)
 rename Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/Find the Missing Element - SOLUTION.ipynb => 02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/.ipynb_checkpoints/03-Find the Missing Element - SOLUTION-checkpoint.ipynb (89%)
 rename Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/Largest Continuous Sum - SOLUTION.ipynb => 02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/.ipynb_checkpoints/04-Largest Continuous Sum - SOLUTION-checkpoint.ipynb (95%)
 rename Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/Sentence Reversal - SOLUTION.ipynb => 02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/.ipynb_checkpoints/05-Sentence Reversal - SOLUTION-checkpoint.ipynb (79%)
 rename Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/String Compression -SOLUTION.ipynb => 02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/.ipynb_checkpoints/06-String Compression -SOLUTION-checkpoint.ipynb (97%)
 rename Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/Unique Characters in String - SOLUTION.ipynb => 02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/.ipynb_checkpoints/07-Unique Characters in String - SOLUTION-checkpoint.ipynb (93%)
 rename {Array Sequences => 02-Array Sequences}/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/.ipynb_checkpoints/Anagram Check - SOLUTION-checkpoint.ipynb (100%)
 rename {Array Sequences => 02-Array Sequences}/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/.ipynb_checkpoints/Array Pair Sum - SOLUTION-checkpoint.ipynb (100%)
 rename {Array Sequences => 02-Array Sequences}/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/.ipynb_checkpoints/Find the Missing Element - SOLUTION-checkpoint.ipynb (100%)
 rename {Array Sequences => 02-Array Sequences}/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/.ipynb_checkpoints/Largest Continuous Sum - SOLUTION-checkpoint.ipynb (100%)
 rename {Array Sequences => 02-Array Sequences}/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/.ipynb_checkpoints/Sentence Reversal - SOLUTION-checkpoint.ipynb (100%)
 rename {Array Sequences => 02-Array Sequences}/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/.ipynb_checkpoints/String Compression -SOLUTION-checkpoint.ipynb (100%)
 rename {Array Sequences => 02-Array Sequences}/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/.ipynb_checkpoints/Unique Characters in String - SOLUTION-checkpoint.ipynb (100%)
 create mode 100644 02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/01-Anagram Check - SOLUTION.ipynb
 create mode 100644 02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/02-Array Pair Sum - SOLUTION.ipynb
 create mode 100644 02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/03-Find the Missing Element - SOLUTION.ipynb
 create mode 100644 02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/04-Largest Continuous Sum - SOLUTION.ipynb
 create mode 100644 02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/05-Sentence Reversal - SOLUTION.ipynb
 create mode 100644 02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/06-String Compression -SOLUTION.ipynb
 create mode 100644 02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/07-Unique Characters in String - SOLUTION.ipynb
 rename Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions/.ipynb_checkpoints/Anagram Check -checkpoint.ipynb => 02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions/.ipynb_checkpoints/01-Anagram Check -checkpoint.ipynb (62%)
 rename Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions/Array Pair Sum .ipynb => 02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions/.ipynb_checkpoints/02-Array Pair Sum -checkpoint.ipynb (88%)
 rename Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions/.ipynb_checkpoints/Find the Missing Element -checkpoint.ipynb => 02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions/.ipynb_checkpoints/03-Find the Missing Element -checkpoint.ipynb (88%)
 rename Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions/Largest Continuous Sum .ipynb => 02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions/.ipynb_checkpoints/04-Largest Continuous Sum -checkpoint.ipynb (86%)
 rename Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions/Sentence Reversal.ipynb => 02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions/.ipynb_checkpoints/05-Sentence Reversal-checkpoint.ipynb (89%)
 rename Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions/.ipynb_checkpoints/String Compression -checkpoint.ipynb => 02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions/.ipynb_checkpoints/06-String Compression -checkpoint.ipynb (71%)
 rename Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions/Unique Characters in String.ipynb => 02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions/.ipynb_checkpoints/07-Unique Characters in String-checkpoint.ipynb (88%)
 rename Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions/Anagram Check .ipynb => 02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions/01-Anagram Check .ipynb (62%)
 rename Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions/.ipynb_checkpoints/Array Pair Sum -checkpoint.ipynb => 02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions/02-Array Pair Sum .ipynb (88%)
 rename Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions/Find the Missing Element .ipynb => 02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions/03-Find the Missing Element .ipynb (88%)
 rename Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions/.ipynb_checkpoints/Largest Continuous Sum -checkpoint.ipynb => 02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions/04-Largest Continuous Sum .ipynb (86%)
 rename Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions/.ipynb_checkpoints/Sentence Reversal-checkpoint.ipynb => 02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions/05-Sentence Reversal.ipynb (89%)
 rename Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions/String Compression .ipynb => 02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions/06-String Compression .ipynb (71%)
 rename Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions/.ipynb_checkpoints/Unique Characters in String-checkpoint.ipynb => 02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions/07-Unique Characters in String.ipynb (88%)
 rename Stacks, Queues and Deques/.ipynb_checkpoints/Stacks, Queues, and Deques Overview-checkpoint.ipynb => 03-Stacks, Queues and Deques/.ipynb_checkpoints/01-Stacks, Queues, and Deques Overview-checkpoint.ipynb (90%)
 create mode 100644 03-Stacks, Queues and Deques/.ipynb_checkpoints/02-Stacks Overview-checkpoint.ipynb
 rename Stacks, Queues and Deques/.ipynb_checkpoints/Implementation of Stack-checkpoint.ipynb => 03-Stacks, Queues and Deques/.ipynb_checkpoints/03-Implementation of Stack-checkpoint.ipynb (84%)
 create mode 100644 03-Stacks, Queues and Deques/.ipynb_checkpoints/04-Queues Overview-checkpoint.ipynb
 rename Stacks, Queues and Deques/Implementation of Queue.ipynb => 03-Stacks, Queues and Deques/.ipynb_checkpoints/05-Implementation of Queue-checkpoint.ipynb (88%)
 create mode 100644 03-Stacks, Queues and Deques/.ipynb_checkpoints/06-Deques Overview-checkpoint.ipynb
 rename Stacks, Queues and Deques/.ipynb_checkpoints/Implementation of Deque-checkpoint.ipynb => 03-Stacks, Queues and Deques/.ipynb_checkpoints/07-Implementation of Deque-checkpoint.ipynb (80%)
 rename Stacks, Queues and Deques/Stacks, Queues, and Deques Overview.ipynb => 03-Stacks, Queues and Deques/01-Stacks, Queues, and Deques Overview.ipynb (90%)
 create mode 100644 03-Stacks, Queues and Deques/02-Stacks Overview.ipynb
 rename Stacks, Queues and Deques/Implementation of Stack.ipynb => 03-Stacks, Queues and Deques/03-Implementation of Stack.ipynb (84%)
 create mode 100644 03-Stacks, Queues and Deques/04-Queues Overview.ipynb
 rename Stacks, Queues and Deques/.ipynb_checkpoints/Implementation of Queue-checkpoint.ipynb => 03-Stacks, Queues and Deques/05-Implementation of Queue.ipynb (88%)
 create mode 100644 03-Stacks, Queues and Deques/06-Deques Overview.ipynb
 rename Stacks, Queues and Deques/Implementation of Deque.ipynb => 03-Stacks, Queues and Deques/07-Implementation of Deque.ipynb (80%)
 rename Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions  - PRACTICE/Implement a Stack .ipynb => 03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions  - PRACTICE/.ipynb_checkpoints/01-Implement a Stack -checkpoint.ipynb (88%)
 rename Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions  - PRACTICE/Implement a Queue.ipynb => 03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions  - PRACTICE/.ipynb_checkpoints/02-Implement a Queue-checkpoint.ipynb (96%)
 rename Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions  - PRACTICE/Implement a Deque .ipynb => 03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions  - PRACTICE/.ipynb_checkpoints/03-Implement a Deque -checkpoint.ipynb (93%)
 rename Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions  - PRACTICE/Balanced Parentheses Check .ipynb => 03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions  - PRACTICE/.ipynb_checkpoints/04-Balanced Parentheses Check -checkpoint.ipynb (97%)
 rename Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions  - PRACTICE/Implement a Queue -Using Two Stacks .ipynb => 03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions  - PRACTICE/.ipynb_checkpoints/05-Implement a Queue -Using Two Stacks -checkpoint.ipynb (94%)
 rename {Stacks, Queues and Deques => 03-Stacks, Queues and Deques}/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions  - PRACTICE/.ipynb_checkpoints/Balanced Parentheses Check -checkpoint.ipynb (100%)
 rename {Stacks, Queues and Deques => 03-Stacks, Queues and Deques}/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions  - PRACTICE/.ipynb_checkpoints/Implement a Deque -checkpoint.ipynb (100%)
 rename {Stacks, Queues and Deques => 03-Stacks, Queues and Deques}/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions  - PRACTICE/.ipynb_checkpoints/Implement a Queue -Using Two Stacks -checkpoint.ipynb (100%)
 rename {Stacks, Queues and Deques => 03-Stacks, Queues and Deques}/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions  - PRACTICE/.ipynb_checkpoints/Implement a Queue-checkpoint.ipynb (100%)
 rename {Stacks, Queues and Deques => 03-Stacks, Queues and Deques}/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions  - PRACTICE/.ipynb_checkpoints/Implement a Stack -checkpoint.ipynb (100%)
 create mode 100644 03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions  - PRACTICE/01-Implement a Stack .ipynb
 create mode 100644 03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions  - PRACTICE/02-Implement a Queue.ipynb
 create mode 100644 03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions  - PRACTICE/03-Implement a Deque .ipynb
 create mode 100644 03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions  - PRACTICE/04-Balanced Parentheses Check .ipynb
 create mode 100644 03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions  - PRACTICE/05-Implement a Queue -Using Two Stacks .ipynb
 rename Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions -SOLUTIONS/Implement a Stack - SOLUTION.ipynb => 03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions -SOLUTIONS/.ipynb_checkpoints/01-Implement a Stack - SOLUTION-checkpoint.ipynb (93%)
 rename Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions -SOLUTIONS/Implement a Queue - SOLUTION.ipynb => 03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions -SOLUTIONS/.ipynb_checkpoints/02-Implement a Queue - SOLUTION-checkpoint.ipynb (94%)
 rename Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions -SOLUTIONS/Implement a Deque - SOLUTION.ipynb => 03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions -SOLUTIONS/.ipynb_checkpoints/03-Implement a Deque - SOLUTION-checkpoint.ipynb (95%)
 rename Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions -SOLUTIONS/Balanced Parentheses Check - SOLUTION.ipynb => 03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions -SOLUTIONS/.ipynb_checkpoints/04-Balanced Parentheses Check - SOLUTION-checkpoint.ipynb (94%)
 rename Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions -SOLUTIONS/Implement a Queue -Using Two Stacks - SOLUTION.ipynb => 03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions -SOLUTIONS/.ipynb_checkpoints/05-Implement a Queue -Using Two Stacks - SOLUTION-checkpoint.ipynb (91%)
 rename {Stacks, Queues and Deques => 03-Stacks, Queues and Deques}/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions -SOLUTIONS/.ipynb_checkpoints/Balanced Parentheses Check - SOLUTION-checkpoint.ipynb (100%)
 rename {Stacks, Queues and Deques => 03-Stacks, Queues and Deques}/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions -SOLUTIONS/.ipynb_checkpoints/Implement a Deque - SOLUTION-checkpoint.ipynb (100%)
 rename {Stacks, Queues and Deques => 03-Stacks, Queues and Deques}/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions -SOLUTIONS/.ipynb_checkpoints/Implement a Queue - SOLUTION-checkpoint.ipynb (100%)
 rename {Stacks, Queues and Deques => 03-Stacks, Queues and Deques}/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions -SOLUTIONS/.ipynb_checkpoints/Implement a Queue -Using Two Stacks - SOLUTION-checkpoint.ipynb (100%)
 rename {Stacks, Queues and Deques => 03-Stacks, Queues and Deques}/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions -SOLUTIONS/.ipynb_checkpoints/Implement a Stack - SOLUTION-checkpoint.ipynb (100%)
 create mode 100644 03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions -SOLUTIONS/01-Implement a Stack - SOLUTION.ipynb
 create mode 100644 03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions -SOLUTIONS/02-Implement a Queue - SOLUTION.ipynb
 create mode 100644 03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions -SOLUTIONS/03-Implement a Deque - SOLUTION.ipynb
 create mode 100644 03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions -SOLUTIONS/04-Balanced Parentheses Check - SOLUTION.ipynb
 create mode 100644 03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions -SOLUTIONS/05-Implement a Queue -Using Two Stacks - SOLUTION.ipynb
 rename Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions /Implement a Stack .ipynb => 03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions /.ipynb_checkpoints/01-Implement a Stack -checkpoint.ipynb (87%)
 rename Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions /Implement a Queue.ipynb => 03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions /.ipynb_checkpoints/02-Implement a Queue-checkpoint.ipynb (85%)
 rename Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions /.ipynb_checkpoints/Implement a Deque -checkpoint.ipynb => 03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions /.ipynb_checkpoints/03-Implement a Deque -checkpoint.ipynb (84%)
 rename Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions /.ipynb_checkpoints/Balanced Parentheses Check -checkpoint.ipynb => 03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions /.ipynb_checkpoints/04-Balanced Parentheses Check -checkpoint.ipynb (89%)
 rename Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions /.ipynb_checkpoints/Implement a Queue -Using Two Stacks -checkpoint.ipynb => 03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions /.ipynb_checkpoints/05-Implement a Queue -Using Two Stacks -checkpoint.ipynb (76%)
 rename {Stacks, Queues and Deques => 03-Stacks, Queues and Deques}/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions /.ipynb_checkpoints/Implement a Stack -checkpoint.ipynb (100%)
 create mode 100644 03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions /01-Implement a Stack .ipynb
 rename Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions /.ipynb_checkpoints/Implement a Queue-checkpoint.ipynb => 03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions /02-Implement a Queue.ipynb (85%)
 rename Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions /Implement a Deque .ipynb => 03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions /03-Implement a Deque .ipynb (84%)
 rename Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions /Balanced Parentheses Check .ipynb => 03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions /04-Balanced Parentheses Check .ipynb (89%)
 rename Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions /Implement a Queue -Using Two Stacks .ipynb => 03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions /05-Implement a Queue -Using Two Stacks .ipynb (76%)
 rename Linked Lists/Linked List Overview.ipynb => 04-Linked Lists/.ipynb_checkpoints/01-Linked List Overview-checkpoint.ipynb (84%)
 rename Linked Lists/Singly Linked Lists.ipynb => 04-Linked Lists/.ipynb_checkpoints/02-Singly Linked Lists-checkpoint.ipynb (78%)
 rename Linked Lists/.ipynb_checkpoints/Singly Linked List Implementation-checkpoint.ipynb => 04-Linked Lists/.ipynb_checkpoints/03-Singly Linked List Implementation-checkpoint.ipynb (84%)
 rename Linked Lists/Doubly Linked Lists.ipynb => 04-Linked Lists/.ipynb_checkpoints/04-Doubly Linked Lists-checkpoint.ipynb (77%)
 rename Linked Lists/Doubly Linked List Implementation.ipynb => 04-Linked Lists/.ipynb_checkpoints/05-Doubly Linked List Implementation-checkpoint.ipynb (84%)
 rename Linked Lists/.ipynb_checkpoints/Linked List Overview-checkpoint.ipynb => 04-Linked Lists/01-Linked List Overview.ipynb (84%)
 rename Linked Lists/.ipynb_checkpoints/Singly Linked Lists-checkpoint.ipynb => 04-Linked Lists/02-Singly Linked Lists.ipynb (78%)
 rename Linked Lists/Singly Linked List Implementation.ipynb => 04-Linked Lists/03-Singly Linked List Implementation.ipynb (84%)
 rename Linked Lists/.ipynb_checkpoints/Doubly Linked Lists-checkpoint.ipynb => 04-Linked Lists/04-Doubly Linked Lists.ipynb (77%)
 rename Linked Lists/.ipynb_checkpoints/Doubly Linked List Implementation-checkpoint.ipynb => 04-Linked Lists/05-Doubly Linked List Implementation.ipynb (84%)
 rename Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems  - PRACTICE/Singly Linked List Cycle Check.ipynb => 04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems  - PRACTICE/.ipynb_checkpoints/01-Singly Linked List Cycle Check-checkpoint.ipynb (97%)
 rename Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems  - PRACTICE/Linked List Reversal .ipynb => 04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems  - PRACTICE/.ipynb_checkpoints/02-Linked List Reversal -checkpoint.ipynb (64%)
 rename Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems  - PRACTICE/Linked List Nth to Last Node .ipynb => 04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems  - PRACTICE/.ipynb_checkpoints/03-Linked List Nth to Last Node -checkpoint.ipynb (87%)
 rename Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems  - PRACTICE/Implement a Doubly Linked List.ipynb => 04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems  - PRACTICE/.ipynb_checkpoints/04-Implement a Doubly Linked List-checkpoint.ipynb (98%)
 rename Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems  - PRACTICE/Implement a Singly Linked List.ipynb => 04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems  - PRACTICE/.ipynb_checkpoints/04-Implement a Singly Linked List-checkpoint.ipynb (98%)
 rename {Linked Lists => 04-Linked Lists}/Linked Lists Interview Problems/Linked List Interview Problems  - PRACTICE/.ipynb_checkpoints/Implement a Doubly Linked List-checkpoint.ipynb (100%)
 rename {Linked Lists => 04-Linked Lists}/Linked Lists Interview Problems/Linked List Interview Problems  - PRACTICE/.ipynb_checkpoints/Implement a Singly Linked List-checkpoint.ipynb (100%)
 rename {Linked Lists => 04-Linked Lists}/Linked Lists Interview Problems/Linked List Interview Problems  - PRACTICE/.ipynb_checkpoints/Linked List Nth to Last Node -checkpoint.ipynb (100%)
 rename {Linked Lists => 04-Linked Lists}/Linked Lists Interview Problems/Linked List Interview Problems  - PRACTICE/.ipynb_checkpoints/Linked List Reversal -checkpoint.ipynb (100%)
 rename {Linked Lists => 04-Linked Lists}/Linked Lists Interview Problems/Linked List Interview Problems  - PRACTICE/.ipynb_checkpoints/Singly Linked List Cycle Check-checkpoint.ipynb (100%)
 rename Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems /.ipynb_checkpoints/Singly Linked List Cycle Check-checkpoint.ipynb => 04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems  - PRACTICE/01-Singly Linked List Cycle Check.ipynb (80%)
 create mode 100644 04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems  - PRACTICE/02-Linked List Reversal .ipynb
 create mode 100644 04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems  - PRACTICE/03-Linked List Nth to Last Node .ipynb
 create mode 100644 04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems  - PRACTICE/04-Implement a Doubly Linked List.ipynb
 create mode 100644 04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems  - PRACTICE/04-Implement a Singly Linked List.ipynb
 rename Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems - SOLUTIONS/Singly Linked List Cycle Check - SOLUTION.ipynb => 04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems - SOLUTIONS/.ipynb_checkpoints/01-Singly Linked List Cycle Check - SOLUTION-checkpoint.ipynb (91%)
 rename Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems - SOLUTIONS/Linked List Reversal - SOLUTION.ipynb => 04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems - SOLUTIONS/.ipynb_checkpoints/02-Linked List Reversal - SOLUTION-checkpoint.ipynb (76%)
 rename Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems - SOLUTIONS/Linked List Nth to Last Node - SOLUTION.ipynb => 04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems - SOLUTIONS/.ipynb_checkpoints/03-Linked List Nth to Last Node - SOLUTION-checkpoint.ipynb (66%)
 rename Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems - SOLUTIONS/Implement a Linked List -SOLUTION.ipynb => 04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems - SOLUTIONS/.ipynb_checkpoints/04-Implement a Linked List -SOLUTION-checkpoint.ipynb (85%)
 rename {Linked Lists => 04-Linked Lists}/Linked Lists Interview Problems/Linked List Interview Problems - SOLUTIONS/.ipynb_checkpoints/Implement a Linked List -SOLUTION-checkpoint.ipynb (100%)
 rename {Linked Lists => 04-Linked Lists}/Linked Lists Interview Problems/Linked List Interview Problems - SOLUTIONS/.ipynb_checkpoints/Linked List Nth to Last Node - SOLUTION-checkpoint.ipynb (100%)
 rename {Linked Lists => 04-Linked Lists}/Linked Lists Interview Problems/Linked List Interview Problems - SOLUTIONS/.ipynb_checkpoints/Linked List Reversal - SOLUTION-checkpoint.ipynb (100%)
 rename {Linked Lists => 04-Linked Lists}/Linked Lists Interview Problems/Linked List Interview Problems - SOLUTIONS/.ipynb_checkpoints/Singly Linked List Cycle Check - SOLUTION-checkpoint.ipynb (100%)
 rename Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems /Singly Linked List Cycle Check.ipynb => 04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems - SOLUTIONS/01-Singly Linked List Cycle Check - SOLUTION.ipynb (58%)
 rename Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems /.ipynb_checkpoints/Linked List Reversal -checkpoint.ipynb => 04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems - SOLUTIONS/02-Linked List Reversal - SOLUTION.ipynb (56%)
 create mode 100644 04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems - SOLUTIONS/03-Linked List Nth to Last Node - SOLUTION.ipynb
 create mode 100644 04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems - SOLUTIONS/04-Implement a Linked List -SOLUTION.ipynb
 create mode 100644 04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems /.ipynb_checkpoints/01-Singly Linked List Cycle Check-checkpoint.ipynb
 create mode 100644 04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems /.ipynb_checkpoints/02-Linked List Reversal -checkpoint.ipynb
 rename Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems /.ipynb_checkpoints/Linked List Nth to Last Node -checkpoint.ipynb => 04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems /.ipynb_checkpoints/03-Linked List Nth to Last Node -checkpoint.ipynb (75%)
 rename Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems /Implement a Doubly Linked List.ipynb => 04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems /.ipynb_checkpoints/04-Implement a Doubly Linked List-checkpoint.ipynb (89%)
 rename Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems /.ipynb_checkpoints/Implement a Singly Linked List-checkpoint.ipynb => 04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems /.ipynb_checkpoints/04-Implement a Singly Linked List-checkpoint.ipynb (89%)
 create mode 100644 04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems /01-Singly Linked List Cycle Check.ipynb
 create mode 100644 04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems /02-Linked List Reversal .ipynb
 rename Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems /Linked List Nth to Last Node .ipynb => 04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems /03-Linked List Nth to Last Node .ipynb (75%)
 rename Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems /.ipynb_checkpoints/Implement a Doubly Linked List-checkpoint.ipynb => 04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems /04-Implement a Doubly Linked List.ipynb (89%)
 rename Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems /Implement a Singly Linked List.ipynb => 04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems /04-Implement a Singly Linked List.ipynb (89%)
 rename Recursion/Introduction to Recursion.ipynb => 05-Recursion/.ipynb_checkpoints/01-Introduction to Recursion-checkpoint.ipynb (93%)
 rename Recursion/Recursion Homework Example Problems.ipynb => 05-Recursion/.ipynb_checkpoints/02-Recursion Homework Example Problems-checkpoint.ipynb (63%)
 rename Recursion/Recursion Homework Example Problems - SOLUTIONS.ipynb => 05-Recursion/.ipynb_checkpoints/03-Recursion Homework Example Problems - SOLUTIONS-checkpoint.ipynb (65%)
 rename Recursion/.ipynb_checkpoints/Recursion Homework Example Problems - PRACTICE-checkpoint.ipynb => 05-Recursion/.ipynb_checkpoints/04-Recursion Homework Example Problems - PRACTICE-checkpoint.ipynb (95%)
 rename Recursion/Memoization.ipynb => 05-Recursion/.ipynb_checkpoints/05-Memoization-checkpoint.ipynb (95%)
 rename Recursion/.ipynb_checkpoints/Introduction to Recursion-checkpoint.ipynb => 05-Recursion/01-Introduction to Recursion.ipynb (93%)
 rename Recursion/.ipynb_checkpoints/Recursion Homework Example Problems-checkpoint.ipynb => 05-Recursion/02-Recursion Homework Example Problems.ipynb (63%)
 rename Recursion/.ipynb_checkpoints/Recursion Homework Example Problems - SOLUTIONS-checkpoint.ipynb => 05-Recursion/03-Recursion Homework Example Problems - SOLUTIONS.ipynb (65%)
 rename Recursion/Recursion Homework Example Problems - PRACTICE.ipynb => 05-Recursion/04-Recursion Homework Example Problems - PRACTICE.ipynb (95%)
 rename Recursion/.ipynb_checkpoints/Memoization-checkpoint.ipynb => 05-Recursion/05-Memoization.ipynb (91%)
 rename Recursion/Recursion Interview Problems/Recursion Problems -  SOLUTIONS/Recursion Problem 1 - Reverse String - SOLUTION.ipynb => 05-Recursion/Recursion Interview Problems/Recursion Problems -  SOLUTIONS/.ipynb_checkpoints/01-Reverse String - SOLUTION-checkpoint.ipynb (95%)
 rename Recursion/Recursion Interview Problems/Recursion Problems -  SOLUTIONS/Recursion Problem 2 - String Permutation- SOLUTION.ipynb => 05-Recursion/Recursion Interview Problems/Recursion Problems -  SOLUTIONS/.ipynb_checkpoints/02-String Permutation- SOLUTION-checkpoint.ipynb (95%)
 rename Recursion/Recursion Interview Problems/Recursion Problems -  SOLUTIONS/Recursion Problem 3 - Fibonacci Sequence - SOLUTION.ipynb => 05-Recursion/Recursion Interview Problems/Recursion Problems -  SOLUTIONS/.ipynb_checkpoints/03-Fibonacci Sequence - SOLUTION-checkpoint.ipynb (94%)
 rename Recursion/Recursion Interview Problems/Recursion Problems -  SOLUTIONS/Recursion Problem 4 - Coin Change - SOLUTION.ipynb => 05-Recursion/Recursion Interview Problems/Recursion Problems -  SOLUTIONS/.ipynb_checkpoints/04-Coin Change - SOLUTION-checkpoint.ipynb (90%)
 rename Recursion/Recursion Interview Problems/Recursion Problems -  SOLUTIONS/.ipynb_checkpoints/Recursion Problem 1 - Reverse String - SOLUTION-checkpoint.ipynb => 05-Recursion/Recursion Interview Problems/Recursion Problems -  SOLUTIONS/01-Reverse String - SOLUTION.ipynb (87%)
 rename Recursion/Recursion Interview Problems/Recursion Problems -  SOLUTIONS/.ipynb_checkpoints/Recursion Problem 2 - String Permutation- SOLUTION-checkpoint.ipynb => 05-Recursion/Recursion Interview Problems/Recursion Problems -  SOLUTIONS/02-String Permutation- SOLUTION.ipynb (92%)
 rename Recursion/Recursion Interview Problems/Recursion Problems -  SOLUTIONS/.ipynb_checkpoints/Recursion Problem 3 - Fibonacci Sequence - SOLUTION-checkpoint.ipynb => 05-Recursion/Recursion Interview Problems/Recursion Problems -  SOLUTIONS/03-Fibonacci Sequence - SOLUTION.ipynb (88%)
 rename Recursion/Recursion Interview Problems/Recursion Problems -  SOLUTIONS/.ipynb_checkpoints/Recursion Problem 4 - Coin Change - SOLUTION-checkpoint.ipynb => 05-Recursion/Recursion Interview Problems/Recursion Problems -  SOLUTIONS/04-Coin Change - SOLUTION.ipynb (86%)
 rename Recursion/Recursion Interview Problems/Recursion Problems - PRACTICE/.ipynb_checkpoints/Recursion Problem 1 - Reverse String -checkpoint.ipynb => 05-Recursion/Recursion Interview Problems/Recursion Problems - PRACTICE/.ipynb_checkpoints/01-Reverse String -checkpoint.ipynb (95%)
 rename Recursion/Recursion Interview Problems/Recursion Problems - PRACTICE/Recursion Problem 2 - String Permutation.ipynb => 05-Recursion/Recursion Interview Problems/Recursion Problems - PRACTICE/.ipynb_checkpoints/02-String Permutation-checkpoint.ipynb (95%)
 rename Recursion/Recursion Interview Problems/Recursion Problems - PRACTICE/Recursion Problem 3 - Fibonacci Sequence.ipynb => 05-Recursion/Recursion Interview Problems/Recursion Problems - PRACTICE/.ipynb_checkpoints/03-Fibonacci Sequence-checkpoint.ipynb (95%)
 rename Recursion/Recursion Interview Problems/Recursion Problems - PRACTICE/Recursion Problem 4 - Coin Change.ipynb => 05-Recursion/Recursion Interview Problems/Recursion Problems - PRACTICE/.ipynb_checkpoints/04-Coin Change-checkpoint.ipynb (89%)
 rename {Recursion => 05-Recursion}/Recursion Interview Problems/Recursion Problems - PRACTICE/.ipynb_checkpoints/Recursion Problem 2 - String Permutations-checkpoint.ipynb (100%)
 rename Recursion/Recursion Interview Problems/Recursion Problems - PRACTICE/Recursion Problem 1 - Reverse String .ipynb => 05-Recursion/Recursion Interview Problems/Recursion Problems - PRACTICE/01-Reverse String .ipynb (95%)
 rename Recursion/Recursion Interview Problems/Recursion Problems/Recursion Problem 2 - String Permutation.ipynb => 05-Recursion/Recursion Interview Problems/Recursion Problems - PRACTICE/02-String Permutation.ipynb (79%)
 rename Recursion/Recursion Interview Problems/Recursion Problems - PRACTICE/.ipynb_checkpoints/Recursion Problem 3 - Fibonacci Sequence-checkpoint.ipynb => 05-Recursion/Recursion Interview Problems/Recursion Problems - PRACTICE/03-Fibonacci Sequence.ipynb (91%)
 rename Recursion/Recursion Interview Problems/Recursion Problems/.ipynb_checkpoints/Recursion Problem 4 - Coin Change-checkpoint.ipynb => 05-Recursion/Recursion Interview Problems/Recursion Problems - PRACTICE/04-Coin Change.ipynb (78%)
 rename Recursion/Recursion Interview Problems/Recursion Problems/Recursion Problem 1 - Reverse String .ipynb => 05-Recursion/Recursion Interview Problems/Recursion Problems/.ipynb_checkpoints/01-Reverse String -checkpoint.ipynb (88%)
 rename Recursion/Recursion Interview Problems/Recursion Problems - PRACTICE/.ipynb_checkpoints/Recursion Problem 2 - String Permutation-checkpoint.ipynb => 05-Recursion/Recursion Interview Problems/Recursion Problems/.ipynb_checkpoints/02-String Permutation-checkpoint.ipynb (89%)
 rename Recursion/Recursion Interview Problems/Recursion Problems/.ipynb_checkpoints/Recursion Problem 3 - Fibonacci Sequence-checkpoint.ipynb => 05-Recursion/Recursion Interview Problems/Recursion Problems/.ipynb_checkpoints/03-Fibonacci Sequence-checkpoint.ipynb (91%)
 rename Recursion/Recursion Interview Problems/Recursion Problems/Recursion Problem 4 - Coin Change.ipynb => 05-Recursion/Recursion Interview Problems/Recursion Problems/.ipynb_checkpoints/04-Coin Change-checkpoint.ipynb (92%)
 rename {Recursion => 05-Recursion}/Recursion Interview Problems/Recursion Problems/.ipynb_checkpoints/Recursion Problem 2 - String Permutations-checkpoint.ipynb (100%)
 rename Recursion/Recursion Interview Problems/Recursion Problems/.ipynb_checkpoints/Recursion Problem 1 - Reverse String -checkpoint.ipynb => 05-Recursion/Recursion Interview Problems/Recursion Problems/01-Reverse String .ipynb (88%)
 rename Recursion/Recursion Interview Problems/Recursion Problems/.ipynb_checkpoints/Recursion Problem 2 - String Permutation-checkpoint.ipynb => 05-Recursion/Recursion Interview Problems/Recursion Problems/02-String Permutation.ipynb (89%)
 rename Recursion/Recursion Interview Problems/Recursion Problems/Recursion Problem 3 - Fibonacci Sequence.ipynb => 05-Recursion/Recursion Interview Problems/Recursion Problems/03-Fibonacci Sequence.ipynb (91%)
 rename Recursion/Recursion Interview Problems/Recursion Problems - PRACTICE/.ipynb_checkpoints/Recursion Problem 4 - Coin Change-checkpoint.ipynb => 05-Recursion/Recursion Interview Problems/Recursion Problems/04-Coin Change.ipynb (92%)
 rename Trees/Tree Representation Implementation (Lists).ipynb => 06-Trees/.ipynb_checkpoints/01-Tree Representation Implementation (Lists)-checkpoint.ipynb (87%)
 rename Trees/.ipynb_checkpoints/Tree Representation Implementation (Nodes and References)-checkpoint.ipynb => 06-Trees/.ipynb_checkpoints/02-Tree Representation Implementation (Nodes and References)-checkpoint.ipynb (85%)
 rename Trees/Binary Heap Implementation.ipynb => 06-Trees/.ipynb_checkpoints/03-Binary Heap Implementation-checkpoint.ipynb (91%)
 rename Trees/.ipynb_checkpoints/Binary Search Trees-checkpoint.ipynb => 06-Trees/.ipynb_checkpoints/04-Binary Search Trees-checkpoint.ipynb (97%)
 rename Trees/.ipynb_checkpoints/Tree Representation Implementation (Lists)-checkpoint.ipynb => 06-Trees/01-Tree Representation Implementation (Lists).ipynb (87%)
 rename Trees/Tree Representation Implementation (Nodes and References).ipynb => 06-Trees/02-Tree Representation Implementation (Nodes and References).ipynb (85%)
 rename Trees/.ipynb_checkpoints/Binary Heap Implementation-checkpoint.ipynb => 06-Trees/03-Binary Heap Implementation.ipynb (91%)
 rename Trees/Binary Search Trees.ipynb => 06-Trees/04-Binary Search Trees.ipynb (97%)
 rename Trees/Trees Interview Problems - PRACTICE/Binary Search Tree Check.ipynb => 06-Trees/Trees Interview Problems - PRACTICE/.ipynb_checkpoints/01-Binary Search Tree Check-checkpoint.ipynb (96%)
 rename Trees/Trees Interview Problems - PRACTICE/Tree Level Order Print.ipynb => 06-Trees/Trees Interview Problems - PRACTICE/.ipynb_checkpoints/02-Tree Level Order Print-checkpoint.ipynb (97%)
 rename Trees/Trees Interview Problems - PRACTICE/.ipynb_checkpoints/Trim a Binary Search Tree -checkpoint.ipynb => 06-Trees/Trees Interview Problems - PRACTICE/.ipynb_checkpoints/03-Trim a Binary Search Tree -checkpoint.ipynb (99%)
 rename Trees/Trees Interview Problems - PRACTICE/.ipynb_checkpoints/Binary Search Tree Check-checkpoint.ipynb => 06-Trees/Trees Interview Problems - PRACTICE/01-Binary Search Tree Check.ipynb (96%)
 rename Trees/Trees Interview Problems - PRACTICE/.ipynb_checkpoints/Tree Level Order Print-checkpoint.ipynb => 06-Trees/Trees Interview Problems - PRACTICE/02-Tree Level Order Print.ipynb (97%)
 rename Trees/Trees Interview Problems - PRACTICE/Trim a Binary Search Tree .ipynb => 06-Trees/Trees Interview Problems - PRACTICE/03-Trim a Binary Search Tree .ipynb (99%)
 rename {Trees => 06-Trees}/Trees Interview Problems - PRACTICE/Node.py (100%)
 rename {Trees => 06-Trees}/Trees Interview Problems - PRACTICE/bst1.png (100%)
 rename {Trees => 06-Trees}/Trees Interview Problems - PRACTICE/bst_trim.png (100%)
 rename {Trees => 06-Trees}/Trees Interview Problems - PRACTICE/tree_print.png (100%)
 rename Trees/Trees Interview Problems - SOLUTIONS/.ipynb_checkpoints/Binary Search Tree Check - SOLUTION-checkpoint.ipynb => 06-Trees/Trees Interview Problems - SOLUTIONS/.ipynb_checkpoints/01-Binary Search Tree Check - SOLUTION-checkpoint.ipynb (74%)
 rename Trees/Trees Interview Problems - SOLUTIONS/Tree Level Order Print - SOLUTION.ipynb => 06-Trees/Trees Interview Problems - SOLUTIONS/.ipynb_checkpoints/02-Tree Level Order Print - SOLUTION-checkpoint.ipynb (94%)
 rename Trees/Trees Interview Problems - SOLUTIONS/Trim a Binary Search Tree - SOLUTION.ipynb => 06-Trees/Trees Interview Problems - SOLUTIONS/.ipynb_checkpoints/03Trim a Binary Search Tree - SOLUTION-checkpoint.ipynb (97%)
 rename Trees/Trees Interview Problems - SOLUTIONS/Binary Search Tree Check - SOLUTION.ipynb => 06-Trees/Trees Interview Problems - SOLUTIONS/01-Binary Search Tree Check - SOLUTION.ipynb (74%)
 rename Trees/Trees Interview Problems - SOLUTIONS/.ipynb_checkpoints/Tree Level Order Print - SOLUTION-checkpoint.ipynb => 06-Trees/Trees Interview Problems - SOLUTIONS/02-Tree Level Order Print - SOLUTION.ipynb (91%)
 rename Trees/Trees Interview Problems - SOLUTIONS/.ipynb_checkpoints/Trim a Binary Search Tree - SOLUTION-checkpoint.ipynb => 06-Trees/Trees Interview Problems - SOLUTIONS/03Trim a Binary Search Tree - SOLUTION.ipynb (95%)
 rename {Trees => 06-Trees}/Trees Interview Problems - SOLUTIONS/bst1.png (100%)
 rename {Trees => 06-Trees}/Trees Interview Problems - SOLUTIONS/bst_trim.png (100%)
 rename {Trees => 06-Trees}/Trees Interview Problems - SOLUTIONS/tree_print.png (100%)
 rename Trees/Trees Interview Problems/Binary Search Tree Check.ipynb => 06-Trees/Trees Interview Problems/.ipynb_checkpoints/01-Binary Search Tree Check-checkpoint.ipynb (84%)
 rename Trees/Trees Interview Problems/Tree Level Order Print.ipynb => 06-Trees/Trees Interview Problems/.ipynb_checkpoints/02-Tree Level Order Print-checkpoint.ipynb (90%)
 rename Trees/Trees Interview Problems/.ipynb_checkpoints/Trim a Binary Search Tree -checkpoint.ipynb => 06-Trees/Trees Interview Problems/.ipynb_checkpoints/03-Trim a Binary Search Tree -checkpoint.ipynb (87%)
 rename Trees/Trees Interview Problems/.ipynb_checkpoints/Binary Search Tree Check-checkpoint.ipynb => 06-Trees/Trees Interview Problems/01-Binary Search Tree Check.ipynb (84%)
 rename Trees/Trees Interview Problems/.ipynb_checkpoints/Tree Level Order Print-checkpoint.ipynb => 06-Trees/Trees Interview Problems/02-Tree Level Order Print.ipynb (90%)
 rename Trees/Trees Interview Problems/Trim a Binary Search Tree .ipynb => 06-Trees/Trees Interview Problems/03-Trim a Binary Search Tree .ipynb (87%)
 rename {Trees => 06-Trees}/Trees Interview Problems/bst1.png (100%)
 rename {Trees => 06-Trees}/Trees Interview Problems/bst_trim.png (100%)
 rename {Trees => 06-Trees}/Trees Interview Problems/tree_print.png (100%)
 rename Sorting and Searching/.ipynb_checkpoints/Sequential Search-checkpoint.ipynb => 07-Searching and Sorting/.ipynb_checkpoints/01-Sequential Search-checkpoint.ipynb (84%)
 rename Sorting and Searching/.ipynb_checkpoints/Implementation of Binary Search-checkpoint.ipynb => 07-Searching and Sorting/.ipynb_checkpoints/02-Implementation of Binary Search-checkpoint.ipynb (80%)
 rename Sorting and Searching/Implementation of a Hash Table.ipynb => 07-Searching and Sorting/.ipynb_checkpoints/03-Implementation of a Hash Table-checkpoint.ipynb (95%)
 rename Sorting and Searching/Implementation of Bubble Sort.ipynb => 07-Searching and Sorting/.ipynb_checkpoints/04-Implementation of Bubble Sort-checkpoint.ipynb (94%)
 rename Sorting and Searching/Implementation of Selection Sort.ipynb => 07-Searching and Sorting/.ipynb_checkpoints/05-Implementation of Selection Sort-checkpoint.ipynb (91%)
 rename Sorting and Searching/Implementation of Insertion Sort.ipynb => 07-Searching and Sorting/.ipynb_checkpoints/06-Implementation of Insertion Sort-checkpoint.ipynb (95%)
 rename Sorting and Searching/Implementation of Shell Sort.ipynb => 07-Searching and Sorting/.ipynb_checkpoints/07-Implementation of Shell Sort-checkpoint.ipynb (88%)
 rename Sorting and Searching/Implementation of Merge Sort.ipynb => 07-Searching and Sorting/.ipynb_checkpoints/08-Implementation of Merge Sort-checkpoint.ipynb (96%)
 rename Sorting and Searching/Implementation of Quick Sort.ipynb => 07-Searching and Sorting/.ipynb_checkpoints/09-Implementation of Quick Sort-checkpoint.ipynb (95%)
 rename Sorting and Searching/Sequential Search.ipynb => 07-Searching and Sorting/01-Sequential Search.ipynb (84%)
 rename Sorting and Searching/Implementation of Binary Search.ipynb => 07-Searching and Sorting/02-Implementation of Binary Search.ipynb (80%)
 rename Sorting and Searching/.ipynb_checkpoints/Implementation of a Hash Table-checkpoint.ipynb => 07-Searching and Sorting/03-Implementation of a Hash Table.ipynb (91%)
 rename Sorting and Searching/.ipynb_checkpoints/Implementation of Bubble Sort-checkpoint.ipynb => 07-Searching and Sorting/04-Implementation of Bubble Sort.ipynb (85%)
 rename Sorting and Searching/.ipynb_checkpoints/Implementation of Selection Sort-checkpoint.ipynb => 07-Searching and Sorting/05-Implementation of Selection Sort.ipynb (91%)
 rename Sorting and Searching/.ipynb_checkpoints/Implementation of Insertion Sort-checkpoint.ipynb => 07-Searching and Sorting/06-Implementation of Insertion Sort.ipynb (88%)
 rename Sorting and Searching/.ipynb_checkpoints/Implementation of Shell Sort-checkpoint.ipynb => 07-Searching and Sorting/07-Implementation of Shell Sort.ipynb (88%)
 rename Sorting and Searching/.ipynb_checkpoints/Implementation of Merge Sort-checkpoint.ipynb => 07-Searching and Sorting/08-Implementation of Merge Sort.ipynb (91%)
 rename Sorting and Searching/.ipynb_checkpoints/Implementation of Quick Sort-checkpoint.ipynb => 07-Searching and Sorting/09-Implementation of Quick Sort.ipynb (90%)
 rename Graphs/Implementation of Graph Overview.ipynb => 08-Graphs/.ipynb_checkpoints/01-Implementation of Graph Overview-checkpoint.ipynb (87%)
 rename Graphs/Implementation of Adjacency List.ipynb => 08-Graphs/.ipynb_checkpoints/02-Implementation of Adjacency List-checkpoint.ipynb (87%)
 rename Graphs/.ipynb_checkpoints/Word Ladder Example Problem-checkpoint.ipynb => 08-Graphs/.ipynb_checkpoints/03-Word Ladder Example Problem-checkpoint.ipynb (90%)
 rename Graphs/.ipynb_checkpoints/Knight's Tour Example Problem-checkpoint.ipynb => 08-Graphs/.ipynb_checkpoints/04-Knight's Tour Example Problem-checkpoint.ipynb (90%)
 rename Graphs/Implementation of Depth First Search.ipynb => 08-Graphs/.ipynb_checkpoints/05-Implementation of Depth First Search-checkpoint.ipynb (95%)
 rename Graphs/Implementation of Breadth First Search.ipynb => 08-Graphs/.ipynb_checkpoints/06-Implementation of Breadth First Search-checkpoint.ipynb (98%)
 rename Graphs/.ipynb_checkpoints/Implementation of Graph Overview-checkpoint.ipynb => 08-Graphs/01-Implementation of Graph Overview.ipynb (82%)
 rename Graphs/.ipynb_checkpoints/Implementation of Adjacency List-checkpoint.ipynb => 08-Graphs/02-Implementation of Adjacency List.ipynb (83%)
 rename Graphs/Word Ladder Example Problem.ipynb => 08-Graphs/03-Word Ladder Example Problem.ipynb (90%)
 rename Graphs/Knight's Tour Example Problem.ipynb => 08-Graphs/04-Knight's Tour Example Problem.ipynb (90%)
 rename Graphs/.ipynb_checkpoints/Implementation of Depth First Search-checkpoint.ipynb => 08-Graphs/05-Implementation of Depth First Search.ipynb (90%)
 rename Graphs/.ipynb_checkpoints/Implementation of Breadth First Search-checkpoint.ipynb => 08-Graphs/06-Implementation of Breadth First Search.ipynb (93%)
 rename Graphs/Graph Interview Questions - PRACTICE/Implement a Graph.ipynb => 08-Graphs/Graph Interview Questions - PRACTICE/.ipynb_checkpoints/01-Implement a Graph-checkpoint.ipynb (98%)
 rename Graphs/Graph Interview Questions - PRACTICE/Implement Depth First Search Algorithm.ipynb => 08-Graphs/Graph Interview Questions - PRACTICE/.ipynb_checkpoints/02-Implement Depth First Search Algorithm-checkpoint.ipynb (82%)
 rename Graphs/Graph Interview Questions/.ipynb_checkpoints/Implement Breadth First Search Algorithm-checkpoint.ipynb => 08-Graphs/Graph Interview Questions - PRACTICE/.ipynb_checkpoints/03-Implement Breadth First Search Algorithm-checkpoint.ipynb (94%)
 create mode 100644 08-Graphs/Graph Interview Questions - PRACTICE/01-Implement a Graph.ipynb
 create mode 100644 08-Graphs/Graph Interview Questions - PRACTICE/02-Implement Depth First Search Algorithm.ipynb
 rename Graphs/Graph Interview Questions - PRACTICE/Implement Breadth First Search Algorithm.ipynb => 08-Graphs/Graph Interview Questions - PRACTICE/03-Implement Breadth First Search Algorithm.ipynb (94%)
 rename Graphs/Graph Interview Questions/Implement a Graph.ipynb => 08-Graphs/Graph Interview Questions/.ipynb_checkpoints/01-Implement a Graph-checkpoint.ipynb (83%)
 rename Graphs/Graph Interview Questions/.ipynb_checkpoints/Implement Depth First Search Algorithm-checkpoint.ipynb => 08-Graphs/Graph Interview Questions/.ipynb_checkpoints/02-Implement Depth First Search Algorithm-checkpoint.ipynb (88%)
 rename Graphs/Graph Interview Questions/Implement Breadth First Search Algorithm.ipynb => 08-Graphs/Graph Interview Questions/.ipynb_checkpoints/03-Implement Breadth First Search Algorithm-checkpoint.ipynb (98%)
 rename Graphs/Graph Interview Questions - PRACTICE/.ipynb_checkpoints/Implement a Graph-checkpoint.ipynb => 08-Graphs/Graph Interview Questions/01-Implement a Graph.ipynb (83%)
 rename Graphs/Graph Interview Questions - PRACTICE/.ipynb_checkpoints/Implement Depth First Search Algorithm-checkpoint.ipynb => 08-Graphs/Graph Interview Questions/02-Implement Depth First Search Algorithm.ipynb (88%)
 rename Graphs/Graph Interview Questions - PRACTICE/.ipynb_checkpoints/Implement Breadth First Search Algorithm-checkpoint.ipynb => 08-Graphs/Graph Interview Questions/03-Implement Breadth First Search Algorithm.ipynb (88%)
 rename {Graphs => 08-Graphs}/words.txt (100%)
 rename Riddles/.ipynb_checkpoints/How to Approach Riddles-checkpoint.ipynb => 09-Riddles/.ipynb_checkpoints/01-How to Approach Riddles-checkpoint.ipynb (77%)
 rename Riddles/How to Approach Riddles.ipynb => 09-Riddles/01-How to Approach Riddles.ipynb (77%)
 rename Riddles/Riddle Interview Problems/Riddle Interview Problems - SOLUTIONS/Bridge Crossing - SOLUTION.ipynb => 09-Riddles/Riddle Interview Problems/Riddle Interview Problems - SOLUTIONS/.ipynb_checkpoints/01-Bridge Crossing - SOLUTION-checkpoint.ipynb (98%)
 rename Riddles/Riddle Interview Problems/Riddle Interview Problems - SOLUTIONS/.ipynb_checkpoints/Coins and a Scale - SOLUTION-checkpoint.ipynb => 09-Riddles/Riddle Interview Problems/Riddle Interview Problems - SOLUTIONS/.ipynb_checkpoints/02-Coins and a Scale - SOLUTION-checkpoint.ipynb (91%)
 rename Riddles/Riddle Interview Problems/Riddle Interview Problems - SOLUTIONS/Egg Drop - SOLUTION.ipynb => 09-Riddles/Riddle Interview Problems/Riddle Interview Problems - SOLUTIONS/.ipynb_checkpoints/03-Egg Drop - SOLUTION-checkpoint.ipynb (99%)
 rename Riddles/Riddle Interview Problems/Riddle Interview Problems - SOLUTIONS/Hallway Lockers -SOLUTION.ipynb => 09-Riddles/Riddle Interview Problems/Riddle Interview Problems - SOLUTIONS/.ipynb_checkpoints/04-Hallway Lockers -SOLUTION-checkpoint.ipynb (96%)
 create mode 100644 09-Riddles/Riddle Interview Problems/Riddle Interview Problems - SOLUTIONS/.ipynb_checkpoints/05-Jugs of Water - SOLUTION-checkpoint.ipynb
 rename Riddles/Riddle Interview Problems/Riddle Interview Problems - SOLUTIONS/Light Switches - SOLUTION.ipynb => 09-Riddles/Riddle Interview Problems/Riddle Interview Problems - SOLUTIONS/.ipynb_checkpoints/06-Light Switches - SOLUTION-checkpoint.ipynb (91%)
 rename Riddles/Riddle Interview Problems/Riddle Interview Problems - SOLUTIONS/Ropes Burning - SOLUTION.ipynb => 09-Riddles/Riddle Interview Problems/Riddle Interview Problems - SOLUTIONS/.ipynb_checkpoints/07-Ropes Burning - SOLUTION-checkpoint.ipynb (88%)
 rename Riddles/Riddle Interview Problems/Riddle Interview Problems - SOLUTIONS/.ipynb_checkpoints/Bridge Crossing - SOLUTION-checkpoint.ipynb => 09-Riddles/Riddle Interview Problems/Riddle Interview Problems - SOLUTIONS/01-Bridge Crossing - SOLUTION.ipynb (93%)
 rename Riddles/Riddle Interview Problems/Riddle Interview Problems - SOLUTIONS/Coins and a Scale - SOLUTION.ipynb => 09-Riddles/Riddle Interview Problems/Riddle Interview Problems - SOLUTIONS/02-Coins and a Scale - SOLUTION.ipynb (91%)
 rename Riddles/Riddle Interview Problems/Riddle Interview Problems - SOLUTIONS/.ipynb_checkpoints/Egg Drop - SOLUTION-checkpoint.ipynb => 09-Riddles/Riddle Interview Problems/Riddle Interview Problems - SOLUTIONS/03-Egg Drop - SOLUTION.ipynb (95%)
 rename Riddles/Riddle Interview Problems/Riddle Interview Problems - SOLUTIONS/.ipynb_checkpoints/Hallway Lockers -SOLUTION-checkpoint.ipynb => 09-Riddles/Riddle Interview Problems/Riddle Interview Problems - SOLUTIONS/04-Hallway Lockers -SOLUTION.ipynb (96%)
 create mode 100644 09-Riddles/Riddle Interview Problems/Riddle Interview Problems - SOLUTIONS/05-Jugs of Water - SOLUTION.ipynb
 rename Riddles/Riddle Interview Problems/Riddle Interview Problems - SOLUTIONS/.ipynb_checkpoints/Light Switches - SOLUTION-checkpoint.ipynb => 09-Riddles/Riddle Interview Problems/Riddle Interview Problems - SOLUTIONS/06-Light Switches - SOLUTION.ipynb (91%)
 rename Riddles/Riddle Interview Problems/Riddle Interview Problems - SOLUTIONS/.ipynb_checkpoints/Ropes Burning - SOLUTION-checkpoint.ipynb => 09-Riddles/Riddle Interview Problems/Riddle Interview Problems - SOLUTIONS/07-Ropes Burning - SOLUTION.ipynb (88%)
 rename Riddles/Riddle Interview Problems/Riddle Interview Problems /.ipynb_checkpoints/Bridge Crossing-checkpoint.ipynb => 09-Riddles/Riddle Interview Problems/Riddle Interview Problems /.ipynb_checkpoints/01-Bridge Crossing-checkpoint.ipynb (89%)
 rename Riddles/Riddle Interview Problems/Riddle Interview Problems /Coins and a Scale .ipynb => 09-Riddles/Riddle Interview Problems/Riddle Interview Problems /.ipynb_checkpoints/02-Coins and a Scale -checkpoint.ipynb (84%)
 rename Riddles/Riddle Interview Problems/Riddle Interview Problems /.ipynb_checkpoints/Egg Drop -checkpoint.ipynb => 09-Riddles/Riddle Interview Problems/Riddle Interview Problems /.ipynb_checkpoints/03-Egg Drop -checkpoint.ipynb (89%)
 rename Riddles/Riddle Interview Problems/Riddle Interview Problems /Hallway Lockers.ipynb => 09-Riddles/Riddle Interview Problems/Riddle Interview Problems /.ipynb_checkpoints/04-Hallway Lockers-checkpoint.ipynb (87%)
 rename Riddles/Riddle Interview Problems/Riddle Interview Problems /.ipynb_checkpoints/Jugs of Water -checkpoint.ipynb => 09-Riddles/Riddle Interview Problems/Riddle Interview Problems /.ipynb_checkpoints/05-Jugs of Water -checkpoint.ipynb (80%)
 rename Riddles/Riddle Interview Problems/Riddle Interview Problems /.ipynb_checkpoints/Light Switches -checkpoint.ipynb => 09-Riddles/Riddle Interview Problems/Riddle Interview Problems /.ipynb_checkpoints/06-Light Switches -checkpoint.ipynb (86%)
 rename Riddles/Riddle Interview Problems/Riddle Interview Problems /Ropes Burning.ipynb => 09-Riddles/Riddle Interview Problems/Riddle Interview Problems /.ipynb_checkpoints/07-Ropes Burning-checkpoint.ipynb (83%)
 rename Riddles/Riddle Interview Problems/Riddle Interview Problems /Bridge Crossing.ipynb => 09-Riddles/Riddle Interview Problems/Riddle Interview Problems /01-Bridge Crossing.ipynb (89%)
 rename Riddles/Riddle Interview Problems/Riddle Interview Problems /.ipynb_checkpoints/Coins and a Scale -checkpoint.ipynb => 09-Riddles/Riddle Interview Problems/Riddle Interview Problems /02-Coins and a Scale .ipynb (84%)
 rename Riddles/Riddle Interview Problems/Riddle Interview Problems /Egg Drop .ipynb => 09-Riddles/Riddle Interview Problems/Riddle Interview Problems /03-Egg Drop .ipynb (89%)
 rename Riddles/Riddle Interview Problems/Riddle Interview Problems /.ipynb_checkpoints/Hallway Lockers-checkpoint.ipynb => 09-Riddles/Riddle Interview Problems/Riddle Interview Problems /04-Hallway Lockers.ipynb (87%)
 rename Riddles/Riddle Interview Problems/Riddle Interview Problems /Jugs of Water .ipynb => 09-Riddles/Riddle Interview Problems/Riddle Interview Problems /05-Jugs of Water .ipynb (80%)
 rename Riddles/Riddle Interview Problems/Riddle Interview Problems /Light Switches .ipynb => 09-Riddles/Riddle Interview Problems/Riddle Interview Problems /06-Light Switches .ipynb (86%)
 rename Riddles/Riddle Interview Problems/Riddle Interview Problems /.ipynb_checkpoints/Ropes Burning-checkpoint.ipynb => 09-Riddles/Riddle Interview Problems/Riddle Interview Problems /07-Ropes Burning.ipynb (83%)
 rename Mock Interviews/Large E-Commerce Company/E-Commerce Company - Interview Problems - SOLUTIONS/On-Site Question 1 - SOLUTION.ipynb => 10-Mock Interviews/01-Large E-Commerce Company/E-Commerce Company - Interview Problems - SOLUTIONS/.ipynb_checkpoints/01-On-Site Question 1 - SOLUTION-checkpoint.ipynb (80%)
 rename Mock Interviews/Large E-Commerce Company/E-Commerce Company - Interview Problems - SOLUTIONS/On-Site Question 2 - SOLUTION.ipynb => 10-Mock Interviews/01-Large E-Commerce Company/E-Commerce Company - Interview Problems - SOLUTIONS/.ipynb_checkpoints/02-On-Site Question 2 - SOLUTION-checkpoint.ipynb (95%)
 rename Mock Interviews/Large E-Commerce Company/E-Commerce Company - Interview Problems - SOLUTIONS/.ipynb_checkpoints/On-Site Question 3 - SOLUTION-checkpoint.ipynb => 10-Mock Interviews/01-Large E-Commerce Company/E-Commerce Company - Interview Problems - SOLUTIONS/.ipynb_checkpoints/03-On-Site Question 3 - SOLUTION-checkpoint.ipynb (91%)
 rename Mock Interviews/Large E-Commerce Company/E-Commerce Company - Interview Problems - SOLUTIONS/Phone Screen - SOLUTION.ipynb => 10-Mock Interviews/01-Large E-Commerce Company/E-Commerce Company - Interview Problems - SOLUTIONS/.ipynb_checkpoints/04-Phone Screen - SOLUTION-checkpoint.ipynb (95%)
 rename Mock Interviews/Large E-Commerce Company/E-Commerce Company - Interview Problems - SOLUTIONS/.ipynb_checkpoints/On-Site Question 1 - SOLUTION-checkpoint.ipynb => 10-Mock Interviews/01-Large E-Commerce Company/E-Commerce Company - Interview Problems - SOLUTIONS/01-On-Site Question 1 - SOLUTION.ipynb (78%)
 rename Mock Interviews/Large E-Commerce Company/E-Commerce Company - Interview Problems - SOLUTIONS/.ipynb_checkpoints/On-Site Question 2 - SOLUTION-checkpoint.ipynb => 10-Mock Interviews/01-Large E-Commerce Company/E-Commerce Company - Interview Problems - SOLUTIONS/02-On-Site Question 2 - SOLUTION.ipynb (90%)
 rename Mock Interviews/Large E-Commerce Company/E-Commerce Company - Interview Problems - SOLUTIONS/On-Site Question 3 - SOLUTION.ipynb => 10-Mock Interviews/01-Large E-Commerce Company/E-Commerce Company - Interview Problems - SOLUTIONS/03-On-Site Question 3 - SOLUTION.ipynb (91%)
 rename Mock Interviews/Large E-Commerce Company/E-Commerce Company - Interview Problems - SOLUTIONS/.ipynb_checkpoints/Phone Screen - SOLUTION-checkpoint.ipynb => 10-Mock Interviews/01-Large E-Commerce Company/E-Commerce Company - Interview Problems - SOLUTIONS/04-Phone Screen - SOLUTION.ipynb (95%)
 rename Mock Interviews/Large E-Commerce Company/E-Commerce Company - Interview Problems/On-Site Question 1.ipynb => 10-Mock Interviews/01-Large E-Commerce Company/E-Commerce Company - Interview Problems/.ipynb_checkpoints/01-On-Site Question 1-checkpoint.ipynb (91%)
 rename Mock Interviews/Large E-Commerce Company/E-Commerce Company - Interview Problems/On-Site Question 2 .ipynb => 10-Mock Interviews/01-Large E-Commerce Company/E-Commerce Company - Interview Problems/.ipynb_checkpoints/02-On-Site Question 2 -checkpoint.ipynb (98%)
 rename Mock Interviews/Large E-Commerce Company/E-Commerce Company - Interview Problems/On-Site Question 3.ipynb => 10-Mock Interviews/01-Large E-Commerce Company/E-Commerce Company - Interview Problems/.ipynb_checkpoints/03-On-Site Question 3-checkpoint.ipynb (87%)
 rename Mock Interviews/Large E-Commerce Company/E-Commerce Company - Interview Problems/.ipynb_checkpoints/Phone Screen -checkpoint.ipynb => 10-Mock Interviews/01-Large E-Commerce Company/E-Commerce Company - Interview Problems/.ipynb_checkpoints/04-Phone Screen -checkpoint.ipynb (89%)
 rename Mock Interviews/Large E-Commerce Company/E-Commerce Company - Interview Problems/.ipynb_checkpoints/On-Site Question 1-checkpoint.ipynb => 10-Mock Interviews/01-Large E-Commerce Company/E-Commerce Company - Interview Problems/01-On-Site Question 1.ipynb (91%)
 rename Mock Interviews/Large E-Commerce Company/E-Commerce Company - Interview Problems/.ipynb_checkpoints/On-Site Question 2 -checkpoint.ipynb => 10-Mock Interviews/01-Large E-Commerce Company/E-Commerce Company - Interview Problems/02-On-Site Question 2 .ipynb (88%)
 rename Mock Interviews/Large E-Commerce Company/E-Commerce Company - Interview Problems/.ipynb_checkpoints/On-Site Question 3-checkpoint.ipynb => 10-Mock Interviews/01-Large E-Commerce Company/E-Commerce Company - Interview Problems/03-On-Site Question 3.ipynb (87%)
 rename Mock Interviews/Large E-Commerce Company/E-Commerce Company - Interview Problems/Phone Screen .ipynb => 10-Mock Interviews/01-Large E-Commerce Company/E-Commerce Company - Interview Problems/04-Phone Screen .ipynb (89%)
 rename Mock Interviews/Large Search Engine Company /Search Engine Company - Interview Problems - SOLUTIONS/On-Site Question 1 - SOLUTION.ipynb => 10-Mock Interviews/02-Large Search Engine Company /Search Engine Company - Interview Problems - SOLUTIONS/.ipynb_checkpoints/01-On-Site Question 1 - SOLUTION-checkpoint.ipynb (84%)
 rename Mock Interviews/Large Search Engine Company /Search Engine Company - Interview Problems - SOLUTIONS/On-Site Question 2 - SOLUTION.ipynb => 10-Mock Interviews/02-Large Search Engine Company /Search Engine Company - Interview Problems - SOLUTIONS/.ipynb_checkpoints/02-On-Site Question 2 - SOLUTION-checkpoint.ipynb (90%)
 rename Mock Interviews/Large Search Engine Company /Search Engine Company - Interview Problems - SOLUTIONS/On-Site Question 3 -SOLUTION.ipynb => 10-Mock Interviews/02-Large Search Engine Company /Search Engine Company - Interview Problems - SOLUTIONS/.ipynb_checkpoints/03-On-Site Question 3 -SOLUTION-checkpoint.ipynb (89%)
 rename Mock Interviews/Large Search Engine Company /Search Engine Company - Interview Problems - SOLUTIONS/On-Site Question 4 - SOLUTION.ipynb => 10-Mock Interviews/02-Large Search Engine Company /Search Engine Company - Interview Problems - SOLUTIONS/.ipynb_checkpoints/04-On-Site Question 4 - SOLUTION-checkpoint.ipynb (88%)
 rename Mock Interviews/Large Search Engine Company /Search Engine Company - Interview Problems - SOLUTIONS/.ipynb_checkpoints/Phone Screen-checkpoint.ipynb => 10-Mock Interviews/02-Large Search Engine Company /Search Engine Company - Interview Problems - SOLUTIONS/.ipynb_checkpoints/05-Phone Screen-checkpoint.ipynb (94%)
 rename Mock Interviews/Large Search Engine Company /Search Engine Company - Interview Problems - SOLUTIONS/.ipynb_checkpoints/On-Site Question 1 - SOLUTION-checkpoint.ipynb => 10-Mock Interviews/02-Large Search Engine Company /Search Engine Company - Interview Problems - SOLUTIONS/01-On-Site Question 1 - SOLUTION.ipynb (84%)
 rename Mock Interviews/Large Search Engine Company /Search Engine Company - Interview Problems - SOLUTIONS/.ipynb_checkpoints/On-Site Question 2 - SOLUTION-checkpoint.ipynb => 10-Mock Interviews/02-Large Search Engine Company /Search Engine Company - Interview Problems - SOLUTIONS/02-On-Site Question 2 - SOLUTION.ipynb (89%)
 rename Mock Interviews/Large Search Engine Company /Search Engine Company - Interview Problems - SOLUTIONS/.ipynb_checkpoints/On-Site Question 3 -SOLUTION-checkpoint.ipynb => 10-Mock Interviews/02-Large Search Engine Company /Search Engine Company - Interview Problems - SOLUTIONS/03-On-Site Question 3 -SOLUTION.ipynb (89%)
 rename Mock Interviews/Large Search Engine Company /Search Engine Company - Interview Problems - SOLUTIONS/.ipynb_checkpoints/On-Site Question 4 - SOLUTION-checkpoint.ipynb => 10-Mock Interviews/02-Large Search Engine Company /Search Engine Company - Interview Problems - SOLUTIONS/04-On-Site Question 4 - SOLUTION.ipynb (88%)
 rename Mock Interviews/Large Search Engine Company /Search Engine Company - Interview Problems - SOLUTIONS/Phone Screen.ipynb => 10-Mock Interviews/02-Large Search Engine Company /Search Engine Company - Interview Problems - SOLUTIONS/05-Phone Screen.ipynb (94%)
 rename Mock Interviews/Large Search Engine Company /Search Engine Company - Interview Problems/On-Site Question 1 .ipynb => 10-Mock Interviews/02-Large Search Engine Company /Search Engine Company - Interview Problems/.ipynb_checkpoints/01-On-Site Question 1 -checkpoint.ipynb (93%)
 rename Mock Interviews/Large Search Engine Company /Search Engine Company - Interview Problems/On-Site Question 2 .ipynb => 10-Mock Interviews/02-Large Search Engine Company /Search Engine Company - Interview Problems/.ipynb_checkpoints/02-On-Site Question 2 -checkpoint.ipynb (86%)
 rename Mock Interviews/Large Search Engine Company /Search Engine Company - Interview Problems/.ipynb_checkpoints/On-Site Question 3 -checkpoint.ipynb => 10-Mock Interviews/02-Large Search Engine Company /Search Engine Company - Interview Problems/.ipynb_checkpoints/03-On-Site Question 3 -checkpoint.ipynb (85%)
 rename Mock Interviews/Large Search Engine Company /Search Engine Company - Interview Problems/.ipynb_checkpoints/On-Site Question 4 -checkpoint.ipynb => 10-Mock Interviews/02-Large Search Engine Company /Search Engine Company - Interview Problems/.ipynb_checkpoints/04-On-Site Question 4 -checkpoint.ipynb (85%)
 rename Mock Interviews/Large Search Engine Company /Search Engine Company - Interview Problems/Phone Screen.ipynb => 10-Mock Interviews/02-Large Search Engine Company /Search Engine Company - Interview Problems/.ipynb_checkpoints/05-Phone Screen-checkpoint.ipynb (92%)
 rename Mock Interviews/Large Search Engine Company /Search Engine Company - Interview Problems/.ipynb_checkpoints/On-Site Question 1 -checkpoint.ipynb => 10-Mock Interviews/02-Large Search Engine Company /Search Engine Company - Interview Problems/01-On-Site Question 1 .ipynb (93%)
 rename Mock Interviews/Large Search Engine Company /Search Engine Company - Interview Problems/.ipynb_checkpoints/On-Site Question 2 -checkpoint.ipynb => 10-Mock Interviews/02-Large Search Engine Company /Search Engine Company - Interview Problems/02-On-Site Question 2 .ipynb (86%)
 rename Mock Interviews/Large Search Engine Company /Search Engine Company - Interview Problems/On-Site Question 3 .ipynb => 10-Mock Interviews/02-Large Search Engine Company /Search Engine Company - Interview Problems/03-On-Site Question 3 .ipynb (85%)
 rename Mock Interviews/Large Search Engine Company /Search Engine Company - Interview Problems/On-Site Question 4 .ipynb => 10-Mock Interviews/02-Large Search Engine Company /Search Engine Company - Interview Problems/04-On-Site Question 4 .ipynb (85%)
 rename Mock Interviews/Large Search Engine Company /Search Engine Company - Interview Problems/.ipynb_checkpoints/Phone Screen-checkpoint.ipynb => 10-Mock Interviews/02-Large Search Engine Company /Search Engine Company - Interview Problems/05-Phone Screen.ipynb (92%)
 rename {Mock Interviews/Ride Share Start-Up Company => 10-Mock Interviews/03-Ride Share Start-Up Company}/Ride Share Company - Interview Questions - SOLUTIONS/.ipynb_checkpoints/On-Site Question 1 - SOLUTION-checkpoint.ipynb (100%)
 rename {Mock Interviews/Ride Share Start-Up Company => 10-Mock Interviews/03-Ride Share Start-Up Company}/Ride Share Company - Interview Questions - SOLUTIONS/.ipynb_checkpoints/On-Site Question 2 - SOLUTION-checkpoint.ipynb (100%)
 rename {Mock Interviews/Ride Share Start-Up Company => 10-Mock Interviews/03-Ride Share Start-Up Company}/Ride Share Company - Interview Questions - SOLUTIONS/.ipynb_checkpoints/On-Site Question 3 - SOLUTION-checkpoint.ipynb (100%)
 rename {Mock Interviews/Ride Share Start-Up Company => 10-Mock Interviews/03-Ride Share Start-Up Company}/Ride Share Company - Interview Questions - SOLUTIONS/.ipynb_checkpoints/Phone Screen - SOLUTION-checkpoint.ipynb (100%)
 rename {Mock Interviews/Ride Share Start-Up Company => 10-Mock Interviews/03-Ride Share Start-Up Company}/Ride Share Company - Interview Questions - SOLUTIONS/On-Site Question 1 - SOLUTION.ipynb (100%)
 rename {Mock Interviews/Ride Share Start-Up Company => 10-Mock Interviews/03-Ride Share Start-Up Company}/Ride Share Company - Interview Questions - SOLUTIONS/On-Site Question 2 - SOLUTION.ipynb (100%)
 rename {Mock Interviews/Ride Share Start-Up Company => 10-Mock Interviews/03-Ride Share Start-Up Company}/Ride Share Company - Interview Questions - SOLUTIONS/On-Site Question 3 - SOLUTION.ipynb (100%)
 rename {Mock Interviews/Ride Share Start-Up Company => 10-Mock Interviews/03-Ride Share Start-Up Company}/Ride Share Company - Interview Questions - SOLUTIONS/Phone Screen - SOLUTION.ipynb (100%)
 rename {Mock Interviews/Ride Share Start-Up Company => 10-Mock Interviews/03-Ride Share Start-Up Company}/Ride Share Company - Interview Questions /.ipynb_checkpoints/On-Site Question 1 -checkpoint.ipynb (100%)
 rename {Mock Interviews/Ride Share Start-Up Company => 10-Mock Interviews/03-Ride Share Start-Up Company}/Ride Share Company - Interview Questions /.ipynb_checkpoints/On-Site Question 2 -checkpoint.ipynb (100%)
 rename {Mock Interviews/Ride Share Start-Up Company => 10-Mock Interviews/03-Ride Share Start-Up Company}/Ride Share Company - Interview Questions /.ipynb_checkpoints/On-Site Question 3 -checkpoint.ipynb (100%)
 rename {Mock Interviews/Ride Share Start-Up Company => 10-Mock Interviews/03-Ride Share Start-Up Company}/Ride Share Company - Interview Questions /.ipynb_checkpoints/Phone Screen -checkpoint.ipynb (100%)
 rename {Mock Interviews/Ride Share Start-Up Company => 10-Mock Interviews/03-Ride Share Start-Up Company}/Ride Share Company - Interview Questions /On-Site Question 1 .ipynb (100%)
 rename {Mock Interviews/Ride Share Start-Up Company => 10-Mock Interviews/03-Ride Share Start-Up Company}/Ride Share Company - Interview Questions /On-Site Question 2 .ipynb (100%)
 rename {Mock Interviews/Ride Share Start-Up Company => 10-Mock Interviews/03-Ride Share Start-Up Company}/Ride Share Company - Interview Questions /On-Site Question 3 .ipynb (100%)
 rename {Mock Interviews/Ride Share Start-Up Company => 10-Mock Interviews/03-Ride Share Start-Up Company}/Ride Share Company - Interview Questions /Phone Screen .ipynb (100%)
 rename {Mock Interviews/Social Network Company => 10-Mock Interviews/04-Social Network Company}/Social Network Company - Interview Questions - SOLUTIONS/.ipynb_checkpoints/On-Site Question 1 - SOLUTION-checkpoint.ipynb (100%)
 rename {Mock Interviews/Social Network Company => 10-Mock Interviews/04-Social Network Company}/Social Network Company - Interview Questions - SOLUTIONS/.ipynb_checkpoints/On-Site Question 2 - SOLUTION-checkpoint.ipynb (100%)
 rename {Mock Interviews/Social Network Company => 10-Mock Interviews/04-Social Network Company}/Social Network Company - Interview Questions - SOLUTIONS/.ipynb_checkpoints/On-Site Question 3 - SOLUTION-checkpoint.ipynb (100%)
 rename {Mock Interviews/Social Network Company => 10-Mock Interviews/04-Social Network Company}/Social Network Company - Interview Questions - SOLUTIONS/.ipynb_checkpoints/Phone Screen - SOLUTION-checkpoint.ipynb (100%)
 rename {Mock Interviews/Social Network Company => 10-Mock Interviews/04-Social Network Company}/Social Network Company - Interview Questions - SOLUTIONS/On-Site Question 1 - SOLUTION.ipynb (100%)
 rename {Mock Interviews/Social Network Company => 10-Mock Interviews/04-Social Network Company}/Social Network Company - Interview Questions - SOLUTIONS/On-Site Question 2 - SOLUTION.ipynb (100%)
 rename {Mock Interviews/Social Network Company => 10-Mock Interviews/04-Social Network Company}/Social Network Company - Interview Questions - SOLUTIONS/On-Site Question 3 - SOLUTION.ipynb (100%)
 rename {Mock Interviews/Social Network Company => 10-Mock Interviews/04-Social Network Company}/Social Network Company - Interview Questions - SOLUTIONS/Phone Screen - SOLUTION.ipynb (100%)
 rename {Mock Interviews/Social Network Company => 10-Mock Interviews/04-Social Network Company}/Social Network Company - Interview Questions /.ipynb_checkpoints/On-Site Question 1-checkpoint.ipynb (100%)
 rename {Mock Interviews/Social Network Company => 10-Mock Interviews/04-Social Network Company}/Social Network Company - Interview Questions /.ipynb_checkpoints/On-Site Question 2-checkpoint.ipynb (100%)
 rename {Mock Interviews/Social Network Company => 10-Mock Interviews/04-Social Network Company}/Social Network Company - Interview Questions /.ipynb_checkpoints/On-Site Question 3-checkpoint.ipynb (100%)
 rename {Mock Interviews/Social Network Company => 10-Mock Interviews/04-Social Network Company}/Social Network Company - Interview Questions /.ipynb_checkpoints/Phone Screen -checkpoint.ipynb (100%)
 rename {Mock Interviews/Social Network Company => 10-Mock Interviews/04-Social Network Company}/Social Network Company - Interview Questions /On-Site Question 1.ipynb (100%)
 rename {Mock Interviews/Social Network Company => 10-Mock Interviews/04-Social Network Company}/Social Network Company - Interview Questions /On-Site Question 2.ipynb (100%)
 rename {Mock Interviews/Social Network Company => 10-Mock Interviews/04-Social Network Company}/Social Network Company - Interview Questions /On-Site Question 3.ipynb (100%)
 rename {Mock Interviews/Social Network Company => 10-Mock Interviews/04-Social Network Company}/Social Network Company - Interview Questions /Phone Screen .ipynb (100%)
 delete mode 100644 Algorithm Analysis and Big O/.ipynb_checkpoints/Big O Notation-checkpoint.ipynb
 delete mode 100644 Algorithm Analysis and Big O/Big O Notation.ipynb
 delete mode 100644 Graphs/Graph Interview Questions/.ipynb_checkpoints/Implement a Graph-checkpoint.ipynb
 delete mode 100644 Graphs/Graph Interview Questions/Implement Depth First Search Algorithm.ipynb
 delete mode 100644 Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems /Linked List Reversal .ipynb
 delete mode 100644 Riddles/Riddle Interview Problems/Riddle Interview Problems - SOLUTIONS/.ipynb_checkpoints/Jugs of Water - SOLUTION-checkpoint.ipynb
 delete mode 100644 Riddles/Riddle Interview Problems/Riddle Interview Problems - SOLUTIONS/Jugs of Water - SOLUTION.ipynb
 delete mode 100644 Stacks, Queues and Deques/.ipynb_checkpoints/Deques Overview-checkpoint.ipynb
 delete mode 100644 Stacks, Queues and Deques/.ipynb_checkpoints/Queues Overview-checkpoint.ipynb
 delete mode 100644 Stacks, Queues and Deques/.ipynb_checkpoints/Stacks Overview-checkpoint.ipynb
 delete mode 100644 Stacks, Queues and Deques/Deques Overview.ipynb
 delete mode 100644 Stacks, Queues and Deques/Queues Overview.ipynb
 delete mode 100644 Stacks, Queues and Deques/Stacks Overview.ipynb

diff --git a/Algorithm Analysis and Big O/.ipynb_checkpoints/Algorithm Analysis and Big O Quiz-checkpoint.ipynb b/01-Algorithm Analysis and Big O/.ipynb_checkpoints/Algorithm Analysis and Big O Quiz-checkpoint.ipynb
similarity index 74%
rename from Algorithm Analysis and Big O/.ipynb_checkpoints/Algorithm Analysis and Big O Quiz-checkpoint.ipynb
rename to 01-Algorithm Analysis and Big O/.ipynb_checkpoints/Algorithm Analysis and Big O Quiz-checkpoint.ipynb
index 5f2b2c4f..84b0069a 100644
--- a/Algorithm Analysis and Big O/.ipynb_checkpoints/Algorithm Analysis and Big O Quiz-checkpoint.ipynb	
+++ b/01-Algorithm Analysis and Big O/.ipynb_checkpoints/Algorithm Analysis and Big O Quiz-checkpoint.ipynb	
@@ -10,23 +10,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.10"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Algorithm Analysis and Big O/.ipynb_checkpoints/Big O Examples -checkpoint.ipynb b/01-Algorithm Analysis and Big O/.ipynb_checkpoints/Big O Examples -checkpoint.ipynb
similarity index 87%
rename from Algorithm Analysis and Big O/.ipynb_checkpoints/Big O Examples -checkpoint.ipynb
rename to 01-Algorithm Analysis and Big O/.ipynb_checkpoints/Big O Examples -checkpoint.ipynb
index 7f3a7a2d..118bd5dc 100644
--- a/Algorithm Analysis and Big O/.ipynb_checkpoints/Big O Examples -checkpoint.ipynb	
+++ b/01-Algorithm Analysis and Big O/.ipynb_checkpoints/Big O Examples -checkpoint.ipynb	
@@ -15,10 +15,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 1,
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -33,7 +31,7 @@
     "    '''\n",
     "    Prints first item in a list of values.\n",
     "    '''\n",
-    "    print values[0]\n",
+    "    print(values[0])\n",
     "    \n",
     "func_constant([1,2,3])"
    ]
@@ -54,10 +52,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 2,
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -75,7 +71,7 @@
     "    Takes in list and prints out all values\n",
     "    '''\n",
     "    for val in lst:\n",
-    "        print val\n",
+    "        print(val)\n",
     "        \n",
     "func_lin([1,2,3])"
    ]
@@ -96,10 +92,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 3,
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -131,7 +125,7 @@
     "    '''\n",
     "    for item_1 in lst:\n",
     "        for item_2 in lst:\n",
-    "            print item_1,item_2\n",
+    "            print(item_1,item_2)\n",
     "            \n",
     "lst = [0, 1, 2, 3]\n",
     "\n",
@@ -159,10 +153,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 4,
+   "metadata": {},
    "outputs": [],
    "source": [
     "def print_once(lst):\n",
@@ -170,15 +162,13 @@
     "    Prints all items once\n",
     "    '''\n",
     "    for val in lst:\n",
-    "        print val"
+    "        print(val)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 5,
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -204,10 +194,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 6,
+   "metadata": {},
    "outputs": [],
    "source": [
     "def print_3(lst):\n",
@@ -215,21 +203,19 @@
     "    Prints all items three times\n",
     "    '''\n",
     "    for val in lst:\n",
-    "        print val\n",
+    "        print(val)\n",
     "        \n",
     "    for val in lst:\n",
-    "        print val\n",
+    "        print (val)\n",
     "        \n",
     "    for val in lst:\n",
-    "        print val"
+    "        print (val)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 7,
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -265,10 +251,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 12,
+   "metadata": {},
    "outputs": [],
    "source": [
     "def comp(lst):\n",
@@ -277,23 +261,21 @@
     "    Then is prints the first 1/2 of the list O(n/2)\n",
     "    Then prints a string 10 times O(10)\n",
     "    '''\n",
-    "    print lst[0]\n",
+    "    print(lst[0])\n",
     "    \n",
-    "    midpoint = len(lst)/2\n",
+    "    midpoint = len(lst) // 2\n",
     "    \n",
     "    for val in lst[:midpoint]:\n",
-    "        print val\n",
+    "        print(val)\n",
     "        \n",
     "    for x in range(10):\n",
-    "        print 'number'"
+    "        print('number')"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 13,
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -346,10 +328,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 14,
+   "metadata": {},
    "outputs": [],
    "source": [
     "def matcher(lst,match):\n",
@@ -364,10 +344,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 15,
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -375,7 +353,7 @@
        "[1, 2, 3, 4, 5, 6, 7, 8, 9, 10]"
       ]
      },
-     "execution_count": 21,
+     "execution_count": 15,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -386,10 +364,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 16,
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -397,7 +373,7 @@
        "True"
       ]
      },
-     "execution_count": 22,
+     "execution_count": 16,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -408,10 +384,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 17,
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -419,7 +393,7 @@
        "False"
       ]
      },
-     "execution_count": 24,
+     "execution_count": 17,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -445,26 +419,22 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 21,
+   "metadata": {},
    "outputs": [],
    "source": [
     "def printer(n=10):\n",
     "    '''\n",
     "    Prints \"hello world!\" n times\n",
     "    '''\n",
-    "    for x in range(10):\n",
-    "        print 'Hello World!'"
+    "    for x in range(n):\n",
+    "        print('Hello World!')"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 22,
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -498,10 +468,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 23,
+   "metadata": {},
    "outputs": [],
    "source": [
     "def create_list(n):\n",
@@ -515,10 +483,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 29,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 24,
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -529,7 +495,7 @@
     }
    ],
    "source": [
-    "print create_list(5)"
+    "print(create_list(5))"
    ]
   },
   {
@@ -558,23 +524,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.10"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/01-Algorithm Analysis and Big O/.ipynb_checkpoints/Big O Notation-checkpoint.ipynb b/01-Algorithm Analysis and Big O/.ipynb_checkpoints/Big O Notation-checkpoint.ipynb
new file mode 100644
index 00000000..713ba5a6
--- /dev/null
+++ b/01-Algorithm Analysis and Big O/.ipynb_checkpoints/Big O Notation-checkpoint.ipynb	
@@ -0,0 +1,202 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Big O Notation\n",
+    "In this lecture we will go over how the syntax of Big-O Notation works and how we can describe algorithms using Big-O Notation!\n",
+    "\n",
+    "We previously discussed the functions below:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# First function (Note the use of xrange since this is in Python 2)\n",
+    "def sum1(n):\n",
+    "    '''\n",
+    "    Take an input of n and return the sum of the numbers from 0 to n\n",
+    "    '''\n",
+    "    final_sum = 0\n",
+    "    for x in range(n+1): \n",
+    "        final_sum += x\n",
+    "    \n",
+    "    return final_sum"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def sum2(n):\n",
+    "    \"\"\"\n",
+    "    Take an input of n and return the sum of the numbers from 0 to n\n",
+    "    \"\"\"\n",
+    "    return (n*(n+1))/2"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Now we want to develop a notation to objectively compare the efficiency of these two algorithms. A good place to start would be to compare the number of assignments each algorithm makes.\n",
+    "\n",
+    "The original **sum1** function will create an assignment **n+1** times, we can see this from the range based function. This means it will assign the final_sum variable n+1 times. We can then say that for a problem of n size (in this case just a number n) this function will take 1+n steps.\n",
+    "\n",
+    "This **n** notation allows us to compare solutions and algorithms relative to the size of the problem, since sum1(10) and sum1(100000) would take very different times to run but be using the same algorithm. We can also note that as n grows very large, the **+1** won't have much effect. So let's begin discussing how to build a syntax for this notation.\n",
+    "________\n",
+    "\n",
+    "Now we will discuss how we can formalize this notation and idea.\n",
+    "\n",
+    "Big-O notation describes *how quickly runtime will grow relative to the input as the input get arbitrarily large*.\n",
+    "\n",
+    "Let's examine some of these points more closely:\n",
+    "\n",
+    "* Remember, we want to compare how quickly runtime will grows, not compare exact runtimes, since those can vary depending on hardware.\n",
+    "\n",
+    "* Since we want to compare for a variety of input sizes, we are only concerned with runtime grow *relative* to the input. This is why we use **n** for notation.\n",
+    "\n",
+    "* As n gets arbitrarily large we only worry about terms that will grow the fastest as n gets large, to this point, Big-O analysis is also known as **asymptotic analysis**\n",
+    "\n",
+    "\n",
+    "As for syntax sum1() can be said to be **O(n)** since its runtime grows linearly with the input size. In the next lecture we will go over more specific examples of various O() types and examples. To conclude this lecture we will show the potential for vast difference in runtimes of Big-O functions.\n",
+    "\n",
+    "## Runtimes of Common Big-O Functions\n",
+    "\n",
+    "Here is a table of common Big-O functions:"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "<table>\n",
+    "<tr>\n",
+    "    <th><strong>Big-O</strong></th>\n",
+    "    <th><strong>Name</strong></th>\n",
+    "</tr>\n",
+    "<tr>\n",
+    "    <td>1</td>\n",
+    "    <td>Constant</td>\n",
+    "</tr>\n",
+    "<tr>\n",
+    "    <td>log(n)</td>\n",
+    "    <td>Logarithmic</td>\n",
+    "</tr>\n",
+    "    <tr><td>n</td>\n",
+    "    <td>Linear</td>\n",
+    "</tr>\n",
+    "    <tr><td>nlog(n)</td>\n",
+    "    <td>Log Linear</td>\n",
+    "</tr>\n",
+    "    <tr><td>n^2</td>\n",
+    "    <td>Quadratic</td>\n",
+    "</tr>\n",
+    "    <tr><td>n^3</td>\n",
+    "    <td>Cubic</td>\n",
+    "</tr>\n",
+    "    <tr><td>2^n</td>\n",
+    "    <td>Exponential</td>\n",
+    "</tr>\n",
+    "</table>"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Now let's plot the runtime versus the Big-O to compare the runtimes. We'll use a simple [matplotlib](http://matplotlib.org/) for the plot below. (Don't be concerned with how to use matplotlib, that is irrelevant for this part)."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Text(0.5, 0, 'n')"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 864x720 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "from math import log\n",
+    "import numpy as np\n",
+    "import matplotlib.pyplot as plt\n",
+    "%matplotlib inline\n",
+    "plt.style.use('bmh')\n",
+    "\n",
+    "# Set up runtime comparisons\n",
+    "n = np.linspace(1,10,1000)\n",
+    "labels = ['Constant','Logarithmic','Linear','Log Linear','Quadratic','Cubic','Exponential']\n",
+    "big_o = [np.ones(n.shape),np.log(n),n,n*np.log(n),n**2,n**3,2**n]\n",
+    "\n",
+    "# Plot setup\n",
+    "plt.figure(figsize=(12,10))\n",
+    "plt.ylim(0,50)\n",
+    "\n",
+    "for i in range(len(big_o)):\n",
+    "    plt.plot(n,big_o[i],label = labels[i])\n",
+    "\n",
+    "\n",
+    "plt.legend(loc=0)\n",
+    "plt.ylabel('Relative Runtime')\n",
+    "plt.xlabel('n')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Note how much of a difference a Big-O efficiency can make for the same n value against the projected runtime! Clearly we want to choose algorithms that stay away from any exponential, quadratic, or cubic behavior!\n",
+    "\n",
+    "In the next lecture we will learn how to properly denote Big-O and look at examples of various problems and calculate the Big-O of them!"
+   ]
+  }
+ ],
+ "metadata": {
+  "anaconda-cloud": {},
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 1
+}
diff --git a/Algorithm Analysis and Big O/.ipynb_checkpoints/Big O for Python Data Structures-checkpoint.ipynb b/01-Algorithm Analysis and Big O/.ipynb_checkpoints/Big O for Python Data Structures-checkpoint.ipynb
similarity index 89%
rename from Algorithm Analysis and Big O/.ipynb_checkpoints/Big O for Python Data Structures-checkpoint.ipynb
rename to 01-Algorithm Analysis and Big O/.ipynb_checkpoints/Big O for Python Data Structures-checkpoint.ipynb
index ee5c35e6..cf92fa84 100644
--- a/Algorithm Analysis and Big O/.ipynb_checkpoints/Big O for Python Data Structures-checkpoint.ipynb	
+++ b/01-Algorithm Analysis and Big O/.ipynb_checkpoints/Big O for Python Data Structures-checkpoint.ipynb	
@@ -23,27 +23,25 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 3,
+   "metadata": {},
    "outputs": [],
    "source": [
     "def method1():\n",
     "    l = []\n",
-    "    for n in xrange(10000):\n",
+    "    for n in range(10000):\n",
     "        l = l + [n]\n",
     "\n",
     "def method2():\n",
     "    l = []\n",
-    "    for n in xrange(10000):\n",
+    "    for n in range(10000):\n",
     "        l.append(n)\n",
     "\n",
     "def method3():\n",
-    "    l = [n for n in xrange(10000)]\n",
+    "    l = [n for n in range(10000)]\n",
     "\n",
     "def method4():\n",
-    "    l = range(10000) # Python 3: list(range(10000))"
+    "    l = list(range(10000))"
    ]
   },
   {
@@ -55,19 +53,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 4,
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "10 loops, best of 3: 162 ms per loop\n",
-      "1000 loops, best of 3: 820 µs per loop\n",
-      "1000 loops, best of 3: 307 µs per loop\n",
-      "10000 loops, best of 3: 77.7 µs per loop\n"
+      "184 ms ± 9.8 ms per loop (mean ± std. dev. of 7 runs, 1 loop each)\n",
+      "829 µs ± 125 µs per loop (mean ± std. dev. of 7 runs, 1000 loops each)\n",
+      "574 µs ± 134 µs per loop (mean ± std. dev. of 7 runs, 1000 loops each)\n",
+      "194 µs ± 11.8 µs per loop (mean ± std. dev. of 7 runs, 10000 loops each)\n"
      ]
     }
    ],
@@ -187,10 +183,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 5,
+   "metadata": {},
    "outputs": [],
    "source": [
     "d = {'k1':1,'k2':2}"
@@ -198,10 +192,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 6,
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -209,7 +201,7 @@
        "1"
       ]
      },
-     "execution_count": 12,
+     "execution_count": 6,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -266,9 +258,9 @@
  "metadata": {
   "anaconda-cloud": {},
   "kernelspec": {
-   "display_name": "Python [conda env:python3]",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "conda-env-python3-py"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
@@ -280,9 +272,9 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.5.1"
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Algorithm Analysis and Big O/.ipynb_checkpoints/Introduction to Algorithm Analysis and Big O -checkpoint.ipynb b/01-Algorithm Analysis and Big O/.ipynb_checkpoints/Introduction to Algorithm Analysis and Big O -checkpoint.ipynb
similarity index 81%
rename from Algorithm Analysis and Big O/.ipynb_checkpoints/Introduction to Algorithm Analysis and Big O -checkpoint.ipynb
rename to 01-Algorithm Analysis and Big O/.ipynb_checkpoints/Introduction to Algorithm Analysis and Big O -checkpoint.ipynb
index 0238db22..ba511d30 100644
--- a/Algorithm Analysis and Big O/.ipynb_checkpoints/Introduction to Algorithm Analysis and Big O -checkpoint.ipynb	
+++ b/01-Algorithm Analysis and Big O/.ipynb_checkpoints/Introduction to Algorithm Analysis and Big O -checkpoint.ipynb	
@@ -24,10 +24,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 1,
+   "metadata": {},
    "outputs": [],
    "source": [
     "# First function (Note the use of xrange since this is in Python 2)\n",
@@ -36,7 +34,7 @@
     "    Take an input of n and return the sum of the numbers from 0 to n\n",
     "    '''\n",
     "    final_sum = 0\n",
-    "    for x in xrange(n+1): \n",
+    "    for x in range(n+1): \n",
     "        final_sum += x\n",
     "    \n",
     "    return final_sum"
@@ -44,10 +42,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 2,
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -55,7 +51,7 @@
        "55"
       ]
      },
-     "execution_count": 5,
+     "execution_count": 2,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -66,10 +62,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 3,
+   "metadata": {},
    "outputs": [],
    "source": [
     "def sum2(n):\n",
@@ -81,18 +75,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 4,
+   "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "55"
+       "55.0"
       ]
      },
-     "execution_count": 9,
+     "execution_count": 4,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -115,17 +107,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 5,
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "The slowest run took 5.15 times longer than the fastest. This could mean that an intermediate result is being cached \n",
-      "100000 loops, best of 3: 4.86 µs per loop\n"
+      "5.17 µs ± 94.4 ns per loop (mean ± std. dev. of 7 runs, 100000 loops each)\n"
      ]
     }
    ],
@@ -135,17 +124,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 6,
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "The slowest run took 16.54 times longer than the fastest. This could mean that an intermediate result is being cached \n",
-      "10000000 loops, best of 3: 173 ns per loop\n"
+      "161 ns ± 9.09 ns per loop (mean ± std. dev. of 7 runs, 10000000 loops each)\n"
      ]
     }
    ],
@@ -172,23 +158,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.10"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Algorithm Analysis and Big O/Introduction to Algorithm Analysis and Big O .ipynb b/01-Algorithm Analysis and Big O/01-Introduction to Algorithm Analysis and Big O .ipynb
similarity index 81%
rename from Algorithm Analysis and Big O/Introduction to Algorithm Analysis and Big O .ipynb
rename to 01-Algorithm Analysis and Big O/01-Introduction to Algorithm Analysis and Big O .ipynb
index 0238db22..ba511d30 100644
--- a/Algorithm Analysis and Big O/Introduction to Algorithm Analysis and Big O .ipynb	
+++ b/01-Algorithm Analysis and Big O/01-Introduction to Algorithm Analysis and Big O .ipynb	
@@ -24,10 +24,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 1,
+   "metadata": {},
    "outputs": [],
    "source": [
     "# First function (Note the use of xrange since this is in Python 2)\n",
@@ -36,7 +34,7 @@
     "    Take an input of n and return the sum of the numbers from 0 to n\n",
     "    '''\n",
     "    final_sum = 0\n",
-    "    for x in xrange(n+1): \n",
+    "    for x in range(n+1): \n",
     "        final_sum += x\n",
     "    \n",
     "    return final_sum"
@@ -44,10 +42,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 2,
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -55,7 +51,7 @@
        "55"
       ]
      },
-     "execution_count": 5,
+     "execution_count": 2,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -66,10 +62,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 3,
+   "metadata": {},
    "outputs": [],
    "source": [
     "def sum2(n):\n",
@@ -81,18 +75,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 4,
+   "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "55"
+       "55.0"
       ]
      },
-     "execution_count": 9,
+     "execution_count": 4,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -115,17 +107,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 5,
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "The slowest run took 5.15 times longer than the fastest. This could mean that an intermediate result is being cached \n",
-      "100000 loops, best of 3: 4.86 µs per loop\n"
+      "5.17 µs ± 94.4 ns per loop (mean ± std. dev. of 7 runs, 100000 loops each)\n"
      ]
     }
    ],
@@ -135,17 +124,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 6,
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "The slowest run took 16.54 times longer than the fastest. This could mean that an intermediate result is being cached \n",
-      "10000000 loops, best of 3: 173 ns per loop\n"
+      "161 ns ± 9.09 ns per loop (mean ± std. dev. of 7 runs, 10000000 loops each)\n"
      ]
     }
    ],
@@ -172,23 +158,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.10"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/01-Algorithm Analysis and Big O/02-Big O Notation.ipynb b/01-Algorithm Analysis and Big O/02-Big O Notation.ipynb
new file mode 100644
index 00000000..713ba5a6
--- /dev/null
+++ b/01-Algorithm Analysis and Big O/02-Big O Notation.ipynb	
@@ -0,0 +1,202 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Big O Notation\n",
+    "In this lecture we will go over how the syntax of Big-O Notation works and how we can describe algorithms using Big-O Notation!\n",
+    "\n",
+    "We previously discussed the functions below:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# First function (Note the use of xrange since this is in Python 2)\n",
+    "def sum1(n):\n",
+    "    '''\n",
+    "    Take an input of n and return the sum of the numbers from 0 to n\n",
+    "    '''\n",
+    "    final_sum = 0\n",
+    "    for x in range(n+1): \n",
+    "        final_sum += x\n",
+    "    \n",
+    "    return final_sum"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def sum2(n):\n",
+    "    \"\"\"\n",
+    "    Take an input of n and return the sum of the numbers from 0 to n\n",
+    "    \"\"\"\n",
+    "    return (n*(n+1))/2"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Now we want to develop a notation to objectively compare the efficiency of these two algorithms. A good place to start would be to compare the number of assignments each algorithm makes.\n",
+    "\n",
+    "The original **sum1** function will create an assignment **n+1** times, we can see this from the range based function. This means it will assign the final_sum variable n+1 times. We can then say that for a problem of n size (in this case just a number n) this function will take 1+n steps.\n",
+    "\n",
+    "This **n** notation allows us to compare solutions and algorithms relative to the size of the problem, since sum1(10) and sum1(100000) would take very different times to run but be using the same algorithm. We can also note that as n grows very large, the **+1** won't have much effect. So let's begin discussing how to build a syntax for this notation.\n",
+    "________\n",
+    "\n",
+    "Now we will discuss how we can formalize this notation and idea.\n",
+    "\n",
+    "Big-O notation describes *how quickly runtime will grow relative to the input as the input get arbitrarily large*.\n",
+    "\n",
+    "Let's examine some of these points more closely:\n",
+    "\n",
+    "* Remember, we want to compare how quickly runtime will grows, not compare exact runtimes, since those can vary depending on hardware.\n",
+    "\n",
+    "* Since we want to compare for a variety of input sizes, we are only concerned with runtime grow *relative* to the input. This is why we use **n** for notation.\n",
+    "\n",
+    "* As n gets arbitrarily large we only worry about terms that will grow the fastest as n gets large, to this point, Big-O analysis is also known as **asymptotic analysis**\n",
+    "\n",
+    "\n",
+    "As for syntax sum1() can be said to be **O(n)** since its runtime grows linearly with the input size. In the next lecture we will go over more specific examples of various O() types and examples. To conclude this lecture we will show the potential for vast difference in runtimes of Big-O functions.\n",
+    "\n",
+    "## Runtimes of Common Big-O Functions\n",
+    "\n",
+    "Here is a table of common Big-O functions:"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "<table>\n",
+    "<tr>\n",
+    "    <th><strong>Big-O</strong></th>\n",
+    "    <th><strong>Name</strong></th>\n",
+    "</tr>\n",
+    "<tr>\n",
+    "    <td>1</td>\n",
+    "    <td>Constant</td>\n",
+    "</tr>\n",
+    "<tr>\n",
+    "    <td>log(n)</td>\n",
+    "    <td>Logarithmic</td>\n",
+    "</tr>\n",
+    "    <tr><td>n</td>\n",
+    "    <td>Linear</td>\n",
+    "</tr>\n",
+    "    <tr><td>nlog(n)</td>\n",
+    "    <td>Log Linear</td>\n",
+    "</tr>\n",
+    "    <tr><td>n^2</td>\n",
+    "    <td>Quadratic</td>\n",
+    "</tr>\n",
+    "    <tr><td>n^3</td>\n",
+    "    <td>Cubic</td>\n",
+    "</tr>\n",
+    "    <tr><td>2^n</td>\n",
+    "    <td>Exponential</td>\n",
+    "</tr>\n",
+    "</table>"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Now let's plot the runtime versus the Big-O to compare the runtimes. We'll use a simple [matplotlib](http://matplotlib.org/) for the plot below. (Don't be concerned with how to use matplotlib, that is irrelevant for this part)."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Text(0.5, 0, 'n')"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 864x720 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "from math import log\n",
+    "import numpy as np\n",
+    "import matplotlib.pyplot as plt\n",
+    "%matplotlib inline\n",
+    "plt.style.use('bmh')\n",
+    "\n",
+    "# Set up runtime comparisons\n",
+    "n = np.linspace(1,10,1000)\n",
+    "labels = ['Constant','Logarithmic','Linear','Log Linear','Quadratic','Cubic','Exponential']\n",
+    "big_o = [np.ones(n.shape),np.log(n),n,n*np.log(n),n**2,n**3,2**n]\n",
+    "\n",
+    "# Plot setup\n",
+    "plt.figure(figsize=(12,10))\n",
+    "plt.ylim(0,50)\n",
+    "\n",
+    "for i in range(len(big_o)):\n",
+    "    plt.plot(n,big_o[i],label = labels[i])\n",
+    "\n",
+    "\n",
+    "plt.legend(loc=0)\n",
+    "plt.ylabel('Relative Runtime')\n",
+    "plt.xlabel('n')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Note how much of a difference a Big-O efficiency can make for the same n value against the projected runtime! Clearly we want to choose algorithms that stay away from any exponential, quadratic, or cubic behavior!\n",
+    "\n",
+    "In the next lecture we will learn how to properly denote Big-O and look at examples of various problems and calculate the Big-O of them!"
+   ]
+  }
+ ],
+ "metadata": {
+  "anaconda-cloud": {},
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 1
+}
diff --git a/Algorithm Analysis and Big O/Big O Examples .ipynb b/01-Algorithm Analysis and Big O/03-Big O Examples .ipynb
similarity index 92%
rename from Algorithm Analysis and Big O/Big O Examples .ipynb
rename to 01-Algorithm Analysis and Big O/03-Big O Examples .ipynb
index 9352c727..118bd5dc 100644
--- a/Algorithm Analysis and Big O/Big O Examples .ipynb	
+++ b/01-Algorithm Analysis and Big O/03-Big O Examples .ipynb	
@@ -15,7 +15,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [
     {
@@ -31,7 +31,7 @@
     "    '''\n",
     "    Prints first item in a list of values.\n",
     "    '''\n",
-    "    print values[0]\n",
+    "    print(values[0])\n",
     "    \n",
     "func_constant([1,2,3])"
    ]
@@ -52,7 +52,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [
     {
@@ -71,7 +71,7 @@
     "    Takes in list and prints out all values\n",
     "    '''\n",
     "    for val in lst:\n",
-    "        print val\n",
+    "        print(val)\n",
     "        \n",
     "func_lin([1,2,3])"
    ]
@@ -92,7 +92,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [
     {
@@ -125,7 +125,7 @@
     "    '''\n",
     "    for item_1 in lst:\n",
     "        for item_2 in lst:\n",
-    "            print item_1,item_2\n",
+    "            print(item_1,item_2)\n",
     "            \n",
     "lst = [0, 1, 2, 3]\n",
     "\n",
@@ -153,10 +153,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 4,
+   "metadata": {},
    "outputs": [],
    "source": [
     "def print_once(lst):\n",
@@ -164,12 +162,12 @@
     "    Prints all items once\n",
     "    '''\n",
     "    for val in lst:\n",
-    "        print val"
+    "        print(val)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [
     {
@@ -196,10 +194,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 6,
+   "metadata": {},
    "outputs": [],
    "source": [
     "def print_3(lst):\n",
@@ -207,18 +203,18 @@
     "    Prints all items three times\n",
     "    '''\n",
     "    for val in lst:\n",
-    "        print val\n",
+    "        print(val)\n",
     "        \n",
     "    for val in lst:\n",
-    "        print val\n",
+    "        print (val)\n",
     "        \n",
     "    for val in lst:\n",
-    "        print val"
+    "        print (val)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [
     {
@@ -255,10 +251,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 12,
+   "metadata": {},
    "outputs": [],
    "source": [
     "def comp(lst):\n",
@@ -267,20 +261,20 @@
     "    Then is prints the first 1/2 of the list O(n/2)\n",
     "    Then prints a string 10 times O(10)\n",
     "    '''\n",
-    "    print lst[0]\n",
+    "    print(lst[0])\n",
     "    \n",
-    "    midpoint = len(lst)/2\n",
+    "    midpoint = len(lst) // 2\n",
     "    \n",
     "    for val in lst[:midpoint]:\n",
-    "        print val\n",
+    "        print(val)\n",
     "        \n",
     "    for x in range(10):\n",
-    "        print 'number'"
+    "        print('number')"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 13,
    "metadata": {},
    "outputs": [
     {
@@ -334,10 +328,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 14,
+   "metadata": {},
    "outputs": [],
    "source": [
     "def matcher(lst,match):\n",
@@ -352,7 +344,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": 15,
    "metadata": {},
    "outputs": [
     {
@@ -361,7 +353,7 @@
        "[1, 2, 3, 4, 5, 6, 7, 8, 9, 10]"
       ]
      },
-     "execution_count": 21,
+     "execution_count": 15,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -372,7 +364,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": 16,
    "metadata": {},
    "outputs": [
     {
@@ -381,7 +373,7 @@
        "True"
       ]
      },
-     "execution_count": 22,
+     "execution_count": 16,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -392,7 +384,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": 17,
    "metadata": {},
    "outputs": [
     {
@@ -401,7 +393,7 @@
        "False"
       ]
      },
-     "execution_count": 24,
+     "execution_count": 17,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -427,10 +419,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 21,
+   "metadata": {},
    "outputs": [],
    "source": [
     "def printer(n=10):\n",
@@ -438,12 +428,12 @@
     "    Prints \"hello world!\" n times\n",
     "    '''\n",
     "    for x in range(n):\n",
-    "        print 'Hello World!'"
+    "        print('Hello World!')"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
+   "execution_count": 22,
    "metadata": {},
    "outputs": [
     {
@@ -478,10 +468,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 23,
+   "metadata": {},
    "outputs": [],
    "source": [
     "def create_list(n):\n",
@@ -495,7 +483,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 29,
+   "execution_count": 24,
    "metadata": {},
    "outputs": [
     {
@@ -507,7 +495,7 @@
     }
    ],
    "source": [
-    "print create_list(5)"
+    "print(create_list(5))"
    ]
   },
   {
@@ -550,7 +538,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.2"
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
diff --git a/Algorithm Analysis and Big O/Big O for Python Data Structures.ipynb b/01-Algorithm Analysis and Big O/04-Big O for Python Data Structures.ipynb
similarity index 91%
rename from Algorithm Analysis and Big O/Big O for Python Data Structures.ipynb
rename to 01-Algorithm Analysis and Big O/04-Big O for Python Data Structures.ipynb
index dd014176..cf92fa84 100644
--- a/Algorithm Analysis and Big O/Big O for Python Data Structures.ipynb	
+++ b/01-Algorithm Analysis and Big O/04-Big O for Python Data Structures.ipynb	
@@ -23,27 +23,25 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 3,
+   "metadata": {},
    "outputs": [],
    "source": [
     "def method1():\n",
     "    l = []\n",
-    "    for n in xrange(10000):\n",
+    "    for n in range(10000):\n",
     "        l = l + [n]\n",
     "\n",
     "def method2():\n",
     "    l = []\n",
-    "    for n in xrange(10000):\n",
+    "    for n in range(10000):\n",
     "        l.append(n)\n",
     "\n",
     "def method3():\n",
-    "    l = [n for n in xrange(10000)]\n",
+    "    l = [n for n in range(10000)]\n",
     "\n",
     "def method4():\n",
-    "    l = range(10000) # Python 3: list(range(10000))"
+    "    l = list(range(10000))"
    ]
   },
   {
@@ -55,17 +53,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "10 loops, best of 3: 162 ms per loop\n",
-      "1000 loops, best of 3: 820 µs per loop\n",
-      "1000 loops, best of 3: 307 µs per loop\n",
-      "10000 loops, best of 3: 77.7 µs per loop\n"
+      "184 ms ± 9.8 ms per loop (mean ± std. dev. of 7 runs, 1 loop each)\n",
+      "829 µs ± 125 µs per loop (mean ± std. dev. of 7 runs, 1000 loops each)\n",
+      "574 µs ± 134 µs per loop (mean ± std. dev. of 7 runs, 1000 loops each)\n",
+      "194 µs ± 11.8 µs per loop (mean ± std. dev. of 7 runs, 10000 loops each)\n"
      ]
     }
    ],
@@ -185,10 +183,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 5,
+   "metadata": {},
    "outputs": [],
    "source": [
     "d = {'k1':1,'k2':2}"
@@ -196,7 +192,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [
     {
@@ -205,7 +201,7 @@
        "1"
       ]
      },
-     "execution_count": 12,
+     "execution_count": 6,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -276,7 +272,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.2"
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
diff --git a/Algorithm Analysis and Big O/Algorithm Analysis and Big O Quiz.ipynb b/01-Algorithm Analysis and Big O/05-Algorithm Analysis and Big O Quiz.ipynb
similarity index 74%
rename from Algorithm Analysis and Big O/Algorithm Analysis and Big O Quiz.ipynb
rename to 01-Algorithm Analysis and Big O/05-Algorithm Analysis and Big O Quiz.ipynb
index 5f2b2c4f..84b0069a 100644
--- a/Algorithm Analysis and Big O/Algorithm Analysis and Big O Quiz.ipynb	
+++ b/01-Algorithm Analysis and Big O/05-Algorithm Analysis and Big O Quiz.ipynb	
@@ -10,23 +10,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.10"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Array Sequences/Introduction to Array Based Sequences.ipynb b/02-Array Sequences/.ipynb_checkpoints/01-Introduction to Array Based Sequences-checkpoint.ipynb
similarity index 86%
rename from Array Sequences/Introduction to Array Based Sequences.ipynb
rename to 02-Array Sequences/.ipynb_checkpoints/01-Introduction to Array Based Sequences-checkpoint.ipynb
index b9225c24..c24dc9b1 100644
--- a/Array Sequences/Introduction to Array Based Sequences.ipynb	
+++ b/02-Array Sequences/.ipynb_checkpoints/01-Introduction to Array Based Sequences-checkpoint.ipynb	
@@ -12,9 +12,7 @@
   {
    "cell_type": "code",
    "execution_count": 1,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -35,9 +33,7 @@
   {
    "cell_type": "code",
    "execution_count": 2,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -58,9 +54,7 @@
   {
    "cell_type": "code",
    "execution_count": 3,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -90,23 +84,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.10"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Array Sequences/Low Level Arrays.ipynb b/02-Array Sequences/.ipynb_checkpoints/02-Low Level Arrays-checkpoint.ipynb
similarity index 82%
rename from Array Sequences/Low Level Arrays.ipynb
rename to 02-Array Sequences/.ipynb_checkpoints/02-Low Level Arrays-checkpoint.ipynb
index e5ad10f9..2f7fe0c7 100644
--- a/Array Sequences/Low Level Arrays.ipynb	
+++ b/02-Array Sequences/.ipynb_checkpoints/02-Low Level Arrays-checkpoint.ipynb	
@@ -21,23 +21,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.10"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Array Sequences/Dynamic Array Exercise.ipynb b/02-Array Sequences/.ipynb_checkpoints/04-Dynamic Array Exercise-checkpoint.ipynb
similarity index 90%
rename from Array Sequences/Dynamic Array Exercise.ipynb
rename to 02-Array Sequences/.ipynb_checkpoints/04-Dynamic Array Exercise-checkpoint.ipynb
index 2b484bd7..8fc728ba 100644
--- a/Array Sequences/Dynamic Array Exercise.ipynb	
+++ b/02-Array Sequences/.ipynb_checkpoints/04-Dynamic Array Exercise-checkpoint.ipynb	
@@ -24,27 +24,23 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 1,
+   "metadata": {},
    "outputs": [],
    "source": [
     "class M(object):\n",
     "    \n",
     "    def public(self):\n",
-    "        print 'Use Tab to see me!'\n",
+    "        print('Use Tab to see me!')\n",
     "        \n",
     "    def _private(self):\n",
-    "        print \"You won't be able to Tab to see me!\""
+    "        print(\"You won't be able to Tab to see me!\")"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 2,
+   "metadata": {},
    "outputs": [],
    "source": [
     "m = M()"
@@ -52,7 +48,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [
     {
@@ -69,14 +65,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "You won't be able to see me!\n"
+      "You won't be able to Tab to see me!\n"
      ]
     }
    ],
@@ -96,7 +92,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 43,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -159,7 +155,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 44,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -169,7 +165,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 45,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -179,7 +175,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 46,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [
     {
@@ -188,7 +184,7 @@
        "1"
       ]
      },
-     "execution_count": 46,
+     "execution_count": 8,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -200,7 +196,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 47,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -210,7 +206,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 48,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [
     {
@@ -219,7 +215,7 @@
        "2"
       ]
      },
-     "execution_count": 48,
+     "execution_count": 10,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -231,7 +227,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 50,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [
     {
@@ -240,7 +236,7 @@
        "1"
       ]
      },
-     "execution_count": 50,
+     "execution_count": 11,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -252,7 +248,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 51,
+   "execution_count": 12,
    "metadata": {},
    "outputs": [
     {
@@ -261,7 +257,7 @@
        "2"
       ]
      },
-     "execution_count": 51,
+     "execution_count": 12,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -301,7 +297,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.2"
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
diff --git a/Array Sequences/Amortization.ipynb b/02-Array Sequences/.ipynb_checkpoints/05-Amortization-checkpoint.ipynb
similarity index 82%
rename from Array Sequences/Amortization.ipynb
rename to 02-Array Sequences/.ipynb_checkpoints/05-Amortization-checkpoint.ipynb
index d58ff51c..577a33aa 100644
--- a/Array Sequences/Amortization.ipynb	
+++ b/02-Array Sequences/.ipynb_checkpoints/05-Amortization-checkpoint.ipynb	
@@ -22,23 +22,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.10"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Array Sequences/Array Mini-Project.ipynb b/02-Array Sequences/.ipynb_checkpoints/06-Array Mini-Project-checkpoint.ipynb
similarity index 82%
rename from Array Sequences/Array Mini-Project.ipynb
rename to 02-Array Sequences/.ipynb_checkpoints/06-Array Mini-Project-checkpoint.ipynb
index 1a4dc652..14d016e4 100644
--- a/Array Sequences/Array Mini-Project.ipynb	
+++ b/02-Array Sequences/.ipynb_checkpoints/06-Array Mini-Project-checkpoint.ipynb	
@@ -23,23 +23,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.10"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Array Sequences/.ipynb_checkpoints/Amortization-checkpoint.ipynb b/02-Array Sequences/.ipynb_checkpoints/Amortization-checkpoint.ipynb
similarity index 100%
rename from Array Sequences/.ipynb_checkpoints/Amortization-checkpoint.ipynb
rename to 02-Array Sequences/.ipynb_checkpoints/Amortization-checkpoint.ipynb
diff --git a/Array Sequences/.ipynb_checkpoints/Array Mini-Project-checkpoint.ipynb b/02-Array Sequences/.ipynb_checkpoints/Array Mini-Project-checkpoint.ipynb
similarity index 100%
rename from Array Sequences/.ipynb_checkpoints/Array Mini-Project-checkpoint.ipynb
rename to 02-Array Sequences/.ipynb_checkpoints/Array Mini-Project-checkpoint.ipynb
diff --git a/Array Sequences/.ipynb_checkpoints/Dynamic Array Exercise-checkpoint.ipynb b/02-Array Sequences/.ipynb_checkpoints/Dynamic Array Exercise-checkpoint.ipynb
similarity index 100%
rename from Array Sequences/.ipynb_checkpoints/Dynamic Array Exercise-checkpoint.ipynb
rename to 02-Array Sequences/.ipynb_checkpoints/Dynamic Array Exercise-checkpoint.ipynb
diff --git a/Array Sequences/.ipynb_checkpoints/Dynamic Arrays-checkpoint.ipynb b/02-Array Sequences/.ipynb_checkpoints/Dynamic Arrays-checkpoint.ipynb
similarity index 100%
rename from Array Sequences/.ipynb_checkpoints/Dynamic Arrays-checkpoint.ipynb
rename to 02-Array Sequences/.ipynb_checkpoints/Dynamic Arrays-checkpoint.ipynb
diff --git a/Array Sequences/.ipynb_checkpoints/Introduction to Array Based Sequences-checkpoint.ipynb b/02-Array Sequences/.ipynb_checkpoints/Introduction to Array Based Sequences-checkpoint.ipynb
similarity index 100%
rename from Array Sequences/.ipynb_checkpoints/Introduction to Array Based Sequences-checkpoint.ipynb
rename to 02-Array Sequences/.ipynb_checkpoints/Introduction to Array Based Sequences-checkpoint.ipynb
diff --git a/Array Sequences/.ipynb_checkpoints/Low Level Arrays-checkpoint.ipynb b/02-Array Sequences/.ipynb_checkpoints/Low Level Arrays-checkpoint.ipynb
similarity index 100%
rename from Array Sequences/.ipynb_checkpoints/Low Level Arrays-checkpoint.ipynb
rename to 02-Array Sequences/.ipynb_checkpoints/Low Level Arrays-checkpoint.ipynb
diff --git a/02-Array Sequences/01-Introduction to Array Based Sequences.ipynb b/02-Array Sequences/01-Introduction to Array Based Sequences.ipynb
new file mode 100644
index 00000000..c24dc9b1
--- /dev/null
+++ b/02-Array Sequences/01-Introduction to Array Based Sequences.ipynb	
@@ -0,0 +1,106 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Introduction to Array Based Sequences\n",
+    "\n",
+    "In this lecture, we will get a brief overview of the \"sequence\" type object classes available in Python. These are mainly the **list**,**tuple**, and **string** objects. The main commonaility between these object types is the ability to index to access individual elements in the sequence. For example:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "1"
+      ]
+     },
+     "execution_count": 1,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "l = [1,2,3]\n",
+    "l[0]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "1"
+      ]
+     },
+     "execution_count": 2,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "t = (1,2,3)\n",
+    "t[0]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'1'"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "s = '123'\n",
+    "s[0]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Please refer to the video lecture for the remaining information.\n",
+    "## The section consists mostly of video explanations not well-suited for Jupyter Notebooks.\n",
+    "# Thanks!"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 1
+}
diff --git a/02-Array Sequences/02-Low Level Arrays.ipynb b/02-Array Sequences/02-Low Level Arrays.ipynb
new file mode 100644
index 00000000..2f7fe0c7
--- /dev/null
+++ b/02-Array Sequences/02-Low Level Arrays.ipynb	
@@ -0,0 +1,43 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Low Level Arrays"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "collapsed": true
+   },
+   "source": [
+    "## Please refer to the video lecture for the remaining information.\n",
+    "## The section consists mostly of video explanations not well-suited for Jupyter Notebooks.\n",
+    "# Thanks!"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 1
+}
diff --git a/Array Sequences/Dynamic Arrays.ipynb b/02-Array Sequences/03-Dynamic Array.ipynb
similarity index 100%
rename from Array Sequences/Dynamic Arrays.ipynb
rename to 02-Array Sequences/03-Dynamic Array.ipynb
diff --git a/02-Array Sequences/04-Dynamic Array Exercise.ipynb b/02-Array Sequences/04-Dynamic Array Exercise.ipynb
new file mode 100644
index 00000000..8fc728ba
--- /dev/null
+++ b/02-Array Sequences/04-Dynamic Array Exercise.ipynb	
@@ -0,0 +1,305 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Dynamic Array Exercise\n",
+    "____\n",
+    "\n",
+    "In this exercise we will create our own Dynamic Array class!\n",
+    "\n",
+    "We'll be using a built in library called [ctypes](https://docs.python.org/2/library/ctypes.html). Check out the documentation for more info, but its basically going to be used here as a raw array from the ctypes module.\n",
+    "If you find yourself very interested in it, check out: [Ctypes Tutorial](http://starship.python.net/crew/theller/ctypes/tutorial.html)\n",
+    "\n",
+    "Also..."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "**A quick note on public vs private methods, we can use an underscore _ before the method name to keep it non-public. For example:**"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "class M(object):\n",
+    "    \n",
+    "    def public(self):\n",
+    "        print('Use Tab to see me!')\n",
+    "        \n",
+    "    def _private(self):\n",
+    "        print(\"You won't be able to Tab to see me!\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "m = M()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Use Tab to see me!\n"
+     ]
+    }
+   ],
+   "source": [
+    "m.public()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "You won't be able to Tab to see me!\n"
+     ]
+    }
+   ],
+   "source": [
+    "m._private()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Check out PEP 8 and the Python docs for more info on this!\n",
+    "_____\n",
+    "\n",
+    "### Dynamic Array Implementation"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import ctypes\n",
+    "\n",
+    "class DynamicArray(object):\n",
+    "    '''\n",
+    "    DYNAMIC ARRAY CLASS (Similar to Python List)\n",
+    "    '''\n",
+    "    \n",
+    "    def __init__(self):\n",
+    "        self.n = 0 # Count actual elements (Default is 0)\n",
+    "        self.capacity = 1 # Default Capacity\n",
+    "        self.A = self.make_array(self.capacity)\n",
+    "        \n",
+    "    def __len__(self):\n",
+    "        \"\"\"\n",
+    "        Return number of elements sorted in array\n",
+    "        \"\"\"\n",
+    "        return self.n\n",
+    "    \n",
+    "    def __getitem__(self,k):\n",
+    "        \"\"\"\n",
+    "        Return element at index k\n",
+    "        \"\"\"\n",
+    "        if not 0 <= k <self.n:\n",
+    "            return IndexError('K is out of bounds!') # Check it k index is in bounds of array\n",
+    "        \n",
+    "        return self.A[k] #Retrieve from array at index k\n",
+    "        \n",
+    "    def append(self, ele):\n",
+    "        \"\"\"\n",
+    "        Add element to end of the array\n",
+    "        \"\"\"\n",
+    "        if self.n == self.capacity:\n",
+    "            self._resize(2*self.capacity) #Double capacity if not enough room\n",
+    "        \n",
+    "        self.A[self.n] = ele #Set self.n index to element\n",
+    "        self.n += 1\n",
+    "        \n",
+    "    def _resize(self,new_cap):\n",
+    "        \"\"\"\n",
+    "        Resize internal array to capacity new_cap\n",
+    "        \"\"\"\n",
+    "        \n",
+    "        B = self.make_array(new_cap) # New bigger array\n",
+    "        \n",
+    "        for k in range(self.n): # Reference all existing values\n",
+    "            B[k] = self.A[k]\n",
+    "            \n",
+    "        self.A = B # Call A the new bigger array\n",
+    "        self.capacity = new_cap # Reset the capacity\n",
+    "        \n",
+    "    def make_array(self,new_cap):\n",
+    "        \"\"\"\n",
+    "        Returns a new array with new_cap capacity\n",
+    "        \"\"\"\n",
+    "        return (new_cap * ctypes.py_object)()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Instantiate\n",
+    "arr = DynamicArray()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Append new element\n",
+    "arr.append(1)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "1"
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Check length\n",
+    "len(arr)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Append new element\n",
+    "arr.append(2)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "2"
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Check length\n",
+    "len(arr)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "1"
+      ]
+     },
+     "execution_count": 11,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Index\n",
+    "arr[0]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "2"
+      ]
+     },
+     "execution_count": 12,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "arr[1]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Awesome, we made our own dynamic array! Play around with it and see how it auto-resizes. Try using the same **sys.getsizeof()** function we worked with previously!"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Great Job!"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 1
+}
diff --git a/02-Array Sequences/05-Amortization.ipynb b/02-Array Sequences/05-Amortization.ipynb
new file mode 100644
index 00000000..577a33aa
--- /dev/null
+++ b/02-Array Sequences/05-Amortization.ipynb	
@@ -0,0 +1,44 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Amortization"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "collapsed": true
+   },
+   "source": [
+    "___\n",
+    "## Please refer to the video lecture for the remaining information.\n",
+    "## The section consists mostly of video explanations not well-suited for Jupyter Notebooks.\n",
+    "# Thanks!"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 1
+}
diff --git a/02-Array Sequences/06-Array Mini-Project.ipynb b/02-Array Sequences/06-Array Mini-Project.ipynb
new file mode 100644
index 00000000..14d016e4
--- /dev/null
+++ b/02-Array Sequences/06-Array Mini-Project.ipynb	
@@ -0,0 +1,45 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "collapsed": true
+   },
+   "source": [
+    "# Array Mini-Project\n",
+    "\n",
+    "In this mini project we will create our own scoreboard project to understand arrays better!"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 1
+}
diff --git a/Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/Anagram Check .ipynb b/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/.ipynb_checkpoints/01-Anagram Check -checkpoint.ipynb
similarity index 80%
rename from Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/Anagram Check .ipynb
rename to 02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/.ipynb_checkpoints/01-Anagram Check -checkpoint.ipynb
index eac9c379..763de1cd 100644
--- a/Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/Anagram Check .ipynb	
+++ b/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/.ipynb_checkpoints/01-Anagram Check -checkpoint.ipynb	
@@ -25,7 +25,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 30,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -64,7 +64,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [
     {
@@ -73,7 +73,7 @@
        "True"
       ]
      },
-     "execution_count": 23,
+     "execution_count": 2,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -84,7 +84,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [
     {
@@ -93,7 +93,7 @@
        "True"
       ]
      },
-     "execution_count": 24,
+     "execution_count": 3,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -104,7 +104,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [
     {
@@ -113,7 +113,7 @@
        "False"
       ]
      },
-     "execution_count": 25,
+     "execution_count": 4,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -132,7 +132,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 29,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [
     {
@@ -166,14 +166,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 45,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [
     {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "ALL TEST CASES PASSED\n"
+     "ename": "NameError",
+     "evalue": "name 'anagram2' is not defined",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
+      "\u001b[0;32m<ipython-input-6-10b6a5a934e9>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtest\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0managram2\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
+      "\u001b[0;31mNameError\u001b[0m: name 'anagram2' is not defined"
      ]
     }
    ],
@@ -205,7 +209,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.2"
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
diff --git a/Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/Array Pair Sum .ipynb b/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/.ipynb_checkpoints/02-Array Pair Sum -checkpoint.ipynb
similarity index 96%
rename from Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/Array Pair Sum .ipynb
rename to 02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/.ipynb_checkpoints/02-Array Pair Sum -checkpoint.ipynb
index 36525741..e244d06a 100644
--- a/Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/Array Pair Sum .ipynb	
+++ b/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/.ipynb_checkpoints/02-Array Pair Sum -checkpoint.ipynb	
@@ -28,7 +28,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -46,7 +46,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [
     {
@@ -55,7 +55,7 @@
        "2"
       ]
      },
-     "execution_count": 14,
+     "execution_count": 2,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -73,7 +73,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [
     {
@@ -128,7 +128,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.2"
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
diff --git a/Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/Find the Missing Element .ipynb b/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/.ipynb_checkpoints/03-Find the Missing Element -checkpoint.ipynb
similarity index 88%
rename from Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/Find the Missing Element .ipynb
rename to 02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/.ipynb_checkpoints/03-Find the Missing Element -checkpoint.ipynb
index 78327449..941ad803 100644
--- a/Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/Find the Missing Element .ipynb	
+++ b/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/.ipynb_checkpoints/03-Find the Missing Element -checkpoint.ipynb	
@@ -27,7 +27,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -43,23 +43,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "28\n"
-     ]
-    },
     {
      "data": {
       "text/plain": [
        "5"
       ]
      },
-     "execution_count": 10,
+     "execution_count": 2,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -72,23 +65,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "24\n"
-     ]
-    },
     {
      "data": {
       "text/plain": [
        "5"
       ]
      },
-     "execution_count": 11,
+     "execution_count": 3,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -116,16 +102,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "24\n",
-      "28\n",
-      "45\n",
       "ALL TEST CASES PASSED\n"
      ]
     }
@@ -173,7 +156,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.2"
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
diff --git a/Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/Largest Continuous Sum .ipynb b/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/.ipynb_checkpoints/04-Largest Continuous Sum -checkpoint.ipynb
similarity index 95%
rename from Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/Largest Continuous Sum .ipynb
rename to 02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/.ipynb_checkpoints/04-Largest Continuous Sum -checkpoint.ipynb
index be1f654d..46da44ba 100644
--- a/Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/Largest Continuous Sum .ipynb	
+++ b/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/.ipynb_checkpoints/04-Largest Continuous Sum -checkpoint.ipynb	
@@ -16,7 +16,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -35,7 +35,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [
     {
@@ -44,7 +44,7 @@
        "29"
       ]
      },
-     "execution_count": 26,
+     "execution_count": 2,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -70,7 +70,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 28,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [
     {
@@ -120,7 +120,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.2"
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
diff --git a/Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/Sentence Reversal.ipynb b/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/.ipynb_checkpoints/05-Sentence Reversal-checkpoint.ipynb
similarity index 93%
rename from Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/Sentence Reversal.ipynb
rename to 02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/.ipynb_checkpoints/05-Sentence Reversal-checkpoint.ipynb
index f1ce5f7a..2932e34f 100644
--- a/Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/Sentence Reversal.ipynb	
+++ b/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/.ipynb_checkpoints/05-Sentence Reversal-checkpoint.ipynb	
@@ -33,7 +33,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -44,7 +44,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [
     {
@@ -53,7 +53,7 @@
        "'go? to ready you are John, Hi'"
       ]
      },
-     "execution_count": 26,
+     "execution_count": 2,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -64,7 +64,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [
     {
@@ -73,7 +73,7 @@
        "'before space'"
       ]
      },
-     "execution_count": 27,
+     "execution_count": 3,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -84,7 +84,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 28,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [
     {
@@ -93,7 +93,7 @@
        "'after space'"
       ]
      },
-     "execution_count": 28,
+     "execution_count": 4,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -114,7 +114,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 32,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [
     {
@@ -123,7 +123,7 @@
        "'\\nInit signature: reversed(self, /, *args, **kwargs)\\nDocstring:     \\nreversed(sequence) -> reverse iterator over values of the sequence\\n\\nReturn a reverse iterator\\nType:           type\\n'"
       ]
      },
-     "execution_count": 32,
+     "execution_count": 5,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -156,7 +156,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 29,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [
     {
@@ -212,7 +212,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.2"
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
diff --git a/Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/String Compression .ipynb b/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/.ipynb_checkpoints/06-String Compression -checkpoint.ipynb
similarity index 95%
rename from Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/String Compression .ipynb
rename to 02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/.ipynb_checkpoints/06-String Compression -checkpoint.ipynb
index 00ca41f5..7e2d6929 100644
--- a/Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/String Compression .ipynb	
+++ b/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/.ipynb_checkpoints/06-String Compression -checkpoint.ipynb	
@@ -23,7 +23,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -54,7 +54,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [
     {
@@ -63,7 +63,7 @@
        "'A5B4C4'"
       ]
      },
-     "execution_count": 11,
+     "execution_count": 2,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -81,7 +81,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [
     {
@@ -135,7 +135,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.2"
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
diff --git a/Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/Unique Characters in String.ipynb b/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/.ipynb_checkpoints/07-Unique Characters in String-checkpoint.ipynb
similarity index 96%
rename from Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/Unique Characters in String.ipynb
rename to 02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/.ipynb_checkpoints/07-Unique Characters in String-checkpoint.ipynb
index e844d767..b565a980 100644
--- a/Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/Unique Characters in String.ipynb	
+++ b/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/.ipynb_checkpoints/07-Unique Characters in String-checkpoint.ipynb	
@@ -20,7 +20,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -44,7 +44,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -63,7 +63,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [
     {
@@ -118,7 +118,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.2"
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
diff --git a/Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/.ipynb_checkpoints/Anagram Check -checkpoint.ipynb b/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/.ipynb_checkpoints/Anagram Check -checkpoint.ipynb
similarity index 100%
rename from Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/.ipynb_checkpoints/Anagram Check -checkpoint.ipynb
rename to 02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/.ipynb_checkpoints/Anagram Check -checkpoint.ipynb
diff --git a/Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/.ipynb_checkpoints/Array Pair Sum -checkpoint.ipynb b/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/.ipynb_checkpoints/Array Pair Sum -checkpoint.ipynb
similarity index 100%
rename from Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/.ipynb_checkpoints/Array Pair Sum -checkpoint.ipynb
rename to 02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/.ipynb_checkpoints/Array Pair Sum -checkpoint.ipynb
diff --git a/Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/.ipynb_checkpoints/Find the Missing Element -checkpoint.ipynb b/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/.ipynb_checkpoints/Find the Missing Element -checkpoint.ipynb
similarity index 100%
rename from Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/.ipynb_checkpoints/Find the Missing Element -checkpoint.ipynb
rename to 02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/.ipynb_checkpoints/Find the Missing Element -checkpoint.ipynb
diff --git a/Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/.ipynb_checkpoints/Largest Continuous Sum -checkpoint.ipynb b/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/.ipynb_checkpoints/Largest Continuous Sum -checkpoint.ipynb
similarity index 100%
rename from Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/.ipynb_checkpoints/Largest Continuous Sum -checkpoint.ipynb
rename to 02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/.ipynb_checkpoints/Largest Continuous Sum -checkpoint.ipynb
diff --git a/Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/.ipynb_checkpoints/Sentence Reversal-checkpoint.ipynb b/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/.ipynb_checkpoints/Sentence Reversal-checkpoint.ipynb
similarity index 100%
rename from Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/.ipynb_checkpoints/Sentence Reversal-checkpoint.ipynb
rename to 02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/.ipynb_checkpoints/Sentence Reversal-checkpoint.ipynb
diff --git a/Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/.ipynb_checkpoints/String Compression -checkpoint.ipynb b/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/.ipynb_checkpoints/String Compression -checkpoint.ipynb
similarity index 100%
rename from Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/.ipynb_checkpoints/String Compression -checkpoint.ipynb
rename to 02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/.ipynb_checkpoints/String Compression -checkpoint.ipynb
diff --git a/Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/.ipynb_checkpoints/Unique Characters in String-checkpoint.ipynb b/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/.ipynb_checkpoints/Unique Characters in String-checkpoint.ipynb
similarity index 100%
rename from Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/.ipynb_checkpoints/Unique Characters in String-checkpoint.ipynb
rename to 02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/.ipynb_checkpoints/Unique Characters in String-checkpoint.ipynb
diff --git a/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/01-Anagram Check .ipynb b/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/01-Anagram Check .ipynb
new file mode 100644
index 00000000..763de1cd
--- /dev/null
+++ b/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/01-Anagram Check .ipynb	
@@ -0,0 +1,217 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Anagram Check\n",
+    "\n",
+    "## Problem\n",
+    "\n",
+    "Given two strings, check to see if they are anagrams. An anagram is when the two strings can be written using the exact same letters (so you can just rearrange the letters to get a different phrase or word). \n",
+    "\n",
+    "For example:\n",
+    "\n",
+    "    \"public relations\" is an anagram of \"crap built on lies.\"\n",
+    "    \n",
+    "    \"clint eastwood\" is an anagram of \"old west action\"\n",
+    "    \n",
+    "**Note: Ignore spaces and capitalization. So \"d go\" is an anagram of \"God\" and \"dog\" and \"o d g\".**\n",
+    "\n",
+    "## Solution\n",
+    "\n",
+    "Fill out your solution below:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# 242. Valid Anagram(https://leetcode.com/problems/valid-anagram/description/)\n",
+    "def anagram(s, t):\n",
+    "    \"\"\"\n",
+    "    :type s: str\n",
+    "    :type t: str\n",
+    "    :rtype: bool\n",
+    "    \"\"\"\n",
+    "    s=s.replace(' ','').lower()\n",
+    "    t=t.replace(' ','').lower()\n",
+    "    \n",
+    "    if(len(s)!=len(t)):\n",
+    "        return False\n",
+    "    counter = {}\n",
+    "    for letter in s:\n",
+    "        if letter in counter:\n",
+    "            counter[letter] += 1\n",
+    "        else:\n",
+    "            counter[letter] = 1\n",
+    "\n",
+    "    for letter in t:\n",
+    "        if letter in counter:\n",
+    "            counter[letter] -= 1\n",
+    "        else:\n",
+    "            return False\n",
+    "\n",
+    "    for k in counter:\n",
+    "        if counter[k]!=0:\n",
+    "          return False\n",
+    "    \n",
+    "    return True\n",
+    "    pass"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "True"
+      ]
+     },
+     "execution_count": 2,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "anagram('dog','god')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "True"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "anagram('clint eastwood','old west action')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "False"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "anagram('aa','bb')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Test Your Solution\n",
+    "Run the cell below to test your solution"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "ALL TEST CASES PASSED\n"
+     ]
+    }
+   ],
+   "source": [
+    "\"\"\"\n",
+    "RUN THIS CELL TO TEST YOUR SOLUTION\n",
+    "\"\"\"\n",
+    "from nose.tools import assert_equal\n",
+    "\n",
+    "class AnagramTest(object):\n",
+    "    \n",
+    "    def test(self,sol):\n",
+    "        assert_equal(sol('go go go','gggooo'),True)\n",
+    "        assert_equal(sol('abc','cba'),True)\n",
+    "        assert_equal(sol('hi man','hi     man'),True)\n",
+    "        assert_equal(sol('aabbcc','aabbc'),False)\n",
+    "        assert_equal(sol('123','1 2'),False)\n",
+    "        print('ALL TEST CASES PASSED')\n",
+    "\n",
+    "# Run Tests\n",
+    "t = AnagramTest()\n",
+    "t.test(anagram)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "ename": "NameError",
+     "evalue": "name 'anagram2' is not defined",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
+      "\u001b[0;32m<ipython-input-6-10b6a5a934e9>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtest\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0managram2\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
+      "\u001b[0;31mNameError\u001b[0m: name 'anagram2' is not defined"
+     ]
+    }
+   ],
+   "source": [
+    "t.test(anagram2)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Good Job!"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 1
+}
diff --git a/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/02-Array Pair Sum .ipynb b/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/02-Array Pair Sum .ipynb
new file mode 100644
index 00000000..e244d06a
--- /dev/null
+++ b/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/02-Array Pair Sum .ipynb	
@@ -0,0 +1,136 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Array Pair Sum\n",
+    "\n",
+    "## Problem\n",
+    "\n",
+    "Given an integer array, output all the ** *unique* ** pairs that sum up to a specific value **k**.\n",
+    "\n",
+    "So the input:\n",
+    "    \n",
+    "    pair_sum([1,3,2,2],4)\n",
+    "\n",
+    "would return **2** pairs:\n",
+    "\n",
+    "     (1,3)\n",
+    "     (2,2)\n",
+    "\n",
+    "**NOTE: FOR TESTING PURPOSES CHANGE YOUR FUNCTION SO IT OUTPUTS THE NUMBER OF PAIRS**\n",
+    "\n",
+    "## Solution\n",
+    "\n",
+    "Fill out your solution below:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def pair_sum(arr,k):\n",
+    "    counter = 0\n",
+    "    lookup = set()\n",
+    "    for num in arr:\n",
+    "        if k-num in lookup:\n",
+    "            counter+=1\n",
+    "        else:\n",
+    "            lookup.add(num)\n",
+    "    return counter\n",
+    "    pass"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "2"
+      ]
+     },
+     "execution_count": 2,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "pair_sum([1,3,2,2],4)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Test Your Solution"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "ALL TEST CASES PASSED\n"
+     ]
+    }
+   ],
+   "source": [
+    "\"\"\"\n",
+    "RUN THIS CELL TO TEST YOUR SOLUTION\n",
+    "\"\"\"\n",
+    "from nose.tools import assert_equal\n",
+    "\n",
+    "class TestPair(object):\n",
+    "    \n",
+    "    def test(self,sol):\n",
+    "        assert_equal(sol([1,9,2,8,3,7,4,6,5,5,13,14,11,13,-1],10),6)\n",
+    "        assert_equal(sol([1,2,3,1],3),1)\n",
+    "        assert_equal(sol([1,3,2,2],4),2)\n",
+    "        print('ALL TEST CASES PASSED')\n",
+    "        \n",
+    "#Run tests\n",
+    "t = TestPair()\n",
+    "t.test(pair_sum)\n",
+    "    "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Good Job!"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 1
+}
diff --git a/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/03-Find the Missing Element .ipynb b/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/03-Find the Missing Element .ipynb
new file mode 100644
index 00000000..941ad803
--- /dev/null
+++ b/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/03-Find the Missing Element .ipynb	
@@ -0,0 +1,164 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Find the Missing Element\n",
+    "\n",
+    "## Problem\n",
+    "\n",
+    "Consider an array of non-negative integers. A second array is formed by shuffling the elements of the first array and deleting a random element. Given these two arrays, find which element is missing in the second array. \n",
+    "\n",
+    "Here is an example input, the first array is shuffled and the number 5 is removed to construct the second array.\n",
+    "\n",
+    "Input:\n",
+    "    \n",
+    "    finder([1,2,3,4,5,6,7],[3,7,2,1,4,6])\n",
+    "\n",
+    "Output:\n",
+    "\n",
+    "    5 is the missing number\n",
+    "\n",
+    "## Solution\n",
+    "\n",
+    "Fill out your solution below:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def finder(arr1,arr2):\n",
+    "    num = 0\n",
+    "    for n in arr1:\n",
+    "        num += n\n",
+    "    for n in arr2:\n",
+    "        num -= n\n",
+    "    return num\n",
+    "    pass"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "5"
+      ]
+     },
+     "execution_count": 2,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "arr1 = [1,2,3,4,5,6,7]\n",
+    "arr2 = [3,7,2,1,4,6]\n",
+    "finder(arr1,arr2)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "5"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "arr1 = [5,5,7,7]\n",
+    "arr2 = [5,7,7]\n",
+    "\n",
+    "finder(arr1,arr2)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "_____"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Test Your Solution"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "ALL TEST CASES PASSED\n"
+     ]
+    }
+   ],
+   "source": [
+    "\"\"\"\n",
+    "RUN THIS CELL TO TEST YOUR SOLUTION\n",
+    "\"\"\"\n",
+    "from nose.tools import assert_equal\n",
+    "\n",
+    "class TestFinder(object):\n",
+    "    \n",
+    "    def test(self,sol):\n",
+    "        assert_equal(sol([5,5,7,7],[5,7,7]),5)\n",
+    "        assert_equal(sol([1,2,3,4,5,6,7],[3,7,2,1,4,6]),5)\n",
+    "        assert_equal(sol([9,8,7,6,5,4,3,2,1],[9,8,7,5,4,3,2,1]),6)\n",
+    "        print('ALL TEST CASES PASSED')\n",
+    "\n",
+    "# Run test\n",
+    "t = TestFinder()\n",
+    "t.test(finder)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Good Job!"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 1
+}
diff --git a/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/04-Largest Continuous Sum .ipynb b/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/04-Largest Continuous Sum .ipynb
new file mode 100644
index 00000000..46da44ba
--- /dev/null
+++ b/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/04-Largest Continuous Sum .ipynb	
@@ -0,0 +1,128 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Largest Continuous Sum\n",
+    "\n",
+    "## Problem\n",
+    "Given an array of integers (positive and negative) find the largest continuous sum. \n",
+    "\n",
+    "## Solution\n",
+    "\n",
+    "Fill out your solution below:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def large_cont_sum(arr):\n",
+    "    if len(arr) == 0:\n",
+    "        return 0\n",
+    "    \n",
+    "    max_num = sum = arr[0]# max=sum=arr[0] bug: TypeError: 'int' object is not callable. (Do not use the keyword!)\n",
+    "    \n",
+    "    for n in arr[1:]:\n",
+    "        sum = max(sum+n, n)\n",
+    "        max_num = max(sum, max_num)\n",
+    "    return max_num\n",
+    "    pass"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "29"
+      ]
+     },
+     "execution_count": 2,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "large_cont_sum([1,2,-1,3,4,10,10,-10,-1])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "____\n",
+    "Many times in an interview setting the question also requires you to report back the start and end points of the sum. Keep this in mind and see if you can solve that problem, we'll see it in the mock interview section of the course!"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Test Your Solution"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "ALL TEST CASES PASSED\n"
+     ]
+    }
+   ],
+   "source": [
+    "from nose.tools import assert_equal\n",
+    "\n",
+    "class LargeContTest(object):\n",
+    "    def test(self,sol):\n",
+    "        assert_equal(sol([1,2,-1,3,4,-1]),9)\n",
+    "        assert_equal(sol([1,2,-1,3,4,10,10,-10,-1]),29)\n",
+    "        assert_equal(sol([-1,1]),1)\n",
+    "        print ('ALL TEST CASES PASSED')\n",
+    "        \n",
+    "#Run Test\n",
+    "t = LargeContTest()\n",
+    "t.test(large_cont_sum)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Good Job!"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 1
+}
diff --git a/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/05-Sentence Reversal.ipynb b/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/05-Sentence Reversal.ipynb
new file mode 100644
index 00000000..2932e34f
--- /dev/null
+++ b/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/05-Sentence Reversal.ipynb	
@@ -0,0 +1,220 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Sentence Reversal\n",
+    "\n",
+    "## Problem\n",
+    "\n",
+    "Given a string of words, reverse all the words. For example:\n",
+    "\n",
+    "Given:\n",
+    "    \n",
+    "    'This is the best'\n",
+    "\n",
+    "Return:\n",
+    "\n",
+    "    'best the is This'\n",
+    "\n",
+    "As part of this exercise you should remove all leading and trailing whitespace. So that inputs such as:\n",
+    "\n",
+    "    '  space here'  and 'space here      '\n",
+    "\n",
+    "both become:\n",
+    "\n",
+    "    'here space'\n",
+    "\n",
+    "## Solution\n",
+    "\n",
+    "Fill out your solution below:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def rev_word(s):\n",
+    "    return \" \".join(reversed(s.split()))\n",
+    "    pass"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'go? to ready you are John, Hi'"
+      ]
+     },
+     "execution_count": 2,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "rev_word('Hi John,   are you ready to go?')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'before space'"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "rev_word('    space before')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'after space'"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "rev_word('space after     ')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Learn\n",
+    "- \" \".join()\n",
+    "- reversed()\n",
+    "- s.split()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'\\nInit signature: reversed(self, /, *args, **kwargs)\\nDocstring:     \\nreversed(sequence) -> reverse iterator over values of the sequence\\n\\nReturn a reverse iterator\\nType:           type\\n'"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# reversed()\n",
+    "'''\n",
+    "Init signature: reversed(self, /, *args, **kwargs)\n",
+    "Docstring:     \n",
+    "reversed(sequence) -> reverse iterator over values of the sequence\n",
+    "\n",
+    "Return a reverse iterator\n",
+    "Type:           type\n",
+    "'''"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "_____"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Test Your Solution"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "ALL TEST CASES PASSED\n"
+     ]
+    }
+   ],
+   "source": [
+    "\"\"\"\n",
+    "RUN THIS CELL TO TEST YOUR SOLUTION\n",
+    "\"\"\"\n",
+    "\n",
+    "from nose.tools import assert_equal\n",
+    "\n",
+    "class ReversalTest(object):\n",
+    "    \n",
+    "    def test(self,sol):\n",
+    "        assert_equal(sol('    space before'),'before space')\n",
+    "        assert_equal(sol('space after     '),'after space')\n",
+    "        assert_equal(sol('   Hello John    how are you   '),'you are how John Hello')\n",
+    "        assert_equal(sol('1'),'1')\n",
+    "        print (\"ALL TEST CASES PASSED\")\n",
+    "        \n",
+    "# Run and test\n",
+    "t = ReversalTest()\n",
+    "t.test(rev_word)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Good Job!"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 1
+}
diff --git a/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/06-String Compression .ipynb b/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/06-String Compression .ipynb
new file mode 100644
index 00000000..7e2d6929
--- /dev/null
+++ b/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/06-String Compression .ipynb	
@@ -0,0 +1,143 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# String Compression\n",
+    "\n",
+    "## Problem\n",
+    "\n",
+    "Given a string in the form 'AAAABBBBCCCCCDDEEEE' compress it to become 'A4B4C5D2E4'. For this problem, you can falsely \"compress\" strings of single or double letters. For instance, it is okay for 'AAB' to return 'A2B1' even though this technically takes more space. \n",
+    "\n",
+    "The function should also be case sensitive, so that a string 'AAAaaa' returns 'A3a3'."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Solution\n",
+    "Fill out your solution below:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def compress(s):\n",
+    "    r = \"\"\n",
+    "    l = len(s)\n",
+    "    \n",
+    "    if l==0:\n",
+    "        return ''\n",
+    "    if l==1:\n",
+    "        return s+'1'\n",
+    "    \n",
+    "    last = s[0]\n",
+    "    cnt = 1\n",
+    "    i=1\n",
+    "    \n",
+    "    while i<l:\n",
+    "        if s[i]==s[i-1]:\n",
+    "            cnt += 1\n",
+    "        else:\n",
+    "            r=r+s[i-1]+str(cnt)\n",
+    "            cnt=1\n",
+    "        i+=1\n",
+    "    r = r+s[i-1]+str(cnt)\n",
+    "    return r\n",
+    "    pass"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'A5B4C4'"
+      ]
+     },
+     "execution_count": 2,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "compress('AAAAABBBBCCCC')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Test Your Solution"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "ALL TEST CASES PASSED\n"
+     ]
+    }
+   ],
+   "source": [
+    "\"\"\"\n",
+    "RUN THIS CELL TO TEST YOUR SOLUTION\n",
+    "\"\"\"\n",
+    "from nose.tools import assert_equal\n",
+    "\n",
+    "class TestCompress(object):\n",
+    "\n",
+    "    def test(self, sol):\n",
+    "        assert_equal(sol(''), '')\n",
+    "        assert_equal(sol('AABBCC'), 'A2B2C2')\n",
+    "        assert_equal(sol('AAABCCDDDDD'), 'A3B1C2D5')\n",
+    "        print ('ALL TEST CASES PASSED')\n",
+    "\n",
+    "# Run Tests\n",
+    "t = TestCompress()\n",
+    "t.test(compress)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Good Job!"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 1
+}
diff --git a/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/07-Unique Characters in String.ipynb b/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/07-Unique Characters in String.ipynb
new file mode 100644
index 00000000..b565a980
--- /dev/null
+++ b/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/07-Unique Characters in String.ipynb	
@@ -0,0 +1,126 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Unique Characters in String\n",
+    "\n",
+    "## Problem\n",
+    "Given a string,determine if it is compreised of all unique characters. For example, the string 'abcde' has all unique characters and should return True. The string 'aabcde' contains duplicate characters and should return false."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Solution\n",
+    "Fill out your solution below:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def uni_char(s):\n",
+    "    u = set()\n",
+    "    for c in s:\n",
+    "        if c in u:\n",
+    "            return False\n",
+    "        else:\n",
+    "            u.add(c)\n",
+    "    return True\n",
+    "    pass"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Learn This One Line Solution"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# another 1-line solution\n",
+    "def uni_char2(s):\n",
+    "    return len(set(s)) == len(s)\n",
+    "    pass"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Test Your Solution"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "ALL TEST CASES PASSED\n"
+     ]
+    }
+   ],
+   "source": [
+    "\"\"\"\n",
+    "RUN THIS CELL TO TEST YOUR CODE>\n",
+    "\"\"\"\n",
+    "from nose.tools import assert_equal\n",
+    "\n",
+    "\n",
+    "class TestUnique(object):\n",
+    "\n",
+    "    def test(self, sol):\n",
+    "        assert_equal(sol(''), True)\n",
+    "        assert_equal(sol('goo'), False)\n",
+    "        assert_equal(sol('abcdefg'), True)\n",
+    "        print ('ALL TEST CASES PASSED')\n",
+    "        \n",
+    "# Run Tests\n",
+    "t = TestUnique()\n",
+    "t.test(uni_char)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Good Job!"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 1
+}
diff --git a/Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/Anagram Check - SOLUTION.ipynb b/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/.ipynb_checkpoints/01-Anagram Check - SOLUTION-checkpoint.ipynb
similarity index 93%
rename from Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/Anagram Check - SOLUTION.ipynb
rename to 02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/.ipynb_checkpoints/01-Anagram Check - SOLUTION-checkpoint.ipynb
index 91e7d3d2..c84b3a9c 100644
--- a/Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/Anagram Check - SOLUTION.ipynb	
+++ b/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/.ipynb_checkpoints/01-Anagram Check - SOLUTION-checkpoint.ipynb	
@@ -27,7 +27,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -43,7 +43,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [
     {
@@ -52,7 +52,7 @@
        "True"
       ]
      },
-     "execution_count": 27,
+     "execution_count": 2,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -63,7 +63,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 34,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [
     {
@@ -72,7 +72,7 @@
        "True"
       ]
      },
-     "execution_count": 34,
+     "execution_count": 3,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -83,7 +83,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 35,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [
     {
@@ -92,7 +92,7 @@
        "False"
       ]
      },
-     "execution_count": 35,
+     "execution_count": 4,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -110,7 +110,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 37,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -154,7 +154,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 38,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [
     {
@@ -163,7 +163,7 @@
        "True"
       ]
      },
-     "execution_count": 38,
+     "execution_count": 6,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -174,7 +174,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 39,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [
     {
@@ -183,7 +183,7 @@
        "True"
       ]
      },
-     "execution_count": 39,
+     "execution_count": 7,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -194,7 +194,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 41,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [
     {
@@ -203,7 +203,7 @@
        "False"
       ]
      },
-     "execution_count": 41,
+     "execution_count": 8,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -229,7 +229,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 44,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [
     {
@@ -254,7 +254,7 @@
     "        assert_equal(sol('hi man','hi     man'),True)\n",
     "        assert_equal(sol('aabbcc','aabbc'),False)\n",
     "        assert_equal(sol('123','1 2'),False)\n",
-    "        print \"ALL TEST CASES PASSED\"\n",
+    "        print(\"ALL TEST CASES PASSED\")\n",
     "\n",
     "# Run Tests\n",
     "t = AnagramTest()\n",
@@ -263,7 +263,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 45,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [
     {
@@ -302,7 +302,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.2"
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
diff --git a/Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/Array Pair Sum - SOLUTION.ipynb b/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/.ipynb_checkpoints/02-Array Pair Sum - SOLUTION-checkpoint.ipynb
similarity index 89%
rename from Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/Array Pair Sum - SOLUTION.ipynb
rename to 02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/.ipynb_checkpoints/02-Array Pair Sum - SOLUTION-checkpoint.ipynb
index 2419f818..60849887 100644
--- a/Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/Array Pair Sum - SOLUTION.ipynb	
+++ b/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/.ipynb_checkpoints/02-Array Pair Sum - SOLUTION-checkpoint.ipynb	
@@ -30,10 +30,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 1,
+   "metadata": {},
    "outputs": [],
    "source": [
     "def pair_sum(arr,k):\n",
@@ -68,10 +66,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 2,
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -79,7 +75,7 @@
        "2"
       ]
      },
-     "execution_count": 14,
+     "execution_count": 2,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -97,10 +93,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 3,
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -122,7 +116,7 @@
     "        assert_equal(sol([1,9,2,8,3,7,4,6,5,5,13,14,11,13,-1],10),6)\n",
     "        assert_equal(sol([1,2,3,1],3),1)\n",
     "        assert_equal(sol([1,3,2,2],4),2)\n",
-    "        print 'ALL TEST CASES PASSED'\n",
+    "        print('ALL TEST CASES PASSED')\n",
     "        \n",
     "#Run tests\n",
     "t = TestPair()\n",
@@ -140,23 +134,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.10"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/Find the Missing Element - SOLUTION.ipynb b/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/.ipynb_checkpoints/03-Find the Missing Element - SOLUTION-checkpoint.ipynb
similarity index 89%
rename from Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/Find the Missing Element - SOLUTION.ipynb
rename to 02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/.ipynb_checkpoints/03-Find the Missing Element - SOLUTION-checkpoint.ipynb
index 0b216746..d5dab835 100644
--- a/Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/Find the Missing Element - SOLUTION.ipynb	
+++ b/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/.ipynb_checkpoints/03-Find the Missing Element - SOLUTION-checkpoint.ipynb	
@@ -32,9 +32,7 @@
   {
    "cell_type": "code",
    "execution_count": 1,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "def finder(arr1,arr2):\n",
@@ -54,10 +52,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 46,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 2,
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -65,7 +61,7 @@
        "5"
       ]
      },
-     "execution_count": 46,
+     "execution_count": 2,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -85,10 +81,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 44,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 3,
+   "metadata": {},
    "outputs": [],
    "source": [
     "import collections\n",
@@ -113,10 +107,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 47,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 4,
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -124,7 +116,7 @@
        "5"
       ]
      },
-     "execution_count": 47,
+     "execution_count": 4,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -147,10 +139,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 38,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 6,
+   "metadata": {},
    "outputs": [],
    "source": [
     "def finder3(arr1, arr2): \n",
@@ -159,17 +149,15 @@
     "    # Perform an XOR between the numbers in the arrays\n",
     "    for num in arr1+arr2: \n",
     "        result^=num \n",
-    "        print result\n",
+    "        print(result)\n",
     "        \n",
     "    return result "
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 39,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 7,
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -190,7 +178,7 @@
        "5"
       ]
      },
-     "execution_count": 39,
+     "execution_count": 7,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -208,10 +196,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 43,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 8,
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -233,7 +219,7 @@
     "        assert_equal(sol([5,5,7,7],[5,7,7]),5)\n",
     "        assert_equal(sol([1,2,3,4,5,6,7],[3,7,2,1,4,6]),5)\n",
     "        assert_equal(sol([9,8,7,6,5,4,3,2,1],[9,8,7,5,4,3,2,1]),6)\n",
-    "        print 'ALL TEST CASES PASSED'\n",
+    "        print('ALL TEST CASES PASSED')\n",
     "\n",
     "# Run test\n",
     "t = TestFinder()\n",
@@ -250,23 +236,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.10"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/Largest Continuous Sum - SOLUTION.ipynb b/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/.ipynb_checkpoints/04-Largest Continuous Sum - SOLUTION-checkpoint.ipynb
similarity index 95%
rename from Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/Largest Continuous Sum - SOLUTION.ipynb
rename to 02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/.ipynb_checkpoints/04-Largest Continuous Sum - SOLUTION-checkpoint.ipynb
index f5fd1e30..6ba55d10 100644
--- a/Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/Largest Continuous Sum - SOLUTION.ipynb	
+++ b/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/.ipynb_checkpoints/04-Largest Continuous Sum - SOLUTION-checkpoint.ipynb	
@@ -20,7 +20,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -47,7 +47,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [
     {
@@ -56,7 +56,7 @@
        "29"
       ]
      },
-     "execution_count": 25,
+     "execution_count": 2,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -82,7 +82,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 28,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [
     {
@@ -101,7 +101,7 @@
     "        assert_equal(sol([1,2,-1,3,4,-1]),9)\n",
     "        assert_equal(sol([1,2,-1,3,4,10,10,-10,-1]),29)\n",
     "        assert_equal(sol([-1,1]),1)\n",
-    "        print 'ALL TEST CASES PASSED'\n",
+    "        print('ALL TEST CASES PASSED')\n",
     "        \n",
     "#Run Test\n",
     "t = LargeContTest()\n",
@@ -132,7 +132,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.2"
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
diff --git a/Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/Sentence Reversal - SOLUTION.ipynb b/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/.ipynb_checkpoints/05-Sentence Reversal - SOLUTION-checkpoint.ipynb
similarity index 79%
rename from Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/Sentence Reversal - SOLUTION.ipynb
rename to 02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/.ipynb_checkpoints/05-Sentence Reversal - SOLUTION-checkpoint.ipynb
index 0e6577a7..99449f2d 100644
--- a/Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/Sentence Reversal - SOLUTION.ipynb	
+++ b/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/.ipynb_checkpoints/05-Sentence Reversal - SOLUTION-checkpoint.ipynb	
@@ -33,10 +33,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 1,
+   "metadata": {},
    "outputs": [],
    "source": [
     "def rev_word1(s):\n",
@@ -50,7 +48,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [
     {
@@ -59,7 +57,7 @@
        "'go? to ready you are John, Hi'"
       ]
      },
-     "execution_count": 4,
+     "execution_count": 2,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -70,7 +68,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [
     {
@@ -79,7 +77,7 @@
        "'go? to ready you are John, Hi'"
       ]
      },
-     "execution_count": 6,
+     "execution_count": 3,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -97,10 +95,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 4,
+   "metadata": {},
    "outputs": [],
    "source": [
     "def rev_word3(s):\n",
@@ -139,7 +135,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [
     {
@@ -148,7 +144,7 @@
        "'you are how John Hello'"
       ]
      },
-     "execution_count": 19,
+     "execution_count": 5,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -159,7 +155,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [
     {
@@ -168,7 +164,7 @@
        "'before space'"
       ]
      },
-     "execution_count": 20,
+     "execution_count": 6,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -193,14 +189,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [
     {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "ALL TEST CASES PASSED\n"
+     "ename": "NameError",
+     "evalue": "name 'rev_word' is not defined",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
+      "\u001b[0;32m<ipython-input-7-2dee392751be>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m     16\u001b[0m \u001b[0;31m# Run and test\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     17\u001b[0m \u001b[0mt\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mReversalTest\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 18\u001b[0;31m \u001b[0mt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtest\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mrev_word\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
+      "\u001b[0;31mNameError\u001b[0m: name 'rev_word' is not defined"
      ]
     }
    ],
@@ -218,7 +218,7 @@
     "        assert_equal(sol('space after     '),'after space')\n",
     "        assert_equal(sol('   Hello John    how are you   '),'you are how John Hello')\n",
     "        assert_equal(sol('1'),'1')\n",
-    "        print \"ALL TEST CASES PASSED\"\n",
+    "        print(\"ALL TEST CASES PASSED\")\n",
     "        \n",
     "# Run and test\n",
     "t = ReversalTest()\n",
@@ -249,7 +249,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.2"
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
diff --git a/Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/String Compression -SOLUTION.ipynb b/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/.ipynb_checkpoints/06-String Compression -SOLUTION-checkpoint.ipynb
similarity index 97%
rename from Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/String Compression -SOLUTION.ipynb
rename to 02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/.ipynb_checkpoints/06-String Compression -SOLUTION-checkpoint.ipynb
index 68411f20..d027573e 100644
--- a/Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/String Compression -SOLUTION.ipynb	
+++ b/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/.ipynb_checkpoints/06-String Compression -SOLUTION-checkpoint.ipynb	
@@ -100,7 +100,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 62,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [
     {
@@ -123,7 +123,7 @@
     "        assert_equal(sol(''), '')\n",
     "        assert_equal(sol('AABBCC'), 'A2B2C2')\n",
     "        assert_equal(sol('AAABCCDDDDD'), 'A3B1C2D5')\n",
-    "        print 'ALL TEST CASES PASSED'\n",
+    "        print('ALL TEST CASES PASSED')\n",
     "\n",
     "# Run Tests\n",
     "t = TestCompress()\n",
@@ -154,7 +154,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.2"
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
diff --git a/Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/Unique Characters in String - SOLUTION.ipynb b/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/.ipynb_checkpoints/07-Unique Characters in String - SOLUTION-checkpoint.ipynb
similarity index 93%
rename from Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/Unique Characters in String - SOLUTION.ipynb
rename to 02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/.ipynb_checkpoints/07-Unique Characters in String - SOLUTION-checkpoint.ipynb
index 4b18c4c4..7ff82318 100644
--- a/Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/Unique Characters in String - SOLUTION.ipynb	
+++ b/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/.ipynb_checkpoints/07-Unique Characters in String - SOLUTION-checkpoint.ipynb	
@@ -20,10 +20,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 1,
+   "metadata": {},
    "outputs": [],
    "source": [
     "def uni_char(s):\n",
@@ -32,10 +30,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 2,
+   "metadata": {},
    "outputs": [],
    "source": [
     "def uni_char2(s):\n",
@@ -59,7 +55,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [
     {
@@ -83,7 +79,7 @@
     "        assert_equal(sol(''), True)\n",
     "        assert_equal(sol('goo'), False)\n",
     "        assert_equal(sol('abcdefg'), True)\n",
-    "        print 'ALL TEST CASES PASSED'\n",
+    "        print('ALL TEST CASES PASSED')\n",
     "        \n",
     "# Run Tests\n",
     "t = TestUnique()\n",
@@ -114,7 +110,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.2"
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
diff --git a/Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/.ipynb_checkpoints/Anagram Check - SOLUTION-checkpoint.ipynb b/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/.ipynb_checkpoints/Anagram Check - SOLUTION-checkpoint.ipynb
similarity index 100%
rename from Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/.ipynb_checkpoints/Anagram Check - SOLUTION-checkpoint.ipynb
rename to 02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/.ipynb_checkpoints/Anagram Check - SOLUTION-checkpoint.ipynb
diff --git a/Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/.ipynb_checkpoints/Array Pair Sum - SOLUTION-checkpoint.ipynb b/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/.ipynb_checkpoints/Array Pair Sum - SOLUTION-checkpoint.ipynb
similarity index 100%
rename from Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/.ipynb_checkpoints/Array Pair Sum - SOLUTION-checkpoint.ipynb
rename to 02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/.ipynb_checkpoints/Array Pair Sum - SOLUTION-checkpoint.ipynb
diff --git a/Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/.ipynb_checkpoints/Find the Missing Element - SOLUTION-checkpoint.ipynb b/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/.ipynb_checkpoints/Find the Missing Element - SOLUTION-checkpoint.ipynb
similarity index 100%
rename from Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/.ipynb_checkpoints/Find the Missing Element - SOLUTION-checkpoint.ipynb
rename to 02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/.ipynb_checkpoints/Find the Missing Element - SOLUTION-checkpoint.ipynb
diff --git a/Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/.ipynb_checkpoints/Largest Continuous Sum - SOLUTION-checkpoint.ipynb b/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/.ipynb_checkpoints/Largest Continuous Sum - SOLUTION-checkpoint.ipynb
similarity index 100%
rename from Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/.ipynb_checkpoints/Largest Continuous Sum - SOLUTION-checkpoint.ipynb
rename to 02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/.ipynb_checkpoints/Largest Continuous Sum - SOLUTION-checkpoint.ipynb
diff --git a/Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/.ipynb_checkpoints/Sentence Reversal - SOLUTION-checkpoint.ipynb b/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/.ipynb_checkpoints/Sentence Reversal - SOLUTION-checkpoint.ipynb
similarity index 100%
rename from Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/.ipynb_checkpoints/Sentence Reversal - SOLUTION-checkpoint.ipynb
rename to 02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/.ipynb_checkpoints/Sentence Reversal - SOLUTION-checkpoint.ipynb
diff --git a/Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/.ipynb_checkpoints/String Compression -SOLUTION-checkpoint.ipynb b/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/.ipynb_checkpoints/String Compression -SOLUTION-checkpoint.ipynb
similarity index 100%
rename from Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/.ipynb_checkpoints/String Compression -SOLUTION-checkpoint.ipynb
rename to 02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/.ipynb_checkpoints/String Compression -SOLUTION-checkpoint.ipynb
diff --git a/Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/.ipynb_checkpoints/Unique Characters in String - SOLUTION-checkpoint.ipynb b/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/.ipynb_checkpoints/Unique Characters in String - SOLUTION-checkpoint.ipynb
similarity index 100%
rename from Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/.ipynb_checkpoints/Unique Characters in String - SOLUTION-checkpoint.ipynb
rename to 02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/.ipynb_checkpoints/Unique Characters in String - SOLUTION-checkpoint.ipynb
diff --git a/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/01-Anagram Check - SOLUTION.ipynb b/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/01-Anagram Check - SOLUTION.ipynb
new file mode 100644
index 00000000..c84b3a9c
--- /dev/null
+++ b/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/01-Anagram Check - SOLUTION.ipynb	
@@ -0,0 +1,310 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Anagram Solution\n",
+    "\n",
+    "## Problem\n",
+    "\n",
+    "Given two strings, check to see if they are anagrams. An anagram is when the two strings can be written using the exact same letters (so you can just rearrange the letters to get a different phrase or word). \n",
+    "\n",
+    "For example:\n",
+    "\n",
+    "    \"public relations\" is an anagram of \"crap built on lies.\"\n",
+    "    \n",
+    "    \"clint eastwood\" is an anagram of \"old west action\"\n",
+    "    \n",
+    "**Note: Ignore spaces and capitalization. So \"d go\" is an anagram of \"God\" and \"dog\" and \"o d g\".**\n",
+    "\n",
+    "## Solution\n",
+    "\n",
+    "There are two ways of thinking about this problem, if two strings have the same frequency of letters/element (meaning each letter shows up the same number of times in both strings) then they are anagrams of eachother. On a similar vien of logic, if two strings are equal to each other once they are sorted, then they are also anagrams of each other.\n",
+    "\n",
+    "You would be able to implement this second solution pretty easily in Python:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def anagram(s1,s2):\n",
+    "    \n",
+    "    # Remove spaces and lowercase letters\n",
+    "    s1 = s1.replace(' ','').lower()\n",
+    "    s2 = s2.replace(' ','').lower()\n",
+    "    \n",
+    "    # Return boolean for sorted match.\n",
+    "    return sorted(s1) == sorted(s2)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "True"
+      ]
+     },
+     "execution_count": 2,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "anagram('dog','god')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "True"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "anagram('clint eastwood','old west action')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "False"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "anagram('aa','bb')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Now the above sorting approach is simple, but is actually not optimal and in an interview setting you would probably be asked to implement a more manual solution involving just counting the number of letters in each string to test your ability to understand hash tables. Let's build out a fuller solution using counting and Python dictionaries:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def anagram2(s1,s2):\n",
+    "    \n",
+    "    # Remove spaces and lowercase letters\n",
+    "    s1 = s1.replace(' ','').lower()\n",
+    "    s2 = s2.replace(' ','').lower()\n",
+    "    \n",
+    "    # Edge Case to check if same number of letters\n",
+    "    if len(s1) != len(s2):\n",
+    "        return False\n",
+    "    \n",
+    "    # Create counting dictionary (Note could use DefaultDict from Collections module)\n",
+    "    count = {}\n",
+    "    \n",
+    "    \n",
+    "        \n",
+    "    # Fill dictionary for first string (add counts)\n",
+    "    for letter in s1:\n",
+    "        if letter in count:\n",
+    "            count[letter] += 1\n",
+    "        else:\n",
+    "            count[letter] = 1\n",
+    "            \n",
+    "    # Fill dictionary for second string (subtract counts)\n",
+    "    for letter in s2:\n",
+    "        if letter in count:\n",
+    "            count[letter] -= 1\n",
+    "        else:\n",
+    "            count[letter] = 1\n",
+    "    \n",
+    "    # Check that all counts are 0\n",
+    "    for k in count:\n",
+    "        if count[k] != 0:\n",
+    "            return False\n",
+    "\n",
+    "    # Otherwise they're anagrams\n",
+    "    return True"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "True"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "anagram2('dog','god')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "True"
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "anagram2('clint eastwood','old west action')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "False"
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "anagram2('dd','aa')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "A quick note on the second solution, the use of defaultdict form the collections module would clean up this code quite a bit, and the final for loop could be built into the second for loop, but in the above implementation every step is very clear."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Test Your Solution\n",
+    "Run the cell below to test your solution"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "ALL TEST CASES PASSED\n"
+     ]
+    }
+   ],
+   "source": [
+    "\"\"\"\n",
+    "RUN THIS CELL TO TEST YOUR SOLUTION\n",
+    "\"\"\"\n",
+    "from nose.tools import assert_equal\n",
+    "\n",
+    "class AnagramTest(object):\n",
+    "    \n",
+    "    def test(self,sol):\n",
+    "        assert_equal(sol('go go go','gggooo'),True)\n",
+    "        assert_equal(sol('abc','cba'),True)\n",
+    "        assert_equal(sol('hi man','hi     man'),True)\n",
+    "        assert_equal(sol('aabbcc','aabbc'),False)\n",
+    "        assert_equal(sol('123','1 2'),False)\n",
+    "        print(\"ALL TEST CASES PASSED\")\n",
+    "\n",
+    "# Run Tests\n",
+    "t = AnagramTest()\n",
+    "t.test(anagram)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "ALL TEST CASES PASSED\n"
+     ]
+    }
+   ],
+   "source": [
+    "t.test(anagram2)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Good Job!"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 1
+}
diff --git a/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/02-Array Pair Sum - SOLUTION.ipynb b/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/02-Array Pair Sum - SOLUTION.ipynb
new file mode 100644
index 00000000..60849887
--- /dev/null
+++ b/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/02-Array Pair Sum - SOLUTION.ipynb	
@@ -0,0 +1,156 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Array Pair Sum\n",
+    "\n",
+    "## Problem\n",
+    "\n",
+    "Given an integer array, output all the ** *unique* ** pairs that sum up to a specific value **k**.\n",
+    "\n",
+    "So the input:\n",
+    "    \n",
+    "    pair_sum([1,3,2,2],4)\n",
+    "\n",
+    "would return **2** pairs:\n",
+    "\n",
+    "     (1,3)\n",
+    "     (2,2)\n",
+    "\n",
+    "**NOTE: FOR TESTING PURPOSES< CHANGE YOUR FUNCTION SO IT OUTPUTS THE NUMBER OF PAIRS**\n",
+    "\n",
+    "## Solution\n",
+    "\n",
+    "The O(N) algorithm uses the set data structure. We perform a linear pass from the beginning and for each element we check whether k-element is in the set of seen numbers. If it is, then we found a pair of sum k and add it to the output. If not, this element doesn’t belong to a pair yet, and we add it to the set of seen elements. \n",
+    "\n",
+    "The algorithm is really simple once we figure out using a set. The complexity is O(N) because we do a single linear scan of the array, and for each element we just check whether the corresponding number to form a pair is in the set or add the current element to the set. Insert and find operations of a set are both average O(1), so the algorithm is O(N) in total. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def pair_sum(arr,k):\n",
+    "    \n",
+    "    if len(arr)<2:\n",
+    "        return\n",
+    "    \n",
+    "    # Sets for tracking\n",
+    "    seen = set()\n",
+    "    output = set()\n",
+    "    \n",
+    "    # For every number in array\n",
+    "    for num in arr:\n",
+    "        \n",
+    "        # Set target difference\n",
+    "        target = k-num\n",
+    "        \n",
+    "        # Add it to set if target hasn't been seen\n",
+    "        if target not in seen:\n",
+    "            seen.add(num)\n",
+    "        \n",
+    "        else:\n",
+    "            # Add a tuple with the corresponding pair\n",
+    "            output.add( (min(num,target),  max(num,target)) )\n",
+    "    \n",
+    "    \n",
+    "    # FOR TESTING\n",
+    "    return len(output)\n",
+    "    # Nice one-liner for printing output\n",
+    "    #return '\\n'.join(map(str,list(output)))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "2"
+      ]
+     },
+     "execution_count": 2,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "pair_sum([1,3,2,2],4)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Test Your Solution"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "ALL TEST CASES PASSED\n"
+     ]
+    }
+   ],
+   "source": [
+    "\"\"\"\n",
+    "RUN THIS CELL TO TEST YOUR SOLUTION\n",
+    "\"\"\"\n",
+    "from nose.tools import assert_equal\n",
+    "\n",
+    "class TestPair(object):\n",
+    "    \n",
+    "    def test(self,sol):\n",
+    "        assert_equal(sol([1,9,2,8,3,7,4,6,5,5,13,14,11,13,-1],10),6)\n",
+    "        assert_equal(sol([1,2,3,1],3),1)\n",
+    "        assert_equal(sol([1,3,2,2],4),2)\n",
+    "        print('ALL TEST CASES PASSED')\n",
+    "        \n",
+    "#Run tests\n",
+    "t = TestPair()\n",
+    "t.test(pair_sum)\n",
+    "    "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Good Job!"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 1
+}
diff --git a/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/03-Find the Missing Element - SOLUTION.ipynb b/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/03-Find the Missing Element - SOLUTION.ipynb
new file mode 100644
index 00000000..d5dab835
--- /dev/null
+++ b/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/03-Find the Missing Element - SOLUTION.ipynb	
@@ -0,0 +1,258 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Find the Missing Element\n",
+    "\n",
+    "## Problem\n",
+    "\n",
+    "Consider an array of non-negative integers. A second array is formed by shuffling the elements of the first array and deleting a random element. Given these two arrays, find which element is missing in the second array. \n",
+    "\n",
+    "Here is an example input, the first array is shuffled and the number 5 is removed to construct the second array.\n",
+    "\n",
+    "Input:\n",
+    "    \n",
+    "    finder([1,2,3,4,5,6,7],[3,7,2,1,4,6])\n",
+    "\n",
+    "Output:\n",
+    "\n",
+    "    5 is the missing number\n",
+    "\n",
+    "## Solution\n",
+    "\n",
+    "The naive solution is go through every element in the second array and check whether it appears in the first array. Note that there may be duplicate elements in the arrays so we should pay special attention to it. The complexity of this approach is O(N^2), since we would need two for loops.\n",
+    "\n",
+    "A more efficient solution is to sort the first array, so while checking whether an element in the first array appears in the second, we can do binary search (we'll learn about binary search in more detail in a future section). But we should still be careful about duplicate elements. The complexity is O(NlogN). \n",
+    "\n",
+    "If we don’t want to deal with the special case of duplicate numbers, we can sort both arrays and iterate over them simultaneously. Once two iterators have different values we can stop. The value of the first iterator is the missing element. This solution is also O(NlogN). Here is the solution for this approach:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def finder(arr1,arr2):\n",
+    "    \n",
+    "    # Sort the arrays\n",
+    "    arr1.sort()\n",
+    "    arr2.sort()\n",
+    "    \n",
+    "    # Compare elements in the sorted arrays\n",
+    "    for num1, num2 in zip(arr1,arr2):\n",
+    "        if num1!= num2:\n",
+    "            return num1\n",
+    "    \n",
+    "    # Otherwise return last element\n",
+    "    return arr1[-1]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "5"
+      ]
+     },
+     "execution_count": 2,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "arr1 = [1,2,3,4,5,6,7]\n",
+    "arr2 = [3,7,2,1,4,6]\n",
+    "finder(arr1,arr2)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "In most interviews, you would be expected to come up with a linear time solution. We can use a hashtable and store the number of times each element appears in the second array. Then for each element in the first array we decrement its counter. Once hit an element with zero count that’s the missing element. Here is this solution: "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import collections\n",
+    "\n",
+    "def finder2(arr1, arr2): \n",
+    "    \n",
+    "    # Using default dict to avoid key errors\n",
+    "    d=collections.defaultdict(int) \n",
+    "    \n",
+    "    # Add a count for every instance in Array 1\n",
+    "    for num in arr2:\n",
+    "        d[num]+=1 \n",
+    "    \n",
+    "    # Check if num not in dictionary\n",
+    "    for num in arr1: \n",
+    "        if d[num]==0: \n",
+    "            return num \n",
+    "        \n",
+    "        # Otherwise, subtract a count\n",
+    "        else: d[num]-=1 "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "5"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "arr1 = [5,5,7,7]\n",
+    "arr2 = [5,7,7]\n",
+    "\n",
+    "finder2(arr1,arr2)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "One possible solution is computing the sum of all the numbers in arr1 and arr2, and subtracting arr2’s sum from array1’s sum. The difference is the missing number in arr2. However, this approach could be problematic if the arrays are too long, or the numbers are very large. Then overflow will occur while summing up the numbers.\n",
+    "\n",
+    "By performing a very clever trick, we can achieve linear time and constant space complexity without any problems. Here it is: initialize a variable to 0, then [XOR](https://en.wikipedia.org/wiki/Exclusive_or) every element in the first and second arrays with that variable. In the end, the value of the variable is the result, missing element in array2."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def finder3(arr1, arr2): \n",
+    "    result=0 \n",
+    "    \n",
+    "    # Perform an XOR between the numbers in the arrays\n",
+    "    for num in arr1+arr2: \n",
+    "        result^=num \n",
+    "        print(result)\n",
+    "        \n",
+    "    return result "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "5\n",
+      "0\n",
+      "7\n",
+      "0\n",
+      "5\n",
+      "2\n",
+      "5\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "5"
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "finder3(arr1,arr2)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Test Your Solution"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "ALL TEST CASES PASSED\n"
+     ]
+    }
+   ],
+   "source": [
+    "\"\"\"\n",
+    "RUN THIS CELL TO TEST YOUR SOLUTION\n",
+    "\"\"\"\n",
+    "from nose.tools import assert_equal\n",
+    "\n",
+    "class TestFinder(object):\n",
+    "    \n",
+    "    def test(self,sol):\n",
+    "        assert_equal(sol([5,5,7,7],[5,7,7]),5)\n",
+    "        assert_equal(sol([1,2,3,4,5,6,7],[3,7,2,1,4,6]),5)\n",
+    "        assert_equal(sol([9,8,7,6,5,4,3,2,1],[9,8,7,5,4,3,2,1]),6)\n",
+    "        print('ALL TEST CASES PASSED')\n",
+    "\n",
+    "# Run test\n",
+    "t = TestFinder()\n",
+    "t.test(finder)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Good Job!"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 1
+}
diff --git a/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/04-Largest Continuous Sum - SOLUTION.ipynb b/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/04-Largest Continuous Sum - SOLUTION.ipynb
new file mode 100644
index 00000000..6ba55d10
--- /dev/null
+++ b/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/04-Largest Continuous Sum - SOLUTION.ipynb	
@@ -0,0 +1,140 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Largest Continuous Sum\n",
+    "\n",
+    "## Problem\n",
+    "Given an array of integers (positive and negative) find the largest continuous sum. \n",
+    "\n",
+    "## Solution\n",
+    "\n",
+    "If the array is all positive, then the result is simply the sum of all numbers. The negative numbers in the array will cause us to need to begin checking sequences.  \n",
+    "\n",
+    "The algorithm is, we start summing up the numbers and store in a current sum variable. After adding each element, we check whether the current sum is larger than maximum sum encountered so far. If it is, we update the maximum sum. As long as the current sum is positive, we keep adding the numbers. When the current sum becomes negative, we start with a new current sum. Because a negative current sum will only decrease the sum of a future sequence. Note that we don’t reset the current sum to 0 because the array can contain all negative integers. Then the result would be the largest negative number. \n",
+    "\n",
+    "Let's see the code:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def large_cont_sum(arr): \n",
+    "    \n",
+    "    # Check to see if array is length 0\n",
+    "    if len(arr)==0: \n",
+    "        return 0\n",
+    "    \n",
+    "    # Start the max and current sum at the first element\n",
+    "    max_sum=current_sum=arr[0] \n",
+    "    \n",
+    "    # For every element in array\n",
+    "    for num in arr[1:]: \n",
+    "        \n",
+    "        # Set current sum as the higher of the two\n",
+    "        current_sum=max(current_sum+num, num)\n",
+    "        \n",
+    "        # Set max as the higher between the currentSum and the current max\n",
+    "        max_sum=max(current_sum, max_sum) \n",
+    "        \n",
+    "    return max_sum "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "29"
+      ]
+     },
+     "execution_count": 2,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "large_cont_sum([1,2,-1,3,4,10,10,-10,-1])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "____\n",
+    "Many times in an interview setting the question also requires you to report back the start and end points of the sum. Keep this in mind and see if you can solve that problem, we'll see it in the mock interview section of the course!"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Test Your Solution"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "ALL TEST CASES PASSED\n"
+     ]
+    }
+   ],
+   "source": [
+    "from nose.tools import assert_equal\n",
+    "\n",
+    "class LargeContTest(object):\n",
+    "    def test(self,sol):\n",
+    "        assert_equal(sol([1,2,-1,3,4,-1]),9)\n",
+    "        assert_equal(sol([1,2,-1,3,4,10,10,-10,-1]),29)\n",
+    "        assert_equal(sol([-1,1]),1)\n",
+    "        print('ALL TEST CASES PASSED')\n",
+    "        \n",
+    "#Run Test\n",
+    "t = LargeContTest()\n",
+    "t.test(large_cont_sum)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Good Job!"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 1
+}
diff --git a/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/05-Sentence Reversal - SOLUTION.ipynb b/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/05-Sentence Reversal - SOLUTION.ipynb
new file mode 100644
index 00000000..99449f2d
--- /dev/null
+++ b/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/05-Sentence Reversal - SOLUTION.ipynb	
@@ -0,0 +1,257 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Sentence Reversal\n",
+    "\n",
+    "## Problem\n",
+    "\n",
+    "Given a string of words, reverse all the words. For example:\n",
+    "\n",
+    "Given:\n",
+    "    \n",
+    "    'This is the best'\n",
+    "\n",
+    "Return:\n",
+    "\n",
+    "    'best the is This'\n",
+    "\n",
+    "As part of this exercise you should remove all leading and trailing whitespace. So that inputs such as:\n",
+    "\n",
+    "    '  space here'  and 'space here      '\n",
+    "\n",
+    "both become:\n",
+    "\n",
+    "    'here space'\n",
+    "\n",
+    "## Solution\n",
+    "\n",
+    "We could take advantage of Python's abilities and solve the problem with the use of **split()** and some slicing or use of **reversed**:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def rev_word1(s):\n",
+    "    return \" \".join(reversed(s.split()))\n",
+    "\n",
+    "#Or\n",
+    "\n",
+    "def rev_word2(s):\n",
+    "    return \" \".join(s.split()[::-1])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'go? to ready you are John, Hi'"
+      ]
+     },
+     "execution_count": 2,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "rev_word1('Hi John,   are you ready to go?')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'go? to ready you are John, Hi'"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "rev_word2('Hi John,   are you ready to go?')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "While these are valid solutions, in an interview setting you'll have to work out the basic algorithm that is used. In this case what we want to do is loop over the text and extract words form the string ourselves. Then we can push the words to a \"stack\" and in the end opo them all to reverse. Let's see what this actually looks like:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def rev_word3(s):\n",
+    "    \"\"\"\n",
+    "    Manually doing the splits on the spaces.\n",
+    "    \"\"\"\n",
+    "    \n",
+    "    words = []\n",
+    "    length = len(s)\n",
+    "    spaces = [' ']\n",
+    "    \n",
+    "    # Index Tracker\n",
+    "    i = 0\n",
+    "    \n",
+    "    # While index is less than length of string\n",
+    "    while i < length:\n",
+    "        \n",
+    "        # If element isn't a space\n",
+    "        if s[i] not in spaces:\n",
+    "            \n",
+    "            # The word starts at this index\n",
+    "            word_start = i\n",
+    "            \n",
+    "            while i < length and s[i] not in spaces:\n",
+    "                \n",
+    "                # Get index where word ends\n",
+    "                i += 1\n",
+    "            # Append that word to the list\n",
+    "            words.append(s[word_start:i])\n",
+    "        # Add to index\n",
+    "        i += 1\n",
+    "        \n",
+    "    # Join the reversed words\n",
+    "    return \" \".join(reversed(words))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'you are how John Hello'"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "rev_word3('   Hello John    how are you   ')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'before space'"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "rev_word3('    space before')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "If you want you can further develop this solution so its all manual, you can create your own reversal function."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Test Your Solution"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "ename": "NameError",
+     "evalue": "name 'rev_word' is not defined",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
+      "\u001b[0;32m<ipython-input-7-2dee392751be>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m     16\u001b[0m \u001b[0;31m# Run and test\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     17\u001b[0m \u001b[0mt\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mReversalTest\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 18\u001b[0;31m \u001b[0mt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtest\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mrev_word\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
+      "\u001b[0;31mNameError\u001b[0m: name 'rev_word' is not defined"
+     ]
+    }
+   ],
+   "source": [
+    "\"\"\"\n",
+    "RUN THIS CELL TO TEST YOUR SOLUTION\n",
+    "\"\"\"\n",
+    "\n",
+    "from nose.tools import assert_equal\n",
+    "\n",
+    "class ReversalTest(object):\n",
+    "    \n",
+    "    def test(self,sol):\n",
+    "        assert_equal(sol('    space before'),'before space')\n",
+    "        assert_equal(sol('space after     '),'after space')\n",
+    "        assert_equal(sol('   Hello John    how are you   '),'you are how John Hello')\n",
+    "        assert_equal(sol('1'),'1')\n",
+    "        print(\"ALL TEST CASES PASSED\")\n",
+    "        \n",
+    "# Run and test\n",
+    "t = ReversalTest()\n",
+    "t.test(rev_word)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Good Job!"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 1
+}
diff --git a/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/06-String Compression -SOLUTION.ipynb b/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/06-String Compression -SOLUTION.ipynb
new file mode 100644
index 00000000..d027573e
--- /dev/null
+++ b/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/06-String Compression -SOLUTION.ipynb	
@@ -0,0 +1,162 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# String Compression\n",
+    "\n",
+    "## Problem\n",
+    "\n",
+    "Given a string in the form 'AAAABBBBCCCCCDDEEEE' compress it to become 'A4B4C5D2E4'. For this problem, you can falsely \"compress\" strings of single or double letters. For instance, it is okay for 'AAB' to return 'A2B1' even though this technically takes more space. \n",
+    "\n",
+    "The function should also be case sensitive, so that a string 'AAAaaa' returns 'A3a3'."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Solution\n",
+    "Since Python strings are immutable, we'll need to work off of a list of characters, and at the end convert that list back into a string with a **join** statement.\n",
+    "\n",
+    "The solution below should yield us with a Time and Space complexity of O(n). Let's take a look with careful attention to the explanatory comments:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def compress(s):\n",
+    "    \"\"\"\n",
+    "    This solution compresses without checking. Known as the RunLength Compression algorithm.\n",
+    "    \"\"\"\n",
+    "    \n",
+    "    # Begin Run as empty string\n",
+    "    r = \"\"\n",
+    "    l = len(s)\n",
+    "    \n",
+    "    # Check for length 0\n",
+    "    if l == 0:\n",
+    "        return \"\"\n",
+    "    \n",
+    "    # Check for length 1\n",
+    "    if l == 1:\n",
+    "        return s + \"1\"\n",
+    "    \n",
+    "    #Intialize Values\n",
+    "    last = s[0]\n",
+    "    cnt = 1\n",
+    "    i = 1\n",
+    "    \n",
+    "    while i < l:\n",
+    "        \n",
+    "        # Check to see if it is the same letter\n",
+    "        if s[i] == s[i - 1]: \n",
+    "            # Add a count if same as previous\n",
+    "            cnt += 1\n",
+    "        else:\n",
+    "            # Otherwise store the previous data\n",
+    "            r = r + s[i - 1] + str(cnt)\n",
+    "            cnt = 1\n",
+    "            \n",
+    "        # Add to index count to terminate while loop\n",
+    "        i += 1\n",
+    "    \n",
+    "    # Put everything back into run\n",
+    "    r = r + s[i - 1] + str(cnt)\n",
+    "    \n",
+    "    return r"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'A5B4C4'"
+      ]
+     },
+     "execution_count": 2,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "compress('AAAAABBBBCCCC')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Test Your Solution"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "ALL TEST CASES PASSED\n"
+     ]
+    }
+   ],
+   "source": [
+    "\"\"\"\n",
+    "RUN THIS CELL TO TEST YOUR SOLUTION\n",
+    "\"\"\"\n",
+    "from nose.tools import assert_equal\n",
+    "\n",
+    "class TestCompress(object):\n",
+    "\n",
+    "    def test(self, sol):\n",
+    "        assert_equal(sol(''), '')\n",
+    "        assert_equal(sol('AABBCC'), 'A2B2C2')\n",
+    "        assert_equal(sol('AAABCCDDDDD'), 'A3B1C2D5')\n",
+    "        print('ALL TEST CASES PASSED')\n",
+    "\n",
+    "# Run Tests\n",
+    "t = TestCompress()\n",
+    "t.test(compress)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Good Job!"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 1
+}
diff --git a/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/07-Unique Characters in String - SOLUTION.ipynb b/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/07-Unique Characters in String - SOLUTION.ipynb
new file mode 100644
index 00000000..7ff82318
--- /dev/null
+++ b/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/07-Unique Characters in String - SOLUTION.ipynb	
@@ -0,0 +1,118 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Unique Characters in String\n",
+    "\n",
+    "## Problem\n",
+    "Given a string,determine if it is compreised of all unique characters. For example, the string 'abcde' has all unique characters and should return True. The string 'aabcde' contains duplicate characters and should return false."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Solution\n",
+    "We'll show two possible solutions, one using a built-in data structure and a built in function, and another using a built-in data structure but using a look-up method to check if the characters are unique."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def uni_char(s):\n",
+    "    return len(set(s)) == len(s)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def uni_char2(s):\n",
+    "    chars = set()\n",
+    "    for let in s:\n",
+    "        # Check if in set\n",
+    "        if let in chars:\n",
+    "            return False\n",
+    "        else:\n",
+    "            #Add it to the set\n",
+    "            chars.add(let)\n",
+    "    return True"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Test Your Solution"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "ALL TEST CASES PASSED\n"
+     ]
+    }
+   ],
+   "source": [
+    "\"\"\"\n",
+    "RUN THIS CELL TO TEST YOUR CODE>\n",
+    "\"\"\"\n",
+    "from nose.tools import assert_equal\n",
+    "\n",
+    "\n",
+    "class TestUnique(object):\n",
+    "\n",
+    "    def test(self, sol):\n",
+    "        assert_equal(sol(''), True)\n",
+    "        assert_equal(sol('goo'), False)\n",
+    "        assert_equal(sol('abcdefg'), True)\n",
+    "        print('ALL TEST CASES PASSED')\n",
+    "        \n",
+    "# Run Tests\n",
+    "t = TestUnique()\n",
+    "t.test(uni_char)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Good Job!"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 1
+}
diff --git a/Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions/.ipynb_checkpoints/Anagram Check -checkpoint.ipynb b/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions/.ipynb_checkpoints/01-Anagram Check -checkpoint.ipynb
similarity index 62%
rename from Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions/.ipynb_checkpoints/Anagram Check -checkpoint.ipynb
rename to 02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions/.ipynb_checkpoints/01-Anagram Check -checkpoint.ipynb
index fd6f0824..e27ff921 100644
--- a/Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions/.ipynb_checkpoints/Anagram Check -checkpoint.ipynb	
+++ b/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions/.ipynb_checkpoints/01-Anagram Check -checkpoint.ipynb	
@@ -25,10 +25,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": null,
+   "metadata": {},
    "outputs": [],
    "source": [
     "def anagram(s1,s2):\n",
@@ -38,66 +36,27 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "True"
-      ]
-     },
-     "execution_count": 27,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
    "source": [
     "anagram('dog','god')"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 34,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "True"
-      ]
-     },
-     "execution_count": 34,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
    "source": [
     "anagram('clint eastwood','old west action')"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 35,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "False"
-      ]
-     },
-     "execution_count": 35,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
    "source": [
     "anagram('aa','bb')"
    ]
@@ -112,19 +71,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 44,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "ALL TEST CASES PASSED\n"
-     ]
-    }
-   ],
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
    "source": [
     "\"\"\"\n",
     "RUN THIS CELL TO TEST YOUR SOLUTION\n",
@@ -139,7 +88,7 @@
     "        assert_equal(sol('hi man','hi     man'),True)\n",
     "        assert_equal(sol('aabbcc','aabbc'),False)\n",
     "        assert_equal(sol('123','1 2'),False)\n",
-    "        print \"ALL TEST CASES PASSED\"\n",
+    "        print(\"ALL TEST CASES PASSED\")\n",
     "\n",
     "# Run Tests\n",
     "t = AnagramTest()\n",
@@ -148,19 +97,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 45,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "ALL TEST CASES PASSED\n"
-     ]
-    }
-   ],
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
    "source": [
     "t.test(anagram2)"
    ]
@@ -175,23 +114,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.11"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions/Array Pair Sum .ipynb b/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions/.ipynb_checkpoints/02-Array Pair Sum -checkpoint.ipynb
similarity index 88%
rename from Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions/Array Pair Sum .ipynb
rename to 02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions/.ipynb_checkpoints/02-Array Pair Sum -checkpoint.ipynb
index 50ee6bfa..69bb05ff 100644
--- a/Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions/Array Pair Sum .ipynb	
+++ b/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions/.ipynb_checkpoints/02-Array Pair Sum -checkpoint.ipynb	
@@ -42,9 +42,7 @@
   {
    "cell_type": "code",
    "execution_count": 14,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -71,9 +69,7 @@
   {
    "cell_type": "code",
    "execution_count": 16,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -95,7 +91,7 @@
     "        assert_equal(sol([1,9,2,8,3,7,4,6,5,5,13,14,11,13,-1],10),6)\n",
     "        assert_equal(sol([1,2,3,1],3),1)\n",
     "        assert_equal(sol([1,3,2,2],4),2)\n",
-    "        print 'ALL TEST CASES PASSED'\n",
+    "        print('ALL TEST CASES PASSED')\n",
     "        \n",
     "#Run tests\n",
     "t = TestPair()\n",
@@ -113,23 +109,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.10"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions/.ipynb_checkpoints/Find the Missing Element -checkpoint.ipynb b/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions/.ipynb_checkpoints/03-Find the Missing Element -checkpoint.ipynb
similarity index 88%
rename from Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions/.ipynb_checkpoints/Find the Missing Element -checkpoint.ipynb
rename to 02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions/.ipynb_checkpoints/03-Find the Missing Element -checkpoint.ipynb
index fe1e12d7..562fba5c 100644
--- a/Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions/.ipynb_checkpoints/Find the Missing Element -checkpoint.ipynb	
+++ b/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions/.ipynb_checkpoints/03-Find the Missing Element -checkpoint.ipynb	
@@ -41,9 +41,7 @@
   {
    "cell_type": "code",
    "execution_count": 46,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -65,9 +63,7 @@
   {
    "cell_type": "code",
    "execution_count": 47,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -89,9 +85,7 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "source": [
     "_____"
    ]
@@ -106,9 +100,7 @@
   {
    "cell_type": "code",
    "execution_count": 43,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -130,7 +122,7 @@
     "        assert_equal(sol([5,5,7,7],[5,7,7]),5)\n",
     "        assert_equal(sol([1,2,3,4,5,6,7],[3,7,2,1,4,6]),5)\n",
     "        assert_equal(sol([9,8,7,6,5,4,3,2,1],[9,8,7,5,4,3,2,1]),6)\n",
-    "        print 'ALL TEST CASES PASSED'\n",
+    "        print('ALL TEST CASES PASSED')\n",
     "\n",
     "# Run test\n",
     "t = TestFinder()\n",
@@ -147,23 +139,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.10"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions/Largest Continuous Sum .ipynb b/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions/.ipynb_checkpoints/04-Largest Continuous Sum -checkpoint.ipynb
similarity index 86%
rename from Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions/Largest Continuous Sum .ipynb
rename to 02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions/.ipynb_checkpoints/04-Largest Continuous Sum -checkpoint.ipynb
index a4220bb0..31ed20b2 100644
--- a/Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions/Largest Continuous Sum .ipynb	
+++ b/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions/.ipynb_checkpoints/04-Largest Continuous Sum -checkpoint.ipynb	
@@ -17,9 +17,7 @@
   {
    "cell_type": "code",
    "execution_count": 18,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "def large_cont_sum(arr): \n",
@@ -29,9 +27,7 @@
   {
    "cell_type": "code",
    "execution_count": 25,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -66,9 +62,7 @@
   {
    "cell_type": "code",
    "execution_count": 28,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -86,7 +80,7 @@
     "        assert_equal(sol([1,2,-1,3,4,-1]),9)\n",
     "        assert_equal(sol([1,2,-1,3,4,10,10,-10,-1]),29)\n",
     "        assert_equal(sol([-1,1]),1)\n",
-    "        print 'ALL TEST CASES PASSED'\n",
+    "        print('ALL TEST CASES PASSED')\n",
     "        \n",
     "#Run Test\n",
     "t = LargeContTest()\n",
@@ -103,23 +97,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.10"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions/Sentence Reversal.ipynb b/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions/.ipynb_checkpoints/05-Sentence Reversal-checkpoint.ipynb
similarity index 89%
rename from Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions/Sentence Reversal.ipynb
rename to 02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions/.ipynb_checkpoints/05-Sentence Reversal-checkpoint.ipynb
index e6cf296a..8819e575 100644
--- a/Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions/Sentence Reversal.ipynb	
+++ b/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions/.ipynb_checkpoints/05-Sentence Reversal-checkpoint.ipynb	
@@ -46,9 +46,7 @@
   {
    "cell_type": "code",
    "execution_count": 4,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -68,9 +66,7 @@
   {
    "cell_type": "code",
    "execution_count": 20,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -104,9 +100,7 @@
   {
    "cell_type": "code",
    "execution_count": 24,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -130,7 +124,7 @@
     "        assert_equal(sol('space after     '),'after space')\n",
     "        assert_equal(sol('   Hello John    how are you   '),'you are how John Hello')\n",
     "        assert_equal(sol('1'),'1')\n",
-    "        print \"ALL TEST CASES PASSED\"\n",
+    "        print(\"ALL TEST CASES PASSED\")\n",
     "        \n",
     "# Run and test\n",
     "t = ReversalTest()\n",
@@ -147,23 +141,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.10"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions/.ipynb_checkpoints/String Compression -checkpoint.ipynb b/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions/.ipynb_checkpoints/06-String Compression -checkpoint.ipynb
similarity index 71%
rename from Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions/.ipynb_checkpoints/String Compression -checkpoint.ipynb
rename to 02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions/.ipynb_checkpoints/06-String Compression -checkpoint.ipynb
index e8c7d5f4..2bd8d1c4 100644
--- a/Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions/.ipynb_checkpoints/String Compression -checkpoint.ipynb	
+++ b/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions/.ipynb_checkpoints/06-String Compression -checkpoint.ipynb	
@@ -23,10 +23,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 65,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": null,
+   "metadata": {},
    "outputs": [],
    "source": [
     "def compress(s):\n",
@@ -35,22 +33,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 66,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "'A5B4C4'"
-      ]
-     },
-     "execution_count": 66,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
    "source": [
     "compress('AAAAABBBBCCCC')"
    ]
@@ -64,19 +49,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 62,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "ALL TEST CASES PASSED\n"
-     ]
-    }
-   ],
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
    "source": [
     "\"\"\"\n",
     "RUN THIS CELL TO TEST YOUR SOLUTION\n",
@@ -89,7 +64,7 @@
     "        assert_equal(sol(''), '')\n",
     "        assert_equal(sol('AABBCC'), 'A2B2C2')\n",
     "        assert_equal(sol('AAABCCDDDDD'), 'A3B1C2D5')\n",
-    "        print 'ALL TEST CASES PASSED'\n",
+    "        print('ALL TEST CASES PASSED')\n",
     "\n",
     "# Run Tests\n",
     "t = TestCompress()\n",
@@ -106,23 +81,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.10"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions/Unique Characters in String.ipynb b/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions/.ipynb_checkpoints/07-Unique Characters in String-checkpoint.ipynb
similarity index 88%
rename from Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions/Unique Characters in String.ipynb
rename to 02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions/.ipynb_checkpoints/07-Unique Characters in String-checkpoint.ipynb
index 9659d2bf..e6f8e1e2 100644
--- a/Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions/Unique Characters in String.ipynb	
+++ b/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions/.ipynb_checkpoints/07-Unique Characters in String-checkpoint.ipynb	
@@ -40,9 +40,7 @@
   {
    "cell_type": "code",
    "execution_count": 2,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -65,7 +63,7 @@
     "        assert_equal(sol(''), True)\n",
     "        assert_equal(sol('goo'), False)\n",
     "        assert_equal(sol('abcdefg'), True)\n",
-    "        print 'ALL TEST CASES PASSED'\n",
+    "        print('ALL TEST CASES PASSED')\n",
     "        \n",
     "# Run Tests\n",
     "t = TestUnique()\n",
@@ -82,23 +80,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.10"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions/Anagram Check .ipynb b/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions/01-Anagram Check .ipynb
similarity index 62%
rename from Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions/Anagram Check .ipynb
rename to 02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions/01-Anagram Check .ipynb
index fd6f0824..e27ff921 100644
--- a/Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions/Anagram Check .ipynb	
+++ b/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions/01-Anagram Check .ipynb	
@@ -25,10 +25,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": null,
+   "metadata": {},
    "outputs": [],
    "source": [
     "def anagram(s1,s2):\n",
@@ -38,66 +36,27 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "True"
-      ]
-     },
-     "execution_count": 27,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
    "source": [
     "anagram('dog','god')"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 34,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "True"
-      ]
-     },
-     "execution_count": 34,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
    "source": [
     "anagram('clint eastwood','old west action')"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 35,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "False"
-      ]
-     },
-     "execution_count": 35,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
    "source": [
     "anagram('aa','bb')"
    ]
@@ -112,19 +71,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 44,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "ALL TEST CASES PASSED\n"
-     ]
-    }
-   ],
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
    "source": [
     "\"\"\"\n",
     "RUN THIS CELL TO TEST YOUR SOLUTION\n",
@@ -139,7 +88,7 @@
     "        assert_equal(sol('hi man','hi     man'),True)\n",
     "        assert_equal(sol('aabbcc','aabbc'),False)\n",
     "        assert_equal(sol('123','1 2'),False)\n",
-    "        print \"ALL TEST CASES PASSED\"\n",
+    "        print(\"ALL TEST CASES PASSED\")\n",
     "\n",
     "# Run Tests\n",
     "t = AnagramTest()\n",
@@ -148,19 +97,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 45,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "ALL TEST CASES PASSED\n"
-     ]
-    }
-   ],
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
    "source": [
     "t.test(anagram2)"
    ]
@@ -175,23 +114,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.11"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions/.ipynb_checkpoints/Array Pair Sum -checkpoint.ipynb b/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions/02-Array Pair Sum .ipynb
similarity index 88%
rename from Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions/.ipynb_checkpoints/Array Pair Sum -checkpoint.ipynb
rename to 02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions/02-Array Pair Sum .ipynb
index 50ee6bfa..69bb05ff 100644
--- a/Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions/.ipynb_checkpoints/Array Pair Sum -checkpoint.ipynb	
+++ b/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions/02-Array Pair Sum .ipynb	
@@ -42,9 +42,7 @@
   {
    "cell_type": "code",
    "execution_count": 14,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -71,9 +69,7 @@
   {
    "cell_type": "code",
    "execution_count": 16,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -95,7 +91,7 @@
     "        assert_equal(sol([1,9,2,8,3,7,4,6,5,5,13,14,11,13,-1],10),6)\n",
     "        assert_equal(sol([1,2,3,1],3),1)\n",
     "        assert_equal(sol([1,3,2,2],4),2)\n",
-    "        print 'ALL TEST CASES PASSED'\n",
+    "        print('ALL TEST CASES PASSED')\n",
     "        \n",
     "#Run tests\n",
     "t = TestPair()\n",
@@ -113,23 +109,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.10"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions/Find the Missing Element .ipynb b/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions/03-Find the Missing Element .ipynb
similarity index 88%
rename from Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions/Find the Missing Element .ipynb
rename to 02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions/03-Find the Missing Element .ipynb
index fe1e12d7..562fba5c 100644
--- a/Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions/Find the Missing Element .ipynb	
+++ b/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions/03-Find the Missing Element .ipynb	
@@ -41,9 +41,7 @@
   {
    "cell_type": "code",
    "execution_count": 46,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -65,9 +63,7 @@
   {
    "cell_type": "code",
    "execution_count": 47,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -89,9 +85,7 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "source": [
     "_____"
    ]
@@ -106,9 +100,7 @@
   {
    "cell_type": "code",
    "execution_count": 43,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -130,7 +122,7 @@
     "        assert_equal(sol([5,5,7,7],[5,7,7]),5)\n",
     "        assert_equal(sol([1,2,3,4,5,6,7],[3,7,2,1,4,6]),5)\n",
     "        assert_equal(sol([9,8,7,6,5,4,3,2,1],[9,8,7,5,4,3,2,1]),6)\n",
-    "        print 'ALL TEST CASES PASSED'\n",
+    "        print('ALL TEST CASES PASSED')\n",
     "\n",
     "# Run test\n",
     "t = TestFinder()\n",
@@ -147,23 +139,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.10"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions/.ipynb_checkpoints/Largest Continuous Sum -checkpoint.ipynb b/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions/04-Largest Continuous Sum .ipynb
similarity index 86%
rename from Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions/.ipynb_checkpoints/Largest Continuous Sum -checkpoint.ipynb
rename to 02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions/04-Largest Continuous Sum .ipynb
index a4220bb0..31ed20b2 100644
--- a/Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions/.ipynb_checkpoints/Largest Continuous Sum -checkpoint.ipynb	
+++ b/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions/04-Largest Continuous Sum .ipynb	
@@ -17,9 +17,7 @@
   {
    "cell_type": "code",
    "execution_count": 18,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "def large_cont_sum(arr): \n",
@@ -29,9 +27,7 @@
   {
    "cell_type": "code",
    "execution_count": 25,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -66,9 +62,7 @@
   {
    "cell_type": "code",
    "execution_count": 28,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -86,7 +80,7 @@
     "        assert_equal(sol([1,2,-1,3,4,-1]),9)\n",
     "        assert_equal(sol([1,2,-1,3,4,10,10,-10,-1]),29)\n",
     "        assert_equal(sol([-1,1]),1)\n",
-    "        print 'ALL TEST CASES PASSED'\n",
+    "        print('ALL TEST CASES PASSED')\n",
     "        \n",
     "#Run Test\n",
     "t = LargeContTest()\n",
@@ -103,23 +97,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.10"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions/.ipynb_checkpoints/Sentence Reversal-checkpoint.ipynb b/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions/05-Sentence Reversal.ipynb
similarity index 89%
rename from Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions/.ipynb_checkpoints/Sentence Reversal-checkpoint.ipynb
rename to 02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions/05-Sentence Reversal.ipynb
index e6cf296a..8819e575 100644
--- a/Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions/.ipynb_checkpoints/Sentence Reversal-checkpoint.ipynb	
+++ b/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions/05-Sentence Reversal.ipynb	
@@ -46,9 +46,7 @@
   {
    "cell_type": "code",
    "execution_count": 4,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -68,9 +66,7 @@
   {
    "cell_type": "code",
    "execution_count": 20,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -104,9 +100,7 @@
   {
    "cell_type": "code",
    "execution_count": 24,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -130,7 +124,7 @@
     "        assert_equal(sol('space after     '),'after space')\n",
     "        assert_equal(sol('   Hello John    how are you   '),'you are how John Hello')\n",
     "        assert_equal(sol('1'),'1')\n",
-    "        print \"ALL TEST CASES PASSED\"\n",
+    "        print(\"ALL TEST CASES PASSED\")\n",
     "        \n",
     "# Run and test\n",
     "t = ReversalTest()\n",
@@ -147,23 +141,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.10"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions/String Compression .ipynb b/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions/06-String Compression .ipynb
similarity index 71%
rename from Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions/String Compression .ipynb
rename to 02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions/06-String Compression .ipynb
index e8c7d5f4..2bd8d1c4 100644
--- a/Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions/String Compression .ipynb	
+++ b/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions/06-String Compression .ipynb	
@@ -23,10 +23,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 65,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": null,
+   "metadata": {},
    "outputs": [],
    "source": [
     "def compress(s):\n",
@@ -35,22 +33,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 66,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "'A5B4C4'"
-      ]
-     },
-     "execution_count": 66,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
    "source": [
     "compress('AAAAABBBBCCCC')"
    ]
@@ -64,19 +49,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 62,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "ALL TEST CASES PASSED\n"
-     ]
-    }
-   ],
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
    "source": [
     "\"\"\"\n",
     "RUN THIS CELL TO TEST YOUR SOLUTION\n",
@@ -89,7 +64,7 @@
     "        assert_equal(sol(''), '')\n",
     "        assert_equal(sol('AABBCC'), 'A2B2C2')\n",
     "        assert_equal(sol('AAABCCDDDDD'), 'A3B1C2D5')\n",
-    "        print 'ALL TEST CASES PASSED'\n",
+    "        print('ALL TEST CASES PASSED')\n",
     "\n",
     "# Run Tests\n",
     "t = TestCompress()\n",
@@ -106,23 +81,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.10"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions/.ipynb_checkpoints/Unique Characters in String-checkpoint.ipynb b/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions/07-Unique Characters in String.ipynb
similarity index 88%
rename from Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions/.ipynb_checkpoints/Unique Characters in String-checkpoint.ipynb
rename to 02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions/07-Unique Characters in String.ipynb
index 9659d2bf..e6f8e1e2 100644
--- a/Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions/.ipynb_checkpoints/Unique Characters in String-checkpoint.ipynb	
+++ b/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions/07-Unique Characters in String.ipynb	
@@ -40,9 +40,7 @@
   {
    "cell_type": "code",
    "execution_count": 2,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -65,7 +63,7 @@
     "        assert_equal(sol(''), True)\n",
     "        assert_equal(sol('goo'), False)\n",
     "        assert_equal(sol('abcdefg'), True)\n",
-    "        print 'ALL TEST CASES PASSED'\n",
+    "        print('ALL TEST CASES PASSED')\n",
     "        \n",
     "# Run Tests\n",
     "t = TestUnique()\n",
@@ -82,23 +80,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.10"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Stacks, Queues and Deques/.ipynb_checkpoints/Stacks, Queues, and Deques Overview-checkpoint.ipynb b/03-Stacks, Queues and Deques/.ipynb_checkpoints/01-Stacks, Queues, and Deques Overview-checkpoint.ipynb
similarity index 90%
rename from Stacks, Queues and Deques/.ipynb_checkpoints/Stacks, Queues, and Deques Overview-checkpoint.ipynb
rename to 03-Stacks, Queues and Deques/.ipynb_checkpoints/01-Stacks, Queues, and Deques Overview-checkpoint.ipynb
index e020c9b7..42dbbded 100644
--- a/Stacks, Queues and Deques/.ipynb_checkpoints/Stacks, Queues, and Deques Overview-checkpoint.ipynb	
+++ b/03-Stacks, Queues and Deques/.ipynb_checkpoints/01-Stacks, Queues, and Deques Overview-checkpoint.ipynb	
@@ -31,23 +31,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.10"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/03-Stacks, Queues and Deques/.ipynb_checkpoints/02-Stacks Overview-checkpoint.ipynb b/03-Stacks, Queues and Deques/.ipynb_checkpoints/02-Stacks Overview-checkpoint.ipynb
new file mode 100644
index 00000000..038a04af
--- /dev/null
+++ b/03-Stacks, Queues and Deques/.ipynb_checkpoints/02-Stacks Overview-checkpoint.ipynb	
@@ -0,0 +1,92 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Stacks Overview\n",
+    "\n",
+    "**Please see the lecture video for the full Overview on Stacks!**"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "____\n",
+    "\n",
+    "A stack is an ordered collection of items where the addition of new items and the removal of existing items always takes place at the same end. This end is commonly referred to as the “top.” The end opposite the top is known as the “base.” \n",
+    "\n",
+    "The base of the stack is significant since items stored in the stack that are closer to the base represent those that have been in the stack the longest. The most recently added item is the one that is in position to be removed first. \n",
+    "\n",
+    "**This ordering principle is sometimes called LIFO, last-in first-out.** It provides an ordering based on length of time in the collection. Newer items are near the top, while older items are near the base.\n",
+    "\n",
+    "For example, consider the figure below:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<IPython.core.display.Image object>"
+      ]
+     },
+     "execution_count": 1,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "from IPython.display import Image\n",
+    "url ='https://upload.wikimedia.org/wikipedia/commons/b/b4/Lifo_stack.png'\n",
+    "\n",
+    "Image(url)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Note how the first items \"pushed\" to the stack begin at the base, and as items are \"popped\" out. Stacks are fundamentally important, as they can be used to reverse the order of items. The order of insertion is the reverse of the order of removal.\n",
+    "\n",
+    "Considering this reversal property, you can perhaps think of examples of stacks that occur as you use your computer. For example, every web browser has a Back button. As you navigate from web page to web page, those pages are placed on a stack (actually it is the URLs that are going on the stack). The current page that you are viewing is on the top and the first page you looked at is at the base. If you click on the Back button, you begin to move in reverse order through the pages.\n",
+    "\n",
+    "In the next lecture we will implement our own Stack class!"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Extra Resources:\n",
+    "[Wikipedia Page on Stacks](http://bit.ly/1OJybGQ)"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 1
+}
diff --git a/Stacks, Queues and Deques/.ipynb_checkpoints/Implementation of Stack-checkpoint.ipynb b/03-Stacks, Queues and Deques/.ipynb_checkpoints/03-Implementation of Stack-checkpoint.ipynb
similarity index 84%
rename from Stacks, Queues and Deques/.ipynb_checkpoints/Implementation of Stack-checkpoint.ipynb
rename to 03-Stacks, Queues and Deques/.ipynb_checkpoints/03-Implementation of Stack-checkpoint.ipynb
index fc3983dd..921d820c 100644
--- a/Stacks, Queues and Deques/.ipynb_checkpoints/Implementation of Stack-checkpoint.ipynb	
+++ b/03-Stacks, Queues and Deques/.ipynb_checkpoints/03-Implementation of Stack-checkpoint.ipynb	
@@ -31,10 +31,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 1,
+   "metadata": {},
    "outputs": [],
    "source": [
     "class Stack:\n",
@@ -68,10 +66,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 2,
+   "metadata": {},
    "outputs": [],
    "source": [
     "s = Stack()"
@@ -79,10 +75,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 3,
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -93,15 +87,13 @@
     }
    ],
    "source": [
-    "print s.isEmpty()"
+    "print(s.isEmpty())"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 4,
+   "metadata": {},
    "outputs": [],
    "source": [
     "s.push(1)"
@@ -109,10 +101,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 5,
+   "metadata": {},
    "outputs": [],
    "source": [
     "s.push('two')"
@@ -120,10 +110,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 6,
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -131,7 +119,7 @@
        "'two'"
       ]
      },
-     "execution_count": 7,
+     "execution_count": 6,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -142,10 +130,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 7,
+   "metadata": {},
    "outputs": [],
    "source": [
     "s.push(True)"
@@ -153,10 +139,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 8,
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -164,7 +148,7 @@
        "3"
       ]
      },
-     "execution_count": 9,
+     "execution_count": 8,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -175,10 +159,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 9,
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -186,7 +168,7 @@
        "False"
       ]
      },
-     "execution_count": 10,
+     "execution_count": 9,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -197,10 +179,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 10,
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -208,7 +188,7 @@
        "True"
       ]
      },
-     "execution_count": 11,
+     "execution_count": 10,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -219,17 +199,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 11,
+   "metadata": {},
    "outputs": [
     {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "two\n"
-     ]
+     "data": {
+      "text/plain": [
+       "'two'"
+      ]
+     },
+     "execution_count": 11,
+     "metadata": {},
+     "output_type": "execute_result"
     }
    ],
    "source": [
@@ -238,10 +219,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 12,
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -249,7 +228,7 @@
        "1"
       ]
      },
-     "execution_count": 13,
+     "execution_count": 12,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -260,10 +239,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 13,
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -271,7 +248,7 @@
        "1"
       ]
      },
-     "execution_count": 14,
+     "execution_count": 13,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -282,10 +259,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 14,
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -293,7 +268,7 @@
        "True"
       ]
      },
-     "execution_count": 15,
+     "execution_count": 14,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -312,23 +287,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.10"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/03-Stacks, Queues and Deques/.ipynb_checkpoints/04-Queues Overview-checkpoint.ipynb b/03-Stacks, Queues and Deques/.ipynb_checkpoints/04-Queues Overview-checkpoint.ipynb
new file mode 100644
index 00000000..d16ebe90
--- /dev/null
+++ b/03-Stacks, Queues and Deques/.ipynb_checkpoints/04-Queues Overview-checkpoint.ipynb	
@@ -0,0 +1,121 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Queues Overview\n",
+    "\n",
+    "In this lecture we will get an overview of what a Queue is, in the next lecture we will implement our own Queue class."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "____\n",
+    "A **queue** is an ordered collection of items where the addition of new items happens at one end, called the “rear,” and the removal of existing items occurs at the other end, commonly called the “front.” As an element enters the queue it starts at the rear and makes its way toward the front, waiting until that time when it is the next element to be removed.\n",
+    "\n",
+    "The most recently added item in the queue must wait at the end of the collection. The item that has been in the collection the longest is at the front. This ordering principle is sometimes called **FIFO, first-in first-out**. It is also known as “first-come first-served.”\n",
+    "\n",
+    "The simplest example of a queue is the typical line that we all participate in from time to time. We wait in a line for a movie, we wait in the check-out line at a grocery store, and we wait in the cafeteria line. The first person in that line is also the first person to get serviced/helped. \n",
+    "\n",
+    "Let's see a diagram which shows this and compares it to the Stack Data Structure:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<IPython.core.display.Image object>"
+      ]
+     },
+     "execution_count": 1,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "from IPython.display import Image\n",
+    "url = 'https://netmatze.files.wordpress.com/2014/08/queue.png'\n",
+    "Image(url)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Note how we have two terms here, **Enqueue** and **Dequeue**. The enqueue term describes when we add a new item to the rear of the queue. The dequeue term describes removing the front item from the queue.\n",
+    "\n",
+    "Let's take a look at how pop and push methods would work with a Queue (versus that of a Stack):"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [
+    {
+     "ename": "HTTPError",
+     "evalue": "HTTP Error 404: Not Found",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mHTTPError\u001b[0m                                 Traceback (most recent call last)",
+      "\u001b[0;32m<ipython-input-2-a944ec5ccf87>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0murl2\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m'http://www.csit.parkland.edu/~mbrandyberry/CS2Java/Lessons/Stack_Queue/images/QueuePushPop.jpg'\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m \u001b[0mImage\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0murl2\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
+      "\u001b[0;32m~/.local/lib/python3.8/site-packages/IPython/core/display.py\u001b[0m in \u001b[0;36m__init__\u001b[0;34m(self, data, url, filename, format, embed, width, height, retina, unconfined, metadata)\u001b[0m\n\u001b[1;32m   1229\u001b[0m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mretina\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mretina\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1230\u001b[0m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0munconfined\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0munconfined\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1231\u001b[0;31m         super(Image, self).__init__(data=data, url=url, filename=filename, \n\u001b[0m\u001b[1;32m   1232\u001b[0m                 metadata=metadata)\n\u001b[1;32m   1233\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m~/.local/lib/python3.8/site-packages/IPython/core/display.py\u001b[0m in \u001b[0;36m__init__\u001b[0;34m(self, data, url, filename, metadata)\u001b[0m\n\u001b[1;32m    635\u001b[0m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmetadata\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m{\u001b[0m\u001b[0;34m}\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    636\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 637\u001b[0;31m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mreload\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    638\u001b[0m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_check_data\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    639\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m~/.local/lib/python3.8/site-packages/IPython/core/display.py\u001b[0m in \u001b[0;36mreload\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m   1261\u001b[0m         \u001b[0;34m\"\"\"Reload the raw data from file or URL.\"\"\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1262\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0membed\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1263\u001b[0;31m             \u001b[0msuper\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mImage\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mreload\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1264\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mretina\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1265\u001b[0m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_retina_shape\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m~/.local/lib/python3.8/site-packages/IPython/core/display.py\u001b[0m in \u001b[0;36mreload\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    665\u001b[0m             \u001b[0;31m# Deferred import\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    666\u001b[0m             \u001b[0;32mfrom\u001b[0m \u001b[0murllib\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrequest\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0murlopen\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 667\u001b[0;31m             \u001b[0mresponse\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0murlopen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0murl\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    668\u001b[0m             \u001b[0mdata\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mresponse\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mread\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    669\u001b[0m             \u001b[0;31m# extract encoding from header, if there is one:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/usr/lib/python3.8/urllib/request.py\u001b[0m in \u001b[0;36murlopen\u001b[0;34m(url, data, timeout, cafile, capath, cadefault, context)\u001b[0m\n\u001b[1;32m    220\u001b[0m     \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    221\u001b[0m         \u001b[0mopener\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0m_opener\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 222\u001b[0;31m     \u001b[0;32mreturn\u001b[0m \u001b[0mopener\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mopen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0murl\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdata\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtimeout\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    223\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    224\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0minstall_opener\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mopener\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/usr/lib/python3.8/urllib/request.py\u001b[0m in \u001b[0;36mopen\u001b[0;34m(self, fullurl, data, timeout)\u001b[0m\n\u001b[1;32m    529\u001b[0m         \u001b[0;32mfor\u001b[0m \u001b[0mprocessor\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mprocess_response\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mprotocol\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    530\u001b[0m             \u001b[0mmeth\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mgetattr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mprocessor\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmeth_name\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 531\u001b[0;31m             \u001b[0mresponse\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mmeth\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mreq\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mresponse\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    532\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    533\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0mresponse\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/usr/lib/python3.8/urllib/request.py\u001b[0m in \u001b[0;36mhttp_response\u001b[0;34m(self, request, response)\u001b[0m\n\u001b[1;32m    638\u001b[0m         \u001b[0;31m# request was successfully received, understood, and accepted.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    639\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0;36m200\u001b[0m \u001b[0;34m<=\u001b[0m \u001b[0mcode\u001b[0m \u001b[0;34m<\u001b[0m \u001b[0;36m300\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 640\u001b[0;31m             response = self.parent.error(\n\u001b[0m\u001b[1;32m    641\u001b[0m                 'http', request, response, code, msg, hdrs)\n\u001b[1;32m    642\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/usr/lib/python3.8/urllib/request.py\u001b[0m in \u001b[0;36merror\u001b[0;34m(self, proto, *args)\u001b[0m\n\u001b[1;32m    567\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mhttp_err\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    568\u001b[0m             \u001b[0margs\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0mdict\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'default'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'http_error_default'\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0morig_args\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 569\u001b[0;31m             \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_call_chain\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    570\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    571\u001b[0m \u001b[0;31m# XXX probably also want an abstract factory that knows when it makes\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/usr/lib/python3.8/urllib/request.py\u001b[0m in \u001b[0;36m_call_chain\u001b[0;34m(self, chain, kind, meth_name, *args)\u001b[0m\n\u001b[1;32m    500\u001b[0m         \u001b[0;32mfor\u001b[0m \u001b[0mhandler\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mhandlers\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    501\u001b[0m             \u001b[0mfunc\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mgetattr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mhandler\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmeth_name\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 502\u001b[0;31m             \u001b[0mresult\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mfunc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    503\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0mresult\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    504\u001b[0m                 \u001b[0;32mreturn\u001b[0m \u001b[0mresult\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/usr/lib/python3.8/urllib/request.py\u001b[0m in \u001b[0;36mhttp_error_default\u001b[0;34m(self, req, fp, code, msg, hdrs)\u001b[0m\n\u001b[1;32m    647\u001b[0m \u001b[0;32mclass\u001b[0m \u001b[0mHTTPDefaultErrorHandler\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mBaseHandler\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    648\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mhttp_error_default\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mreq\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfp\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcode\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmsg\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mhdrs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 649\u001b[0;31m         \u001b[0;32mraise\u001b[0m \u001b[0mHTTPError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mreq\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfull_url\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcode\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmsg\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mhdrs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfp\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    650\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    651\u001b[0m \u001b[0;32mclass\u001b[0m \u001b[0mHTTPRedirectHandler\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mBaseHandler\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;31mHTTPError\u001b[0m: HTTP Error 404: Not Found"
+     ]
+    }
+   ],
+   "source": [
+    "url2 = 'http://www.csit.parkland.edu/~mbrandyberry/CS2Java/Lessons/Stack_Queue/images/QueuePushPop.jpg'\n",
+    "Image(url2)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Conclusion\n",
+    "\n",
+    "You should now have a basic understanding of Queues and the FIFO principal for them. In the next lecture we will implement our own Queue class!"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 1
+}
diff --git a/Stacks, Queues and Deques/Implementation of Queue.ipynb b/03-Stacks, Queues and Deques/.ipynb_checkpoints/05-Implementation of Queue-checkpoint.ipynb
similarity index 88%
rename from Stacks, Queues and Deques/Implementation of Queue.ipynb
rename to 03-Stacks, Queues and Deques/.ipynb_checkpoints/05-Implementation of Queue-checkpoint.ipynb
index 23c0e784..4c2cc2eb 100644
--- a/Stacks, Queues and Deques/Implementation of Queue.ipynb	
+++ b/03-Stacks, Queues and Deques/.ipynb_checkpoints/05-Implementation of Queue-checkpoint.ipynb	
@@ -39,9 +39,7 @@
   {
    "cell_type": "code",
    "execution_count": 1,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "class Queue:\n",
@@ -64,9 +62,7 @@
   {
    "cell_type": "code",
    "execution_count": 2,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "q = Queue()"
@@ -75,9 +71,7 @@
   {
    "cell_type": "code",
    "execution_count": 3,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -97,9 +91,7 @@
   {
    "cell_type": "code",
    "execution_count": 4,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -119,9 +111,7 @@
   {
    "cell_type": "code",
    "execution_count": 5,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "q.enqueue(1)"
@@ -130,9 +120,7 @@
   {
    "cell_type": "code",
    "execution_count": 6,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -159,23 +147,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.10"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/03-Stacks, Queues and Deques/.ipynb_checkpoints/06-Deques Overview-checkpoint.ipynb b/03-Stacks, Queues and Deques/.ipynb_checkpoints/06-Deques Overview-checkpoint.ipynb
new file mode 100644
index 00000000..f9b805fc
--- /dev/null
+++ b/03-Stacks, Queues and Deques/.ipynb_checkpoints/06-Deques Overview-checkpoint.ipynb	
@@ -0,0 +1,67 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Deques Overview\n",
+    "\n",
+    "A deque, also known as a double-ended queue, is an ordered collection of items similar to the queue. It has two ends, a front and a rear, and the items remain positioned in the collection. What makes a deque different is the unrestrictive nature of adding and removing items. New items can be added at either the front or the rear. Likewise, existing items can be removed from either end. In a sense, this hybrid linear structure provides all the capabilities of stacks and queues in a single data structure. \n",
+    "\n",
+    "It is important to note that even though the deque can assume many of the characteristics of stacks and queues, it does not require the LIFO and FIFO orderings that are enforced by those data structures. It is up to you to make consistent use of the addition and removal operations.\n",
+    "\n",
+    "Let's see an Image to visualize the Deque Data Structure:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<IPython.core.display.Image object>"
+      ]
+     },
+     "execution_count": 1,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "from IPython.display import Image\n",
+    "Image('http://www.codeproject.com/KB/recipes/669131/deque.png')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Note how we can both add and remove from the front and the back of the Deque. In the next lecture, we will implement our own Deque class!"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 1
+}
diff --git a/Stacks, Queues and Deques/.ipynb_checkpoints/Implementation of Deque-checkpoint.ipynb b/03-Stacks, Queues and Deques/.ipynb_checkpoints/07-Implementation of Deque-checkpoint.ipynb
similarity index 80%
rename from Stacks, Queues and Deques/.ipynb_checkpoints/Implementation of Deque-checkpoint.ipynb
rename to 03-Stacks, Queues and Deques/.ipynb_checkpoints/07-Implementation of Deque-checkpoint.ipynb
index 9016eaa9..68822c47 100644
--- a/Stacks, Queues and Deques/.ipynb_checkpoints/Implementation of Deque-checkpoint.ipynb	
+++ b/03-Stacks, Queues and Deques/.ipynb_checkpoints/07-Implementation of Deque-checkpoint.ipynb	
@@ -24,9 +24,7 @@
   {
    "cell_type": "code",
    "execution_count": 1,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "class Deque:\n",
@@ -54,10 +52,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 2,
+   "metadata": {},
    "outputs": [],
    "source": [
     "d = Deque()"
@@ -65,10 +61,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 3,
+   "metadata": {},
    "outputs": [],
    "source": [
     "d.addFront('hello')"
@@ -76,10 +70,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 4,
+   "metadata": {},
    "outputs": [],
    "source": [
     "d.addRear('world')"
@@ -87,10 +79,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 5,
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -98,7 +88,7 @@
        "2"
       ]
      },
-     "execution_count": 13,
+     "execution_count": 5,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -109,10 +99,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 6,
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -123,15 +111,13 @@
     }
    ],
    "source": [
-    "print d.removeFront() + ' ' +  d.removeRear()"
+    "print(d.removeFront() + ' ' +  d.removeRear())"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 7,
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -139,7 +125,7 @@
        "0"
       ]
      },
-     "execution_count": 15,
+     "execution_count": 7,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -158,23 +144,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.10"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Stacks, Queues and Deques/Stacks, Queues, and Deques Overview.ipynb b/03-Stacks, Queues and Deques/01-Stacks, Queues, and Deques Overview.ipynb
similarity index 90%
rename from Stacks, Queues and Deques/Stacks, Queues, and Deques Overview.ipynb
rename to 03-Stacks, Queues and Deques/01-Stacks, Queues, and Deques Overview.ipynb
index e020c9b7..42dbbded 100644
--- a/Stacks, Queues and Deques/Stacks, Queues, and Deques Overview.ipynb	
+++ b/03-Stacks, Queues and Deques/01-Stacks, Queues, and Deques Overview.ipynb	
@@ -31,23 +31,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.10"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/03-Stacks, Queues and Deques/02-Stacks Overview.ipynb b/03-Stacks, Queues and Deques/02-Stacks Overview.ipynb
new file mode 100644
index 00000000..038a04af
--- /dev/null
+++ b/03-Stacks, Queues and Deques/02-Stacks Overview.ipynb	
@@ -0,0 +1,92 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Stacks Overview\n",
+    "\n",
+    "**Please see the lecture video for the full Overview on Stacks!**"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "____\n",
+    "\n",
+    "A stack is an ordered collection of items where the addition of new items and the removal of existing items always takes place at the same end. This end is commonly referred to as the “top.” The end opposite the top is known as the “base.” \n",
+    "\n",
+    "The base of the stack is significant since items stored in the stack that are closer to the base represent those that have been in the stack the longest. The most recently added item is the one that is in position to be removed first. \n",
+    "\n",
+    "**This ordering principle is sometimes called LIFO, last-in first-out.** It provides an ordering based on length of time in the collection. Newer items are near the top, while older items are near the base.\n",
+    "\n",
+    "For example, consider the figure below:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<IPython.core.display.Image object>"
+      ]
+     },
+     "execution_count": 1,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "from IPython.display import Image\n",
+    "url ='https://upload.wikimedia.org/wikipedia/commons/b/b4/Lifo_stack.png'\n",
+    "\n",
+    "Image(url)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Note how the first items \"pushed\" to the stack begin at the base, and as items are \"popped\" out. Stacks are fundamentally important, as they can be used to reverse the order of items. The order of insertion is the reverse of the order of removal.\n",
+    "\n",
+    "Considering this reversal property, you can perhaps think of examples of stacks that occur as you use your computer. For example, every web browser has a Back button. As you navigate from web page to web page, those pages are placed on a stack (actually it is the URLs that are going on the stack). The current page that you are viewing is on the top and the first page you looked at is at the base. If you click on the Back button, you begin to move in reverse order through the pages.\n",
+    "\n",
+    "In the next lecture we will implement our own Stack class!"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Extra Resources:\n",
+    "[Wikipedia Page on Stacks](http://bit.ly/1OJybGQ)"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 1
+}
diff --git a/Stacks, Queues and Deques/Implementation of Stack.ipynb b/03-Stacks, Queues and Deques/03-Implementation of Stack.ipynb
similarity index 84%
rename from Stacks, Queues and Deques/Implementation of Stack.ipynb
rename to 03-Stacks, Queues and Deques/03-Implementation of Stack.ipynb
index fc3983dd..921d820c 100644
--- a/Stacks, Queues and Deques/Implementation of Stack.ipynb	
+++ b/03-Stacks, Queues and Deques/03-Implementation of Stack.ipynb	
@@ -31,10 +31,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 1,
+   "metadata": {},
    "outputs": [],
    "source": [
     "class Stack:\n",
@@ -68,10 +66,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 2,
+   "metadata": {},
    "outputs": [],
    "source": [
     "s = Stack()"
@@ -79,10 +75,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 3,
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -93,15 +87,13 @@
     }
    ],
    "source": [
-    "print s.isEmpty()"
+    "print(s.isEmpty())"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 4,
+   "metadata": {},
    "outputs": [],
    "source": [
     "s.push(1)"
@@ -109,10 +101,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 5,
+   "metadata": {},
    "outputs": [],
    "source": [
     "s.push('two')"
@@ -120,10 +110,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 6,
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -131,7 +119,7 @@
        "'two'"
       ]
      },
-     "execution_count": 7,
+     "execution_count": 6,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -142,10 +130,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 7,
+   "metadata": {},
    "outputs": [],
    "source": [
     "s.push(True)"
@@ -153,10 +139,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 8,
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -164,7 +148,7 @@
        "3"
       ]
      },
-     "execution_count": 9,
+     "execution_count": 8,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -175,10 +159,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 9,
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -186,7 +168,7 @@
        "False"
       ]
      },
-     "execution_count": 10,
+     "execution_count": 9,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -197,10 +179,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 10,
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -208,7 +188,7 @@
        "True"
       ]
      },
-     "execution_count": 11,
+     "execution_count": 10,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -219,17 +199,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 11,
+   "metadata": {},
    "outputs": [
     {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "two\n"
-     ]
+     "data": {
+      "text/plain": [
+       "'two'"
+      ]
+     },
+     "execution_count": 11,
+     "metadata": {},
+     "output_type": "execute_result"
     }
    ],
    "source": [
@@ -238,10 +219,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 12,
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -249,7 +228,7 @@
        "1"
       ]
      },
-     "execution_count": 13,
+     "execution_count": 12,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -260,10 +239,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 13,
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -271,7 +248,7 @@
        "1"
       ]
      },
-     "execution_count": 14,
+     "execution_count": 13,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -282,10 +259,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 14,
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -293,7 +268,7 @@
        "True"
       ]
      },
-     "execution_count": 15,
+     "execution_count": 14,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -312,23 +287,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.10"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/03-Stacks, Queues and Deques/04-Queues Overview.ipynb b/03-Stacks, Queues and Deques/04-Queues Overview.ipynb
new file mode 100644
index 00000000..d16ebe90
--- /dev/null
+++ b/03-Stacks, Queues and Deques/04-Queues Overview.ipynb	
@@ -0,0 +1,121 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Queues Overview\n",
+    "\n",
+    "In this lecture we will get an overview of what a Queue is, in the next lecture we will implement our own Queue class."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "____\n",
+    "A **queue** is an ordered collection of items where the addition of new items happens at one end, called the “rear,” and the removal of existing items occurs at the other end, commonly called the “front.” As an element enters the queue it starts at the rear and makes its way toward the front, waiting until that time when it is the next element to be removed.\n",
+    "\n",
+    "The most recently added item in the queue must wait at the end of the collection. The item that has been in the collection the longest is at the front. This ordering principle is sometimes called **FIFO, first-in first-out**. It is also known as “first-come first-served.”\n",
+    "\n",
+    "The simplest example of a queue is the typical line that we all participate in from time to time. We wait in a line for a movie, we wait in the check-out line at a grocery store, and we wait in the cafeteria line. The first person in that line is also the first person to get serviced/helped. \n",
+    "\n",
+    "Let's see a diagram which shows this and compares it to the Stack Data Structure:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<IPython.core.display.Image object>"
+      ]
+     },
+     "execution_count": 1,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "from IPython.display import Image\n",
+    "url = 'https://netmatze.files.wordpress.com/2014/08/queue.png'\n",
+    "Image(url)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Note how we have two terms here, **Enqueue** and **Dequeue**. The enqueue term describes when we add a new item to the rear of the queue. The dequeue term describes removing the front item from the queue.\n",
+    "\n",
+    "Let's take a look at how pop and push methods would work with a Queue (versus that of a Stack):"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [
+    {
+     "ename": "HTTPError",
+     "evalue": "HTTP Error 404: Not Found",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mHTTPError\u001b[0m                                 Traceback (most recent call last)",
+      "\u001b[0;32m<ipython-input-2-a944ec5ccf87>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0murl2\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m'http://www.csit.parkland.edu/~mbrandyberry/CS2Java/Lessons/Stack_Queue/images/QueuePushPop.jpg'\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m \u001b[0mImage\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0murl2\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
+      "\u001b[0;32m~/.local/lib/python3.8/site-packages/IPython/core/display.py\u001b[0m in \u001b[0;36m__init__\u001b[0;34m(self, data, url, filename, format, embed, width, height, retina, unconfined, metadata)\u001b[0m\n\u001b[1;32m   1229\u001b[0m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mretina\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mretina\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1230\u001b[0m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0munconfined\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0munconfined\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1231\u001b[0;31m         super(Image, self).__init__(data=data, url=url, filename=filename, \n\u001b[0m\u001b[1;32m   1232\u001b[0m                 metadata=metadata)\n\u001b[1;32m   1233\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m~/.local/lib/python3.8/site-packages/IPython/core/display.py\u001b[0m in \u001b[0;36m__init__\u001b[0;34m(self, data, url, filename, metadata)\u001b[0m\n\u001b[1;32m    635\u001b[0m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmetadata\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m{\u001b[0m\u001b[0;34m}\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    636\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 637\u001b[0;31m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mreload\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    638\u001b[0m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_check_data\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    639\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m~/.local/lib/python3.8/site-packages/IPython/core/display.py\u001b[0m in \u001b[0;36mreload\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m   1261\u001b[0m         \u001b[0;34m\"\"\"Reload the raw data from file or URL.\"\"\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1262\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0membed\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1263\u001b[0;31m             \u001b[0msuper\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mImage\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mreload\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1264\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mretina\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1265\u001b[0m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_retina_shape\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m~/.local/lib/python3.8/site-packages/IPython/core/display.py\u001b[0m in \u001b[0;36mreload\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    665\u001b[0m             \u001b[0;31m# Deferred import\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    666\u001b[0m             \u001b[0;32mfrom\u001b[0m \u001b[0murllib\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrequest\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0murlopen\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 667\u001b[0;31m             \u001b[0mresponse\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0murlopen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0murl\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    668\u001b[0m             \u001b[0mdata\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mresponse\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mread\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    669\u001b[0m             \u001b[0;31m# extract encoding from header, if there is one:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/usr/lib/python3.8/urllib/request.py\u001b[0m in \u001b[0;36murlopen\u001b[0;34m(url, data, timeout, cafile, capath, cadefault, context)\u001b[0m\n\u001b[1;32m    220\u001b[0m     \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    221\u001b[0m         \u001b[0mopener\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0m_opener\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 222\u001b[0;31m     \u001b[0;32mreturn\u001b[0m \u001b[0mopener\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mopen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0murl\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdata\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtimeout\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    223\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    224\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0minstall_opener\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mopener\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/usr/lib/python3.8/urllib/request.py\u001b[0m in \u001b[0;36mopen\u001b[0;34m(self, fullurl, data, timeout)\u001b[0m\n\u001b[1;32m    529\u001b[0m         \u001b[0;32mfor\u001b[0m \u001b[0mprocessor\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mprocess_response\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mprotocol\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    530\u001b[0m             \u001b[0mmeth\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mgetattr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mprocessor\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmeth_name\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 531\u001b[0;31m             \u001b[0mresponse\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mmeth\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mreq\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mresponse\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    532\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    533\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0mresponse\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/usr/lib/python3.8/urllib/request.py\u001b[0m in \u001b[0;36mhttp_response\u001b[0;34m(self, request, response)\u001b[0m\n\u001b[1;32m    638\u001b[0m         \u001b[0;31m# request was successfully received, understood, and accepted.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    639\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0;36m200\u001b[0m \u001b[0;34m<=\u001b[0m \u001b[0mcode\u001b[0m \u001b[0;34m<\u001b[0m \u001b[0;36m300\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 640\u001b[0;31m             response = self.parent.error(\n\u001b[0m\u001b[1;32m    641\u001b[0m                 'http', request, response, code, msg, hdrs)\n\u001b[1;32m    642\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/usr/lib/python3.8/urllib/request.py\u001b[0m in \u001b[0;36merror\u001b[0;34m(self, proto, *args)\u001b[0m\n\u001b[1;32m    567\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mhttp_err\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    568\u001b[0m             \u001b[0margs\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0mdict\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'default'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'http_error_default'\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0morig_args\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 569\u001b[0;31m             \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_call_chain\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    570\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    571\u001b[0m \u001b[0;31m# XXX probably also want an abstract factory that knows when it makes\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/usr/lib/python3.8/urllib/request.py\u001b[0m in \u001b[0;36m_call_chain\u001b[0;34m(self, chain, kind, meth_name, *args)\u001b[0m\n\u001b[1;32m    500\u001b[0m         \u001b[0;32mfor\u001b[0m \u001b[0mhandler\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mhandlers\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    501\u001b[0m             \u001b[0mfunc\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mgetattr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mhandler\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmeth_name\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 502\u001b[0;31m             \u001b[0mresult\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mfunc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    503\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0mresult\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    504\u001b[0m                 \u001b[0;32mreturn\u001b[0m \u001b[0mresult\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/usr/lib/python3.8/urllib/request.py\u001b[0m in \u001b[0;36mhttp_error_default\u001b[0;34m(self, req, fp, code, msg, hdrs)\u001b[0m\n\u001b[1;32m    647\u001b[0m \u001b[0;32mclass\u001b[0m \u001b[0mHTTPDefaultErrorHandler\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mBaseHandler\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    648\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mhttp_error_default\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mreq\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfp\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcode\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmsg\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mhdrs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 649\u001b[0;31m         \u001b[0;32mraise\u001b[0m \u001b[0mHTTPError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mreq\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfull_url\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcode\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmsg\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mhdrs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfp\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    650\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    651\u001b[0m \u001b[0;32mclass\u001b[0m \u001b[0mHTTPRedirectHandler\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mBaseHandler\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;31mHTTPError\u001b[0m: HTTP Error 404: Not Found"
+     ]
+    }
+   ],
+   "source": [
+    "url2 = 'http://www.csit.parkland.edu/~mbrandyberry/CS2Java/Lessons/Stack_Queue/images/QueuePushPop.jpg'\n",
+    "Image(url2)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Conclusion\n",
+    "\n",
+    "You should now have a basic understanding of Queues and the FIFO principal for them. In the next lecture we will implement our own Queue class!"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 1
+}
diff --git a/Stacks, Queues and Deques/.ipynb_checkpoints/Implementation of Queue-checkpoint.ipynb b/03-Stacks, Queues and Deques/05-Implementation of Queue.ipynb
similarity index 88%
rename from Stacks, Queues and Deques/.ipynb_checkpoints/Implementation of Queue-checkpoint.ipynb
rename to 03-Stacks, Queues and Deques/05-Implementation of Queue.ipynb
index 23c0e784..4c2cc2eb 100644
--- a/Stacks, Queues and Deques/.ipynb_checkpoints/Implementation of Queue-checkpoint.ipynb	
+++ b/03-Stacks, Queues and Deques/05-Implementation of Queue.ipynb	
@@ -39,9 +39,7 @@
   {
    "cell_type": "code",
    "execution_count": 1,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "class Queue:\n",
@@ -64,9 +62,7 @@
   {
    "cell_type": "code",
    "execution_count": 2,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "q = Queue()"
@@ -75,9 +71,7 @@
   {
    "cell_type": "code",
    "execution_count": 3,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -97,9 +91,7 @@
   {
    "cell_type": "code",
    "execution_count": 4,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -119,9 +111,7 @@
   {
    "cell_type": "code",
    "execution_count": 5,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "q.enqueue(1)"
@@ -130,9 +120,7 @@
   {
    "cell_type": "code",
    "execution_count": 6,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -159,23 +147,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.10"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/03-Stacks, Queues and Deques/06-Deques Overview.ipynb b/03-Stacks, Queues and Deques/06-Deques Overview.ipynb
new file mode 100644
index 00000000..f9b805fc
--- /dev/null
+++ b/03-Stacks, Queues and Deques/06-Deques Overview.ipynb	
@@ -0,0 +1,67 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Deques Overview\n",
+    "\n",
+    "A deque, also known as a double-ended queue, is an ordered collection of items similar to the queue. It has two ends, a front and a rear, and the items remain positioned in the collection. What makes a deque different is the unrestrictive nature of adding and removing items. New items can be added at either the front or the rear. Likewise, existing items can be removed from either end. In a sense, this hybrid linear structure provides all the capabilities of stacks and queues in a single data structure. \n",
+    "\n",
+    "It is important to note that even though the deque can assume many of the characteristics of stacks and queues, it does not require the LIFO and FIFO orderings that are enforced by those data structures. It is up to you to make consistent use of the addition and removal operations.\n",
+    "\n",
+    "Let's see an Image to visualize the Deque Data Structure:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<IPython.core.display.Image object>"
+      ]
+     },
+     "execution_count": 1,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "from IPython.display import Image\n",
+    "Image('http://www.codeproject.com/KB/recipes/669131/deque.png')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Note how we can both add and remove from the front and the back of the Deque. In the next lecture, we will implement our own Deque class!"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 1
+}
diff --git a/Stacks, Queues and Deques/Implementation of Deque.ipynb b/03-Stacks, Queues and Deques/07-Implementation of Deque.ipynb
similarity index 80%
rename from Stacks, Queues and Deques/Implementation of Deque.ipynb
rename to 03-Stacks, Queues and Deques/07-Implementation of Deque.ipynb
index 9016eaa9..68822c47 100644
--- a/Stacks, Queues and Deques/Implementation of Deque.ipynb	
+++ b/03-Stacks, Queues and Deques/07-Implementation of Deque.ipynb	
@@ -24,9 +24,7 @@
   {
    "cell_type": "code",
    "execution_count": 1,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "class Deque:\n",
@@ -54,10 +52,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 2,
+   "metadata": {},
    "outputs": [],
    "source": [
     "d = Deque()"
@@ -65,10 +61,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 3,
+   "metadata": {},
    "outputs": [],
    "source": [
     "d.addFront('hello')"
@@ -76,10 +70,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 4,
+   "metadata": {},
    "outputs": [],
    "source": [
     "d.addRear('world')"
@@ -87,10 +79,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 5,
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -98,7 +88,7 @@
        "2"
       ]
      },
-     "execution_count": 13,
+     "execution_count": 5,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -109,10 +99,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 6,
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -123,15 +111,13 @@
     }
    ],
    "source": [
-    "print d.removeFront() + ' ' +  d.removeRear()"
+    "print(d.removeFront() + ' ' +  d.removeRear())"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 7,
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -139,7 +125,7 @@
        "0"
       ]
      },
-     "execution_count": 15,
+     "execution_count": 7,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -158,23 +144,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.10"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions  - PRACTICE/Implement a Stack .ipynb b/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions  - PRACTICE/.ipynb_checkpoints/01-Implement a Stack -checkpoint.ipynb
similarity index 88%
rename from Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions  - PRACTICE/Implement a Stack .ipynb
rename to 03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions  - PRACTICE/.ipynb_checkpoints/01-Implement a Stack -checkpoint.ipynb
index d0f206c3..4900587f 100644
--- a/Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions  - PRACTICE/Implement a Stack .ipynb	
+++ b/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions  - PRACTICE/.ipynb_checkpoints/01-Implement a Stack -checkpoint.ipynb	
@@ -19,7 +19,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 78,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -42,7 +42,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 68,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -51,7 +51,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 69,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [
     {
@@ -60,7 +60,7 @@
        "0"
       ]
      },
-     "execution_count": 69,
+     "execution_count": 3,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -71,7 +71,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 70,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -80,7 +80,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 71,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -89,7 +89,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 72,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -98,7 +98,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 73,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [
     {
@@ -107,7 +107,7 @@
        "'Three'"
       ]
      },
-     "execution_count": 73,
+     "execution_count": 7,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -118,7 +118,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 74,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [
     {
@@ -127,7 +127,7 @@
        "2"
       ]
      },
-     "execution_count": 74,
+     "execution_count": 8,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -138,7 +138,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 75,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [
     {
@@ -147,7 +147,7 @@
        "1"
       ]
      },
-     "execution_count": 75,
+     "execution_count": 9,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -158,7 +158,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 76,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [
     {
@@ -167,7 +167,7 @@
        "False"
       ]
      },
-     "execution_count": 76,
+     "execution_count": 10,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -178,7 +178,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 77,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [
     {
@@ -187,7 +187,7 @@
        "1"
       ]
      },
-     "execution_count": 77,
+     "execution_count": 11,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -220,7 +220,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.2"
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
diff --git a/Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions  - PRACTICE/Implement a Queue.ipynb b/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions  - PRACTICE/.ipynb_checkpoints/02-Implement a Queue-checkpoint.ipynb
similarity index 96%
rename from Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions  - PRACTICE/Implement a Queue.ipynb
rename to 03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions  - PRACTICE/.ipynb_checkpoints/02-Implement a Queue-checkpoint.ipynb
index 2a758805..3537bdaa 100644
--- a/Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions  - PRACTICE/Implement a Queue.ipynb	
+++ b/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions  - PRACTICE/.ipynb_checkpoints/02-Implement a Queue-checkpoint.ipynb	
@@ -16,7 +16,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -36,7 +36,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [
     {
@@ -54,7 +54,7 @@
        "True"
       ]
      },
-     "execution_count": 7,
+     "execution_count": 2,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -96,7 +96,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.2"
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
diff --git a/Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions  - PRACTICE/Implement a Deque .ipynb b/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions  - PRACTICE/.ipynb_checkpoints/03-Implement a Deque -checkpoint.ipynb
similarity index 93%
rename from Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions  - PRACTICE/Implement a Deque .ipynb
rename to 03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions  - PRACTICE/.ipynb_checkpoints/03-Implement a Deque -checkpoint.ipynb
index 2fd35590..645fba0f 100644
--- a/Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions  - PRACTICE/Implement a Deque .ipynb	
+++ b/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions  - PRACTICE/.ipynb_checkpoints/03-Implement a Deque -checkpoint.ipynb	
@@ -16,7 +16,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -40,7 +40,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -49,7 +49,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [
     {
@@ -58,7 +58,7 @@
        "0"
       ]
      },
-     "execution_count": 5,
+     "execution_count": 3,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -69,7 +69,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -78,7 +78,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -87,7 +87,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -96,7 +96,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [
     {
@@ -105,7 +105,7 @@
        "1"
       ]
      },
-     "execution_count": 10,
+     "execution_count": 7,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -116,7 +116,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [
     {
@@ -125,7 +125,7 @@
        "3"
       ]
      },
-     "execution_count": 11,
+     "execution_count": 8,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -136,7 +136,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [
     {
@@ -145,7 +145,7 @@
        "2"
       ]
      },
-     "execution_count": 12,
+     "execution_count": 9,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -156,7 +156,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [
     {
@@ -165,7 +165,7 @@
        "True"
       ]
      },
-     "execution_count": 13,
+     "execution_count": 10,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -198,7 +198,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.2"
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
diff --git a/Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions  - PRACTICE/Balanced Parentheses Check .ipynb b/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions  - PRACTICE/.ipynb_checkpoints/04-Balanced Parentheses Check -checkpoint.ipynb
similarity index 97%
rename from Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions  - PRACTICE/Balanced Parentheses Check .ipynb
rename to 03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions  - PRACTICE/.ipynb_checkpoints/04-Balanced Parentheses Check -checkpoint.ipynb
index 40a0f8e4..0c7613c5 100644
--- a/Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions  - PRACTICE/Balanced Parentheses Check .ipynb	
+++ b/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions  - PRACTICE/.ipynb_checkpoints/04-Balanced Parentheses Check -checkpoint.ipynb	
@@ -20,7 +20,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -39,7 +39,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [
     {
@@ -48,7 +48,7 @@
        "True"
       ]
      },
-     "execution_count": 3,
+     "execution_count": 2,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -59,7 +59,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [
     {
@@ -68,7 +68,7 @@
        "True"
       ]
      },
-     "execution_count": 4,
+     "execution_count": 3,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -79,7 +79,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [
     {
@@ -88,7 +88,7 @@
        "False"
       ]
      },
-     "execution_count": 5,
+     "execution_count": 4,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -106,7 +106,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [
     {
@@ -161,7 +161,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.2"
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
diff --git a/Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions  - PRACTICE/Implement a Queue -Using Two Stacks .ipynb b/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions  - PRACTICE/.ipynb_checkpoints/05-Implement a Queue -Using Two Stacks -checkpoint.ipynb
similarity index 94%
rename from Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions  - PRACTICE/Implement a Queue -Using Two Stacks .ipynb
rename to 03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions  - PRACTICE/.ipynb_checkpoints/05-Implement a Queue -Using Two Stacks -checkpoint.ipynb
index 521c8245..36a83851 100644
--- a/Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions  - PRACTICE/Implement a Queue -Using Two Stacks .ipynb	
+++ b/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions  - PRACTICE/.ipynb_checkpoints/05-Implement a Queue -Using Two Stacks -checkpoint.ipynb	
@@ -11,10 +11,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 30,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 1,
+   "metadata": {},
    "outputs": [],
    "source": [
     "# Uses lists instead of your own Stack class.\n",
@@ -33,7 +31,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 42,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -71,7 +69,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 43,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [
     {
@@ -123,7 +121,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.2"
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
diff --git a/Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions  - PRACTICE/.ipynb_checkpoints/Balanced Parentheses Check -checkpoint.ipynb b/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions  - PRACTICE/.ipynb_checkpoints/Balanced Parentheses Check -checkpoint.ipynb
similarity index 100%
rename from Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions  - PRACTICE/.ipynb_checkpoints/Balanced Parentheses Check -checkpoint.ipynb
rename to 03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions  - PRACTICE/.ipynb_checkpoints/Balanced Parentheses Check -checkpoint.ipynb
diff --git a/Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions  - PRACTICE/.ipynb_checkpoints/Implement a Deque -checkpoint.ipynb b/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions  - PRACTICE/.ipynb_checkpoints/Implement a Deque -checkpoint.ipynb
similarity index 100%
rename from Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions  - PRACTICE/.ipynb_checkpoints/Implement a Deque -checkpoint.ipynb
rename to 03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions  - PRACTICE/.ipynb_checkpoints/Implement a Deque -checkpoint.ipynb
diff --git a/Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions  - PRACTICE/.ipynb_checkpoints/Implement a Queue -Using Two Stacks -checkpoint.ipynb b/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions  - PRACTICE/.ipynb_checkpoints/Implement a Queue -Using Two Stacks -checkpoint.ipynb
similarity index 100%
rename from Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions  - PRACTICE/.ipynb_checkpoints/Implement a Queue -Using Two Stacks -checkpoint.ipynb
rename to 03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions  - PRACTICE/.ipynb_checkpoints/Implement a Queue -Using Two Stacks -checkpoint.ipynb
diff --git a/Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions  - PRACTICE/.ipynb_checkpoints/Implement a Queue-checkpoint.ipynb b/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions  - PRACTICE/.ipynb_checkpoints/Implement a Queue-checkpoint.ipynb
similarity index 100%
rename from Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions  - PRACTICE/.ipynb_checkpoints/Implement a Queue-checkpoint.ipynb
rename to 03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions  - PRACTICE/.ipynb_checkpoints/Implement a Queue-checkpoint.ipynb
diff --git a/Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions  - PRACTICE/.ipynb_checkpoints/Implement a Stack -checkpoint.ipynb b/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions  - PRACTICE/.ipynb_checkpoints/Implement a Stack -checkpoint.ipynb
similarity index 100%
rename from Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions  - PRACTICE/.ipynb_checkpoints/Implement a Stack -checkpoint.ipynb
rename to 03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions  - PRACTICE/.ipynb_checkpoints/Implement a Stack -checkpoint.ipynb
diff --git a/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions  - PRACTICE/01-Implement a Stack .ipynb b/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions  - PRACTICE/01-Implement a Stack .ipynb
new file mode 100644
index 00000000..4900587f
--- /dev/null
+++ b/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions  - PRACTICE/01-Implement a Stack .ipynb	
@@ -0,0 +1,228 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Implement a Stack \n",
+    "\n",
+    "A very common interview question is to begin by just implementing a Stack! Try your best to implement your own stack!\n",
+    "\n",
+    "It should have the methods:\n",
+    "\n",
+    "* Check if its empty\n",
+    "* Push a new item\n",
+    "* Pop an item\n",
+    "* Peek at the top item\n",
+    "* Return the size"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "class Stack(object):\n",
+    "    # Fill out the Stack Methods here\n",
+    "    def __init__(self):\n",
+    "        self.items = []\n",
+    "    def isEmpty(self):\n",
+    "        return len(self.items) == 0\n",
+    "    def push(self, e):\n",
+    "        self.items.append(e)\n",
+    "    def pop(self):\n",
+    "        return self.items.pop()\n",
+    "    def size(self):\n",
+    "        return len(self.items)\n",
+    "    def peek(self):\n",
+    "        return self.items[self.size()-1] # reuse the size funtion\n",
+    "    pass"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "stack = Stack()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "stack.size()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "stack.push(1)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "stack.push(2)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "stack.push('Three')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'Three'"
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "stack.pop()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "2"
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "stack.pop()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "1"
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "stack.size()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "False"
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "stack.isEmpty()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "1"
+      ]
+     },
+     "execution_count": 11,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "stack.peek()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 1
+}
diff --git a/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions  - PRACTICE/02-Implement a Queue.ipynb b/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions  - PRACTICE/02-Implement a Queue.ipynb
new file mode 100644
index 00000000..3537bdaa
--- /dev/null
+++ b/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions  - PRACTICE/02-Implement a Queue.ipynb	
@@ -0,0 +1,104 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Implement a Queue\n",
+    "\n",
+    "It's very common to be asked to implement a Queue class! The class should be able to do the following:\n",
+    "\n",
+    "* Check if Queue is Empty\n",
+    "* Enqueue\n",
+    "* Dequeue\n",
+    "* Return the size of the Queue"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "class Queue(object):\n",
+    "    def __init__(self):\n",
+    "        self.items = []\n",
+    "    def is_empty(self):\n",
+    "        return self.items == []\n",
+    "    def enqueue(self, e):\n",
+    "        self.items.insert(0, e)\n",
+    "    def dequeue(self):\n",
+    "        return self.items.pop()\n",
+    "    def size(self):\n",
+    "        return len(self.items)\n",
+    "    pass"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "1\n",
+      "two\n",
+      "3\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "True"
+      ]
+     },
+     "execution_count": 2,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "q = Queue()\n",
+    "q.is_empty()\n",
+    "q.enqueue(1)\n",
+    "q.enqueue('two')\n",
+    "q.enqueue(3)\n",
+    "q.size()\n",
+    "print(q.dequeue())\n",
+    "print(q.dequeue())\n",
+    "print(q.dequeue())\n",
+    "q.is_empty()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 1
+}
diff --git a/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions  - PRACTICE/03-Implement a Deque .ipynb b/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions  - PRACTICE/03-Implement a Deque .ipynb
new file mode 100644
index 00000000..645fba0f
--- /dev/null
+++ b/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions  - PRACTICE/03-Implement a Deque .ipynb	
@@ -0,0 +1,206 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Implement a Deque \n",
+    "\n",
+    "Finally, implement a Deque class! It should be able to do the following:\n",
+    "\n",
+    "* Check if its empty\n",
+    "* Add to both front and rear\n",
+    "* Remove from Front and Rear\n",
+    "* Check the Size"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "class Deque(object):\n",
+    "    def __init__(self):\n",
+    "        self.items = []\n",
+    "    def is_empty(self):\n",
+    "        return self.items == []\n",
+    "    def add_front(self, e):\n",
+    "        self.items.insert(0, e)\n",
+    "    def add_rear(self, e):\n",
+    "        self.items.append(e)\n",
+    "    def remove_front(self):\n",
+    "        return self.items.pop(0)\n",
+    "    def remove_rear(self):\n",
+    "        return self.items.pop()\n",
+    "    def size(self):\n",
+    "        return len(self.items)\n",
+    "    pass"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "deq = Deque()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "deq.size()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "deq.add_front(2)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "deq.add_front(1)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "deq.add_rear(3)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "1"
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "deq.remove_front()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "3"
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "deq.remove_rear()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "2"
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "deq.remove_rear()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "True"
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "deq.is_empty()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 1
+}
diff --git a/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions  - PRACTICE/04-Balanced Parentheses Check .ipynb b/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions  - PRACTICE/04-Balanced Parentheses Check .ipynb
new file mode 100644
index 00000000..0c7613c5
--- /dev/null
+++ b/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions  - PRACTICE/04-Balanced Parentheses Check .ipynb	
@@ -0,0 +1,169 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Balanced Parentheses Check \n",
+    "\n",
+    "## Problem Statement\n",
+    "\n",
+    "Given a string of opening and closing parentheses, check whether it’s balanced. We have 3 types of parentheses: round brackets: (), square brackets: [], and curly brackets: {}. Assume that the string doesn’t contain any other character than these, no spaces words or numbers. As a reminder, balanced parentheses require every opening parenthesis to be closed in the reverse order opened. For example ‘([])’ is balanced but ‘([)]’ is not. \n",
+    "\n",
+    "\n",
+    "You can assume the input string has no spaces.\n",
+    "\n",
+    "## Solution\n",
+    "\n",
+    "Fill out your solution below:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def balance_check(s):\n",
+    "    chars = []\n",
+    "    matches = {')':'(',']':'[','}':'{'}\n",
+    "    for c in s:\n",
+    "        if c in matches:\n",
+    "            if chars.pop() != matches[c]:\n",
+    "                return False\n",
+    "        else:\n",
+    "            chars.append(c)\n",
+    "    return chars == []        \n",
+    "    pass"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "True"
+      ]
+     },
+     "execution_count": 2,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "balance_check('[]')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "True"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "balance_check('[](){([[[]]])}')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "False"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "balance_check('()(){]}')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Test Your Solution"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "ALL TEST CASES PASSED\n"
+     ]
+    }
+   ],
+   "source": [
+    "\"\"\"\n",
+    "RUN THIS CELL TO TEST YOUR SOLUTION\n",
+    "\"\"\"\n",
+    "from nose.tools import assert_equal\n",
+    "\n",
+    "class TestBalanceCheck(object):\n",
+    "    \n",
+    "    def test(self,sol):\n",
+    "        assert_equal(sol('[](){([[[]]])}('),False)\n",
+    "        assert_equal(sol('[{{{(())}}}]((()))'),True)\n",
+    "        assert_equal(sol('[[[]])]'),False)\n",
+    "        print ('ALL TEST CASES PASSED')\n",
+    "        \n",
+    "# Run Tests\n",
+    "\n",
+    "t = TestBalanceCheck()\n",
+    "t.test(balance_check)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Good Job!"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 1
+}
diff --git a/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions  - PRACTICE/05-Implement a Queue -Using Two Stacks .ipynb b/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions  - PRACTICE/05-Implement a Queue -Using Two Stacks .ipynb
new file mode 100644
index 00000000..36a83851
--- /dev/null
+++ b/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions  - PRACTICE/05-Implement a Queue -Using Two Stacks .ipynb	
@@ -0,0 +1,129 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Implement a Queue - Using Two Stacks\n",
+    "\n",
+    "Given the Stack class below, implement a Queue class using **two** stacks! Note, this is a \"classic\" interview problem. Use a Python list data structure as your Stack."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Uses lists instead of your own Stack class.\n",
+    "stack1 = []\n",
+    "stack2 = []"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Solution\n",
+    "\n",
+    "Fill out your solution below:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "class Queue2Stacks(object):\n",
+    "    \n",
+    "    def __init__(self):\n",
+    "        \n",
+    "        # Two Stacks\n",
+    "        self.in_stack = []\n",
+    "        self.out_stack = []\n",
+    "     \n",
+    "    def enqueue(self, element):\n",
+    "        # FILL OUT CODE HERE\n",
+    "        self.in_stack.append(element)\n",
+    "        pass\n",
+    "    \n",
+    "    def dequeue(self):\n",
+    "        \n",
+    "        # FILL OUT CODE HERE\n",
+    "        if not self.out_stack:\n",
+    "            while self.in_stack:\n",
+    "                self.out_stack.append(self.in_stack.pop())\n",
+    "        return self.out_stack.pop()\n",
+    "        pass"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Test Your Solution\n",
+    "\n",
+    "You should be able to tell with your current knowledge of Stacks and Queues if this is working as it should. For example, the following should print as such:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "0\n",
+      "1\n",
+      "2\n",
+      "3\n",
+      "4\n"
+     ]
+    }
+   ],
+   "source": [
+    "\"\"\"\n",
+    "RUN THIS CELL TO CHECK THAT YOUR SOLUTION OUTPUT MAKES SENSE AND BEHAVES AS A QUEUE\n",
+    "\"\"\"\n",
+    "q = Queue2Stacks()\n",
+    "\n",
+    "for i in range(5):\n",
+    "    q.enqueue(i)\n",
+    "    \n",
+    "for i in range(5):\n",
+    "    print (q.dequeue())"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Good Job!"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 1
+}
diff --git a/Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions -SOLUTIONS/Implement a Stack - SOLUTION.ipynb b/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions -SOLUTIONS/.ipynb_checkpoints/01-Implement a Stack - SOLUTION-checkpoint.ipynb
similarity index 93%
rename from Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions -SOLUTIONS/Implement a Stack - SOLUTION.ipynb
rename to 03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions -SOLUTIONS/.ipynb_checkpoints/01-Implement a Stack - SOLUTION-checkpoint.ipynb
index 72f8e3ca..7a33b782 100644
--- a/Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions -SOLUTIONS/Implement a Stack - SOLUTION.ipynb	
+++ b/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions -SOLUTIONS/.ipynb_checkpoints/01-Implement a Stack - SOLUTION-checkpoint.ipynb	
@@ -11,10 +11,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 1,
+   "metadata": {},
    "outputs": [],
    "source": [
     "class Stack(object):\n",
@@ -55,7 +53,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.2"
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
diff --git a/Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions -SOLUTIONS/Implement a Queue - SOLUTION.ipynb b/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions -SOLUTIONS/.ipynb_checkpoints/02-Implement a Queue - SOLUTION-checkpoint.ipynb
similarity index 94%
rename from Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions -SOLUTIONS/Implement a Queue - SOLUTION.ipynb
rename to 03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions -SOLUTIONS/.ipynb_checkpoints/02-Implement a Queue - SOLUTION-checkpoint.ipynb
index 0a2f2cdd..fd5d7571 100644
--- a/Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions -SOLUTIONS/Implement a Queue - SOLUTION.ipynb	
+++ b/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions -SOLUTIONS/.ipynb_checkpoints/02-Implement a Queue - SOLUTION-checkpoint.ipynb	
@@ -12,9 +12,7 @@
   {
    "cell_type": "code",
    "execution_count": 1,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "class Queue:\n",
@@ -51,7 +49,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.2"
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
diff --git a/Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions -SOLUTIONS/Implement a Deque - SOLUTION.ipynb b/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions -SOLUTIONS/.ipynb_checkpoints/03-Implement a Deque - SOLUTION-checkpoint.ipynb
similarity index 95%
rename from Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions -SOLUTIONS/Implement a Deque - SOLUTION.ipynb
rename to 03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions -SOLUTIONS/.ipynb_checkpoints/03-Implement a Deque - SOLUTION-checkpoint.ipynb
index a876e02b..cb7750cd 100644
--- a/Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions -SOLUTIONS/Implement a Deque - SOLUTION.ipynb	
+++ b/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions -SOLUTIONS/.ipynb_checkpoints/03-Implement a Deque - SOLUTION-checkpoint.ipynb	
@@ -12,9 +12,7 @@
   {
    "cell_type": "code",
    "execution_count": 1,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "class Deque:\n",
@@ -57,7 +55,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.2"
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
diff --git a/Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions -SOLUTIONS/Balanced Parentheses Check - SOLUTION.ipynb b/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions -SOLUTIONS/.ipynb_checkpoints/04-Balanced Parentheses Check - SOLUTION-checkpoint.ipynb
similarity index 94%
rename from Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions -SOLUTIONS/Balanced Parentheses Check - SOLUTION.ipynb
rename to 03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions -SOLUTIONS/.ipynb_checkpoints/04-Balanced Parentheses Check - SOLUTION-checkpoint.ipynb
index 2c988d8f..cc5a4c16 100644
--- a/Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions -SOLUTIONS/Balanced Parentheses Check - SOLUTION.ipynb	
+++ b/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions -SOLUTIONS/.ipynb_checkpoints/04-Balanced Parentheses Check - SOLUTION-checkpoint.ipynb	
@@ -28,10 +28,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 1,
+   "metadata": {},
    "outputs": [],
    "source": [
     "def balance_check(s):\n",
@@ -74,7 +72,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [
     {
@@ -83,7 +81,7 @@
        "True"
       ]
      },
-     "execution_count": 13,
+     "execution_count": 2,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -94,7 +92,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [
     {
@@ -103,7 +101,7 @@
        "True"
       ]
      },
-     "execution_count": 16,
+     "execution_count": 3,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -114,7 +112,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [
     {
@@ -123,7 +121,7 @@
        "False"
       ]
      },
-     "execution_count": 17,
+     "execution_count": 4,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -141,7 +139,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [
     {
@@ -164,7 +162,7 @@
     "        assert_equal(sol('[](){([[[]]])}('),False)\n",
     "        assert_equal(sol('[{{{(())}}}]((()))'),True)\n",
     "        assert_equal(sol('[[[]])]'),False)\n",
-    "        print 'ALL TEST CASES PASSED'\n",
+    "        print('ALL TEST CASES PASSED')\n",
     "        \n",
     "# Run Tests\n",
     "\n",
@@ -196,7 +194,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.2"
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
diff --git a/Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions -SOLUTIONS/Implement a Queue -Using Two Stacks - SOLUTION.ipynb b/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions -SOLUTIONS/.ipynb_checkpoints/05-Implement a Queue -Using Two Stacks - SOLUTION-checkpoint.ipynb
similarity index 91%
rename from Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions -SOLUTIONS/Implement a Queue -Using Two Stacks - SOLUTION.ipynb
rename to 03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions -SOLUTIONS/.ipynb_checkpoints/05-Implement a Queue -Using Two Stacks - SOLUTION-checkpoint.ipynb
index 74ca5fee..7e63cb58 100644
--- a/Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions -SOLUTIONS/Implement a Queue -Using Two Stacks - SOLUTION.ipynb	
+++ b/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions -SOLUTIONS/.ipynb_checkpoints/05-Implement a Queue -Using Two Stacks - SOLUTION-checkpoint.ipynb	
@@ -11,10 +11,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 30,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 1,
+   "metadata": {},
    "outputs": [],
    "source": [
     "stack1 = []\n",
@@ -34,10 +32,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 31,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 2,
+   "metadata": {},
    "outputs": [],
    "source": [
     "class Queue2Stacks(object):\n",
@@ -72,7 +68,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 34,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [
     {
@@ -93,11 +89,11 @@
     "\"\"\"\n",
     "q = Queue2Stacks()\n",
     "\n",
-    "for i in xrange(5):\n",
+    "for i in range(5):\n",
     "    q.enqueue(i)\n",
     "    \n",
-    "for i in xrange(5):\n",
-    "    print q.dequeue()"
+    "for i in range(5):\n",
+    "    print(q.dequeue())"
    ]
   },
   {
@@ -124,7 +120,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.2"
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
diff --git a/Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions -SOLUTIONS/.ipynb_checkpoints/Balanced Parentheses Check - SOLUTION-checkpoint.ipynb b/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions -SOLUTIONS/.ipynb_checkpoints/Balanced Parentheses Check - SOLUTION-checkpoint.ipynb
similarity index 100%
rename from Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions -SOLUTIONS/.ipynb_checkpoints/Balanced Parentheses Check - SOLUTION-checkpoint.ipynb
rename to 03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions -SOLUTIONS/.ipynb_checkpoints/Balanced Parentheses Check - SOLUTION-checkpoint.ipynb
diff --git a/Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions -SOLUTIONS/.ipynb_checkpoints/Implement a Deque - SOLUTION-checkpoint.ipynb b/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions -SOLUTIONS/.ipynb_checkpoints/Implement a Deque - SOLUTION-checkpoint.ipynb
similarity index 100%
rename from Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions -SOLUTIONS/.ipynb_checkpoints/Implement a Deque - SOLUTION-checkpoint.ipynb
rename to 03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions -SOLUTIONS/.ipynb_checkpoints/Implement a Deque - SOLUTION-checkpoint.ipynb
diff --git a/Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions -SOLUTIONS/.ipynb_checkpoints/Implement a Queue - SOLUTION-checkpoint.ipynb b/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions -SOLUTIONS/.ipynb_checkpoints/Implement a Queue - SOLUTION-checkpoint.ipynb
similarity index 100%
rename from Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions -SOLUTIONS/.ipynb_checkpoints/Implement a Queue - SOLUTION-checkpoint.ipynb
rename to 03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions -SOLUTIONS/.ipynb_checkpoints/Implement a Queue - SOLUTION-checkpoint.ipynb
diff --git a/Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions -SOLUTIONS/.ipynb_checkpoints/Implement a Queue -Using Two Stacks - SOLUTION-checkpoint.ipynb b/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions -SOLUTIONS/.ipynb_checkpoints/Implement a Queue -Using Two Stacks - SOLUTION-checkpoint.ipynb
similarity index 100%
rename from Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions -SOLUTIONS/.ipynb_checkpoints/Implement a Queue -Using Two Stacks - SOLUTION-checkpoint.ipynb
rename to 03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions -SOLUTIONS/.ipynb_checkpoints/Implement a Queue -Using Two Stacks - SOLUTION-checkpoint.ipynb
diff --git a/Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions -SOLUTIONS/.ipynb_checkpoints/Implement a Stack - SOLUTION-checkpoint.ipynb b/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions -SOLUTIONS/.ipynb_checkpoints/Implement a Stack - SOLUTION-checkpoint.ipynb
similarity index 100%
rename from Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions -SOLUTIONS/.ipynb_checkpoints/Implement a Stack - SOLUTION-checkpoint.ipynb
rename to 03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions -SOLUTIONS/.ipynb_checkpoints/Implement a Stack - SOLUTION-checkpoint.ipynb
diff --git a/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions -SOLUTIONS/01-Implement a Stack - SOLUTION.ipynb b/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions -SOLUTIONS/01-Implement a Stack - SOLUTION.ipynb
new file mode 100644
index 00000000..7a33b782
--- /dev/null
+++ b/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions -SOLUTIONS/01-Implement a Stack - SOLUTION.ipynb	
@@ -0,0 +1,61 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Implement a Stack -SOLUTION\n",
+    "\n",
+    "**Please refer to the lecture on implementation for a full explanation. Here is the code from that lecture:**"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "class Stack(object):\n",
+    "    \n",
+    "    def __init__(self):\n",
+    "        self.items = []\n",
+    "\n",
+    "    def isEmpty(self):\n",
+    "        return self.items == []\n",
+    "\n",
+    "    def push(self, item):\n",
+    "        self.items.append(item)\n",
+    "\n",
+    "    def pop(self):\n",
+    "        return self.items.pop()\n",
+    "\n",
+    "    def peek(self):\n",
+    "        return self.items[len(self.items)-1]\n",
+    "\n",
+    "    def size(self):\n",
+    "        return len(self.items)"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 1
+}
diff --git a/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions -SOLUTIONS/02-Implement a Queue - SOLUTION.ipynb b/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions -SOLUTIONS/02-Implement a Queue - SOLUTION.ipynb
new file mode 100644
index 00000000..fd5d7571
--- /dev/null
+++ b/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions -SOLUTIONS/02-Implement a Queue - SOLUTION.ipynb	
@@ -0,0 +1,57 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Implement a Queue - SOLUTION\n",
+    "\n",
+    "**Please refer to the Implementation of Queue lecture for a full explanation. The code from that lecture is below:**"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "class Queue:\n",
+    "    def __init__(self):\n",
+    "        self.items = []\n",
+    "\n",
+    "    def isEmpty(self):\n",
+    "        return self.items == []\n",
+    "\n",
+    "    def enqueue(self, item):\n",
+    "        self.items.insert(0,item)\n",
+    "\n",
+    "    def dequeue(self):\n",
+    "        return self.items.pop()\n",
+    "\n",
+    "    def size(self):\n",
+    "        return len(self.items)"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 1
+}
diff --git a/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions -SOLUTIONS/03-Implement a Deque - SOLUTION.ipynb b/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions -SOLUTIONS/03-Implement a Deque - SOLUTION.ipynb
new file mode 100644
index 00000000..cb7750cd
--- /dev/null
+++ b/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions -SOLUTIONS/03-Implement a Deque - SOLUTION.ipynb	
@@ -0,0 +1,63 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Implement a Deque - SOLUTION\n",
+    "\n",
+    "**Please refer to the Implementation of Deque lecture for a full explanation. The code from that lecture is below:**"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "class Deque:\n",
+    "    def __init__(self):\n",
+    "        self.items = []\n",
+    "\n",
+    "    def isEmpty(self):\n",
+    "        return self.items == []\n",
+    "\n",
+    "    def addFront(self, item):\n",
+    "        self.items.append(item)\n",
+    "\n",
+    "    def addRear(self, item):\n",
+    "        self.items.insert(0,item)\n",
+    "\n",
+    "    def removeFront(self):\n",
+    "        return self.items.pop()\n",
+    "\n",
+    "    def removeRear(self):\n",
+    "        return self.items.pop(0)\n",
+    "\n",
+    "    def size(self):\n",
+    "        return len(self.items)"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 1
+}
diff --git a/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions -SOLUTIONS/04-Balanced Parentheses Check - SOLUTION.ipynb b/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions -SOLUTIONS/04-Balanced Parentheses Check - SOLUTION.ipynb
new file mode 100644
index 00000000..cc5a4c16
--- /dev/null
+++ b/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions -SOLUTIONS/04-Balanced Parentheses Check - SOLUTION.ipynb	
@@ -0,0 +1,202 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Balanced Parentheses Check - SOLUTION\n",
+    "\n",
+    "## Problem Statement\n",
+    "\n",
+    "Given a string of opening and closing parentheses, check whether it’s balanced. We have 3 types of parentheses: round brackets: (), square brackets: [], and curly brackets: {}. Assume that the string doesn’t contain any other character than these, no spaces words or numbers. As a reminder, balanced parentheses require every opening parenthesis to be closed in the reverse order opened. For example ‘([])’ is balanced but ‘([)]’ is not. \n",
+    "\n",
+    "\n",
+    "You can assume the input string has no spaces.\n",
+    "\n",
+    "## Solution\n",
+    "\n",
+    "This is a very common interview question and is one of the main ways to check your knowledge of using Stacks! We will start our solution logic as such:\n",
+    "\n",
+    "First we will scan the string from left to right, and every time we see an opening parenthesis we push it to a stack, because we want the last opening parenthesis to be closed first. (Remember the FILO structure of a stack!)\n",
+    "\n",
+    "Then, when we see a closing parenthesis we check whether the last opened one is the corresponding closing match, by popping an element from the stack. If it’s a valid match, then we proceed forward, if not return false. \n",
+    "\n",
+    "Or if the stack is empty we also return false, because there’s no opening parenthesis associated with this closing one. In the end, we also check whether the stack is empty. If so, we return true, otherwise return false because there were some opened parenthesis that were not closed. \n",
+    "\n",
+    "Here's an example solution:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def balance_check(s):\n",
+    "    \n",
+    "    # Check is even number of brackets\n",
+    "    if len(s)%2 != 0:\n",
+    "        return False\n",
+    "    \n",
+    "    # Set of opening brackets\n",
+    "    opening = set('([{') \n",
+    "    \n",
+    "    # Matching Pairs\n",
+    "    matches = set([ ('(',')'), ('[',']'), ('{','}') ]) \n",
+    "    \n",
+    "    # Use a list as a \"Stack\"\n",
+    "    stack = []\n",
+    "    \n",
+    "    # Check every parenthesis in string\n",
+    "    for paren in s:\n",
+    "        \n",
+    "        # If its an opening, append it to list\n",
+    "        if paren in opening:\n",
+    "            stack.append(paren)\n",
+    "        \n",
+    "        else:\n",
+    "            \n",
+    "            # Check that there are parentheses in Stack\n",
+    "            if len(stack) == 0:\n",
+    "                return False\n",
+    "            \n",
+    "            # Check the last open parenthesis\n",
+    "            last_open = stack.pop()\n",
+    "            \n",
+    "            # Check if it has a closing match\n",
+    "            if (last_open,paren) not in matches:\n",
+    "                return False\n",
+    "            \n",
+    "    return len(stack) == 0"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "True"
+      ]
+     },
+     "execution_count": 2,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "balance_check('[]')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "True"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "balance_check('[](){([[[]]])}')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "False"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "balance_check('()(){]}')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Test Your Solution"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "ALL TEST CASES PASSED\n"
+     ]
+    }
+   ],
+   "source": [
+    "\"\"\"\n",
+    "RUN THIS CELL TO TEST YOUR SOLUTION\n",
+    "\"\"\"\n",
+    "from nose.tools import assert_equal\n",
+    "\n",
+    "class TestBalanceCheck(object):\n",
+    "    \n",
+    "    def test(self,sol):\n",
+    "        assert_equal(sol('[](){([[[]]])}('),False)\n",
+    "        assert_equal(sol('[{{{(())}}}]((()))'),True)\n",
+    "        assert_equal(sol('[[[]])]'),False)\n",
+    "        print('ALL TEST CASES PASSED')\n",
+    "        \n",
+    "# Run Tests\n",
+    "\n",
+    "t = TestBalanceCheck()\n",
+    "t.test(balance_check)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Good Job!"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 1
+}
diff --git a/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions -SOLUTIONS/05-Implement a Queue -Using Two Stacks - SOLUTION.ipynb b/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions -SOLUTIONS/05-Implement a Queue -Using Two Stacks - SOLUTION.ipynb
new file mode 100644
index 00000000..7e63cb58
--- /dev/null
+++ b/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions -SOLUTIONS/05-Implement a Queue -Using Two Stacks - SOLUTION.ipynb	
@@ -0,0 +1,128 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Implement a Queue - Using Two Stacks - SOLUTION\n",
+    "\n",
+    "Given the Stack class below, implement a Queue class using **two** stacks! Note, this is a \"classic\" interview problem. Use a Python list data structure as your Stack."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "stack1 = []\n",
+    "stack2 = []"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Solution\n",
+    "\n",
+    "The key insight is that a stack reverses order (while a queue doesn't). A sequence of elements pushed on a stack comes back in reversed order when popped. Consequently, two stacks chained together will return elements in the same order, since reversed order reversed again is original order.\n",
+    "\n",
+    " We use an in-stack that we fill when an element is enqueued and the dequeue operation takes elements from an out-stack. If the out-stack is empty we pop all elements from the in-stack and push them onto the out-stack. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "class Queue2Stacks(object):\n",
+    "    \n",
+    "    def __init__(self):\n",
+    "        \n",
+    "        # Two Stacks\n",
+    "        self.instack = []\n",
+    "        self.outstack = []\n",
+    "     \n",
+    "    def enqueue(self,element):\n",
+    "        \n",
+    "        # Add an enqueue with the \"IN\" stack\n",
+    "        self.instack.append(element)\n",
+    "    \n",
+    "    def dequeue(self):\n",
+    "        if not self.outstack:\n",
+    "            while self.instack:\n",
+    "                # Add the elements to the outstack to reverse the order when called\n",
+    "                self.outstack.append(self.instack.pop())\n",
+    "        return self.outstack.pop()  "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Test Your Solution\n",
+    "\n",
+    "You should be able to tell with your current knowledge of Stacks and Queues if this is working as it should. For example, the following should print as such:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "0\n",
+      "1\n",
+      "2\n",
+      "3\n",
+      "4\n"
+     ]
+    }
+   ],
+   "source": [
+    "\"\"\"\n",
+    "RUN THIS CELL TO CHECK THAT YOUR SOLUTION OUTPUT MAKES SENSE AND BEHAVES AS A QUEUE\n",
+    "\"\"\"\n",
+    "q = Queue2Stacks()\n",
+    "\n",
+    "for i in range(5):\n",
+    "    q.enqueue(i)\n",
+    "    \n",
+    "for i in range(5):\n",
+    "    print(q.dequeue())"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Good Job!"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 1
+}
diff --git a/Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions /Implement a Stack .ipynb b/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions /.ipynb_checkpoints/01-Implement a Stack -checkpoint.ipynb
similarity index 87%
rename from Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions /Implement a Stack .ipynb
rename to 03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions /.ipynb_checkpoints/01-Implement a Stack -checkpoint.ipynb
index 6dea3952..06953061 100644
--- a/Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions /Implement a Stack .ipynb	
+++ b/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions /.ipynb_checkpoints/01-Implement a Stack -checkpoint.ipynb	
@@ -35,23 +35,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.10"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions /Implement a Queue.ipynb b/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions /.ipynb_checkpoints/02-Implement a Queue-checkpoint.ipynb
similarity index 85%
rename from Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions /Implement a Queue.ipynb
rename to 03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions /.ipynb_checkpoints/02-Implement a Queue-checkpoint.ipynb
index a5ac0019..ae0cda90 100644
--- a/Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions /Implement a Queue.ipynb	
+++ b/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions /.ipynb_checkpoints/02-Implement a Queue-checkpoint.ipynb	
@@ -29,23 +29,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.10"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions /.ipynb_checkpoints/Implement a Deque -checkpoint.ipynb b/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions /.ipynb_checkpoints/03-Implement a Deque -checkpoint.ipynb
similarity index 84%
rename from Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions /.ipynb_checkpoints/Implement a Deque -checkpoint.ipynb
rename to 03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions /.ipynb_checkpoints/03-Implement a Deque -checkpoint.ipynb
index d5c255f7..a7c0e1da 100644
--- a/Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions /.ipynb_checkpoints/Implement a Deque -checkpoint.ipynb	
+++ b/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions /.ipynb_checkpoints/03-Implement a Deque -checkpoint.ipynb	
@@ -29,23 +29,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.10"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions /.ipynb_checkpoints/Balanced Parentheses Check -checkpoint.ipynb b/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions /.ipynb_checkpoints/04-Balanced Parentheses Check -checkpoint.ipynb
similarity index 89%
rename from Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions /.ipynb_checkpoints/Balanced Parentheses Check -checkpoint.ipynb
rename to 03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions /.ipynb_checkpoints/04-Balanced Parentheses Check -checkpoint.ipynb
index 274f3ace..d88791ba 100644
--- a/Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions /.ipynb_checkpoints/Balanced Parentheses Check -checkpoint.ipynb	
+++ b/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions /.ipynb_checkpoints/04-Balanced Parentheses Check -checkpoint.ipynb	
@@ -34,9 +34,7 @@
   {
    "cell_type": "code",
    "execution_count": 13,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -56,9 +54,7 @@
   {
    "cell_type": "code",
    "execution_count": 16,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -78,9 +74,7 @@
   {
    "cell_type": "code",
    "execution_count": 17,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -107,9 +101,7 @@
   {
    "cell_type": "code",
    "execution_count": 18,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -131,7 +123,7 @@
     "        assert_equal(sol('[](){([[[]]])}('),False)\n",
     "        assert_equal(sol('[{{{(())}}}]((()))'),True)\n",
     "        assert_equal(sol('[[[]])]'),False)\n",
-    "        print 'ALL TEST CASES PASSED'\n",
+    "        print('ALL TEST CASES PASSED')\n",
     "        \n",
     "# Run Tests\n",
     "\n",
@@ -149,23 +141,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.10"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions /.ipynb_checkpoints/Implement a Queue -Using Two Stacks -checkpoint.ipynb b/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions /.ipynb_checkpoints/05-Implement a Queue -Using Two Stacks -checkpoint.ipynb
similarity index 76%
rename from Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions /.ipynb_checkpoints/Implement a Queue -Using Two Stacks -checkpoint.ipynb
rename to 03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions /.ipynb_checkpoints/05-Implement a Queue -Using Two Stacks -checkpoint.ipynb
index 907956a6..a77bcfe1 100644
--- a/Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions /.ipynb_checkpoints/Implement a Queue -Using Two Stacks -checkpoint.ipynb	
+++ b/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions /.ipynb_checkpoints/05-Implement a Queue -Using Two Stacks -checkpoint.ipynb	
@@ -11,10 +11,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 30,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": null,
+   "metadata": {},
    "outputs": [],
    "source": [
     "# Uses lists instead of your own Stack class.\n",
@@ -33,10 +31,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 31,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": null,
+   "metadata": {},
    "outputs": [],
    "source": [
     "class Queue2Stacks(object):\n",
@@ -69,34 +65,20 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 34,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "0\n",
-      "1\n",
-      "2\n",
-      "3\n",
-      "4\n"
-     ]
-    }
-   ],
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
    "source": [
     "\"\"\"\n",
     "RUN THIS CELL TO CHECK THAT YOUR SOLUTION OUTPUT MAKES SENSE AND BEHAVES AS A QUEUE\n",
     "\"\"\"\n",
     "q = Queue2Stacks()\n",
     "\n",
-    "for i in xrange(5):\n",
+    "for i in range(5):\n",
     "    q.enqueue(i)\n",
     "    \n",
-    "for i in xrange(5):\n",
-    "    print q.dequeue()"
+    "for i in range(5):\n",
+    "    print(q.dequeue())"
    ]
   },
   {
@@ -109,23 +91,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.10"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions /.ipynb_checkpoints/Implement a Stack -checkpoint.ipynb b/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions /.ipynb_checkpoints/Implement a Stack -checkpoint.ipynb
similarity index 100%
rename from Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions /.ipynb_checkpoints/Implement a Stack -checkpoint.ipynb
rename to 03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions /.ipynb_checkpoints/Implement a Stack -checkpoint.ipynb
diff --git a/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions /01-Implement a Stack .ipynb b/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions /01-Implement a Stack .ipynb
new file mode 100644
index 00000000..06953061
--- /dev/null
+++ b/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions /01-Implement a Stack .ipynb	
@@ -0,0 +1,57 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Implement a Stack \n",
+    "\n",
+    "A very common interview question is to begin by just implementing a Stack! Try your best to implement your own stack!\n",
+    "\n",
+    "It should have the methods:\n",
+    "\n",
+    "* Check if its empty\n",
+    "* Push a new item\n",
+    "* Pop an item\n",
+    "* Peek at the top item\n",
+    "* Return the size"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "class Stack(object):\n",
+    "    \n",
+    "    \n",
+    "    # Fill out the Stack Methods here\n",
+    "    pass"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 1
+}
diff --git a/Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions /.ipynb_checkpoints/Implement a Queue-checkpoint.ipynb b/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions /02-Implement a Queue.ipynb
similarity index 85%
rename from Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions /.ipynb_checkpoints/Implement a Queue-checkpoint.ipynb
rename to 03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions /02-Implement a Queue.ipynb
index a5ac0019..ae0cda90 100644
--- a/Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions /.ipynb_checkpoints/Implement a Queue-checkpoint.ipynb	
+++ b/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions /02-Implement a Queue.ipynb	
@@ -29,23 +29,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.10"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions /Implement a Deque .ipynb b/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions /03-Implement a Deque .ipynb
similarity index 84%
rename from Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions /Implement a Deque .ipynb
rename to 03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions /03-Implement a Deque .ipynb
index d5c255f7..a7c0e1da 100644
--- a/Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions /Implement a Deque .ipynb	
+++ b/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions /03-Implement a Deque .ipynb	
@@ -29,23 +29,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.10"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions /Balanced Parentheses Check .ipynb b/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions /04-Balanced Parentheses Check .ipynb
similarity index 89%
rename from Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions /Balanced Parentheses Check .ipynb
rename to 03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions /04-Balanced Parentheses Check .ipynb
index 274f3ace..d88791ba 100644
--- a/Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions /Balanced Parentheses Check .ipynb	
+++ b/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions /04-Balanced Parentheses Check .ipynb	
@@ -34,9 +34,7 @@
   {
    "cell_type": "code",
    "execution_count": 13,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -56,9 +54,7 @@
   {
    "cell_type": "code",
    "execution_count": 16,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -78,9 +74,7 @@
   {
    "cell_type": "code",
    "execution_count": 17,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -107,9 +101,7 @@
   {
    "cell_type": "code",
    "execution_count": 18,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -131,7 +123,7 @@
     "        assert_equal(sol('[](){([[[]]])}('),False)\n",
     "        assert_equal(sol('[{{{(())}}}]((()))'),True)\n",
     "        assert_equal(sol('[[[]])]'),False)\n",
-    "        print 'ALL TEST CASES PASSED'\n",
+    "        print('ALL TEST CASES PASSED')\n",
     "        \n",
     "# Run Tests\n",
     "\n",
@@ -149,23 +141,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.10"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions /Implement a Queue -Using Two Stacks .ipynb b/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions /05-Implement a Queue -Using Two Stacks .ipynb
similarity index 76%
rename from Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions /Implement a Queue -Using Two Stacks .ipynb
rename to 03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions /05-Implement a Queue -Using Two Stacks .ipynb
index 907956a6..a77bcfe1 100644
--- a/Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions /Implement a Queue -Using Two Stacks .ipynb	
+++ b/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions /05-Implement a Queue -Using Two Stacks .ipynb	
@@ -11,10 +11,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 30,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": null,
+   "metadata": {},
    "outputs": [],
    "source": [
     "# Uses lists instead of your own Stack class.\n",
@@ -33,10 +31,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 31,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": null,
+   "metadata": {},
    "outputs": [],
    "source": [
     "class Queue2Stacks(object):\n",
@@ -69,34 +65,20 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 34,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "0\n",
-      "1\n",
-      "2\n",
-      "3\n",
-      "4\n"
-     ]
-    }
-   ],
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
    "source": [
     "\"\"\"\n",
     "RUN THIS CELL TO CHECK THAT YOUR SOLUTION OUTPUT MAKES SENSE AND BEHAVES AS A QUEUE\n",
     "\"\"\"\n",
     "q = Queue2Stacks()\n",
     "\n",
-    "for i in xrange(5):\n",
+    "for i in range(5):\n",
     "    q.enqueue(i)\n",
     "    \n",
-    "for i in xrange(5):\n",
-    "    print q.dequeue()"
+    "for i in range(5):\n",
+    "    print(q.dequeue())"
    ]
   },
   {
@@ -109,23 +91,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.10"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Linked Lists/Linked List Overview.ipynb b/04-Linked Lists/.ipynb_checkpoints/01-Linked List Overview-checkpoint.ipynb
similarity index 84%
rename from Linked Lists/Linked List Overview.ipynb
rename to 04-Linked Lists/.ipynb_checkpoints/01-Linked List Overview-checkpoint.ipynb
index 16a79138..c8a3524a 100644
--- a/Linked Lists/Linked List Overview.ipynb	
+++ b/04-Linked Lists/.ipynb_checkpoints/01-Linked List Overview-checkpoint.ipynb	
@@ -20,23 +20,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.10"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Linked Lists/Singly Linked Lists.ipynb b/04-Linked Lists/.ipynb_checkpoints/02-Singly Linked Lists-checkpoint.ipynb
similarity index 78%
rename from Linked Lists/Singly Linked Lists.ipynb
rename to 04-Linked Lists/.ipynb_checkpoints/02-Singly Linked Lists-checkpoint.ipynb
index f0f1677d..4da872d3 100644
--- a/Linked Lists/Singly Linked Lists.ipynb	
+++ b/04-Linked Lists/.ipynb_checkpoints/02-Singly Linked Lists-checkpoint.ipynb	
@@ -14,23 +14,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.10"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Linked Lists/.ipynb_checkpoints/Singly Linked List Implementation-checkpoint.ipynb b/04-Linked Lists/.ipynb_checkpoints/03-Singly Linked List Implementation-checkpoint.ipynb
similarity index 84%
rename from Linked Lists/.ipynb_checkpoints/Singly Linked List Implementation-checkpoint.ipynb
rename to 04-Linked Lists/.ipynb_checkpoints/03-Singly Linked List Implementation-checkpoint.ipynb
index efa1ee5c..57ec8b4a 100644
--- a/Linked Lists/.ipynb_checkpoints/Singly Linked List Implementation-checkpoint.ipynb	
+++ b/04-Linked Lists/.ipynb_checkpoints/03-Singly Linked List Implementation-checkpoint.ipynb	
@@ -13,10 +13,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 1,
+   "metadata": {},
    "outputs": [],
    "source": [
     "class Node(object):\n",
@@ -36,10 +34,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 2,
+   "metadata": {},
    "outputs": [],
    "source": [
     "a = Node(1)\n",
@@ -49,10 +45,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 3,
+   "metadata": {},
    "outputs": [],
    "source": [
     "a.nextnode = b"
@@ -60,10 +54,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 4,
+   "metadata": {},
    "outputs": [],
    "source": [
     "b.nextnode = c"
@@ -98,23 +90,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.10"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Linked Lists/Doubly Linked Lists.ipynb b/04-Linked Lists/.ipynb_checkpoints/04-Doubly Linked Lists-checkpoint.ipynb
similarity index 77%
rename from Linked Lists/Doubly Linked Lists.ipynb
rename to 04-Linked Lists/.ipynb_checkpoints/04-Doubly Linked Lists-checkpoint.ipynb
index 929355be..a4e20ed5 100644
--- a/Linked Lists/Doubly Linked Lists.ipynb	
+++ b/04-Linked Lists/.ipynb_checkpoints/04-Doubly Linked Lists-checkpoint.ipynb	
@@ -12,23 +12,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.10"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Linked Lists/Doubly Linked List Implementation.ipynb b/04-Linked Lists/.ipynb_checkpoints/05-Doubly Linked List Implementation-checkpoint.ipynb
similarity index 84%
rename from Linked Lists/Doubly Linked List Implementation.ipynb
rename to 04-Linked Lists/.ipynb_checkpoints/05-Doubly Linked List Implementation-checkpoint.ipynb
index d409f9d3..5d5a004b 100644
--- a/Linked Lists/Doubly Linked List Implementation.ipynb	
+++ b/04-Linked Lists/.ipynb_checkpoints/05-Doubly Linked List Implementation-checkpoint.ipynb	
@@ -12,9 +12,7 @@
   {
    "cell_type": "code",
    "execution_count": 1,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "class DoublyLinkedListNode(object):\n",
@@ -36,9 +34,7 @@
   {
    "cell_type": "code",
    "execution_count": 2,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "a = DoublyLinkedListNode(1)\n",
@@ -49,9 +45,7 @@
   {
    "cell_type": "code",
    "execution_count": 3,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "# Setting b after a\n",
@@ -62,9 +56,7 @@
   {
    "cell_type": "code",
    "execution_count": 4,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "# Setting c after a\n",
@@ -89,23 +81,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.10"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Linked Lists/.ipynb_checkpoints/Linked List Overview-checkpoint.ipynb b/04-Linked Lists/01-Linked List Overview.ipynb
similarity index 84%
rename from Linked Lists/.ipynb_checkpoints/Linked List Overview-checkpoint.ipynb
rename to 04-Linked Lists/01-Linked List Overview.ipynb
index 16a79138..c8a3524a 100644
--- a/Linked Lists/.ipynb_checkpoints/Linked List Overview-checkpoint.ipynb	
+++ b/04-Linked Lists/01-Linked List Overview.ipynb	
@@ -20,23 +20,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.10"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Linked Lists/.ipynb_checkpoints/Singly Linked Lists-checkpoint.ipynb b/04-Linked Lists/02-Singly Linked Lists.ipynb
similarity index 78%
rename from Linked Lists/.ipynb_checkpoints/Singly Linked Lists-checkpoint.ipynb
rename to 04-Linked Lists/02-Singly Linked Lists.ipynb
index f0f1677d..4da872d3 100644
--- a/Linked Lists/.ipynb_checkpoints/Singly Linked Lists-checkpoint.ipynb	
+++ b/04-Linked Lists/02-Singly Linked Lists.ipynb	
@@ -14,23 +14,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.10"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Linked Lists/Singly Linked List Implementation.ipynb b/04-Linked Lists/03-Singly Linked List Implementation.ipynb
similarity index 84%
rename from Linked Lists/Singly Linked List Implementation.ipynb
rename to 04-Linked Lists/03-Singly Linked List Implementation.ipynb
index efa1ee5c..57ec8b4a 100644
--- a/Linked Lists/Singly Linked List Implementation.ipynb	
+++ b/04-Linked Lists/03-Singly Linked List Implementation.ipynb	
@@ -13,10 +13,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 1,
+   "metadata": {},
    "outputs": [],
    "source": [
     "class Node(object):\n",
@@ -36,10 +34,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 2,
+   "metadata": {},
    "outputs": [],
    "source": [
     "a = Node(1)\n",
@@ -49,10 +45,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 3,
+   "metadata": {},
    "outputs": [],
    "source": [
     "a.nextnode = b"
@@ -60,10 +54,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 4,
+   "metadata": {},
    "outputs": [],
    "source": [
     "b.nextnode = c"
@@ -98,23 +90,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.10"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Linked Lists/.ipynb_checkpoints/Doubly Linked Lists-checkpoint.ipynb b/04-Linked Lists/04-Doubly Linked Lists.ipynb
similarity index 77%
rename from Linked Lists/.ipynb_checkpoints/Doubly Linked Lists-checkpoint.ipynb
rename to 04-Linked Lists/04-Doubly Linked Lists.ipynb
index 929355be..a4e20ed5 100644
--- a/Linked Lists/.ipynb_checkpoints/Doubly Linked Lists-checkpoint.ipynb	
+++ b/04-Linked Lists/04-Doubly Linked Lists.ipynb	
@@ -12,23 +12,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.10"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Linked Lists/.ipynb_checkpoints/Doubly Linked List Implementation-checkpoint.ipynb b/04-Linked Lists/05-Doubly Linked List Implementation.ipynb
similarity index 84%
rename from Linked Lists/.ipynb_checkpoints/Doubly Linked List Implementation-checkpoint.ipynb
rename to 04-Linked Lists/05-Doubly Linked List Implementation.ipynb
index d409f9d3..5d5a004b 100644
--- a/Linked Lists/.ipynb_checkpoints/Doubly Linked List Implementation-checkpoint.ipynb	
+++ b/04-Linked Lists/05-Doubly Linked List Implementation.ipynb	
@@ -12,9 +12,7 @@
   {
    "cell_type": "code",
    "execution_count": 1,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "class DoublyLinkedListNode(object):\n",
@@ -36,9 +34,7 @@
   {
    "cell_type": "code",
    "execution_count": 2,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "a = DoublyLinkedListNode(1)\n",
@@ -49,9 +45,7 @@
   {
    "cell_type": "code",
    "execution_count": 3,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "# Setting b after a\n",
@@ -62,9 +56,7 @@
   {
    "cell_type": "code",
    "execution_count": 4,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "# Setting c after a\n",
@@ -89,23 +81,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.10"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems  - PRACTICE/Singly Linked List Cycle Check.ipynb b/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems  - PRACTICE/.ipynb_checkpoints/01-Singly Linked List Cycle Check-checkpoint.ipynb
similarity index 97%
rename from Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems  - PRACTICE/Singly Linked List Cycle Check.ipynb
rename to 04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems  - PRACTICE/.ipynb_checkpoints/01-Singly Linked List Cycle Check-checkpoint.ipynb
index 157dd789..210aebea 100644
--- a/Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems  - PRACTICE/Singly Linked List Cycle Check.ipynb	
+++ b/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems  - PRACTICE/.ipynb_checkpoints/01-Singly Linked List Cycle Check-checkpoint.ipynb	
@@ -17,7 +17,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -40,7 +40,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -66,7 +66,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [
     {
@@ -141,7 +141,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.2"
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
diff --git a/Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems  - PRACTICE/Linked List Reversal .ipynb b/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems  - PRACTICE/.ipynb_checkpoints/02-Linked List Reversal -checkpoint.ipynb
similarity index 64%
rename from Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems  - PRACTICE/Linked List Reversal .ipynb
rename to 04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems  - PRACTICE/.ipynb_checkpoints/02-Linked List Reversal -checkpoint.ipynb
index 129617e9..132acf4f 100644
--- a/Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems  - PRACTICE/Linked List Reversal .ipynb	
+++ b/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems  - PRACTICE/.ipynb_checkpoints/02-Linked List Reversal -checkpoint.ipynb	
@@ -15,7 +15,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 30,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -38,7 +38,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 50,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -67,7 +67,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 44,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -92,19 +92,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 45,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "2\n",
-      "3\n",
-      "4\n"
-     ]
-    }
-   ],
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
    "source": [
     "print (a.nextnode.value)\n",
     "print (b.nextnode.value)\n",
@@ -113,21 +103,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 46,
-   "metadata": {},
-   "outputs": [
-    {
-     "ename": "AttributeError",
-     "evalue": "'NoneType' object has no attribute 'value'",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
-      "\u001b[0;32m<ipython-input-46-9ee2d814a788>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0md\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mnextnode\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mvalue\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
-      "\u001b[0;31mAttributeError\u001b[0m: 'NoneType' object has no attribute 'value'"
-     ]
-    }
-   ],
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
    "source": [
     "d.nextnode.value"
    ]
@@ -141,39 +119,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 47,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<__main__.Node at 0x1067a2f28>"
-      ]
-     },
-     "execution_count": 47,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
    "source": [
     "reverse(a)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 48,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3\n",
-      "2\n",
-      "1\n"
-     ]
-    }
-   ],
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
    "source": [
     "print (d.nextnode.value)\n",
     "print (c.nextnode.value)\n",
@@ -182,20 +139,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 49,
-   "metadata": {},
-   "outputs": [
-    {
-     "ename": "SyntaxError",
-     "evalue": "Missing parentheses in call to 'print' (<ipython-input-49-42251ca948f9>, line 1)",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;36m  File \u001b[0;32m\"<ipython-input-49-42251ca948f9>\"\u001b[0;36m, line \u001b[0;32m1\u001b[0m\n\u001b[0;31m    print a.nextnode.value # This will give an error since it now points to None\u001b[0m\n\u001b[0m          ^\u001b[0m\n\u001b[0;31mSyntaxError\u001b[0m\u001b[0;31m:\u001b[0m Missing parentheses in call to 'print'\n"
-     ]
-    }
-   ],
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
    "source": [
-    "print a.nextnode.value # This will give an error since it now points to None"
+    "print(a.nextnode.value) # This will give an error since it now points to None"
    ]
   },
   {
@@ -238,7 +186,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.2"
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
diff --git a/Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems  - PRACTICE/Linked List Nth to Last Node .ipynb b/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems  - PRACTICE/.ipynb_checkpoints/03-Linked List Nth to Last Node -checkpoint.ipynb
similarity index 87%
rename from Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems  - PRACTICE/Linked List Nth to Last Node .ipynb
rename to 04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems  - PRACTICE/.ipynb_checkpoints/03-Linked List Nth to Last Node -checkpoint.ipynb
index 83d1468a..c115a4b9 100644
--- a/Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems  - PRACTICE/Linked List Nth to Last Node .ipynb	
+++ b/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems  - PRACTICE/.ipynb_checkpoints/03-Linked List Nth to Last Node -checkpoint.ipynb	
@@ -12,7 +12,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -32,7 +32,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -53,20 +53,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "4"
-      ]
-     },
-     "execution_count": 6,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "target_node.value"
    ]
@@ -81,7 +70,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -108,17 +97,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "ALL TEST CASES PASSED\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "\"\"\"\n",
     "RUN THIS CELL TO TEST YOUR SOLUTION AGAINST A TEST CASE \n",
@@ -184,7 +165,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.2"
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
diff --git a/Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems  - PRACTICE/Implement a Doubly Linked List.ipynb b/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems  - PRACTICE/.ipynb_checkpoints/04-Implement a Doubly Linked List-checkpoint.ipynb
similarity index 98%
rename from Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems  - PRACTICE/Implement a Doubly Linked List.ipynb
rename to 04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems  - PRACTICE/.ipynb_checkpoints/04-Implement a Doubly Linked List-checkpoint.ipynb
index 789493fe..4b403bda 100644
--- a/Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems  - PRACTICE/Implement a Doubly Linked List.ipynb	
+++ b/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems  - PRACTICE/.ipynb_checkpoints/04-Implement a Doubly Linked List-checkpoint.ipynb	
@@ -61,7 +61,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.2"
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
diff --git a/Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems  - PRACTICE/Implement a Singly Linked List.ipynb b/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems  - PRACTICE/.ipynb_checkpoints/04-Implement a Singly Linked List-checkpoint.ipynb
similarity index 98%
rename from Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems  - PRACTICE/Implement a Singly Linked List.ipynb
rename to 04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems  - PRACTICE/.ipynb_checkpoints/04-Implement a Singly Linked List-checkpoint.ipynb
index 340116ee..5fc0825a 100644
--- a/Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems  - PRACTICE/Implement a Singly Linked List.ipynb	
+++ b/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems  - PRACTICE/.ipynb_checkpoints/04-Implement a Singly Linked List-checkpoint.ipynb	
@@ -61,7 +61,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.2"
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
diff --git a/Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems  - PRACTICE/.ipynb_checkpoints/Implement a Doubly Linked List-checkpoint.ipynb b/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems  - PRACTICE/.ipynb_checkpoints/Implement a Doubly Linked List-checkpoint.ipynb
similarity index 100%
rename from Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems  - PRACTICE/.ipynb_checkpoints/Implement a Doubly Linked List-checkpoint.ipynb
rename to 04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems  - PRACTICE/.ipynb_checkpoints/Implement a Doubly Linked List-checkpoint.ipynb
diff --git a/Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems  - PRACTICE/.ipynb_checkpoints/Implement a Singly Linked List-checkpoint.ipynb b/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems  - PRACTICE/.ipynb_checkpoints/Implement a Singly Linked List-checkpoint.ipynb
similarity index 100%
rename from Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems  - PRACTICE/.ipynb_checkpoints/Implement a Singly Linked List-checkpoint.ipynb
rename to 04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems  - PRACTICE/.ipynb_checkpoints/Implement a Singly Linked List-checkpoint.ipynb
diff --git a/Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems  - PRACTICE/.ipynb_checkpoints/Linked List Nth to Last Node -checkpoint.ipynb b/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems  - PRACTICE/.ipynb_checkpoints/Linked List Nth to Last Node -checkpoint.ipynb
similarity index 100%
rename from Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems  - PRACTICE/.ipynb_checkpoints/Linked List Nth to Last Node -checkpoint.ipynb
rename to 04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems  - PRACTICE/.ipynb_checkpoints/Linked List Nth to Last Node -checkpoint.ipynb
diff --git a/Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems  - PRACTICE/.ipynb_checkpoints/Linked List Reversal -checkpoint.ipynb b/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems  - PRACTICE/.ipynb_checkpoints/Linked List Reversal -checkpoint.ipynb
similarity index 100%
rename from Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems  - PRACTICE/.ipynb_checkpoints/Linked List Reversal -checkpoint.ipynb
rename to 04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems  - PRACTICE/.ipynb_checkpoints/Linked List Reversal -checkpoint.ipynb
diff --git a/Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems  - PRACTICE/.ipynb_checkpoints/Singly Linked List Cycle Check-checkpoint.ipynb b/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems  - PRACTICE/.ipynb_checkpoints/Singly Linked List Cycle Check-checkpoint.ipynb
similarity index 100%
rename from Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems  - PRACTICE/.ipynb_checkpoints/Singly Linked List Cycle Check-checkpoint.ipynb
rename to 04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems  - PRACTICE/.ipynb_checkpoints/Singly Linked List Cycle Check-checkpoint.ipynb
diff --git a/Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems /.ipynb_checkpoints/Singly Linked List Cycle Check-checkpoint.ipynb b/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems  - PRACTICE/01-Singly Linked List Cycle Check.ipynb
similarity index 80%
rename from Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems /.ipynb_checkpoints/Singly Linked List Cycle Check-checkpoint.ipynb
rename to 04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems  - PRACTICE/01-Singly Linked List Cycle Check.ipynb
index 8c41dde7..210aebea 100644
--- a/Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems /.ipynb_checkpoints/Singly Linked List Cycle Check-checkpoint.ipynb	
+++ b/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems  - PRACTICE/01-Singly Linked List Cycle Check.ipynb	
@@ -18,9 +18,7 @@
   {
    "cell_type": "code",
    "execution_count": 1,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "class Node(object):\n",
@@ -42,14 +40,20 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 2,
+   "metadata": {},
    "outputs": [],
    "source": [
     "def cycle_check(node):\n",
-    "\n",
+    "#     Use fast and slow pointer\n",
+    "    fast, slow = node, node\n",
+    "    while fast and fast.nextnode:\n",
+    "        fast = fast.nextnode\n",
+    "        if fast == slow:\n",
+    "            return True\n",
+    "        fast = fast.nextnode\n",
+    "        slow = slow.nextnode\n",
+    "    return False\n",
     "    pass #Your function should return a boolean"
    ]
   },
@@ -62,10 +66,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 3,
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -107,7 +109,7 @@
     "        assert_equal(sol(a),True)\n",
     "        assert_equal(sol(x),False)\n",
     "        \n",
-    "        print \"ALL TEST CASES PASSED\"\n",
+    "        print (\"ALL TEST CASES PASSED\")\n",
     "        \n",
     "# Run Tests\n",
     "\n",
@@ -125,23 +127,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.11"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems  - PRACTICE/02-Linked List Reversal .ipynb b/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems  - PRACTICE/02-Linked List Reversal .ipynb
new file mode 100644
index 00000000..132acf4f
--- /dev/null
+++ b/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems  - PRACTICE/02-Linked List Reversal .ipynb	
@@ -0,0 +1,194 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Linked List Reversal \n",
+    "\n",
+    "## Problem\n",
+    "\n",
+    "Write a function to reverse a Linked List in place. The function will take in the head of the list as input and return the new head of the list.\n",
+    "\n",
+    "You are given the example Linked List Node class:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "class Node(object):\n",
+    "    \n",
+    "    def __init__(self,value):\n",
+    "        \n",
+    "        self.value = value\n",
+    "        self.nextnode = None"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Solution\n",
+    "\n",
+    "Fill out your solution below:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def reverse(head):\n",
+    "    cur = head\n",
+    "    pre, nxt = None, None\n",
+    "    while cur:# watch out\n",
+    "        nxt = cur.nextnode\n",
+    "        cur.nextnode = pre\n",
+    "        pre = cur\n",
+    "        cur = nxt\n",
+    "    return pre #watch out\n",
+    "    pass"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Test Your Solution\n",
+    "\n",
+    "**Note, this isn't a classic run cell for testing your solution, please read the statements below carefully**\n",
+    "\n",
+    "You should be able to easily test your own solution to make sure it works. Given the short list a,b,c,d with values 1,2,3,4. Check the effect of your reverse function and make sure the results match the logic here below:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Create a list of 4 nodes\n",
+    "a = Node(1)\n",
+    "b = Node(2)\n",
+    "c = Node(3)\n",
+    "d = Node(4)\n",
+    "\n",
+    "# Set up order a,b,c,d with values 1,2,3,4\n",
+    "a.nextnode = b\n",
+    "b.nextnode = c\n",
+    "c.nextnode = d"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Now let's check the values of the nodes coming after a, b and c:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "print (a.nextnode.value)\n",
+    "print (b.nextnode.value)\n",
+    "print (c.nextnode.value)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "d.nextnode.value"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "So far so good. Note how there is no value proceeding the last node, this makes sense! Now let's reverse the linked list, we should see the opposite order of values!"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "reverse(a)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "print (d.nextnode.value)\n",
+    "print (c.nextnode.value)\n",
+    "print (b.nextnode.value)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "print(a.nextnode.value) # This will give an error since it now points to None"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Great, now we can see that each of the values points to its previous value (although now that the linked list is reversed we can see the ordering has also reversed)\n",
+    "\n",
+    "## Good Job!"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 1
+}
diff --git a/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems  - PRACTICE/03-Linked List Nth to Last Node .ipynb b/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems  - PRACTICE/03-Linked List Nth to Last Node .ipynb
new file mode 100644
index 00000000..c115a4b9
--- /dev/null
+++ b/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems  - PRACTICE/03-Linked List Nth to Last Node .ipynb	
@@ -0,0 +1,173 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Linked List Nth to Last Node \n",
+    "\n",
+    "## Problem Statement\n",
+    "Write a function that takes a head node and an integer value **n** and then returns the nth to last node in the linked list. For example, given:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "class Node:\n",
+    "\n",
+    "    def __init__(self, value):\n",
+    "        self.value = value\n",
+    "        self.nextnode  = None"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "**Example Input and Output:**"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "a = Node(1)\n",
+    "b = Node(2)\n",
+    "c = Node(3)\n",
+    "d = Node(4)\n",
+    "e = Node(5)\n",
+    "\n",
+    "a.nextnode = b\n",
+    "b.nextnode = c\n",
+    "c.nextnode = d\n",
+    "d.nextnode = e\n",
+    "\n",
+    "# This would return the node d with a value of 4, because its the 2nd to last node.\n",
+    "target_node = nth_to_last_node(2, a) "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "target_node.value"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Solution\n",
+    "Fill out your solution below:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def nth_to_last_node(n, head):\n",
+    "    slow, fast = head, head\n",
+    "    while n > 0 and fast:\n",
+    "        fast=fast.nextnode\n",
+    "        n-=1\n",
+    "    if not fast:\n",
+    "        return head\n",
+    "    while fast:\n",
+    "        fast=fast.nextnode\n",
+    "        slow=slow.nextnode\n",
+    "    return slow\n",
+    "    pass"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Test Your Solution"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "\"\"\"\n",
+    "RUN THIS CELL TO TEST YOUR SOLUTION AGAINST A TEST CASE \n",
+    "\n",
+    "PLEASE NOTE THIS IS JUST ONE CASE\n",
+    "\"\"\"\n",
+    "\n",
+    "from nose.tools import assert_equal\n",
+    "\n",
+    "a = Node(1)\n",
+    "b = Node(2)\n",
+    "c = Node(3)\n",
+    "d = Node(4)\n",
+    "e = Node(5)\n",
+    "\n",
+    "a.nextnode = b\n",
+    "b.nextnode = c\n",
+    "c.nextnode = d\n",
+    "d.nextnode = e\n",
+    "\n",
+    "####\n",
+    "\n",
+    "class TestNLast(object):\n",
+    "    \n",
+    "    def test(self,sol):\n",
+    "        \n",
+    "        assert_equal(sol(2,a),d)\n",
+    "        print ('ALL TEST CASES PASSED')\n",
+    "        \n",
+    "# Run tests\n",
+    "t = TestNLast()\n",
+    "t.test(nth_to_last_node)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Good Job!"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 1
+}
diff --git a/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems  - PRACTICE/04-Implement a Doubly Linked List.ipynb b/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems  - PRACTICE/04-Implement a Doubly Linked List.ipynb
new file mode 100644
index 00000000..4b403bda
--- /dev/null
+++ b/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems  - PRACTICE/04-Implement a Doubly Linked List.ipynb	
@@ -0,0 +1,69 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Implement a Doubly Linked List\n",
+    "\n",
+    "For this interview problem, implement a node class and show how it can be used to create a doubly linked list."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "class Node(object):\n",
+    "    def __init__(self, value):\n",
+    "        self.prev = None\n",
+    "        self.val = value\n",
+    "        self.next = None\n",
+    "    pass"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "# Create a Doubly Linked List here"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Test Your Solution\n",
+    "Note that there is no test for this solution (because it would give away the answer structure).\n",
+    "\n",
+    "Check out the Implement a Linked List Solution Notebook for the answer to this interview problem, as well as the answer for the implementation of a singly linked list."
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 1
+}
diff --git a/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems  - PRACTICE/04-Implement a Singly Linked List.ipynb b/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems  - PRACTICE/04-Implement a Singly Linked List.ipynb
new file mode 100644
index 00000000..5fc0825a
--- /dev/null
+++ b/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems  - PRACTICE/04-Implement a Singly Linked List.ipynb	
@@ -0,0 +1,69 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Implement a Singly Linked List\n",
+    "\n",
+    "For this interview problem, create a node class and show how it can be used to create a Singly Linked List"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "class Node(object):\n",
+    "    def __init__(self, value):\n",
+    "        self.val = value\n",
+    "        self.next = None\n",
+    "    pass"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "# Create a Singly Linked List here"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Test Your Solution\n",
+    "\n",
+    "Note that there is no test for this solution (because it would give away the answer structure).\n",
+    "\n",
+    "Check out the Implement a Linked List Solution Notebook for the answer to this interview problem, as well as the answer for the implementation of a doubly linked list."
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 1
+}
diff --git a/Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems - SOLUTIONS/Singly Linked List Cycle Check - SOLUTION.ipynb b/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems - SOLUTIONS/.ipynb_checkpoints/01-Singly Linked List Cycle Check - SOLUTION-checkpoint.ipynb
similarity index 91%
rename from Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems - SOLUTIONS/Singly Linked List Cycle Check - SOLUTION.ipynb
rename to 04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems - SOLUTIONS/.ipynb_checkpoints/01-Singly Linked List Cycle Check - SOLUTION-checkpoint.ipynb
index f0752ac6..7c614eea 100644
--- a/Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems - SOLUTIONS/Singly Linked List Cycle Check - SOLUTION.ipynb	
+++ b/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems - SOLUTIONS/.ipynb_checkpoints/01-Singly Linked List Cycle Check - SOLUTION-checkpoint.ipynb	
@@ -18,9 +18,7 @@
   {
    "cell_type": "code",
    "execution_count": 1,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "class Node(object):\n",
@@ -48,10 +46,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 2,
+   "metadata": {},
    "outputs": [],
    "source": [
     "def cycle_check(node):\n",
@@ -84,10 +80,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 3,
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -129,7 +123,7 @@
     "        assert_equal(sol(a),True)\n",
     "        assert_equal(sol(x),False)\n",
     "        \n",
-    "        print \"ALL TEST CASES PASSED\"\n",
+    "        print(\"ALL TEST CASES PASSED\")\n",
     "        \n",
     "# Run Tests\n",
     "\n",
@@ -147,23 +141,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.10"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems - SOLUTIONS/Linked List Reversal - SOLUTION.ipynb b/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems - SOLUTIONS/.ipynb_checkpoints/02-Linked List Reversal - SOLUTION-checkpoint.ipynb
similarity index 76%
rename from Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems - SOLUTIONS/Linked List Reversal - SOLUTION.ipynb
rename to 04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems - SOLUTIONS/.ipynb_checkpoints/02-Linked List Reversal - SOLUTION-checkpoint.ipynb
index 5ac84405..f534503f 100644
--- a/Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems - SOLUTIONS/Linked List Reversal - SOLUTION.ipynb	
+++ b/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems - SOLUTIONS/.ipynb_checkpoints/02-Linked List Reversal - SOLUTION-checkpoint.ipynb	
@@ -15,10 +15,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 1,
+   "metadata": {},
    "outputs": [],
    "source": [
     "class Node(object):\n",
@@ -46,10 +44,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 2,
+   "metadata": {},
    "outputs": [],
    "source": [
     "def reverse(head):\n",
@@ -87,10 +83,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 43,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 3,
+   "metadata": {},
    "outputs": [],
    "source": [
     "# Create a list of 4 nodes\n",
@@ -114,10 +108,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 44,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 4,
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -130,17 +122,15 @@
     }
    ],
    "source": [
-    "print a.nextnode.value\n",
-    "print b.nextnode.value\n",
-    "print c.nextnode.value"
+    "print(a.nextnode.value)\n",
+    "print(b.nextnode.value)\n",
+    "print(c.nextnode.value)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 45,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 5,
+   "metadata": {},
    "outputs": [
     {
      "ename": "AttributeError",
@@ -149,7 +139,7 @@
      "traceback": [
       "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
       "\u001b[0;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
-      "\u001b[0;32m<ipython-input-45-be675f4ae643>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0md\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mnextnode\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mvalue\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
+      "\u001b[0;32m<ipython-input-5-9ee2d814a788>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0md\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mnextnode\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mvalue\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
       "\u001b[0;31mAttributeError\u001b[0m: 'NoneType' object has no attribute 'value'"
      ]
     }
@@ -167,18 +157,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 46,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 6,
+   "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<__main__.Node at 0x104bd7dd0>"
+       "<__main__.Node at 0x7f4e3414f730>"
       ]
      },
-     "execution_count": 46,
+     "execution_count": 6,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -189,10 +177,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 49,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 7,
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -205,17 +191,15 @@
     }
    ],
    "source": [
-    "print d.nextnode.value\n",
-    "print c.nextnode.value\n",
-    "print b.nextnode.value"
+    "print(d.nextnode.value)\n",
+    "print(c.nextnode.value)\n",
+    "print(b.nextnode.value)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 50,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 8,
+   "metadata": {},
    "outputs": [
     {
      "ename": "AttributeError",
@@ -224,13 +208,13 @@
      "traceback": [
       "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
       "\u001b[0;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
-      "\u001b[0;32m<ipython-input-50-4057c9bc3c14>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0;32mprint\u001b[0m \u001b[0ma\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mnextnode\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mvalue\u001b[0m \u001b[0;31m# This will give an error since it now points to None\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
+      "\u001b[0;32m<ipython-input-8-14ba01ce8725>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0ma\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mnextnode\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mvalue\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;31m# This will give an error since it now points to None\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
       "\u001b[0;31mAttributeError\u001b[0m: 'NoneType' object has no attribute 'value'"
      ]
     }
    ],
    "source": [
-    "print a.nextnode.value # This will give an error since it now points to None"
+    "print(a.nextnode.value) # This will give an error since it now points to None"
    ]
   },
   {
@@ -245,23 +229,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.11"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems - SOLUTIONS/Linked List Nth to Last Node - SOLUTION.ipynb b/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems - SOLUTIONS/.ipynb_checkpoints/03-Linked List Nth to Last Node - SOLUTION-checkpoint.ipynb
similarity index 66%
rename from Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems - SOLUTIONS/Linked List Nth to Last Node - SOLUTION.ipynb
rename to 04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems - SOLUTIONS/.ipynb_checkpoints/03-Linked List Nth to Last Node - SOLUTION-checkpoint.ipynb
index 457e6e48..83704c6c 100644
--- a/Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems - SOLUTIONS/Linked List Nth to Last Node - SOLUTION.ipynb	
+++ b/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems - SOLUTIONS/.ipynb_checkpoints/03-Linked List Nth to Last Node - SOLUTION-checkpoint.ipynb	
@@ -13,9 +13,7 @@
   {
    "cell_type": "code",
    "execution_count": 4,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "class Node:\n",
@@ -27,11 +25,21 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [],
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "ename": "NameError",
+     "evalue": "name 'nth_to_last_node' is not defined",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
+      "\u001b[0;32m<ipython-input-5-a1e2bc5209c8>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m     11\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     12\u001b[0m \u001b[0;31m# This would return the node d with a value of 4, because its the 2nd to last node.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 13\u001b[0;31m \u001b[0mtarget_node\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnth_to_last_node\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m2\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0ma\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
+      "\u001b[0;31mNameError\u001b[0m: name 'nth_to_last_node' is not defined"
+     ]
+    }
+   ],
    "source": [
     "a = Node(1)\n",
     "b = Node(2)\n",
@@ -50,20 +58,19 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 6,
+   "metadata": {},
    "outputs": [
     {
-     "data": {
-      "text/plain": [
-       "4"
-      ]
-     },
-     "execution_count": 7,
-     "metadata": {},
-     "output_type": "execute_result"
+     "ename": "NameError",
+     "evalue": "name 'target_node' is not defined",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
+      "\u001b[0;32m<ipython-input-6-867ea52f7d5a>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mtarget_node\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mvalue\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
+      "\u001b[0;31mNameError\u001b[0m: name 'target_node' is not defined"
+     ]
     }
    ],
    "source": [
@@ -92,10 +99,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 9,
+   "metadata": {},
    "outputs": [],
    "source": [
     "def nth_to_last_node(n, head):\n",
@@ -104,7 +109,7 @@
     "    right_pointer = head\n",
     "\n",
     "    # Set right pointer at n nodes away from head\n",
-    "    for i in xrange(n-1):\n",
+    "    for i in range(n-1):\n",
     "        \n",
     "        # Check for edge case of not having enough nodes!\n",
     "        if not right_pointer.nextnode:\n",
@@ -131,10 +136,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 10,
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -171,7 +174,7 @@
     "    def test(self,sol):\n",
     "        \n",
     "        assert_equal(sol(2,a),d)\n",
-    "        print 'ALL TEST CASES PASSED'\n",
+    "        print('ALL TEST CASES PASSED')\n",
     "        \n",
     "# Run tests\n",
     "t = TestNLast()\n",
@@ -188,23 +191,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.10"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems - SOLUTIONS/Implement a Linked List -SOLUTION.ipynb b/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems - SOLUTIONS/.ipynb_checkpoints/04-Implement a Linked List -SOLUTION-checkpoint.ipynb
similarity index 85%
rename from Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems - SOLUTIONS/Implement a Linked List -SOLUTION.ipynb
rename to 04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems - SOLUTIONS/.ipynb_checkpoints/04-Implement a Linked List -SOLUTION-checkpoint.ipynb
index 303ba52f..b357a10e 100644
--- a/Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems - SOLUTIONS/Implement a Linked List -SOLUTION.ipynb	
+++ b/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems - SOLUTIONS/.ipynb_checkpoints/04-Implement a Linked List -SOLUTION-checkpoint.ipynb	
@@ -25,9 +25,7 @@
   {
    "cell_type": "code",
    "execution_count": 1,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "class LinkedListNode(object):\n",
@@ -41,9 +39,7 @@
   {
    "cell_type": "code",
    "execution_count": 2,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "a = LinkedListNode(1)\n",
@@ -54,9 +50,7 @@
   {
    "cell_type": "code",
    "execution_count": 3,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "a.nextnode = b\n",
@@ -73,9 +67,7 @@
   {
    "cell_type": "code",
    "execution_count": 4,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "class DoublyLinkedListNode(object):\n",
@@ -90,9 +82,7 @@
   {
    "cell_type": "code",
    "execution_count": 5,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "a = DoublyLinkedListNode(1)\n",
@@ -103,9 +93,7 @@
   {
    "cell_type": "code",
    "execution_count": 6,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "# Setting b after a\n",
@@ -116,9 +104,7 @@
   {
    "cell_type": "code",
    "execution_count": 7,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "# Setting c after a\n",
@@ -136,23 +122,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.10"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems - SOLUTIONS/.ipynb_checkpoints/Implement a Linked List -SOLUTION-checkpoint.ipynb b/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems - SOLUTIONS/.ipynb_checkpoints/Implement a Linked List -SOLUTION-checkpoint.ipynb
similarity index 100%
rename from Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems - SOLUTIONS/.ipynb_checkpoints/Implement a Linked List -SOLUTION-checkpoint.ipynb
rename to 04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems - SOLUTIONS/.ipynb_checkpoints/Implement a Linked List -SOLUTION-checkpoint.ipynb
diff --git a/Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems - SOLUTIONS/.ipynb_checkpoints/Linked List Nth to Last Node - SOLUTION-checkpoint.ipynb b/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems - SOLUTIONS/.ipynb_checkpoints/Linked List Nth to Last Node - SOLUTION-checkpoint.ipynb
similarity index 100%
rename from Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems - SOLUTIONS/.ipynb_checkpoints/Linked List Nth to Last Node - SOLUTION-checkpoint.ipynb
rename to 04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems - SOLUTIONS/.ipynb_checkpoints/Linked List Nth to Last Node - SOLUTION-checkpoint.ipynb
diff --git a/Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems - SOLUTIONS/.ipynb_checkpoints/Linked List Reversal - SOLUTION-checkpoint.ipynb b/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems - SOLUTIONS/.ipynb_checkpoints/Linked List Reversal - SOLUTION-checkpoint.ipynb
similarity index 100%
rename from Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems - SOLUTIONS/.ipynb_checkpoints/Linked List Reversal - SOLUTION-checkpoint.ipynb
rename to 04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems - SOLUTIONS/.ipynb_checkpoints/Linked List Reversal - SOLUTION-checkpoint.ipynb
diff --git a/Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems - SOLUTIONS/.ipynb_checkpoints/Singly Linked List Cycle Check - SOLUTION-checkpoint.ipynb b/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems - SOLUTIONS/.ipynb_checkpoints/Singly Linked List Cycle Check - SOLUTION-checkpoint.ipynb
similarity index 100%
rename from Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems - SOLUTIONS/.ipynb_checkpoints/Singly Linked List Cycle Check - SOLUTION-checkpoint.ipynb
rename to 04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems - SOLUTIONS/.ipynb_checkpoints/Singly Linked List Cycle Check - SOLUTION-checkpoint.ipynb
diff --git a/Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems /Singly Linked List Cycle Check.ipynb b/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems - SOLUTIONS/01-Singly Linked List Cycle Check - SOLUTION.ipynb
similarity index 58%
rename from Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems /Singly Linked List Cycle Check.ipynb
rename to 04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems - SOLUTIONS/01-Singly Linked List Cycle Check - SOLUTION.ipynb
index 8c41dde7..7c614eea 100644
--- a/Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems /Singly Linked List Cycle Check.ipynb	
+++ b/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems - SOLUTIONS/01-Singly Linked List Cycle Check - SOLUTION.ipynb	
@@ -4,7 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# Singly Linked List Cycle Check \n",
+    "# Singly Linked List Cycle Check - SOLUTION\n",
     "\n",
     "## Problem\n",
     "\n",
@@ -18,9 +18,7 @@
   {
    "cell_type": "code",
    "execution_count": 1,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "class Node(object):\n",
@@ -37,20 +35,40 @@
    "source": [
     "## Solution\n",
     "\n",
-    "Fill out your solution:"
+    "To solve this problem we will have two markers traversing through the list. **marker1** and **marker2**. We will have both makers begin at the first node of the list and traverse through the linked list. However the second marker, marker2, will move two nodes ahead for every one node that marker1 moves.\n",
+    "\n",
+    "By this logic we can imagine that the markers are \"racing\" through the linked list, with marker2 moving faster. If the linked list has a cylce and is circularly connected we will have the analogy of a track, in this case the marker2 will eventually be \"lapping\" the marker1 and they will equal each other. \n",
+    "\n",
+    "If the linked list has no cycle, then marker2 should be able to continue on until the very end, never equaling the first marker.\n",
+    "\n",
+    "Let's see this logic coded out:"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 2,
+   "metadata": {},
    "outputs": [],
    "source": [
     "def cycle_check(node):\n",
     "\n",
-    "    pass #Your function should return a boolean"
+    "    # Begin both markers at the first node\n",
+    "    marker1 = node\n",
+    "    marker2 = node\n",
+    "\n",
+    "    # Go until end of list\n",
+    "    while marker2 != None and marker2.nextnode != None:\n",
+    "        \n",
+    "        # Note\n",
+    "        marker1 = marker1.nextnode\n",
+    "        marker2 = marker2.nextnode.nextnode\n",
+    "\n",
+    "        # Check if the markers have matched\n",
+    "        if marker2 == marker1:\n",
+    "            return True\n",
+    "\n",
+    "    # Case where marker ahead reaches the end of the list\n",
+    "    return False"
    ]
   },
   {
@@ -62,10 +80,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 3,
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -107,7 +123,7 @@
     "        assert_equal(sol(a),True)\n",
     "        assert_equal(sol(x),False)\n",
     "        \n",
-    "        print \"ALL TEST CASES PASSED\"\n",
+    "        print(\"ALL TEST CASES PASSED\")\n",
     "        \n",
     "# Run Tests\n",
     "\n",
@@ -125,23 +141,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.11"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems /.ipynb_checkpoints/Linked List Reversal -checkpoint.ipynb b/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems - SOLUTIONS/02-Linked List Reversal - SOLUTION.ipynb
similarity index 56%
rename from Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems /.ipynb_checkpoints/Linked List Reversal -checkpoint.ipynb
rename to 04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems - SOLUTIONS/02-Linked List Reversal - SOLUTION.ipynb
index d6d333eb..f534503f 100644
--- a/Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems /.ipynb_checkpoints/Linked List Reversal -checkpoint.ipynb	
+++ b/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems - SOLUTIONS/02-Linked List Reversal - SOLUTION.ipynb	
@@ -4,7 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# Linked List Reversal \n",
+    "# Linked List Reversal - SOLUTION\n",
     "\n",
     "## Problem\n",
     "\n",
@@ -15,10 +15,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 1,
+   "metadata": {},
    "outputs": [],
    "source": [
     "class Node(object):\n",
@@ -35,20 +33,43 @@
    "source": [
     "# Solution\n",
     "\n",
-    "Fill out your solution below:"
+    "Since we want to do this in place we want to make the funciton operate in O(1) space, meaning we don't want to create a new list, so we will simply use the current nodes! Time wise, we can perform the reversal in O(n) time.\n",
+    "\n",
+    "We can reverse the list by changing the next pointer of each node. Each node's next pointer should point to the previous node.\n",
+    "\n",
+    "In one pass from head to tail of our input list, we will point each node's next pointer to the previous element.\n",
+    "\n",
+    "Make sure to copy current.next_node into next_node **before** setting current.next_node to previous. Let's see this solution coded out:"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 2,
+   "metadata": {},
    "outputs": [],
    "source": [
     "def reverse(head):\n",
     "    \n",
-    "    pass"
+    "    # Set up current,previous, and next nodes\n",
+    "    current = head\n",
+    "    previous = None\n",
+    "    nextnode = None\n",
+    "\n",
+    "    # until we have gone through to the end of the list\n",
+    "    while current:\n",
+    "        \n",
+    "        # Make sure to copy the current nodes next node to a variable next_node\n",
+    "        # Before overwriting as the previous node for reversal\n",
+    "        nextnode = current.nextnode\n",
+    "\n",
+    "        # Reverse the pointer ot the next_node\n",
+    "        current.nextnode = previous\n",
+    "\n",
+    "        # Go one forward in the list\n",
+    "        previous = current\n",
+    "        current = nextnode\n",
+    "\n",
+    "    return previous"
    ]
   },
   {
@@ -57,17 +78,13 @@
    "source": [
     "# Test Your Solution\n",
     "\n",
-    "**Note, this isn't a classic run cell for testing your solution, please read the statements below carefully**\n",
-    "\n",
-    "You should be able to easily test your own solution to make sure it works. Given the short list a,b,c,d with values 1,2,3,4. Check the effect of your reverse function and make sure the results match the logic here below:"
+    "You should be able to easily test your own solution to make sure it works. Given the short list a,b,c,d with values 1,2,3,4. Check the effect of your reverse function and maek sure the results match the logic here below:"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 43,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 3,
+   "metadata": {},
    "outputs": [],
    "source": [
     "# Create a list of 4 nodes\n",
@@ -91,10 +108,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 44,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 4,
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -107,17 +122,15 @@
     }
    ],
    "source": [
-    "print a.nextnode.value\n",
-    "print b.nextnode.value\n",
-    "print c.nextnode.value"
+    "print(a.nextnode.value)\n",
+    "print(b.nextnode.value)\n",
+    "print(c.nextnode.value)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 45,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 5,
+   "metadata": {},
    "outputs": [
     {
      "ename": "AttributeError",
@@ -126,7 +139,7 @@
      "traceback": [
       "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
       "\u001b[0;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
-      "\u001b[0;32m<ipython-input-45-be675f4ae643>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0md\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mnextnode\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mvalue\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
+      "\u001b[0;32m<ipython-input-5-9ee2d814a788>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0md\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mnextnode\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mvalue\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
       "\u001b[0;31mAttributeError\u001b[0m: 'NoneType' object has no attribute 'value'"
      ]
     }
@@ -144,18 +157,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 46,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 6,
+   "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<__main__.Node at 0x104bd7dd0>"
+       "<__main__.Node at 0x7f4e3414f730>"
       ]
      },
-     "execution_count": 46,
+     "execution_count": 6,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -166,10 +177,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 49,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 7,
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -182,17 +191,15 @@
     }
    ],
    "source": [
-    "print d.nextnode.value\n",
-    "print c.nextnode.value\n",
-    "print b.nextnode.value"
+    "print(d.nextnode.value)\n",
+    "print(c.nextnode.value)\n",
+    "print(b.nextnode.value)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 50,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 8,
+   "metadata": {},
    "outputs": [
     {
      "ename": "AttributeError",
@@ -201,13 +208,13 @@
      "traceback": [
       "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
       "\u001b[0;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
-      "\u001b[0;32m<ipython-input-50-4057c9bc3c14>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0;32mprint\u001b[0m \u001b[0ma\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mnextnode\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mvalue\u001b[0m \u001b[0;31m# This will give an error since it now points to None\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
+      "\u001b[0;32m<ipython-input-8-14ba01ce8725>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0ma\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mnextnode\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mvalue\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;31m# This will give an error since it now points to None\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
       "\u001b[0;31mAttributeError\u001b[0m: 'NoneType' object has no attribute 'value'"
      ]
     }
    ],
    "source": [
-    "print a.nextnode.value # This will give an error since it now points to None"
+    "print(a.nextnode.value) # This will give an error since it now points to None"
    ]
   },
   {
@@ -222,23 +229,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.11"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems - SOLUTIONS/03-Linked List Nth to Last Node - SOLUTION.ipynb b/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems - SOLUTIONS/03-Linked List Nth to Last Node - SOLUTION.ipynb
new file mode 100644
index 00000000..83704c6c
--- /dev/null
+++ b/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems - SOLUTIONS/03-Linked List Nth to Last Node - SOLUTION.ipynb	
@@ -0,0 +1,213 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Linked List Nth to Last Node - SOLUTION\n",
+    "\n",
+    "## Problem Statement\n",
+    "Write a function that takes a head node and an integer value **n** and then returns the nth to last node in the linked list. For example, given:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "class Node:\n",
+    "\n",
+    "    def __init__(self, value):\n",
+    "        self.value = value\n",
+    "        self.nextnode  = None"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "ename": "NameError",
+     "evalue": "name 'nth_to_last_node' is not defined",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
+      "\u001b[0;32m<ipython-input-5-a1e2bc5209c8>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m     11\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     12\u001b[0m \u001b[0;31m# This would return the node d with a value of 4, because its the 2nd to last node.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 13\u001b[0;31m \u001b[0mtarget_node\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnth_to_last_node\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m2\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0ma\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
+      "\u001b[0;31mNameError\u001b[0m: name 'nth_to_last_node' is not defined"
+     ]
+    }
+   ],
+   "source": [
+    "a = Node(1)\n",
+    "b = Node(2)\n",
+    "c = Node(3)\n",
+    "d = Node(4)\n",
+    "e = Node(5)\n",
+    "\n",
+    "a.nextnode = b\n",
+    "b.nextnode = c\n",
+    "c.nextnode = d\n",
+    "d.nextnode = e\n",
+    "\n",
+    "# This would return the node d with a value of 4, because its the 2nd to last node.\n",
+    "target_node = nth_to_last_node(2, a) "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "ename": "NameError",
+     "evalue": "name 'target_node' is not defined",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
+      "\u001b[0;32m<ipython-input-6-867ea52f7d5a>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mtarget_node\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mvalue\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
+      "\u001b[0;31mNameError\u001b[0m: name 'target_node' is not defined"
+     ]
+    }
+   ],
+   "source": [
+    "target_node.value"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Solution\n",
+    "\n",
+    "One approach to this problem is this:\n",
+    "\n",
+    "Imagine you have a bunch of nodes and a \"block\" which is n-nodes wide. We could walk this \"block\" all the way down the list, and once the front of the block reached the end, then the other end of the block would be a the Nth node!  \n",
+    "\n",
+    "So to implement this \"block\" we would just have two pointers a left and right pair of pointers. Let's mark out the steps we will need to take:\n",
+    "\n",
+    "* Walk one pointer **n** nodes from the head, this will be the right_point\n",
+    "* Put the other pointer at the head, this will be the left_point\n",
+    "* Walk/traverse the block (both pointers) towards the tail, one node at a time, keeping a distance **n** between them.\n",
+    "* Once the right_point has hit the tail, we know that the left point is at the target.\n",
+    "\n",
+    "Let's see the code for this!"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def nth_to_last_node(n, head):\n",
+    "\n",
+    "    left_pointer  = head\n",
+    "    right_pointer = head\n",
+    "\n",
+    "    # Set right pointer at n nodes away from head\n",
+    "    for i in range(n-1):\n",
+    "        \n",
+    "        # Check for edge case of not having enough nodes!\n",
+    "        if not right_pointer.nextnode:\n",
+    "            raise LookupError('Error: n is larger than the linked list.')\n",
+    "\n",
+    "        # Otherwise, we can set the block\n",
+    "        right_pointer = right_pointer.nextnode\n",
+    "\n",
+    "    # Move the block down the linked list\n",
+    "    while right_pointer.nextnode:\n",
+    "        left_pointer  = left_pointer.nextnode\n",
+    "        right_pointer = right_pointer.nextnode\n",
+    "\n",
+    "    # Now return left pointer, its at the nth to last element!\n",
+    "    return left_pointer"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Test Your Solution"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "ALL TEST CASES PASSED\n"
+     ]
+    }
+   ],
+   "source": [
+    "\"\"\"\n",
+    "RUN THIS CELL TO TEST YOUR SOLUTION AGAINST A TEST CASE \n",
+    "\n",
+    "PLEASE NOTE THIS IS JUST ONE CASE\n",
+    "\"\"\"\n",
+    "\n",
+    "from nose.tools import assert_equal\n",
+    "\n",
+    "a = Node(1)\n",
+    "b = Node(2)\n",
+    "c = Node(3)\n",
+    "d = Node(4)\n",
+    "e = Node(5)\n",
+    "\n",
+    "a.nextnode = b\n",
+    "b.nextnode = c\n",
+    "c.nextnode = d\n",
+    "d.nextnode = e\n",
+    "\n",
+    "####\n",
+    "\n",
+    "class TestNLast(object):\n",
+    "    \n",
+    "    def test(self,sol):\n",
+    "        \n",
+    "        assert_equal(sol(2,a),d)\n",
+    "        print('ALL TEST CASES PASSED')\n",
+    "        \n",
+    "# Run tests\n",
+    "t = TestNLast()\n",
+    "t.test(nth_to_last_node)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Good Job!"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 1
+}
diff --git a/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems - SOLUTIONS/04-Implement a Linked List -SOLUTION.ipynb b/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems - SOLUTIONS/04-Implement a Linked List -SOLUTION.ipynb
new file mode 100644
index 00000000..b357a10e
--- /dev/null
+++ b/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems - SOLUTIONS/04-Implement a Linked List -SOLUTION.ipynb	
@@ -0,0 +1,144 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Implement a Linked List - SOLUTION\n",
+    "\n",
+    "## Problem Statement\n",
+    "\n",
+    "Implement a Linked List by using a Node class object. Show how you would implement a Singly Linked List *and* a Doubly Linked List!\n",
+    "\n",
+    "## Solution\n",
+    "\n",
+    "Since this is asking the same thing as the implementation lectures, please refer to those video lectures and notes for a full explanation. The code from those lectures is displayed below:"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Singly Linked List"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "class LinkedListNode(object):\n",
+    "    \n",
+    "    def __init__(self,value):\n",
+    "        \n",
+    "        self.value = value\n",
+    "        self.nextnode = None"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "a = LinkedListNode(1)\n",
+    "b = LinkedListNode(2)\n",
+    "c = LinkedListNode(3)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "a.nextnode = b\n",
+    "b.nextnode = c"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Doubly Linked List"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "class DoublyLinkedListNode(object):\n",
+    "    \n",
+    "    def __init__(self,value):\n",
+    "        \n",
+    "        self.value = value\n",
+    "        self.next_node = None\n",
+    "        self.prev_node = None"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "a = DoublyLinkedListNode(1)\n",
+    "b = DoublyLinkedListNode(2)\n",
+    "c = DoublyLinkedListNode(3)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Setting b after a\n",
+    "b.prev_node = a\n",
+    "a.next_node = b"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Setting c after a\n",
+    "b.next_node = c\n",
+    "c.prev_node = b"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Good Job!"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 1
+}
diff --git a/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems /.ipynb_checkpoints/01-Singly Linked List Cycle Check-checkpoint.ipynb b/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems /.ipynb_checkpoints/01-Singly Linked List Cycle Check-checkpoint.ipynb
new file mode 100644
index 00000000..566656cf
--- /dev/null
+++ b/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems /.ipynb_checkpoints/01-Singly Linked List Cycle Check-checkpoint.ipynb	
@@ -0,0 +1,148 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Singly Linked List Cycle Check \n",
+    "\n",
+    "## Problem\n",
+    "\n",
+    "Given a singly linked list, write a function which takes in the first node in a singly linked list and returns a boolean indicating if the linked list contains a \"cycle\".\n",
+    "\n",
+    "A cycle is when a node's next point actually points back to a previous node in the list. This is also sometimes known as a circularly linked list.\n",
+    "\n",
+    "You've been given the Linked List Node class code:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "class Node(object):\n",
+    "    \n",
+    "    def __init__(self,value):\n",
+    "        \n",
+    "        self.value = value\n",
+    "        self.nextnode = None"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Solution\n",
+    "\n",
+    "Fill out your solution:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def cycle_check(node):\n",
+    "\n",
+    "    pass #Your function should return a boolean"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Test Your Solution"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "ename": "AssertionError",
+     "evalue": "None != True",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mAssertionError\u001b[0m                            Traceback (most recent call last)",
+      "\u001b[0;32m<ipython-input-4-dac6f97cccdc>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m     35\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     36\u001b[0m \u001b[0mt\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mTestCycleCheck\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 37\u001b[0;31m \u001b[0mt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtest\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcycle_check\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
+      "\u001b[0;32m<ipython-input-4-dac6f97cccdc>\u001b[0m in \u001b[0;36mtest\u001b[0;34m(self, sol)\u001b[0m\n\u001b[1;32m     27\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     28\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mtest\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0msol\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 29\u001b[0;31m         \u001b[0massert_equal\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msol\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0ma\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     30\u001b[0m         \u001b[0massert_equal\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msol\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;32mFalse\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     31\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/usr/lib/python3.8/unittest/case.py\u001b[0m in \u001b[0;36massertEqual\u001b[0;34m(self, first, second, msg)\u001b[0m\n\u001b[1;32m    910\u001b[0m         \"\"\"\n\u001b[1;32m    911\u001b[0m         \u001b[0massertion_func\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_getAssertEqualityFunc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfirst\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msecond\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 912\u001b[0;31m         \u001b[0massertion_func\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfirst\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msecond\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmsg\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mmsg\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    913\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    914\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0massertNotEqual\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfirst\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msecond\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmsg\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/usr/lib/python3.8/unittest/case.py\u001b[0m in \u001b[0;36m_baseAssertEqual\u001b[0;34m(self, first, second, msg)\u001b[0m\n\u001b[1;32m    903\u001b[0m             \u001b[0mstandardMsg\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m'%s != %s'\u001b[0m \u001b[0;34m%\u001b[0m \u001b[0m_common_shorten_repr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfirst\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msecond\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    904\u001b[0m             \u001b[0mmsg\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_formatMessage\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmsg\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mstandardMsg\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 905\u001b[0;31m             \u001b[0;32mraise\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfailureException\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmsg\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    906\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    907\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0massertEqual\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfirst\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msecond\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmsg\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;31mAssertionError\u001b[0m: None != True"
+     ]
+    }
+   ],
+   "source": [
+    "\"\"\"\n",
+    "RUN THIS CELL TO TEST YOUR SOLUTION\n",
+    "\"\"\"\n",
+    "from nose.tools import assert_equal\n",
+    "\n",
+    "# CREATE CYCLE LIST\n",
+    "a = Node(1)\n",
+    "b = Node(2)\n",
+    "c = Node(3)\n",
+    "\n",
+    "a.nextnode = b\n",
+    "b.nextnode = c\n",
+    "c.nextnode = a # Cycle Here!\n",
+    "\n",
+    "\n",
+    "# CREATE NON CYCLE LIST\n",
+    "x = Node(1)\n",
+    "y = Node(2)\n",
+    "z = Node(3)\n",
+    "\n",
+    "x.nextnode = y\n",
+    "y.nextnode = z\n",
+    "\n",
+    "\n",
+    "#############\n",
+    "class TestCycleCheck(object):\n",
+    "    \n",
+    "    def test(self,sol):\n",
+    "        assert_equal(sol(a),True)\n",
+    "        assert_equal(sol(x),False)\n",
+    "        \n",
+    "        print(\"ALL TEST CASES PASSED\")\n",
+    "        \n",
+    "# Run Tests\n",
+    "\n",
+    "t = TestCycleCheck()\n",
+    "t.test(cycle_check)\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Good Job!"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 1
+}
diff --git a/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems /.ipynb_checkpoints/02-Linked List Reversal -checkpoint.ipynb b/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems /.ipynb_checkpoints/02-Linked List Reversal -checkpoint.ipynb
new file mode 100644
index 00000000..53b2b38d
--- /dev/null
+++ b/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems /.ipynb_checkpoints/02-Linked List Reversal -checkpoint.ipynb	
@@ -0,0 +1,173 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Linked List Reversal \n",
+    "\n",
+    "## Problem\n",
+    "\n",
+    "Write a function to reverse a Linked List in place. The function will take in the head of the list as input and return the new head of the list.\n",
+    "\n",
+    "You are given the example Linked List Node class:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "class Node(object):\n",
+    "    \n",
+    "    def __init__(self,value):\n",
+    "        \n",
+    "        self.value = value\n",
+    "        self.nextnode = None"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Solution\n",
+    "\n",
+    "Fill out your solution below:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def reverse(head):\n",
+    "    \n",
+    "    pass"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Test Your Solution\n",
+    "\n",
+    "**Note, this isn't a classic run cell for testing your solution, please read the statements below carefully**\n",
+    "\n",
+    "You should be able to easily test your own solution to make sure it works. Given the short list a,b,c,d with values 1,2,3,4. Check the effect of your reverse function and make sure the results match the logic here below:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Create a list of 4 nodes\n",
+    "a = Node(1)\n",
+    "b = Node(2)\n",
+    "c = Node(3)\n",
+    "d = Node(4)\n",
+    "\n",
+    "# Set up order a,b,c,d with values 1,2,3,4\n",
+    "a.nextnode = b\n",
+    "b.nextnode = c\n",
+    "c.nextnode = d"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Now let's check the values of the nodes coming after a, b and c:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "print(a.nextnode.value)\n",
+    "print(b.nextnode.value)\n",
+    "print(c.nextnode.value)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "d.nextnode.value"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "So far so good. Note how there is no value proceeding the last node, this makes sense! Now let's reverse the linked list, we should see the opposite order of values!"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "reverse(a)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "print(d.nextnode.value)\n",
+    "print(c.nextnode.value)\n",
+    "print(b.nextnode.value)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "print(a.nextnode.value) # This will give an error since it now points to None"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Great, now we can see that each of the values points to its previous value (although now that the linked list is reversed we can see the ordering has also reversed)\n",
+    "\n",
+    "## Good Job!"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 1
+}
diff --git a/Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems /.ipynb_checkpoints/Linked List Nth to Last Node -checkpoint.ipynb b/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems /.ipynb_checkpoints/03-Linked List Nth to Last Node -checkpoint.ipynb
similarity index 75%
rename from Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems /.ipynb_checkpoints/Linked List Nth to Last Node -checkpoint.ipynb
rename to 04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems /.ipynb_checkpoints/03-Linked List Nth to Last Node -checkpoint.ipynb
index de16594d..e0c7b2b3 100644
--- a/Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems /.ipynb_checkpoints/Linked List Nth to Last Node -checkpoint.ipynb	
+++ b/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems /.ipynb_checkpoints/03-Linked List Nth to Last Node -checkpoint.ipynb	
@@ -12,10 +12,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": null,
+   "metadata": {},
    "outputs": [],
    "source": [
     "class Node:\n",
@@ -34,10 +32,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": null,
+   "metadata": {},
    "outputs": [],
    "source": [
     "a = Node(1)\n",
@@ -57,22 +53,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "4"
-      ]
-     },
-     "execution_count": 7,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
    "source": [
     "target_node.value"
    ]
@@ -87,10 +70,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": null,
+   "metadata": {},
    "outputs": [],
    "source": [
     "def nth_to_last_node(n, head):\n",
@@ -107,19 +88,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "ALL TEST CASES PASSED\n"
-     ]
-    }
-   ],
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
    "source": [
     "\"\"\"\n",
     "RUN THIS CELL TO TEST YOUR SOLUTION AGAINST A TEST CASE \n",
@@ -147,7 +118,7 @@
     "    def test(self,sol):\n",
     "        \n",
     "        assert_equal(sol(2,a),d)\n",
-    "        print 'ALL TEST CASES PASSED'\n",
+    "        print('ALL TEST CASES PASSED')\n",
     "        \n",
     "# Run tests\n",
     "t = TestNLast()\n",
@@ -164,23 +135,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.11"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems /Implement a Doubly Linked List.ipynb b/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems /.ipynb_checkpoints/04-Implement a Doubly Linked List-checkpoint.ipynb
similarity index 89%
rename from Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems /Implement a Doubly Linked List.ipynb
rename to 04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems /.ipynb_checkpoints/04-Implement a Doubly Linked List-checkpoint.ipynb
index 047d0421..19dd3d24 100644
--- a/Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems /Implement a Doubly Linked List.ipynb	
+++ b/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems /.ipynb_checkpoints/04-Implement a Doubly Linked List-checkpoint.ipynb	
@@ -45,23 +45,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.11"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems /.ipynb_checkpoints/Implement a Singly Linked List-checkpoint.ipynb b/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems /.ipynb_checkpoints/04-Implement a Singly Linked List-checkpoint.ipynb
similarity index 89%
rename from Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems /.ipynb_checkpoints/Implement a Singly Linked List-checkpoint.ipynb
rename to 04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems /.ipynb_checkpoints/04-Implement a Singly Linked List-checkpoint.ipynb
index 92b84693..2cc0fc3b 100644
--- a/Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems /.ipynb_checkpoints/Implement a Singly Linked List-checkpoint.ipynb	
+++ b/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems /.ipynb_checkpoints/04-Implement a Singly Linked List-checkpoint.ipynb	
@@ -46,23 +46,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.11"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems /01-Singly Linked List Cycle Check.ipynb b/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems /01-Singly Linked List Cycle Check.ipynb
new file mode 100644
index 00000000..566656cf
--- /dev/null
+++ b/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems /01-Singly Linked List Cycle Check.ipynb	
@@ -0,0 +1,148 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Singly Linked List Cycle Check \n",
+    "\n",
+    "## Problem\n",
+    "\n",
+    "Given a singly linked list, write a function which takes in the first node in a singly linked list and returns a boolean indicating if the linked list contains a \"cycle\".\n",
+    "\n",
+    "A cycle is when a node's next point actually points back to a previous node in the list. This is also sometimes known as a circularly linked list.\n",
+    "\n",
+    "You've been given the Linked List Node class code:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "class Node(object):\n",
+    "    \n",
+    "    def __init__(self,value):\n",
+    "        \n",
+    "        self.value = value\n",
+    "        self.nextnode = None"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Solution\n",
+    "\n",
+    "Fill out your solution:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def cycle_check(node):\n",
+    "\n",
+    "    pass #Your function should return a boolean"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Test Your Solution"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "ename": "AssertionError",
+     "evalue": "None != True",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mAssertionError\u001b[0m                            Traceback (most recent call last)",
+      "\u001b[0;32m<ipython-input-4-dac6f97cccdc>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m     35\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     36\u001b[0m \u001b[0mt\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mTestCycleCheck\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 37\u001b[0;31m \u001b[0mt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtest\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcycle_check\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
+      "\u001b[0;32m<ipython-input-4-dac6f97cccdc>\u001b[0m in \u001b[0;36mtest\u001b[0;34m(self, sol)\u001b[0m\n\u001b[1;32m     27\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     28\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mtest\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0msol\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 29\u001b[0;31m         \u001b[0massert_equal\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msol\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0ma\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     30\u001b[0m         \u001b[0massert_equal\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msol\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;32mFalse\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     31\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/usr/lib/python3.8/unittest/case.py\u001b[0m in \u001b[0;36massertEqual\u001b[0;34m(self, first, second, msg)\u001b[0m\n\u001b[1;32m    910\u001b[0m         \"\"\"\n\u001b[1;32m    911\u001b[0m         \u001b[0massertion_func\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_getAssertEqualityFunc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfirst\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msecond\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 912\u001b[0;31m         \u001b[0massertion_func\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfirst\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msecond\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmsg\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mmsg\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    913\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    914\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0massertNotEqual\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfirst\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msecond\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmsg\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/usr/lib/python3.8/unittest/case.py\u001b[0m in \u001b[0;36m_baseAssertEqual\u001b[0;34m(self, first, second, msg)\u001b[0m\n\u001b[1;32m    903\u001b[0m             \u001b[0mstandardMsg\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m'%s != %s'\u001b[0m \u001b[0;34m%\u001b[0m \u001b[0m_common_shorten_repr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfirst\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msecond\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    904\u001b[0m             \u001b[0mmsg\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_formatMessage\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmsg\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mstandardMsg\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 905\u001b[0;31m             \u001b[0;32mraise\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfailureException\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmsg\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    906\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    907\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0massertEqual\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfirst\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msecond\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmsg\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;31mAssertionError\u001b[0m: None != True"
+     ]
+    }
+   ],
+   "source": [
+    "\"\"\"\n",
+    "RUN THIS CELL TO TEST YOUR SOLUTION\n",
+    "\"\"\"\n",
+    "from nose.tools import assert_equal\n",
+    "\n",
+    "# CREATE CYCLE LIST\n",
+    "a = Node(1)\n",
+    "b = Node(2)\n",
+    "c = Node(3)\n",
+    "\n",
+    "a.nextnode = b\n",
+    "b.nextnode = c\n",
+    "c.nextnode = a # Cycle Here!\n",
+    "\n",
+    "\n",
+    "# CREATE NON CYCLE LIST\n",
+    "x = Node(1)\n",
+    "y = Node(2)\n",
+    "z = Node(3)\n",
+    "\n",
+    "x.nextnode = y\n",
+    "y.nextnode = z\n",
+    "\n",
+    "\n",
+    "#############\n",
+    "class TestCycleCheck(object):\n",
+    "    \n",
+    "    def test(self,sol):\n",
+    "        assert_equal(sol(a),True)\n",
+    "        assert_equal(sol(x),False)\n",
+    "        \n",
+    "        print(\"ALL TEST CASES PASSED\")\n",
+    "        \n",
+    "# Run Tests\n",
+    "\n",
+    "t = TestCycleCheck()\n",
+    "t.test(cycle_check)\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Good Job!"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 1
+}
diff --git a/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems /02-Linked List Reversal .ipynb b/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems /02-Linked List Reversal .ipynb
new file mode 100644
index 00000000..53b2b38d
--- /dev/null
+++ b/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems /02-Linked List Reversal .ipynb	
@@ -0,0 +1,173 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Linked List Reversal \n",
+    "\n",
+    "## Problem\n",
+    "\n",
+    "Write a function to reverse a Linked List in place. The function will take in the head of the list as input and return the new head of the list.\n",
+    "\n",
+    "You are given the example Linked List Node class:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "class Node(object):\n",
+    "    \n",
+    "    def __init__(self,value):\n",
+    "        \n",
+    "        self.value = value\n",
+    "        self.nextnode = None"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Solution\n",
+    "\n",
+    "Fill out your solution below:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def reverse(head):\n",
+    "    \n",
+    "    pass"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Test Your Solution\n",
+    "\n",
+    "**Note, this isn't a classic run cell for testing your solution, please read the statements below carefully**\n",
+    "\n",
+    "You should be able to easily test your own solution to make sure it works. Given the short list a,b,c,d with values 1,2,3,4. Check the effect of your reverse function and make sure the results match the logic here below:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Create a list of 4 nodes\n",
+    "a = Node(1)\n",
+    "b = Node(2)\n",
+    "c = Node(3)\n",
+    "d = Node(4)\n",
+    "\n",
+    "# Set up order a,b,c,d with values 1,2,3,4\n",
+    "a.nextnode = b\n",
+    "b.nextnode = c\n",
+    "c.nextnode = d"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Now let's check the values of the nodes coming after a, b and c:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "print(a.nextnode.value)\n",
+    "print(b.nextnode.value)\n",
+    "print(c.nextnode.value)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "d.nextnode.value"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "So far so good. Note how there is no value proceeding the last node, this makes sense! Now let's reverse the linked list, we should see the opposite order of values!"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "reverse(a)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "print(d.nextnode.value)\n",
+    "print(c.nextnode.value)\n",
+    "print(b.nextnode.value)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "print(a.nextnode.value) # This will give an error since it now points to None"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Great, now we can see that each of the values points to its previous value (although now that the linked list is reversed we can see the ordering has also reversed)\n",
+    "\n",
+    "## Good Job!"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 1
+}
diff --git a/Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems /Linked List Nth to Last Node .ipynb b/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems /03-Linked List Nth to Last Node .ipynb
similarity index 75%
rename from Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems /Linked List Nth to Last Node .ipynb
rename to 04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems /03-Linked List Nth to Last Node .ipynb
index de16594d..e0c7b2b3 100644
--- a/Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems /Linked List Nth to Last Node .ipynb	
+++ b/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems /03-Linked List Nth to Last Node .ipynb	
@@ -12,10 +12,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": null,
+   "metadata": {},
    "outputs": [],
    "source": [
     "class Node:\n",
@@ -34,10 +32,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": null,
+   "metadata": {},
    "outputs": [],
    "source": [
     "a = Node(1)\n",
@@ -57,22 +53,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "4"
-      ]
-     },
-     "execution_count": 7,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
    "source": [
     "target_node.value"
    ]
@@ -87,10 +70,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": null,
+   "metadata": {},
    "outputs": [],
    "source": [
     "def nth_to_last_node(n, head):\n",
@@ -107,19 +88,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "ALL TEST CASES PASSED\n"
-     ]
-    }
-   ],
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
    "source": [
     "\"\"\"\n",
     "RUN THIS CELL TO TEST YOUR SOLUTION AGAINST A TEST CASE \n",
@@ -147,7 +118,7 @@
     "    def test(self,sol):\n",
     "        \n",
     "        assert_equal(sol(2,a),d)\n",
-    "        print 'ALL TEST CASES PASSED'\n",
+    "        print('ALL TEST CASES PASSED')\n",
     "        \n",
     "# Run tests\n",
     "t = TestNLast()\n",
@@ -164,23 +135,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.11"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems /.ipynb_checkpoints/Implement a Doubly Linked List-checkpoint.ipynb b/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems /04-Implement a Doubly Linked List.ipynb
similarity index 89%
rename from Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems /.ipynb_checkpoints/Implement a Doubly Linked List-checkpoint.ipynb
rename to 04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems /04-Implement a Doubly Linked List.ipynb
index 047d0421..19dd3d24 100644
--- a/Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems /.ipynb_checkpoints/Implement a Doubly Linked List-checkpoint.ipynb	
+++ b/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems /04-Implement a Doubly Linked List.ipynb	
@@ -45,23 +45,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.11"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems /Implement a Singly Linked List.ipynb b/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems /04-Implement a Singly Linked List.ipynb
similarity index 89%
rename from Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems /Implement a Singly Linked List.ipynb
rename to 04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems /04-Implement a Singly Linked List.ipynb
index 92b84693..2cc0fc3b 100644
--- a/Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems /Implement a Singly Linked List.ipynb	
+++ b/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems /04-Implement a Singly Linked List.ipynb	
@@ -46,23 +46,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.11"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Recursion/Introduction to Recursion.ipynb b/05-Recursion/.ipynb_checkpoints/01-Introduction to Recursion-checkpoint.ipynb
similarity index 93%
rename from Recursion/Introduction to Recursion.ipynb
rename to 05-Recursion/.ipynb_checkpoints/01-Introduction to Recursion-checkpoint.ipynb
index 0a165bd9..c339a9d1 100644
--- a/Recursion/Introduction to Recursion.ipynb	
+++ b/05-Recursion/.ipynb_checkpoints/01-Introduction to Recursion-checkpoint.ipynb	
@@ -57,10 +57,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 1,
+   "metadata": {},
    "outputs": [],
    "source": [
     "def fact(n):\n",
@@ -86,10 +84,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 2,
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -97,7 +93,7 @@
        "120"
       ]
      },
-     "execution_count": 3,
+     "execution_count": 2,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -117,10 +113,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 3,
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -131,7 +125,7 @@
        "<IPython.core.display.Image object>"
       ]
      },
-     "execution_count": 10,
+     "execution_count": 3,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -158,23 +152,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.10"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Recursion/Recursion Homework Example Problems.ipynb b/05-Recursion/.ipynb_checkpoints/02-Recursion Homework Example Problems-checkpoint.ipynb
similarity index 63%
rename from Recursion/Recursion Homework Example Problems.ipynb
rename to 05-Recursion/.ipynb_checkpoints/02-Recursion Homework Example Problems-checkpoint.ipynb
index ebe52213..60eae68a 100644
--- a/Recursion/Recursion Homework Example Problems.ipynb	
+++ b/05-Recursion/.ipynb_checkpoints/02-Recursion Homework Example Problems-checkpoint.ipynb	
@@ -26,10 +26,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": null,
+   "metadata": {},
    "outputs": [],
    "source": [
     "def rec_sum(n):\n",
@@ -39,22 +37,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "10"
-      ]
-     },
-     "execution_count": 8,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
    "source": [
     "rec_sum(4)"
    ]
@@ -72,10 +57,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": null,
+   "metadata": {},
    "outputs": [],
    "source": [
     "def sum_func(n):\n",
@@ -84,22 +67,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "10"
-      ]
-     },
-     "execution_count": 4,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
    "source": [
     "sum_func(4321)"
    ]
@@ -113,22 +83,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "1"
-      ]
-     },
-     "execution_count": 13,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
    "source": [
     "# You'll neeed to use modulo\n",
     "4321%10"
@@ -136,22 +93,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "432"
-      ]
-     },
-     "execution_count": 14,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
    "source": [
     "4321 / 10"
    ]
@@ -181,76 +125,35 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 32,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "['the', 'man', 'ran']"
-      ]
-     },
-     "execution_count": 32,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
    "source": [
     "word_split('themanran',['the','ran','man'])"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 33,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "['i', 'love', 'dogs', 'John']"
-      ]
-     },
-     "execution_count": 33,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
    "source": [
     "word_split('ilovedogsJohn',['i','am','a','dogs','lover','love','John'])"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 34,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "[]"
-      ]
-     },
-     "execution_count": 34,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
    "source": [
     "word_split('themanran',['clown','ran','man'])"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": null,
+   "metadata": {},
    "outputs": [],
    "source": [
     "def word_split(phrase,list_of_words, output = None):\n",
@@ -269,23 +172,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.10"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Recursion/Recursion Homework Example Problems - SOLUTIONS.ipynb b/05-Recursion/.ipynb_checkpoints/03-Recursion Homework Example Problems - SOLUTIONS-checkpoint.ipynb
similarity index 65%
rename from Recursion/Recursion Homework Example Problems - SOLUTIONS.ipynb
rename to 05-Recursion/.ipynb_checkpoints/03-Recursion Homework Example Problems - SOLUTIONS-checkpoint.ipynb
index f7bafd8e..fc6698ca 100644
--- a/Recursion/Recursion Homework Example Problems - SOLUTIONS.ipynb	
+++ b/05-Recursion/.ipynb_checkpoints/03-Recursion Homework Example Problems - SOLUTIONS-checkpoint.ipynb	
@@ -27,10 +27,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 1,
+   "metadata": {},
    "outputs": [],
    "source": [
     "def rec_sum(n):\n",
@@ -46,10 +44,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 2,
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -57,7 +53,7 @@
        "10"
       ]
      },
-     "execution_count": 8,
+     "execution_count": 2,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -80,9 +76,7 @@
   {
    "cell_type": "code",
    "execution_count": 3,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "def sum_func(n):\n",
@@ -98,19 +92,21 @@
   {
    "cell_type": "code",
    "execution_count": 4,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
-     "data": {
-      "text/plain": [
-       "10"
-      ]
-     },
-     "execution_count": 4,
-     "metadata": {},
-     "output_type": "execute_result"
+     "ename": "RecursionError",
+     "evalue": "maximum recursion depth exceeded while getting the str of an object",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mRecursionError\u001b[0m                            Traceback (most recent call last)",
+      "\u001b[0;32m<ipython-input-4-a557a69e80e0>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0msum_func\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m4321\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
+      "\u001b[0;32m<ipython-input-3-98805590be21>\u001b[0m in \u001b[0;36msum_func\u001b[0;34m(n)\u001b[0m\n\u001b[1;32m      6\u001b[0m     \u001b[0;31m# Recursion\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      7\u001b[0m     \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 8\u001b[0;31m         \u001b[0;32mreturn\u001b[0m \u001b[0mn\u001b[0m\u001b[0;34m%\u001b[0m\u001b[0;36m10\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0msum_func\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mn\u001b[0m\u001b[0;34m/\u001b[0m\u001b[0;36m10\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
+      "... last 1 frames repeated, from the frame below ...\n",
+      "\u001b[0;32m<ipython-input-3-98805590be21>\u001b[0m in \u001b[0;36msum_func\u001b[0;34m(n)\u001b[0m\n\u001b[1;32m      6\u001b[0m     \u001b[0;31m# Recursion\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      7\u001b[0m     \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 8\u001b[0;31m         \u001b[0;32mreturn\u001b[0m \u001b[0mn\u001b[0m\u001b[0;34m%\u001b[0m\u001b[0;36m10\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0msum_func\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mn\u001b[0m\u001b[0;34m/\u001b[0m\u001b[0;36m10\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
+      "\u001b[0;31mRecursionError\u001b[0m: maximum recursion depth exceeded while getting the str of an object"
+     ]
     }
    ],
    "source": [
@@ -126,22 +122,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "1"
-      ]
-     },
-     "execution_count": 13,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
    "source": [
     "# You'll neeed to use modulo\n",
     "4321%10"
@@ -149,22 +132,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "432"
-      ]
-     },
-     "execution_count": 14,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
    "source": [
     "4321 / 10"
    ]
@@ -194,76 +164,35 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 32,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "['the', 'man', 'ran']"
-      ]
-     },
-     "execution_count": 32,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
    "source": [
     "word_split('themanran',['the','ran','man'])"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 33,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "['i', 'love', 'dogs', 'John']"
-      ]
-     },
-     "execution_count": 33,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
    "source": [
     "word_split('ilovedogsJohn',['i','am','a','dogs','lover','love','John'])"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 34,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "[]"
-      ]
-     },
-     "execution_count": 34,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
    "source": [
     "word_split('themanran',['clown','ran','man'])"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": null,
+   "metadata": {},
    "outputs": [],
    "source": [
     "def word_split(phrase,list_of_words, output = None):\n",
@@ -305,23 +234,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.10"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Recursion/.ipynb_checkpoints/Recursion Homework Example Problems - PRACTICE-checkpoint.ipynb b/05-Recursion/.ipynb_checkpoints/04-Recursion Homework Example Problems - PRACTICE-checkpoint.ipynb
similarity index 95%
rename from Recursion/.ipynb_checkpoints/Recursion Homework Example Problems - PRACTICE-checkpoint.ipynb
rename to 05-Recursion/.ipynb_checkpoints/04-Recursion Homework Example Problems - PRACTICE-checkpoint.ipynb
index b6c7d5bb..2aba6d5b 100644
--- a/Recursion/.ipynb_checkpoints/Recursion Homework Example Problems - PRACTICE-checkpoint.ipynb	
+++ b/05-Recursion/.ipynb_checkpoints/04-Recursion Homework Example Problems - PRACTICE-checkpoint.ipynb	
@@ -71,7 +71,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -85,7 +85,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [
     {
@@ -94,7 +94,7 @@
        "10"
       ]
      },
-     "execution_count": 6,
+     "execution_count": 4,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -112,7 +112,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [
     {
@@ -121,7 +121,7 @@
        "1"
       ]
      },
-     "execution_count": 13,
+     "execution_count": 5,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -133,16 +133,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "432"
+       "432.1"
       ]
      },
-     "execution_count": 14,
+     "execution_count": 6,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -176,7 +176,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 32,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [
     {
@@ -185,7 +185,7 @@
        "['the', 'man', 'ran']"
       ]
      },
-     "execution_count": 32,
+     "execution_count": 11,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -196,7 +196,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 33,
+   "execution_count": 12,
    "metadata": {},
    "outputs": [
     {
@@ -205,7 +205,7 @@
        "['i', 'love', 'dogs', 'John']"
       ]
      },
-     "execution_count": 33,
+     "execution_count": 12,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -216,7 +216,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 34,
+   "execution_count": 13,
    "metadata": {},
    "outputs": [
     {
@@ -225,7 +225,7 @@
        "[]"
       ]
      },
-     "execution_count": 34,
+     "execution_count": 13,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -236,7 +236,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -285,7 +285,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.2"
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
diff --git a/Recursion/Memoization.ipynb b/05-Recursion/.ipynb_checkpoints/05-Memoization-checkpoint.ipynb
similarity index 95%
rename from Recursion/Memoization.ipynb
rename to 05-Recursion/.ipynb_checkpoints/05-Memoization-checkpoint.ipynb
index 8921ed05..23e604c1 100644
--- a/Recursion/Memoization.ipynb
+++ b/05-Recursion/.ipynb_checkpoints/05-Memoization-checkpoint.ipynb
@@ -18,9 +18,7 @@
   {
    "cell_type": "code",
    "execution_count": 1,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "# Create cache for known results\n",
@@ -73,9 +71,7 @@
   {
    "cell_type": "code",
    "execution_count": 3,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "class Memoize:\n",
@@ -98,9 +94,7 @@
   {
    "cell_type": "code",
    "execution_count": 4,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "def factorial(k):\n",
@@ -137,7 +131,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.2"
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
diff --git a/Recursion/.ipynb_checkpoints/Introduction to Recursion-checkpoint.ipynb b/05-Recursion/01-Introduction to Recursion.ipynb
similarity index 93%
rename from Recursion/.ipynb_checkpoints/Introduction to Recursion-checkpoint.ipynb
rename to 05-Recursion/01-Introduction to Recursion.ipynb
index 0a165bd9..c339a9d1 100644
--- a/Recursion/.ipynb_checkpoints/Introduction to Recursion-checkpoint.ipynb	
+++ b/05-Recursion/01-Introduction to Recursion.ipynb	
@@ -57,10 +57,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 1,
+   "metadata": {},
    "outputs": [],
    "source": [
     "def fact(n):\n",
@@ -86,10 +84,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 2,
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -97,7 +93,7 @@
        "120"
       ]
      },
-     "execution_count": 3,
+     "execution_count": 2,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -117,10 +113,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 3,
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -131,7 +125,7 @@
        "<IPython.core.display.Image object>"
       ]
      },
-     "execution_count": 10,
+     "execution_count": 3,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -158,23 +152,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.10"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Recursion/.ipynb_checkpoints/Recursion Homework Example Problems-checkpoint.ipynb b/05-Recursion/02-Recursion Homework Example Problems.ipynb
similarity index 63%
rename from Recursion/.ipynb_checkpoints/Recursion Homework Example Problems-checkpoint.ipynb
rename to 05-Recursion/02-Recursion Homework Example Problems.ipynb
index ebe52213..60eae68a 100644
--- a/Recursion/.ipynb_checkpoints/Recursion Homework Example Problems-checkpoint.ipynb	
+++ b/05-Recursion/02-Recursion Homework Example Problems.ipynb	
@@ -26,10 +26,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": null,
+   "metadata": {},
    "outputs": [],
    "source": [
     "def rec_sum(n):\n",
@@ -39,22 +37,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "10"
-      ]
-     },
-     "execution_count": 8,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
    "source": [
     "rec_sum(4)"
    ]
@@ -72,10 +57,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": null,
+   "metadata": {},
    "outputs": [],
    "source": [
     "def sum_func(n):\n",
@@ -84,22 +67,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "10"
-      ]
-     },
-     "execution_count": 4,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
    "source": [
     "sum_func(4321)"
    ]
@@ -113,22 +83,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "1"
-      ]
-     },
-     "execution_count": 13,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
    "source": [
     "# You'll neeed to use modulo\n",
     "4321%10"
@@ -136,22 +93,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "432"
-      ]
-     },
-     "execution_count": 14,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
    "source": [
     "4321 / 10"
    ]
@@ -181,76 +125,35 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 32,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "['the', 'man', 'ran']"
-      ]
-     },
-     "execution_count": 32,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
    "source": [
     "word_split('themanran',['the','ran','man'])"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 33,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "['i', 'love', 'dogs', 'John']"
-      ]
-     },
-     "execution_count": 33,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
    "source": [
     "word_split('ilovedogsJohn',['i','am','a','dogs','lover','love','John'])"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 34,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "[]"
-      ]
-     },
-     "execution_count": 34,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
    "source": [
     "word_split('themanran',['clown','ran','man'])"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": null,
+   "metadata": {},
    "outputs": [],
    "source": [
     "def word_split(phrase,list_of_words, output = None):\n",
@@ -269,23 +172,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.10"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Recursion/.ipynb_checkpoints/Recursion Homework Example Problems - SOLUTIONS-checkpoint.ipynb b/05-Recursion/03-Recursion Homework Example Problems - SOLUTIONS.ipynb
similarity index 65%
rename from Recursion/.ipynb_checkpoints/Recursion Homework Example Problems - SOLUTIONS-checkpoint.ipynb
rename to 05-Recursion/03-Recursion Homework Example Problems - SOLUTIONS.ipynb
index f7bafd8e..fc6698ca 100644
--- a/Recursion/.ipynb_checkpoints/Recursion Homework Example Problems - SOLUTIONS-checkpoint.ipynb	
+++ b/05-Recursion/03-Recursion Homework Example Problems - SOLUTIONS.ipynb	
@@ -27,10 +27,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 1,
+   "metadata": {},
    "outputs": [],
    "source": [
     "def rec_sum(n):\n",
@@ -46,10 +44,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 2,
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -57,7 +53,7 @@
        "10"
       ]
      },
-     "execution_count": 8,
+     "execution_count": 2,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -80,9 +76,7 @@
   {
    "cell_type": "code",
    "execution_count": 3,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "def sum_func(n):\n",
@@ -98,19 +92,21 @@
   {
    "cell_type": "code",
    "execution_count": 4,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
-     "data": {
-      "text/plain": [
-       "10"
-      ]
-     },
-     "execution_count": 4,
-     "metadata": {},
-     "output_type": "execute_result"
+     "ename": "RecursionError",
+     "evalue": "maximum recursion depth exceeded while getting the str of an object",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mRecursionError\u001b[0m                            Traceback (most recent call last)",
+      "\u001b[0;32m<ipython-input-4-a557a69e80e0>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0msum_func\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m4321\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
+      "\u001b[0;32m<ipython-input-3-98805590be21>\u001b[0m in \u001b[0;36msum_func\u001b[0;34m(n)\u001b[0m\n\u001b[1;32m      6\u001b[0m     \u001b[0;31m# Recursion\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      7\u001b[0m     \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 8\u001b[0;31m         \u001b[0;32mreturn\u001b[0m \u001b[0mn\u001b[0m\u001b[0;34m%\u001b[0m\u001b[0;36m10\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0msum_func\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mn\u001b[0m\u001b[0;34m/\u001b[0m\u001b[0;36m10\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
+      "... last 1 frames repeated, from the frame below ...\n",
+      "\u001b[0;32m<ipython-input-3-98805590be21>\u001b[0m in \u001b[0;36msum_func\u001b[0;34m(n)\u001b[0m\n\u001b[1;32m      6\u001b[0m     \u001b[0;31m# Recursion\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      7\u001b[0m     \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 8\u001b[0;31m         \u001b[0;32mreturn\u001b[0m \u001b[0mn\u001b[0m\u001b[0;34m%\u001b[0m\u001b[0;36m10\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0msum_func\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mn\u001b[0m\u001b[0;34m/\u001b[0m\u001b[0;36m10\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
+      "\u001b[0;31mRecursionError\u001b[0m: maximum recursion depth exceeded while getting the str of an object"
+     ]
     }
    ],
    "source": [
@@ -126,22 +122,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "1"
-      ]
-     },
-     "execution_count": 13,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
    "source": [
     "# You'll neeed to use modulo\n",
     "4321%10"
@@ -149,22 +132,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "432"
-      ]
-     },
-     "execution_count": 14,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
    "source": [
     "4321 / 10"
    ]
@@ -194,76 +164,35 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 32,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "['the', 'man', 'ran']"
-      ]
-     },
-     "execution_count": 32,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
    "source": [
     "word_split('themanran',['the','ran','man'])"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 33,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "['i', 'love', 'dogs', 'John']"
-      ]
-     },
-     "execution_count": 33,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
    "source": [
     "word_split('ilovedogsJohn',['i','am','a','dogs','lover','love','John'])"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 34,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "[]"
-      ]
-     },
-     "execution_count": 34,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
    "source": [
     "word_split('themanran',['clown','ran','man'])"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": null,
+   "metadata": {},
    "outputs": [],
    "source": [
     "def word_split(phrase,list_of_words, output = None):\n",
@@ -305,23 +234,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.10"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Recursion/Recursion Homework Example Problems - PRACTICE.ipynb b/05-Recursion/04-Recursion Homework Example Problems - PRACTICE.ipynb
similarity index 95%
rename from Recursion/Recursion Homework Example Problems - PRACTICE.ipynb
rename to 05-Recursion/04-Recursion Homework Example Problems - PRACTICE.ipynb
index b6c7d5bb..2aba6d5b 100644
--- a/Recursion/Recursion Homework Example Problems - PRACTICE.ipynb	
+++ b/05-Recursion/04-Recursion Homework Example Problems - PRACTICE.ipynb	
@@ -71,7 +71,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -85,7 +85,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [
     {
@@ -94,7 +94,7 @@
        "10"
       ]
      },
-     "execution_count": 6,
+     "execution_count": 4,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -112,7 +112,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [
     {
@@ -121,7 +121,7 @@
        "1"
       ]
      },
-     "execution_count": 13,
+     "execution_count": 5,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -133,16 +133,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "432"
+       "432.1"
       ]
      },
-     "execution_count": 14,
+     "execution_count": 6,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -176,7 +176,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 32,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [
     {
@@ -185,7 +185,7 @@
        "['the', 'man', 'ran']"
       ]
      },
-     "execution_count": 32,
+     "execution_count": 11,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -196,7 +196,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 33,
+   "execution_count": 12,
    "metadata": {},
    "outputs": [
     {
@@ -205,7 +205,7 @@
        "['i', 'love', 'dogs', 'John']"
       ]
      },
-     "execution_count": 33,
+     "execution_count": 12,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -216,7 +216,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 34,
+   "execution_count": 13,
    "metadata": {},
    "outputs": [
     {
@@ -225,7 +225,7 @@
        "[]"
       ]
      },
-     "execution_count": 34,
+     "execution_count": 13,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -236,7 +236,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -285,7 +285,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.2"
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
diff --git a/Recursion/.ipynb_checkpoints/Memoization-checkpoint.ipynb b/05-Recursion/05-Memoization.ipynb
similarity index 91%
rename from Recursion/.ipynb_checkpoints/Memoization-checkpoint.ipynb
rename to 05-Recursion/05-Memoization.ipynb
index 7de1aee7..23e604c1 100644
--- a/Recursion/.ipynb_checkpoints/Memoization-checkpoint.ipynb
+++ b/05-Recursion/05-Memoization.ipynb
@@ -18,9 +18,7 @@
   {
    "cell_type": "code",
    "execution_count": 1,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "# Create cache for known results\n",
@@ -40,9 +38,7 @@
   {
    "cell_type": "code",
    "execution_count": 2,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -75,9 +71,7 @@
   {
    "cell_type": "code",
    "execution_count": 3,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "class Memoize:\n",
@@ -100,9 +94,7 @@
   {
    "cell_type": "code",
    "execution_count": 4,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "def factorial(k):\n",
@@ -125,23 +117,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.10"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Recursion/Recursion Interview Problems/Recursion Problems -  SOLUTIONS/Recursion Problem 1 - Reverse String - SOLUTION.ipynb b/05-Recursion/Recursion Interview Problems/Recursion Problems -  SOLUTIONS/.ipynb_checkpoints/01-Reverse String - SOLUTION-checkpoint.ipynb
similarity index 95%
rename from Recursion/Recursion Interview Problems/Recursion Problems -  SOLUTIONS/Recursion Problem 1 - Reverse String - SOLUTION.ipynb
rename to 05-Recursion/Recursion Interview Problems/Recursion Problems -  SOLUTIONS/.ipynb_checkpoints/01-Reverse String - SOLUTION-checkpoint.ipynb
index fa3aca61..d24c58f7 100644
--- a/Recursion/Recursion Interview Problems/Recursion Problems -  SOLUTIONS/Recursion Problem 1 - Reverse String - SOLUTION.ipynb	
+++ b/05-Recursion/Recursion Interview Problems/Recursion Problems -  SOLUTIONS/.ipynb_checkpoints/01-Reverse String - SOLUTION-checkpoint.ipynb	
@@ -21,7 +21,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -37,7 +37,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [
     {
@@ -46,7 +46,7 @@
        "'dlrow olleh'"
       ]
      },
-     "execution_count": 10,
+     "execution_count": 2,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -72,7 +72,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [
     {
@@ -97,7 +97,7 @@
     "        assert_equal(solution('hello world'),'dlrow olleh')\n",
     "        assert_equal(solution('123456789'),'987654321')\n",
     "        \n",
-    "        print 'PASSED ALL TEST CASES!'\n",
+    "        print('PASSED ALL TEST CASES!')\n",
     "        \n",
     "# Run Tests\n",
     "test = TestReverse()\n",
@@ -132,7 +132,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.2"
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
diff --git a/Recursion/Recursion Interview Problems/Recursion Problems -  SOLUTIONS/Recursion Problem 2 - String Permutation- SOLUTION.ipynb b/05-Recursion/Recursion Interview Problems/Recursion Problems -  SOLUTIONS/.ipynb_checkpoints/02-String Permutation- SOLUTION-checkpoint.ipynb
similarity index 95%
rename from Recursion/Recursion Interview Problems/Recursion Problems -  SOLUTIONS/Recursion Problem 2 - String Permutation- SOLUTION.ipynb
rename to 05-Recursion/Recursion Interview Problems/Recursion Problems -  SOLUTIONS/.ipynb_checkpoints/02-String Permutation- SOLUTION-checkpoint.ipynb
index a45943a5..93d49093 100644
--- a/Recursion/Recursion Interview Problems/Recursion Problems -  SOLUTIONS/Recursion Problem 2 - String Permutation- SOLUTION.ipynb	
+++ b/05-Recursion/Recursion Interview Problems/Recursion Problems -  SOLUTIONS/.ipynb_checkpoints/02-String Permutation- SOLUTION-checkpoint.ipynb	
@@ -34,10 +34,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 1,
+   "metadata": {},
    "outputs": [],
    "source": [
     "def permute(s):\n",
@@ -62,7 +60,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [
     {
@@ -71,7 +69,7 @@
        "['abc', 'acb', 'bac', 'bca', 'cab', 'cba']"
       ]
      },
-     "execution_count": 24,
+     "execution_count": 2,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -90,7 +88,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [
     {
@@ -115,7 +113,7 @@
     "        assert_equal(sorted(solution('abc')),sorted(['abc', 'acb', 'bac', 'bca', 'cab', 'cba']))\n",
     "        assert_equal(sorted(solution('dog')),sorted(['dog', 'dgo', 'odg', 'ogd', 'gdo', 'god']) )\n",
     "        \n",
-    "        print 'All test cases passed.'\n",
+    "        print('All test cases passed.')\n",
     "        \n",
     "\n",
     "\n",
@@ -163,7 +161,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.2"
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
diff --git a/Recursion/Recursion Interview Problems/Recursion Problems -  SOLUTIONS/Recursion Problem 3 - Fibonacci Sequence - SOLUTION.ipynb b/05-Recursion/Recursion Interview Problems/Recursion Problems -  SOLUTIONS/.ipynb_checkpoints/03-Fibonacci Sequence - SOLUTION-checkpoint.ipynb
similarity index 94%
rename from Recursion/Recursion Interview Problems/Recursion Problems -  SOLUTIONS/Recursion Problem 3 - Fibonacci Sequence - SOLUTION.ipynb
rename to 05-Recursion/Recursion Interview Problems/Recursion Problems -  SOLUTIONS/.ipynb_checkpoints/03-Fibonacci Sequence - SOLUTION-checkpoint.ipynb
index a774e188..8dcb5da7 100644
--- a/Recursion/Recursion Interview Problems/Recursion Problems -  SOLUTIONS/Recursion Problem 3 - Fibonacci Sequence - SOLUTION.ipynb	
+++ b/05-Recursion/Recursion Interview Problems/Recursion Problems -  SOLUTIONS/.ipynb_checkpoints/03-Fibonacci Sequence - SOLUTION-checkpoint.ipynb	
@@ -33,9 +33,7 @@
   {
    "cell_type": "code",
    "execution_count": 1,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "def fib_rec(n):\n",
@@ -80,7 +78,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -107,7 +105,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [
     {
@@ -116,7 +114,7 @@
        "55"
       ]
      },
-     "execution_count": 9,
+     "execution_count": 4,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -136,10 +134,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 5,
+   "metadata": {},
    "outputs": [],
    "source": [
     "def fib_iter(n):\n",
@@ -158,7 +154,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [
     {
@@ -167,7 +163,7 @@
        "28657"
       ]
      },
-     "execution_count": 14,
+     "execution_count": 6,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -187,7 +183,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [
     {
@@ -212,7 +208,7 @@
     "        assert_equal(solution(10),55)\n",
     "        assert_equal(solution(1),1)\n",
     "        assert_equal(solution(23),28657)\n",
-    "        print 'Passed all tests.'\n",
+    "        print('Passed all tests.')\n",
     "# UNCOMMENT FOR CORRESPONDING FUNCTION\n",
     "t = TestFib()\n",
     "\n",
@@ -247,7 +243,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.2"
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
diff --git a/Recursion/Recursion Interview Problems/Recursion Problems -  SOLUTIONS/Recursion Problem 4 - Coin Change - SOLUTION.ipynb b/05-Recursion/Recursion Interview Problems/Recursion Problems -  SOLUTIONS/.ipynb_checkpoints/04-Coin Change - SOLUTION-checkpoint.ipynb
similarity index 90%
rename from Recursion/Recursion Interview Problems/Recursion Problems -  SOLUTIONS/Recursion Problem 4 - Coin Change - SOLUTION.ipynb
rename to 05-Recursion/Recursion Interview Problems/Recursion Problems -  SOLUTIONS/.ipynb_checkpoints/04-Coin Change - SOLUTION-checkpoint.ipynb
index 2368b86b..9e22d086 100644
--- a/Recursion/Recursion Interview Problems/Recursion Problems -  SOLUTIONS/Recursion Problem 4 - Coin Change - SOLUTION.ipynb	
+++ b/05-Recursion/Recursion Interview Problems/Recursion Problems -  SOLUTIONS/.ipynb_checkpoints/04-Coin Change - SOLUTION-checkpoint.ipynb	
@@ -39,7 +39,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -83,20 +83,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "6"
-      ]
-     },
-     "execution_count": 2,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "rec_coin(63,[1,5,10,25])"
    ]
@@ -112,23 +101,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<img src=\"http://interactivepython.org/runestone/static/pythonds/_images/callTree.png/"/>"
-      ],
-      "text/plain": [
-       "<IPython.core.display.Image object>"
-      ]
-     },
-     "execution_count": 25,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "from IPython.display import Image\n",
     "Image(url='http://interactivepython.org/runestone/static/pythonds/_images/callTree.png')"
@@ -149,7 +124,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 53,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -200,20 +175,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 56,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "8"
-      ]
-     },
-     "execution_count": 56,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "target = 74\n",
     "coins = [1,5,10,25]\n",
@@ -254,7 +218,7 @@
     "        assert_equal(solution(23,coins),5)\n",
     "        assert_equal(solution(74,coins),8)\n",
     "\n",
-    "        print 'Passed all tests.'\n",
+    "        print('Passed all tests.')\n",
     "        \n",
     "# Run Test\n",
     "\n",
@@ -291,7 +255,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.2"
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
diff --git a/Recursion/Recursion Interview Problems/Recursion Problems -  SOLUTIONS/.ipynb_checkpoints/Recursion Problem 1 - Reverse String - SOLUTION-checkpoint.ipynb b/05-Recursion/Recursion Interview Problems/Recursion Problems -  SOLUTIONS/01-Reverse String - SOLUTION.ipynb
similarity index 87%
rename from Recursion/Recursion Interview Problems/Recursion Problems -  SOLUTIONS/.ipynb_checkpoints/Recursion Problem 1 - Reverse String - SOLUTION-checkpoint.ipynb
rename to 05-Recursion/Recursion Interview Problems/Recursion Problems -  SOLUTIONS/01-Reverse String - SOLUTION.ipynb
index 3f683cab..d24c58f7 100644
--- a/Recursion/Recursion Interview Problems/Recursion Problems -  SOLUTIONS/.ipynb_checkpoints/Recursion Problem 1 - Reverse String - SOLUTION-checkpoint.ipynb	
+++ b/05-Recursion/Recursion Interview Problems/Recursion Problems -  SOLUTIONS/01-Reverse String - SOLUTION.ipynb	
@@ -21,10 +21,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 1,
+   "metadata": {},
    "outputs": [],
    "source": [
     "def reverse(s):\n",
@@ -39,10 +37,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 2,
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -50,7 +46,7 @@
        "'dlrow olleh'"
       ]
      },
-     "execution_count": 10,
+     "execution_count": 2,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -76,10 +72,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 3,
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -103,7 +97,7 @@
     "        assert_equal(solution('hello world'),'dlrow olleh')\n",
     "        assert_equal(solution('123456789'),'987654321')\n",
     "        \n",
-    "        print 'PASSED ALL TEST CASES!'\n",
+    "        print('PASSED ALL TEST CASES!')\n",
     "        \n",
     "# Run Tests\n",
     "test = TestReverse()\n",
@@ -124,23 +118,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.10"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Recursion/Recursion Interview Problems/Recursion Problems -  SOLUTIONS/.ipynb_checkpoints/Recursion Problem 2 - String Permutation- SOLUTION-checkpoint.ipynb b/05-Recursion/Recursion Interview Problems/Recursion Problems -  SOLUTIONS/02-String Permutation- SOLUTION.ipynb
similarity index 92%
rename from Recursion/Recursion Interview Problems/Recursion Problems -  SOLUTIONS/.ipynb_checkpoints/Recursion Problem 2 - String Permutation- SOLUTION-checkpoint.ipynb
rename to 05-Recursion/Recursion Interview Problems/Recursion Problems -  SOLUTIONS/02-String Permutation- SOLUTION.ipynb
index 31274b2b..93d49093 100644
--- a/Recursion/Recursion Interview Problems/Recursion Problems -  SOLUTIONS/.ipynb_checkpoints/Recursion Problem 2 - String Permutation- SOLUTION-checkpoint.ipynb	
+++ b/05-Recursion/Recursion Interview Problems/Recursion Problems -  SOLUTIONS/02-String Permutation- SOLUTION.ipynb	
@@ -34,10 +34,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 1,
+   "metadata": {},
    "outputs": [],
    "source": [
     "def permute(s):\n",
@@ -62,10 +60,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 2,
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -73,7 +69,7 @@
        "['abc', 'acb', 'bac', 'bca', 'cab', 'cba']"
       ]
      },
-     "execution_count": 24,
+     "execution_count": 2,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -92,10 +88,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 3,
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -119,7 +113,7 @@
     "        assert_equal(sorted(solution('abc')),sorted(['abc', 'acb', 'bac', 'bca', 'cab', 'cba']))\n",
     "        assert_equal(sorted(solution('dog')),sorted(['dog', 'dgo', 'odg', 'ogd', 'gdo', 'god']) )\n",
     "        \n",
-    "        print 'All test cases passed.'\n",
+    "        print('All test cases passed.')\n",
     "        \n",
     "\n",
     "\n",
@@ -153,23 +147,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.10"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Recursion/Recursion Interview Problems/Recursion Problems -  SOLUTIONS/.ipynb_checkpoints/Recursion Problem 3 - Fibonacci Sequence - SOLUTION-checkpoint.ipynb b/05-Recursion/Recursion Interview Problems/Recursion Problems -  SOLUTIONS/03-Fibonacci Sequence - SOLUTION.ipynb
similarity index 88%
rename from Recursion/Recursion Interview Problems/Recursion Problems -  SOLUTIONS/.ipynb_checkpoints/Recursion Problem 3 - Fibonacci Sequence - SOLUTION-checkpoint.ipynb
rename to 05-Recursion/Recursion Interview Problems/Recursion Problems -  SOLUTIONS/03-Fibonacci Sequence - SOLUTION.ipynb
index 30914e73..8dcb5da7 100644
--- a/Recursion/Recursion Interview Problems/Recursion Problems -  SOLUTIONS/.ipynb_checkpoints/Recursion Problem 3 - Fibonacci Sequence - SOLUTION-checkpoint.ipynb	
+++ b/05-Recursion/Recursion Interview Problems/Recursion Problems -  SOLUTIONS/03-Fibonacci Sequence - SOLUTION.ipynb	
@@ -33,9 +33,7 @@
   {
    "cell_type": "code",
    "execution_count": 1,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "def fib_rec(n):\n",
@@ -52,9 +50,7 @@
   {
    "cell_type": "code",
    "execution_count": 2,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -82,10 +78,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 3,
+   "metadata": {},
    "outputs": [],
    "source": [
     "# Instantiate Cache information\n",
@@ -111,10 +105,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 4,
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -122,7 +114,7 @@
        "55"
       ]
      },
-     "execution_count": 9,
+     "execution_count": 4,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -142,10 +134,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 5,
+   "metadata": {},
    "outputs": [],
    "source": [
     "def fib_iter(n):\n",
@@ -164,10 +154,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 6,
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -175,7 +163,7 @@
        "28657"
       ]
      },
-     "execution_count": 14,
+     "execution_count": 6,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -195,10 +183,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 7,
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -222,7 +208,7 @@
     "        assert_equal(solution(10),55)\n",
     "        assert_equal(solution(1),1)\n",
     "        assert_equal(solution(23),28657)\n",
-    "        print 'Passed all tests.'\n",
+    "        print('Passed all tests.')\n",
     "# UNCOMMENT FOR CORRESPONDING FUNCTION\n",
     "t = TestFib()\n",
     "\n",
@@ -243,23 +229,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.10"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Recursion/Recursion Interview Problems/Recursion Problems -  SOLUTIONS/.ipynb_checkpoints/Recursion Problem 4 - Coin Change - SOLUTION-checkpoint.ipynb b/05-Recursion/Recursion Interview Problems/Recursion Problems -  SOLUTIONS/04-Coin Change - SOLUTION.ipynb
similarity index 86%
rename from Recursion/Recursion Interview Problems/Recursion Problems -  SOLUTIONS/.ipynb_checkpoints/Recursion Problem 4 - Coin Change - SOLUTION-checkpoint.ipynb
rename to 05-Recursion/Recursion Interview Problems/Recursion Problems -  SOLUTIONS/04-Coin Change - SOLUTION.ipynb
index a3ace666..9e22d086 100644
--- a/Recursion/Recursion Interview Problems/Recursion Problems -  SOLUTIONS/.ipynb_checkpoints/Recursion Problem 4 - Coin Change - SOLUTION-checkpoint.ipynb	
+++ b/05-Recursion/Recursion Interview Problems/Recursion Problems -  SOLUTIONS/04-Coin Change - SOLUTION.ipynb	
@@ -39,10 +39,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 60,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": null,
+   "metadata": {},
    "outputs": [],
    "source": [
     "def rec_coin(target,coins):\n",
@@ -85,19 +83,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 52,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "6\n"
-     ]
-    }
-   ],
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
    "source": [
     "rec_coin(63,[1,5,10,25])"
    ]
@@ -113,25 +101,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<img src=\"http://interactivepython.org/runestone/static/pythonds/_images/callTree.png/"/>"
-      ],
-      "text/plain": [
-       "<IPython.core.display.Image object>"
-      ]
-     },
-     "execution_count": 25,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
    "source": [
     "from IPython.display import Image\n",
     "Image(url='http://interactivepython.org/runestone/static/pythonds/_images/callTree.png')"
@@ -152,10 +124,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 53,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": null,
+   "metadata": {},
    "outputs": [],
    "source": [
     "def rec_coin_dynam(target,coins,known_results):\n",
@@ -205,22 +175,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 56,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "8"
-      ]
-     },
-     "execution_count": 56,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
    "source": [
     "target = 74\n",
     "coins = [1,5,10,25]\n",
@@ -243,9 +200,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "\"\"\"\n",
@@ -263,7 +218,7 @@
     "        assert_equal(solution(23,coins),5)\n",
     "        assert_equal(solution(74,coins),8)\n",
     "\n",
-    "        print 'Passed all tests.'\n",
+    "        print('Passed all tests.')\n",
     "        \n",
     "# Run Test\n",
     "\n",
@@ -286,23 +241,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.11"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Recursion/Recursion Interview Problems/Recursion Problems - PRACTICE/.ipynb_checkpoints/Recursion Problem 1 - Reverse String -checkpoint.ipynb b/05-Recursion/Recursion Interview Problems/Recursion Problems - PRACTICE/.ipynb_checkpoints/01-Reverse String -checkpoint.ipynb
similarity index 95%
rename from Recursion/Recursion Interview Problems/Recursion Problems - PRACTICE/.ipynb_checkpoints/Recursion Problem 1 - Reverse String -checkpoint.ipynb
rename to 05-Recursion/Recursion Interview Problems/Recursion Problems - PRACTICE/.ipynb_checkpoints/01-Reverse String -checkpoint.ipynb
index b645222c..3149c274 100644
--- a/Recursion/Recursion Interview Problems/Recursion Problems - PRACTICE/.ipynb_checkpoints/Recursion Problem 1 - Reverse String -checkpoint.ipynb	
+++ b/05-Recursion/Recursion Interview Problems/Recursion Problems - PRACTICE/.ipynb_checkpoints/01-Reverse String -checkpoint.ipynb	
@@ -17,7 +17,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -32,7 +32,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [
     {
@@ -41,7 +41,7 @@
        "'dlrow olleh'"
       ]
      },
-     "execution_count": 8,
+     "execution_count": 2,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -67,7 +67,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [
     {
@@ -123,7 +123,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.2"
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
diff --git a/Recursion/Recursion Interview Problems/Recursion Problems - PRACTICE/Recursion Problem 2 - String Permutation.ipynb b/05-Recursion/Recursion Interview Problems/Recursion Problems - PRACTICE/.ipynb_checkpoints/02-String Permutation-checkpoint.ipynb
similarity index 95%
rename from Recursion/Recursion Interview Problems/Recursion Problems - PRACTICE/Recursion Problem 2 - String Permutation.ipynb
rename to 05-Recursion/Recursion Interview Problems/Recursion Problems - PRACTICE/.ipynb_checkpoints/02-String Permutation-checkpoint.ipynb
index a69fc179..fe3e00df 100644
--- a/Recursion/Recursion Interview Problems/Recursion Problems - PRACTICE/Recursion Problem 2 - String Permutation.ipynb	
+++ b/05-Recursion/Recursion Interview Problems/Recursion Problems - PRACTICE/.ipynb_checkpoints/02-String Permutation-checkpoint.ipynb	
@@ -24,7 +24,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 68,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -42,7 +42,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 69,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [
     {
@@ -51,7 +51,7 @@
        "['abc', 'acb', 'bac', 'bca', 'cab', 'cba']"
       ]
      },
-     "execution_count": 69,
+     "execution_count": 2,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -70,7 +70,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 71,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [
     {
@@ -128,7 +128,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.2"
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
diff --git a/Recursion/Recursion Interview Problems/Recursion Problems - PRACTICE/Recursion Problem 3 - Fibonacci Sequence.ipynb b/05-Recursion/Recursion Interview Problems/Recursion Problems - PRACTICE/.ipynb_checkpoints/03-Fibonacci Sequence-checkpoint.ipynb
similarity index 95%
rename from Recursion/Recursion Interview Problems/Recursion Problems - PRACTICE/Recursion Problem 3 - Fibonacci Sequence.ipynb
rename to 05-Recursion/Recursion Interview Problems/Recursion Problems - PRACTICE/.ipynb_checkpoints/03-Fibonacci Sequence-checkpoint.ipynb
index 81c56493..ade41e73 100644
--- a/Recursion/Recursion Interview Problems/Recursion Problems - PRACTICE/Recursion Problem 3 - Fibonacci Sequence.ipynb	
+++ b/05-Recursion/Recursion Interview Problems/Recursion Problems - PRACTICE/.ipynb_checkpoints/03-Fibonacci Sequence-checkpoint.ipynb	
@@ -41,7 +41,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -55,7 +55,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [
     {
@@ -64,7 +64,7 @@
        "55"
       ]
      },
-     "execution_count": 9,
+     "execution_count": 2,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -84,7 +84,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [
     {
@@ -114,7 +114,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [
     {
@@ -123,7 +123,7 @@
        "55"
       ]
      },
-     "execution_count": 20,
+     "execution_count": 4,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -143,7 +143,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 49,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -161,7 +161,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 50,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [
     {
@@ -170,7 +170,7 @@
        "28657"
       ]
      },
-     "execution_count": 50,
+     "execution_count": 6,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -190,7 +190,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 48,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [
     {
@@ -250,7 +250,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.2"
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
diff --git a/Recursion/Recursion Interview Problems/Recursion Problems - PRACTICE/Recursion Problem 4 - Coin Change.ipynb b/05-Recursion/Recursion Interview Problems/Recursion Problems - PRACTICE/.ipynb_checkpoints/04-Coin Change-checkpoint.ipynb
similarity index 89%
rename from Recursion/Recursion Interview Problems/Recursion Problems - PRACTICE/Recursion Problem 4 - Coin Change.ipynb
rename to 05-Recursion/Recursion Interview Problems/Recursion Problems - PRACTICE/.ipynb_checkpoints/04-Coin Change-checkpoint.ipynb
index 68a6dcae..39cdb3f5 100644
--- a/Recursion/Recursion Interview Problems/Recursion Problems - PRACTICE/Recursion Problem 4 - Coin Change.ipynb	
+++ b/05-Recursion/Recursion Interview Problems/Recursion Problems - PRACTICE/.ipynb_checkpoints/04-Coin Change-checkpoint.ipynb	
@@ -39,7 +39,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -58,40 +58,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "2"
-      ]
-     },
-     "execution_count": 5,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "rec_coin(10,[1,5]) #2"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "6"
-      ]
-     },
-     "execution_count": 6,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "rec_coin(63,[1,5,10,25])"
    ]
@@ -161,7 +139,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.2"
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
diff --git a/Recursion/Recursion Interview Problems/Recursion Problems - PRACTICE/.ipynb_checkpoints/Recursion Problem 2 - String Permutations-checkpoint.ipynb b/05-Recursion/Recursion Interview Problems/Recursion Problems - PRACTICE/.ipynb_checkpoints/Recursion Problem 2 - String Permutations-checkpoint.ipynb
similarity index 100%
rename from Recursion/Recursion Interview Problems/Recursion Problems - PRACTICE/.ipynb_checkpoints/Recursion Problem 2 - String Permutations-checkpoint.ipynb
rename to 05-Recursion/Recursion Interview Problems/Recursion Problems - PRACTICE/.ipynb_checkpoints/Recursion Problem 2 - String Permutations-checkpoint.ipynb
diff --git a/Recursion/Recursion Interview Problems/Recursion Problems - PRACTICE/Recursion Problem 1 - Reverse String .ipynb b/05-Recursion/Recursion Interview Problems/Recursion Problems - PRACTICE/01-Reverse String .ipynb
similarity index 95%
rename from Recursion/Recursion Interview Problems/Recursion Problems - PRACTICE/Recursion Problem 1 - Reverse String .ipynb
rename to 05-Recursion/Recursion Interview Problems/Recursion Problems - PRACTICE/01-Reverse String .ipynb
index b645222c..3149c274 100644
--- a/Recursion/Recursion Interview Problems/Recursion Problems - PRACTICE/Recursion Problem 1 - Reverse String .ipynb	
+++ b/05-Recursion/Recursion Interview Problems/Recursion Problems - PRACTICE/01-Reverse String .ipynb	
@@ -17,7 +17,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -32,7 +32,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [
     {
@@ -41,7 +41,7 @@
        "'dlrow olleh'"
       ]
      },
-     "execution_count": 8,
+     "execution_count": 2,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -67,7 +67,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [
     {
@@ -123,7 +123,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.2"
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
diff --git a/Recursion/Recursion Interview Problems/Recursion Problems/Recursion Problem 2 - String Permutation.ipynb b/05-Recursion/Recursion Interview Problems/Recursion Problems - PRACTICE/02-String Permutation.ipynb
similarity index 79%
rename from Recursion/Recursion Interview Problems/Recursion Problems/Recursion Problem 2 - String Permutation.ipynb
rename to 05-Recursion/Recursion Interview Problems/Recursion Problems - PRACTICE/02-String Permutation.ipynb
index e2585c12..fe3e00df 100644
--- a/Recursion/Recursion Interview Problems/Recursion Problems/Recursion Problem 2 - String Permutation.ipynb	
+++ b/05-Recursion/Recursion Interview Problems/Recursion Problems - PRACTICE/02-String Permutation.ipynb	
@@ -24,23 +24,26 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 1,
+   "metadata": {},
    "outputs": [],
    "source": [
     "def permute(s):\n",
+    "    output = []\n",
     "    \n",
-    "    pass"
+    "    if len(s) <= 1:\n",
+    "        output=[s]\n",
+    "    else:\n",
+    "        for i, let in enumerate(s):\n",
+    "            for perm in permute(s[:i]+s[i+1:]):\n",
+    "                output+=[let+perm]\n",
+    "    return output"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 2,
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -48,7 +51,7 @@
        "['abc', 'acb', 'bac', 'bca', 'cab', 'cba']"
       ]
      },
-     "execution_count": 24,
+     "execution_count": 2,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -67,10 +70,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 3,
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -94,7 +95,7 @@
     "        assert_equal(sorted(solution('abc')),sorted(['abc', 'acb', 'bac', 'bca', 'cab', 'cba']))\n",
     "        assert_equal(sorted(solution('dog')),sorted(['dog', 'dgo', 'odg', 'ogd', 'gdo', 'god']) )\n",
     "        \n",
-    "        print 'All test cases passed.'\n",
+    "        print ('All test cases passed.')\n",
     "        \n",
     "\n",
     "\n",
@@ -113,23 +114,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.10"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Recursion/Recursion Interview Problems/Recursion Problems - PRACTICE/.ipynb_checkpoints/Recursion Problem 3 - Fibonacci Sequence-checkpoint.ipynb b/05-Recursion/Recursion Interview Problems/Recursion Problems - PRACTICE/03-Fibonacci Sequence.ipynb
similarity index 91%
rename from Recursion/Recursion Interview Problems/Recursion Problems - PRACTICE/.ipynb_checkpoints/Recursion Problem 3 - Fibonacci Sequence-checkpoint.ipynb
rename to 05-Recursion/Recursion Interview Problems/Recursion Problems - PRACTICE/03-Fibonacci Sequence.ipynb
index 514061b4..ade41e73 100644
--- a/Recursion/Recursion Interview Problems/Recursion Problems - PRACTICE/.ipynb_checkpoints/Recursion Problem 3 - Fibonacci Sequence-checkpoint.ipynb	
+++ b/05-Recursion/Recursion Interview Problems/Recursion Problems - PRACTICE/03-Fibonacci Sequence.ipynb	
@@ -41,7 +41,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -55,7 +55,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [
     {
@@ -64,7 +64,7 @@
        "55"
       ]
      },
-     "execution_count": 9,
+     "execution_count": 2,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -84,7 +84,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [
     {
@@ -114,7 +114,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [
     {
@@ -123,7 +123,7 @@
        "55"
       ]
      },
-     "execution_count": 20,
+     "execution_count": 4,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -143,23 +143,25 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 46,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [],
    "source": [
     "def fib_iter(n):\n",
-    "    fib_2=fib_1=1\n",
-    "    for i in range(n-2):\n",
-    "        fib = fib_2+fib_1\n",
-    "        fib_2 = fib_1\n",
-    "        fib_1 = fib\n",
-    "    return fib_1\n",
-    "    pass"
+    "    \n",
+    "    # Set starting point\n",
+    "    a = 0\n",
+    "    b = 1\n",
+    "    \n",
+    "    # Follow algorithm\n",
+    "    for i in range(n):\n",
+    "        a, b = b, a + b\n",
+    "    return a"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 47,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [
     {
@@ -168,7 +170,7 @@
        "28657"
       ]
      },
-     "execution_count": 47,
+     "execution_count": 6,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -188,7 +190,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 48,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [
     {
@@ -248,7 +250,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.2"
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
diff --git a/Recursion/Recursion Interview Problems/Recursion Problems/.ipynb_checkpoints/Recursion Problem 4 - Coin Change-checkpoint.ipynb b/05-Recursion/Recursion Interview Problems/Recursion Problems - PRACTICE/04-Coin Change.ipynb
similarity index 78%
rename from Recursion/Recursion Interview Problems/Recursion Problems/.ipynb_checkpoints/Recursion Problem 4 - Coin Change-checkpoint.ipynb
rename to 05-Recursion/Recursion Interview Problems/Recursion Problems - PRACTICE/04-Coin Change.ipynb
index f8785dfb..39cdb3f5 100644
--- a/Recursion/Recursion Interview Problems/Recursion Problems/.ipynb_checkpoints/Recursion Problem 4 - Coin Change-checkpoint.ipynb	
+++ b/05-Recursion/Recursion Interview Problems/Recursion Problems - PRACTICE/04-Coin Change.ipynb	
@@ -39,37 +39,39 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": null,
+   "metadata": {},
    "outputs": [],
    "source": [
     "def rec_coin(target,coins):\n",
+    "    min_coins = target\n",
     "    \n",
+    "    if target in coins:\n",
+    "        return 1\n",
+    "    else:\n",
+    "        for value in [ c for c in coins if c<= target]:\n",
+    "            num_coins = rec_coin(target-value, coins) + 1\n",
+    "            min_coins = min(num_coins, min_coins)\n",
+    "    return min_coins\n",
     "    pass"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "2"
-      ]
-     },
-     "execution_count": 3,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
    "source": [
-    "rec_coin(10,[1,5])"
+    "rec_coin(10,[1,5]) #2"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "rec_coin(63,[1,5,10,25])"
    ]
   },
   {
@@ -86,9 +88,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "\"\"\"\n",
@@ -106,7 +106,7 @@
     "        assert_equal(solution(45,coins),3)\n",
     "        assert_equal(solution(23,coins),5)\n",
     "        assert_equal(solution(74,coins),8)\n",
-    "        print 'Passed all tests.'\n",
+    "        print ('Passed all tests.')\n",
     "# Run Test\n",
     "\n",
     "test = TestCoins()\n",
@@ -125,23 +125,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.10"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Recursion/Recursion Interview Problems/Recursion Problems/Recursion Problem 1 - Reverse String .ipynb b/05-Recursion/Recursion Interview Problems/Recursion Problems/.ipynb_checkpoints/01-Reverse String -checkpoint.ipynb
similarity index 88%
rename from Recursion/Recursion Interview Problems/Recursion Problems/Recursion Problem 1 - Reverse String .ipynb
rename to 05-Recursion/Recursion Interview Problems/Recursion Problems/.ipynb_checkpoints/01-Reverse String -checkpoint.ipynb
index 4d4308f6..dad38cbb 100644
--- a/Recursion/Recursion Interview Problems/Recursion Problems/Recursion Problem 1 - Reverse String .ipynb	
+++ b/05-Recursion/Recursion Interview Problems/Recursion Problems/.ipynb_checkpoints/01-Reverse String -checkpoint.ipynb	
@@ -18,9 +18,7 @@
   {
    "cell_type": "code",
    "execution_count": 7,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "def reverse(s):\n",
@@ -31,9 +29,7 @@
   {
    "cell_type": "code",
    "execution_count": 10,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -68,9 +64,7 @@
   {
    "cell_type": "code",
    "execution_count": 13,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -94,7 +88,7 @@
     "        assert_equal(solution('hello world'),'dlrow olleh')\n",
     "        assert_equal(solution('123456789'),'987654321')\n",
     "        \n",
-    "        print 'PASSED ALL TEST CASES!'\n",
+    "        print('PASSED ALL TEST CASES!')\n",
     "        \n",
     "# Run Tests\n",
     "test = TestReverse()\n",
@@ -111,23 +105,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.10"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Recursion/Recursion Interview Problems/Recursion Problems - PRACTICE/.ipynb_checkpoints/Recursion Problem 2 - String Permutation-checkpoint.ipynb b/05-Recursion/Recursion Interview Problems/Recursion Problems/.ipynb_checkpoints/02-String Permutation-checkpoint.ipynb
similarity index 89%
rename from Recursion/Recursion Interview Problems/Recursion Problems - PRACTICE/.ipynb_checkpoints/Recursion Problem 2 - String Permutation-checkpoint.ipynb
rename to 05-Recursion/Recursion Interview Problems/Recursion Problems/.ipynb_checkpoints/02-String Permutation-checkpoint.ipynb
index e2585c12..b8548e71 100644
--- a/Recursion/Recursion Interview Problems/Recursion Problems - PRACTICE/.ipynb_checkpoints/Recursion Problem 2 - String Permutation-checkpoint.ipynb	
+++ b/05-Recursion/Recursion Interview Problems/Recursion Problems/.ipynb_checkpoints/02-String Permutation-checkpoint.ipynb	
@@ -38,9 +38,7 @@
   {
    "cell_type": "code",
    "execution_count": 24,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -68,9 +66,7 @@
   {
    "cell_type": "code",
    "execution_count": 25,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -94,7 +90,7 @@
     "        assert_equal(sorted(solution('abc')),sorted(['abc', 'acb', 'bac', 'bca', 'cab', 'cba']))\n",
     "        assert_equal(sorted(solution('dog')),sorted(['dog', 'dgo', 'odg', 'ogd', 'gdo', 'god']) )\n",
     "        \n",
-    "        print 'All test cases passed.'\n",
+    "        print('All test cases passed.')\n",
     "        \n",
     "\n",
     "\n",
@@ -113,23 +109,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.10"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Recursion/Recursion Interview Problems/Recursion Problems/.ipynb_checkpoints/Recursion Problem 3 - Fibonacci Sequence-checkpoint.ipynb b/05-Recursion/Recursion Interview Problems/Recursion Problems/.ipynb_checkpoints/03-Fibonacci Sequence-checkpoint.ipynb
similarity index 91%
rename from Recursion/Recursion Interview Problems/Recursion Problems/.ipynb_checkpoints/Recursion Problem 3 - Fibonacci Sequence-checkpoint.ipynb
rename to 05-Recursion/Recursion Interview Problems/Recursion Problems/.ipynb_checkpoints/03-Fibonacci Sequence-checkpoint.ipynb
index e85c24d0..d946ac97 100644
--- a/Recursion/Recursion Interview Problems/Recursion Problems/.ipynb_checkpoints/Recursion Problem 3 - Fibonacci Sequence-checkpoint.ipynb	
+++ b/05-Recursion/Recursion Interview Problems/Recursion Problems/.ipynb_checkpoints/03-Fibonacci Sequence-checkpoint.ipynb	
@@ -42,9 +42,7 @@
   {
    "cell_type": "code",
    "execution_count": 2,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "def fib_rec(n):\n",
@@ -55,9 +53,7 @@
   {
    "cell_type": "code",
    "execution_count": 6,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -86,9 +82,7 @@
   {
    "cell_type": "code",
    "execution_count": 8,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "# Instantiate Cache information\n",
@@ -104,9 +98,7 @@
   {
    "cell_type": "code",
    "execution_count": 9,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -148,9 +140,7 @@
   {
    "cell_type": "code",
    "execution_count": 14,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -179,9 +169,7 @@
   {
    "cell_type": "code",
    "execution_count": 19,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -205,7 +193,7 @@
     "        assert_equal(solution(10),55)\n",
     "        assert_equal(solution(1),1)\n",
     "        assert_equal(solution(23),28657)\n",
-    "        print 'Passed all tests.'\n",
+    "        print('Passed all tests.')\n",
     "# UNCOMMENT FOR CORRESPONDING FUNCTION\n",
     "t = TestFib()\n",
     "\n",
@@ -226,23 +214,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.10"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Recursion/Recursion Interview Problems/Recursion Problems/Recursion Problem 4 - Coin Change.ipynb b/05-Recursion/Recursion Interview Problems/Recursion Problems/.ipynb_checkpoints/04-Coin Change-checkpoint.ipynb
similarity index 92%
rename from Recursion/Recursion Interview Problems/Recursion Problems/Recursion Problem 4 - Coin Change.ipynb
rename to 05-Recursion/Recursion Interview Problems/Recursion Problems/.ipynb_checkpoints/04-Coin Change-checkpoint.ipynb
index f8785dfb..29ed5698 100644
--- a/Recursion/Recursion Interview Problems/Recursion Problems/Recursion Problem 4 - Coin Change.ipynb	
+++ b/05-Recursion/Recursion Interview Problems/Recursion Problems/.ipynb_checkpoints/04-Coin Change-checkpoint.ipynb	
@@ -53,9 +53,7 @@
   {
    "cell_type": "code",
    "execution_count": 3,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -86,9 +84,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "\"\"\"\n",
@@ -106,7 +102,7 @@
     "        assert_equal(solution(45,coins),3)\n",
     "        assert_equal(solution(23,coins),5)\n",
     "        assert_equal(solution(74,coins),8)\n",
-    "        print 'Passed all tests.'\n",
+    "        print('Passed all tests.')\n",
     "# Run Test\n",
     "\n",
     "test = TestCoins()\n",
@@ -125,23 +121,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.10"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Recursion/Recursion Interview Problems/Recursion Problems/.ipynb_checkpoints/Recursion Problem 2 - String Permutations-checkpoint.ipynb b/05-Recursion/Recursion Interview Problems/Recursion Problems/.ipynb_checkpoints/Recursion Problem 2 - String Permutations-checkpoint.ipynb
similarity index 100%
rename from Recursion/Recursion Interview Problems/Recursion Problems/.ipynb_checkpoints/Recursion Problem 2 - String Permutations-checkpoint.ipynb
rename to 05-Recursion/Recursion Interview Problems/Recursion Problems/.ipynb_checkpoints/Recursion Problem 2 - String Permutations-checkpoint.ipynb
diff --git a/Recursion/Recursion Interview Problems/Recursion Problems/.ipynb_checkpoints/Recursion Problem 1 - Reverse String -checkpoint.ipynb b/05-Recursion/Recursion Interview Problems/Recursion Problems/01-Reverse String .ipynb
similarity index 88%
rename from Recursion/Recursion Interview Problems/Recursion Problems/.ipynb_checkpoints/Recursion Problem 1 - Reverse String -checkpoint.ipynb
rename to 05-Recursion/Recursion Interview Problems/Recursion Problems/01-Reverse String .ipynb
index 4d4308f6..dad38cbb 100644
--- a/Recursion/Recursion Interview Problems/Recursion Problems/.ipynb_checkpoints/Recursion Problem 1 - Reverse String -checkpoint.ipynb	
+++ b/05-Recursion/Recursion Interview Problems/Recursion Problems/01-Reverse String .ipynb	
@@ -18,9 +18,7 @@
   {
    "cell_type": "code",
    "execution_count": 7,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "def reverse(s):\n",
@@ -31,9 +29,7 @@
   {
    "cell_type": "code",
    "execution_count": 10,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -68,9 +64,7 @@
   {
    "cell_type": "code",
    "execution_count": 13,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -94,7 +88,7 @@
     "        assert_equal(solution('hello world'),'dlrow olleh')\n",
     "        assert_equal(solution('123456789'),'987654321')\n",
     "        \n",
-    "        print 'PASSED ALL TEST CASES!'\n",
+    "        print('PASSED ALL TEST CASES!')\n",
     "        \n",
     "# Run Tests\n",
     "test = TestReverse()\n",
@@ -111,23 +105,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.10"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Recursion/Recursion Interview Problems/Recursion Problems/.ipynb_checkpoints/Recursion Problem 2 - String Permutation-checkpoint.ipynb b/05-Recursion/Recursion Interview Problems/Recursion Problems/02-String Permutation.ipynb
similarity index 89%
rename from Recursion/Recursion Interview Problems/Recursion Problems/.ipynb_checkpoints/Recursion Problem 2 - String Permutation-checkpoint.ipynb
rename to 05-Recursion/Recursion Interview Problems/Recursion Problems/02-String Permutation.ipynb
index e2585c12..b8548e71 100644
--- a/Recursion/Recursion Interview Problems/Recursion Problems/.ipynb_checkpoints/Recursion Problem 2 - String Permutation-checkpoint.ipynb	
+++ b/05-Recursion/Recursion Interview Problems/Recursion Problems/02-String Permutation.ipynb	
@@ -38,9 +38,7 @@
   {
    "cell_type": "code",
    "execution_count": 24,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -68,9 +66,7 @@
   {
    "cell_type": "code",
    "execution_count": 25,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -94,7 +90,7 @@
     "        assert_equal(sorted(solution('abc')),sorted(['abc', 'acb', 'bac', 'bca', 'cab', 'cba']))\n",
     "        assert_equal(sorted(solution('dog')),sorted(['dog', 'dgo', 'odg', 'ogd', 'gdo', 'god']) )\n",
     "        \n",
-    "        print 'All test cases passed.'\n",
+    "        print('All test cases passed.')\n",
     "        \n",
     "\n",
     "\n",
@@ -113,23 +109,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.10"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Recursion/Recursion Interview Problems/Recursion Problems/Recursion Problem 3 - Fibonacci Sequence.ipynb b/05-Recursion/Recursion Interview Problems/Recursion Problems/03-Fibonacci Sequence.ipynb
similarity index 91%
rename from Recursion/Recursion Interview Problems/Recursion Problems/Recursion Problem 3 - Fibonacci Sequence.ipynb
rename to 05-Recursion/Recursion Interview Problems/Recursion Problems/03-Fibonacci Sequence.ipynb
index e85c24d0..d946ac97 100644
--- a/Recursion/Recursion Interview Problems/Recursion Problems/Recursion Problem 3 - Fibonacci Sequence.ipynb	
+++ b/05-Recursion/Recursion Interview Problems/Recursion Problems/03-Fibonacci Sequence.ipynb	
@@ -42,9 +42,7 @@
   {
    "cell_type": "code",
    "execution_count": 2,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "def fib_rec(n):\n",
@@ -55,9 +53,7 @@
   {
    "cell_type": "code",
    "execution_count": 6,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -86,9 +82,7 @@
   {
    "cell_type": "code",
    "execution_count": 8,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "# Instantiate Cache information\n",
@@ -104,9 +98,7 @@
   {
    "cell_type": "code",
    "execution_count": 9,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -148,9 +140,7 @@
   {
    "cell_type": "code",
    "execution_count": 14,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -179,9 +169,7 @@
   {
    "cell_type": "code",
    "execution_count": 19,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -205,7 +193,7 @@
     "        assert_equal(solution(10),55)\n",
     "        assert_equal(solution(1),1)\n",
     "        assert_equal(solution(23),28657)\n",
-    "        print 'Passed all tests.'\n",
+    "        print('Passed all tests.')\n",
     "# UNCOMMENT FOR CORRESPONDING FUNCTION\n",
     "t = TestFib()\n",
     "\n",
@@ -226,23 +214,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.10"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Recursion/Recursion Interview Problems/Recursion Problems - PRACTICE/.ipynb_checkpoints/Recursion Problem 4 - Coin Change-checkpoint.ipynb b/05-Recursion/Recursion Interview Problems/Recursion Problems/04-Coin Change.ipynb
similarity index 92%
rename from Recursion/Recursion Interview Problems/Recursion Problems - PRACTICE/.ipynb_checkpoints/Recursion Problem 4 - Coin Change-checkpoint.ipynb
rename to 05-Recursion/Recursion Interview Problems/Recursion Problems/04-Coin Change.ipynb
index f8785dfb..29ed5698 100644
--- a/Recursion/Recursion Interview Problems/Recursion Problems - PRACTICE/.ipynb_checkpoints/Recursion Problem 4 - Coin Change-checkpoint.ipynb	
+++ b/05-Recursion/Recursion Interview Problems/Recursion Problems/04-Coin Change.ipynb	
@@ -53,9 +53,7 @@
   {
    "cell_type": "code",
    "execution_count": 3,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -86,9 +84,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "\"\"\"\n",
@@ -106,7 +102,7 @@
     "        assert_equal(solution(45,coins),3)\n",
     "        assert_equal(solution(23,coins),5)\n",
     "        assert_equal(solution(74,coins),8)\n",
-    "        print 'Passed all tests.'\n",
+    "        print('Passed all tests.')\n",
     "# Run Test\n",
     "\n",
     "test = TestCoins()\n",
@@ -125,23 +121,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.10"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Trees/Tree Representation Implementation (Lists).ipynb b/06-Trees/.ipynb_checkpoints/01-Tree Representation Implementation (Lists)-checkpoint.ipynb
similarity index 87%
rename from Trees/Tree Representation Implementation (Lists).ipynb
rename to 06-Trees/.ipynb_checkpoints/01-Tree Representation Implementation (Lists)-checkpoint.ipynb
index ad33ac3f..fd7e466e 100644
--- a/Trees/Tree Representation Implementation (Lists).ipynb	
+++ b/06-Trees/.ipynb_checkpoints/01-Tree Representation Implementation (Lists)-checkpoint.ipynb	
@@ -11,10 +11,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 1,
+   "metadata": {},
    "outputs": [],
    "source": [
     "def BinaryTree(r):\n",
@@ -52,23 +50,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.11"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Trees/.ipynb_checkpoints/Tree Representation Implementation (Nodes and References)-checkpoint.ipynb b/06-Trees/.ipynb_checkpoints/02-Tree Representation Implementation (Nodes and References)-checkpoint.ipynb
similarity index 85%
rename from Trees/.ipynb_checkpoints/Tree Representation Implementation (Nodes and References)-checkpoint.ipynb
rename to 06-Trees/.ipynb_checkpoints/02-Tree Representation Implementation (Nodes and References)-checkpoint.ipynb
index 5ca824e2..dc3df223 100644
--- a/Trees/.ipynb_checkpoints/Tree Representation Implementation (Nodes and References)-checkpoint.ipynb	
+++ b/06-Trees/.ipynb_checkpoints/02-Tree Representation Implementation (Nodes and References)-checkpoint.ipynb	
@@ -11,10 +11,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 1,
+   "metadata": {},
    "outputs": [],
    "source": [
     "class BinaryTree(object):\n",
@@ -62,10 +60,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 35,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 3,
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -73,17 +69,15 @@
      "text": [
       "a\n",
       "None\n",
-      "<__main__.BinaryTree object at 0x104779c10>\n",
+      "<__main__.BinaryTree object at 0x7f7c951d7340>\n",
       "b\n",
-      "<__main__.BinaryTree object at 0x103b42c50>\n",
+      "<__main__.BinaryTree object at 0x7f7c951d7370>\n",
       "c\n",
       "hello\n"
      ]
     }
    ],
    "source": [
-    "from __future__ import print_function\n",
-    "\n",
     "r = BinaryTree('a')\n",
     "print(r.getRootVal())\n",
     "print(r.getLeftChild())\n",
@@ -100,23 +94,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.11"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Trees/Binary Heap Implementation.ipynb b/06-Trees/.ipynb_checkpoints/03-Binary Heap Implementation-checkpoint.ipynb
similarity index 91%
rename from Trees/Binary Heap Implementation.ipynb
rename to 06-Trees/.ipynb_checkpoints/03-Binary Heap Implementation-checkpoint.ipynb
index e5630cee..80515f00 100644
--- a/Trees/Binary Heap Implementation.ipynb	
+++ b/06-Trees/.ipynb_checkpoints/03-Binary Heap Implementation-checkpoint.ipynb	
@@ -28,9 +28,7 @@
   {
    "cell_type": "code",
    "execution_count": 1,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "class BinHeap:\n",
@@ -97,36 +95,27 @@
     "            self.percDown(i)\n",
     "            i = i - 1"
    ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": []
   }
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.11"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Trees/.ipynb_checkpoints/Binary Search Trees-checkpoint.ipynb b/06-Trees/.ipynb_checkpoints/04-Binary Search Trees-checkpoint.ipynb
similarity index 97%
rename from Trees/.ipynb_checkpoints/Binary Search Trees-checkpoint.ipynb
rename to 06-Trees/.ipynb_checkpoints/04-Binary Search Trees-checkpoint.ipynb
index c6679bb0..a31c8826 100644
--- a/Trees/.ipynb_checkpoints/Binary Search Trees-checkpoint.ipynb	
+++ b/06-Trees/.ipynb_checkpoints/04-Binary Search Trees-checkpoint.ipynb	
@@ -16,10 +16,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 1,
+   "metadata": {},
    "outputs": [],
    "source": [
     "class TreeNode:\n",
@@ -248,10 +246,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 2,
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -283,23 +279,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.11"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Trees/.ipynb_checkpoints/Tree Representation Implementation (Lists)-checkpoint.ipynb b/06-Trees/01-Tree Representation Implementation (Lists).ipynb
similarity index 87%
rename from Trees/.ipynb_checkpoints/Tree Representation Implementation (Lists)-checkpoint.ipynb
rename to 06-Trees/01-Tree Representation Implementation (Lists).ipynb
index ad33ac3f..fd7e466e 100644
--- a/Trees/.ipynb_checkpoints/Tree Representation Implementation (Lists)-checkpoint.ipynb	
+++ b/06-Trees/01-Tree Representation Implementation (Lists).ipynb	
@@ -11,10 +11,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 1,
+   "metadata": {},
    "outputs": [],
    "source": [
     "def BinaryTree(r):\n",
@@ -52,23 +50,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.11"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Trees/Tree Representation Implementation (Nodes and References).ipynb b/06-Trees/02-Tree Representation Implementation (Nodes and References).ipynb
similarity index 85%
rename from Trees/Tree Representation Implementation (Nodes and References).ipynb
rename to 06-Trees/02-Tree Representation Implementation (Nodes and References).ipynb
index 5ca824e2..dc3df223 100644
--- a/Trees/Tree Representation Implementation (Nodes and References).ipynb	
+++ b/06-Trees/02-Tree Representation Implementation (Nodes and References).ipynb	
@@ -11,10 +11,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 1,
+   "metadata": {},
    "outputs": [],
    "source": [
     "class BinaryTree(object):\n",
@@ -62,10 +60,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 35,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 3,
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -73,17 +69,15 @@
      "text": [
       "a\n",
       "None\n",
-      "<__main__.BinaryTree object at 0x104779c10>\n",
+      "<__main__.BinaryTree object at 0x7f7c951d7340>\n",
       "b\n",
-      "<__main__.BinaryTree object at 0x103b42c50>\n",
+      "<__main__.BinaryTree object at 0x7f7c951d7370>\n",
       "c\n",
       "hello\n"
      ]
     }
    ],
    "source": [
-    "from __future__ import print_function\n",
-    "\n",
     "r = BinaryTree('a')\n",
     "print(r.getRootVal())\n",
     "print(r.getLeftChild())\n",
@@ -100,23 +94,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.11"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Trees/.ipynb_checkpoints/Binary Heap Implementation-checkpoint.ipynb b/06-Trees/03-Binary Heap Implementation.ipynb
similarity index 91%
rename from Trees/.ipynb_checkpoints/Binary Heap Implementation-checkpoint.ipynb
rename to 06-Trees/03-Binary Heap Implementation.ipynb
index e5630cee..80515f00 100644
--- a/Trees/.ipynb_checkpoints/Binary Heap Implementation-checkpoint.ipynb	
+++ b/06-Trees/03-Binary Heap Implementation.ipynb	
@@ -28,9 +28,7 @@
   {
    "cell_type": "code",
    "execution_count": 1,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "class BinHeap:\n",
@@ -97,36 +95,27 @@
     "            self.percDown(i)\n",
     "            i = i - 1"
    ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": []
   }
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.11"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Trees/Binary Search Trees.ipynb b/06-Trees/04-Binary Search Trees.ipynb
similarity index 97%
rename from Trees/Binary Search Trees.ipynb
rename to 06-Trees/04-Binary Search Trees.ipynb
index c6679bb0..a31c8826 100644
--- a/Trees/Binary Search Trees.ipynb	
+++ b/06-Trees/04-Binary Search Trees.ipynb	
@@ -16,10 +16,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 1,
+   "metadata": {},
    "outputs": [],
    "source": [
     "class TreeNode:\n",
@@ -248,10 +246,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 2,
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -283,23 +279,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.11"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Trees/Trees Interview Problems - PRACTICE/Binary Search Tree Check.ipynb b/06-Trees/Trees Interview Problems - PRACTICE/.ipynb_checkpoints/01-Binary Search Tree Check-checkpoint.ipynb
similarity index 96%
rename from Trees/Trees Interview Problems - PRACTICE/Binary Search Tree Check.ipynb
rename to 06-Trees/Trees Interview Problems - PRACTICE/.ipynb_checkpoints/01-Binary Search Tree Check-checkpoint.ipynb
index a97a2c8b..4653973f 100644
--- a/Trees/Trees Interview Problems - PRACTICE/Binary Search Tree Check.ipynb	
+++ b/06-Trees/Trees Interview Problems - PRACTICE/.ipynb_checkpoints/01-Binary Search Tree Check-checkpoint.ipynb	
@@ -19,7 +19,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -33,7 +33,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -74,7 +74,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.2"
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
diff --git a/Trees/Trees Interview Problems - PRACTICE/Tree Level Order Print.ipynb b/06-Trees/Trees Interview Problems - PRACTICE/.ipynb_checkpoints/02-Tree Level Order Print-checkpoint.ipynb
similarity index 97%
rename from Trees/Trees Interview Problems - PRACTICE/Tree Level Order Print.ipynb
rename to 06-Trees/Trees Interview Problems - PRACTICE/.ipynb_checkpoints/02-Tree Level Order Print-checkpoint.ipynb
index b1e45bd2..a85dd6a6 100644
--- a/Trees/Trees Interview Problems - PRACTICE/Tree Level Order Print.ipynb	
+++ b/06-Trees/Trees Interview Problems - PRACTICE/.ipynb_checkpoints/02-Tree Level Order Print-checkpoint.ipynb	
@@ -41,7 +41,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -66,7 +66,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [
     {
@@ -111,7 +111,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.2"
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
diff --git a/Trees/Trees Interview Problems - PRACTICE/.ipynb_checkpoints/Trim a Binary Search Tree -checkpoint.ipynb b/06-Trees/Trees Interview Problems - PRACTICE/.ipynb_checkpoints/03-Trim a Binary Search Tree -checkpoint.ipynb
similarity index 99%
rename from Trees/Trees Interview Problems - PRACTICE/.ipynb_checkpoints/Trim a Binary Search Tree -checkpoint.ipynb
rename to 06-Trees/Trees Interview Problems - PRACTICE/.ipynb_checkpoints/03-Trim a Binary Search Tree -checkpoint.ipynb
index 1b7bf768..d3f5b43d 100644
--- a/Trees/Trees Interview Problems - PRACTICE/.ipynb_checkpoints/Trim a Binary Search Tree -checkpoint.ipynb	
+++ b/06-Trees/Trees Interview Problems - PRACTICE/.ipynb_checkpoints/03-Trim a Binary Search Tree -checkpoint.ipynb	
@@ -75,7 +75,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.2"
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
diff --git a/Trees/Trees Interview Problems - PRACTICE/.ipynb_checkpoints/Binary Search Tree Check-checkpoint.ipynb b/06-Trees/Trees Interview Problems - PRACTICE/01-Binary Search Tree Check.ipynb
similarity index 96%
rename from Trees/Trees Interview Problems - PRACTICE/.ipynb_checkpoints/Binary Search Tree Check-checkpoint.ipynb
rename to 06-Trees/Trees Interview Problems - PRACTICE/01-Binary Search Tree Check.ipynb
index a97a2c8b..4653973f 100644
--- a/Trees/Trees Interview Problems - PRACTICE/.ipynb_checkpoints/Binary Search Tree Check-checkpoint.ipynb	
+++ b/06-Trees/Trees Interview Problems - PRACTICE/01-Binary Search Tree Check.ipynb	
@@ -19,7 +19,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -33,7 +33,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -74,7 +74,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.2"
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
diff --git a/Trees/Trees Interview Problems - PRACTICE/.ipynb_checkpoints/Tree Level Order Print-checkpoint.ipynb b/06-Trees/Trees Interview Problems - PRACTICE/02-Tree Level Order Print.ipynb
similarity index 97%
rename from Trees/Trees Interview Problems - PRACTICE/.ipynb_checkpoints/Tree Level Order Print-checkpoint.ipynb
rename to 06-Trees/Trees Interview Problems - PRACTICE/02-Tree Level Order Print.ipynb
index b1e45bd2..a85dd6a6 100644
--- a/Trees/Trees Interview Problems - PRACTICE/.ipynb_checkpoints/Tree Level Order Print-checkpoint.ipynb	
+++ b/06-Trees/Trees Interview Problems - PRACTICE/02-Tree Level Order Print.ipynb	
@@ -41,7 +41,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -66,7 +66,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [
     {
@@ -111,7 +111,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.2"
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
diff --git a/Trees/Trees Interview Problems - PRACTICE/Trim a Binary Search Tree .ipynb b/06-Trees/Trees Interview Problems - PRACTICE/03-Trim a Binary Search Tree .ipynb
similarity index 99%
rename from Trees/Trees Interview Problems - PRACTICE/Trim a Binary Search Tree .ipynb
rename to 06-Trees/Trees Interview Problems - PRACTICE/03-Trim a Binary Search Tree .ipynb
index 1b7bf768..d3f5b43d 100644
--- a/Trees/Trees Interview Problems - PRACTICE/Trim a Binary Search Tree .ipynb	
+++ b/06-Trees/Trees Interview Problems - PRACTICE/03-Trim a Binary Search Tree .ipynb	
@@ -75,7 +75,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.2"
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
diff --git a/Trees/Trees Interview Problems - PRACTICE/Node.py b/06-Trees/Trees Interview Problems - PRACTICE/Node.py
similarity index 100%
rename from Trees/Trees Interview Problems - PRACTICE/Node.py
rename to 06-Trees/Trees Interview Problems - PRACTICE/Node.py
diff --git a/Trees/Trees Interview Problems - PRACTICE/bst1.png b/06-Trees/Trees Interview Problems - PRACTICE/bst1.png
similarity index 100%
rename from Trees/Trees Interview Problems - PRACTICE/bst1.png
rename to 06-Trees/Trees Interview Problems - PRACTICE/bst1.png
diff --git a/Trees/Trees Interview Problems - PRACTICE/bst_trim.png b/06-Trees/Trees Interview Problems - PRACTICE/bst_trim.png
similarity index 100%
rename from Trees/Trees Interview Problems - PRACTICE/bst_trim.png
rename to 06-Trees/Trees Interview Problems - PRACTICE/bst_trim.png
diff --git a/Trees/Trees Interview Problems - PRACTICE/tree_print.png b/06-Trees/Trees Interview Problems - PRACTICE/tree_print.png
similarity index 100%
rename from Trees/Trees Interview Problems - PRACTICE/tree_print.png
rename to 06-Trees/Trees Interview Problems - PRACTICE/tree_print.png
diff --git a/Trees/Trees Interview Problems - SOLUTIONS/.ipynb_checkpoints/Binary Search Tree Check - SOLUTION-checkpoint.ipynb b/06-Trees/Trees Interview Problems - SOLUTIONS/.ipynb_checkpoints/01-Binary Search Tree Check - SOLUTION-checkpoint.ipynb
similarity index 74%
rename from Trees/Trees Interview Problems - SOLUTIONS/.ipynb_checkpoints/Binary Search Tree Check - SOLUTION-checkpoint.ipynb
rename to 06-Trees/Trees Interview Problems - SOLUTIONS/.ipynb_checkpoints/01-Binary Search Tree Check - SOLUTION-checkpoint.ipynb
index 1ac09210..12b720fc 100644
--- a/Trees/Trees Interview Problems - SOLUTIONS/.ipynb_checkpoints/Binary Search Tree Check - SOLUTION-checkpoint.ipynb	
+++ b/06-Trees/Trees Interview Problems - SOLUTIONS/.ipynb_checkpoints/01-Binary Search Tree Check - SOLUTION-checkpoint.ipynb	
@@ -19,16 +19,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 3,
+   "metadata": {},
    "outputs": [
     {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "True\n"
+     "ename": "NameError",
+     "evalue": "name 'tree' is not defined",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
+      "\u001b[0;32m<ipython-input-3-a22266754f2e>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m     10\u001b[0m     \u001b[0;32mreturn\u001b[0m \u001b[0mtree_vals\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0msorted\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtree_vals\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     11\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 12\u001b[0;31m \u001b[0minorder\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtree\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     13\u001b[0m \u001b[0msort_check\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtree_vals\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;31mNameError\u001b[0m: name 'tree' is not defined"
      ]
     }
    ],
@@ -57,10 +59,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 2,
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -133,23 +133,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.11"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Trees/Trees Interview Problems - SOLUTIONS/Tree Level Order Print - SOLUTION.ipynb b/06-Trees/Trees Interview Problems - SOLUTIONS/.ipynb_checkpoints/02-Tree Level Order Print - SOLUTION-checkpoint.ipynb
similarity index 94%
rename from Trees/Trees Interview Problems - SOLUTIONS/Tree Level Order Print - SOLUTION.ipynb
rename to 06-Trees/Trees Interview Problems - SOLUTIONS/.ipynb_checkpoints/02-Tree Level Order Print - SOLUTION-checkpoint.ipynb
index 9b0ec477..bada18d3 100644
--- a/Trees/Trees Interview Problems - SOLUTIONS/Tree Level Order Print - SOLUTION.ipynb	
+++ b/06-Trees/Trees Interview Problems - SOLUTIONS/.ipynb_checkpoints/02-Tree Level Order Print - SOLUTION-checkpoint.ipynb	
@@ -30,10 +30,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 5,
+   "metadata": {},
    "outputs": [],
    "source": [
     "class Node:\n",
@@ -45,10 +43,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 6,
+   "metadata": {},
    "outputs": [],
    "source": [
     "def levelOrderPrint(tree):\n",
@@ -59,7 +55,7 @@
     "    while len(nodes)!=0:\n",
     "        currentNode=nodes.popleft()\n",
     "        currentCount-=1\n",
-    "        print currentNode.val,\n",
+    "        print(currentNode.val,)\n",
     "        if currentNode.left:\n",
     "            nodes.append(currentNode.left)\n",
     "            nextCount+=1\n",
@@ -68,7 +64,7 @@
     "            nextCount+=1\n",
     "        if currentCount==0:\n",
     "            #finished printing current level\n",
-    "            print '\\n',\n",
+    "            print('\\n',)\n",
     "            currentCount, nextCount = nextCount, currentCount"
    ]
   },
@@ -105,7 +101,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.2"
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
diff --git a/Trees/Trees Interview Problems - SOLUTIONS/Trim a Binary Search Tree - SOLUTION.ipynb b/06-Trees/Trees Interview Problems - SOLUTIONS/.ipynb_checkpoints/03Trim a Binary Search Tree - SOLUTION-checkpoint.ipynb
similarity index 97%
rename from Trees/Trees Interview Problems - SOLUTIONS/Trim a Binary Search Tree - SOLUTION.ipynb
rename to 06-Trees/Trees Interview Problems - SOLUTIONS/.ipynb_checkpoints/03Trim a Binary Search Tree - SOLUTION-checkpoint.ipynb
index cb59ddc4..5ad75a29 100644
--- a/Trees/Trees Interview Problems - SOLUTIONS/Trim a Binary Search Tree - SOLUTION.ipynb	
+++ b/06-Trees/Trees Interview Problems - SOLUTIONS/.ipynb_checkpoints/03Trim a Binary Search Tree - SOLUTION-checkpoint.ipynb	
@@ -37,10 +37,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 1,
+   "metadata": {},
    "outputs": [],
    "source": [
     "def trimBST(tree, minVal, maxVal): \n",
@@ -92,7 +90,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.2"
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
diff --git a/Trees/Trees Interview Problems - SOLUTIONS/Binary Search Tree Check - SOLUTION.ipynb b/06-Trees/Trees Interview Problems - SOLUTIONS/01-Binary Search Tree Check - SOLUTION.ipynb
similarity index 74%
rename from Trees/Trees Interview Problems - SOLUTIONS/Binary Search Tree Check - SOLUTION.ipynb
rename to 06-Trees/Trees Interview Problems - SOLUTIONS/01-Binary Search Tree Check - SOLUTION.ipynb
index 1ac09210..12b720fc 100644
--- a/Trees/Trees Interview Problems - SOLUTIONS/Binary Search Tree Check - SOLUTION.ipynb	
+++ b/06-Trees/Trees Interview Problems - SOLUTIONS/01-Binary Search Tree Check - SOLUTION.ipynb	
@@ -19,16 +19,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 3,
+   "metadata": {},
    "outputs": [
     {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "True\n"
+     "ename": "NameError",
+     "evalue": "name 'tree' is not defined",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
+      "\u001b[0;32m<ipython-input-3-a22266754f2e>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m     10\u001b[0m     \u001b[0;32mreturn\u001b[0m \u001b[0mtree_vals\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0msorted\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtree_vals\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     11\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 12\u001b[0;31m \u001b[0minorder\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtree\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     13\u001b[0m \u001b[0msort_check\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtree_vals\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;31mNameError\u001b[0m: name 'tree' is not defined"
      ]
     }
    ],
@@ -57,10 +59,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 2,
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -133,23 +133,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.11"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Trees/Trees Interview Problems - SOLUTIONS/.ipynb_checkpoints/Tree Level Order Print - SOLUTION-checkpoint.ipynb b/06-Trees/Trees Interview Problems - SOLUTIONS/02-Tree Level Order Print - SOLUTION.ipynb
similarity index 91%
rename from Trees/Trees Interview Problems - SOLUTIONS/.ipynb_checkpoints/Tree Level Order Print - SOLUTION-checkpoint.ipynb
rename to 06-Trees/Trees Interview Problems - SOLUTIONS/02-Tree Level Order Print - SOLUTION.ipynb
index 015366eb..bada18d3 100644
--- a/Trees/Trees Interview Problems - SOLUTIONS/.ipynb_checkpoints/Tree Level Order Print - SOLUTION-checkpoint.ipynb	
+++ b/06-Trees/Trees Interview Problems - SOLUTIONS/02-Tree Level Order Print - SOLUTION.ipynb	
@@ -30,10 +30,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 5,
+   "metadata": {},
    "outputs": [],
    "source": [
     "class Node:\n",
@@ -45,10 +43,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 6,
+   "metadata": {},
    "outputs": [],
    "source": [
     "def levelOrderPrint(tree):\n",
@@ -59,7 +55,7 @@
     "    while len(nodes)!=0:\n",
     "        currentNode=nodes.popleft()\n",
     "        currentCount-=1\n",
-    "        print currentNode.val,\n",
+    "        print(currentNode.val,)\n",
     "        if currentNode.left:\n",
     "            nodes.append(currentNode.left)\n",
     "            nextCount+=1\n",
@@ -68,7 +64,7 @@
     "            nextCount+=1\n",
     "        if currentCount==0:\n",
     "            #finished printing current level\n",
-    "            print '\\n',\n",
+    "            print('\\n',)\n",
     "            currentCount, nextCount = nextCount, currentCount"
    ]
   },
@@ -91,23 +87,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.11"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Trees/Trees Interview Problems - SOLUTIONS/.ipynb_checkpoints/Trim a Binary Search Tree - SOLUTION-checkpoint.ipynb b/06-Trees/Trees Interview Problems - SOLUTIONS/03Trim a Binary Search Tree - SOLUTION.ipynb
similarity index 95%
rename from Trees/Trees Interview Problems - SOLUTIONS/.ipynb_checkpoints/Trim a Binary Search Tree - SOLUTION-checkpoint.ipynb
rename to 06-Trees/Trees Interview Problems - SOLUTIONS/03Trim a Binary Search Tree - SOLUTION.ipynb
index 36e4317d..5ad75a29 100644
--- a/Trees/Trees Interview Problems - SOLUTIONS/.ipynb_checkpoints/Trim a Binary Search Tree - SOLUTION-checkpoint.ipynb	
+++ b/06-Trees/Trees Interview Problems - SOLUTIONS/03Trim a Binary Search Tree - SOLUTION.ipynb	
@@ -37,10 +37,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 1,
+   "metadata": {},
    "outputs": [],
    "source": [
     "def trimBST(tree, minVal, maxVal): \n",
@@ -78,23 +76,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.11"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Trees/Trees Interview Problems - SOLUTIONS/bst1.png b/06-Trees/Trees Interview Problems - SOLUTIONS/bst1.png
similarity index 100%
rename from Trees/Trees Interview Problems - SOLUTIONS/bst1.png
rename to 06-Trees/Trees Interview Problems - SOLUTIONS/bst1.png
diff --git a/Trees/Trees Interview Problems - SOLUTIONS/bst_trim.png b/06-Trees/Trees Interview Problems - SOLUTIONS/bst_trim.png
similarity index 100%
rename from Trees/Trees Interview Problems - SOLUTIONS/bst_trim.png
rename to 06-Trees/Trees Interview Problems - SOLUTIONS/bst_trim.png
diff --git a/Trees/Trees Interview Problems - SOLUTIONS/tree_print.png b/06-Trees/Trees Interview Problems - SOLUTIONS/tree_print.png
similarity index 100%
rename from Trees/Trees Interview Problems - SOLUTIONS/tree_print.png
rename to 06-Trees/Trees Interview Problems - SOLUTIONS/tree_print.png
diff --git a/Trees/Trees Interview Problems/Binary Search Tree Check.ipynb b/06-Trees/Trees Interview Problems/.ipynb_checkpoints/01-Binary Search Tree Check-checkpoint.ipynb
similarity index 84%
rename from Trees/Trees Interview Problems/Binary Search Tree Check.ipynb
rename to 06-Trees/Trees Interview Problems/.ipynb_checkpoints/01-Binary Search Tree Check-checkpoint.ipynb
index 74a68fe1..d1ce2354 100644
--- a/Trees/Trees Interview Problems/Binary Search Tree Check.ipynb	
+++ b/06-Trees/Trees Interview Problems/.ipynb_checkpoints/01-Binary Search Tree Check-checkpoint.ipynb	
@@ -20,9 +20,7 @@
   {
    "cell_type": "code",
    "execution_count": 1,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "# Code goes Here"
@@ -38,23 +36,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.11"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Trees/Trees Interview Problems/Tree Level Order Print.ipynb b/06-Trees/Trees Interview Problems/.ipynb_checkpoints/02-Tree Level Order Print-checkpoint.ipynb
similarity index 90%
rename from Trees/Trees Interview Problems/Tree Level Order Print.ipynb
rename to 06-Trees/Trees Interview Problems/.ipynb_checkpoints/02-Tree Level Order Print-checkpoint.ipynb
index 7d44b4d9..62de6e6c 100644
--- a/Trees/Trees Interview Problems/Tree Level Order Print.ipynb	
+++ b/06-Trees/Trees Interview Problems/.ipynb_checkpoints/02-Tree Level Order Print-checkpoint.ipynb	
@@ -57,23 +57,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.11"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Trees/Trees Interview Problems/.ipynb_checkpoints/Trim a Binary Search Tree -checkpoint.ipynb b/06-Trees/Trees Interview Problems/.ipynb_checkpoints/03-Trim a Binary Search Tree -checkpoint.ipynb
similarity index 87%
rename from Trees/Trees Interview Problems/.ipynb_checkpoints/Trim a Binary Search Tree -checkpoint.ipynb
rename to 06-Trees/Trees Interview Problems/.ipynb_checkpoints/03-Trim a Binary Search Tree -checkpoint.ipynb
index b3aa23dd..85791572 100644
--- a/Trees/Trees Interview Problems/.ipynb_checkpoints/Trim a Binary Search Tree -checkpoint.ipynb	
+++ b/06-Trees/Trees Interview Problems/.ipynb_checkpoints/03-Trim a Binary Search Tree -checkpoint.ipynb	
@@ -33,9 +33,9 @@
    "source": [
     "def trimBST(tree,minVal,maxVal):\n",
     "    \n",
-    "    print tree.left # LeftChild\n",
-    "    print tree.right # Right Child\n",
-    "    print tree.val # Node's value\n",
+    "    print(tree.left) # LeftChild\n",
+    "    print(tree.right) # Right Child\n",
+    "    print(tree.val) # Node's value\n",
     "    \n",
     "    pass\n",
     "\n",
@@ -54,23 +54,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.11"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Trees/Trees Interview Problems/.ipynb_checkpoints/Binary Search Tree Check-checkpoint.ipynb b/06-Trees/Trees Interview Problems/01-Binary Search Tree Check.ipynb
similarity index 84%
rename from Trees/Trees Interview Problems/.ipynb_checkpoints/Binary Search Tree Check-checkpoint.ipynb
rename to 06-Trees/Trees Interview Problems/01-Binary Search Tree Check.ipynb
index 74a68fe1..d1ce2354 100644
--- a/Trees/Trees Interview Problems/.ipynb_checkpoints/Binary Search Tree Check-checkpoint.ipynb	
+++ b/06-Trees/Trees Interview Problems/01-Binary Search Tree Check.ipynb	
@@ -20,9 +20,7 @@
   {
    "cell_type": "code",
    "execution_count": 1,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "# Code goes Here"
@@ -38,23 +36,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.11"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Trees/Trees Interview Problems/.ipynb_checkpoints/Tree Level Order Print-checkpoint.ipynb b/06-Trees/Trees Interview Problems/02-Tree Level Order Print.ipynb
similarity index 90%
rename from Trees/Trees Interview Problems/.ipynb_checkpoints/Tree Level Order Print-checkpoint.ipynb
rename to 06-Trees/Trees Interview Problems/02-Tree Level Order Print.ipynb
index 7d44b4d9..62de6e6c 100644
--- a/Trees/Trees Interview Problems/.ipynb_checkpoints/Tree Level Order Print-checkpoint.ipynb	
+++ b/06-Trees/Trees Interview Problems/02-Tree Level Order Print.ipynb	
@@ -57,23 +57,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.11"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Trees/Trees Interview Problems/Trim a Binary Search Tree .ipynb b/06-Trees/Trees Interview Problems/03-Trim a Binary Search Tree .ipynb
similarity index 87%
rename from Trees/Trees Interview Problems/Trim a Binary Search Tree .ipynb
rename to 06-Trees/Trees Interview Problems/03-Trim a Binary Search Tree .ipynb
index b3aa23dd..85791572 100644
--- a/Trees/Trees Interview Problems/Trim a Binary Search Tree .ipynb	
+++ b/06-Trees/Trees Interview Problems/03-Trim a Binary Search Tree .ipynb	
@@ -33,9 +33,9 @@
    "source": [
     "def trimBST(tree,minVal,maxVal):\n",
     "    \n",
-    "    print tree.left # LeftChild\n",
-    "    print tree.right # Right Child\n",
-    "    print tree.val # Node's value\n",
+    "    print(tree.left) # LeftChild\n",
+    "    print(tree.right) # Right Child\n",
+    "    print(tree.val) # Node's value\n",
     "    \n",
     "    pass\n",
     "\n",
@@ -54,23 +54,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.11"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Trees/Trees Interview Problems/bst1.png b/06-Trees/Trees Interview Problems/bst1.png
similarity index 100%
rename from Trees/Trees Interview Problems/bst1.png
rename to 06-Trees/Trees Interview Problems/bst1.png
diff --git a/Trees/Trees Interview Problems/bst_trim.png b/06-Trees/Trees Interview Problems/bst_trim.png
similarity index 100%
rename from Trees/Trees Interview Problems/bst_trim.png
rename to 06-Trees/Trees Interview Problems/bst_trim.png
diff --git a/Trees/Trees Interview Problems/tree_print.png b/06-Trees/Trees Interview Problems/tree_print.png
similarity index 100%
rename from Trees/Trees Interview Problems/tree_print.png
rename to 06-Trees/Trees Interview Problems/tree_print.png
diff --git a/Sorting and Searching/.ipynb_checkpoints/Sequential Search-checkpoint.ipynb b/07-Searching and Sorting/.ipynb_checkpoints/01-Sequential Search-checkpoint.ipynb
similarity index 84%
rename from Sorting and Searching/.ipynb_checkpoints/Sequential Search-checkpoint.ipynb
rename to 07-Searching and Sorting/.ipynb_checkpoints/01-Sequential Search-checkpoint.ipynb
index f514dc75..2940779d 100644
--- a/Sorting and Searching/.ipynb_checkpoints/Sequential Search-checkpoint.ipynb	
+++ b/07-Searching and Sorting/.ipynb_checkpoints/01-Sequential Search-checkpoint.ipynb	
@@ -20,9 +20,7 @@
   {
    "cell_type": "code",
    "execution_count": 1,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "def seq_search(arr,ele):\n",
@@ -51,10 +49,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 2,
+   "metadata": {},
    "outputs": [],
    "source": [
     "arr = [1,9,2,8,3,4,7,5,6]"
@@ -62,10 +58,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 4,
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -76,15 +70,13 @@
     }
    ],
    "source": [
-    "print seq_search(arr,1)"
+    "print(seq_search(arr,1))"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 5,
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -95,7 +87,7 @@
     }
    ],
    "source": [
-    "print seq_search(arr,10)"
+    "print(seq_search(arr,10))"
    ]
   },
   {
@@ -109,10 +101,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 6,
+   "metadata": {},
    "outputs": [],
    "source": [
     "def ordered_seq_search(arr,ele):\n",
@@ -150,10 +140,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 7,
+   "metadata": {},
    "outputs": [],
    "source": [
     "arr.sort() "
@@ -161,10 +149,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 8,
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -172,7 +158,7 @@
        "True"
       ]
      },
-     "execution_count": 22,
+     "execution_count": 8,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -183,10 +169,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 9,
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -194,7 +178,7 @@
        "False"
       ]
      },
-     "execution_count": 24,
+     "execution_count": 9,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -213,23 +197,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.11"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Sorting and Searching/.ipynb_checkpoints/Implementation of Binary Search-checkpoint.ipynb b/07-Searching and Sorting/.ipynb_checkpoints/02-Implementation of Binary Search-checkpoint.ipynb
similarity index 80%
rename from Sorting and Searching/.ipynb_checkpoints/Implementation of Binary Search-checkpoint.ipynb
rename to 07-Searching and Sorting/.ipynb_checkpoints/02-Implementation of Binary Search-checkpoint.ipynb
index aa558014..2905e78f 100644
--- a/Sorting and Searching/.ipynb_checkpoints/Implementation of Binary Search-checkpoint.ipynb	
+++ b/07-Searching and Sorting/.ipynb_checkpoints/02-Implementation of Binary Search-checkpoint.ipynb	
@@ -18,10 +18,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 4,
+   "metadata": {},
    "outputs": [],
    "source": [
     "def binary_search(arr,ele):\n",
@@ -35,7 +33,7 @@
     "    \n",
     "    while first <= last and not found:\n",
     "        \n",
-    "        mid = (first+last)/2 # or // for Python 3\n",
+    "        mid = (first+last)//2\n",
     "        \n",
     "        # Match found\n",
     "        if arr[mid] == ele:\n",
@@ -55,10 +53,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 5,
+   "metadata": {},
    "outputs": [],
    "source": [
     "# list must already be sorted!\n",
@@ -67,10 +63,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 6,
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -78,7 +72,7 @@
        "True"
       ]
      },
-     "execution_count": 15,
+     "execution_count": 6,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -89,10 +83,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 7,
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -100,7 +92,7 @@
        "False"
       ]
      },
-     "execution_count": 16,
+     "execution_count": 7,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -118,10 +110,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 10,
+   "metadata": {},
    "outputs": [],
    "source": [
     "def rec_bin_search(arr,ele):\n",
@@ -133,7 +123,7 @@
     "    # Recursive Case\n",
     "    else:\n",
     "        \n",
-    "        mid = len(arr)/2\n",
+    "        mid = len(arr)//2\n",
     "        \n",
     "        # If match found\n",
     "        if arr[mid]==ele:\n",
@@ -152,10 +142,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 11,
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -163,7 +151,7 @@
        "True"
       ]
      },
-     "execution_count": 18,
+     "execution_count": 11,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -174,10 +162,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 12,
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -185,7 +171,7 @@
        "False"
       ]
      },
-     "execution_count": 20,
+     "execution_count": 12,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -204,23 +190,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.11"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Sorting and Searching/Implementation of a Hash Table.ipynb b/07-Searching and Sorting/.ipynb_checkpoints/03-Implementation of a Hash Table-checkpoint.ipynb
similarity index 95%
rename from Sorting and Searching/Implementation of a Hash Table.ipynb
rename to 07-Searching and Sorting/.ipynb_checkpoints/03-Implementation of a Hash Table-checkpoint.ipynb
index e71d50a8..cfbb1785 100644
--- a/Sorting and Searching/Implementation of a Hash Table.ipynb	
+++ b/07-Searching and Sorting/.ipynb_checkpoints/03-Implementation of a Hash Table-checkpoint.ipynb	
@@ -26,9 +26,7 @@
   {
    "cell_type": "code",
    "execution_count": 1,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "class HashTable(object):\n",
@@ -126,10 +124,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 2,
+   "metadata": {},
    "outputs": [],
    "source": [
     "h = HashTable(5)"
@@ -137,7 +133,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -147,10 +143,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 4,
+   "metadata": {},
    "outputs": [],
    "source": [
     "h[2] = 'two'"
@@ -158,10 +152,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 5,
+   "metadata": {},
    "outputs": [],
    "source": [
     "h[3] = 'three'"
@@ -169,7 +161,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [
     {
@@ -178,7 +170,7 @@
        "'one'"
       ]
      },
-     "execution_count": 8,
+     "execution_count": 6,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -189,10 +181,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 7,
+   "metadata": {},
    "outputs": [],
    "source": [
     "h[1] = 'new_one'"
@@ -200,7 +190,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [
     {
@@ -209,7 +199,7 @@
        "'new_one'"
       ]
      },
-     "execution_count": 10,
+     "execution_count": 8,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -220,7 +210,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [
     {
@@ -232,7 +222,7 @@
     }
    ],
    "source": [
-    "print h[4]"
+    "print(h[4])"
    ]
   },
   {
@@ -261,7 +251,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.2"
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
diff --git a/Sorting and Searching/Implementation of Bubble Sort.ipynb b/07-Searching and Sorting/.ipynb_checkpoints/04-Implementation of Bubble Sort-checkpoint.ipynb
similarity index 94%
rename from Sorting and Searching/Implementation of Bubble Sort.ipynb
rename to 07-Searching and Sorting/.ipynb_checkpoints/04-Implementation of Bubble Sort-checkpoint.ipynb
index 4385de2d..99ce390f 100644
--- a/Sorting and Searching/Implementation of Bubble Sort.ipynb	
+++ b/07-Searching and Sorting/.ipynb_checkpoints/04-Implementation of Bubble Sort-checkpoint.ipynb	
@@ -25,10 +25,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 1,
+   "metadata": {},
    "outputs": [],
    "source": [
     "def bubble_sort(arr):\n",
@@ -45,7 +43,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -55,7 +53,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [
     {
@@ -64,7 +62,7 @@
        "[1, 2, 3, 4, 5, 6, 7, 8, 13, 20]"
       ]
      },
-     "execution_count": 8,
+     "execution_count": 3,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -97,7 +95,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.2"
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
diff --git a/Sorting and Searching/Implementation of Selection Sort.ipynb b/07-Searching and Sorting/.ipynb_checkpoints/05-Implementation of Selection Sort-checkpoint.ipynb
similarity index 91%
rename from Sorting and Searching/Implementation of Selection Sort.ipynb
rename to 07-Searching and Sorting/.ipynb_checkpoints/05-Implementation of Selection Sort-checkpoint.ipynb
index c6d82a2d..36a61d40 100644
--- a/Sorting and Searching/Implementation of Selection Sort.ipynb	
+++ b/07-Searching and Sorting/.ipynb_checkpoints/05-Implementation of Selection Sort-checkpoint.ipynb	
@@ -26,9 +26,7 @@
   {
    "cell_type": "code",
    "execution_count": 1,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "def selection_sort(arr):\n",
@@ -51,9 +49,7 @@
   {
    "cell_type": "code",
    "execution_count": 2,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -82,23 +78,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.11"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Sorting and Searching/Implementation of Insertion Sort.ipynb b/07-Searching and Sorting/.ipynb_checkpoints/06-Implementation of Insertion Sort-checkpoint.ipynb
similarity index 95%
rename from Sorting and Searching/Implementation of Insertion Sort.ipynb
rename to 07-Searching and Sorting/.ipynb_checkpoints/06-Implementation of Insertion Sort-checkpoint.ipynb
index b00bb835..51cde501 100644
--- a/Sorting and Searching/Implementation of Insertion Sort.ipynb	
+++ b/07-Searching and Sorting/.ipynb_checkpoints/06-Implementation of Insertion Sort-checkpoint.ipynb	
@@ -25,10 +25,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 1,
+   "metadata": {},
    "outputs": [],
    "source": [
     "def insertion_sort(arr):\n",
@@ -51,7 +49,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [
     {
@@ -60,7 +58,7 @@
        "[1, 2, 3, 4, 5, 6, 8, 12, 25, 41]"
       ]
      },
-     "execution_count": 3,
+     "execution_count": 2,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -95,7 +93,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.2"
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
diff --git a/Sorting and Searching/Implementation of Shell Sort.ipynb b/07-Searching and Sorting/.ipynb_checkpoints/07-Implementation of Shell Sort-checkpoint.ipynb
similarity index 88%
rename from Sorting and Searching/Implementation of Shell Sort.ipynb
rename to 07-Searching and Sorting/.ipynb_checkpoints/07-Implementation of Shell Sort-checkpoint.ipynb
index 52bc30fc..16d55a18 100644
--- a/Sorting and Searching/Implementation of Shell Sort.ipynb	
+++ b/07-Searching and Sorting/.ipynb_checkpoints/07-Implementation of Shell Sort-checkpoint.ipynb	
@@ -25,13 +25,11 @@
   {
    "cell_type": "code",
    "execution_count": 5,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "def shell_sort(arr):\n",
-    "    sublistcount = len(arr)/2\n",
+    "    sublistcount = len(arr)//2\n",
     "    \n",
     "    # While we still have sub lists\n",
     "    while sublistcount > 0:\n",
@@ -41,8 +39,8 @@
     "\n",
     "      \n",
     "\n",
-    "        sublistcount = sublistcount / 2\n",
-    "\n",
+    "        sublistcount = sublistcount // 2\n",
+    "        \n",
     "def gap_insertion_sort(arr,start,gap):\n",
     "    for i in range(start+gap,len(arr),gap):\n",
     "\n",
@@ -61,9 +59,7 @@
   {
    "cell_type": "code",
    "execution_count": 6,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -92,23 +88,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.11"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Sorting and Searching/Implementation of Merge Sort.ipynb b/07-Searching and Sorting/.ipynb_checkpoints/08-Implementation of Merge Sort-checkpoint.ipynb
similarity index 96%
rename from Sorting and Searching/Implementation of Merge Sort.ipynb
rename to 07-Searching and Sorting/.ipynb_checkpoints/08-Implementation of Merge Sort-checkpoint.ipynb
index 0ad3b17d..d643cc46 100644
--- a/Sorting and Searching/Implementation of Merge Sort.ipynb	
+++ b/07-Searching and Sorting/.ipynb_checkpoints/08-Implementation of Merge Sort-checkpoint.ipynb	
@@ -25,15 +25,13 @@
   {
    "cell_type": "code",
    "execution_count": 3,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "def merge_sort(arr):\n",
     "    \n",
     "    if len(arr)>1:\n",
-    "        mid = len(arr)/2\n",
+    "        mid = len(arr)//2\n",
     "        lefthalf = arr[:mid]\n",
     "        righthalf = arr[mid:]\n",
     "\n",
@@ -109,7 +107,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.2"
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
diff --git a/Sorting and Searching/Implementation of Quick Sort.ipynb b/07-Searching and Sorting/.ipynb_checkpoints/09-Implementation of Quick Sort-checkpoint.ipynb
similarity index 95%
rename from Sorting and Searching/Implementation of Quick Sort.ipynb
rename to 07-Searching and Sorting/.ipynb_checkpoints/09-Implementation of Quick Sort-checkpoint.ipynb
index bf2e99c0..b5faf25f 100644
--- a/Sorting and Searching/Implementation of Quick Sort.ipynb	
+++ b/07-Searching and Sorting/.ipynb_checkpoints/09-Implementation of Quick Sort-checkpoint.ipynb	
@@ -24,10 +24,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 1,
+   "metadata": {},
    "outputs": [],
    "source": [
     "def quick_sort(arr):\n",
@@ -78,7 +76,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [
     {
@@ -87,7 +85,7 @@
        "[1, 2, 3, 4, 4, 5, 6, 7, 11, 12]"
       ]
      },
-     "execution_count": 6,
+     "execution_count": 2,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -122,7 +120,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.2"
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
diff --git a/Sorting and Searching/Sequential Search.ipynb b/07-Searching and Sorting/01-Sequential Search.ipynb
similarity index 84%
rename from Sorting and Searching/Sequential Search.ipynb
rename to 07-Searching and Sorting/01-Sequential Search.ipynb
index f514dc75..2940779d 100644
--- a/Sorting and Searching/Sequential Search.ipynb	
+++ b/07-Searching and Sorting/01-Sequential Search.ipynb	
@@ -20,9 +20,7 @@
   {
    "cell_type": "code",
    "execution_count": 1,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "def seq_search(arr,ele):\n",
@@ -51,10 +49,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 2,
+   "metadata": {},
    "outputs": [],
    "source": [
     "arr = [1,9,2,8,3,4,7,5,6]"
@@ -62,10 +58,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 4,
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -76,15 +70,13 @@
     }
    ],
    "source": [
-    "print seq_search(arr,1)"
+    "print(seq_search(arr,1))"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 5,
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -95,7 +87,7 @@
     }
    ],
    "source": [
-    "print seq_search(arr,10)"
+    "print(seq_search(arr,10))"
    ]
   },
   {
@@ -109,10 +101,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 6,
+   "metadata": {},
    "outputs": [],
    "source": [
     "def ordered_seq_search(arr,ele):\n",
@@ -150,10 +140,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 7,
+   "metadata": {},
    "outputs": [],
    "source": [
     "arr.sort() "
@@ -161,10 +149,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 8,
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -172,7 +158,7 @@
        "True"
       ]
      },
-     "execution_count": 22,
+     "execution_count": 8,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -183,10 +169,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 9,
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -194,7 +178,7 @@
        "False"
       ]
      },
-     "execution_count": 24,
+     "execution_count": 9,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -213,23 +197,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.11"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Sorting and Searching/Implementation of Binary Search.ipynb b/07-Searching and Sorting/02-Implementation of Binary Search.ipynb
similarity index 80%
rename from Sorting and Searching/Implementation of Binary Search.ipynb
rename to 07-Searching and Sorting/02-Implementation of Binary Search.ipynb
index aa558014..2905e78f 100644
--- a/Sorting and Searching/Implementation of Binary Search.ipynb	
+++ b/07-Searching and Sorting/02-Implementation of Binary Search.ipynb	
@@ -18,10 +18,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 4,
+   "metadata": {},
    "outputs": [],
    "source": [
     "def binary_search(arr,ele):\n",
@@ -35,7 +33,7 @@
     "    \n",
     "    while first <= last and not found:\n",
     "        \n",
-    "        mid = (first+last)/2 # or // for Python 3\n",
+    "        mid = (first+last)//2\n",
     "        \n",
     "        # Match found\n",
     "        if arr[mid] == ele:\n",
@@ -55,10 +53,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 5,
+   "metadata": {},
    "outputs": [],
    "source": [
     "# list must already be sorted!\n",
@@ -67,10 +63,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 6,
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -78,7 +72,7 @@
        "True"
       ]
      },
-     "execution_count": 15,
+     "execution_count": 6,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -89,10 +83,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 7,
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -100,7 +92,7 @@
        "False"
       ]
      },
-     "execution_count": 16,
+     "execution_count": 7,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -118,10 +110,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 10,
+   "metadata": {},
    "outputs": [],
    "source": [
     "def rec_bin_search(arr,ele):\n",
@@ -133,7 +123,7 @@
     "    # Recursive Case\n",
     "    else:\n",
     "        \n",
-    "        mid = len(arr)/2\n",
+    "        mid = len(arr)//2\n",
     "        \n",
     "        # If match found\n",
     "        if arr[mid]==ele:\n",
@@ -152,10 +142,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 11,
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -163,7 +151,7 @@
        "True"
       ]
      },
-     "execution_count": 18,
+     "execution_count": 11,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -174,10 +162,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 12,
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -185,7 +171,7 @@
        "False"
       ]
      },
-     "execution_count": 20,
+     "execution_count": 12,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -204,23 +190,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.11"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Sorting and Searching/.ipynb_checkpoints/Implementation of a Hash Table-checkpoint.ipynb b/07-Searching and Sorting/03-Implementation of a Hash Table.ipynb
similarity index 91%
rename from Sorting and Searching/.ipynb_checkpoints/Implementation of a Hash Table-checkpoint.ipynb
rename to 07-Searching and Sorting/03-Implementation of a Hash Table.ipynb
index aa8703ba..cfbb1785 100644
--- a/Sorting and Searching/.ipynb_checkpoints/Implementation of a Hash Table-checkpoint.ipynb	
+++ b/07-Searching and Sorting/03-Implementation of a Hash Table.ipynb	
@@ -26,9 +26,7 @@
   {
    "cell_type": "code",
    "execution_count": 1,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "class HashTable(object):\n",
@@ -126,10 +124,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 2,
+   "metadata": {},
    "outputs": [],
    "source": [
     "h = HashTable(5)"
@@ -137,10 +133,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 3,
+   "metadata": {},
    "outputs": [],
    "source": [
     "# Put our first key in\n",
@@ -149,10 +143,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 4,
+   "metadata": {},
    "outputs": [],
    "source": [
     "h[2] = 'two'"
@@ -160,10 +152,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 5,
+   "metadata": {},
    "outputs": [],
    "source": [
     "h[3] = 'three'"
@@ -171,10 +161,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 6,
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -182,7 +170,7 @@
        "'one'"
       ]
      },
-     "execution_count": 8,
+     "execution_count": 6,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -193,10 +181,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 7,
+   "metadata": {},
    "outputs": [],
    "source": [
     "h[1] = 'new_one'"
@@ -204,10 +190,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 8,
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -215,7 +199,7 @@
        "'new_one'"
       ]
      },
-     "execution_count": 10,
+     "execution_count": 8,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -226,10 +210,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 10,
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -240,7 +222,7 @@
     }
    ],
    "source": [
-    "print h[4]"
+    "print(h[4])"
    ]
   },
   {
@@ -255,23 +237,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.11"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Sorting and Searching/.ipynb_checkpoints/Implementation of Bubble Sort-checkpoint.ipynb b/07-Searching and Sorting/04-Implementation of Bubble Sort.ipynb
similarity index 85%
rename from Sorting and Searching/.ipynb_checkpoints/Implementation of Bubble Sort-checkpoint.ipynb
rename to 07-Searching and Sorting/04-Implementation of Bubble Sort.ipynb
index f88f1bd4..99ce390f 100644
--- a/Sorting and Searching/.ipynb_checkpoints/Implementation of Bubble Sort-checkpoint.ipynb	
+++ b/07-Searching and Sorting/04-Implementation of Bubble Sort.ipynb	
@@ -25,10 +25,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 1,
+   "metadata": {},
    "outputs": [],
    "source": [
     "def bubble_sort(arr):\n",
@@ -45,10 +43,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 2,
+   "metadata": {},
    "outputs": [],
    "source": [
     "arr = [3,2,13,4,6,5,7,8,1,20]\n",
@@ -57,10 +53,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 3,
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -68,7 +62,7 @@
        "[1, 2, 3, 4, 5, 6, 7, 8, 13, 20]"
       ]
      },
-     "execution_count": 8,
+     "execution_count": 3,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -87,23 +81,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.11"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Sorting and Searching/.ipynb_checkpoints/Implementation of Selection Sort-checkpoint.ipynb b/07-Searching and Sorting/05-Implementation of Selection Sort.ipynb
similarity index 91%
rename from Sorting and Searching/.ipynb_checkpoints/Implementation of Selection Sort-checkpoint.ipynb
rename to 07-Searching and Sorting/05-Implementation of Selection Sort.ipynb
index c6d82a2d..36a61d40 100644
--- a/Sorting and Searching/.ipynb_checkpoints/Implementation of Selection Sort-checkpoint.ipynb	
+++ b/07-Searching and Sorting/05-Implementation of Selection Sort.ipynb	
@@ -26,9 +26,7 @@
   {
    "cell_type": "code",
    "execution_count": 1,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "def selection_sort(arr):\n",
@@ -51,9 +49,7 @@
   {
    "cell_type": "code",
    "execution_count": 2,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -82,23 +78,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.11"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Sorting and Searching/.ipynb_checkpoints/Implementation of Insertion Sort-checkpoint.ipynb b/07-Searching and Sorting/06-Implementation of Insertion Sort.ipynb
similarity index 88%
rename from Sorting and Searching/.ipynb_checkpoints/Implementation of Insertion Sort-checkpoint.ipynb
rename to 07-Searching and Sorting/06-Implementation of Insertion Sort.ipynb
index 86b90033..51cde501 100644
--- a/Sorting and Searching/.ipynb_checkpoints/Implementation of Insertion Sort-checkpoint.ipynb	
+++ b/07-Searching and Sorting/06-Implementation of Insertion Sort.ipynb	
@@ -25,10 +25,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 1,
+   "metadata": {},
    "outputs": [],
    "source": [
     "def insertion_sort(arr):\n",
@@ -51,10 +49,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 2,
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -62,7 +58,7 @@
        "[1, 2, 3, 4, 5, 6, 8, 12, 25, 41]"
       ]
      },
-     "execution_count": 3,
+     "execution_count": 2,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -83,23 +79,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.11"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Sorting and Searching/.ipynb_checkpoints/Implementation of Shell Sort-checkpoint.ipynb b/07-Searching and Sorting/07-Implementation of Shell Sort.ipynb
similarity index 88%
rename from Sorting and Searching/.ipynb_checkpoints/Implementation of Shell Sort-checkpoint.ipynb
rename to 07-Searching and Sorting/07-Implementation of Shell Sort.ipynb
index 52bc30fc..16d55a18 100644
--- a/Sorting and Searching/.ipynb_checkpoints/Implementation of Shell Sort-checkpoint.ipynb	
+++ b/07-Searching and Sorting/07-Implementation of Shell Sort.ipynb	
@@ -25,13 +25,11 @@
   {
    "cell_type": "code",
    "execution_count": 5,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "def shell_sort(arr):\n",
-    "    sublistcount = len(arr)/2\n",
+    "    sublistcount = len(arr)//2\n",
     "    \n",
     "    # While we still have sub lists\n",
     "    while sublistcount > 0:\n",
@@ -41,8 +39,8 @@
     "\n",
     "      \n",
     "\n",
-    "        sublistcount = sublistcount / 2\n",
-    "\n",
+    "        sublistcount = sublistcount // 2\n",
+    "        \n",
     "def gap_insertion_sort(arr,start,gap):\n",
     "    for i in range(start+gap,len(arr),gap):\n",
     "\n",
@@ -61,9 +59,7 @@
   {
    "cell_type": "code",
    "execution_count": 6,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -92,23 +88,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.11"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Sorting and Searching/.ipynb_checkpoints/Implementation of Merge Sort-checkpoint.ipynb b/07-Searching and Sorting/08-Implementation of Merge Sort.ipynb
similarity index 91%
rename from Sorting and Searching/.ipynb_checkpoints/Implementation of Merge Sort-checkpoint.ipynb
rename to 07-Searching and Sorting/08-Implementation of Merge Sort.ipynb
index 5a38965b..d643cc46 100644
--- a/Sorting and Searching/.ipynb_checkpoints/Implementation of Merge Sort-checkpoint.ipynb	
+++ b/07-Searching and Sorting/08-Implementation of Merge Sort.ipynb	
@@ -25,15 +25,13 @@
   {
    "cell_type": "code",
    "execution_count": 3,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "def merge_sort(arr):\n",
     "    \n",
     "    if len(arr)>1:\n",
-    "        mid = len(arr)/2\n",
+    "        mid = len(arr)//2\n",
     "        lefthalf = arr[:mid]\n",
     "        righthalf = arr[mid:]\n",
     "\n",
@@ -66,9 +64,7 @@
   {
    "cell_type": "code",
    "execution_count": 4,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -97,23 +93,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.11"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Sorting and Searching/.ipynb_checkpoints/Implementation of Quick Sort-checkpoint.ipynb b/07-Searching and Sorting/09-Implementation of Quick Sort.ipynb
similarity index 90%
rename from Sorting and Searching/.ipynb_checkpoints/Implementation of Quick Sort-checkpoint.ipynb
rename to 07-Searching and Sorting/09-Implementation of Quick Sort.ipynb
index 7a00715a..b5faf25f 100644
--- a/Sorting and Searching/.ipynb_checkpoints/Implementation of Quick Sort-checkpoint.ipynb	
+++ b/07-Searching and Sorting/09-Implementation of Quick Sort.ipynb	
@@ -24,10 +24,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 1,
+   "metadata": {},
    "outputs": [],
    "source": [
     "def quick_sort(arr):\n",
@@ -78,10 +76,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 2,
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -89,7 +85,7 @@
        "[1, 2, 3, 4, 4, 5, 6, 7, 11, 12]"
       ]
      },
-     "execution_count": 6,
+     "execution_count": 2,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -110,23 +106,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.11"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Graphs/Implementation of Graph Overview.ipynb b/08-Graphs/.ipynb_checkpoints/01-Implementation of Graph Overview-checkpoint.ipynb
similarity index 87%
rename from Graphs/Implementation of Graph Overview.ipynb
rename to 08-Graphs/.ipynb_checkpoints/01-Implementation of Graph Overview-checkpoint.ipynb
index 3363f9a8..6ae4e9ff 100644
--- a/Graphs/Implementation of Graph Overview.ipynb	
+++ b/08-Graphs/.ipynb_checkpoints/01-Implementation of Graph Overview-checkpoint.ipynb	
@@ -18,10 +18,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 1,
+   "metadata": {},
    "outputs": [],
    "source": [
     "from enum import Enum  \n",
@@ -41,10 +39,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 2,
+   "metadata": {},
    "outputs": [],
    "source": [
     "from collections import OrderedDict\n",
@@ -69,10 +65,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 3,
+   "metadata": {},
    "outputs": [],
    "source": [
     "class Graph:\n",
@@ -95,7 +89,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -105,17 +99,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "OrderedDict([(0, <__main__.Node instance at 0x103a761b8>),\n",
-       "             (1, <__main__.Node instance at 0x104dfef80>)])"
+       "OrderedDict([(0, <__main__.Node at 0x7fef88790be0>),\n",
+       "             (1, <__main__.Node at 0x7fef88790b80>)])"
       ]
      },
-     "execution_count": 15,
+     "execution_count": 5,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -148,7 +142,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.3"
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
diff --git a/Graphs/Implementation of Adjacency List.ipynb b/08-Graphs/.ipynb_checkpoints/02-Implementation of Adjacency List-checkpoint.ipynb
similarity index 87%
rename from Graphs/Implementation of Adjacency List.ipynb
rename to 08-Graphs/.ipynb_checkpoints/02-Implementation of Adjacency List-checkpoint.ipynb
index e415ad5e..da321838 100644
--- a/Graphs/Implementation of Adjacency List.ipynb	
+++ b/08-Graphs/.ipynb_checkpoints/02-Implementation of Adjacency List-checkpoint.ipynb	
@@ -14,10 +14,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 1,
+   "metadata": {},
    "outputs": [],
    "source": [
     "class Vertex:\n",
@@ -60,10 +58,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 2,
+   "metadata": {},
    "outputs": [],
    "source": [
     "class Graph:\n",
@@ -109,7 +105,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -120,21 +116,21 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "{0: <__main__.Vertex instance at 0x10476b680>,\n",
-       " 1: <__main__.Vertex instance at 0x104cce5f0>,\n",
-       " 2: <__main__.Vertex instance at 0x10395d950>,\n",
-       " 3: <__main__.Vertex instance at 0x1039c00e0>,\n",
-       " 4: <__main__.Vertex instance at 0x1039c4e60>,\n",
-       " 5: <__main__.Vertex instance at 0x1039c45f0>}"
+       "{0: <__main__.Vertex at 0x7fc9084f7e50>,\n",
+       " 1: <__main__.Vertex at 0x7fc9084f7fd0>,\n",
+       " 2: <__main__.Vertex at 0x7fc9084f7940>,\n",
+       " 3: <__main__.Vertex at 0x7fc9084f7eb0>,\n",
+       " 4: <__main__.Vertex at 0x7fc9084f7f40>,\n",
+       " 5: <__main__.Vertex at 0x7fc9084f7ac0>}"
       ]
      },
-     "execution_count": 6,
+     "execution_count": 4,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -145,10 +141,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 5,
+   "metadata": {},
    "outputs": [],
    "source": [
     "g.addEdge(0,1,2)"
@@ -156,7 +150,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [
     {
@@ -164,27 +158,27 @@
      "output_type": "stream",
      "text": [
       "0 connectedTo: [1]\n",
-      "[<__main__.Vertex instance at 0x104cce5f0>]\n",
+      "dict_keys([<__main__.Vertex object at 0x7fc9084f7fd0>])\n",
       "\n",
       "\n",
       "1 connectedTo: []\n",
-      "[]\n",
+      "dict_keys([])\n",
       "\n",
       "\n",
       "2 connectedTo: []\n",
-      "[]\n",
+      "dict_keys([])\n",
       "\n",
       "\n",
       "3 connectedTo: []\n",
-      "[]\n",
+      "dict_keys([])\n",
       "\n",
       "\n",
       "4 connectedTo: []\n",
-      "[]\n",
+      "dict_keys([])\n",
       "\n",
       "\n",
       "5 connectedTo: []\n",
-      "[]\n",
+      "dict_keys([])\n",
       "\n",
       "\n"
      ]
@@ -192,9 +186,9 @@
    ],
    "source": [
     "for vertex in g:\n",
-    "    print vertex\n",
-    "    print vertex.getConnections()\n",
-    "    print '\\n'"
+    "    print(vertex)\n",
+    "    print(vertex.getConnections())\n",
+    "    print('\\n')"
    ]
   },
   {
@@ -221,7 +215,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.3"
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
diff --git a/Graphs/.ipynb_checkpoints/Word Ladder Example Problem-checkpoint.ipynb b/08-Graphs/.ipynb_checkpoints/03-Word Ladder Example Problem-checkpoint.ipynb
similarity index 90%
rename from Graphs/.ipynb_checkpoints/Word Ladder Example Problem-checkpoint.ipynb
rename to 08-Graphs/.ipynb_checkpoints/03-Word Ladder Example Problem-checkpoint.ipynb
index a90aefdd..ab03f959 100644
--- a/Graphs/.ipynb_checkpoints/Word Ladder Example Problem-checkpoint.ipynb	
+++ b/08-Graphs/.ipynb_checkpoints/03-Word Ladder Example Problem-checkpoint.ipynb	
@@ -14,9 +14,7 @@
   {
    "cell_type": "code",
    "execution_count": 1,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "class Vertex:\n",
@@ -43,9 +41,7 @@
   {
    "cell_type": "code",
    "execution_count": 2,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "class Graph:\n",
@@ -91,10 +87,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 4,
+   "metadata": {},
    "outputs": [],
    "source": [
     "def buildGraph(wordFile):\n",
@@ -104,9 +98,9 @@
     "    wfile = open(wordFile,'r')\n",
     "    # create buckets of words that differ by one letter\n",
     "    for line in wfile:\n",
-    "        print line\n",
+    "        print(line)\n",
     "        word = line[:-1]\n",
-    "        print word\n",
+    "        print(word)\n",
     "        for i in range(len(word)):\n",
     "            bucket = word[:i] + '_' + word[i+1:]\n",
     "            if bucket in d:\n",
@@ -132,23 +126,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.11"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Graphs/.ipynb_checkpoints/Knight's Tour Example Problem-checkpoint.ipynb b/08-Graphs/.ipynb_checkpoints/04-Knight's Tour Example Problem-checkpoint.ipynb
similarity index 90%
rename from Graphs/.ipynb_checkpoints/Knight's Tour Example Problem-checkpoint.ipynb
rename to 08-Graphs/.ipynb_checkpoints/04-Knight's Tour Example Problem-checkpoint.ipynb
index 1504a502..96dd0f9b 100644
--- a/Graphs/.ipynb_checkpoints/Knight's Tour Example Problem-checkpoint.ipynb	
+++ b/08-Graphs/.ipynb_checkpoints/04-Knight's Tour Example Problem-checkpoint.ipynb	
@@ -14,9 +14,7 @@
   {
    "cell_type": "code",
    "execution_count": 1,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "def knightGraph(bdSize):\n",
@@ -37,9 +35,7 @@
   {
    "cell_type": "code",
    "execution_count": 2,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "def genLegalMoves(x,y,bdSize):\n",
@@ -64,9 +60,7 @@
   {
    "cell_type": "code",
    "execution_count": 3,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "def knightTour(n,path,u,limit):\n",
@@ -91,23 +85,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.11"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Graphs/Implementation of Depth First Search.ipynb b/08-Graphs/.ipynb_checkpoints/05-Implementation of Depth First Search-checkpoint.ipynb
similarity index 95%
rename from Graphs/Implementation of Depth First Search.ipynb
rename to 08-Graphs/.ipynb_checkpoints/05-Implementation of Depth First Search-checkpoint.ipynb
index c111e89d..dd2f9279 100644
--- a/Graphs/Implementation of Depth First Search.ipynb	
+++ b/08-Graphs/.ipynb_checkpoints/05-Implementation of Depth First Search-checkpoint.ipynb	
@@ -15,10 +15,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 1,
+   "metadata": {},
    "outputs": [],
    "source": [
     "graph = {'A': set(['B', 'C']),\n",
@@ -40,7 +38,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [
     {
@@ -49,7 +47,7 @@
        "{'A', 'B', 'C', 'D', 'E', 'F'}"
       ]
      },
-     "execution_count": 15,
+     "execution_count": 2,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -76,7 +74,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [
     {
@@ -85,7 +83,7 @@
        "{'A', 'B', 'C', 'D', 'E', 'F'}"
       ]
      },
-     "execution_count": 12,
+     "execution_count": 3,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -112,7 +110,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [
     {
@@ -121,7 +119,7 @@
        "[['A', 'B', 'E', 'F'], ['A', 'C', 'F']]"
       ]
      },
-     "execution_count": 11,
+     "execution_count": 4,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -170,7 +168,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.3"
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
diff --git a/Graphs/Implementation of Breadth First Search.ipynb b/08-Graphs/.ipynb_checkpoints/06-Implementation of Breadth First Search-checkpoint.ipynb
similarity index 98%
rename from Graphs/Implementation of Breadth First Search.ipynb
rename to 08-Graphs/.ipynb_checkpoints/06-Implementation of Breadth First Search-checkpoint.ipynb
index 185b0183..4810b9fb 100644
--- a/Graphs/Implementation of Breadth First Search.ipynb	
+++ b/08-Graphs/.ipynb_checkpoints/06-Implementation of Breadth First Search-checkpoint.ipynb	
@@ -17,9 +17,7 @@
   {
    "cell_type": "code",
    "execution_count": 1,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "graph = {'A': set(['B', 'C']),\n",
@@ -168,7 +166,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.3"
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
diff --git a/Graphs/.ipynb_checkpoints/Implementation of Graph Overview-checkpoint.ipynb b/08-Graphs/01-Implementation of Graph Overview.ipynb
similarity index 82%
rename from Graphs/.ipynb_checkpoints/Implementation of Graph Overview-checkpoint.ipynb
rename to 08-Graphs/01-Implementation of Graph Overview.ipynb
index 5d2d34d8..6ae4e9ff 100644
--- a/Graphs/.ipynb_checkpoints/Implementation of Graph Overview-checkpoint.ipynb	
+++ b/08-Graphs/01-Implementation of Graph Overview.ipynb	
@@ -18,10 +18,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 1,
+   "metadata": {},
    "outputs": [],
    "source": [
     "from enum import Enum  \n",
@@ -41,10 +39,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 2,
+   "metadata": {},
    "outputs": [],
    "source": [
     "from collections import OrderedDict\n",
@@ -69,10 +65,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 3,
+   "metadata": {},
    "outputs": [],
    "source": [
     "class Graph:\n",
@@ -95,10 +89,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 4,
+   "metadata": {},
    "outputs": [],
    "source": [
     "g = Graph()\n",
@@ -107,19 +99,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 5,
+   "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "OrderedDict([(0, <__main__.Node instance at 0x103a761b8>),\n",
-       "             (1, <__main__.Node instance at 0x104dfef80>)])"
+       "OrderedDict([(0, <__main__.Node at 0x7fef88790be0>),\n",
+       "             (1, <__main__.Node at 0x7fef88790b80>)])"
       ]
      },
-     "execution_count": 15,
+     "execution_count": 5,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -138,23 +128,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.11"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Graphs/.ipynb_checkpoints/Implementation of Adjacency List-checkpoint.ipynb b/08-Graphs/02-Implementation of Adjacency List.ipynb
similarity index 83%
rename from Graphs/.ipynb_checkpoints/Implementation of Adjacency List-checkpoint.ipynb
rename to 08-Graphs/02-Implementation of Adjacency List.ipynb
index 83f84026..da321838 100644
--- a/Graphs/.ipynb_checkpoints/Implementation of Adjacency List-checkpoint.ipynb	
+++ b/08-Graphs/02-Implementation of Adjacency List.ipynb	
@@ -14,10 +14,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 1,
+   "metadata": {},
    "outputs": [],
    "source": [
     "class Vertex:\n",
@@ -60,10 +58,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 2,
+   "metadata": {},
    "outputs": [],
    "source": [
     "class Graph:\n",
@@ -109,10 +105,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 3,
+   "metadata": {},
    "outputs": [],
    "source": [
     "g = Graph()\n",
@@ -122,23 +116,21 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 4,
+   "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "{0: <__main__.Vertex instance at 0x10476b680>,\n",
-       " 1: <__main__.Vertex instance at 0x104cce5f0>,\n",
-       " 2: <__main__.Vertex instance at 0x10395d950>,\n",
-       " 3: <__main__.Vertex instance at 0x1039c00e0>,\n",
-       " 4: <__main__.Vertex instance at 0x1039c4e60>,\n",
-       " 5: <__main__.Vertex instance at 0x1039c45f0>}"
+       "{0: <__main__.Vertex at 0x7fc9084f7e50>,\n",
+       " 1: <__main__.Vertex at 0x7fc9084f7fd0>,\n",
+       " 2: <__main__.Vertex at 0x7fc9084f7940>,\n",
+       " 3: <__main__.Vertex at 0x7fc9084f7eb0>,\n",
+       " 4: <__main__.Vertex at 0x7fc9084f7f40>,\n",
+       " 5: <__main__.Vertex at 0x7fc9084f7ac0>}"
       ]
      },
-     "execution_count": 6,
+     "execution_count": 4,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -149,10 +141,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 5,
+   "metadata": {},
    "outputs": [],
    "source": [
     "g.addEdge(0,1,2)"
@@ -160,37 +150,35 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 6,
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
       "0 connectedTo: [1]\n",
-      "[<__main__.Vertex instance at 0x104cce5f0>]\n",
+      "dict_keys([<__main__.Vertex object at 0x7fc9084f7fd0>])\n",
       "\n",
       "\n",
       "1 connectedTo: []\n",
-      "[]\n",
+      "dict_keys([])\n",
       "\n",
       "\n",
       "2 connectedTo: []\n",
-      "[]\n",
+      "dict_keys([])\n",
       "\n",
       "\n",
       "3 connectedTo: []\n",
-      "[]\n",
+      "dict_keys([])\n",
       "\n",
       "\n",
       "4 connectedTo: []\n",
-      "[]\n",
+      "dict_keys([])\n",
       "\n",
       "\n",
       "5 connectedTo: []\n",
-      "[]\n",
+      "dict_keys([])\n",
       "\n",
       "\n"
      ]
@@ -198,9 +186,9 @@
    ],
    "source": [
     "for vertex in g:\n",
-    "    print vertex\n",
-    "    print vertex.getConnections()\n",
-    "    print '\\n'"
+    "    print(vertex)\n",
+    "    print(vertex.getConnections())\n",
+    "    print('\\n')"
    ]
   },
   {
@@ -213,23 +201,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.11"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Graphs/Word Ladder Example Problem.ipynb b/08-Graphs/03-Word Ladder Example Problem.ipynb
similarity index 90%
rename from Graphs/Word Ladder Example Problem.ipynb
rename to 08-Graphs/03-Word Ladder Example Problem.ipynb
index a90aefdd..ab03f959 100644
--- a/Graphs/Word Ladder Example Problem.ipynb	
+++ b/08-Graphs/03-Word Ladder Example Problem.ipynb	
@@ -14,9 +14,7 @@
   {
    "cell_type": "code",
    "execution_count": 1,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "class Vertex:\n",
@@ -43,9 +41,7 @@
   {
    "cell_type": "code",
    "execution_count": 2,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "class Graph:\n",
@@ -91,10 +87,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 4,
+   "metadata": {},
    "outputs": [],
    "source": [
     "def buildGraph(wordFile):\n",
@@ -104,9 +98,9 @@
     "    wfile = open(wordFile,'r')\n",
     "    # create buckets of words that differ by one letter\n",
     "    for line in wfile:\n",
-    "        print line\n",
+    "        print(line)\n",
     "        word = line[:-1]\n",
-    "        print word\n",
+    "        print(word)\n",
     "        for i in range(len(word)):\n",
     "            bucket = word[:i] + '_' + word[i+1:]\n",
     "            if bucket in d:\n",
@@ -132,23 +126,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.11"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Graphs/Knight's Tour Example Problem.ipynb b/08-Graphs/04-Knight's Tour Example Problem.ipynb
similarity index 90%
rename from Graphs/Knight's Tour Example Problem.ipynb
rename to 08-Graphs/04-Knight's Tour Example Problem.ipynb
index 1504a502..96dd0f9b 100644
--- a/Graphs/Knight's Tour Example Problem.ipynb	
+++ b/08-Graphs/04-Knight's Tour Example Problem.ipynb	
@@ -14,9 +14,7 @@
   {
    "cell_type": "code",
    "execution_count": 1,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "def knightGraph(bdSize):\n",
@@ -37,9 +35,7 @@
   {
    "cell_type": "code",
    "execution_count": 2,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "def genLegalMoves(x,y,bdSize):\n",
@@ -64,9 +60,7 @@
   {
    "cell_type": "code",
    "execution_count": 3,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "def knightTour(n,path,u,limit):\n",
@@ -91,23 +85,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.11"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Graphs/.ipynb_checkpoints/Implementation of Depth First Search-checkpoint.ipynb b/08-Graphs/05-Implementation of Depth First Search.ipynb
similarity index 90%
rename from Graphs/.ipynb_checkpoints/Implementation of Depth First Search-checkpoint.ipynb
rename to 08-Graphs/05-Implementation of Depth First Search.ipynb
index 9551040f..dd2f9279 100644
--- a/Graphs/.ipynb_checkpoints/Implementation of Depth First Search-checkpoint.ipynb	
+++ b/08-Graphs/05-Implementation of Depth First Search.ipynb	
@@ -15,10 +15,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 1,
+   "metadata": {},
    "outputs": [],
    "source": [
     "graph = {'A': set(['B', 'C']),\n",
@@ -40,10 +38,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 2,
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -51,7 +47,7 @@
        "{'A', 'B', 'C', 'D', 'E', 'F'}"
       ]
      },
-     "execution_count": 15,
+     "execution_count": 2,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -78,10 +74,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 3,
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -89,7 +83,7 @@
        "{'A', 'B', 'C', 'D', 'E', 'F'}"
       ]
      },
-     "execution_count": 12,
+     "execution_count": 3,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -116,10 +110,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 4,
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -127,7 +119,7 @@
        "[['A', 'B', 'E', 'F'], ['A', 'C', 'F']]"
       ]
      },
-     "execution_count": 11,
+     "execution_count": 4,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -162,23 +154,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.11"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Graphs/.ipynb_checkpoints/Implementation of Breadth First Search-checkpoint.ipynb b/08-Graphs/06-Implementation of Breadth First Search.ipynb
similarity index 93%
rename from Graphs/.ipynb_checkpoints/Implementation of Breadth First Search-checkpoint.ipynb
rename to 08-Graphs/06-Implementation of Breadth First Search.ipynb
index cd18f9b7..4810b9fb 100644
--- a/Graphs/.ipynb_checkpoints/Implementation of Breadth First Search-checkpoint.ipynb	
+++ b/08-Graphs/06-Implementation of Breadth First Search.ipynb	
@@ -17,9 +17,7 @@
   {
    "cell_type": "code",
    "execution_count": 1,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "graph = {'A': set(['B', 'C']),\n",
@@ -41,9 +39,7 @@
   {
    "cell_type": "code",
    "execution_count": 2,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -80,9 +76,7 @@
   {
    "cell_type": "code",
    "execution_count": 3,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -119,9 +113,7 @@
   {
    "cell_type": "code",
    "execution_count": 4,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -160,23 +152,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.11"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Graphs/Graph Interview Questions - PRACTICE/Implement a Graph.ipynb b/08-Graphs/Graph Interview Questions - PRACTICE/.ipynb_checkpoints/01-Implement a Graph-checkpoint.ipynb
similarity index 98%
rename from Graphs/Graph Interview Questions - PRACTICE/Implement a Graph.ipynb
rename to 08-Graphs/Graph Interview Questions - PRACTICE/.ipynb_checkpoints/01-Implement a Graph-checkpoint.ipynb
index 513c78ef..ad968a0e 100644
--- a/Graphs/Graph Interview Questions - PRACTICE/Implement a Graph.ipynb	
+++ b/08-Graphs/Graph Interview Questions - PRACTICE/.ipynb_checkpoints/01-Implement a Graph-checkpoint.ipynb	
@@ -124,7 +124,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [
     {
@@ -133,7 +133,7 @@
        "{1}"
       ]
      },
-     "execution_count": 6,
+     "execution_count": 5,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -144,7 +144,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [
     {
@@ -153,7 +153,7 @@
        "set"
       ]
      },
-     "execution_count": 8,
+     "execution_count": 6,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -164,7 +164,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -173,7 +173,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [
     {
@@ -182,7 +182,7 @@
        "{1, 2, 3}"
       ]
      },
-     "execution_count": 11,
+     "execution_count": 8,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -215,7 +215,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.3"
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
diff --git a/Graphs/Graph Interview Questions - PRACTICE/Implement Depth First Search Algorithm.ipynb b/08-Graphs/Graph Interview Questions - PRACTICE/.ipynb_checkpoints/02-Implement Depth First Search Algorithm-checkpoint.ipynb
similarity index 82%
rename from Graphs/Graph Interview Questions - PRACTICE/Implement Depth First Search Algorithm.ipynb
rename to 08-Graphs/Graph Interview Questions - PRACTICE/.ipynb_checkpoints/02-Implement Depth First Search Algorithm-checkpoint.ipynb
index 94da601e..7cafeefe 100644
--- a/Graphs/Graph Interview Questions - PRACTICE/Implement Depth First Search Algorithm.ipynb	
+++ b/08-Graphs/Graph Interview Questions - PRACTICE/.ipynb_checkpoints/02-Implement Depth First Search Algorithm-checkpoint.ipynb	
@@ -16,10 +16,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 1,
+   "metadata": {},
    "outputs": [],
    "source": [
     "graph = {'A': set(['B', 'C']),\n",
@@ -40,23 +38,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.11"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Graphs/Graph Interview Questions/.ipynb_checkpoints/Implement Breadth First Search Algorithm-checkpoint.ipynb b/08-Graphs/Graph Interview Questions - PRACTICE/.ipynb_checkpoints/03-Implement Breadth First Search Algorithm-checkpoint.ipynb
similarity index 94%
rename from Graphs/Graph Interview Questions/.ipynb_checkpoints/Implement Breadth First Search Algorithm-checkpoint.ipynb
rename to 08-Graphs/Graph Interview Questions - PRACTICE/.ipynb_checkpoints/03-Implement Breadth First Search Algorithm-checkpoint.ipynb
index 039d98f3..d378be4a 100644
--- a/Graphs/Graph Interview Questions/.ipynb_checkpoints/Implement Breadth First Search Algorithm-checkpoint.ipynb	
+++ b/08-Graphs/Graph Interview Questions - PRACTICE/.ipynb_checkpoints/03-Implement Breadth First Search Algorithm-checkpoint.ipynb	
@@ -40,9 +40,9 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
@@ -58,5 +58,5 @@
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/08-Graphs/Graph Interview Questions - PRACTICE/01-Implement a Graph.ipynb b/08-Graphs/Graph Interview Questions - PRACTICE/01-Implement a Graph.ipynb
new file mode 100644
index 00000000..ad968a0e
--- /dev/null
+++ b/08-Graphs/Graph Interview Questions - PRACTICE/01-Implement a Graph.ipynb	
@@ -0,0 +1,223 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Implement a Graph Class!\n",
+    "\n",
+    "That's it! \n",
+    "\n",
+    "Best of luck and reference the video lecture for any questions!\n",
+    "\n",
+    "You have to fully worked out implementations in the lectures, so make sure to refer to them!"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "class Graph:\n",
+    "    '''\n",
+    "    In order to implement a Graph as an Adjacency List what we need to do is define the methods our Adjacency List object will have:\n",
+    "    Graph() creates a new, empty graph.\n",
+    "    addVertex(vert) adds an instance of Vertex to the graph.\n",
+    "    addEdge(fromVert, toVert) Adds a new, directed edge to the graph that connects two vertices.\n",
+    "    addEdge(fromVert, toVert, weight) Adds a new, weighted, directed edge to the graph that connects two vertices.\n",
+    "    getVertex(vertKey) finds the vertex in the graph named vertKey.\n",
+    "    getVertices() returns the list of all vertices in the graph.\n",
+    "    in returns True for a statement of the form vertex in graph, if the given vertex is in the graph, False otherwise.\n",
+    "    '''\n",
+    "    def __init__(self):\n",
+    "#         self.nodes = set() # all the vertexes in the graph -- could be done in the edges part\n",
+    "        self.connections = {} # all the connections start_vertex:{end_vertex:weigth}\n",
+    "        \n",
+    "#     def add_node(self, node):\n",
+    "#         self.nodes.add(node)\n",
+    "    \n",
+    "    def contains(self, v):\n",
+    "        return v in self.connections.keys()\n",
+    "        \n",
+    "    def connect(self, start, end, weight=1):\n",
+    "#         v = self.get_vertex(str(from_vertex)) or Vertex(str(from_vertex))\n",
+    "        if start not in self.connections:\n",
+    "            self.connections[start] = {end:weight} \n",
+    "        else:\n",
+    "            self.connections[start][end] = weight\n",
+    "            \n",
+    "        if end not in self.connections:\n",
+    "            self.connections[end] = {}\n",
+    "\n",
+    "    def get_nodes(self):\n",
+    "        return self.connections.keys()\n",
+    "        \n",
+    "#     assume there is one and only one start node (no one points to it) in the directed graph\n",
+    "    def get_start_vertex(self):\n",
+    "        cadidates = set(self.get_nodes())\n",
+    "        for end in self.connections.values():\n",
+    "            for k in end.keys():\n",
+    "                if k in cadidates:\n",
+    "                    cadidates.remove(k)\n",
+    "#         return set(self.get_nodes()) - set(end_nodes)\n",
+    "        return cadidates\n",
+    "        \n",
+    "    def paint(self):\n",
+    "        print(self.connections)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "g = Graph()\n",
+    "# v1 = Node(1)\n",
+    "g.connect(1, 2)\n",
+    "\n",
+    "g.connect(1,3)\n",
+    "g.connect(1,4)\n",
+    "g.connect(2,4)\n",
+    "g.connect(2,5)\n",
+    "g.connect(3,5)\n",
+    "g.connect(5,4)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{1: {2: 1, 3: 1, 4: 1}, 2: {4: 1, 5: 1}, 3: {5: 1}, 4: {}, 5: {4: 1}}\n"
+     ]
+    }
+   ],
+   "source": [
+    "g.paint()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "dict_keys([1, 2, 3, 4, 5])"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "g.get_nodes()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{1}"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "g.get_start_vertex()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "set"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "type(g.get_start_vertex())"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "s = set([1,2,3])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{1, 2, 3}"
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "s"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Good Luck!"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 1
+}
diff --git a/08-Graphs/Graph Interview Questions - PRACTICE/02-Implement Depth First Search Algorithm.ipynb b/08-Graphs/Graph Interview Questions - PRACTICE/02-Implement Depth First Search Algorithm.ipynb
new file mode 100644
index 00000000..7cafeefe
--- /dev/null
+++ b/08-Graphs/Graph Interview Questions - PRACTICE/02-Implement Depth First Search Algorithm.ipynb	
@@ -0,0 +1,60 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Implement a Depth First Search Algorithm"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "For this problem, implement a DFS Algorithm! You can assume that the graph is in the simplified form:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "graph = {'A': set(['B', 'C']),\n",
+    "         'B': set(['A', 'D', 'E']),\n",
+    "         'C': set(['A', 'F']),\n",
+    "         'D': set(['B']),\n",
+    "         'E': set(['B', 'F']),\n",
+    "         'F': set(['C', 'E'])}"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Good Luck!"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 1
+}
diff --git a/Graphs/Graph Interview Questions - PRACTICE/Implement Breadth First Search Algorithm.ipynb b/08-Graphs/Graph Interview Questions - PRACTICE/03-Implement Breadth First Search Algorithm.ipynb
similarity index 94%
rename from Graphs/Graph Interview Questions - PRACTICE/Implement Breadth First Search Algorithm.ipynb
rename to 08-Graphs/Graph Interview Questions - PRACTICE/03-Implement Breadth First Search Algorithm.ipynb
index 039d98f3..d378be4a 100644
--- a/Graphs/Graph Interview Questions - PRACTICE/Implement Breadth First Search Algorithm.ipynb	
+++ b/08-Graphs/Graph Interview Questions - PRACTICE/03-Implement Breadth First Search Algorithm.ipynb	
@@ -40,9 +40,9 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
@@ -58,5 +58,5 @@
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Graphs/Graph Interview Questions/Implement a Graph.ipynb b/08-Graphs/Graph Interview Questions/.ipynb_checkpoints/01-Implement a Graph-checkpoint.ipynb
similarity index 83%
rename from Graphs/Graph Interview Questions/Implement a Graph.ipynb
rename to 08-Graphs/Graph Interview Questions/.ipynb_checkpoints/01-Implement a Graph-checkpoint.ipynb
index b6362791..cec7b0d3 100644
--- a/Graphs/Graph Interview Questions/Implement a Graph.ipynb	
+++ b/08-Graphs/Graph Interview Questions/.ipynb_checkpoints/01-Implement a Graph-checkpoint.ipynb	
@@ -23,23 +23,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.11"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Graphs/Graph Interview Questions/.ipynb_checkpoints/Implement Depth First Search Algorithm-checkpoint.ipynb b/08-Graphs/Graph Interview Questions/.ipynb_checkpoints/02-Implement Depth First Search Algorithm-checkpoint.ipynb
similarity index 88%
rename from Graphs/Graph Interview Questions/.ipynb_checkpoints/Implement Depth First Search Algorithm-checkpoint.ipynb
rename to 08-Graphs/Graph Interview Questions/.ipynb_checkpoints/02-Implement Depth First Search Algorithm-checkpoint.ipynb
index 94da601e..a7a98ac6 100644
--- a/Graphs/Graph Interview Questions/.ipynb_checkpoints/Implement Depth First Search Algorithm-checkpoint.ipynb	
+++ b/08-Graphs/Graph Interview Questions/.ipynb_checkpoints/02-Implement Depth First Search Algorithm-checkpoint.ipynb	
@@ -40,23 +40,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.11"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Graphs/Graph Interview Questions/Implement Breadth First Search Algorithm.ipynb b/08-Graphs/Graph Interview Questions/.ipynb_checkpoints/03-Implement Breadth First Search Algorithm-checkpoint.ipynb
similarity index 98%
rename from Graphs/Graph Interview Questions/Implement Breadth First Search Algorithm.ipynb
rename to 08-Graphs/Graph Interview Questions/.ipynb_checkpoints/03-Implement Breadth First Search Algorithm-checkpoint.ipynb
index 55bd824b..b9ded929 100644
--- a/Graphs/Graph Interview Questions/Implement Breadth First Search Algorithm.ipynb	
+++ b/08-Graphs/Graph Interview Questions/.ipynb_checkpoints/03-Implement Breadth First Search Algorithm-checkpoint.ipynb	
@@ -54,7 +54,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.3"
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
diff --git a/Graphs/Graph Interview Questions - PRACTICE/.ipynb_checkpoints/Implement a Graph-checkpoint.ipynb b/08-Graphs/Graph Interview Questions/01-Implement a Graph.ipynb
similarity index 83%
rename from Graphs/Graph Interview Questions - PRACTICE/.ipynb_checkpoints/Implement a Graph-checkpoint.ipynb
rename to 08-Graphs/Graph Interview Questions/01-Implement a Graph.ipynb
index b6362791..cec7b0d3 100644
--- a/Graphs/Graph Interview Questions - PRACTICE/.ipynb_checkpoints/Implement a Graph-checkpoint.ipynb	
+++ b/08-Graphs/Graph Interview Questions/01-Implement a Graph.ipynb	
@@ -23,23 +23,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.11"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Graphs/Graph Interview Questions - PRACTICE/.ipynb_checkpoints/Implement Depth First Search Algorithm-checkpoint.ipynb b/08-Graphs/Graph Interview Questions/02-Implement Depth First Search Algorithm.ipynb
similarity index 88%
rename from Graphs/Graph Interview Questions - PRACTICE/.ipynb_checkpoints/Implement Depth First Search Algorithm-checkpoint.ipynb
rename to 08-Graphs/Graph Interview Questions/02-Implement Depth First Search Algorithm.ipynb
index 94da601e..a7a98ac6 100644
--- a/Graphs/Graph Interview Questions - PRACTICE/.ipynb_checkpoints/Implement Depth First Search Algorithm-checkpoint.ipynb	
+++ b/08-Graphs/Graph Interview Questions/02-Implement Depth First Search Algorithm.ipynb	
@@ -40,23 +40,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.11"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Graphs/Graph Interview Questions - PRACTICE/.ipynb_checkpoints/Implement Breadth First Search Algorithm-checkpoint.ipynb b/08-Graphs/Graph Interview Questions/03-Implement Breadth First Search Algorithm.ipynb
similarity index 88%
rename from Graphs/Graph Interview Questions - PRACTICE/.ipynb_checkpoints/Implement Breadth First Search Algorithm-checkpoint.ipynb
rename to 08-Graphs/Graph Interview Questions/03-Implement Breadth First Search Algorithm.ipynb
index 039d98f3..b9ded929 100644
--- a/Graphs/Graph Interview Questions - PRACTICE/.ipynb_checkpoints/Implement Breadth First Search Algorithm-checkpoint.ipynb	
+++ b/08-Graphs/Graph Interview Questions/03-Implement Breadth First Search Algorithm.ipynb	
@@ -40,23 +40,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.11"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Graphs/words.txt b/08-Graphs/words.txt
similarity index 100%
rename from Graphs/words.txt
rename to 08-Graphs/words.txt
diff --git a/Riddles/.ipynb_checkpoints/How to Approach Riddles-checkpoint.ipynb b/09-Riddles/.ipynb_checkpoints/01-How to Approach Riddles-checkpoint.ipynb
similarity index 77%
rename from Riddles/.ipynb_checkpoints/How to Approach Riddles-checkpoint.ipynb
rename to 09-Riddles/.ipynb_checkpoints/01-How to Approach Riddles-checkpoint.ipynb
index 6d3eb2cd..f26fc8bc 100644
--- a/Riddles/.ipynb_checkpoints/How to Approach Riddles-checkpoint.ipynb	
+++ b/09-Riddles/.ipynb_checkpoints/01-How to Approach Riddles-checkpoint.ipynb	
@@ -12,23 +12,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.11"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Riddles/How to Approach Riddles.ipynb b/09-Riddles/01-How to Approach Riddles.ipynb
similarity index 77%
rename from Riddles/How to Approach Riddles.ipynb
rename to 09-Riddles/01-How to Approach Riddles.ipynb
index 6d3eb2cd..f26fc8bc 100644
--- a/Riddles/How to Approach Riddles.ipynb	
+++ b/09-Riddles/01-How to Approach Riddles.ipynb	
@@ -12,23 +12,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.11"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Riddles/Riddle Interview Problems/Riddle Interview Problems - SOLUTIONS/Bridge Crossing - SOLUTION.ipynb b/09-Riddles/Riddle Interview Problems/Riddle Interview Problems - SOLUTIONS/.ipynb_checkpoints/01-Bridge Crossing - SOLUTION-checkpoint.ipynb
similarity index 98%
rename from Riddles/Riddle Interview Problems/Riddle Interview Problems - SOLUTIONS/Bridge Crossing - SOLUTION.ipynb
rename to 09-Riddles/Riddle Interview Problems/Riddle Interview Problems - SOLUTIONS/.ipynb_checkpoints/01-Bridge Crossing - SOLUTION-checkpoint.ipynb
index 1a330257..babeb820 100644
--- a/Riddles/Riddle Interview Problems/Riddle Interview Problems - SOLUTIONS/Bridge Crossing - SOLUTION.ipynb	
+++ b/09-Riddles/Riddle Interview Problems/Riddle Interview Problems - SOLUTIONS/.ipynb_checkpoints/01-Bridge Crossing - SOLUTION-checkpoint.ipynb	
@@ -58,7 +58,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.3"
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
diff --git a/Riddles/Riddle Interview Problems/Riddle Interview Problems - SOLUTIONS/.ipynb_checkpoints/Coins and a Scale - SOLUTION-checkpoint.ipynb b/09-Riddles/Riddle Interview Problems/Riddle Interview Problems - SOLUTIONS/.ipynb_checkpoints/02-Coins and a Scale - SOLUTION-checkpoint.ipynb
similarity index 91%
rename from Riddles/Riddle Interview Problems/Riddle Interview Problems - SOLUTIONS/.ipynb_checkpoints/Coins and a Scale - SOLUTION-checkpoint.ipynb
rename to 09-Riddles/Riddle Interview Problems/Riddle Interview Problems - SOLUTIONS/.ipynb_checkpoints/02-Coins and a Scale - SOLUTION-checkpoint.ipynb
index dd6ce0ad..ab9c39c7 100644
--- a/Riddles/Riddle Interview Problems/Riddle Interview Problems - SOLUTIONS/.ipynb_checkpoints/Coins and a Scale - SOLUTION-checkpoint.ipynb	
+++ b/09-Riddles/Riddle Interview Problems/Riddle Interview Problems - SOLUTIONS/.ipynb_checkpoints/02-Coins and a Scale - SOLUTION-checkpoint.ipynb	
@@ -17,23 +17,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.11"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Riddles/Riddle Interview Problems/Riddle Interview Problems - SOLUTIONS/Egg Drop - SOLUTION.ipynb b/09-Riddles/Riddle Interview Problems/Riddle Interview Problems - SOLUTIONS/.ipynb_checkpoints/03-Egg Drop - SOLUTION-checkpoint.ipynb
similarity index 99%
rename from Riddles/Riddle Interview Problems/Riddle Interview Problems - SOLUTIONS/Egg Drop - SOLUTION.ipynb
rename to 09-Riddles/Riddle Interview Problems/Riddle Interview Problems - SOLUTIONS/.ipynb_checkpoints/03-Egg Drop - SOLUTION-checkpoint.ipynb
index 2546a3db..0e19d09e 100644
--- a/Riddles/Riddle Interview Problems/Riddle Interview Problems - SOLUTIONS/Egg Drop - SOLUTION.ipynb	
+++ b/09-Riddles/Riddle Interview Problems/Riddle Interview Problems - SOLUTIONS/.ipynb_checkpoints/03-Egg Drop - SOLUTION-checkpoint.ipynb	
@@ -65,7 +65,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.3"
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
diff --git a/Riddles/Riddle Interview Problems/Riddle Interview Problems - SOLUTIONS/Hallway Lockers -SOLUTION.ipynb b/09-Riddles/Riddle Interview Problems/Riddle Interview Problems - SOLUTIONS/.ipynb_checkpoints/04-Hallway Lockers -SOLUTION-checkpoint.ipynb
similarity index 96%
rename from Riddles/Riddle Interview Problems/Riddle Interview Problems - SOLUTIONS/Hallway Lockers -SOLUTION.ipynb
rename to 09-Riddles/Riddle Interview Problems/Riddle Interview Problems - SOLUTIONS/.ipynb_checkpoints/04-Hallway Lockers -SOLUTION-checkpoint.ipynb
index 3e7b54f7..a51dc1b4 100644
--- a/Riddles/Riddle Interview Problems/Riddle Interview Problems - SOLUTIONS/Hallway Lockers -SOLUTION.ipynb	
+++ b/09-Riddles/Riddle Interview Problems/Riddle Interview Problems - SOLUTIONS/.ipynb_checkpoints/04-Hallway Lockers -SOLUTION-checkpoint.ipynb	
@@ -41,23 +41,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.11"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/09-Riddles/Riddle Interview Problems/Riddle Interview Problems - SOLUTIONS/.ipynb_checkpoints/05-Jugs of Water - SOLUTION-checkpoint.ipynb b/09-Riddles/Riddle Interview Problems/Riddle Interview Problems - SOLUTIONS/.ipynb_checkpoints/05-Jugs of Water - SOLUTION-checkpoint.ipynb
new file mode 100644
index 00000000..a5577345
--- /dev/null
+++ b/09-Riddles/Riddle Interview Problems/Riddle Interview Problems - SOLUTIONS/.ipynb_checkpoints/05-Jugs of Water - SOLUTION-checkpoint.ipynb	
@@ -0,0 +1,110 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Jugs of Water - SOLUTION\n",
+    "## Problem Statement\n",
+    "\n",
+    "You have a five gallons jug and a three gallons jug, and an unlimited supply of water (but no measuring cups) How would you come up with exactly four gallons of water?\n",
+    "\n",
+    "## Solution\n",
+    "\n",
+    "This problem has a cameo in the movie Die Hard 3. The solution is below:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<img src=\"http://mindyourdecisions.com/blog/wp-content/uploads/2013/02/water-jug-riddle-1.png/"/>"
+      ],
+      "text/plain": [
+       "<IPython.core.display.Image object>"
+      ]
+     },
+     "execution_count": 1,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "from IPython.display import Image\n",
+    "Image(url='http://mindyourdecisions.com/blog/wp-content/uploads/2013/02/water-jug-riddle-1.png')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Hopefully your interviews are not as stressful as this:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/jpeg": "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\n",
+      "text/html": [
+       "\n",
+       "        <iframe\n",
+       "            width=\"400\"\n",
+       "            height=\"300\"\n",
+       "            src=\"https://www.youtube.com/embed/BVtQNK_ZUJg/"\n",
+       "            frameborder=\"0\"\n",
+       "            allowfullscreen\n",
+       "        ></iframe>\n",
+       "        "
+      ],
+      "text/plain": [
+       "<IPython.lib.display.YouTubeVideo at 0x7f70f0491550>"
+      ]
+     },
+     "execution_count": 2,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "from IPython.display import YouTubeVideo\n",
+    "YouTubeVideo('BVtQNK_ZUJg')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Yippee Ki Yay"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 1
+}
diff --git a/Riddles/Riddle Interview Problems/Riddle Interview Problems - SOLUTIONS/Light Switches - SOLUTION.ipynb b/09-Riddles/Riddle Interview Problems/Riddle Interview Problems - SOLUTIONS/.ipynb_checkpoints/06-Light Switches - SOLUTION-checkpoint.ipynb
similarity index 91%
rename from Riddles/Riddle Interview Problems/Riddle Interview Problems - SOLUTIONS/Light Switches - SOLUTION.ipynb
rename to 09-Riddles/Riddle Interview Problems/Riddle Interview Problems - SOLUTIONS/.ipynb_checkpoints/06-Light Switches - SOLUTION-checkpoint.ipynb
index f06d5f7d..aac7e69d 100644
--- a/Riddles/Riddle Interview Problems/Riddle Interview Problems - SOLUTIONS/Light Switches - SOLUTION.ipynb	
+++ b/09-Riddles/Riddle Interview Problems/Riddle Interview Problems - SOLUTIONS/.ipynb_checkpoints/06-Light Switches - SOLUTION-checkpoint.ipynb	
@@ -25,23 +25,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.11"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Riddles/Riddle Interview Problems/Riddle Interview Problems - SOLUTIONS/Ropes Burning - SOLUTION.ipynb b/09-Riddles/Riddle Interview Problems/Riddle Interview Problems - SOLUTIONS/.ipynb_checkpoints/07-Ropes Burning - SOLUTION-checkpoint.ipynb
similarity index 88%
rename from Riddles/Riddle Interview Problems/Riddle Interview Problems - SOLUTIONS/Ropes Burning - SOLUTION.ipynb
rename to 09-Riddles/Riddle Interview Problems/Riddle Interview Problems - SOLUTIONS/.ipynb_checkpoints/07-Ropes Burning - SOLUTION-checkpoint.ipynb
index a4473f76..182865ea 100644
--- a/Riddles/Riddle Interview Problems/Riddle Interview Problems - SOLUTIONS/Ropes Burning - SOLUTION.ipynb	
+++ b/09-Riddles/Riddle Interview Problems/Riddle Interview Problems - SOLUTIONS/.ipynb_checkpoints/07-Ropes Burning - SOLUTION-checkpoint.ipynb	
@@ -27,23 +27,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.11"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Riddles/Riddle Interview Problems/Riddle Interview Problems - SOLUTIONS/.ipynb_checkpoints/Bridge Crossing - SOLUTION-checkpoint.ipynb b/09-Riddles/Riddle Interview Problems/Riddle Interview Problems - SOLUTIONS/01-Bridge Crossing - SOLUTION.ipynb
similarity index 93%
rename from Riddles/Riddle Interview Problems/Riddle Interview Problems - SOLUTIONS/.ipynb_checkpoints/Bridge Crossing - SOLUTION-checkpoint.ipynb
rename to 09-Riddles/Riddle Interview Problems/Riddle Interview Problems - SOLUTIONS/01-Bridge Crossing - SOLUTION.ipynb
index 6932931a..babeb820 100644
--- a/Riddles/Riddle Interview Problems/Riddle Interview Problems - SOLUTIONS/.ipynb_checkpoints/Bridge Crossing - SOLUTION-checkpoint.ipynb	
+++ b/09-Riddles/Riddle Interview Problems/Riddle Interview Problems - SOLUTIONS/01-Bridge Crossing - SOLUTION.ipynb	
@@ -44,23 +44,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.11"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Riddles/Riddle Interview Problems/Riddle Interview Problems - SOLUTIONS/Coins and a Scale - SOLUTION.ipynb b/09-Riddles/Riddle Interview Problems/Riddle Interview Problems - SOLUTIONS/02-Coins and a Scale - SOLUTION.ipynb
similarity index 91%
rename from Riddles/Riddle Interview Problems/Riddle Interview Problems - SOLUTIONS/Coins and a Scale - SOLUTION.ipynb
rename to 09-Riddles/Riddle Interview Problems/Riddle Interview Problems - SOLUTIONS/02-Coins and a Scale - SOLUTION.ipynb
index dd6ce0ad..ab9c39c7 100644
--- a/Riddles/Riddle Interview Problems/Riddle Interview Problems - SOLUTIONS/Coins and a Scale - SOLUTION.ipynb	
+++ b/09-Riddles/Riddle Interview Problems/Riddle Interview Problems - SOLUTIONS/02-Coins and a Scale - SOLUTION.ipynb	
@@ -17,23 +17,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.11"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Riddles/Riddle Interview Problems/Riddle Interview Problems - SOLUTIONS/.ipynb_checkpoints/Egg Drop - SOLUTION-checkpoint.ipynb b/09-Riddles/Riddle Interview Problems/Riddle Interview Problems - SOLUTIONS/03-Egg Drop - SOLUTION.ipynb
similarity index 95%
rename from Riddles/Riddle Interview Problems/Riddle Interview Problems - SOLUTIONS/.ipynb_checkpoints/Egg Drop - SOLUTION-checkpoint.ipynb
rename to 09-Riddles/Riddle Interview Problems/Riddle Interview Problems - SOLUTIONS/03-Egg Drop - SOLUTION.ipynb
index 3a39349e..0e19d09e 100644
--- a/Riddles/Riddle Interview Problems/Riddle Interview Problems - SOLUTIONS/.ipynb_checkpoints/Egg Drop - SOLUTION-checkpoint.ipynb	
+++ b/09-Riddles/Riddle Interview Problems/Riddle Interview Problems - SOLUTIONS/03-Egg Drop - SOLUTION.ipynb	
@@ -51,23 +51,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.11"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Riddles/Riddle Interview Problems/Riddle Interview Problems - SOLUTIONS/.ipynb_checkpoints/Hallway Lockers -SOLUTION-checkpoint.ipynb b/09-Riddles/Riddle Interview Problems/Riddle Interview Problems - SOLUTIONS/04-Hallway Lockers -SOLUTION.ipynb
similarity index 96%
rename from Riddles/Riddle Interview Problems/Riddle Interview Problems - SOLUTIONS/.ipynb_checkpoints/Hallway Lockers -SOLUTION-checkpoint.ipynb
rename to 09-Riddles/Riddle Interview Problems/Riddle Interview Problems - SOLUTIONS/04-Hallway Lockers -SOLUTION.ipynb
index 3e7b54f7..a51dc1b4 100644
--- a/Riddles/Riddle Interview Problems/Riddle Interview Problems - SOLUTIONS/.ipynb_checkpoints/Hallway Lockers -SOLUTION-checkpoint.ipynb	
+++ b/09-Riddles/Riddle Interview Problems/Riddle Interview Problems - SOLUTIONS/04-Hallway Lockers -SOLUTION.ipynb	
@@ -41,23 +41,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.11"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/09-Riddles/Riddle Interview Problems/Riddle Interview Problems - SOLUTIONS/05-Jugs of Water - SOLUTION.ipynb b/09-Riddles/Riddle Interview Problems/Riddle Interview Problems - SOLUTIONS/05-Jugs of Water - SOLUTION.ipynb
new file mode 100644
index 00000000..a5577345
--- /dev/null
+++ b/09-Riddles/Riddle Interview Problems/Riddle Interview Problems - SOLUTIONS/05-Jugs of Water - SOLUTION.ipynb	
@@ -0,0 +1,110 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Jugs of Water - SOLUTION\n",
+    "## Problem Statement\n",
+    "\n",
+    "You have a five gallons jug and a three gallons jug, and an unlimited supply of water (but no measuring cups) How would you come up with exactly four gallons of water?\n",
+    "\n",
+    "## Solution\n",
+    "\n",
+    "This problem has a cameo in the movie Die Hard 3. The solution is below:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<img src=\"http://mindyourdecisions.com/blog/wp-content/uploads/2013/02/water-jug-riddle-1.png/"/>"
+      ],
+      "text/plain": [
+       "<IPython.core.display.Image object>"
+      ]
+     },
+     "execution_count": 1,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "from IPython.display import Image\n",
+    "Image(url='http://mindyourdecisions.com/blog/wp-content/uploads/2013/02/water-jug-riddle-1.png')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Hopefully your interviews are not as stressful as this:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/jpeg": "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\n",
+      "text/html": [
+       "\n",
+       "        <iframe\n",
+       "            width=\"400\"\n",
+       "            height=\"300\"\n",
+       "            src=\"https://www.youtube.com/embed/BVtQNK_ZUJg/"\n",
+       "            frameborder=\"0\"\n",
+       "            allowfullscreen\n",
+       "        ></iframe>\n",
+       "        "
+      ],
+      "text/plain": [
+       "<IPython.lib.display.YouTubeVideo at 0x7f70f0491550>"
+      ]
+     },
+     "execution_count": 2,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "from IPython.display import YouTubeVideo\n",
+    "YouTubeVideo('BVtQNK_ZUJg')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Yippee Ki Yay"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 1
+}
diff --git a/Riddles/Riddle Interview Problems/Riddle Interview Problems - SOLUTIONS/.ipynb_checkpoints/Light Switches - SOLUTION-checkpoint.ipynb b/09-Riddles/Riddle Interview Problems/Riddle Interview Problems - SOLUTIONS/06-Light Switches - SOLUTION.ipynb
similarity index 91%
rename from Riddles/Riddle Interview Problems/Riddle Interview Problems - SOLUTIONS/.ipynb_checkpoints/Light Switches - SOLUTION-checkpoint.ipynb
rename to 09-Riddles/Riddle Interview Problems/Riddle Interview Problems - SOLUTIONS/06-Light Switches - SOLUTION.ipynb
index f06d5f7d..aac7e69d 100644
--- a/Riddles/Riddle Interview Problems/Riddle Interview Problems - SOLUTIONS/.ipynb_checkpoints/Light Switches - SOLUTION-checkpoint.ipynb	
+++ b/09-Riddles/Riddle Interview Problems/Riddle Interview Problems - SOLUTIONS/06-Light Switches - SOLUTION.ipynb	
@@ -25,23 +25,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.11"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Riddles/Riddle Interview Problems/Riddle Interview Problems - SOLUTIONS/.ipynb_checkpoints/Ropes Burning - SOLUTION-checkpoint.ipynb b/09-Riddles/Riddle Interview Problems/Riddle Interview Problems - SOLUTIONS/07-Ropes Burning - SOLUTION.ipynb
similarity index 88%
rename from Riddles/Riddle Interview Problems/Riddle Interview Problems - SOLUTIONS/.ipynb_checkpoints/Ropes Burning - SOLUTION-checkpoint.ipynb
rename to 09-Riddles/Riddle Interview Problems/Riddle Interview Problems - SOLUTIONS/07-Ropes Burning - SOLUTION.ipynb
index a4473f76..182865ea 100644
--- a/Riddles/Riddle Interview Problems/Riddle Interview Problems - SOLUTIONS/.ipynb_checkpoints/Ropes Burning - SOLUTION-checkpoint.ipynb	
+++ b/09-Riddles/Riddle Interview Problems/Riddle Interview Problems - SOLUTIONS/07-Ropes Burning - SOLUTION.ipynb	
@@ -27,23 +27,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.11"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Riddles/Riddle Interview Problems/Riddle Interview Problems /.ipynb_checkpoints/Bridge Crossing-checkpoint.ipynb b/09-Riddles/Riddle Interview Problems/Riddle Interview Problems /.ipynb_checkpoints/01-Bridge Crossing-checkpoint.ipynb
similarity index 89%
rename from Riddles/Riddle Interview Problems/Riddle Interview Problems /.ipynb_checkpoints/Bridge Crossing-checkpoint.ipynb
rename to 09-Riddles/Riddle Interview Problems/Riddle Interview Problems /.ipynb_checkpoints/01-Bridge Crossing-checkpoint.ipynb
index 405b8032..bf2f5ac0 100644
--- a/Riddles/Riddle Interview Problems/Riddle Interview Problems /.ipynb_checkpoints/Bridge Crossing-checkpoint.ipynb	
+++ b/09-Riddles/Riddle Interview Problems/Riddle Interview Problems /.ipynb_checkpoints/01-Bridge Crossing-checkpoint.ipynb	
@@ -24,23 +24,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.11"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Riddles/Riddle Interview Problems/Riddle Interview Problems /Coins and a Scale .ipynb b/09-Riddles/Riddle Interview Problems/Riddle Interview Problems /.ipynb_checkpoints/02-Coins and a Scale -checkpoint.ipynb
similarity index 84%
rename from Riddles/Riddle Interview Problems/Riddle Interview Problems /Coins and a Scale .ipynb
rename to 09-Riddles/Riddle Interview Problems/Riddle Interview Problems /.ipynb_checkpoints/02-Coins and a Scale -checkpoint.ipynb
index 15461219..fc651052 100644
--- a/Riddles/Riddle Interview Problems/Riddle Interview Problems /Coins and a Scale .ipynb	
+++ b/09-Riddles/Riddle Interview Problems/Riddle Interview Problems /.ipynb_checkpoints/02-Coins and a Scale -checkpoint.ipynb	
@@ -13,23 +13,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.11"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Riddles/Riddle Interview Problems/Riddle Interview Problems /.ipynb_checkpoints/Egg Drop -checkpoint.ipynb b/09-Riddles/Riddle Interview Problems/Riddle Interview Problems /.ipynb_checkpoints/03-Egg Drop -checkpoint.ipynb
similarity index 89%
rename from Riddles/Riddle Interview Problems/Riddle Interview Problems /.ipynb_checkpoints/Egg Drop -checkpoint.ipynb
rename to 09-Riddles/Riddle Interview Problems/Riddle Interview Problems /.ipynb_checkpoints/03-Egg Drop -checkpoint.ipynb
index cbe1be74..4b9a3c20 100644
--- a/Riddles/Riddle Interview Problems/Riddle Interview Problems /.ipynb_checkpoints/Egg Drop -checkpoint.ipynb	
+++ b/09-Riddles/Riddle Interview Problems/Riddle Interview Problems /.ipynb_checkpoints/03-Egg Drop -checkpoint.ipynb	
@@ -16,23 +16,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.11"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Riddles/Riddle Interview Problems/Riddle Interview Problems /Hallway Lockers.ipynb b/09-Riddles/Riddle Interview Problems/Riddle Interview Problems /.ipynb_checkpoints/04-Hallway Lockers-checkpoint.ipynb
similarity index 87%
rename from Riddles/Riddle Interview Problems/Riddle Interview Problems /Hallway Lockers.ipynb
rename to 09-Riddles/Riddle Interview Problems/Riddle Interview Problems /.ipynb_checkpoints/04-Hallway Lockers-checkpoint.ipynb
index 402bfffd..8495c76f 100644
--- a/Riddles/Riddle Interview Problems/Riddle Interview Problems /Hallway Lockers.ipynb	
+++ b/09-Riddles/Riddle Interview Problems/Riddle Interview Problems /.ipynb_checkpoints/04-Hallway Lockers-checkpoint.ipynb	
@@ -13,23 +13,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.11"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Riddles/Riddle Interview Problems/Riddle Interview Problems /.ipynb_checkpoints/Jugs of Water -checkpoint.ipynb b/09-Riddles/Riddle Interview Problems/Riddle Interview Problems /.ipynb_checkpoints/05-Jugs of Water -checkpoint.ipynb
similarity index 80%
rename from Riddles/Riddle Interview Problems/Riddle Interview Problems /.ipynb_checkpoints/Jugs of Water -checkpoint.ipynb
rename to 09-Riddles/Riddle Interview Problems/Riddle Interview Problems /.ipynb_checkpoints/05-Jugs of Water -checkpoint.ipynb
index 727614de..878051e3 100644
--- a/Riddles/Riddle Interview Problems/Riddle Interview Problems /.ipynb_checkpoints/Jugs of Water -checkpoint.ipynb	
+++ b/09-Riddles/Riddle Interview Problems/Riddle Interview Problems /.ipynb_checkpoints/05-Jugs of Water -checkpoint.ipynb	
@@ -13,23 +13,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.11"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Riddles/Riddle Interview Problems/Riddle Interview Problems /.ipynb_checkpoints/Light Switches -checkpoint.ipynb b/09-Riddles/Riddle Interview Problems/Riddle Interview Problems /.ipynb_checkpoints/06-Light Switches -checkpoint.ipynb
similarity index 86%
rename from Riddles/Riddle Interview Problems/Riddle Interview Problems /.ipynb_checkpoints/Light Switches -checkpoint.ipynb
rename to 09-Riddles/Riddle Interview Problems/Riddle Interview Problems /.ipynb_checkpoints/06-Light Switches -checkpoint.ipynb
index b3b8995a..2d68143c 100644
--- a/Riddles/Riddle Interview Problems/Riddle Interview Problems /.ipynb_checkpoints/Light Switches -checkpoint.ipynb	
+++ b/09-Riddles/Riddle Interview Problems/Riddle Interview Problems /.ipynb_checkpoints/06-Light Switches -checkpoint.ipynb	
@@ -15,23 +15,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.11"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Riddles/Riddle Interview Problems/Riddle Interview Problems /Ropes Burning.ipynb b/09-Riddles/Riddle Interview Problems/Riddle Interview Problems /.ipynb_checkpoints/07-Ropes Burning-checkpoint.ipynb
similarity index 83%
rename from Riddles/Riddle Interview Problems/Riddle Interview Problems /Ropes Burning.ipynb
rename to 09-Riddles/Riddle Interview Problems/Riddle Interview Problems /.ipynb_checkpoints/07-Ropes Burning-checkpoint.ipynb
index c9f81f96..6dd17500 100644
--- a/Riddles/Riddle Interview Problems/Riddle Interview Problems /Ropes Burning.ipynb	
+++ b/09-Riddles/Riddle Interview Problems/Riddle Interview Problems /.ipynb_checkpoints/07-Ropes Burning-checkpoint.ipynb	
@@ -17,23 +17,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.11"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Riddles/Riddle Interview Problems/Riddle Interview Problems /Bridge Crossing.ipynb b/09-Riddles/Riddle Interview Problems/Riddle Interview Problems /01-Bridge Crossing.ipynb
similarity index 89%
rename from Riddles/Riddle Interview Problems/Riddle Interview Problems /Bridge Crossing.ipynb
rename to 09-Riddles/Riddle Interview Problems/Riddle Interview Problems /01-Bridge Crossing.ipynb
index 405b8032..bf2f5ac0 100644
--- a/Riddles/Riddle Interview Problems/Riddle Interview Problems /Bridge Crossing.ipynb	
+++ b/09-Riddles/Riddle Interview Problems/Riddle Interview Problems /01-Bridge Crossing.ipynb	
@@ -24,23 +24,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.11"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Riddles/Riddle Interview Problems/Riddle Interview Problems /.ipynb_checkpoints/Coins and a Scale -checkpoint.ipynb b/09-Riddles/Riddle Interview Problems/Riddle Interview Problems /02-Coins and a Scale .ipynb
similarity index 84%
rename from Riddles/Riddle Interview Problems/Riddle Interview Problems /.ipynb_checkpoints/Coins and a Scale -checkpoint.ipynb
rename to 09-Riddles/Riddle Interview Problems/Riddle Interview Problems /02-Coins and a Scale .ipynb
index 15461219..fc651052 100644
--- a/Riddles/Riddle Interview Problems/Riddle Interview Problems /.ipynb_checkpoints/Coins and a Scale -checkpoint.ipynb	
+++ b/09-Riddles/Riddle Interview Problems/Riddle Interview Problems /02-Coins and a Scale .ipynb	
@@ -13,23 +13,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.11"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Riddles/Riddle Interview Problems/Riddle Interview Problems /Egg Drop .ipynb b/09-Riddles/Riddle Interview Problems/Riddle Interview Problems /03-Egg Drop .ipynb
similarity index 89%
rename from Riddles/Riddle Interview Problems/Riddle Interview Problems /Egg Drop .ipynb
rename to 09-Riddles/Riddle Interview Problems/Riddle Interview Problems /03-Egg Drop .ipynb
index cbe1be74..4b9a3c20 100644
--- a/Riddles/Riddle Interview Problems/Riddle Interview Problems /Egg Drop .ipynb	
+++ b/09-Riddles/Riddle Interview Problems/Riddle Interview Problems /03-Egg Drop .ipynb	
@@ -16,23 +16,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.11"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Riddles/Riddle Interview Problems/Riddle Interview Problems /.ipynb_checkpoints/Hallway Lockers-checkpoint.ipynb b/09-Riddles/Riddle Interview Problems/Riddle Interview Problems /04-Hallway Lockers.ipynb
similarity index 87%
rename from Riddles/Riddle Interview Problems/Riddle Interview Problems /.ipynb_checkpoints/Hallway Lockers-checkpoint.ipynb
rename to 09-Riddles/Riddle Interview Problems/Riddle Interview Problems /04-Hallway Lockers.ipynb
index 402bfffd..8495c76f 100644
--- a/Riddles/Riddle Interview Problems/Riddle Interview Problems /.ipynb_checkpoints/Hallway Lockers-checkpoint.ipynb	
+++ b/09-Riddles/Riddle Interview Problems/Riddle Interview Problems /04-Hallway Lockers.ipynb	
@@ -13,23 +13,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.11"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Riddles/Riddle Interview Problems/Riddle Interview Problems /Jugs of Water .ipynb b/09-Riddles/Riddle Interview Problems/Riddle Interview Problems /05-Jugs of Water .ipynb
similarity index 80%
rename from Riddles/Riddle Interview Problems/Riddle Interview Problems /Jugs of Water .ipynb
rename to 09-Riddles/Riddle Interview Problems/Riddle Interview Problems /05-Jugs of Water .ipynb
index 727614de..878051e3 100644
--- a/Riddles/Riddle Interview Problems/Riddle Interview Problems /Jugs of Water .ipynb	
+++ b/09-Riddles/Riddle Interview Problems/Riddle Interview Problems /05-Jugs of Water .ipynb	
@@ -13,23 +13,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.11"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Riddles/Riddle Interview Problems/Riddle Interview Problems /Light Switches .ipynb b/09-Riddles/Riddle Interview Problems/Riddle Interview Problems /06-Light Switches .ipynb
similarity index 86%
rename from Riddles/Riddle Interview Problems/Riddle Interview Problems /Light Switches .ipynb
rename to 09-Riddles/Riddle Interview Problems/Riddle Interview Problems /06-Light Switches .ipynb
index b3b8995a..2d68143c 100644
--- a/Riddles/Riddle Interview Problems/Riddle Interview Problems /Light Switches .ipynb	
+++ b/09-Riddles/Riddle Interview Problems/Riddle Interview Problems /06-Light Switches .ipynb	
@@ -15,23 +15,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.11"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Riddles/Riddle Interview Problems/Riddle Interview Problems /.ipynb_checkpoints/Ropes Burning-checkpoint.ipynb b/09-Riddles/Riddle Interview Problems/Riddle Interview Problems /07-Ropes Burning.ipynb
similarity index 83%
rename from Riddles/Riddle Interview Problems/Riddle Interview Problems /.ipynb_checkpoints/Ropes Burning-checkpoint.ipynb
rename to 09-Riddles/Riddle Interview Problems/Riddle Interview Problems /07-Ropes Burning.ipynb
index c9f81f96..6dd17500 100644
--- a/Riddles/Riddle Interview Problems/Riddle Interview Problems /.ipynb_checkpoints/Ropes Burning-checkpoint.ipynb	
+++ b/09-Riddles/Riddle Interview Problems/Riddle Interview Problems /07-Ropes Burning.ipynb	
@@ -17,23 +17,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.11"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Mock Interviews/Large E-Commerce Company/E-Commerce Company - Interview Problems - SOLUTIONS/On-Site Question 1 - SOLUTION.ipynb b/10-Mock Interviews/01-Large E-Commerce Company/E-Commerce Company - Interview Problems - SOLUTIONS/.ipynb_checkpoints/01-On-Site Question 1 - SOLUTION-checkpoint.ipynb
similarity index 80%
rename from Mock Interviews/Large E-Commerce Company/E-Commerce Company - Interview Problems - SOLUTIONS/On-Site Question 1 - SOLUTION.ipynb
rename to 10-Mock Interviews/01-Large E-Commerce Company/E-Commerce Company - Interview Problems - SOLUTIONS/.ipynb_checkpoints/01-On-Site Question 1 - SOLUTION-checkpoint.ipynb
index c33d49c1..a1f784f2 100644
--- a/Mock Interviews/Large E-Commerce Company/E-Commerce Company - Interview Problems - SOLUTIONS/On-Site Question 1 - SOLUTION.ipynb	
+++ b/10-Mock Interviews/01-Large E-Commerce Company/E-Commerce Company - Interview Problems - SOLUTIONS/.ipynb_checkpoints/01-On-Site Question 1 - SOLUTION-checkpoint.ipynb	
@@ -46,9 +46,7 @@
   {
    "cell_type": "code",
    "execution_count": 1,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "def profit(stock_prices):\n",
@@ -76,7 +74,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [
     {
@@ -85,7 +83,7 @@
        "39"
       ]
      },
-     "execution_count": 4,
+     "execution_count": 2,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -108,10 +106,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 3,
+   "metadata": {},
    "outputs": [],
    "source": [
     "def profit2(stock_prices):\n",
@@ -151,7 +147,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [
     {
@@ -161,8 +157,8 @@
      "traceback": [
       "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
       "\u001b[0;31mException\u001b[0m                                 Traceback (most recent call last)",
-      "\u001b[0;32m<ipython-input-11-7bd2f0c7e63b>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0;31m# Exception Raised\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m \u001b[0mprofit2\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
-      "\u001b[0;32m<ipython-input-10-e06adf3c45a7>\u001b[0m in \u001b[0;36mprofit2\u001b[0;34m(stock_prices)\u001b[0m\n\u001b[1;32m      3\u001b[0m     \u001b[0;31m# Check length\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      4\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mstock_prices\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m<\u001b[0m \u001b[0;36m2\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 5\u001b[0;31m         \u001b[0;32mraise\u001b[0m \u001b[0mException\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'Need at least two stock prices!'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      6\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      7\u001b[0m     \u001b[0;31m# Start minimum price marker at first price\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m<ipython-input-4-9a864ce32d12>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0;31m# Exception Raised\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m \u001b[0mprofit2\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
+      "\u001b[0;32m<ipython-input-3-7f5f7ac31f2e>\u001b[0m in \u001b[0;36mprofit2\u001b[0;34m(stock_prices)\u001b[0m\n\u001b[1;32m      3\u001b[0m     \u001b[0;31m# Check length\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      4\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mstock_prices\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m<\u001b[0m \u001b[0;36m2\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 5\u001b[0;31m         \u001b[0;32mraise\u001b[0m \u001b[0mException\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'Need at least two stock prices!'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      6\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      7\u001b[0m     \u001b[0;31m# Start minimum price marker at first price\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
       "\u001b[0;31mException\u001b[0m: Need at least two stock prices!"
      ]
     }
@@ -174,7 +170,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [
     {
@@ -183,7 +179,7 @@
        "-1"
       ]
      },
-     "execution_count": 12,
+     "execution_count": 5,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -218,7 +214,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.3"
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
diff --git a/Mock Interviews/Large E-Commerce Company/E-Commerce Company - Interview Problems - SOLUTIONS/On-Site Question 2 - SOLUTION.ipynb b/10-Mock Interviews/01-Large E-Commerce Company/E-Commerce Company - Interview Problems - SOLUTIONS/.ipynb_checkpoints/02-On-Site Question 2 - SOLUTION-checkpoint.ipynb
similarity index 95%
rename from Mock Interviews/Large E-Commerce Company/E-Commerce Company - Interview Problems - SOLUTIONS/On-Site Question 2 - SOLUTION.ipynb
rename to 10-Mock Interviews/01-Large E-Commerce Company/E-Commerce Company - Interview Problems - SOLUTIONS/.ipynb_checkpoints/02-On-Site Question 2 - SOLUTION-checkpoint.ipynb
index ba4352ba..ded3038f 100644
--- a/Mock Interviews/Large E-Commerce Company/E-Commerce Company - Interview Problems - SOLUTIONS/On-Site Question 2 - SOLUTION.ipynb	
+++ b/10-Mock Interviews/01-Large E-Commerce Company/E-Commerce Company - Interview Problems - SOLUTIONS/.ipynb_checkpoints/02-On-Site Question 2 - SOLUTION-checkpoint.ipynb	
@@ -43,10 +43,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 1,
+   "metadata": {},
    "outputs": [],
    "source": [
     "def index_prod(lst):\n",
@@ -89,7 +87,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [
     {
@@ -98,7 +96,7 @@
        "[24, 12, 8, 6]"
       ]
      },
-     "execution_count": 20,
+     "execution_count": 2,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -109,7 +107,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [
     {
@@ -118,7 +116,7 @@
        "[24, 0, 0, 0, 0]"
       ]
      },
-     "execution_count": 21,
+     "execution_count": 3,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -152,7 +150,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.3"
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
diff --git a/Mock Interviews/Large E-Commerce Company/E-Commerce Company - Interview Problems - SOLUTIONS/.ipynb_checkpoints/On-Site Question 3 - SOLUTION-checkpoint.ipynb b/10-Mock Interviews/01-Large E-Commerce Company/E-Commerce Company - Interview Problems - SOLUTIONS/.ipynb_checkpoints/03-On-Site Question 3 - SOLUTION-checkpoint.ipynb
similarity index 91%
rename from Mock Interviews/Large E-Commerce Company/E-Commerce Company - Interview Problems - SOLUTIONS/.ipynb_checkpoints/On-Site Question 3 - SOLUTION-checkpoint.ipynb
rename to 10-Mock Interviews/01-Large E-Commerce Company/E-Commerce Company - Interview Problems - SOLUTIONS/.ipynb_checkpoints/03-On-Site Question 3 - SOLUTION-checkpoint.ipynb
index f3b22b3b..79c21d9b 100644
--- a/Mock Interviews/Large E-Commerce Company/E-Commerce Company - Interview Problems - SOLUTIONS/.ipynb_checkpoints/On-Site Question 3 - SOLUTION-checkpoint.ipynb	
+++ b/10-Mock Interviews/01-Large E-Commerce Company/E-Commerce Company - Interview Problems - SOLUTIONS/.ipynb_checkpoints/03-On-Site Question 3 - SOLUTION-checkpoint.ipynb	
@@ -13,10 +13,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 1,
+   "metadata": {},
    "outputs": [],
    "source": [
     "r1 = {\n",
@@ -69,10 +67,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 2,
+   "metadata": {},
    "outputs": [],
    "source": [
     "def calc_overlap(coor1,dim1,coor2,dim2):\n",
@@ -110,10 +106,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 5,
+   "metadata": {},
    "outputs": [],
    "source": [
     "def calc_rect_overlap(r1,r2):\n",
@@ -125,7 +119,7 @@
     "    \n",
     "    # If either returned None tuples, then there is no overlap!\n",
     "    if not w_overlap or not h_overlap:\n",
-    "        print 'There was no overlap!'\n",
+    "        print('There was no overlap!')\n",
     "        return None\n",
     "    \n",
     "    # Otherwise return the dictionary format of the overlapping rectangle\n",
@@ -141,18 +135,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 6,
+   "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "{'h': 11, 'w': 5, 'x': 2, 'y': 5}"
+       "{'x': 2, 'y': 5, 'w': 5, 'h': 11}"
       ]
      },
-     "execution_count": 5,
+     "execution_count": 6,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -174,23 +166,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.11"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Mock Interviews/Large E-Commerce Company/E-Commerce Company - Interview Problems - SOLUTIONS/Phone Screen - SOLUTION.ipynb b/10-Mock Interviews/01-Large E-Commerce Company/E-Commerce Company - Interview Problems - SOLUTIONS/.ipynb_checkpoints/04-Phone Screen - SOLUTION-checkpoint.ipynb
similarity index 95%
rename from Mock Interviews/Large E-Commerce Company/E-Commerce Company - Interview Problems - SOLUTIONS/Phone Screen - SOLUTION.ipynb
rename to 10-Mock Interviews/01-Large E-Commerce Company/E-Commerce Company - Interview Problems - SOLUTIONS/.ipynb_checkpoints/04-Phone Screen - SOLUTION-checkpoint.ipynb
index 042f7a06..5f192cec 100644
--- a/Mock Interviews/Large E-Commerce Company/E-Commerce Company - Interview Problems - SOLUTIONS/Phone Screen - SOLUTION.ipynb	
+++ b/10-Mock Interviews/01-Large E-Commerce Company/E-Commerce Company - Interview Problems - SOLUTIONS/.ipynb_checkpoints/04-Phone Screen - SOLUTION-checkpoint.ipynb	
@@ -63,23 +63,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.11"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Mock Interviews/Large E-Commerce Company/E-Commerce Company - Interview Problems - SOLUTIONS/.ipynb_checkpoints/On-Site Question 1 - SOLUTION-checkpoint.ipynb b/10-Mock Interviews/01-Large E-Commerce Company/E-Commerce Company - Interview Problems - SOLUTIONS/01-On-Site Question 1 - SOLUTION.ipynb
similarity index 78%
rename from Mock Interviews/Large E-Commerce Company/E-Commerce Company - Interview Problems - SOLUTIONS/.ipynb_checkpoints/On-Site Question 1 - SOLUTION-checkpoint.ipynb
rename to 10-Mock Interviews/01-Large E-Commerce Company/E-Commerce Company - Interview Problems - SOLUTIONS/01-On-Site Question 1 - SOLUTION.ipynb
index 2ac17359..a1f784f2 100644
--- a/Mock Interviews/Large E-Commerce Company/E-Commerce Company - Interview Problems - SOLUTIONS/.ipynb_checkpoints/On-Site Question 1 - SOLUTION-checkpoint.ipynb	
+++ b/10-Mock Interviews/01-Large E-Commerce Company/E-Commerce Company - Interview Problems - SOLUTIONS/01-On-Site Question 1 - SOLUTION.ipynb	
@@ -46,9 +46,7 @@
   {
    "cell_type": "code",
    "execution_count": 1,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "def profit(stock_prices):\n",
@@ -76,10 +74,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 2,
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -87,7 +83,7 @@
        "39"
       ]
      },
-     "execution_count": 4,
+     "execution_count": 2,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -110,10 +106,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 3,
+   "metadata": {},
    "outputs": [],
    "source": [
     "def profit2(stock_prices):\n",
@@ -153,10 +147,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 4,
+   "metadata": {},
    "outputs": [
     {
      "ename": "Exception",
@@ -165,8 +157,8 @@
      "traceback": [
       "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
       "\u001b[0;31mException\u001b[0m                                 Traceback (most recent call last)",
-      "\u001b[0;32m<ipython-input-11-7bd2f0c7e63b>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0;31m# Exception Raised\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m \u001b[0mprofit2\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
-      "\u001b[0;32m<ipython-input-10-e06adf3c45a7>\u001b[0m in \u001b[0;36mprofit2\u001b[0;34m(stock_prices)\u001b[0m\n\u001b[1;32m      3\u001b[0m     \u001b[0;31m# Check length\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      4\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mstock_prices\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m<\u001b[0m \u001b[0;36m2\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 5\u001b[0;31m         \u001b[0;32mraise\u001b[0m \u001b[0mException\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'Need at least two stock prices!'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      6\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      7\u001b[0m     \u001b[0;31m# Start minimum price marker at first price\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m<ipython-input-4-9a864ce32d12>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0;31m# Exception Raised\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m \u001b[0mprofit2\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
+      "\u001b[0;32m<ipython-input-3-7f5f7ac31f2e>\u001b[0m in \u001b[0;36mprofit2\u001b[0;34m(stock_prices)\u001b[0m\n\u001b[1;32m      3\u001b[0m     \u001b[0;31m# Check length\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      4\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mstock_prices\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m<\u001b[0m \u001b[0;36m2\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 5\u001b[0;31m         \u001b[0;32mraise\u001b[0m \u001b[0mException\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'Need at least two stock prices!'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      6\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      7\u001b[0m     \u001b[0;31m# Start minimum price marker at first price\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
       "\u001b[0;31mException\u001b[0m: Need at least two stock prices!"
      ]
     }
@@ -178,10 +170,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 5,
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -189,7 +179,7 @@
        "-1"
       ]
      },
-     "execution_count": 12,
+     "execution_count": 5,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -210,23 +200,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.11"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Mock Interviews/Large E-Commerce Company/E-Commerce Company - Interview Problems - SOLUTIONS/.ipynb_checkpoints/On-Site Question 2 - SOLUTION-checkpoint.ipynb b/10-Mock Interviews/01-Large E-Commerce Company/E-Commerce Company - Interview Problems - SOLUTIONS/02-On-Site Question 2 - SOLUTION.ipynb
similarity index 90%
rename from Mock Interviews/Large E-Commerce Company/E-Commerce Company - Interview Problems - SOLUTIONS/.ipynb_checkpoints/On-Site Question 2 - SOLUTION-checkpoint.ipynb
rename to 10-Mock Interviews/01-Large E-Commerce Company/E-Commerce Company - Interview Problems - SOLUTIONS/02-On-Site Question 2 - SOLUTION.ipynb
index f4f594ff..ded3038f 100644
--- a/Mock Interviews/Large E-Commerce Company/E-Commerce Company - Interview Problems - SOLUTIONS/.ipynb_checkpoints/On-Site Question 2 - SOLUTION-checkpoint.ipynb	
+++ b/10-Mock Interviews/01-Large E-Commerce Company/E-Commerce Company - Interview Problems - SOLUTIONS/02-On-Site Question 2 - SOLUTION.ipynb	
@@ -43,10 +43,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 1,
+   "metadata": {},
    "outputs": [],
    "source": [
     "def index_prod(lst):\n",
@@ -89,10 +87,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 2,
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -100,7 +96,7 @@
        "[24, 12, 8, 6]"
       ]
      },
-     "execution_count": 20,
+     "execution_count": 2,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -111,10 +107,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 3,
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -122,7 +116,7 @@
        "[24, 0, 0, 0, 0]"
       ]
      },
-     "execution_count": 21,
+     "execution_count": 3,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -142,23 +136,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.11"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Mock Interviews/Large E-Commerce Company/E-Commerce Company - Interview Problems - SOLUTIONS/On-Site Question 3 - SOLUTION.ipynb b/10-Mock Interviews/01-Large E-Commerce Company/E-Commerce Company - Interview Problems - SOLUTIONS/03-On-Site Question 3 - SOLUTION.ipynb
similarity index 91%
rename from Mock Interviews/Large E-Commerce Company/E-Commerce Company - Interview Problems - SOLUTIONS/On-Site Question 3 - SOLUTION.ipynb
rename to 10-Mock Interviews/01-Large E-Commerce Company/E-Commerce Company - Interview Problems - SOLUTIONS/03-On-Site Question 3 - SOLUTION.ipynb
index f3b22b3b..79c21d9b 100644
--- a/Mock Interviews/Large E-Commerce Company/E-Commerce Company - Interview Problems - SOLUTIONS/On-Site Question 3 - SOLUTION.ipynb	
+++ b/10-Mock Interviews/01-Large E-Commerce Company/E-Commerce Company - Interview Problems - SOLUTIONS/03-On-Site Question 3 - SOLUTION.ipynb	
@@ -13,10 +13,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 1,
+   "metadata": {},
    "outputs": [],
    "source": [
     "r1 = {\n",
@@ -69,10 +67,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 2,
+   "metadata": {},
    "outputs": [],
    "source": [
     "def calc_overlap(coor1,dim1,coor2,dim2):\n",
@@ -110,10 +106,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 5,
+   "metadata": {},
    "outputs": [],
    "source": [
     "def calc_rect_overlap(r1,r2):\n",
@@ -125,7 +119,7 @@
     "    \n",
     "    # If either returned None tuples, then there is no overlap!\n",
     "    if not w_overlap or not h_overlap:\n",
-    "        print 'There was no overlap!'\n",
+    "        print('There was no overlap!')\n",
     "        return None\n",
     "    \n",
     "    # Otherwise return the dictionary format of the overlapping rectangle\n",
@@ -141,18 +135,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 6,
+   "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "{'h': 11, 'w': 5, 'x': 2, 'y': 5}"
+       "{'x': 2, 'y': 5, 'w': 5, 'h': 11}"
       ]
      },
-     "execution_count": 5,
+     "execution_count": 6,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -174,23 +166,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.11"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Mock Interviews/Large E-Commerce Company/E-Commerce Company - Interview Problems - SOLUTIONS/.ipynb_checkpoints/Phone Screen - SOLUTION-checkpoint.ipynb b/10-Mock Interviews/01-Large E-Commerce Company/E-Commerce Company - Interview Problems - SOLUTIONS/04-Phone Screen - SOLUTION.ipynb
similarity index 95%
rename from Mock Interviews/Large E-Commerce Company/E-Commerce Company - Interview Problems - SOLUTIONS/.ipynb_checkpoints/Phone Screen - SOLUTION-checkpoint.ipynb
rename to 10-Mock Interviews/01-Large E-Commerce Company/E-Commerce Company - Interview Problems - SOLUTIONS/04-Phone Screen - SOLUTION.ipynb
index 042f7a06..5f192cec 100644
--- a/Mock Interviews/Large E-Commerce Company/E-Commerce Company - Interview Problems - SOLUTIONS/.ipynb_checkpoints/Phone Screen - SOLUTION-checkpoint.ipynb	
+++ b/10-Mock Interviews/01-Large E-Commerce Company/E-Commerce Company - Interview Problems - SOLUTIONS/04-Phone Screen - SOLUTION.ipynb	
@@ -63,23 +63,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.11"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Mock Interviews/Large E-Commerce Company/E-Commerce Company - Interview Problems/On-Site Question 1.ipynb b/10-Mock Interviews/01-Large E-Commerce Company/E-Commerce Company - Interview Problems/.ipynb_checkpoints/01-On-Site Question 1-checkpoint.ipynb
similarity index 91%
rename from Mock Interviews/Large E-Commerce Company/E-Commerce Company - Interview Problems/On-Site Question 1.ipynb
rename to 10-Mock Interviews/01-Large E-Commerce Company/E-Commerce Company - Interview Problems/.ipynb_checkpoints/01-On-Site Question 1-checkpoint.ipynb
index 301d05a0..0726438d 100644
--- a/Mock Interviews/Large E-Commerce Company/E-Commerce Company - Interview Problems/On-Site Question 1.ipynb	
+++ b/10-Mock Interviews/01-Large E-Commerce Company/E-Commerce Company - Interview Problems/.ipynb_checkpoints/01-On-Site Question 1-checkpoint.ipynb	
@@ -34,23 +34,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.11"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Mock Interviews/Large E-Commerce Company/E-Commerce Company - Interview Problems/On-Site Question 2 .ipynb b/10-Mock Interviews/01-Large E-Commerce Company/E-Commerce Company - Interview Problems/.ipynb_checkpoints/02-On-Site Question 2 -checkpoint.ipynb
similarity index 98%
rename from Mock Interviews/Large E-Commerce Company/E-Commerce Company - Interview Problems/On-Site Question 2 .ipynb
rename to 10-Mock Interviews/01-Large E-Commerce Company/E-Commerce Company - Interview Problems/.ipynb_checkpoints/02-On-Site Question 2 -checkpoint.ipynb
index a68bb887..de447f10 100644
--- a/Mock Interviews/Large E-Commerce Company/E-Commerce Company - Interview Problems/On-Site Question 2 .ipynb	
+++ b/10-Mock Interviews/01-Large E-Commerce Company/E-Commerce Company - Interview Problems/.ipynb_checkpoints/02-On-Site Question 2 -checkpoint.ipynb	
@@ -43,7 +43,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.3"
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
diff --git a/Mock Interviews/Large E-Commerce Company/E-Commerce Company - Interview Problems/On-Site Question 3.ipynb b/10-Mock Interviews/01-Large E-Commerce Company/E-Commerce Company - Interview Problems/.ipynb_checkpoints/03-On-Site Question 3-checkpoint.ipynb
similarity index 87%
rename from Mock Interviews/Large E-Commerce Company/E-Commerce Company - Interview Problems/On-Site Question 3.ipynb
rename to 10-Mock Interviews/01-Large E-Commerce Company/E-Commerce Company - Interview Problems/.ipynb_checkpoints/03-On-Site Question 3-checkpoint.ipynb
index b7d2c7e4..43c2cd76 100644
--- a/Mock Interviews/Large E-Commerce Company/E-Commerce Company - Interview Problems/On-Site Question 3.ipynb	
+++ b/10-Mock Interviews/01-Large E-Commerce Company/E-Commerce Company - Interview Problems/.ipynb_checkpoints/03-On-Site Question 3-checkpoint.ipynb	
@@ -13,10 +13,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 1,
+   "metadata": {},
    "outputs": [],
    "source": [
     "r1 = {\n",
@@ -56,23 +54,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.11"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Mock Interviews/Large E-Commerce Company/E-Commerce Company - Interview Problems/.ipynb_checkpoints/Phone Screen -checkpoint.ipynb b/10-Mock Interviews/01-Large E-Commerce Company/E-Commerce Company - Interview Problems/.ipynb_checkpoints/04-Phone Screen -checkpoint.ipynb
similarity index 89%
rename from Mock Interviews/Large E-Commerce Company/E-Commerce Company - Interview Problems/.ipynb_checkpoints/Phone Screen -checkpoint.ipynb
rename to 10-Mock Interviews/01-Large E-Commerce Company/E-Commerce Company - Interview Problems/.ipynb_checkpoints/04-Phone Screen -checkpoint.ipynb
index f9dd3787..3cb28e95 100644
--- a/Mock Interviews/Large E-Commerce Company/E-Commerce Company - Interview Problems/.ipynb_checkpoints/Phone Screen -checkpoint.ipynb	
+++ b/10-Mock Interviews/01-Large E-Commerce Company/E-Commerce Company - Interview Problems/.ipynb_checkpoints/04-Phone Screen -checkpoint.ipynb	
@@ -27,23 +27,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.11"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Mock Interviews/Large E-Commerce Company/E-Commerce Company - Interview Problems/.ipynb_checkpoints/On-Site Question 1-checkpoint.ipynb b/10-Mock Interviews/01-Large E-Commerce Company/E-Commerce Company - Interview Problems/01-On-Site Question 1.ipynb
similarity index 91%
rename from Mock Interviews/Large E-Commerce Company/E-Commerce Company - Interview Problems/.ipynb_checkpoints/On-Site Question 1-checkpoint.ipynb
rename to 10-Mock Interviews/01-Large E-Commerce Company/E-Commerce Company - Interview Problems/01-On-Site Question 1.ipynb
index 301d05a0..0726438d 100644
--- a/Mock Interviews/Large E-Commerce Company/E-Commerce Company - Interview Problems/.ipynb_checkpoints/On-Site Question 1-checkpoint.ipynb	
+++ b/10-Mock Interviews/01-Large E-Commerce Company/E-Commerce Company - Interview Problems/01-On-Site Question 1.ipynb	
@@ -34,23 +34,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.11"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Mock Interviews/Large E-Commerce Company/E-Commerce Company - Interview Problems/.ipynb_checkpoints/On-Site Question 2 -checkpoint.ipynb b/10-Mock Interviews/01-Large E-Commerce Company/E-Commerce Company - Interview Problems/02-On-Site Question 2 .ipynb
similarity index 88%
rename from Mock Interviews/Large E-Commerce Company/E-Commerce Company - Interview Problems/.ipynb_checkpoints/On-Site Question 2 -checkpoint.ipynb
rename to 10-Mock Interviews/01-Large E-Commerce Company/E-Commerce Company - Interview Problems/02-On-Site Question 2 .ipynb
index 03231384..de447f10 100644
--- a/Mock Interviews/Large E-Commerce Company/E-Commerce Company - Interview Problems/.ipynb_checkpoints/On-Site Question 2 -checkpoint.ipynb	
+++ b/10-Mock Interviews/01-Large E-Commerce Company/E-Commerce Company - Interview Problems/02-On-Site Question 2 .ipynb	
@@ -29,23 +29,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.11"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Mock Interviews/Large E-Commerce Company/E-Commerce Company - Interview Problems/.ipynb_checkpoints/On-Site Question 3-checkpoint.ipynb b/10-Mock Interviews/01-Large E-Commerce Company/E-Commerce Company - Interview Problems/03-On-Site Question 3.ipynb
similarity index 87%
rename from Mock Interviews/Large E-Commerce Company/E-Commerce Company - Interview Problems/.ipynb_checkpoints/On-Site Question 3-checkpoint.ipynb
rename to 10-Mock Interviews/01-Large E-Commerce Company/E-Commerce Company - Interview Problems/03-On-Site Question 3.ipynb
index b7d2c7e4..43c2cd76 100644
--- a/Mock Interviews/Large E-Commerce Company/E-Commerce Company - Interview Problems/.ipynb_checkpoints/On-Site Question 3-checkpoint.ipynb	
+++ b/10-Mock Interviews/01-Large E-Commerce Company/E-Commerce Company - Interview Problems/03-On-Site Question 3.ipynb	
@@ -13,10 +13,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 1,
+   "metadata": {},
    "outputs": [],
    "source": [
     "r1 = {\n",
@@ -56,23 +54,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.11"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Mock Interviews/Large E-Commerce Company/E-Commerce Company - Interview Problems/Phone Screen .ipynb b/10-Mock Interviews/01-Large E-Commerce Company/E-Commerce Company - Interview Problems/04-Phone Screen .ipynb
similarity index 89%
rename from Mock Interviews/Large E-Commerce Company/E-Commerce Company - Interview Problems/Phone Screen .ipynb
rename to 10-Mock Interviews/01-Large E-Commerce Company/E-Commerce Company - Interview Problems/04-Phone Screen .ipynb
index f9dd3787..3cb28e95 100644
--- a/Mock Interviews/Large E-Commerce Company/E-Commerce Company - Interview Problems/Phone Screen .ipynb	
+++ b/10-Mock Interviews/01-Large E-Commerce Company/E-Commerce Company - Interview Problems/04-Phone Screen .ipynb	
@@ -27,23 +27,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.11"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Mock Interviews/Large Search Engine Company /Search Engine Company - Interview Problems - SOLUTIONS/On-Site Question 1 - SOLUTION.ipynb b/10-Mock Interviews/02-Large Search Engine Company /Search Engine Company - Interview Problems - SOLUTIONS/.ipynb_checkpoints/01-On-Site Question 1 - SOLUTION-checkpoint.ipynb
similarity index 84%
rename from Mock Interviews/Large Search Engine Company /Search Engine Company - Interview Problems - SOLUTIONS/On-Site Question 1 - SOLUTION.ipynb
rename to 10-Mock Interviews/02-Large Search Engine Company /Search Engine Company - Interview Problems - SOLUTIONS/.ipynb_checkpoints/01-On-Site Question 1 - SOLUTION-checkpoint.ipynb
index df89907a..2b13d615 100644
--- a/Mock Interviews/Large Search Engine Company /Search Engine Company - Interview Problems - SOLUTIONS/On-Site Question 1 - SOLUTION.ipynb	
+++ b/10-Mock Interviews/02-Large Search Engine Company /Search Engine Company - Interview Problems - SOLUTIONS/.ipynb_checkpoints/01-On-Site Question 1 - SOLUTION-checkpoint.ipynb	
@@ -37,10 +37,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 6,
+   "metadata": {},
    "outputs": [],
    "source": [
     "from random import randint\n",
@@ -57,34 +55,31 @@
     "    while roll > 5:\n",
     "        \n",
     "        roll = dice7()\n",
-    "        print 'dice7() produced a roll of ',roll\n",
-    "    print ' Your final returned roll is below:'\n",
+    "        print('dice7() produced a roll of ',roll)\n",
+    "    print(' Your final returned roll is below:')\n",
     "    return roll"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 7,
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "dice7() produced a roll of  7\n",
-      "dice7() produced a roll of  5\n",
+      "dice7() produced a roll of  3\n",
       " Your final returned roll is below:\n"
      ]
     },
     {
      "data": {
       "text/plain": [
-       "5"
+       "3"
       ]
      },
-     "execution_count": 6,
+     "execution_count": 7,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -105,23 +100,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.11"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Mock Interviews/Large Search Engine Company /Search Engine Company - Interview Problems - SOLUTIONS/On-Site Question 2 - SOLUTION.ipynb b/10-Mock Interviews/02-Large Search Engine Company /Search Engine Company - Interview Problems - SOLUTIONS/.ipynb_checkpoints/02-On-Site Question 2 - SOLUTION-checkpoint.ipynb
similarity index 90%
rename from Mock Interviews/Large Search Engine Company /Search Engine Company - Interview Problems - SOLUTIONS/On-Site Question 2 - SOLUTION.ipynb
rename to 10-Mock Interviews/02-Large Search Engine Company /Search Engine Company - Interview Problems - SOLUTIONS/.ipynb_checkpoints/02-On-Site Question 2 - SOLUTION-checkpoint.ipynb
index b3c51b99..b8871858 100644
--- a/Mock Interviews/Large Search Engine Company /Search Engine Company - Interview Problems - SOLUTIONS/On-Site Question 2 - SOLUTION.ipynb	
+++ b/10-Mock Interviews/02-Large Search Engine Company /Search Engine Company - Interview Problems - SOLUTIONS/.ipynb_checkpoints/02-On-Site Question 2 - SOLUTION-checkpoint.ipynb	
@@ -46,9 +46,7 @@
   {
    "cell_type": "code",
    "execution_count": 1,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "from random import randint\n",
@@ -66,10 +64,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 2,
+   "metadata": {},
    "outputs": [],
    "source": [
     "def convert5to7():\n",
@@ -97,18 +93,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 3,
+   "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "2"
+       "3"
       ]
      },
-     "execution_count": 25,
+     "execution_count": 3,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -127,23 +121,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.11"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Mock Interviews/Large Search Engine Company /Search Engine Company - Interview Problems - SOLUTIONS/On-Site Question 3 -SOLUTION.ipynb b/10-Mock Interviews/02-Large Search Engine Company /Search Engine Company - Interview Problems - SOLUTIONS/.ipynb_checkpoints/03-On-Site Question 3 -SOLUTION-checkpoint.ipynb
similarity index 89%
rename from Mock Interviews/Large Search Engine Company /Search Engine Company - Interview Problems - SOLUTIONS/On-Site Question 3 -SOLUTION.ipynb
rename to 10-Mock Interviews/02-Large Search Engine Company /Search Engine Company - Interview Problems - SOLUTIONS/.ipynb_checkpoints/03-On-Site Question 3 -SOLUTION-checkpoint.ipynb
index 1e53ad72..799ac82b 100644
--- a/Mock Interviews/Large Search Engine Company /Search Engine Company - Interview Problems - SOLUTIONS/On-Site Question 3 -SOLUTION.ipynb	
+++ b/10-Mock Interviews/02-Large Search Engine Company /Search Engine Company - Interview Problems - SOLUTIONS/.ipynb_checkpoints/03-On-Site Question 3 -SOLUTION-checkpoint.ipynb	
@@ -34,9 +34,7 @@
   {
    "cell_type": "code",
    "execution_count": 1,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "def reverse(s):\n",
@@ -69,23 +67,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.11"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Mock Interviews/Large Search Engine Company /Search Engine Company - Interview Problems - SOLUTIONS/On-Site Question 4 - SOLUTION.ipynb b/10-Mock Interviews/02-Large Search Engine Company /Search Engine Company - Interview Problems - SOLUTIONS/.ipynb_checkpoints/04-On-Site Question 4 - SOLUTION-checkpoint.ipynb
similarity index 88%
rename from Mock Interviews/Large Search Engine Company /Search Engine Company - Interview Problems - SOLUTIONS/On-Site Question 4 - SOLUTION.ipynb
rename to 10-Mock Interviews/02-Large Search Engine Company /Search Engine Company - Interview Problems - SOLUTIONS/.ipynb_checkpoints/04-On-Site Question 4 - SOLUTION-checkpoint.ipynb
index 8c32f0a1..bff41dba 100644
--- a/Mock Interviews/Large Search Engine Company /Search Engine Company - Interview Problems - SOLUTIONS/On-Site Question 4 - SOLUTION.ipynb	
+++ b/10-Mock Interviews/02-Large Search Engine Company /Search Engine Company - Interview Problems - SOLUTIONS/.ipynb_checkpoints/04-On-Site Question 4 - SOLUTION-checkpoint.ipynb	
@@ -27,10 +27,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 3,
+   "metadata": {},
    "outputs": [],
    "source": [
     "def solution(num): \n",
@@ -38,7 +36,7 @@
     "        raise ValueError \n",
     "    if num==1: \n",
     "        return 1 \n",
-    "    for k in range(1+(num/2)): \n",
+    "    for k in range(1+(num//2)): \n",
     "        if k**2==num: \n",
     "            return k \n",
     "        elif k**2>num: \n",
@@ -48,10 +46,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 4,
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -59,7 +55,7 @@
        "3"
       ]
      },
-     "execution_count": 2,
+     "execution_count": 4,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -70,10 +66,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 5,
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -81,7 +75,7 @@
        "3"
       ]
      },
-     "execution_count": 3,
+     "execution_count": 5,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -92,10 +86,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 6,
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -103,7 +95,7 @@
        "4"
       ]
      },
-     "execution_count": 4,
+     "execution_count": 6,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -121,10 +113,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 15,
+   "metadata": {},
    "outputs": [],
    "source": [
     "def better_solution(num): \n",
@@ -149,18 +139,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 19,
+   "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "3"
+       "3.0"
       ]
      },
-     "execution_count": 9,
+     "execution_count": 19,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -171,18 +159,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 20,
+   "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "3"
+       "3.71875"
       ]
      },
-     "execution_count": 10,
+     "execution_count": 20,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -193,18 +179,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 21,
+   "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "4"
+       "3.9375"
       ]
      },
-     "execution_count": 11,
+     "execution_count": 21,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -241,23 +225,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.11"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Mock Interviews/Large Search Engine Company /Search Engine Company - Interview Problems - SOLUTIONS/.ipynb_checkpoints/Phone Screen-checkpoint.ipynb b/10-Mock Interviews/02-Large Search Engine Company /Search Engine Company - Interview Problems - SOLUTIONS/.ipynb_checkpoints/05-Phone Screen-checkpoint.ipynb
similarity index 94%
rename from Mock Interviews/Large Search Engine Company /Search Engine Company - Interview Problems - SOLUTIONS/.ipynb_checkpoints/Phone Screen-checkpoint.ipynb
rename to 10-Mock Interviews/02-Large Search Engine Company /Search Engine Company - Interview Problems - SOLUTIONS/.ipynb_checkpoints/05-Phone Screen-checkpoint.ipynb
index f3ebeea5..8ea4c86c 100644
--- a/Mock Interviews/Large Search Engine Company /Search Engine Company - Interview Problems - SOLUTIONS/.ipynb_checkpoints/Phone Screen-checkpoint.ipynb	
+++ b/10-Mock Interviews/02-Large Search Engine Company /Search Engine Company - Interview Problems - SOLUTIONS/.ipynb_checkpoints/05-Phone Screen-checkpoint.ipynb	
@@ -56,10 +56,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 3,
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -82,7 +80,7 @@
     "        a,b = b,a+b\n",
     "    return a\n",
     "\n",
-    "print fib(7)\n",
+    "print(fib(7))\n",
     "    \n",
     "# Using recursion    \n",
     "def fibR(n):\n",
@@ -90,7 +88,7 @@
     "        return 1\n",
     "    return fib(n-1)+fib(n-2)\n",
     "\n",
-    "print fibR(7)\n",
+    "print(fibR(7))\n",
     " \n",
     "## Example 3: Using generators\n",
     "a,b = 0,1\n",
@@ -100,13 +98,14 @@
     "        a,b = b, a+b\n",
     "        yield a\n",
     "f=fibI()\n",
-    "f.next()\n",
-    "f.next()\n",
-    "f.next()\n",
-    "f.next()\n",
-    "f.next()\n",
-    "f.next()\n",
-    "print f.next()\n",
+    "next(f)\n",
+    "next(f)\n",
+    "next(f)\n",
+    "next(f)\n",
+    "next(f)\n",
+    "next(f)\n",
+    "\n",
+    "print(next(f))\n",
     "\n",
     " \n",
     "## Example 4: Using memoization\n",
@@ -118,7 +117,7 @@
     " \n",
     "## fib() as written in example 1.\n",
     "fibm = memoize(fib,7)\n",
-    "print fibm\n",
+    "print(fibm)\n",
     " \n",
     "## Example 5: Using memoization as decorator\n",
     "class Memoize:\n",
@@ -136,7 +135,7 @@
     "    for i in range(n-1):\n",
     "        a,b = b,a+b\n",
     "    return a\n",
-    "print fib(7)"
+    "print(fib(7))"
    ]
   },
   {
@@ -252,23 +251,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.11"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Mock Interviews/Large Search Engine Company /Search Engine Company - Interview Problems - SOLUTIONS/.ipynb_checkpoints/On-Site Question 1 - SOLUTION-checkpoint.ipynb b/10-Mock Interviews/02-Large Search Engine Company /Search Engine Company - Interview Problems - SOLUTIONS/01-On-Site Question 1 - SOLUTION.ipynb
similarity index 84%
rename from Mock Interviews/Large Search Engine Company /Search Engine Company - Interview Problems - SOLUTIONS/.ipynb_checkpoints/On-Site Question 1 - SOLUTION-checkpoint.ipynb
rename to 10-Mock Interviews/02-Large Search Engine Company /Search Engine Company - Interview Problems - SOLUTIONS/01-On-Site Question 1 - SOLUTION.ipynb
index df89907a..2b13d615 100644
--- a/Mock Interviews/Large Search Engine Company /Search Engine Company - Interview Problems - SOLUTIONS/.ipynb_checkpoints/On-Site Question 1 - SOLUTION-checkpoint.ipynb	
+++ b/10-Mock Interviews/02-Large Search Engine Company /Search Engine Company - Interview Problems - SOLUTIONS/01-On-Site Question 1 - SOLUTION.ipynb	
@@ -37,10 +37,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 6,
+   "metadata": {},
    "outputs": [],
    "source": [
     "from random import randint\n",
@@ -57,34 +55,31 @@
     "    while roll > 5:\n",
     "        \n",
     "        roll = dice7()\n",
-    "        print 'dice7() produced a roll of ',roll\n",
-    "    print ' Your final returned roll is below:'\n",
+    "        print('dice7() produced a roll of ',roll)\n",
+    "    print(' Your final returned roll is below:')\n",
     "    return roll"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 7,
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "dice7() produced a roll of  7\n",
-      "dice7() produced a roll of  5\n",
+      "dice7() produced a roll of  3\n",
       " Your final returned roll is below:\n"
      ]
     },
     {
      "data": {
       "text/plain": [
-       "5"
+       "3"
       ]
      },
-     "execution_count": 6,
+     "execution_count": 7,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -105,23 +100,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.11"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Mock Interviews/Large Search Engine Company /Search Engine Company - Interview Problems - SOLUTIONS/.ipynb_checkpoints/On-Site Question 2 - SOLUTION-checkpoint.ipynb b/10-Mock Interviews/02-Large Search Engine Company /Search Engine Company - Interview Problems - SOLUTIONS/02-On-Site Question 2 - SOLUTION.ipynb
similarity index 89%
rename from Mock Interviews/Large Search Engine Company /Search Engine Company - Interview Problems - SOLUTIONS/.ipynb_checkpoints/On-Site Question 2 - SOLUTION-checkpoint.ipynb
rename to 10-Mock Interviews/02-Large Search Engine Company /Search Engine Company - Interview Problems - SOLUTIONS/02-On-Site Question 2 - SOLUTION.ipynb
index 6d44e71a..b8871858 100644
--- a/Mock Interviews/Large Search Engine Company /Search Engine Company - Interview Problems - SOLUTIONS/.ipynb_checkpoints/On-Site Question 2 - SOLUTION-checkpoint.ipynb	
+++ b/10-Mock Interviews/02-Large Search Engine Company /Search Engine Company - Interview Problems - SOLUTIONS/02-On-Site Question 2 - SOLUTION.ipynb	
@@ -36,7 +36,7 @@
     "\n",
     "We will define our range as a section of the 25 possible combinations of rolls. A good way to do this is by converting the two rolls into a unique outcome number in the range 1 through 25.\n",
     "\n",
-    "We will create this number by taking the rolls, then we take the first roll and after subtracting 1 from it we multiply it by 4. Now the first roll corresponds with a value of 1 - 20.\n",
+    "We will create this number by taking the rolls, then we take the first roll and after subtracting 1 from it we multiply it by 5. Now the first roll corresponds with a value of 0, 5, 10, 15 and 20.\n",
     "\n",
     "Then we take the second roll and add it to the result of the first manipulation. Giving us a range of 1-25.\n",
     "\n",
@@ -46,9 +46,7 @@
   {
    "cell_type": "code",
    "execution_count": 1,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "from random import randint\n",
@@ -66,10 +64,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 2,
+   "metadata": {},
    "outputs": [],
    "source": [
     "def convert5to7():\n",
@@ -97,18 +93,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 3,
+   "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "2"
+       "3"
       ]
      },
-     "execution_count": 25,
+     "execution_count": 3,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -127,23 +121,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.11"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Mock Interviews/Large Search Engine Company /Search Engine Company - Interview Problems - SOLUTIONS/.ipynb_checkpoints/On-Site Question 3 -SOLUTION-checkpoint.ipynb b/10-Mock Interviews/02-Large Search Engine Company /Search Engine Company - Interview Problems - SOLUTIONS/03-On-Site Question 3 -SOLUTION.ipynb
similarity index 89%
rename from Mock Interviews/Large Search Engine Company /Search Engine Company - Interview Problems - SOLUTIONS/.ipynb_checkpoints/On-Site Question 3 -SOLUTION-checkpoint.ipynb
rename to 10-Mock Interviews/02-Large Search Engine Company /Search Engine Company - Interview Problems - SOLUTIONS/03-On-Site Question 3 -SOLUTION.ipynb
index 1e53ad72..799ac82b 100644
--- a/Mock Interviews/Large Search Engine Company /Search Engine Company - Interview Problems - SOLUTIONS/.ipynb_checkpoints/On-Site Question 3 -SOLUTION-checkpoint.ipynb	
+++ b/10-Mock Interviews/02-Large Search Engine Company /Search Engine Company - Interview Problems - SOLUTIONS/03-On-Site Question 3 -SOLUTION.ipynb	
@@ -34,9 +34,7 @@
   {
    "cell_type": "code",
    "execution_count": 1,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "def reverse(s):\n",
@@ -69,23 +67,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.11"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Mock Interviews/Large Search Engine Company /Search Engine Company - Interview Problems - SOLUTIONS/.ipynb_checkpoints/On-Site Question 4 - SOLUTION-checkpoint.ipynb b/10-Mock Interviews/02-Large Search Engine Company /Search Engine Company - Interview Problems - SOLUTIONS/04-On-Site Question 4 - SOLUTION.ipynb
similarity index 88%
rename from Mock Interviews/Large Search Engine Company /Search Engine Company - Interview Problems - SOLUTIONS/.ipynb_checkpoints/On-Site Question 4 - SOLUTION-checkpoint.ipynb
rename to 10-Mock Interviews/02-Large Search Engine Company /Search Engine Company - Interview Problems - SOLUTIONS/04-On-Site Question 4 - SOLUTION.ipynb
index 8c32f0a1..bff41dba 100644
--- a/Mock Interviews/Large Search Engine Company /Search Engine Company - Interview Problems - SOLUTIONS/.ipynb_checkpoints/On-Site Question 4 - SOLUTION-checkpoint.ipynb	
+++ b/10-Mock Interviews/02-Large Search Engine Company /Search Engine Company - Interview Problems - SOLUTIONS/04-On-Site Question 4 - SOLUTION.ipynb	
@@ -27,10 +27,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 3,
+   "metadata": {},
    "outputs": [],
    "source": [
     "def solution(num): \n",
@@ -38,7 +36,7 @@
     "        raise ValueError \n",
     "    if num==1: \n",
     "        return 1 \n",
-    "    for k in range(1+(num/2)): \n",
+    "    for k in range(1+(num//2)): \n",
     "        if k**2==num: \n",
     "            return k \n",
     "        elif k**2>num: \n",
@@ -48,10 +46,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 4,
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -59,7 +55,7 @@
        "3"
       ]
      },
-     "execution_count": 2,
+     "execution_count": 4,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -70,10 +66,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 5,
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -81,7 +75,7 @@
        "3"
       ]
      },
-     "execution_count": 3,
+     "execution_count": 5,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -92,10 +86,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 6,
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -103,7 +95,7 @@
        "4"
       ]
      },
-     "execution_count": 4,
+     "execution_count": 6,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -121,10 +113,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 15,
+   "metadata": {},
    "outputs": [],
    "source": [
     "def better_solution(num): \n",
@@ -149,18 +139,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 19,
+   "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "3"
+       "3.0"
       ]
      },
-     "execution_count": 9,
+     "execution_count": 19,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -171,18 +159,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 20,
+   "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "3"
+       "3.71875"
       ]
      },
-     "execution_count": 10,
+     "execution_count": 20,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -193,18 +179,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 21,
+   "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "4"
+       "3.9375"
       ]
      },
-     "execution_count": 11,
+     "execution_count": 21,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -241,23 +225,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.11"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Mock Interviews/Large Search Engine Company /Search Engine Company - Interview Problems - SOLUTIONS/Phone Screen.ipynb b/10-Mock Interviews/02-Large Search Engine Company /Search Engine Company - Interview Problems - SOLUTIONS/05-Phone Screen.ipynb
similarity index 94%
rename from Mock Interviews/Large Search Engine Company /Search Engine Company - Interview Problems - SOLUTIONS/Phone Screen.ipynb
rename to 10-Mock Interviews/02-Large Search Engine Company /Search Engine Company - Interview Problems - SOLUTIONS/05-Phone Screen.ipynb
index f3ebeea5..8ea4c86c 100644
--- a/Mock Interviews/Large Search Engine Company /Search Engine Company - Interview Problems - SOLUTIONS/Phone Screen.ipynb	
+++ b/10-Mock Interviews/02-Large Search Engine Company /Search Engine Company - Interview Problems - SOLUTIONS/05-Phone Screen.ipynb	
@@ -56,10 +56,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 3,
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -82,7 +80,7 @@
     "        a,b = b,a+b\n",
     "    return a\n",
     "\n",
-    "print fib(7)\n",
+    "print(fib(7))\n",
     "    \n",
     "# Using recursion    \n",
     "def fibR(n):\n",
@@ -90,7 +88,7 @@
     "        return 1\n",
     "    return fib(n-1)+fib(n-2)\n",
     "\n",
-    "print fibR(7)\n",
+    "print(fibR(7))\n",
     " \n",
     "## Example 3: Using generators\n",
     "a,b = 0,1\n",
@@ -100,13 +98,14 @@
     "        a,b = b, a+b\n",
     "        yield a\n",
     "f=fibI()\n",
-    "f.next()\n",
-    "f.next()\n",
-    "f.next()\n",
-    "f.next()\n",
-    "f.next()\n",
-    "f.next()\n",
-    "print f.next()\n",
+    "next(f)\n",
+    "next(f)\n",
+    "next(f)\n",
+    "next(f)\n",
+    "next(f)\n",
+    "next(f)\n",
+    "\n",
+    "print(next(f))\n",
     "\n",
     " \n",
     "## Example 4: Using memoization\n",
@@ -118,7 +117,7 @@
     " \n",
     "## fib() as written in example 1.\n",
     "fibm = memoize(fib,7)\n",
-    "print fibm\n",
+    "print(fibm)\n",
     " \n",
     "## Example 5: Using memoization as decorator\n",
     "class Memoize:\n",
@@ -136,7 +135,7 @@
     "    for i in range(n-1):\n",
     "        a,b = b,a+b\n",
     "    return a\n",
-    "print fib(7)"
+    "print(fib(7))"
    ]
   },
   {
@@ -252,23 +251,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.11"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Mock Interviews/Large Search Engine Company /Search Engine Company - Interview Problems/On-Site Question 1 .ipynb b/10-Mock Interviews/02-Large Search Engine Company /Search Engine Company - Interview Problems/.ipynb_checkpoints/01-On-Site Question 1 -checkpoint.ipynb
similarity index 93%
rename from Mock Interviews/Large Search Engine Company /Search Engine Company - Interview Problems/On-Site Question 1 .ipynb
rename to 10-Mock Interviews/02-Large Search Engine Company /Search Engine Company - Interview Problems/.ipynb_checkpoints/01-On-Site Question 1 -checkpoint.ipynb
index c4514711..4c78a6b6 100644
--- a/Mock Interviews/Large Search Engine Company /Search Engine Company - Interview Problems/On-Site Question 1 .ipynb	
+++ b/10-Mock Interviews/02-Large Search Engine Company /Search Engine Company - Interview Problems/.ipynb_checkpoints/01-On-Site Question 1 -checkpoint.ipynb	
@@ -32,9 +32,9 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
@@ -50,5 +50,5 @@
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Mock Interviews/Large Search Engine Company /Search Engine Company - Interview Problems/On-Site Question 2 .ipynb b/10-Mock Interviews/02-Large Search Engine Company /Search Engine Company - Interview Problems/.ipynb_checkpoints/02-On-Site Question 2 -checkpoint.ipynb
similarity index 86%
rename from Mock Interviews/Large Search Engine Company /Search Engine Company - Interview Problems/On-Site Question 2 .ipynb
rename to 10-Mock Interviews/02-Large Search Engine Company /Search Engine Company - Interview Problems/.ipynb_checkpoints/02-On-Site Question 2 -checkpoint.ipynb
index a63ca005..df7821e0 100644
--- a/Mock Interviews/Large Search Engine Company /Search Engine Company - Interview Problems/On-Site Question 2 .ipynb	
+++ b/10-Mock Interviews/02-Large Search Engine Company /Search Engine Company - Interview Problems/.ipynb_checkpoints/02-On-Site Question 2 -checkpoint.ipynb	
@@ -32,23 +32,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.11"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Mock Interviews/Large Search Engine Company /Search Engine Company - Interview Problems/.ipynb_checkpoints/On-Site Question 3 -checkpoint.ipynb b/10-Mock Interviews/02-Large Search Engine Company /Search Engine Company - Interview Problems/.ipynb_checkpoints/03-On-Site Question 3 -checkpoint.ipynb
similarity index 85%
rename from Mock Interviews/Large Search Engine Company /Search Engine Company - Interview Problems/.ipynb_checkpoints/On-Site Question 3 -checkpoint.ipynb
rename to 10-Mock Interviews/02-Large Search Engine Company /Search Engine Company - Interview Problems/.ipynb_checkpoints/03-On-Site Question 3 -checkpoint.ipynb
index 49a04c0d..071f91aa 100644
--- a/Mock Interviews/Large Search Engine Company /Search Engine Company - Interview Problems/.ipynb_checkpoints/On-Site Question 3 -checkpoint.ipynb	
+++ b/10-Mock Interviews/02-Large Search Engine Company /Search Engine Company - Interview Problems/.ipynb_checkpoints/03-On-Site Question 3 -checkpoint.ipynb	
@@ -32,23 +32,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.11"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Mock Interviews/Large Search Engine Company /Search Engine Company - Interview Problems/.ipynb_checkpoints/On-Site Question 4 -checkpoint.ipynb b/10-Mock Interviews/02-Large Search Engine Company /Search Engine Company - Interview Problems/.ipynb_checkpoints/04-On-Site Question 4 -checkpoint.ipynb
similarity index 85%
rename from Mock Interviews/Large Search Engine Company /Search Engine Company - Interview Problems/.ipynb_checkpoints/On-Site Question 4 -checkpoint.ipynb
rename to 10-Mock Interviews/02-Large Search Engine Company /Search Engine Company - Interview Problems/.ipynb_checkpoints/04-On-Site Question 4 -checkpoint.ipynb
index d69bf130..d932316b 100644
--- a/Mock Interviews/Large Search Engine Company /Search Engine Company - Interview Problems/.ipynb_checkpoints/On-Site Question 4 -checkpoint.ipynb	
+++ b/10-Mock Interviews/02-Large Search Engine Company /Search Engine Company - Interview Problems/.ipynb_checkpoints/04-On-Site Question 4 -checkpoint.ipynb	
@@ -24,23 +24,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.11"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Mock Interviews/Large Search Engine Company /Search Engine Company - Interview Problems/Phone Screen.ipynb b/10-Mock Interviews/02-Large Search Engine Company /Search Engine Company - Interview Problems/.ipynb_checkpoints/05-Phone Screen-checkpoint.ipynb
similarity index 92%
rename from Mock Interviews/Large Search Engine Company /Search Engine Company - Interview Problems/Phone Screen.ipynb
rename to 10-Mock Interviews/02-Large Search Engine Company /Search Engine Company - Interview Problems/.ipynb_checkpoints/05-Phone Screen-checkpoint.ipynb
index 8edb0203..1cb58d63 100644
--- a/Mock Interviews/Large Search Engine Company /Search Engine Company - Interview Problems/Phone Screen.ipynb	
+++ b/10-Mock Interviews/02-Large Search Engine Company /Search Engine Company - Interview Problems/.ipynb_checkpoints/05-Phone Screen-checkpoint.ipynb	
@@ -58,23 +58,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.11"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Mock Interviews/Large Search Engine Company /Search Engine Company - Interview Problems/.ipynb_checkpoints/On-Site Question 1 -checkpoint.ipynb b/10-Mock Interviews/02-Large Search Engine Company /Search Engine Company - Interview Problems/01-On-Site Question 1 .ipynb
similarity index 93%
rename from Mock Interviews/Large Search Engine Company /Search Engine Company - Interview Problems/.ipynb_checkpoints/On-Site Question 1 -checkpoint.ipynb
rename to 10-Mock Interviews/02-Large Search Engine Company /Search Engine Company - Interview Problems/01-On-Site Question 1 .ipynb
index c4514711..4c78a6b6 100644
--- a/Mock Interviews/Large Search Engine Company /Search Engine Company - Interview Problems/.ipynb_checkpoints/On-Site Question 1 -checkpoint.ipynb	
+++ b/10-Mock Interviews/02-Large Search Engine Company /Search Engine Company - Interview Problems/01-On-Site Question 1 .ipynb	
@@ -32,9 +32,9 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
@@ -50,5 +50,5 @@
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Mock Interviews/Large Search Engine Company /Search Engine Company - Interview Problems/.ipynb_checkpoints/On-Site Question 2 -checkpoint.ipynb b/10-Mock Interviews/02-Large Search Engine Company /Search Engine Company - Interview Problems/02-On-Site Question 2 .ipynb
similarity index 86%
rename from Mock Interviews/Large Search Engine Company /Search Engine Company - Interview Problems/.ipynb_checkpoints/On-Site Question 2 -checkpoint.ipynb
rename to 10-Mock Interviews/02-Large Search Engine Company /Search Engine Company - Interview Problems/02-On-Site Question 2 .ipynb
index a63ca005..df7821e0 100644
--- a/Mock Interviews/Large Search Engine Company /Search Engine Company - Interview Problems/.ipynb_checkpoints/On-Site Question 2 -checkpoint.ipynb	
+++ b/10-Mock Interviews/02-Large Search Engine Company /Search Engine Company - Interview Problems/02-On-Site Question 2 .ipynb	
@@ -32,23 +32,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.11"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Mock Interviews/Large Search Engine Company /Search Engine Company - Interview Problems/On-Site Question 3 .ipynb b/10-Mock Interviews/02-Large Search Engine Company /Search Engine Company - Interview Problems/03-On-Site Question 3 .ipynb
similarity index 85%
rename from Mock Interviews/Large Search Engine Company /Search Engine Company - Interview Problems/On-Site Question 3 .ipynb
rename to 10-Mock Interviews/02-Large Search Engine Company /Search Engine Company - Interview Problems/03-On-Site Question 3 .ipynb
index 49a04c0d..071f91aa 100644
--- a/Mock Interviews/Large Search Engine Company /Search Engine Company - Interview Problems/On-Site Question 3 .ipynb	
+++ b/10-Mock Interviews/02-Large Search Engine Company /Search Engine Company - Interview Problems/03-On-Site Question 3 .ipynb	
@@ -32,23 +32,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.11"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Mock Interviews/Large Search Engine Company /Search Engine Company - Interview Problems/On-Site Question 4 .ipynb b/10-Mock Interviews/02-Large Search Engine Company /Search Engine Company - Interview Problems/04-On-Site Question 4 .ipynb
similarity index 85%
rename from Mock Interviews/Large Search Engine Company /Search Engine Company - Interview Problems/On-Site Question 4 .ipynb
rename to 10-Mock Interviews/02-Large Search Engine Company /Search Engine Company - Interview Problems/04-On-Site Question 4 .ipynb
index d69bf130..d932316b 100644
--- a/Mock Interviews/Large Search Engine Company /Search Engine Company - Interview Problems/On-Site Question 4 .ipynb	
+++ b/10-Mock Interviews/02-Large Search Engine Company /Search Engine Company - Interview Problems/04-On-Site Question 4 .ipynb	
@@ -24,23 +24,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.11"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Mock Interviews/Large Search Engine Company /Search Engine Company - Interview Problems/.ipynb_checkpoints/Phone Screen-checkpoint.ipynb b/10-Mock Interviews/02-Large Search Engine Company /Search Engine Company - Interview Problems/05-Phone Screen.ipynb
similarity index 92%
rename from Mock Interviews/Large Search Engine Company /Search Engine Company - Interview Problems/.ipynb_checkpoints/Phone Screen-checkpoint.ipynb
rename to 10-Mock Interviews/02-Large Search Engine Company /Search Engine Company - Interview Problems/05-Phone Screen.ipynb
index 8edb0203..1cb58d63 100644
--- a/Mock Interviews/Large Search Engine Company /Search Engine Company - Interview Problems/.ipynb_checkpoints/Phone Screen-checkpoint.ipynb	
+++ b/10-Mock Interviews/02-Large Search Engine Company /Search Engine Company - Interview Problems/05-Phone Screen.ipynb	
@@ -58,23 +58,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.11"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/Mock Interviews/Ride Share Start-Up Company/Ride Share Company - Interview Questions - SOLUTIONS/.ipynb_checkpoints/On-Site Question 1 - SOLUTION-checkpoint.ipynb b/10-Mock Interviews/03-Ride Share Start-Up Company/Ride Share Company - Interview Questions - SOLUTIONS/.ipynb_checkpoints/On-Site Question 1 - SOLUTION-checkpoint.ipynb
similarity index 100%
rename from Mock Interviews/Ride Share Start-Up Company/Ride Share Company - Interview Questions - SOLUTIONS/.ipynb_checkpoints/On-Site Question 1 - SOLUTION-checkpoint.ipynb
rename to 10-Mock Interviews/03-Ride Share Start-Up Company/Ride Share Company - Interview Questions - SOLUTIONS/.ipynb_checkpoints/On-Site Question 1 - SOLUTION-checkpoint.ipynb
diff --git a/Mock Interviews/Ride Share Start-Up Company/Ride Share Company - Interview Questions - SOLUTIONS/.ipynb_checkpoints/On-Site Question 2 - SOLUTION-checkpoint.ipynb b/10-Mock Interviews/03-Ride Share Start-Up Company/Ride Share Company - Interview Questions - SOLUTIONS/.ipynb_checkpoints/On-Site Question 2 - SOLUTION-checkpoint.ipynb
similarity index 100%
rename from Mock Interviews/Ride Share Start-Up Company/Ride Share Company - Interview Questions - SOLUTIONS/.ipynb_checkpoints/On-Site Question 2 - SOLUTION-checkpoint.ipynb
rename to 10-Mock Interviews/03-Ride Share Start-Up Company/Ride Share Company - Interview Questions - SOLUTIONS/.ipynb_checkpoints/On-Site Question 2 - SOLUTION-checkpoint.ipynb
diff --git a/Mock Interviews/Ride Share Start-Up Company/Ride Share Company - Interview Questions - SOLUTIONS/.ipynb_checkpoints/On-Site Question 3 - SOLUTION-checkpoint.ipynb b/10-Mock Interviews/03-Ride Share Start-Up Company/Ride Share Company - Interview Questions - SOLUTIONS/.ipynb_checkpoints/On-Site Question 3 - SOLUTION-checkpoint.ipynb
similarity index 100%
rename from Mock Interviews/Ride Share Start-Up Company/Ride Share Company - Interview Questions - SOLUTIONS/.ipynb_checkpoints/On-Site Question 3 - SOLUTION-checkpoint.ipynb
rename to 10-Mock Interviews/03-Ride Share Start-Up Company/Ride Share Company - Interview Questions - SOLUTIONS/.ipynb_checkpoints/On-Site Question 3 - SOLUTION-checkpoint.ipynb
diff --git a/Mock Interviews/Ride Share Start-Up Company/Ride Share Company - Interview Questions - SOLUTIONS/.ipynb_checkpoints/Phone Screen - SOLUTION-checkpoint.ipynb b/10-Mock Interviews/03-Ride Share Start-Up Company/Ride Share Company - Interview Questions - SOLUTIONS/.ipynb_checkpoints/Phone Screen - SOLUTION-checkpoint.ipynb
similarity index 100%
rename from Mock Interviews/Ride Share Start-Up Company/Ride Share Company - Interview Questions - SOLUTIONS/.ipynb_checkpoints/Phone Screen - SOLUTION-checkpoint.ipynb
rename to 10-Mock Interviews/03-Ride Share Start-Up Company/Ride Share Company - Interview Questions - SOLUTIONS/.ipynb_checkpoints/Phone Screen - SOLUTION-checkpoint.ipynb
diff --git a/Mock Interviews/Ride Share Start-Up Company/Ride Share Company - Interview Questions - SOLUTIONS/On-Site Question 1 - SOLUTION.ipynb b/10-Mock Interviews/03-Ride Share Start-Up Company/Ride Share Company - Interview Questions - SOLUTIONS/On-Site Question 1 - SOLUTION.ipynb
similarity index 100%
rename from Mock Interviews/Ride Share Start-Up Company/Ride Share Company - Interview Questions - SOLUTIONS/On-Site Question 1 - SOLUTION.ipynb
rename to 10-Mock Interviews/03-Ride Share Start-Up Company/Ride Share Company - Interview Questions - SOLUTIONS/On-Site Question 1 - SOLUTION.ipynb
diff --git a/Mock Interviews/Ride Share Start-Up Company/Ride Share Company - Interview Questions - SOLUTIONS/On-Site Question 2 - SOLUTION.ipynb b/10-Mock Interviews/03-Ride Share Start-Up Company/Ride Share Company - Interview Questions - SOLUTIONS/On-Site Question 2 - SOLUTION.ipynb
similarity index 100%
rename from Mock Interviews/Ride Share Start-Up Company/Ride Share Company - Interview Questions - SOLUTIONS/On-Site Question 2 - SOLUTION.ipynb
rename to 10-Mock Interviews/03-Ride Share Start-Up Company/Ride Share Company - Interview Questions - SOLUTIONS/On-Site Question 2 - SOLUTION.ipynb
diff --git a/Mock Interviews/Ride Share Start-Up Company/Ride Share Company - Interview Questions - SOLUTIONS/On-Site Question 3 - SOLUTION.ipynb b/10-Mock Interviews/03-Ride Share Start-Up Company/Ride Share Company - Interview Questions - SOLUTIONS/On-Site Question 3 - SOLUTION.ipynb
similarity index 100%
rename from Mock Interviews/Ride Share Start-Up Company/Ride Share Company - Interview Questions - SOLUTIONS/On-Site Question 3 - SOLUTION.ipynb
rename to 10-Mock Interviews/03-Ride Share Start-Up Company/Ride Share Company - Interview Questions - SOLUTIONS/On-Site Question 3 - SOLUTION.ipynb
diff --git a/Mock Interviews/Ride Share Start-Up Company/Ride Share Company - Interview Questions - SOLUTIONS/Phone Screen - SOLUTION.ipynb b/10-Mock Interviews/03-Ride Share Start-Up Company/Ride Share Company - Interview Questions - SOLUTIONS/Phone Screen - SOLUTION.ipynb
similarity index 100%
rename from Mock Interviews/Ride Share Start-Up Company/Ride Share Company - Interview Questions - SOLUTIONS/Phone Screen - SOLUTION.ipynb
rename to 10-Mock Interviews/03-Ride Share Start-Up Company/Ride Share Company - Interview Questions - SOLUTIONS/Phone Screen - SOLUTION.ipynb
diff --git a/Mock Interviews/Ride Share Start-Up Company/Ride Share Company - Interview Questions /.ipynb_checkpoints/On-Site Question 1 -checkpoint.ipynb b/10-Mock Interviews/03-Ride Share Start-Up Company/Ride Share Company - Interview Questions /.ipynb_checkpoints/On-Site Question 1 -checkpoint.ipynb
similarity index 100%
rename from Mock Interviews/Ride Share Start-Up Company/Ride Share Company - Interview Questions /.ipynb_checkpoints/On-Site Question 1 -checkpoint.ipynb
rename to 10-Mock Interviews/03-Ride Share Start-Up Company/Ride Share Company - Interview Questions /.ipynb_checkpoints/On-Site Question 1 -checkpoint.ipynb
diff --git a/Mock Interviews/Ride Share Start-Up Company/Ride Share Company - Interview Questions /.ipynb_checkpoints/On-Site Question 2 -checkpoint.ipynb b/10-Mock Interviews/03-Ride Share Start-Up Company/Ride Share Company - Interview Questions /.ipynb_checkpoints/On-Site Question 2 -checkpoint.ipynb
similarity index 100%
rename from Mock Interviews/Ride Share Start-Up Company/Ride Share Company - Interview Questions /.ipynb_checkpoints/On-Site Question 2 -checkpoint.ipynb
rename to 10-Mock Interviews/03-Ride Share Start-Up Company/Ride Share Company - Interview Questions /.ipynb_checkpoints/On-Site Question 2 -checkpoint.ipynb
diff --git a/Mock Interviews/Ride Share Start-Up Company/Ride Share Company - Interview Questions /.ipynb_checkpoints/On-Site Question 3 -checkpoint.ipynb b/10-Mock Interviews/03-Ride Share Start-Up Company/Ride Share Company - Interview Questions /.ipynb_checkpoints/On-Site Question 3 -checkpoint.ipynb
similarity index 100%
rename from Mock Interviews/Ride Share Start-Up Company/Ride Share Company - Interview Questions /.ipynb_checkpoints/On-Site Question 3 -checkpoint.ipynb
rename to 10-Mock Interviews/03-Ride Share Start-Up Company/Ride Share Company - Interview Questions /.ipynb_checkpoints/On-Site Question 3 -checkpoint.ipynb
diff --git a/Mock Interviews/Ride Share Start-Up Company/Ride Share Company - Interview Questions /.ipynb_checkpoints/Phone Screen -checkpoint.ipynb b/10-Mock Interviews/03-Ride Share Start-Up Company/Ride Share Company - Interview Questions /.ipynb_checkpoints/Phone Screen -checkpoint.ipynb
similarity index 100%
rename from Mock Interviews/Ride Share Start-Up Company/Ride Share Company - Interview Questions /.ipynb_checkpoints/Phone Screen -checkpoint.ipynb
rename to 10-Mock Interviews/03-Ride Share Start-Up Company/Ride Share Company - Interview Questions /.ipynb_checkpoints/Phone Screen -checkpoint.ipynb
diff --git a/Mock Interviews/Ride Share Start-Up Company/Ride Share Company - Interview Questions /On-Site Question 1 .ipynb b/10-Mock Interviews/03-Ride Share Start-Up Company/Ride Share Company - Interview Questions /On-Site Question 1 .ipynb
similarity index 100%
rename from Mock Interviews/Ride Share Start-Up Company/Ride Share Company - Interview Questions /On-Site Question 1 .ipynb
rename to 10-Mock Interviews/03-Ride Share Start-Up Company/Ride Share Company - Interview Questions /On-Site Question 1 .ipynb
diff --git a/Mock Interviews/Ride Share Start-Up Company/Ride Share Company - Interview Questions /On-Site Question 2 .ipynb b/10-Mock Interviews/03-Ride Share Start-Up Company/Ride Share Company - Interview Questions /On-Site Question 2 .ipynb
similarity index 100%
rename from Mock Interviews/Ride Share Start-Up Company/Ride Share Company - Interview Questions /On-Site Question 2 .ipynb
rename to 10-Mock Interviews/03-Ride Share Start-Up Company/Ride Share Company - Interview Questions /On-Site Question 2 .ipynb
diff --git a/Mock Interviews/Ride Share Start-Up Company/Ride Share Company - Interview Questions /On-Site Question 3 .ipynb b/10-Mock Interviews/03-Ride Share Start-Up Company/Ride Share Company - Interview Questions /On-Site Question 3 .ipynb
similarity index 100%
rename from Mock Interviews/Ride Share Start-Up Company/Ride Share Company - Interview Questions /On-Site Question 3 .ipynb
rename to 10-Mock Interviews/03-Ride Share Start-Up Company/Ride Share Company - Interview Questions /On-Site Question 3 .ipynb
diff --git a/Mock Interviews/Ride Share Start-Up Company/Ride Share Company - Interview Questions /Phone Screen .ipynb b/10-Mock Interviews/03-Ride Share Start-Up Company/Ride Share Company - Interview Questions /Phone Screen .ipynb
similarity index 100%
rename from Mock Interviews/Ride Share Start-Up Company/Ride Share Company - Interview Questions /Phone Screen .ipynb
rename to 10-Mock Interviews/03-Ride Share Start-Up Company/Ride Share Company - Interview Questions /Phone Screen .ipynb
diff --git a/Mock Interviews/Social Network Company/Social Network Company - Interview Questions - SOLUTIONS/.ipynb_checkpoints/On-Site Question 1 - SOLUTION-checkpoint.ipynb b/10-Mock Interviews/04-Social Network Company/Social Network Company - Interview Questions - SOLUTIONS/.ipynb_checkpoints/On-Site Question 1 - SOLUTION-checkpoint.ipynb
similarity index 100%
rename from Mock Interviews/Social Network Company/Social Network Company - Interview Questions - SOLUTIONS/.ipynb_checkpoints/On-Site Question 1 - SOLUTION-checkpoint.ipynb
rename to 10-Mock Interviews/04-Social Network Company/Social Network Company - Interview Questions - SOLUTIONS/.ipynb_checkpoints/On-Site Question 1 - SOLUTION-checkpoint.ipynb
diff --git a/Mock Interviews/Social Network Company/Social Network Company - Interview Questions - SOLUTIONS/.ipynb_checkpoints/On-Site Question 2 - SOLUTION-checkpoint.ipynb b/10-Mock Interviews/04-Social Network Company/Social Network Company - Interview Questions - SOLUTIONS/.ipynb_checkpoints/On-Site Question 2 - SOLUTION-checkpoint.ipynb
similarity index 100%
rename from Mock Interviews/Social Network Company/Social Network Company - Interview Questions - SOLUTIONS/.ipynb_checkpoints/On-Site Question 2 - SOLUTION-checkpoint.ipynb
rename to 10-Mock Interviews/04-Social Network Company/Social Network Company - Interview Questions - SOLUTIONS/.ipynb_checkpoints/On-Site Question 2 - SOLUTION-checkpoint.ipynb
diff --git a/Mock Interviews/Social Network Company/Social Network Company - Interview Questions - SOLUTIONS/.ipynb_checkpoints/On-Site Question 3 - SOLUTION-checkpoint.ipynb b/10-Mock Interviews/04-Social Network Company/Social Network Company - Interview Questions - SOLUTIONS/.ipynb_checkpoints/On-Site Question 3 - SOLUTION-checkpoint.ipynb
similarity index 100%
rename from Mock Interviews/Social Network Company/Social Network Company - Interview Questions - SOLUTIONS/.ipynb_checkpoints/On-Site Question 3 - SOLUTION-checkpoint.ipynb
rename to 10-Mock Interviews/04-Social Network Company/Social Network Company - Interview Questions - SOLUTIONS/.ipynb_checkpoints/On-Site Question 3 - SOLUTION-checkpoint.ipynb
diff --git a/Mock Interviews/Social Network Company/Social Network Company - Interview Questions - SOLUTIONS/.ipynb_checkpoints/Phone Screen - SOLUTION-checkpoint.ipynb b/10-Mock Interviews/04-Social Network Company/Social Network Company - Interview Questions - SOLUTIONS/.ipynb_checkpoints/Phone Screen - SOLUTION-checkpoint.ipynb
similarity index 100%
rename from Mock Interviews/Social Network Company/Social Network Company - Interview Questions - SOLUTIONS/.ipynb_checkpoints/Phone Screen - SOLUTION-checkpoint.ipynb
rename to 10-Mock Interviews/04-Social Network Company/Social Network Company - Interview Questions - SOLUTIONS/.ipynb_checkpoints/Phone Screen - SOLUTION-checkpoint.ipynb
diff --git a/Mock Interviews/Social Network Company/Social Network Company - Interview Questions - SOLUTIONS/On-Site Question 1 - SOLUTION.ipynb b/10-Mock Interviews/04-Social Network Company/Social Network Company - Interview Questions - SOLUTIONS/On-Site Question 1 - SOLUTION.ipynb
similarity index 100%
rename from Mock Interviews/Social Network Company/Social Network Company - Interview Questions - SOLUTIONS/On-Site Question 1 - SOLUTION.ipynb
rename to 10-Mock Interviews/04-Social Network Company/Social Network Company - Interview Questions - SOLUTIONS/On-Site Question 1 - SOLUTION.ipynb
diff --git a/Mock Interviews/Social Network Company/Social Network Company - Interview Questions - SOLUTIONS/On-Site Question 2 - SOLUTION.ipynb b/10-Mock Interviews/04-Social Network Company/Social Network Company - Interview Questions - SOLUTIONS/On-Site Question 2 - SOLUTION.ipynb
similarity index 100%
rename from Mock Interviews/Social Network Company/Social Network Company - Interview Questions - SOLUTIONS/On-Site Question 2 - SOLUTION.ipynb
rename to 10-Mock Interviews/04-Social Network Company/Social Network Company - Interview Questions - SOLUTIONS/On-Site Question 2 - SOLUTION.ipynb
diff --git a/Mock Interviews/Social Network Company/Social Network Company - Interview Questions - SOLUTIONS/On-Site Question 3 - SOLUTION.ipynb b/10-Mock Interviews/04-Social Network Company/Social Network Company - Interview Questions - SOLUTIONS/On-Site Question 3 - SOLUTION.ipynb
similarity index 100%
rename from Mock Interviews/Social Network Company/Social Network Company - Interview Questions - SOLUTIONS/On-Site Question 3 - SOLUTION.ipynb
rename to 10-Mock Interviews/04-Social Network Company/Social Network Company - Interview Questions - SOLUTIONS/On-Site Question 3 - SOLUTION.ipynb
diff --git a/Mock Interviews/Social Network Company/Social Network Company - Interview Questions - SOLUTIONS/Phone Screen - SOLUTION.ipynb b/10-Mock Interviews/04-Social Network Company/Social Network Company - Interview Questions - SOLUTIONS/Phone Screen - SOLUTION.ipynb
similarity index 100%
rename from Mock Interviews/Social Network Company/Social Network Company - Interview Questions - SOLUTIONS/Phone Screen - SOLUTION.ipynb
rename to 10-Mock Interviews/04-Social Network Company/Social Network Company - Interview Questions - SOLUTIONS/Phone Screen - SOLUTION.ipynb
diff --git a/Mock Interviews/Social Network Company/Social Network Company - Interview Questions /.ipynb_checkpoints/On-Site Question 1-checkpoint.ipynb b/10-Mock Interviews/04-Social Network Company/Social Network Company - Interview Questions /.ipynb_checkpoints/On-Site Question 1-checkpoint.ipynb
similarity index 100%
rename from Mock Interviews/Social Network Company/Social Network Company - Interview Questions /.ipynb_checkpoints/On-Site Question 1-checkpoint.ipynb
rename to 10-Mock Interviews/04-Social Network Company/Social Network Company - Interview Questions /.ipynb_checkpoints/On-Site Question 1-checkpoint.ipynb
diff --git a/Mock Interviews/Social Network Company/Social Network Company - Interview Questions /.ipynb_checkpoints/On-Site Question 2-checkpoint.ipynb b/10-Mock Interviews/04-Social Network Company/Social Network Company - Interview Questions /.ipynb_checkpoints/On-Site Question 2-checkpoint.ipynb
similarity index 100%
rename from Mock Interviews/Social Network Company/Social Network Company - Interview Questions /.ipynb_checkpoints/On-Site Question 2-checkpoint.ipynb
rename to 10-Mock Interviews/04-Social Network Company/Social Network Company - Interview Questions /.ipynb_checkpoints/On-Site Question 2-checkpoint.ipynb
diff --git a/Mock Interviews/Social Network Company/Social Network Company - Interview Questions /.ipynb_checkpoints/On-Site Question 3-checkpoint.ipynb b/10-Mock Interviews/04-Social Network Company/Social Network Company - Interview Questions /.ipynb_checkpoints/On-Site Question 3-checkpoint.ipynb
similarity index 100%
rename from Mock Interviews/Social Network Company/Social Network Company - Interview Questions /.ipynb_checkpoints/On-Site Question 3-checkpoint.ipynb
rename to 10-Mock Interviews/04-Social Network Company/Social Network Company - Interview Questions /.ipynb_checkpoints/On-Site Question 3-checkpoint.ipynb
diff --git a/Mock Interviews/Social Network Company/Social Network Company - Interview Questions /.ipynb_checkpoints/Phone Screen -checkpoint.ipynb b/10-Mock Interviews/04-Social Network Company/Social Network Company - Interview Questions /.ipynb_checkpoints/Phone Screen -checkpoint.ipynb
similarity index 100%
rename from Mock Interviews/Social Network Company/Social Network Company - Interview Questions /.ipynb_checkpoints/Phone Screen -checkpoint.ipynb
rename to 10-Mock Interviews/04-Social Network Company/Social Network Company - Interview Questions /.ipynb_checkpoints/Phone Screen -checkpoint.ipynb
diff --git a/Mock Interviews/Social Network Company/Social Network Company - Interview Questions /On-Site Question 1.ipynb b/10-Mock Interviews/04-Social Network Company/Social Network Company - Interview Questions /On-Site Question 1.ipynb
similarity index 100%
rename from Mock Interviews/Social Network Company/Social Network Company - Interview Questions /On-Site Question 1.ipynb
rename to 10-Mock Interviews/04-Social Network Company/Social Network Company - Interview Questions /On-Site Question 1.ipynb
diff --git a/Mock Interviews/Social Network Company/Social Network Company - Interview Questions /On-Site Question 2.ipynb b/10-Mock Interviews/04-Social Network Company/Social Network Company - Interview Questions /On-Site Question 2.ipynb
similarity index 100%
rename from Mock Interviews/Social Network Company/Social Network Company - Interview Questions /On-Site Question 2.ipynb
rename to 10-Mock Interviews/04-Social Network Company/Social Network Company - Interview Questions /On-Site Question 2.ipynb
diff --git a/Mock Interviews/Social Network Company/Social Network Company - Interview Questions /On-Site Question 3.ipynb b/10-Mock Interviews/04-Social Network Company/Social Network Company - Interview Questions /On-Site Question 3.ipynb
similarity index 100%
rename from Mock Interviews/Social Network Company/Social Network Company - Interview Questions /On-Site Question 3.ipynb
rename to 10-Mock Interviews/04-Social Network Company/Social Network Company - Interview Questions /On-Site Question 3.ipynb
diff --git a/Mock Interviews/Social Network Company/Social Network Company - Interview Questions /Phone Screen .ipynb b/10-Mock Interviews/04-Social Network Company/Social Network Company - Interview Questions /Phone Screen .ipynb
similarity index 100%
rename from Mock Interviews/Social Network Company/Social Network Company - Interview Questions /Phone Screen .ipynb
rename to 10-Mock Interviews/04-Social Network Company/Social Network Company - Interview Questions /Phone Screen .ipynb
diff --git a/Algorithm Analysis and Big O/.ipynb_checkpoints/Big O Notation-checkpoint.ipynb b/Algorithm Analysis and Big O/.ipynb_checkpoints/Big O Notation-checkpoint.ipynb
deleted file mode 100644
index 28cb4211..00000000
--- a/Algorithm Analysis and Big O/.ipynb_checkpoints/Big O Notation-checkpoint.ipynb	
+++ /dev/null
@@ -1,206 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Big O Notation\n",
-    "In this lecture we will go over how the syntax of Big-O Notation works and how we can describe algorithms using Big-O Notation!\n",
-    "\n",
-    "We previously discussed the functions below:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "# First function (Note the use of xrange since this is in Python 2)\n",
-    "def sum1(n):\n",
-    "    '''\n",
-    "    Take an input of n and return the sum of the numbers from 0 to n\n",
-    "    '''\n",
-    "    final_sum = 0\n",
-    "    for x in xrange(n+1): \n",
-    "        final_sum += x\n",
-    "    \n",
-    "    return final_sum"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "def sum2(n):\n",
-    "    \"\"\"\n",
-    "    Take an input of n and return the sum of the numbers from 0 to n\n",
-    "    \"\"\"\n",
-    "    return (n*(n+1))/2"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Now we want to develop a notation to objectively compare the efficiency of these two algorithms. A good place to start would be to compare the number of assignments each algorithm makes.\n",
-    "\n",
-    "The original **sum1** function will create an assignment **n+1** times, we can see this from the range based function. This means it will assign the final_sum variable n+1 times. We can then say that for a problem of n size (in this case just a number n) this function will take 1+n steps.\n",
-    "\n",
-    "This **n** notation allows us to compare solutions and algorithms relative to the size of the problem, since sum1(10) and sum1(100000) would take very different times to run but be using the same algorithm. We can also note that as n grows very large, the **+1** won't have much effect. So let's begin discussing how to build a syntax for this notation.\n",
-    "________\n",
-    "\n",
-    "Now we will discuss how we can formalize this notation and idea.\n",
-    "\n",
-    "Big-O notation describes *how quickly runtime will grow relative to the input as the input get arbitrarily large*.\n",
-    "\n",
-    "Let's examine some of these points more closely:\n",
-    "\n",
-    "* Remember, we want to compare how quickly runtime will grows, not compare exact runtimes, since those can vary depending on hardware.\n",
-    "\n",
-    "* Since we want to compare for a variety of input sizes, we are only concerned with runtime grow *relative* to the input. This is why we use **n** for notation.\n",
-    "\n",
-    "* As n gets arbitrarily large we only worry about terms that will grow the fastest as n gets large, to this point, Big-O analysis is also known as **asymptotic analysis**\n",
-    "\n",
-    "\n",
-    "As for syntax sum1() can be said to be **O(n)** since its runtime grows linearly with the input size. In the next lecture we will go over more specific examples of various O() types and examples. To conclude this lecture we will show the potential for vast difference in runtimes of Big-O functions.\n",
-    "\n",
-    "## Runtimes of Common Big-O Functions\n",
-    "\n",
-    "Here is a table of common Big-O functions:"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "<table>\n",
-    "<tr>\n",
-    "    <th><strong>Big-O</strong></th>\n",
-    "    <th><strong>Name</strong></th>\n",
-    "</tr>\n",
-    "<tr>\n",
-    "    <td>1</td>\n",
-    "    <td>Constant</td>\n",
-    "</tr>\n",
-    "<tr>\n",
-    "    <td>log(n)</td>\n",
-    "    <td>Logarithmic</td>\n",
-    "</tr>\n",
-    "    <tr><td>n</td>\n",
-    "    <td>Linear</td>\n",
-    "</tr>\n",
-    "    <tr><td>nlog(n)</td>\n",
-    "    <td>Log Linear</td>\n",
-    "</tr>\n",
-    "    <tr><td>n^2</td>\n",
-    "    <td>Quadratic</td>\n",
-    "</tr>\n",
-    "    <tr><td>n^3</td>\n",
-    "    <td>Cubic</td>\n",
-    "</tr>\n",
-    "    <tr><td>2^n</td>\n",
-    "    <td>Exponential</td>\n",
-    "</tr>\n",
-    "</table>"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Now let's plot the runtime versus the Big-O to compare the runtimes. We'll use a simple [matplotlib](http://matplotlib.org/) for the plot below. (Don't be concerned with how to use matplotlib, that is irrelevant for this part)."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 43,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<matplotlib.text.Text at 0x10cec7cd0>"
-      ]
-     },
-     "execution_count": 43,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAyUAAAJhCAYAAABfKh9RAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
-      "text/plain": [
-       "<matplotlib.figure.Figure at 0x10a777950>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "from math import log\n",
-    "import numpy as np\n",
-    "import matplotlib.pyplot as plt\n",
-    "%matplotlib inline\n",
-    "plt.style.use('bmh')\n",
-    "\n",
-    "# Set up runtime comparisons\n",
-    "n = np.linspace(1,10,1000)\n",
-    "labels = ['Constant','Logarithmic','Linear','Log Linear','Quadratic','Cubic','Exponential']\n",
-    "big_o = [np.ones(n.shape),np.log(n),n,n*np.log(n),n**2,n**3,2**n]\n",
-    "\n",
-    "# Plot setup\n",
-    "plt.figure(figsize=(12,10))\n",
-    "plt.ylim(0,50)\n",
-    "\n",
-    "for i in range(len(big_o)):\n",
-    "    plt.plot(n,big_o[i],label = labels[i])\n",
-    "\n",
-    "\n",
-    "plt.legend(loc=0)\n",
-    "plt.ylabel('Relative Runtime')\n",
-    "plt.xlabel('n')"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Note how much of a difference a Big-O efficiency can make for the same n value against the projected runtime! Clearly we want to choose algorithms that stay away from any exponential, quadratic, or cubic behavior!\n",
-    "\n",
-    "In the next lecture we will learn how to properly denote Big-O and look at examples of various problems and calculate the Big-O of them!"
-   ]
-  }
- ],
- "metadata": {
-  "anaconda-cloud": {},
-  "kernelspec": {
-   "display_name": "Python [conda env:python3]",
-   "language": "python",
-   "name": "conda-env-python3-py"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.5.1"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 0
-}
diff --git a/Algorithm Analysis and Big O/Big O Notation.ipynb b/Algorithm Analysis and Big O/Big O Notation.ipynb
deleted file mode 100644
index 28cb4211..00000000
--- a/Algorithm Analysis and Big O/Big O Notation.ipynb	
+++ /dev/null
@@ -1,206 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Big O Notation\n",
-    "In this lecture we will go over how the syntax of Big-O Notation works and how we can describe algorithms using Big-O Notation!\n",
-    "\n",
-    "We previously discussed the functions below:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "# First function (Note the use of xrange since this is in Python 2)\n",
-    "def sum1(n):\n",
-    "    '''\n",
-    "    Take an input of n and return the sum of the numbers from 0 to n\n",
-    "    '''\n",
-    "    final_sum = 0\n",
-    "    for x in xrange(n+1): \n",
-    "        final_sum += x\n",
-    "    \n",
-    "    return final_sum"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "def sum2(n):\n",
-    "    \"\"\"\n",
-    "    Take an input of n and return the sum of the numbers from 0 to n\n",
-    "    \"\"\"\n",
-    "    return (n*(n+1))/2"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Now we want to develop a notation to objectively compare the efficiency of these two algorithms. A good place to start would be to compare the number of assignments each algorithm makes.\n",
-    "\n",
-    "The original **sum1** function will create an assignment **n+1** times, we can see this from the range based function. This means it will assign the final_sum variable n+1 times. We can then say that for a problem of n size (in this case just a number n) this function will take 1+n steps.\n",
-    "\n",
-    "This **n** notation allows us to compare solutions and algorithms relative to the size of the problem, since sum1(10) and sum1(100000) would take very different times to run but be using the same algorithm. We can also note that as n grows very large, the **+1** won't have much effect. So let's begin discussing how to build a syntax for this notation.\n",
-    "________\n",
-    "\n",
-    "Now we will discuss how we can formalize this notation and idea.\n",
-    "\n",
-    "Big-O notation describes *how quickly runtime will grow relative to the input as the input get arbitrarily large*.\n",
-    "\n",
-    "Let's examine some of these points more closely:\n",
-    "\n",
-    "* Remember, we want to compare how quickly runtime will grows, not compare exact runtimes, since those can vary depending on hardware.\n",
-    "\n",
-    "* Since we want to compare for a variety of input sizes, we are only concerned with runtime grow *relative* to the input. This is why we use **n** for notation.\n",
-    "\n",
-    "* As n gets arbitrarily large we only worry about terms that will grow the fastest as n gets large, to this point, Big-O analysis is also known as **asymptotic analysis**\n",
-    "\n",
-    "\n",
-    "As for syntax sum1() can be said to be **O(n)** since its runtime grows linearly with the input size. In the next lecture we will go over more specific examples of various O() types and examples. To conclude this lecture we will show the potential for vast difference in runtimes of Big-O functions.\n",
-    "\n",
-    "## Runtimes of Common Big-O Functions\n",
-    "\n",
-    "Here is a table of common Big-O functions:"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "<table>\n",
-    "<tr>\n",
-    "    <th><strong>Big-O</strong></th>\n",
-    "    <th><strong>Name</strong></th>\n",
-    "</tr>\n",
-    "<tr>\n",
-    "    <td>1</td>\n",
-    "    <td>Constant</td>\n",
-    "</tr>\n",
-    "<tr>\n",
-    "    <td>log(n)</td>\n",
-    "    <td>Logarithmic</td>\n",
-    "</tr>\n",
-    "    <tr><td>n</td>\n",
-    "    <td>Linear</td>\n",
-    "</tr>\n",
-    "    <tr><td>nlog(n)</td>\n",
-    "    <td>Log Linear</td>\n",
-    "</tr>\n",
-    "    <tr><td>n^2</td>\n",
-    "    <td>Quadratic</td>\n",
-    "</tr>\n",
-    "    <tr><td>n^3</td>\n",
-    "    <td>Cubic</td>\n",
-    "</tr>\n",
-    "    <tr><td>2^n</td>\n",
-    "    <td>Exponential</td>\n",
-    "</tr>\n",
-    "</table>"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Now let's plot the runtime versus the Big-O to compare the runtimes. We'll use a simple [matplotlib](http://matplotlib.org/) for the plot below. (Don't be concerned with how to use matplotlib, that is irrelevant for this part)."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 43,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<matplotlib.text.Text at 0x10cec7cd0>"
-      ]
-     },
-     "execution_count": 43,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAyUAAAJhCAYAAABfKh9RAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAALEgAACxIB0t1+/AAAIABJREFUeJzs3Xd4VGX6//H3zGTSE0ogCSSEJlKlfrGCKKgoFoowLOqK\n69efou5a6WBvILDytW91XRV1EEVXXQWxLYKi4K4gCkgLEBMwECaZJFPP748kA1mQZjJnyud1XVzO\nzDlzzp1jkjN3nud+bothGIiIiIiIiJjFanYAIiIiIiIS35SUiIiIiIiIqZSUiIiIiIiIqZSUiIiI\niIiIqZSUiIiIiIiIqZSUiIiIiIiIqRLCeTKHw7ENcAEBwOd0Ok91OBzNgVeBtsA2wOF0OsvCGZeI\niIiIiJgn3CMlBnCO0+ns43Q6T619bSqw1Ol0ngwsq30uIiIiIiJxwozpW5b/en4Z8Hzt4+eBEeEN\nR0REREREzGTGSMkHDofjK4fD8f9qX8txOp0ltY9LgJwwxyQiIiIiIiYKa00JcJbT6fzR4XC0BJY6\nHI7vD97odDoNh8NhHPzasmXL6j0XEREREZHIN2TIkP+eIfWzwjpS4nQ6f6z97x7gDeBUoMThcOQC\nOByOVsDucMYkIiIiIiLmCltS4nA4Uh0OR0bt4zTgAmAt8BYwvna38cDicMUkIiIiIiLmC+f0rRzg\nDYfDUXfel5xO5xKHw/EV4HQ4HP9L7ZLAP3eAvn37hiPOmLZ582Y6duxodhgxI5av5573v6X8m51k\nnduZJv/TrtHPF8vX0gyxdD29AYPbvvAD8NhpCSTZjnk2QIOIpWsZCequp2EYlM4fim/7V6RfNI2M\noZPMDi3q6HuzYel6Now1a9ac0PvClpQ4nc6tQO/DvL4XOC9ccYjIsfHuKQcgMTvD5Egk3m13GwSB\nNmmEPSGRxuNZ909827/Cmt6CtHNuNDscETGZOrqLyCGMoHEgKWmppETMtbW8Zr2T9um6ZcUKIxig\n/J0HAEi/YCLWpHSTIxIRs+k3vIgcwldWieEPYstIxpaSaHY4EufqkpJ2GRoliRVVXznxF2/A1ryA\n1DPHH/0NIhLzwr0ksIhEAe/umlGSJI2SSATYWlGTlHRIV1ISEwJeKv75CADpF03DkpBkckBiJsMw\n2L17N4FAwOxQACgqKjI7hKhhs9nIzs7GYmmY381KSkTkEKonkUixz2NQ5oUUG2SnmB2NNISEtYsI\n7NtJQquupPQbbXY4YrLdu3eTkZFBamqq2aHIcaqsrGT37t3k5DRM33NN3xKRQ9SNlKieRMy2pa6e\nJMOCtYH+GifmCVaXY//yrwBkXHwXFqvN5IjEbIFAQAlJlEpNTW3QES4lJSJyCI9GSiRCbKuoK3JX\nQhIL3B8/jaW6DHv7U0nqPtTscEQkgigpEZF6AlVeAuXVWBKs2Jvqr1diLhW5x45AxU+4P3oKgMxL\n7mmweegiEhuUlIhIPQcvBWyx6kODmCcQNNju1khJrHAv/T2Gp4JA27NI7HiG2eGISIRRUiIi9XhK\nVE8ikWFXJfiCkJ0M6XYlJdHMv3cH7uU1tSTeM24yORqRY/faa68xePBgCgoK6NatGw6Hg88//7xR\nzrV8+XJ69OjRYMdbsGABw4YNa7DjNTYlJSJST2g54JxMkyOReLelPAjUFLlLdKt4bxYEvCT3vRyj\n5clmhyNyTJ566ilmzJjBnXfeyYYNG1i7di3XXXcd7733ntmhxSQlJSJSj2e3C1CRu5hPRe6xwffj\nd1R9+SpYE8i4aJrZ4YgcE5fLxezZs5kzZw4XX3wxKSkp2Gw2LrjgAu699148Hg/Tpk2je/fudO/e\nnenTp+P1eoGaEY/u3bvz1FNP0blzZ7p168aCBQtCx166dClnnHEGBQUFof0qKytxOBwUFxdTUFBA\nQUEBJSUlrF69mgsuuID27dvTrVs3pkyZgs/nCx0rKyuLv/3tb/Tv35/27dszefJkADZs2MDEiRP5\n8ssvKSgooEOHDuG9gCdAfUpEJCToC+ArdYNF07fEfAcvByzRq/ydB8EIknrmNSS07ACuzWaHJFHk\ngj9//YuPseS6Psf9nlWrVlFdXc0ll1xy2O3z5s1jzZo1fPrppwBceeWVzJ07l+nTpwOwZ88eysvL\nWb9+PR9++CG/+c1vuOSSS8jMzOSWW27hueee4/TTT8flcrFt2zZSU1NZuHAhN9xwA+vWrQudp7i4\nmEceeYQ+ffqwa9cuxowZw1/+8hcmTJhw4OtbsoRly5bhcrkYPHgwQ4cOZciQIcybN48XXniBd999\n97i/fjNopEREQnylFWAY2JunYbWrf4CYp9xnsLsaEq2Qn6qkJFp5t3yOZ90/sSSmkT50ktnhiByz\nffv2kZWVhdV6+I/KixYtYtKkSWRlZZGVlcXkyZNxOp2h7Xa7ncmTJ2Oz2Tj//PNJS0tj06ZNoW3f\nf/89LpeLzMxMevbsCdR0t/9vvXr1ol+/flitVtq0acP48eNZsWJFvX1uvfVWMjMzyc/PZ8CAAaGk\n5nDHi2QaKRGREE9JzdStpGzVk4i56kZJ2qVbsGkVuKhkGAauN+8GIO3cm7BlNkzXZ4kvJzLK0RCa\nNWtGaWkpwWDwsIlJcXExbdq0CT3Pz8+nuLi43vsPfl9KSgputxuA559/nnnz5nH//ffTvXt37r77\nbvr373/YOH744QdmzpzJf/7zHyorKwkEAvTu3bvePgd3VD/4PNFGIyUiEhLq5K56EjFZXVLSQVO3\nolb1N2/j2/4V1vSWpJ37W7PDETkup556KklJSbz99tuH3Z6bm0thYWHo+c6dO8nNzT2mY/fp04cX\nX3yRTZs2MWzYMK699lqAw/bumThxIp07d+arr75i+/btzJgxg2AweEznibZeQEpKRCTEE0pKNFIi\n5tpcm5R0VFISlYyAj/K3HwAgfegkrMn6Q4dEl8zMTKZOncrkyZN59913qaysxOfzsXTpUu69915G\njRrFvHnzKC0tpbS0lDlz5uBwOI56XJ/Px8KFC3G5XNhsNtLT07HZaqZLt2zZkn379uFyuUL7V1RU\nkJ6eTmpqKhs3buS555476jnqpm21bNmSoqKieoXxkUzTt0QEACNohBonJuXoA4SYxx802F6hkZJo\nVvn5SwT2/ICtRQdSzxxvdjgiJ+Tmm28mJyeHefPmccMNN5Cenk7v3r2544476NmzJ+Xl5QwcOBCA\n4cOHM3HixNB7jzRK4XQ6mTJlCoFAgE6dOvGHP/wBgJNPPplRo0bRt29fgsEgK1eu5IEHHuC2227j\niSee4JRTTmHkyJEsX778iOepe23QoEF06dKFLl26YLPZ2LhxY4Ncl8aipEREAPDtc2P4AtgykrGl\nJJodjsSxHW4DXxByUyBNTROjTtDjpuL92QBkXDwDi81uckQiJ2706NGMHj36sNtmzZrFrFmzDnl9\nwIABrF27tt5r//73v0OPFy5c+LPne+KJJ+o9z8nJ4YsvvvjZ/X/66ad6z5966qnQY7vdziuvvPKz\n7400mr4lIsBBTRNVTyIm09St6Ob++GmCrhLsBX1J7j3C7HBEJEooKRER4OCmiaonEXMdKHLXLSra\nBMr34P6w5i+9GZfeG3WFtiJiHv3GFxEAvCWqJxHzGYahkZIoVrFkLoangqRu55PUaYDZ4YhIFFFS\nIiIYhoFnj1beEvPt9cB+L6QlQHaK2dHI8fD/tJXKz54Di4WMS+4xOxwRiTJKSkSEQIWHYKUXa3IC\nCZnJZocjcezg/iRWTf2JKuXvPAhBPyn9f4W9dTezwxGRKKOkRETq1ZNoDriYabOaJkYlb+Eaqr9+\nAxKSyLhomtnhiEgUUlIiIlp5SyLGlvKaTsVKSqKHYRiU/+M+ANLOvh5bs3yTIxKRaKSkRETwlGjl\nLTFfdcBgp7vmxtQuXUlJtPB89wHeTf/CktqU9PNuNzscEYlSSkpERCMlEhG2VxgEgfw0C0k2JSXR\nwAgGQqMk6efdjjW1qckRicSGnTt3UlBQgGEYP7tPVlYW27Zta5Dz3XnnncydO7dBjnWilJSIxLlA\ntQ///iosNiv2rDSzw5E4FloKOFMJSbSo+moh/h/XY2uWT9rA/2d2OCINplevXnzyySemnT8/P5/C\nwsJQneell17KCy+80GjnmzdvHhMnTmy04x8LJSUicc5btxRwy3QsVv1KEPNscak/STQxfNVU/PNh\nANIvmo7FrpX7JHZYLBbTFn7x+/2HvBYPi9DoE4hInPOqnkQiQNAw2FKhlbeiiftffyKwbycJrbqR\n8j9jzA5HpNF5PB6mTZtG9+7d6d69O9OnT8fr9Ya2P/7443Tr1o3u3bvz97//vd70qiVLljBo0CDa\ntm3LKaecwuzZs0PvKywsJCsrixdffJGePXsycuRIduzYQVZWFoFAgAcffJCVK1cyZcoUCgoKmDp1\naui9H3/8Mf3796d9+/ZMnjw59PqCBQu48MILmTFjBu3bt6dfv3588cUXvPTSS5xyyil07tyZV155\nJbT/zTffzEMPPRR6/u6773L22WfTtm1b+vXrx7JlyxrjktaT0OhnEJGI5lE9iUSAkiqo9EOzRGie\npKQk0gUry6j44DEAMi69B4vVZnJEEqveyz3zFx/jwuIVDRBJzRSnNWvW8OmnnwJw5ZVXMnfuXKZP\nn84HH3zAM888w+LFiykoKOC2226r9960tDSeffZZunbtyvr16xk1ahSnnHIKw4YNC+2zcuVKvvji\nC6xWKyUlJUDNCMnMmTNZtWoVDoeDq666qt5xlyxZwrJly3C5XAwePJihQ4cyZMgQANasWcP48ePZ\nsmULDz/8MNdeey2XXHIJa9asYfny5YwfP57LLruM1NTU0LkAVq9ezU033cTzzz/PoEGD+PHHH6mo\nqGiQa3gkGikRiXPeuh4lORopEfNsUX+SqFLxwXyMyjISOw0kqet5ZocjEhaLFi1i0qRJZGVlkZWV\nxeTJk3E6nQAsXryYK6+8ks6dO5OSklJvNAPgrLPOomvXrgB069aNkSNH8tlnn9XbZ8qUKaSkpJCU\nlHTY8x+u6P3WW28lMzOT/Px8BgwYwLp160Lb2rZty7hx47BYLIwcOZLi4mImTZqE3W7n3HPPJTEx\nka1btx5yzBdffJGrrrqKQYMGAdCqVSs6dep0HFfqxGikRCSOGf4g3lI3AIkt0k2ORuLZZvUniRqB\nfTtxf/oHADIuvTcu5rqLeRpqlKMhFBcX06ZNm9Dz/Px8iouLASgpKaFfv36hba1bt6733q+++or7\n77+f77//Hq/Xi9frZcSIEfX2ycvLO+L5D/ezlpOTE3qckpKC2+0OPW/ZsmXocXJyTc1XixYt6r12\nuBGQoqIiLrjggiPG0hg0UiISx7w/lUPQwN48DWui/kYh5gmtvKWkJOKVv/sI+D0k9xlJYkEfs8MR\nCZvc3FwKCwtDz3fu3EmrVq2AmuRg165doW0HPwa4/vrrGTZsGOvWrWPbtm1cc801BIPBevscKcEP\nZ/Kfl5fHli1bwna+OkpKROJYXT1JYo7qScQ8FT6DkiqwW6FNmpKSSObb+Q1VX70CNjsZF99ldjgi\njcrr9VJdXR36N2rUKObNm0dpaSmlpaXMmTOHMWNqFnkYMWIECxYsYOPGjVRWVh7S88PtdtO0aVMS\nExNZvXo1ixYtOq5Eo2XLlsfUk+RIfU2O9b1XXXUVCxYs4NNPPyUYDFJUVMSmTZtO+LjHSkmJSByr\nqydJaql6EjHPD7VLAbdPt2CzKimJVIZh4HrzbjAM0gZcR0KLdmaHJNKoxo4dS15eXuif1+uld+/e\nDBw4kIEDB9K7d+9Qb4/zzjuP66+/nuHDh9O/f3/69+8PQGJiIgBz5szhkUceoaCggLlz5zJy5Mh6\n5zpcgnLwazfccANvvfUWHTp0YNq0aT8bc917Drek8dGSoLrtffv25cknn2TGjBm0a9eO4cOHs3Pn\nziO+tyFYfklGFQ7Lli0LBdi3b18zQ4kJmzdvpmPHjmaHETOi/XrueukLPEVl5I7pR2q7Fkd/QyOK\n9msZaaLper62LcAHRUGG5Vu5rCDyVnGKpmvZmKrXL2XfH8diSWlC9sw1WNOandBxdD0bTixcy6Ki\nokPqL2LBhg0bGDBgACUlJVhjuAfY4f7/rVmzJvR4yJAhx/yXpti9SiJyRIZhhBonJqlHiZiobqTk\nJHVyj1hGwE/5W3cDkH7BxBNOSERi2dtvv43H46GsrIz77ruPiy66KKYTkoamKyUSp3z7KjF8AWwZ\nydhSE80OR+KUJ2BQ6DawoJW3IlnVqpfwF2/AltWWtIHXmR2OSER6/vnn6dy5M/369SMhIeGQuhI5\nMi23IxKnQvUkapooJtpaYRA0oCDNQrJNSUkkCnoqalbcAjIuvgtLwuF7KIjEu4ULF5odQlTTSIlI\nnPIUq2mimE9TtyKf+8MnCJbvxt62H8l9Rh79DSIiJ0BJiUic8pTUjpQoKRET1SUlnZSURKTA/h9x\nf/QUAJnDH1CjRBFpNEpKROKQYRh4lZSIyQJBgy1qmhjRyv/5CIa3kuSel5DY4XSzwxGRGKakRCQO\n+fdXEfT4saUmYkvX/HAxxw63gTcIOcmQmaikJNL4ir6l6ouXwJpAxqX3mB2OiMQ4JSUicahu6lZi\nbqamY4hpfihXPUkkK3/rHjAMUs+6loSW0d0LQ0Qin5ISkTikqVsSCTbV1pN0zNStKNJ4vluG5/sP\nsSRnkDF0ktnhiESElStXctppp5kdRszSnUAkDtWtvKWkRMxiGAabVeQekYxgANdbNdO10s+/E2t6\nlskRiYRfr169+OSTT+q9dsYZZ/DFF1+YFFHsU1IiEmcMw9DKW2K6kiqo8EMTO7RQWVNEqfryFfw/\nrsfWLJ+0s683OxwRU1gsloiZ3hwIBMwOISyUlIjEGb+rmmC1D2uKHVtGstnhSJzaVLfqVmbk3PgF\ngh435e8+DNQ2SrTrd4RIneXLl9OjR4/Q8169evHkk08ycOBA2rVrx//+7//i8XhC299//33OPvts\n2rdvz4UXXsj69etD2+bPn0+/fv0oKCjgjDPO4J133gltW7BgARdeeCEzZszgpJNOYvbs2eH5Ak2m\nju4icebgehJ9GBSzbHYFAU3dijTuj58muP9H7G16k9z3crPDEWHu9Pd+8TEmPnxhA0RyKIvFwptv\nvslrr71GUlISF154IS+//DLXXHMN33zzDbfccgsvv/wyffr04dVXX+WKK67gyy+/xG630759e959\n911ycnJ44403mDBhAqtXryY7OxuANWvWMHr0aDZu3IjX622U+CONRkpE4kxo6lZuE5MjkXh2oJO7\nbkORIuAqwb3scQAyLrsfi1X/b0SO5oYbbiAnJ4emTZty4YUXsnbtWgCef/55xo8fT9++fbFYLPzq\nV78iKSmJL7/8EoDhw4eTk5MDwMiRI+nQoQOrV68OHTc3N5frrrsOq9VKcnJ8jFhqpEQkzniK9wOQ\nmJ1hciQSr/Z5DH7yQLIN8lLNjkbqVPxzFobXTVL3C0nqNMDscESAxhvlaCh1IxsAycnJFBcXA7Bj\nxw5effVV/vSnP4W2+/3+0PZXXnmFZ555hsLCQgDcbjd79+4N7ZuXlxeO8COKkhKROGIYBp7d5YBG\nSsQ8PxzUxd2qKYQRwVf8PZWfvwBWmxolivwCddOi8/PzueOOO7jjjjsO2WfHjh3cfvvtLF68mFNP\nPRWLxcKgQYMwDOOQ48QTjc2KxJFAeTXBSi/WZDsJmfExHCyR58DUrfi76Uaq8rfuBSNI6hnjsed2\nNjsckYjg9Xqprq4O/fP7/Ud9T11icfXVV/Pcc8+xevVqDMPA7XazZMkSKioqcLvdWCwWsrKyCAaD\nvPTSS3z33XeN/eVEPI2UiMQRj4rcJQL8UFvkrqQkMng2fopn/RIsSemkXzjF7HBEIsbYsWPrPT/t\ntNOOeO88eBnh3r17M3/+fKZMmcLmzZtJSUnh9NNP58wzz6RLly7cfPPNDB06FKvVytixYzn99NMP\ne5x4oqREJI7UJSWJ6k8iJqn0GxRVQoIF2qXH30030hjBAK7FMwBIG3IrtoyWJkckEhn+/e9/H/c+\nU6bUT+qHDBnCkCFDDvveGTNmMGPGjMNuGzduHOPGjTvGSGOHpm+JxJEDK28pKRFzbHYZGEDbdAt2\nq5ISs1V98RL+om+xNcsn/ZybzA5HROKYkhKROGEYBt7i2qQkW0mJmGNjbT2J+pOYL1hdfqBR4iX3\nYElMMTkiEYlnSkpE4kTA7SFQ6cWalEBCU334EHPUJSUnN1FSYraKZf9HsHw39rb/Q3LfUWaHIyJx\nTkmJSJzwFB+oJ4nHAjoxX3XAYEeFgRXokKHvQTP59+7A/dFTAGSOeFC/E0TEdEpKROLEwStviZhh\ns8sgSE09SbJNH4LNVP6P+8DvIbnPKBLbn2p2OCIiSkpE4oVXSYmYTFO3IoN36yqqv34d7MlqlCgi\nEUNJiUic0MpbYraN+2uTEhW5m8YIBg8sAXzOTSQ0b2NyRCIiNZSUiMQBf4WHQIUHS6KNhKapZocj\ncag6YLC9tp6ko5IS01R//Tq+7auxZuaQPuRWs8MREQlRUiISB7zq5C4m21JeU0/SRvUkpjG8Vbj+\ncR8AGcOmY03OMDkiEfk5O3fupKCgAMMwzA4lbJSUiMQBFbmL2TR1y3wVHz9NsGwXCXmnkHLqFWaH\nIxLxevXqxSeffNKo57j00kt54YUXDnk9Pz+fwsLCuPpDopISkThQl5QkKikRk4SK3JWUmCKwvxj3\nB/OB2iWArTaTIxKJfBaLpdGTgnCc43j4/X7Tzq2kRCQOaKREzOSprSexACcpKTFF+bsPYXjdJPUY\nRlKngWaHIxLVPB4P06ZNo3v37nTv3p3p06fj9XpD2x9//HG6detG9+7d+fvf/05WVhbbtm07rnMU\nFhaSlZVFMBgEakZUHn74YS666CIKCgq4/PLL2bt3b2j/L7/8kqFDh9K+fXvOPvtsPvvss9C2l156\nidNPP52CggL69u3L3/72t9C25cuX0717dx5//HG6du3KLbfccmIXpQEkmHZmEQmLgNtDoLwai92G\nvXma2eFIHNpSbhAwoCDNQkqCkpJw8+38hqpVC8BmJ3P4fWaHI3JcfvVov198jFcmr26ASA6YN28e\na9as4dNPPwXgyiuvZO7cuUyfPp0PPviAZ555hsWLF1NQUMBtt93WYCMhr7/+Ok6nk9atW+NwOHjy\nySe5++67KSoqYty4cTz77LOcd955fPzxx4wfP55Vq1bRvHlzsrOzefXVV2nbti0rVqzA4XDQt29f\nevbsCcCePXsoKyvjm2++IRAINEisJ0IjJSIxzrO7dpQkOyOihoglfmxSfxLTGIaBa/FMMAzSBlxH\nQsuOZockEvUWLVrEpEmTyMrKIisri8mTJ+N0OgFYvHgxV155JZ07dyYlJYWpU6c2SLG6xWLhiiuu\noEOHDiQnJzNixAjWrl0LwMKFCzn//PM577zzADjnnHPo3bs3S5YsAeD888+nbdu2AJx55pmce+65\nrFy5MnRsq9XK1KlTsdvtJCcn/+JYT5RGSkRinOfH2nqS3CYmRyLxSvUk5vGsfRfvD8uxpDYjfegk\ns8MROW4NPcrREIqLi2nT5kCPn/z8fIqLiwEoKSmhX78DozutW7dusPNmZ2eHHicnJ+N2uwHYsWMH\nb775Ju+9915oeyAQ4OyzzwZg6dKlPProo2zZsoVgMEhVVRXdunUL7ZuVlUViYmKDxXmilJSIxDhP\n8X4AktU0UUzgDRhsK1c9iRkMvxfXWzUd2zMunII1tanJEYnEhtzcXAoLC+ncuTNQs3xvq1atAMjJ\nyWHXrl2hfQ9+3Fjy8/NxOBzMnz//kG0ej4drrrmGZ599lmHDhmGz2fj1r39db/QmUmZRaPqWSIzz\nFNdO32qlkRIJv60VBn4D8tMgVfUkYeVe/mcCP23Blt2J1LN+Y3Y4IlHJ6/VSXV0d+uf3+xk1ahTz\n5s2jtLSU0tJS5syZw5gxYwAYMWIECxYsYOPGjVRWVjJ37tyjnsPv9x9yjsP5uWlgY8aM4f333+fD\nDz8kEAhQXV3N8uXLKSoqwuv14vV6ycrKwmq1snTpUj766KMTvyCNSEmJSAzzl1cTcHuwJiWok7uY\noq4/SadM3W7CKejeS8X7cwDIHP4AFpvd5IhEotPYsWPJy8sL/Xv00UeZOHEivXv3ZuDAgQwcOJDe\nvXszceJEAM477zyuv/56hg8fTv/+/enfvz/AEadH3XnnnfXO8bvf/e6wSwUf/Pzg7Xl5ebz44os8\n9thjnHzyyfTs2ZOnnnoKwzDIyMhg1qxZXHvttXTo0IHXX3+diy666GePayZLpHeKXLZsWSjAvn37\nmhlKTNi8eTMdO6rQsaFE+vV0byqhZPG/SWmbRSvH/5gdzhFF+rWMNpFyPeet87PJZTChi43ezaMz\nMYmUa3k89i+aQuW//kRi53NoPmFRxHzogOi8npEqFq5lUVFRg9ZdRJoNGzYwYMAASkpKsFqj83fg\nkRzu/9+aNWtCj4cMGXLMv3xi7+qISEho6pbqScQEvqDB1tp6kk4ZkfOhONb5ijdQ+dlfwWKtaZQY\nQQmJSDx4++238Xg8lJWVcd9993HRRRfFZELS0HSFRGKY58eaIvckrbwlJthaXlNP0joV0uz6YBwu\n5W/eBcEAqWdcjb1Vt6O/QUQa1PPPP0/nzp3p168fCQkJx1RXIlp9SyRmGYaBp6QuKdFIiYTfgf4k\n+vtXuFSvX4rnuw+wJGeSPmy62eGIxKWFCxeaHUJU0p1CJEb5y6oIVvuxpSZiyzCvGZLEr+/3qz9J\nOBl+L643ZgCQfuFkbOktTI5IROTYKSkRiVF1/UmSWjXRnHIJO2/gQD2JOrmHh/tffySw5wds2Z1I\nG3Cd2eGIiBwXJSUiMSqUlORo6paE3w+19SRt0iykqT9JowuU7z6wBPDIh7AkmN+dWUTkeCgpEYlR\napooZtpQO3Wrs0ZJwqL8nYcwqstJ6nYByV3PMzscEZHjpqREJAYZQQNPSd1ywEpKJPzqkpIuSkoa\nnW/Hf6he5sniAAAgAElEQVT64kWwJpA54kGzwxEROSFKSkRikK+0AsMXICEzGVuqpnFIeFX5DbZX\nGFgtcJKK3BuVYRjsf2MaGAZpg24gIfsks0MSETkhSkpEYpBGScRMG10GBtAh3UKSTUlJY6r++g18\nWz7Hmt6C9AsmmR2OiJygwsJCsrKyCAaDDXbMxx57jFtvvbXBjtfYlJSIxCA1TRQzqZ4kPAxvJa63\n7gEg4+KZWFO0qIVIQ1uwYAFnnXUW+fn5dO3alYkTJ+JyucwO6xDLly+nR48e9V67/fbb+b//+z+T\nIjp+SkpEYlBo5S01TRQTbNhf85c+JSWNq+LDJwiW7SIhvycpp11pdjgiMefJJ5/k/vvv54EHHmD7\n9u0sWbKEHTt2MGrUKHw+X9jiMAwDwzDCdj6zqKO7SIwxAkE8e8oBJSUSfi6vwa5KsFuhfYaSksYS\n2LeTimWPA9Bk5CNYrDaTIxJpHD/e1vwXH6PV/L3H/R6Xy8Wjjz7KE088weDBgwFo06YNf/3rX+nT\npw9Op5MVK1bQunVrZsyoaVq6fPlyJkyYwLp16wCYP38+L7zwAnv27CEvL4+ZM2dy8cUXAxAMBrnn\nnnt45ZVXyMjI4Kabbqp3/ksvvZTTTz+df/3rX6xdu5bly5ezYsUKnnjiCYqKimjRogW33HIL11xz\nDW63G4fDgdfrpaCgAIBVq1bxt7/9jW3btvHss88C8Pnnn3PPPfewceNG0tPTmT59OuPGjTuxi9oI\nlJSIxBjvnnIIGNibp2FNspsdjsSZja6av+adlGHBblVS0lhcb90DviqS+4wkseMZZocjEnNWrVpF\ndXU1l156ab3X09LSOP/88/nkk0+w2498j23fvj3vvvsuOTk5vPHGG0yYMIHVq1eTnZ3N888/z5Il\nS/jkk09ITU3l6quvPqTRsdPpxOl00qlTJ4LBINnZ2bz66qu0bduWFStW4HA46Nu3Lz179mThwoXc\ncMMNoYQIqHe8HTt24HA4mD9/PsOHD8flcrFr164GuFINR0mJSIw5UE+iURIJP9WTND7v5pVUf/0G\n2JPJvOw+s8MRaVQnMsrREPbu3UtWVhZW66GVDjk5OfznP/8hNzf3iMcYPnx46PHIkSOZP38+a9as\n4cILL2Tx4sXceOONtG7dGqip//jss89C+1ssFsaNG0fnzp0BsFqtnH/++aHtZ555Jueeey4rV66k\nZ8+eh53edfBrr732Gueccw6jRo0CoFmzZjRr1uxYLkXYKCkRiTFaeUvM9L3qSRqVEQzULAEMpA++\nBVuzfJMjEolNzZs3p7S0lGAweEhiUlxcTHZ29lGP8corr/DMM89QWFgIgNvtprS0NHSMvLy80L75\n+Yf+LB+8HWDp0qU8+uijbNmyhWAwSFVVFd26dTumr2fXrl20a9fumPY1iwrdRWKMVt4Ss+z1GOyp\nhhQbFKQrKWkMVV+8hH/nN1ibtiZ9yC1mhyMSs0499VSSkpJ466236r1eUVHBsmXLGDx4MGlpaVRV\nVYW2lZSUhB7v2LGD22+/PZREbN26la5du4ZGL3Jzc+tNn9q5c+chMRw8/crj8XDNNddwyy23sHHj\nRrZu3cr5558fOt5/T/36b/n5+Wzbtu3YL4AJlJSIxJCg14+3tAIsFhKzM8wOR+LM97VTtzplWrAd\n5QYpxy9Y5aL8nZqO7ZmX3YclMdXkiERiV2ZmJpMmTWLq1KksW7YMn89HYWEh1157Le3atWPkyJH0\n6NGDpUuXUlZWRklJSaigHGpGRSwWS6j3yEsvvcR3330X2j5ixAj+8Ic/UFRURFlZ2WGX7j14+pXX\n68Xr9YamlC1dupSPPvootL1ly5bs27fvZ5crHj16NB9//DGLFy/G7/ezd+/eevUnkUBJiUgM8e4u\nBwMSW6RjtWs1HgkvLQXcuCqWzCFY8RP2DqeT3GeU2eGIxLxbbrmFmTNncvfdd9O2bVv69OmDxWJh\n4cKFJCQkMHbsWHr06EGvXr0YM2YMo0aNCo1YdOnShZtvvpmhQ4fSpUsXvvvuO04//fTQsa+++moG\nDx7M2WefzeDBg7n00ksPGe04+HlGRgazZs3i2muvpUOHDrz++utcdNFFoe0nn3wyo0aNom/fvnTo\n0IHi4mIsFkvoGPn5+TidTp566ik6duzIoEGD+Pbbbxvz8h03S6Sve7xs2bJQgH379jUzlJiwefNm\nOnbsaHYYMSPSrmfZV9vY+9EGMnrm0XJoj6O/IYJE2rWMduG+noZhMG21nzIv3NUrgby02ElMIuF7\n01+yiT2zzwIjQIs7PsTeppep8fwSkXA9Y0UsXMuioqJQsXekW7BgAffddx/vv/9+xNdnhMvh/v+t\nWbMm9HjIkCHHfDNQobtIDPEWq8hdzFFSDWVeyEiA1ppV1OBcb86EoJ+U038d1QmJSDS74oorSEhI\nYPXq1UpKGoGSEpEYcqCTu5ISCa+Dp24dreBSjk/1+qV41i/FkpxBxsUzzA5HJK45HA6zQ4hZqikR\niRGBah++fZVYbFYSW6SbHY7EmQP9SXRbaUiG34PrjekApF8wEVvG0ZchFRGJRrp7iMQIT+3UrcTs\nDCw2/WhL+AQNQ00TG4n742cJ7NmMLbsTaWffYHY4IiKNRp9cRGKE58cyAJJaaeqWhNcOt4HbD1lJ\n0DLZ7GhiR6CsiIolcwFoMuoRLAmJJkckItJ4lJSIxIhQ00QlJRJm68tqRkm6NlU9SUNyvXUPhtdN\nUs9LSOoy2OxwREQalZISkRhgGEYoKUlWUiJh9l1dUqJ6kgbj2byC6jWLwJ5M5vAHzQ5HRKTR6Q4i\nEgP8rmoClV6sKXYSmmo9VgkfT8Bgc7mBBeiiepIGYQT8uBZNASB98C0kZBWYHJGIHK9evXrxySef\nHHbbypUrOe2008IcUeQL65LADofDBnwF7HQ6nZc6HI7mwKtAW2Ab4HA6nWXhjEkkFoTqSXKbaPqM\nhNUml0HAgLbpFtLs+t5rCJUrnsNf9C225gWkD7nV7HBE4tprr73G008/zQ8//EB6ejo9evTgjjvu\nqNed/XAO7qb+38444wy++OKLxgg3qoV7pORWYD1Q16V9KrDU6XSeDCyrfS4ix8lTpKlbYo4DU7eU\nkDSEQMVPlL/7MACZIx7EkphickQi8eupp55ixowZ3HnnnWzYsIG1a9dy3XXX8d5775kdWkwKW1Li\ncDjygWHAn4G6u9dlwPO1j58HRoQrHpFYUl1X5N5aSYmE13e1TRO7NlVS0hDK33kQo2o/iZ3PIemU\ni80ORyRuuVwuZs+ezZw5c7j44otJSUnBZrNxwQUXcO+993LzzTfz0EMPhfZfvnw5PXr0qHeMNWvW\ncMYZZ9ChQwd++9vf4vF4Drvvzp07ufrqqzn55JM56aSTmDJlSni+yAgTzulbjwGTgMyDXstxOp0l\ntY9LgJwwxiMSE4xAEO/umh4l6uQu4VTmNSiqhCQrdMhQUvJLeQu/purzF8CaQJNRszQVUwTYMuf9\nX3yMDpOGHvd7Vq1aRXV1NZdccsnP7nOkn1HDMHjttddYtGgRqampjBs3jrlz5zJjxox6+wUCAcaN\nG8egQYP4wx/+gNVq5euvvz7ueGNBWJISh8NxCbDb6XR+7XA4zjncPk6n03A4HMbhttXZvHlzY4QX\nd3QdG5bp13NfNRZ/ECPdzraiHebG8guZfi1jTGNfz3VVaUAWeQlVFG7d06jnMlujf28aQZIW3orN\nMPD1/hXbK2xQEbs/D/pZbzi6lo1j3759ZGVlYbX+/KQiw/j5j60Wi4XrrruO1q1bA3DHHXcwderU\nQ5KS1atXU1JSwv333x8619HqVSJJVVVVg30Phmuk5EzgMofDMQxIBjIdDscLQInD4ch1Op3FDoej\nFbD7SAfp2LFjGEKNbZs3b9Z1bECRcD33f11IKZBR0ILsKP5/GwnXMpaE43p+uskPGPRrnUbH1plH\n3T9aheNaVn6xgP0l67Bm5pA/9kGsybqecnSxcC2LioqOuP1ERjkaQrNmzSgtLSUYDB4xMTmSvLy8\n0OP8/HyKi4sP2WfXrl20adPmhM9htpSUlFDiVWfNmjUndKywXAGn0znd6XS2cTqd7YFfAR86nc5f\nA28B42t3Gw8sDkc8IrHkQNPEpiZHIvHEMIwDRe5No/NmGimCVS7K/3EfABmX3RfTCYlItDj11FNJ\nSkri7bffPuz2tLQ0qqqqQs9LSkoO2WfXrl2hxzt37iQ3N/eQffLy8ti5cyeBQKABoo5uZt1J6sa7\nZgHnOxyOjcDg2ucichxCTRNV5C5hVFQJLh80SYRWWiDqF6l4bxbBij3Y259GSr8xZocjIkBmZiZT\np05l8uTJvPvuu1RWVuLz+Vi6dCn33nsvPXr0YOnSpZSVlVFSUsKzzz5b7/2GYfDnP/+ZoqIi9u3b\nx+9//3tGjRp1yHn69etHTk4O9913H5WVlVRXV8ftcsFh7VMC4HQ6PwE+qX28Fzgv3DGIxIpAtQ/f\nXjcWm5XElhlmhyNxJLTqVpOfX4tfjs7343e4//UnsFhocvlsXUuRCHLzzTeTk5PDvHnzuOGGG0hP\nT6d3797ccccd9OzZk08++YRevXrRtm1bxo0bx9NPPx16r8ViYcyYMVx++eUUFxczbNgw7rzzznrb\nAWw2GwsWLGDatGn07NkTi8XC6NGj47K5YtiTEhFpOHWjJIk5mVhsmkIj4bNeU7d+McMwcL0+FYIB\nUs+6Fnt+T7NDEpH/Mnr0aEaPHn3YbX/5y1/qPb/xxhtDj//9738DcOuthzZAHTBgAGvXrg09z8/P\n54UXXmiIcKOa7iYiUexAPYmmbkn4+IIGm1xqmvhLVf/nTbyb/oUltRkZw6abHY6IiKmUlIhEsVA9\niZISCaPN5Qa+IOSlQmaikpITEfS4cS2eCUDGxTOxpjU3OSIREXMpKRGJUoZhUP1jGaCREgkvrbr1\ny7k/mE+wrIiE/J6knnG12eGIiJhOdxSRKOXfX0Wwyoc1NZGEJlr+SMKnLinp1lSjJCfCv2czFR8+\nAVBT3G61mRyRiIj5lJSIRKmDp25pxR4JlwqfwQ63QYIFTsrQ993xMgyD/a9NhoCXlFPHkdg+/lbY\nERE5HCUlIlFKU7fEDOvLDAygU6aFRJuSkuNV/c0/8G74CEtKEzIuvdfscEREIoaSEpEo5SnSylsS\nft+W1fQn6d5MCcnxCnoqcL1Rs8pWxsUzsWW0NDkiEZHIoaREJAoZ/iCe3S4AknKVlEh4BA0j1J+k\nm4rcj1vFknkEy4qwt+lN6pnXmB2OiEhE0V1FJAp59rggYGBvnoYt2W52OBIndrih3AfNE6GV1lY4\nLr7iDbg/egosFjJHz1Fxu4iYqqCggMLCwqPuV1hYSFZWFsFgsNFjUlIiEoXUNFHMcGDqllWLKxwH\nwzBwLZoMQT8pp/+axLb9zA5JRI6iV69e5OXlUVBQEPo3depUs8M6IZdeeukhHeMLCwspKCgwKaLD\nSzA7ABE5fnX1JGqaKOG0fp+WAj4R1V+/XtO5Pa05mZfcbXY4InIMLBYLL7/8MmeffbbZofxi0fJH\nJI2UiESh6rqRktZNTY5E4kWl32BLuYHVAl2aRMcNLhIEq124Ft8FQOYld6tzu0iUu/POOxk/fnzo\n+b333svIkSMBWL58Od27d+exxx6jU6dO9O7dm9deey20r8vl4sYbb+Tkk0+mV69ezJs3D8Oo+WPP\nggULuOiii7j77rvp0KEDffr04YMPPqj33t/97nd069aN7t2789BDD4WmVB3pvQ8++CArV65kypQp\n9UZ7srKy2LZtGwBLlixh0KBBtG3bllNOOYXZs2c33gU8Ao2UiESZQJUXf1kllgQriS3SzQ5H4sR3\nZQZBoFOGhZQEJSXHquKfswm6irG37UfKaVeZHY5I1JmwwveLj/HsmSdWe1mXMBzswQcfZNCgQbz8\n8su0a9eOl156iU8//TS0fc+ePezdu5f169fz5ZdfMnbsWHr37s1JJ53ElClTqKio4Ouvv2bv3r1c\nfvnl5OTkcNVVNb8b1qxZwxVXXMHmzZv529/+xq233sq3334LwM0330x2djarV6/G7Xbzq1/9iry8\nPK655pojvnfmzJmsWrUKh8MROs9/S0tL49lnn6Vr166sX7+eUaNGccoppzBs2LATum4nSiMlIlGm\nrp4kMScTi00/whIe6+vqSTR165j5itbj/tcfwWKlyei5WKz6eRWJFoZh8Otf/5r27duH/r3wwguk\npKTwzDPPMGPGDCZMmMDs2bNp1apVvfdOnz4du93OmWeeyfnnn8/ixYsJBAK88cYb3HXXXaSlpdGm\nTRtuuukmnE5n6H1t2rTh17/+NRaLhbFjx1JcXMyePXvYvXs3H3zwAQ899BApKSm0aNGCG2+8kTfe\neOOo7z346/k5Z511Fl27dgWgW7dujBw5ks8++6yhLuUx00iJSJSpLqppmpjcSlO3JDwMw+Db2qWA\nuzfTB+tjYRgGrtcmQTBA6oDrsLfpZXZIIlHpREc5fimLxcKLL7542JqSfv360a5dO0pLSxkxYkS9\nbU2bNiUl5cDyhG3atKGkpIS9e/fi8/lo06ZNaFt+fj4//vhj6Hl2dnbocWpqKgBut5vS0lJ8Pl8o\ncQAIBoPk5+cf9b0tW7YMfT0/56uvvuL+++/n+++/x+v14vV6D/m6wkF3F5EoEypyz1NSIuFRVAll\nXsi0Q36q2dFEh6ovX8W7ZSXW9BZkDJtudjgi0oD+/Oc/4/V6yc3N5fHHH6+3raysjMrKytDzHTt2\nkJubS1ZWFna7vd4yvDt37qR169ZHPV9eXh5JSUls3ryZrVu3snXrVrZv337MoxlHK3S//vrrGTZs\nGOvWrWPbtm1cc801YVkC+L8pKRGJIkbQoPrHmpESFblLuHx70NStaFnFxUzByv2Uv3UPABmX3Yc1\nVT+rItHocFOefvjhBx5++GH++Mc/8swzz/D444+zbt26evvMmjULn8/HypUrWbp0KcOHD8dqtTJi\nxAgeeughKioq2LFjB8888wxjxow5ahy5ubmce+65zJgxg/LycoLBIFu3bmXFihXH9HW0bNkyVNR+\nOG63m6ZNm5KYmMjq1atZtGiRKb/rlZSIRBFfaQWGN0BCZjIJ6UlmhyNxQlO3jk/5Px8mWLEHe4fT\nSen/K7PDEZETdMUVV9TrU3L11VczYcIEbrvtNrp160aHDh246667mDBhAj5fTUF+dnY2TZs2pVu3\nbkyYMIHf//73nHTSSQDMnj2b1NRU+vbty7BhwxgzZgxXXnklUDOa8d+JwMHPn376aXw+H2eccQYd\nOnTgN7/5DSUlJcf03htuuIG33nqLDh06MG3atEO+zjlz5vDII49QUFDA3LlzQ6uJHe5YjclypMKX\nSLBs2bJQgH379jUzlJiwefNmOnbsaHYYMSPc19P17x38tHQ9aV1zybkktuao63uzYTXU9awOGNy5\nyk/QgLn9E0izx99IyfFcS9+O//DT74eAxUKLiR9jb929kaOLPvpZbzixcC2LioqOaQpTNFi+fDkT\nJkw4ZOQklh3u/9+aNWtCj4cMGXLMNw392UskioSK3DV1S8Jkw36DgAHtMyxxmZAcDyMYZP9rk8AI\nkjbw/ykhERE5DkpKRKKIR0mJhNm3tV3ctRTw0VWtegnf9q+wZuaSftFUs8MREROo7u7EKSkRiRKB\nSi++fbVNE1tmmB2OxIGapYBrity7KSk5oqB7L65/3AdA5vAHsCZnmhyRiITbgAEDWLt2rdlhRC0l\nJSJRIrTqVm4TNU2UsCiphlIPpCdA23QlJUfi+se9GO69JHYaSHLfUWaHIyISdfTJRiRK1PUn0VLA\nEi7r9tWMknRtasGqKQk/y7vlc6o+fxFsiTWd23WtRESOm5ISkShRvWsfoKaJEj7rautJTtFSwD/L\nCPjY77wDgPQht5CQ08nkiESii81mq9dsUKJHZWUlNputwY6X0GBHEpFGYwSDeIpdACS3amJyNBIP\nqvwGG10GFlTkfiTuj5/BX/w9thbtST/vdrPDEYk62dnZ7N69m7KyMrNDoaqqipSUFLPDiBo2m43s\n7OwGO56SEpEo4N1TgeELkNA0BVuamiZK4/tuv0HQgJO0FPDP8pcWUv7ebACaXP4olkR9mBE5XhaL\nhZycHLPDAGr6vsRKz5RopDF5kShQvatuKeBmJkci8WLt3pp6kh7NlJAcjmEYuF6fAr4qkvuMJKnr\nELNDEhGJakpKRKLAgf4kmroljS9oGKwrUz3JkXjWvovn2/exJGeQOeIhs8MREYl6utuIRIG6Tu5a\neUvCYXuFQbkPmidC61Szo4k8QU8F+1+fAkDGxXdha5JrckQiItFPSYlIhPO7Pfj3V2Gx20hsmW52\nOBIHQqtuNbdqedvDqPjnLIJlRdjb9CH1rN+YHY6ISExQUiIS4eqmbiW1aoLFqh9ZaXxr96me5Of4\ndq7F/ekfwGKliWMeFmvDLYcpIhLP9AlHJMJVh+pJNHVLGl+Z16DQDXYrdM5UUnIwIxhk/8I7IBgg\ndeB12Nv0NjskEZGYoaREJMJ56lbeUtNECYO6qVtdmlhItCkpOVjlyr/j274aa2YuGcOmmx2OiEhM\nUVIiEsGMQBBPSU3TxCQ1TZQwqJu6dYqmbtUTKN9N+dv3AZA56mGsyZkmRyQiEluUlIhEMM/ucgx/\nEHvzNGwpiWaHIzHOFzT4vnYp4B5aCrie8jfvxqjaT1KXIST3Gm52OCIiMUd3HZEI5tFSwBJGm1wG\nniDkp0LzJI2U1LHu+JKqr5xgTyZz9BytSCYi0giUlIhEsAOd3DV1Sxrf2r0aJflvht9D4sezAMi4\nYCIJLdqZGo+ISKzSnUckQhmGQfWufQAk5zUzORqJdYZhhOpJejbXSECdimWPYy0rJCHnZNLO/a3Z\n4YiIxCwlJSIRyu+qJlDhwZpsx56VZnY4EuOKq+AnD6QnQLt0JSUA/j1bqFj6ewAyx8zDkqC6LhGR\nxqKkRCRCHRglaao57NLo6kZJujezYNX3G4ZhsN95B/g9+LtcTNJJZ5kdkohITFNSIhKhqneqP4mE\nzze1/UlOUT0JAFVfvop306dY0prjHXCb2eGIiMQ83X1EIpRH9SQSJhU+g80uA5sFujfVKEmg4idc\nb84EIHP4g5CiPwyIiDQ2JSUiEShQ7cP7UwXYLCTmqkmbNK5v9hkYQOcmFlISlJSUL74Lw72XxJMH\nkdJ/rNnhiIjEBSUlIhEo1J8ktwnWBJvJ0Uis+8/e2lW31MUdz4aPqfrqVbAn02TMPNVziYiEiZIS\nkQgU6k+iehJpZN6AwXe1Xdx7NY/vW4LhrawpbgcyLphEQssOJkckIhI/4vsOJBKhqneqnkTC4/v9\nBt4gFKRZaBbnXdzL359LoHQbCa26kjZYPUlERMJJSYlIhDECQTzF+wGNlEjjq5u61SvOGyb6ir7F\n/dETYLHQZOx8LDa72SGJiMQVJSUiEcZT4sLwB7FnpWFLUbM2aTxBw2DtPk3dMoIB9r96GwQDpJ71\nvyS26292SCIicSd+70IiEUr1JBIu2yoMXD5ongR5qWZHY57Kz/6Kb/tqrE1akXHJTLPDERGJS0pK\nRCKM6kkkXP6z98AoSbyuMhUo20X52w8A0OTyR7EmawluEREzKCkRiSCGYVBdpJESCQ/Vk8D+RVMx\nPBUknXIxyT0vNjscEZG4paREJIL49lUSrPRiS00koWkcz6eRRldSZVBcBak26JQRn0lJ9Tdv41n7\nDpakdJpcPsvscERE4pqSEpEI4qmrJ8lvFrfTaSQ86kZJejSzYLPG3/dasMrF/kVTAMi45C5sTfNM\njkhEJL4pKRGJINW7aupJkjR1SxrZwfUk8aj8nQcI7v8Re9t+pJ51rdnhiIjEvfi8G4lEKBW5Szi4\nvAZbyg0SLNC9WfyNkni3rqLys7+CNaGmJ4nVZnZIIiJxT0mJSIQIVHrx7avEYreRlJ1hdjgSw9bu\nMzCAzk0sJNviKykx/F72O28HwyDt3N9ib93d7JBERAQlJSIRIzR1q1UTLDb9aErj+WZfTT1Jzzhc\ndcv90ZP4f/wOW4v2ZAydZHY4IiJSS598RCKEmiZKOHgCBuvLaupJejaLr1uAv2QT5e/PAaDJmHlY\nElNMjkhEROrE1x1JJIKpnkTC4dsyA18Q2qdbaJYUPyMlRjBI2au3gt9DyqlXkNT5HLNDEhGRgygp\nEYkAQV8AT4kLLJDcuonZ4UgM+7q0ZupWn6z4SUgAKlc8h2/L51gzsskc8aDZ4YiIyH9RUiISATxF\nZRA0SMzOxJpkNzsciVG+oMHafTVTt/pkxc+v/8C+nZT/4z4AMkc/ijVVUyRFRCJN/NyVRCJYVd3U\nrXxN3ZLG8/1+g+oA5KdCy+T4GCkxDIP9zjswPBUk9byElF6XmR2SiIgchpISkQhQV0+SoqREGtGB\nqVvx86u/evVreL77AEtyJk0uf9TscERE5GfEz51JJEIZgWDN9C00UiKNJ2AYoS7u8ZKUBCp+Yv8b\n0wDIHPEAtia5JkckIiI/Jz7uTCIRzFPswvAHsWelYUtNNDsciVGbXAZuP+QkQ6s4WQnX9fo0DPde\nEjudTcppV5kdjoiIHIGSEhGTVe/cC0ByfnOTI5FY9nXpgVESiyX260mqv32f6jWLwJ5Ck7Hz4+Jr\nFhGJZkpKRExWFaon0YpA0jiChsG/98bPUsDBahf7F94JQMaw6SS0aGduQCIiclRKSkRMZAQNqneq\nnkQa17YKg/1eaJ4IBWmxn5SU/+N+gmVF2Av6kjZogtnhiIjIMVBSImIi755yDK+fhCYpJGTGyUR/\nCbu6qVu942DqlmfzCio/+ytYE2jyq8exWG1mhyQiIsdASYmIiarVn0QamWEYoaWA+8b41C3DW8X+\nV24FIP2827C37mZyRCIicqyUlIiYqGpHbZF7GyUl0jh2VsJPHsi0Q4eM2E5Kyt+fQ2DPZhJyTib9\ngomW5fgAACAASURBVDvNDkdERI6DkhIRkxiGoaaJ0ujqRkl6NbdijeGpW76d3+D+6AmwWGqmbSUk\nmR2SiIgcByUlIibx7XUTrPJhS0sioWmq2eFIjDrQxT12ExIj4KfslVsgGCB14P8jsf2pZockIiLH\nSUmJiEmqd9TWk7RpFvPFx2KO4kqDH6sg1QadM2P3e8z90VP4d36DrVkbMi6eaXY4IiJyApSUiJhE\nRe7S2FbXjpL0zrJgs8ZmUuIv2Uj5e7MAaDL2MaxJ6SZHJCIiJ0JJiYgJDMM4qGmikhJpHKt/qklK\n+mXF5q96Ixig7OXfgd9DyqnjSOoy2OyQRETkBMXmnUokwvld1QTKq7Em27G30F92peH95LdTVAWp\nCdClSWyOkrg//QO+bV9ibdKKzBEPmR2OiIj8AkpKRExQXbcUcH5T1ZNIo9hQXbN4Qp/msTl1y79n\nM+XvPAhAE8fvsaY2NTkiERH5JZSUiJjgQD1Jc5MjkVhkGEYoKenXIvZ+zRvBYM20LV81Kf/jILn7\nULNDEhGRXyj27lYiUUBF7tKYiiqhNGAnLSE2V92q/Nef8G35HGtGNpkjHzE7HBERaQBKSkTCzF/h\nwbevEovdRlJOhtnhSAxafVBvklibuuX/aSvl7zwAQJMx87CmKbEXEYkFSkpEwixUT5LXFItVP4LS\nsAzDCCUlsbbqlhEMsv/lWzC8lST3vZzknhebHZKIiDSQ2LpjiUSBqsKapCSlQPUk0vB2VUJJFaRa\nApwcY6tuVa54Du/mz7Cmt6TJqFlmhyMiIg1ISYlImIVGStooKZGGVzdK0im5ElsMrezmL91O+Vv3\nApA5Zg7W9CxzAxIRkQalpEQkjPwV1QfVk2SaHY7EGMMw+Kq2YWKX5EqTo2k4hmGw/5VbMbxuknsP\nJ6XXZWaHJCIiDUxJiUgYVRfW9SdphsWmHz9pWDvcsKcaMuyQb/eYHU6DqVzxPN5Nn2JNy+L/s3ff\ncVKW9/7/XzOzO9srS+8gTTo2bCggxdii4m2JxiS2mHKS074nyclJOznnl3LOSW/GxESj4i0idpFm\nFwuwLCIiUqSXLbN1dtp9/f6Y3QWNwgAzc8/svp+Phw9m72V33o9x2ZnPXNfnc5Ve/RO344iISAro\nVZFIGgV3xUcBF2jrlqRA59atab28dJehW7GG3TQ//h0ASq/+Mb6S3i4nEhGRVFBRIpJGXf0kQzTG\nVJLLGMOa2s6pW92jIjHGEFj4NUyohbxJl5I/9Uq3I4mISIqoKBFJk2hzRz+JX/0kknw7W6E2BKW5\ncEo3OTAx+PrfCG9ehaewgrIFP8XTjRr3RUTkw1SUiKRJcNcR/SQ6n0SSrLPBPb51K/tfvMcCe2ha\n8m0Ayq76Eb7Svi4nEhGRVNIrI5E06WxyVz+JJJtjDG92FCVn9s7+gsQYQ+ND/4hpbyZvwsXkn7bA\n7UgiIpJiKkpE0qRzpUSHJkqyvd9kCIShVx4ML87+oiT4xgOENi3HU1BG2TX/q21bIiI9gIoSkTSI\nNgWJBoJ4/Dn4+6ifRJLrzVoDwBlV3qx/AR9r2E3T4m8CUHrl/4evrJ/LiUREJB1UlIikweFRwBV4\nususVskIUcd0jQI+oyq7f6UbxyHw4Ffj07YmXkLBGde6HUlERNIku5/BRLJE1yhg9ZNIkr0TMLRF\nYWAhDCzK7oK37dV7CL/3Ap6iSsosbdsSEelJVJSIpEFwp/pJJDXeqO0eqyTR2u00P/5dAMqu+V98\nJX1cTiQiIumU3c9iIlkg2hQk2hjEm5eDv3eJ23GkG2mPGWrq4/0kp2dxUWKcGIEHvowJt5E/9SoK\nplzhdiQREUmz7H0WE8kSnask+eonkSSrqTeEHRhZ4qEqP3t/tlpf+D2RbavxlvalbMFP3I4jIiIu\nUFEikmJB9ZNIirzZtXUrewuSyP7NND/1QwDKrv053iL9OxER6YlUlIikWHvX5C292JLkaYkYNgYM\nXuC0LN26ZWJRGh/4MkRDFJx5A/nj57kdSUREXJKTjjuxLCsfeAHIA/zAY7Ztf9OyrErgIWAosAOw\nbNsOpCOTSDpEGjv6SfJz8PdRP4kkz9o6B8fA+HIPJbnZuVLSsuIXRHauxVs+kNIr/9vtOCIi4qK0\nvL1m23Y7MNO27SnAJGCmZVnnAd8Altm2PRpY0fGxSLfRNQp4UKXGm0pSvdFxYOKZvbNzlSSy521a\nlsb7R8qv/xXeAh0qKiLSk6Xt2cy27baOm37ABzQAlwN/7bj+V+DT6cojkg7BD+oAjQKW5KoPGd5v\nMuR6YXJl9hW7JhomcP+dEItQeN4t5I250O1IIiLisrQVJZZleS3LqgYOAKts294I9LVt+0DHXzkA\n9E1XHpFUM8YQ/KDjfJKhvVxOI91JZ4P75AoP+b7sK0palv6U6N6N+KqGU3LZd92OIyIiGSCdKyVO\nx/atQcAMy7JmfuTzBjDpyiOSapH6VmKtIXxFfnJ7FbkdR7oJYwyvH+qYupWFW7fCH6yhZcXPweOh\n/Ibf4M0rdjuSiIhkAI8x6a8DLMv6DyAI3ApcaNv2fsuy+hNfQRl75N9dsWJFV8CysrL0BhU5GVsD\neNbXYgYXwxn93E4j3cSBSC731venwBPjzt57yKqFkmg7+Qtvwtuwg8jUzxA57+tuJxIRkSRrbGzs\nuj179uyEn6XSNX2rCojath2wLKsAmAN8H3gcuBn4ccefS472fUaOHJnqqN3e1q1b9Tgm0dEez/01\n62gDeo8fSunIQekNloX0s5mYtdtjgMNZfXMZPeKTH69MfDyblnyb1oYd+PqMot/1P8HjL3A7UkIy\n8bHMZno8k0ePZXLp8UyOtWvXntDXpWvtvz+wsqOn5HXgCdu2VwA/AuZYlvUeMKvjY5GsZxzTNXmr\nYIj6SSQ5YsbwRkc/yfTe2bREAuGtr9H6wu/A66P8M7/NmoJERETSIy0rJbZtbwCmfcz1euCidGQQ\nSafQgSacUJSc8gJyy/TiS5LjnYChOQL9CmBocfYUJU57U3zaljEUX/R1/ENPczuSiIhkmOzrkhTJ\nAu07O0cBa5VEkuf1g52rJN6sOvem6dF/J1a/k5xBkyie969uxxERkQx0XEVJx1jf/qkKI9JdBHd0\nFCUaBSxJ0hY1VNcbPGTXgYntNU8RfP1+yMmj/Mbf48nxux1JREQyUELbtyzLqgB+AywAokChZVmX\nA2fatv3tFOYTyTpONEb73gCgQxMledbWGaIGxpR5qMzLjlWSWPNBGh+KT9gqvey75PYbe4yvEBGR\nnirRt9t+DzQBQ4FQx7XXgOtSEUokm4X2BDBRB3/vEnyFeldYkmP1ocNbt7KBMYbGhV/Daa3DP/oC\nCs+/3e1IIiKSwRJ9dpsNfNW27X2dF2zbPgT0SUkqkSwW3Nl5irtWSSQ5DrUb3m8y+L0wtVd2rJIE\nV99LaONSPAVllN/wazze7CimRETEHYk+SwSA3kdesCxrCLA36YlEslzwA/WTSHK90bFKMrWXh/ws\nOC0xemgbTY/Gd/aWLfgffOUDXU4kIiKZLtGi5G5gkWVZswCvZVlnA38F/pCyZCJZyAlFCO1vBK+H\n/EEVbseRbsAY07V166ws2LplYlEC99+JCbeSP/UqCk672u1IIiKSBRI9p+THQJB4s3sucA/xPpNf\npCiXSFYK7moAA/kDyvD603IMkHRzW5sNh9qhzA9jyzJ/laRlxS+I7HgTb1l/yhb81O04IiKSJRJ6\n1WTbtiFegKgIETmKzq1b+dq6JUny+iEDwFlVXrwZfjZJZFc1Lc/+GIDyG36Nt0irhSIikpiE38q1\nLGsoMBkoPvK6bdsPJDuUSLY63OSuokROXjhmeKs2O7ZumXCQhvvuACdK4YzbyRsz0+1IIiKSRRI9\np+QbwHeAd4hv4zqSihIRINoSIlLbgifXR37/MrfjSDdQXW8IxmBIkYeBRZm9StL05PeJHdyCr88o\nSi/9rttxREQkyyS6UvKvwOm2bb+TyjAi2ax9Z8fWrUEVeHyZ/a62ZIdXD8ZXSc7tm9kFSWjzKtpe\nvAu8OVTc9Ac8/gK3I4mISJZJ9JVTHfBBKoOIZLu2Dzq2bukUd0mC2nbDu42GXC+cUZW5Ra7T2kDg\nga8AUDz/38gdPMXlRCIiko0SXSn5OnCXZVk/Bw4c+QnbtncmPZVIljHG6HwSSarXOlZJplR6KMzJ\n3JWSxkX/itO4j9xhZ1A8+2tuxxERkSyVaFHiB+YB13/kugF8SU0kkoUi9a3EmtvxFfrx9ylxO45k\nOceYrqLk3D6Zu0oSXPMI7esW4/EXUf6Z3+HxaQy2iIicmESf7X4LfAMoI16gdP6Xl6JcIlkluOPw\nKoknw8e2Subb3GioD0OvPBidoWeTxBp20/jwPwNQeuUPyek9wuVEIiKSzRJ9WysHuMe27Vgqw4hk\nq66iZJi2bsnJe6VjleScPpl5NolxYgTuuwPT3kTe+PkUTP+s25FERCTLJbpS8lPgm5ZlZd6zo4jL\nTNQhuKujyX1YlctpJNu1RgzVdQYPMD1DzyZpXfELwttew1val7Lrf6nVQREROWmJrpR8DegLfMuy\nrLojrhvbtockP5ZI9mjfG8BEYviriskp1o5GOTlv1jpEDYwr89ArP/Ne7Ic/WEPzMz8CoPyG3+Ar\nViEuIiInL9Gi5MaUphDJYsEdtYBWSSQ5Os8mOadv5q2SOKEWAvfdDk6UogvuJG/sLLcjiYhIN5FQ\nUWLb9vMpziGStdrUTyJJsqvVsLMVCn3xUcCZpmnxN4nVbidnwHhKLv0Pt+OIiEg38olFiWVZ37Zt\n+4cdt/+T+PjfzmfJztvGtu3vpDylSKYKxQgfaMLj85I/qMLtNJLlOldJzujtJdebWUVJsPoxgq/f\nD7n5lN90F57cfLcjiYhIN3K0lZKBR9weTLwQOZLnY66J9CwH2wDIH1SBN1dH9siJiziGNw5l5tkk\nsYbdND70dQBKL/8Buf3HuZxIRES6m08sSmzbvvOI259LSxqRbNNRlGjrlpys6npDaxQGFcKQ4sxZ\nJTFOjMD9X8IEG8k7dS6F593idiQREemGEno7zrKs+k+4fjC5cUSyhzEGDqgokeR4aX98leS8DGtw\nb135a8Lvv4y3uDdl1/9K439FRCQlEn32y/3oBcuycgHtV5EeK1LXiqc9hq/Qj793idtxJIsdCBre\nazL4vXBWBp1NEtlVTfPT/wVA2Q2/xlfS2+VEIiLSXR11+pZlWS913Cw44nanQcBrKUklkgUOjwLu\npXeP5aS8dCC+SnJ6lYeCnMz4WXJCrTTcGx//WzjjdvJPneN2JBER6caONRL4Tx1/ng7czYenbx0A\nVqQol0jGOzwKWOeTyImLOIbXOqZunZ9BW7ealvw7sUPvk9N/HKWXfc/tOCIi0s0dtSixbfsvAJZl\nvW7b9qa0JBLJAibq0L4r3mpVMFT9JHLiqusON7gPy5AG9/aaJwm+di/k5FF+0x81/ldERFIu0cMT\nN1mWNQ+YAhR1XNY5JdJjte9twEQdTJmfnOI8t+NIFuvcunV+P29GbAOMBfYSWPg1AEov+x65A051\nOZGIiPQECRUllmX9GrCAVUBbx2WdUyI9VrBj6xZ9Ct0NIllt/xEN7mdWub91yzgxAn/7Iqatgbyx\nsymccbvbkUREpIdIqCgBPgNMsm17VyrDiGSLNhUlkgQvd4wBPiNDGtxblv8sPv63pA9ln/lNRqzc\niIhIz5DoW3OHgMZUBhHJFtHWEOEDTXhyvFClvfZyYiKO4bVDmdPgHt62mpZnfwxA+Wd+i6+kj8uJ\nRESkJ0l0peR/gb9ZlvUjYP+Rn7Bte1vSU4lksOD2+Cjg/MGVtPncfzEp2WldR4P74CIY6nKDu9MW\nIHDf7eDEKJr1D+SNneVqHhER6XkSLUp+1/HnpR+5btABitLDtHUUJYXDq2gj6nIayVZdDe593W1w\nN8bQ+NDXiDXsJnfINEou+XfXsoiISM+V6PQtvR0sAhjHdDW5F46ogvr9x/gKkb+3v82wpcmQ54Uz\nXG5wb3v1r7SvfwJPfgnln70bjy/X1TwiItIzqdgQOQ6hfY047RFyygvIrSg69heIfIwXM+QE98i+\nd2ha8i0Ayqz/I6dqmGtZRESkZ0t0JPBLn/ApY9v2jCTmEclobdsPAVA4vLfLSSRbhWKHT3C/oJ97\nu19NuI3AX2+FSDsFZ32GgmlXu5ZFREQk0Z6SP33k437ALcDfkhtHJLN1NrkXjqhyOYlkqzdqDcEY\nDC/2MMTFBvemJd8muv9dfH1GUXrVj1zLISIiAon3lPzlo9csy1oE3AN8P8mZRDJSrDVEaH8THp+X\n/MGVbseRLGSM4YV9MQAu7O/e7tng+sdpe/Uv4PNT8dm78eZpK6KIiLjrZJ4V9wCTkxVEJNN1HpiY\nP7gCb66Gzsnx29ps2N0GJTkwrZc7qyTR+l00LvwaAKVX/IDcQRNdySEiInKkRHtKbiE+/rdTEXAV\n8FoqQolkouARo4BFTsQLHSe4n9vXS643/UWJiUUJ3HcbJthI3oSLKTz/trRnEBER+TiJ9pTcxIeL\nklbgFeBnSU8kkoGMY2jbES9KCkaoyV2OX2PYsLbO4AFm9HNn61bL0h8T2f4G3rL+lF//K1fPRxER\nETlSoj0lF37cdcuyJgF1yQwkkolC+xtxghFyygrIrSh0O45koZcPOMQMTK70UJmX/mIgtOUlWpb9\nH3g8lN/4B7xF6osSEZHMccyixLKsCmAksNm27eaOaxcA3wBmAvkpTSiSAY48xV3vLsvxihnTdYL7\nhS6sksSaDxH42xfBGIrn/gt5o85LewYREZGjOWpRYlnWlcADQB4QsCzrMuDfgAuAu4BbU55QJAN0\n9pMUaBSwnID19YZAGPoWwNiy9Ba1xnEI/O2LOI37yB0xneJ5/y+t9y8iIpKIY62UfB/4GvHzSD4P\nLAMeB4bZtt2Q4mwiGSHWFia0rxF8Hgo0ClhOwAv7Og9L9KZ9pa11xc8Jb16Ft6gXFZ/9Ix5foq2E\nIiIi6XOsfQRDgT/att0G/J54EXOLChLpSboa3AdV4vXrBZ0cn71ths1NhjwvnN07vVu3wltfo/np\n/wag7Mbf4SsfmNb7FxERSdSxniG9tm0bANu2Y0CrbdutqY8lkjmC27R1S05c5xjgs3p7KchJ4ypJ\nsIGGe28F41A0++vkj7soffctIiJynI71tm+hZVkvAp3PpMWWZb10xOeNbdszUhNNxH3GHB4FrPNJ\n5Hi1RQ2rDx7eupUuxnHIe+478T6S4WdR8qlvpe2+RURETsSxipJbPvLxnz7ysUGkG/vQKODKIrfj\nSJZ59aBDyIk3tw8sSt8qSevKX+LbuRpPUSUVN9+tPhIREcl4R32msm37L2nKIZKR2rZ2rJKM0Chg\nOT4xY1jZ0eA+q3/6VknifST/BUD5Z9RHIiIi2cGdY4VFskTb1oMAFI7UKe5yfGrqDfUh6J0PEyrS\nU9A6LXXxPhInRmTaZ8k/dU5a7ldERORkqSgR+QTR5nbCB5vx5PrI1yhgOU4rjlgl8aZhlc04DoH7\n7+zoIzmTyPQ7U36fIiIiyaKiROQTtG07BEDB0F54c3wup5Fs8kGL4f0mQ4EPzu6Tnl+zrSt/RWjT\ncjyFFVR89m5QH4mIiGQRFSUin6Bta7wo0dYtOV4r98UAOLevl3xf6ldJwttW0/z0D4GOPpKKQSm/\nTxERkWRK6K00y7Lyge8A1wFVtm2XWpY1Fxht2/avUxlQxA1OJEbwgzog3uQukqjGsOGtWoMHuDAN\nY4CP7CMpmvVV8sfPTfl9ioiIJFuiz5g/AyYAnwGcjmsbgS+lIpSI29p31WOiDv6+peQU57sdR7LI\nC/sdYgamVHqoyk/tKolxHAIPfAknsJfcYWdQcsm3U3p/IiIiqZJoUXIlcINt26/RcTaJbdt7AM2a\nlG5JW7fkREQcw4sdJ7jPGpD6VZLWlb8i9M4yPIXlVNz8Jzy+3JTfp4iISCok+qwZ4iNbvSzL6g3U\nJj2RiMuMMbR2FCVFKkrkOLxxyNAShSFFcEpJaldJQltepvmp/wTURyIiItkv0aLkYeAvlmWNALAs\nqz/wa2BhqoKJuCV8qJlYczu+ojz8fUvdjiNZwhjT1eA+q78vpYdtxhr3E7j3VjAORRf9I/nj56Xs\nvkRERNIh0aLk34HtQA1QBrwP7AN+kKJcIq45vHVLp7hL4jY1Gva0QWkunFaVup8bE4sSuPdWnOaD\n+EedT8nF30zZfYmIiKRLQtO3bNsOAf9oWdY/Ab2BWtu2nWN8mUhW6ipKRvRxOYlkk+f2HD4sMdeb\nuqKk+akfEt76Kt7SfpTfdBcenUciIiLdQKIjgR8D7gcet237YGojibgn1hoitK8Rj89LwVCd4i6J\n2dlieLfRkOeF81M4Brh9w9O0rvwleH1U3PwnfKV9U3ZfIiIi6ZToW2zPA/8K3G1Z1qPAA8AyrZZI\nd9O2PT67IX9IJV6/3oGWxCzbe/iwxKKc1KySRGu3E7g/PoW95NLv4B95dkruR0RExA0JvaVn2/bP\nbNs+AzgN2Ab8HNhrWdavUhlOJN0Ob93S1C1JTF27YU2twQvM7p+aVRITDtJwz+cw7U3kTbyEoplf\nScn9iIiIuOW4nkFt295i2/b3iZ/svgH4ckpSibjAxBzadsRXSnQ+iSRqxT4Hh3hze68UHZbYuPgb\nRPdswFc1nPLrf60BDCIi0u0kvD/FsqxTgOs7/utNfEzw91OUSyTtgrsaMOEYuVXF5JYVuB1HskBr\n1PDKgfgu1rkDfSm5j7bXHyC4+j7Izafic3/BW1iWkvsRERFxU6KN7m8CY4DHgH8Gltu2HUllMJF0\na9san+GgAxMlUS/tdwg5MLbMw+Ci5K9eRPa8TeOifwGg7OqfkDtoYtLvQ0REJBMkulLyP8ATtm23\npTKMiFuMMbS9Hy9KCk/RKGA5tohjWLmvc5Uk+b0kTrCJhns+B5F2Cs68gcLpNyb9PkRERDLFJxYl\nlmV5bNs2HR8+3HHt7555NYFLuoPwwWaiTe34ivzk9df2GDm2Nw4ZmiIwqBDGlSV3lcQYQ+ODXyFW\nu42cAeMpW/DTpH5/ERGRTHO0lZImoKTjdvQT/o4BUrORWiSNWjtXSUb2UROxHJNjTNcY4DkDfUn/\nmWl9/re01zyJJ7+Eis//FY9fPU4iItK9Ha0oGX/E7RGpDiLiprYtHf0ko7R1S45tQ4NhfxAq/HB6\nr+QWJKH3X6H5ie8BUH7Db8jprV+/IiLS/X1iUWLb9s4jPlxg2/b/fPTvWJb1T8D/pSKYSLpEGoOE\nDzXjyfVRMKSX23EkwxljeHZ3fNfq7AFefN7kFSWxwF4Cf/kCODGKZn2V/EmXJu17i4iIpFJ7OMiL\nG5+kipEn9PWJdmd+9xOu/8cJ3atIBulqcB9RhScnNYffSffxXpNhe4uhKAfO75u8nxcTDdFwz+dw\nWg7hHzWDkkv061VERDJfXfMBHnzhV3z595/iz8t+dMLf56jTtyzLmgV4AF/H7SONJN53IpLVWjV1\nS47DM52rJP295PmSt0rS9Oi/E/ngLbzlAym/+W48voSPkRIREUm7LXs38MxbD7J683IcE++zPKX/\nhBP+fsd61vsz8Wb2POBPR1w3wAHgqyd8zyIZIBYM076rAbweCkfofBI5uu3NDu82GvJ9cEH/5K2S\ntL1+P22v/Bly8qj4wr34iquS9r1FRESSJRqL8MZ7q3hmzQNs2bsBAK/Hx/Qxc/jU6TcweuAk1q5d\ne0Lf+6hFiW3bwwAsy7rPtu2bTugeRDJY27ZaMIaCwZX48nPdjiMZ7tk98VWSC/p5KcpJzipJZFc1\njQ93HJC44Cf4h0xNyvcVERFJlpZgIytqHmXpWpv65gMAFOWXMnvylcydalFV2u+k7yOh/QEqSKS7\nat0S/4dVqKlbcgx7Wg3r6w253vjWrWRwWupo+PNnIRqi8OybKZyuX7UiIpI59tRt55k1D/Li208S\njoYAGFA5lPmnXc+M8ZeSn8SR9QkVJZZllQHfAy4AenG4Qd7Ytj0kaWlE0siJxAjuqAOgSP0kcgxL\n98T3y57Tx0up/+RXSYwTo+HeW4k17CZ3yDRKrz7x5kAREZFkMcZQs+M1nn7rQdZvf7Xr+qRh07n4\n9BuYPPxsvJ7kDwZKtJPyN8Bg4AfAfcBNwL8CjyQ9kUiaBHfWYSIx/H1LySnV4XTyyQ61G96sNXg9\nMHdAcn4RNz/1X4TfewFvcRUVX/grnpy8pHxfERGRExGKBHlp4zM8s+YB9tRtByA3J48Z4y9h/mnX\nMbjqxEb9JirRomQeMM627VrLshzbtpdYlvUm8AQ6p0SyVOcoYK2SyLE8t8fBANOrPPTKP/lVkuD6\nx2ld8XPw+ii/+c/4ygeefEgREZETUNd8gOfWPcyK6sW0tDcCUFHcm3nTLGZPvoqSgvK05Ei0KPEA\njR23my3LKgf2AaNSkkokxYxjaHv/EKBRwHJ0gbDhtYMOHmDeQN9Jf7/I/s00PvAVAEou+x55o847\n6e8pIiJyvN7f9zZPv/UAr29eTsyJb1Ee2W88nzr9Bs4aM5scX3oHACValNQAM4AVwMvEt3O1AptT\nlEskpUL7AsTawuSUFeDvXex2HMlgy/Y4RA1M6+WhX+HJrZI47U00/PmzmFAL+VOvpOjCLyUppYiI\nyLHFnChvvLeSp996kC17a4APj/QdNWAiHk/yzuA6HokWJbcdcftrwH8DZcBnk55IJA1atxw+MNGt\nf3yS+ZrChhcPxMcAzz/JVRJjDIEHvkLs4BZy+o+j7Lpf6mdPRETSoiXYyMqaJSxd+xB1nSN980qY\nNfkq5k27hqrS/i4nTHwk8NYjbh8AbklZIpEUM8Z0FSXqJ5GjeW6vQ8SByZUehhSfXAHRuvxnhGqe\nxJNfSsUX7sWbV5SklCIiIh9vT912nl2zkBc3Pkko0g6kbqTvyfrEosSyrFuIn9x+VLZt/zmpuSGZ\nFAAAIABJREFUiURSLHyomWigDW+hn/xBFW7HkQzVFDa8sD++SnLJoJNbJWnf+BzNT/8XeDyU3/QH\ncnqndoKJiIj0XG6N9D1ZR1spuYkEihJARYlkldb3OpYtT+mDx6vtM/LxOldJJlWc3CpJ9MB7BO67\nDYyh+FP/Tv74eUlMKSIiEuf2SN+T9YlFiW3bF6Yxh0jadBUlo/u6nEQy1ZGrJJcOPvFVEqetkfq7\nb8S0N5M/+XKK5/xTsiKKiIgAmTPS92Ql2uiOZVm9gEuAfrZt/8SyrIGAx7bt3SlLJ5Jk4boWInWt\nePNzKBhS6XYcyVDLkrBKYpwYgb/dTuzQ++T0P5WyG36txnYREUmaTBvpe7ISKkosy7qA+OntbwHn\nAj8hfkbJPwOXpSydSJJ1rpIUjuyDx5d5+ynFfU1hw/OdvSQnsUrS/PR/E3pnGZ7CCipuvR9vnkZP\ni4jIycnkkb4nK9GVkl8A19m2vdyyrIaOa6uBs1ITSyQ1urZujdHWLfl4R66SDD3BVZLg2sW0Lv8Z\neH1UfO4ecnoNTXJKERHpSZqDAVbWLOG5tXbGjvQ9WYkWJUNt217+kWsR4OSPNxZJk0igjfDBZjx+\nH4VDq9yOIxnoQxO3TnCVJLJ7A4EHvwpA6RX/Sd7oGUnLJyIiPcvOQ1t4ds1DvPzO04SjISBzR/qe\nrESLkk2WZc23bfvZI67NBjakIJNIShzeutUbT462bsnfW7bXIezAxBNcJYm11NLwpxshEqTgjOsp\nnHFHClKKiEh35jgx1m59iWfWLGTjzje7rk8efg7zp13L5BHnZORI35OVaFHyT8CTlmU9DeRblnUX\n8V6SK1KWTCTJurZujdLWLfl7jUf2kgw6/l/2JhYhcM/niTXsInfINMqs/83afb0iIpJ+re3NPL/h\nMZautTnYuAeAvNwCLphwGfOmWQzsNdzlhKmV6Inuqy3LmgzcCLQAO4EzNHlLskW0KUhoXyOeHC+F\nw7V1S/7eM7sPn94+rOT4i5KmJd8mvPUVvKV9qbjlPjy5+SlIKSIi3c3Hnbrep2wg86Zdy8xJl1OY\nV+JywvRIeCSwbdt7gB93fmxZ1lmWZf3Stu2rUpJMJIlatxwEoHBEb7z+hH/spYeoaze8dMDBA1x+\nAr0kbavvo+2lP4LPT8Xn/4qvLPsbDkVEJHUc47B+26s8s+ZBanas7ro+YeiZzJ92HdNGnofX27Na\nt4/66syyrFLg28B44HXgh8DpxIuTM4G/pjqgSDLowEQ5mqd2x4gZOKPKw8Ci49tyFd7+Bo0P/wsA\nZdf8D/7hZ6YiooiIdANtoRZeePsJlq55iP2BXQD4c/I4f/wlzJ92LYN7n+JyQvcc6y3j3wATgeeA\nBcBUYBbwK+Aa27ZrUxtP5ORFW0K0724An4fCEb3djiMZZn/QsPqgwQtcdpyrJLHAHhruuRliEQrP\nv43C6TemJqSIiGS1/Q27eHbtQl7Y8ATBcCsAVaX9mDf1WmZOuoLigjKXE7rvWEXJHGCybdsHLMv6\nJfFekgtt234x9dFEkqNtS8fUrWFVePO0dUs+7MmdMRzg3D4e+hQkvkrihFqpv/tGnKYD+E85j9JP\n/zB1IUVEJOsYY6jZsZpn1yyketsrGAwA4wZN4+LTr+e0U2bg8+p1SadjPRJFtm0fALBte7dlWS0q\nSCTbaOuWfJLdrYa36gw5nuM7l8Q4Do0PfJno7vX4qoZT8fm/4PHlpjCpiIhki/ZwGy9ufIqlax9i\nT912AHJ9fs499WLmT7uWYX3HuJwwMx2rKPFZljWr47YH8BzxMQC2ba9MSTKRJIi1hQnuagCvh8JT\n+rgdRzLM4ztjAMzo56UyL/FVkpalP6Z9/eN48kuouPUBvEWVqYooIiJZ4mBgD0vX2ayqWUJbqAWA\nyuI+zJl6DbMnX0lpYYXLCTPbsYqSg8Cfjvi47iMfA3TvocmS1VrfOwDGUDCsCl++3smWw7Y1O9Q0\nGPxemD8w8RHAwbWLaVn6U/B4Kb/5T+T20zteIiI9lTGGd3a+xbNrF/LW+y9iTPy8q9EDJzN/2nWc\nOXomOVpJT8hRixLbtocl644syxoM3Av0AQxwl23bv7QsqxJ4CBgK7AAs27YDybpf6dla3t0HQPHY\nfi4nkUzz2M74E8es/l5K/YmtkoR3riXw4FcAKL3iP8kfd1HK8omISOYKRYK88s6zPLt2ITsPvQ+A\nz5vDOadezPxp1zGy/6kuJ8w+6eyuiQD/aNt2tWVZxcAay7KWAZ8Hltm2/RPLsv4N+EbHfyInJdoS\non1XfOpW0Sht3ZLD3gk4bG40FPhgToKrJLHAXhruvhEi7RRMv4nCC76Y4pQiIpJpapv289w6m5Xr\nl9DS3ghAWVEv5kxZwEWTr6K8WAc0n6i0FSW2be8H9nfcbrEsaxMwELgcuKDjr/0VeB4VJZIEre/t\nB6BweBXePC2dSpxjDI9+EO8lmT/QS1HOsVdJTLiNhj/diNO0H//Icylb8FM8nuM7z0RERLKTMYbN\ne6p5Zs2DvPne8zgm/hwyst94Lj7tOqaPnaMtWkngyhwyy7KGET/z5HWgb+eEL+AAoBFJkhQt78aL\nkuIx2rolh71Za9jVChV+mNn/2KskxhgCD3yFyK5qfL2GxSdt5fjTkFRERNwUjoZ47d3neOatB9lx\ncDMAPq+Pc8bO4+LTrueU/hP0BlUSpb0o6di69QjwNdu2my3L6vqcbdvGsiyT7kzS/USbgoT2BPDk\neDV1S7pEHMNjHRO3Lhvsw+879pNJy9Kf0F69BE9eMRW33o+3uFeqY4qIiIvqmw+yrHoRK9Yvpqmt\nAYCSgnIumnI1c6YsoLJErytSwWNM+moAy7JygSeBZ2zb/nnHtXeJH8i437Ks/sAq27bHdn7NihUr\nugKWlem0S0nQlgY8G+owA4pgen+300iGeLO1hOdbKqjKCXNz5X68x6hJfFuWk/fsNzEeL6FL/w9n\n2LnpCSoiImlljOGDus2s3voMG/e80bVFq3/ZMM455VNMHHwOuT6tkieisbGx6/bs2bMTXkpK20qJ\nZVke4uOE3+ksSDo8DtwM/LjjzyWf9D1GjhyZ0ow9wdatW3vE47jntdWEgL6nn0LxyNRt3+opj2c6\npPqxbI0a3lgbBeDaUQWMqjj6fUV2VVO74gcAlF7xA4ov/GzKsqWCfjaTR49lcunxTB49licvHGnn\n5U3P8txau2uLltfj46wxs5k/7TrGDpqqLVrHae3atSf0dencvnUucCNQY1nWuo5r3wR+BNiWZd1C\nx0jgNGaSbigSaCO0rxFPro/CEb3djiMZYuluh7YojC71MKH86E8wscZ91N/9GYgEKZh+I0UX3Jmm\nlCIikg4HG/eybN3DrKp5rGuKVlFeKXOnXcNFU66mV4lanNMtndO3XgY+qatUw/4laVo3d0zdGtkb\nb67P5TSSCepDhpX74ueSXDXUe9R3vZxQK/V/vAGncR/+kedQtuB/9C6ZiEg3YIzh7Z1vsnTNQtZs\nfanroMOR/cYz77Rr6ZM7grGjx7mcsudyZfqWSCp1Td3SgYnS4YmdMaIGTu/lYVjJJ0/cMk6MwH13\nEN29Hl/VcCo+/1dN2hIRyXLt4TZe3PgkS9fa7KnbDsQPOjx73DzmTbuWUQMmAvHtcOIeFSXSrYTr\nWwkfbMbjz6FguA4wEtjdalh9yODzwBVDj75y1vzYdwi9/TSewnIqb1uoSVsiIllsX/1Olq57iBc2\nPEEw3ApARXFvLppyNbMnX0V5kX7HZxIVJdKttHaskhSN6oM3R1u3ejpjDIt2xDDAjL5eeud/8jas\n1pf/TOsLvwNfLhWfv5ecvqPSF1RERJLCMQ7rt73Ks2sfYv32V7uujxk0hfnTruWMUTN10GGGUlEi\n3UrLZm3dksM2NBjebTQU5sAlgz9521b7puU0Lf43AMqu/Tl5o85LV0QREUmC1vZmnt/wOM+tszkQ\n2A1Abk4e542bz9xpFsP7jj3GdxC3qSiRbiNc20KktgVvfg4FQ7Uk29NFHcMjO+Jz5i8Z5KU49+NX\nSSJ7NxL4yxfAiVE8958pPPP6dMYUEZGTsOvQ+yxda/PSO08RirQDUFXan7lTr2HmpCsoKSh3OaEk\nSkWJdBst7+wFoGh0Xzy+T35XXHqGF/Y7HGiHvvlwYb+P/3mINe6n/q7rMKEW8qdeRfHF30pzShER\nOV4xJ8qa919k6dqH2Ljzra7rE4aeyfxp1zJt5Pl4vdrCnW1UlEi3YIyhZdM+AIrHDXA5jbitJWJ4\nald81OPVw3z4PubodifUSsPdN+AE9pA7/EzKb/i1Rv+KiGSwprYGVtUsYVn1Imqb4tu183ILmDH+\nEuZNu5ZBVSNcTignQ0WJdAuhPQGiTe34SvLJH1zhdhxx2ZO7HNpiMLbMw8SKvy80Okf/RnZV4+s1\njIpb/oYnN9+FpCIicizb92/i2bUP8eqmpURiYQD6lQ9m7jSLCydeRmFeicsJJRlUlEi30Nyxdat4\nXD+9293D7WszvLjfwQNcM8z3sT8PzY9/Nz76t6CMytsX4ivW+GgRkUwSjUV4472VPLv2Id7bs77r\n+tQR5zJv2nVMGj4dr0dbtbsTFSWS9UzMoXXzAUBbtwQW7YjhAOf39TKw6O8LktZX7qH1+d+CN4eK\nL9xLTt/R6Q8pIiIfK9BSy/L1i1lR/QgNrbUAFOYVc+HEK5g79Rr6VQx2OaGkiooSyXpt22tx2iP4\nq4rJ66Ml3J5sY4PDxoAh3weXfcwI4PZNy2l65P8BnaN/z093RBER+QhjDFv2buDZtQt5ffMKYk4U\ngEFVI5k31eL88Z8i31/ockpJNRUlkvU6p24Vn9rf5STipqhjsDtGAH9qkJdS/4dXSSJ73j48+nfO\nP1N41g1uxBQRkQ6hSJBXNz3H0rUPsePgZgA8Hi9njJrJ/GnXcuqQ07UluwdRUSJZzQlFadt6CIDi\ncSpKerKV+xwOBOMjgGf2//AqSaxhN/V3XXvE6N9vupRSRET2N+xiWfUint/wOK3tTQCUFJQxc9Kn\nmTPlGnqX6fm8J1JRIlmtdcsBTNQhf3AFOaUFbscRlzSEDo8Atob7yD1iBLDTFqD+D9fgNO7DP/Jc\nyj/zGzxeNUeKiKST48So3v4qz617mOptr3RdH9lvPHOnXcPZY+fiz8lzMaG4TUWJZLWWjZ1Tt/Su\nSk+2+IMYIQcmV3oYX3G44DDREA1/uono/s3k9BtDxS334dGTnohI2jQHAzxf8zjLqhdxsHEPALk+\nP+eMm8fcqdcwsv94lxNKplBRIlkr2tJOcGc9+DwUjenndhxxyZZGhzdrDbne+AjgTsZxCNz/ZcJb\nX8Fb2o/KOx7GW1juYlIRkZ5j676NLF1n89qm57rOFuldNoA5UxZw4cTLKS3UmWLyYSpKJGu1bIqf\n5lo4oje+/FyX04gbYsawcHu8uX3eQC9V+Ye3bTU/+QPa1y3Gk1dM5e0P4asY5FZMEZEeIRwN8dq7\nz/Hc2ofZun9j1/UpI85lzpQFTB1xLl6v7yjfQXoyFSWStbqmbmnrVo/14n6HPW3QKw/mDji8bav1\npT/SuvKX8bNIPv8XcgdNdDGliEj3drBxL8vWLeL5DUtoDjYCUJRXwoUTL2eOzhaRBKkokawUrmsh\nfLAZb14OhSN7ux1HXNAUNjy+M97cfs1wH35ffJWkveYpmhZ/A4Cy635B3thZrmUUEemuHONQs301\nz62zWbf1ZQwGgGF9xjB3msW54+aRl6sBNJI4FSWSlVre2QdA0ei+eHO0FNwTLdkZIxiD8eUeJlfE\nC5Lw9jdouO82MIbii79J4ZnXu5xSRKR7aWlv4oUNj7Ns3SL2B3YBkOPLZfqYOcybZnFK/wk6W0RO\niIoSyTrGMTR3Tt0aP8DlNOKG95scXj1o8HniI4A9Hg/Rg+9Tf/cNEGmnYPpNFM/9F7djioh0G9sP\nvMtza21e2fQs4WgIgKrSflw05WpmTvw0ZUWVLieUbKeiRLJOcGc9seZ2csoKyB+k6R09TdQxPLD1\ncHN73wIPseZD1P/BwrTWk3fqHMqu+V+9UycicpIi0TCvb17O0nUPs2VvTdf1icPOYt5Ui6kjz8Pn\n1UtJSQ79JEnWaXk7Pue8ZPwAvfDsgZbvddgbhN75MH+gFyfUSsMfrydWt4PcwVMov/lPeHz61SYi\ncqJqm/azvPoRVtUsobGtHoDCvGIumHAZc6YsYECvYe4GlG5Jz9ySVZxQhNYtBwBt3eqJatsNT+2O\nN7dfP8JHLlEa/noLkZ1r8VUOoeK2B/HmFbucUkQk+xhjePuDN3hunc1b77+IMfHftUN6j2LuVIvz\nTr2YfL8a1yV1VJRIVmnZfAATdcgfXEFueaHbcSSNjDEs3BYj4sAZVR7GlXlofODrhN55Dk9RJZV3\n2PhK+7odU0Qkq7SFmnnh7SdZtu5h9tZ/AIDP6+OsMfOYO+0axgycol0JkhYqSiSrdG3dmjDQ5SSS\nbmvrDG8HDAU+WDDMR/MT3yf45oN4/IVU3raQnL6j3Y4oIpI1dh7awnNrH+ald54mFAkCUFnch9lT\nrmL2pCspL65yOaH0NCpKJGtEGlpp3xPAk+ujaLTeEe9JglGDvSPe3P7poV58r/yW5o7DEcs//xf8\nw053OaGISObrbFxfVr2IzXvWd10fP+R05k61OO2UGeT4cl1MKD2ZihLJGp1jgItG98Xr149uT/L4\nLofGMAwv9nD6rsU0PfYfAJTd8Gvyx13kcjoRkcx2MLCH5esfYVXNYzQHAwAU+Is4f/wlzJ16DYOq\nRricUERFiWQJYwzNb8eLEm3d6ll2NDs8v8/BCyzwvEnTg18GoOSK/6TwdMvdcCIiGcpxYqzb9grL\nqhexfturHzpx/aIpCzjv1Pnk+9WbKZlDRYlkhfYjzyYZrLNJeoqoY7hvawwDzCw6SNF912CcKEWz\n/oHimV92O56ISMYJtNaxquYxVqxfTG3TPgByfX6mj53DnCkLGDVgohrXJSOpKJGs0NzR4F6ss0l6\nlKV7HPa0QVVOhOmL5mHCbRSccT0ll33X7WgiIhnDGMO7u9exbN0iXn9vBTEnCkCf8oHMmbyACyZe\nRmmh3tCTzKaiRDKeE4rS+l78bJISnU3SY+xtMzzdcSbJpau/Qm7zXvJOnUvZdT9XYSoiArRH2li6\n1mZZ9SJ2124FwOPxcvopFzBn6gImDpuO1+N1OaVIYlSUSMZreW+/zibpYRxjuO/9GDEDp+97nKHb\nlpA79HQqPvdnPJoMIyI93I4Dm1lWvYiX3n6KcCwEQHlRL2ZO+jSzJ19JVWl/lxOKHD8VJZLxWjbo\nbJKeZtU+h+0thpJwHbNX/xM5fUdTeftCPGrKFJEeKhwNsXrzcpatW8SWvTVd108dfBpzp17D6aMu\n1DhfyWoqSiSjhetadDZJD1PbbnhsZ3zb1iWvf53CohIqv7gIb1Gly8lERNJvf8Mullc/wgtvP05z\nsBGAwrxiZky4lDGVZ3L21AtcTiiSHCpKJKM113Q0uI/rp7NJegBjDH/bGiXswPidSxjb9BaVX30S\nX8Ugt6OJiKRNzImybuvL8XG+21/ruj6871jmTFnAOePmk+8vYOvWrS6mFEkuvcqTjGWiDs0bO7Zu\nTdKL0p7glQMO7zZCQaieizf+N5V3PExuv7FuxxIRSYtASy0ra5awfP1i6pvjA15yc/I4e+wc5k69\nhpH9xmvQh3RbKkokY7VuPYgTjODvXUxevzK340iKNcZ8PLw1CJ485td8j8Gf/RX+IVPdjiUiklLG\nGN7Z+RbLqhfx5pZVxJwYAP0qhjBnytVcMOEyigv0HCjdn4oSyVjN63cD8VUSvTPUvTnGsHR3mFB+\nHmP3PM2MWVeQN+o8t2OJiKRMa3szL258kuXVj7CnbjsAXo+PM0bNZM7UBUwYeqbG+UqPoqJEMlIk\n0Ebwgzo8OV6KT9XZJN3dstde44P8MygM1XHDMCiYON/tSCIiKbF9/yaWVS/ilU3PEoq0A1BRVMWs\nyVcya/KV9CrRUBfpmVSUSEbqPMG9aHRffPkacdid7XxrKU9Ep0MOXJO7gT5nXOF2JBGRpGoPB3n1\n3aWsqF7M1v0bu65PGHomc6Ys4LRTZmicr/R4Kkok4xjHoXmDGtx7graNy7h3XynRXoWMb63h7Dlz\n3I4kIpI0Ow9tYXn1Yl7a+BTBcCsARXklzJhwGXOmXM2AXsPcDSiSQVSUSMZp21ZLrCVEbkUh+YMq\n3I4jKRLe+hpPv/Iquyd8i9JYE7OG6v+1iGS/cKSd1e+tYHn1I7y3Z33X9VEDJjFnytVMH3MR/tx8\nFxOKZCYVJZJxmjeowb27i+xaz6aF/8GqGUsAuGl8OfkNAZdTiYicuD1121levZgXNz5Ja3sTAAX+\nIs4f/ylmT76aoX1GuZxQJLOpKJGMEm1pp21rLXg9lIxXg3t3FNm/mUN3Xc+Ss+4l5svj3D4wsdLH\n1ga3k4mIHJ9INMybW1axrPoRNu1a03V9RL9TuWjyVZwzbh75/kIXE4pkDxUlklGaN+wBYyga1Rdf\nUZ7bcSTJooe2Uf/bK1k19Gb2VU6m0m9YMEzNnSKSXfY37GLF+kd5fsNjNAfjq7x5uQWcO24+F025\nmhH9xrmcUCT7qCiRjGGMUYN7Nxat30X9bz/Ndv9QXh73NTwYbh6VQ0GOtuiJSOaLxiKsef9Flq9/\nhA07Xu+6PqT3KC6acjXnnXoxhXnFLiYUyW4qSiRjBHfUEW0MklOaT8GwXm7HkSSKNe6j/refprWl\niUc/9QzG42PeQC9jynQwmIhktkON+1hZ8yirapYQaK0DIDcnj7PHzmHOlAWc0n+C+h9FkkBFiWSM\npuqdAJRMHqxf8N1IrPkQdb/5NNHa7Tw9cyGNeX0YWuThssEqSEQkM8WcKOu2vsKK9Y9Qve1VDAaA\ngb2GM3vyVcyYcCnF+aUupxTpXlSUSEaINAZp23oIvB5KJw50O44kidPaQP3vriJ2cAsbJ/8DG3rP\nJM8LXxjtI8erwlNEMkt980FW1ixhZc0S6psPAJDjy+Ws0bO5aMrVjB00VW+aiaSIihLJCM01u8FA\n8dh+anDvJpxgE/W/X0B070YaB8/gqXHfAges4T76FuhJXUQyg+PEWL9jNSuqH2Ht1pdxTAyAfuWD\nmT3lKi6YcBmlhTpHSSTVVJSI60zUiRclQOmUwS6nkWRwQi3U33UtkV3roGoEj816gPagh6mVHs7p\no4JERNwXaKll1YbHWVnzKIca9wLg8/qYPvoiZk+5mvFDTsfr0TZTkXRRUSKua91ygFhbGH/vYvIG\nlrsdR06SCQdpuPtGIttfx1s+gNXXPMf2ulwq/HDjSJ+2PoiIaxzjsHHnWyyvXsRbW54n5sRXRXqX\nDWD25Cu5cMLllBdXuZxSpGdSUSKua1oXb3AvnTJEL1iznImGaLjnZsJbXsRb2pfAF57l2d0leIDP\njfJRlKv/vyKSfk1tDbzw9hOsqF7M/sAuADweL6efcgEXTVnApGFn4fX6XE4p0rOpKBFXhQ42074n\ngMfvo/jU/m7HkZNgYhEa7r2N0KbleIt64b/jMe7Z1xcDGv8rImnXuSqyonoxb25ZRcyJAlBZ0pdZ\nkz7NzElX0Kukr8spRaSTihJxVVN1/B2rkvED8fr145itTCxC4N5bCdU8iaegjPIvPsJdjSMIhA0j\nSjxcrvG/IpImgZba+KpIzaMcDMQP5PV4vEwdcR6zJ1/F1JHn4vPq+UYk0+hfpbjGCUVpeSfeXKgG\n9+wVL0huo339E3jyS6m88xFWecazMeBQlAO3jvbh0/hfEUkhxzhs2LGaFesfZc37L3T1inSuilw4\n8XKqSvu5nFJEjkZFibimeeNeTCRG/uAK/FXFbseRE2BiUQL33UH7+sfx5JdQeecj7CyfwmNvx18Q\nfO4UH5V5KkhEJDXqmw/y/IbHWVmzhNqmfQB4PT5OP+UCZk++isnDz1aviEiWUFEirjDGdJ3gXjp1\niMtp5ESYWJTA375Ie/WSeEHyxUcID5jG3eujOMDcAV4mVmrblogkl+PEqN7+KivWP8rarS9hjANA\nVWl/Zk++kgsmXE5lSW+XU4rI8VJRIq5o39VApK4VX5GfolP6uB1HjpOJRQncfyft6xbjySum8ouL\nyBl6Gn/YFCMQhhElHq4YooJERJKntmkfq2oeZ9WGx7pOW/d5fZw2ajazJ1/JxGFn6VwRkSymokRc\n0bj2AwBKJg3G49OTSDYxTozAA1+ife0jXQWJf9gZLN0dY2PAqI9ERJIm5kRZt/VlVqxfTPX217pW\nRfqWD2LW5Cu5YMJllBf1cjmliCSDihJJu0igjbYtB8HrUYN7ljFOjMYHvkz7mkXxguQOG//wM9nS\n5PDYzviLBfWRiMjJOhjYw6oNj/F8zWM0tNYC4PPmcOaYi5g9+UpO1WnrIt2OihJJu6a18V6S4nH9\nySnOczmNJCpekHyF4Fs2Hn9RvCAZMZ1A2PDHzTH1kYjISYnGIqx5/0VWrF/Mhh2vYzAA9K8YyuzJ\nVzJjwqWUFla4nFJEUkVFiaSVE47StCE+N77stKEup5FEGSdG44P/QPCthz5UkEQdw12bYzRFYEyp\nhyuGqiARkeOzv2EXK2se5YW3n6SxtQ6AXJ+fs8bMZvbkqxg7aCoej1ZfRbo7FSWSVs1v78GEo+QP\nqiCvb6nbcSQBxonRuPAfCL75IB5/IRW3L8Q/8mwAHt7hsK3ZUOGHW0b78OmFg4gkIBIN8+aW51lZ\n8yhvf/BG1/VBvUYwa/KVzBh/CcUFZS4mFJF0U1EiaWOMoXFNfOuWVkmyg4lF403taxZBbgEVty0k\n75RzAXj1oMML+x1yPHD7GB+lfhUkInJ0e+t28EzNvax/+mWagwEAcnPyOHvsHGZPvorRAyZpVUSk\nh1JRImnTtu0Q0UAbOaX5FGoMcMYzsUj8YMTqJXj8RVTc8RB5I88BYGeL4YGt8QMSrxt8jiVQAAAg\nAElEQVThY3iJtm2JyMcLR9p5/b2VrKxZwqZda7quD+k9itmTr+K8Uy+mKL/ExYQikglUlEjaNL0V\nHwNcOm0oHo2LzWgmGqbh3lsJ1TwZPxjxDhv/8LMAaIkYfr85StTAeX09nNdXBYmI/L3tB95lVc1j\nvPzO07SFWgDIy81nwsBzuPL8mxnZb7xWRUSki4oSSYvwoWaCO+vx5PoomTjQ7ThyFCYaouGezxHa\nuBRPQVn8HJKhpwHgGMPd78WoD8GwYg/XDve5nFZEMklrezOvbHqWVTVL2H7g3a7rI/uNZ+akKzhn\n3Dz27T7AyP4jXUwpIplIRYmkRddhiRMG4MvPdTmNfBITDtLw55sIvbsST2EFve5cTO7gyV2ff/QD\nh3cbDSU58T6SXK14ifR4xhje3b2OlTVLeH3zcsLREABF+aWcf+rFzJz0aYb2GX3EVxxwJ6iIZDQV\nJZJysbYwLe/sA+JbtyQzOaFWGu7+DOEtL+It6kXll5eQO2B81+dfO+iwbK+D1wO3jtEBiSI9XaCl\nlhc3PsWqmsfY1/BB1/XxQ85g1qRPc8bomfhzdBaViCRGRYmkXFPNbkzUoWBEFf7KIrfjyMdw2ptp\n+OP1hLe+irekD5VfepTc/uO6Pr+1yeH+zsb24V7GlKmPRKQnijlR1m9/jVU1S1jz/ks4Jv57oaK4\nNxdOvJwLJlxGv4rBLqcUkWykokRSyonGaFoTfwdNY4Azk9PeRP0fLCLb38Bb1p9e/z979x3fVnYd\n+v6Hg0YAJAGQEtUpiaREiuptVEdtNOPpntgZxXYcl0zs2I5TnPfudep7yb25nxu/e3MT27FnHMd2\nYo9jW3bG00fT1XtvlESRkkh1FjSi45z9/gAIEiJFajQUwbK+n898QJ4CbmAo4qyz9trrKy9iGTcj\nu78tpnjurE5KwbrxGmvGSx2JEKPNDf9ltp54mW0nXqG94yYAmsnMkqq1rJ/3FAsqVmLW5JJCCHH3\n5C+IuKc6Tl9DjySwlRXhmFqa7+GIWxiRAO3PfZxk02E0zyRK/+AlLGMrsvtjuuLZMylCSahxm3h6\numRIhBgtEqk4B+u38t7xF3MaHI73TGH9/KdYM/sxvIVj8zhCIcRIIkGJuGeUUgQOXATAs3SaLP04\nxOihFtqf+01SV05gLimn5A9ewlLalc0ylOLf6nUuR6CsAL5QLR3bhRgNmlrqee/4i+w49TrhWBBI\nNzhcXr2RDfOeombyQvl7LoQYcBKUiHsm0tBCsj2MpbgAV/X4fA9HdKP7r9D23Y+h36zHPLaS0q/8\nGrN3cs4xrzYbHG1XOMzwlRoLLotchAgxUkXiHeyue4v3T7xIw7VT2e3Tx9Wwft5HWTVLGhwKIe4t\nCUrEPePffwFI15KYzDLtZ6hItV6g/TtPofuasUyopeQrL2AuKss5Zn+LweuXDUykMyTjnRKQCDHS\nKKU4d/U47x9/kT1n3iKejAHgtBeyuvYR1s/9KNPHz+rnWYQQYmBIUCLuidgVP/ErfrQCC0XzJvd/\nghgUyWt1tD/7cYzgdaxTF1Pyxc1oLm/OMecCBj8+n15R5+npGrUeCSiFGEmCER/bT77Ke8df5Gr7\nxez2WVMWs2HeU9w3cz12qyN/AxRCjEoSlIh7wn8gnSUpXlCOZpNfs6Eg0XSE9ud+ExXxYZtxP95n\nnke7ZTrGtYjiuTPplbbWT9BYP14CEiFGAsPQOX5xH++feJGD9dvQjRQAblcpa+c8zrq5H2ViiayQ\nKITIH7laFAMu0R4mUn8TzCaKF5bnezgCiDfsxvcvn0DFO7DXPoT3cz/CZMu9ExpMKP65LkVEh/kl\nJp6epkkxqxDD3HVfM9tOvsK2k6/SHkp3UjeZNBZV3s+GeU+xoGIVFrM1z6MUQggJSsQ90LniVtHs\nSVgKpZtvvsXq3sH3w89AMkbBwt/A8+nnMN1yERLXFd+p02mLw7RCE8/MMKNJQCLEsBRLRNl/7l3e\nP/Eydc2HstvLPJNYP/ejrJ3zBCW31JEJIUS+SVAiBlQqHKfj1FUA3Eun5XcwgujRl/D/5IugJ3Es\n/zTuTf+IScttfmgoxQ/O6VwKK8bY4Ss1ZmxmCUiEGE6UUtRfPcHWEy+x58zbRBNhAOzWApZVb2Td\nnCepmbIQzSRTMoUQQ5MEJWJABQ5eROkGzqoybCWufA9nVIvs+w8CP/8jUAautV+i6Kn/0WM6llKK\nzRcMjvsULgt8tdZCsU0CEiGGC39HKztOvc77J17KKVqfMXEe6+c+yfKaB3HaC/M3QCGEuEMSlIgB\no0cTBI80A+BdUdHP0eJeCm99luCLfwlA4Uf+K4UPf73X+pC3rxpsvW5gMcGXasyMd0hAIsRQl9KT\nHGncydbjL3OkcReGSq+W53aVsmb2Y6yb+ySTSqfneZRCCPHBSFAiBkzwcBMqqeOYVop9vDvfwxmV\nlFKEXvs7wu/8IwBFH/1vFK7/aq/H7r5p8MIlA4DPzTAzo1imdQgxlDW3NrD1xMvsPPU6gUg7AGbN\nzNKqdayb+1HmT18hRetCiGFLghIxIIxEisDhSwB4lkuWJB+UniLwyz8luvd50My4P/EtnPd9stdj\nj7UbPJ/pRbJpusaSMRKQCDEUReKhTKf1l3I6rU8urWDd3CdZPftRPK7SPI5QCCEGhgQlYkAEjzZj\nxFIUTPLgmFKS7+GMOioRxfeTLxI/8RpYHXg/90MKZn+k12PrAwb/ek7HAB6drLFhgrnX44QQ+WEo\ng9NNB9l64mX2nXuPZCoOgMPmYtWsh1k370kqx8+WJbuFECOKBCXiQzOSenYZYI/Ukgw6IxrE96+f\nItGwG5PDTckXfoatYnmvx14OK757RidpwP3jNJ6YIhkSIYaKlsA1tp98ha0nX6ElcDW7fXb5UtbP\nfZKl0mldCDGCSVAiPrTQiSvokQS2ccU4po3J93BGFT14g/bnniZ19SSaewIlX/ol1gm1vR7bElN8\n63SKqA6LSk18skKaIwqRb4lkjAP1W9l64mVOXtqPQgEwpng8a+c8wdo5T1DmmZTnUQohxL0nQYn4\nUJRuEDhwAQDv8gq5yB1EqdYLtD/7cfS2i5jHVlHypV9hKS3v9dhAIh2QBJNQ7TbxeWmOKETeKKW4\ncOMMW0+8xK7TWwjHQwBYzTaWzlzP+rkfZfbUpdJTRAgxqkhQIj6UjtPXSAVjWEtdOGdIh+DBkrx8\ngvbvPY0Ruol1ykK8v/8LzIW9Z6k6kopvnk7REoNyl4kv15ixahKQCDHYAuF2dtVtYeuJl2hqOZ/d\nXjFuFuvmPcnKWQ9TWFCcxxEKIUT+SFAi7poyDHx7GwDwLJMsyWCJ1+/E94PfRsVC2Gauxfu7P0Yr\nKOr12EgqHZBcjcB4B/xhrZkC6dYuxKBJ6UkON+xg+8lXOdK4E91Ir3pX5HCzujbdU2Rq2Yw8j1II\nIfJPghJx1zpOXSPlj2L1OimcNT7fwxkVokdfxP/8lyEVp2DBU3g+/Swmi73XY2O64tundZrDMLYA\n/mS2hSKrBCRC3GtKKS7ePMu2k6+w6/QbhKIBADSTmUWV97NmzuMsqVorPUWEEKIbCUrEXVG6gW9P\nJkuyohKTJnOf77WOrd8l9NJfg1I4V/8exR/7n5i03pfzTeiK79TpXOhQlNjga7MteGwSkAhxL/nD\nbew6/QbbTr5KU0t9dvuUMZWsnfMEq2sfwXObaZZCCDHaSVAi7kro1FVSgSjWEheFsybkezgjmjIM\nQi/9FeFtzwFQ9MTf4Nrwh7edLpc0FM+e0akPKtw2+NocCyV2CUiEuBc6p2dtO/EKRxp3Yaj09KzC\nAjerax9m7ZwnmDauRqa3CiFEPyQoER+Y0g38exsB8K6owCRF0/eMSsbwP/8lYsdeBrMVz6e+g2Px\nb972+JSh+JezOnUBRZEVvlZrYWyB/P8RYiB1rp617eQr7K7bkjM9a3HlGtbOfYKFFauxWmx5HqkQ\nQgwfEpSIDyybJSl14aqRLMm9YoR9tP/gt0k27sVUUIT3meexz7j/tsenDMW/ntM54VO4LPDHtRbG\nOyUgEWKg+Dta2Xn6DbadfIXm1obs9vKxVayd8ySrah/G4yrN4wiFEGL4kqBEfCBKN/Bnakm8Kyol\nS3KPpNqaaP/e0+g369E8Eyn54masE3tvigjpgOT753SOtSucZvijWjOTXfL/RogPK5lKcPLyXv7z\n6Lc52rg7Oz2ryOFhVef0rLJqmZ4lhBAfkgQl4gMJnbyS7UviqpYVt+6FZPMx2r//CYzgDSwTain5\n/V9g7qOjczIzZeuET+HMZEimFsoFkhB3SylF4/W69OpZdVsIx4IAmDUzSyrXZqdnyepZQggxcCQo\nEXcsp5ZkZZVkSe6BWN07+H/0eVQijG3GmnQPEsftm6klDcX3zuic9HdN2SqXgESIu+LraGHnqTfY\ndupVLnebnjXBPY0HF3+cVbMexu0qyeMIhRBi5JKgRNyx4LHmdJZkTCGu6nH5Hs6IE9n7PIHNXwND\np2Dx03g++W1MfRTKJg3Fc2d0TmUCkq/NtsiULSE+oEQqzuHz29l28hWOXtiDUgaQnp61uvZR1s55\nHL3DQmVlZZ5HKoQQI5sEJeKOGIkU/j3pLEnJ6hkyf3oAKcMg9NrfEX73nwBwbfwaRY/9VZ/vcUJP\nL/tbF1AUWdKNESdJQCLEHVFK0XD9FNtPvsquujdzpmctqlrP2jmPs6BiVXZ6VkNHQ19PJ4QQYgBI\nUCLuSODQJfRIAvsEN86qsfkezoihEhH8P/0ysWOvgGam+OP/C9eqz/V5TkxXfLdO51wws+zvbAsT\nZZUtIfrVGrzGjlNvsOPUq1xtv5TdPq2smrVzn2DVrIcpdnrzOEIhhBi9Bi0o2bRp0w+Bx4Cbmzdv\nnpvZVgL8ApgKXAQ2bd682T9YYxJ3Ro8m8O+/CEDJmpmSJRkgeuA6vh98mmTTYUwFxXg//yPs1ev7\nPKcjqfh2nc6lDoXbCn8sAYkQfYrEO9h/7j22n3yV082HstvdzhJW1T7C2jlPMLVsRh5HKIQQAgY3\nU/Ij4NvAj7tt+zPg7c2bN/9/mzZt+nrm+z8bxDGJO+DfdwGVSOGYVoqjXIo8B0Ly6mna/+W3MPxX\nMJdOxfuFn2EdX9PnOf6E4lunUlyNwhh7OiCRxohC9KQbKU5c3M+OU69xoP59Eqk4AFaLnaVV67h/\n9qPMm74csyaTBYQQYqgYtL/Imzdv3rFp06Zpt2x+Elib+frfga1IUDKkpEIxgkeaACi5X+4mDoTY\n6bfx//szqHgH1mlL8T7zPOaivqfEtcYU/3QqRWscJjjgj2oteO0SkAjR3aWb9Ww/9Sq7Tr+BP9yW\n3T5r8iLun/MYy6sfwGkvyuMIhRBC3E6+bxON27x5843M1zcAWdJpiPHtbkClDFzV47CPd+d7OMNe\neMf3Cb7w56AMChZ+DM+n/hmTtaDPc65GFN88nSKQgHKXiT+qNVNolYBECEgv47vr9Ba2n3qNppb6\n7Pbx3nLWzH6M1bMfpcw9MY8jFEKIkSuVMgj6IvjbowTaI/h9Udx32cYu30FJ1ubNm9WmTZtUX8c0\nNMgKKAPhjt/HUAJOXAYTdJTb6ZD3v1d39H4aKaw7/gnr8V8AkFz6e0SWfZH2pit9nnY9aeNXvrFE\nlZnJ1hhPOVu40aS40edZw5f8Gx9YI/X9TKTi1F09wJGm7Zy/cQxF+qPDYXUxb8oqFpSvYUpJepXA\nUGuUUOuHfx9G6nuZL/J+Dhx5LweWvJ+5lFIkYjrhUIpwKEk4mCQcShIJpR+j4VSPczb8Ztld/ax8\nByU3Nm3aNH7z5s3XN23aNAG42dfBsk78h9fQ0HDH7+ONl48SVlA0bxJjF8y6xyMbnu7k/TRiIfw/\n/j3ip98Gsw33J7+Fc8mmfp/7lM9g81mduII5HhNfrC7EZh65U08+yO+m6N9Iez8NZVDXfJgdp15j\n39l3iSbCAJg1C4sqV3P/7MdYWLEaax+9fe7WSHsv803ez4Ej7+XAGq3vp54yCPgzmY5MxiPQHsXf\nHsHfHiGZ0G97rskExR4H7hInnpL0I9zdmlX5DkpeBj4LfCPz+GJ+hyM6xa74CZ+9gcmi4V1Zle/h\nDFup1ov4/vVTpK6fweQqoeSZ57FVLO/3vL03DX7coGMouG+Mic9UmbFoMmVLjD5X2i6w49Tr7Dz9\nOq3B69ntVRPmsGbOY6yoeYgihyePIxRCiKFNKUU0kuwRbATao/h9EUKBGPQxV8lmt+ApdeL2OvCU\nOvF4O4MQJ0WeAsxmLef4w4cP39U4B3NJ4J+RLmofs2nTpmbg/wH+Hti8adOmZ8gsCTxY4xG3p5Si\n7f0zALiXTsNS1HfNg+hdvH4Hvh99DhXxYS6bQckXf45lzPQ+z1FK8eYVgxeb0l2lH5qo8dRUDU2W\nYRajSDDiY/eZt9hx6jUarp3Kbh9TPIH7Zz/K/bWPMrF0Wv4GKIQQQ4yeMgj6oznBRmcAEmiPkIj3\nne0o8hTgKXHmZDw6vy5wWAelHcRgrr71ydvs2jhYYxB3Jnz2BvFrAcxOG577+r6IFj0ppYjs+iHB\nF/4MDB177UN4fudf0BzFfZ5nKMUvLhhsu25gAp6errFhgnlwBi1EniVTCY407mT7yVc50rgT3Uh/\ngDpsLpZXb+T+2Y9RM2Uhmknr55mEEGLkUUoRiya7Csrbc4OOUCCG6jPbYc4GHe4SB55MpsNd4qDY\n7cBsyf/f1nxP3xJDjEoZtG8/B4B3VRWaTX5FPgiVShB84c+I7P43AFwP/DFFj/0VJq3v4CJpKH54\nTudIu8Jigs/PMLN4TP7/QAhxLxnK4NyVY+w89QZ7zr5NOBYEQDOZWVCxijWzH2Nx1RrsVkeeRyqE\nEPeerhuE/LHc6VXtEQK+KP62CIl4z6LyrG7Zjs5gw+PNPJY6By3b8WHIFafIETjSRCoQxVrqomje\npHwPZ1jRO1rx/+hzJBp2g8WO5xPfwrHk6X7PCyUVz57RaQwpHGb4co2ZmW4JSMTI1VknsqtuCy2B\nq9nt08qquX/2Y6ya9RE8hWPyOEIhhBh4ndmOW4ONzqV0Q/5on9kOq82cqenoynZ0PhZ7hka248OQ\noERk6dEE/j3ppfBK11Vj0ob3L/dgSl49he/7n0L3NaO5J+B95ifYyhf1e97ViOK7demmiF4bfHWW\nhUmuoX0nQ4i74etoYXfdm+w8/QYXbpzJbi8pGsfq2odZXfsI5WOlQasQYnjTdYNQIJYTbHQvMI/H\n+sl2uAt6TK/qnHblcA79bMeHIUGJyPLtacCIp3BMLcUxXe5S3qnosVcI/PQrqEQYa/kivM/8BLN7\nQr/nnfYb/MtZnZgOUwtNfKXGjNs2cv/YiNEnGg+zv/49dp5+g5OXDqBUegEHp72Q5dUbWVX7CLOm\nLJI6ESHEsJKu7cit6eis9QgGYijj9ukOq82cDTbcJemVrDyl6aCj2OPAMsyzHR+GBCUCgER7mOCR\nZgBK1s0c0ZH4QFGGgWXf9/Hv/xcAHEt+C/dv/WO/HdoBtl3X+UWjgQEsKjXxuSozNrO852L4S+lJ\njl3Yw87Tb3Do/DYSqTiQ6SdStZbVtY+wsHI1Nos9zyMVQojeGbpBMBDrGXT4Ivjb7jDb0RlseLuv\nZuXA6bLJNdZtSFAiANJLABuKormTsJf1vUqUACMWxP/TP8B24jUwmSh64m9wrf9qv39oDKX41UWD\n966l7xg/PEnjyXJZ8lcMb0op6q+eYOfp19lz5m1C0a7GWbMmL2JV7SMsr36AQoc7j6MUQogu6dqO\nrmAj0B7l6uVW3otdJujvO9thsZrxlHYVknf27PCUONLZDqusnHk3JCgRRBpaiDa2YrJZ8N4vc7r7\nk7x+Bt8PP4t+sx5lK6Tkcz+goPbBfs+L6YofnNM54VOYTfDpSjMrykZvmlYMf1fbLrLz9BvsrHuD\nm/4r2e2TSytYPfsRVs16hLF3MJVRCCEGmqEbhIKxns0CM4+xaLLP8wuL7T1qOjwlDtxeJ85CyXbc\nCxKUjHIqZdD6Xrro1LuqEotLplT0JXrsZQL/8VVUvAPLhFpCG/+Ogtp1/Z53I6p49kyK61FwWeBL\n1WZmyApbYhjyh9vYXfcmu05voeF6V2NDb+FYVs76CPfXPsrUMpkCKoS49+Kx7n07cvt3BP1RjP6y\nHdksRzrYiMYD1MyuwO2VbEc+SFAyygUOXSTlj2AtdeFeWJ7v4QxZytAJvfZ3hN/9JgAFCz+G+xPf\nJHj5er/nHm83+GF9uqB9ggO+XGOhzCEXbGL4iCUiHKjfys7Tb3Di4j4M1dXY8L6ZG1g9+1FmT1mM\n1k8/HiGE+CAMQxEKxNKrV2WWz+1cSjfQHiEa6T/b4fb2bBboKek929HQ0EBpWeG9fEmiDxKUjGKp\njhi+PY0AlG6owWSWO/e9MTra8P3490ic2waamaIn/xbX2i/fUf3IlssGrzQbKGBhiYnPzjBTIAXt\nYhjQjRTHL+5j1+k3OFD/PvFkDACzZmZxxRpWz36ExZVrsN3Bwg5CCHE78ViqK8Phi+ZMswr6oxh6\nX9kOLaeQ3NOtvqPY68Aq2Y5hRYKSUax92zlUUsdZVYZzmiwB3Jtk81F8P/wMuu8yWuFYPJ/9AfYZ\nq/s9L6Yr/q1e52i7wgR8tFzj4UmaTGkRQ1pnwfruui3sOfM2gUh7dt/MSfNZXfsIy6s3Uuz05nGU\nQojhxDAUHcHYbZfQ7S/b4Sqy5wQb2RoPrwNXkV0+V0cQCUpGqdhlHx2nr2Eya5Sur873cIakyP6f\nEdj8p5CKY526GO/n/w2zp/8u993rRxxm+N2ZZuZ6JQslhq7mlvPsrNvC7ro3czqsTyyZyuraR1lV\n+zDjPJPzOEIhxFCWiKd6FJL7fRECbREC/WU7LBrFmeVzb+1U7vY6sdok2zFaSFAyCinDoPXdOgDc\n903D6nHmeURDi0rGCP76L4js/jcAnCs+S/HH/x7THfRVONJm8OPzOtFM/ciXaiyMk/oRMQTd9F9h\n95l0wXpza0N2u7dwLCtrHmLlrIepGD9L7kIKIVCG6lrJKhNsZPt2tEeJhhN9nu8qsqf7dvSympWr\n0I5Jk78zQoKSUSlwuInEzRCW4gI8903P93CGlFTrBXz/9nlSl4+DxY7749/AueIz/Z9nKH59yeDd\nTP+RBSUmPif1I2KI8Yfb2HvmbXbVvUn91ePZ7a6CYpZXb2TlrI8wa/JCKVgXYhRKxFPdajpyV7MK\n+qLofWQ7zBYNt7errqMz6Ehvc2CzyeWm6J/8low2kSS+nRcAGLOxFk3+UGTFjr+K/z++iooFMY+Z\njvdzP8I6eV6/57XHFd8/q3OhQ6GZ4GNTNR6YIPUjYmiIxEPsP/c+u+q2cPLSAZRKB852awGLq9ay\natbDzJ++AovZmueRCiHuJWUoOkLxXoOOQHuUSD/ZDmehLWdaVffgo7BIsh3iw5Mr0tHmeGu6uH1G\nGc7KsfkezZCg9CShV/6W8NbvAmCf9zieT/4zmqP/zvaN8QK2HEsRToHXBl+oNlNRJPUjIr8SyRgn\nL+/lpRPPcaRhJ0k9fbFh1iwsqFjNylkfYXHVWgpsjjyPVAgxkBKJFIH2aHb53EB7BH9m+dyAL4qe\nMm57rtlsylk+t/tqVm6vA5tdLhnFvSW/YaNIuOEmpqthTFYzYx6Yle/hDAm67zK+f3+G5MUDoFko\nevJv7mi5X10pXmky2OIvA2C2x8TnZ5gptMqdIpEfupHi5KX97Dq9hQP1W4kmwgCYMFE7ZTGrah9m\n2cwHKHS48zxSIcTd6sx2dAYbFxvaOHsonO1YHunoJ9vhsuUEHd37d0i2Q+SbBCWjhJHUaXsnXdzu\nXV2FpUh6C8Tr3sX3/O+jwu1onol4P/sDbNOX9Xtee1zxw3qd80GFCcVHy808NElDk+laYpAZyqD+\nynF21b3J3rNvE4z4svsmeSvZsOBJVtQ8RElRWR5HKYT4IJIJnYCvayWrnL4dviipPrIdmtnUrbaj\nW9+OTAZEsh1iKJPfzlHCv6eBVDCGcttwLxrdnduVodOx5Rt0vP0PoBT2mg14Pv09tMLSfs892Grw\nHw06ER2KrfBI4U3WT5alUsXgUUrR1FLPrrot7K57i9bgtey+iSVTWTXrYVbM+ghRX4rKyso8jlQI\n0RulFOFQPLemo3O6lS9KOBTv83yHy5YONrxOlCnGtMpJ2VqPwuICNMl2iGFKgpJRINESwn/gYvqb\nhWWYtNFb86D7r+D/yZdINOwCk0bho39O4cY/7fc9iemKzRd0dt9Mrz4y12viM1Vmbjb1/eEhxEC5\n7mtmz5m32HV6C5fbGrPbS4rGsbLmIVbVPsy0surs1MMGX8PtnkoIcY8lk3qmtiOSqe3ILKWb2ZZK\n9pPt8Dh6TK/qLDC3F3RdujU0NFBZKTfGxMggQckIpwyDli0nwVAUL5hCoKT/XhsjVezkFvw/+2p6\nulZRGZ7f+R72mWv7Pe9Sh8EPzuncjIFVg49P1Vg7Pr261s1BGLcYvVoC19h75m32nHmLxht12e1F\nDjfLqjeyatbDVE9egGYavTcahMiHzmxH1xK6uUvp9pvtcFpzCsk7O5R7Sp2S7RCjlgQlI1zg4CXi\n14OYiwooWTOTwOVL+R7SoFOpOMGX/4bI9u8BYK/ZgPu3v4u5n3n2hlK8dcXg5WYDQ8EkJzwz08JE\np3xYiHunPdTC3rNvs+fM2zm9RAqsTpbMSC/hO3faMlnCV4h7LJnUCd4m6Og326GZ0l3KO5fPLXXm\nNA+0F8i/XyFuJUHJCJZoD+PbdR6AsR+pRRuFBW6pm+fx/fj30s0QNQtFj/81rnV/0O90rZaY4sfn\ndeqD6elaGyZo/MZUDavcvRL3QCDczr5z77LnzNucaT6MIv17Z7PYWVS5hpWzHmLB9JXYrLJAhRAD\nRSlFpCORG3R0KzDvCPad7ShwWHtMr+p8LCouQDNLBlOID2L0XaWOEkopWt88hU8MLB8AACAASURB\nVEoZFM6eiHP66OtJEtn/c4K/+i+oRBhz6TQ8n/k+tqmL+zxHKcWOGwb/edEgbqSL2T9TZWaOVz5c\nxMDqiAbYX/8+e+re4mRTV1NDq9nGgoqVrKh5iEWV91Ngc+Z5pEIMX6mkTsAXvU2n8iippH7bczXN\nRLHHkRNsdO9UXuCQbIcQA0mCkhEqeLSZ2GUfZqeN0vXV+R7OoDJiIYK/+i9ED24GoGDhx3Bv+j/9\nNkNsjyt+cl6nLpC+S72k1MQnKqT3iBg4kXiIg/Xb2HPmLY5f3ItupC+IzJqZedNXsaLmIZbMWIvT\nXpTnkQoxPCiliIQTPadXZVa1+iDZjuxjZvncYrdkO4QYTBKUjEDJQJT2becAKN04C7PDlucRDZ5E\n0xH8P/4CemsjJpuT4o/9PY5lv91nM0SlFHta0qtrxXRwWeCTFWaWjJEPI/HhxRJRDjdsZ8+Ztzja\nuDvbXd1k0pg7dRkrah5k6cz1FDk8eR6pEENTKmUQ9HULNnxRAm2R7GpWycTtsx0mzUSxpyBbSH5r\n/w7JdggxdEhQMsJkp20ldVwzx1FYPT7fQxoUytDpeOef6NjyDTBSWCbOxvOZf8U6vu8skT+h+GmD\nzglfOjsyv8TEpyrMuG2SHRF3L5GMcfTCbnbXvcXhhu0kUum7tSZMzJq8iBWzHuS+mQ/gcfXfG0eI\nkU4pRTSczC6f21lI3lnrEQrGyJRZ9cpeYMlOq+pazSr9KNkOIYYPCUpGmOCRZqKX2tAcVkofmJXv\n4QyKVNsl/M9/ieSFfQA41/w+xU/8v5j6KAo2lGLXDcV/XkpnRxxm+K3pZpaNNfWZVRHidlJ6kmMX\n9rDnzNscrN9KLBnJ7psxcS4rah5iefVG6a4uRqVUyiDoT2c6Gs/6aT57JqfA/E6yHd2Djc7lcz2S\n7RBixJCgZARJtIdp33YWgDEP1mIpHNk9SZRSRA/8nOB/fh0V70BzT8DzqX/GXr2+z/OuR9PZkc6V\nteZ609kRr12CEfHBpPQkp5oOsOfM2xw49z7heCi7r2LcrHQgUvMgY90T8jhKIe49pRTRSLKrQ3l7\nt6V0fRFCgVuzHS0559vslq5lc0udeLpNtSryFGCWbIcQI54EJSOEMgxaXj+RXm2rduKIn7ZlhNsJ\nbP5TYsdeBqBg/hO4N/0jmqvktuekDMVbVw1ebzZIKSiyprMji0slOyLuXEpPcvLSAfaefYeD9Vvp\niAWy+8rHVrGi5iFW1DzEeO+UPI5SiIGnZ7Id3YON7gXmiXgf2Q4TFHkdeLwOTJYU5dPGdTUNLEmv\nZCV/h4UY3SQoGSH8ey8QvxbAXFRA6QM1+R7OPRU/+z7+//gqRuAaJnshxR//Bo6ln+jzA+1CyOD5\nBp0rmRk1K8tMfHyqGZesrCXuQEpPcuLSfvadfYcD9VsJx4LZfZNKp7O8eiMrah5i8piKPI5SiA9H\nKUUsmsxZvap70BEKxFB91HbY7OZutR25fTuK3Q7MlnS2o6GhgcrKykF6VUKI4UKCkhEgfj2Ab08D\nAGWPzME8QjvFqmSM0Kv/jfC25wCwTr8Pz28/h2XMtNueE04pXrpksOOGgQLG2OHTlWZqPDIVQPQt\npSc5fnEv+86+y8H6rTlTsyaXVrCseiPLazYyZYxcXInhQ9c7azt671SeiKduf7IJijIrWWWDDq8T\nd2m61kOyHUKID0OCkmHOSOrcfP0EGIrixeU4po7M1XwSTYcJ/PQrpG6cA81C4cNfp/CBP8Zk7v1X\n2FCKvTcVL1zS6UiBBmycqPHEFA2bWT40Re+SqUQmEHmHg+e3EYl3ZPdNHlPJ8uqNLK/eKBkRMWR1\nZjt67dvhixLyR/vMdlht5kxNh7NH/45iT1e2QwghBpoEJcNc2/tnSbaFsZa4KLl/Zr6HM+BUKk7o\nzf9F+N1vgqFjLpuB59PPYitfdNtzmsOKnzXqNIbSn7wzik18ssLMRKcEI6KnzkBk79l3OHRLIDKl\nMxCpeZBJpdPzOEohuui6QSgQw98W6erb0S34iMf6yXa4C3pMr+qcduVwSrZDCJEfEpQMYx1nrxM6\n1gxmE2WPz0OzmvM9pAGVvHwc/0+/QuraaTCZcK3/A4oe+QtMNkevx0dSileaDLZeT0/VKrbCx6eZ\nuW+MFLKLXIlUnOMXugKRaCKc3Vc+dgbLqzeyrPoBCURE3qRrO3pOrwq0RwgGYijj9ukOq82cDTZu\nbRZY7HFgkWyHEGIIkqBkmEoGorS+eQqA0rXV2McV53lEA0fpSTre/j90vPUPYKQwj5mO51PfwVax\nvNfjDaXY16L49SWdYDI9VWv9hPRULYdFghGRlkjFOXZhN/vOvsuh89tzApGpZTMzgchGJpZMzeMo\nxWhh6AbBQCx3elVn08C2O8t2dC6f6/Z2699R4sDpssmNGCHEsCNByTCkDIObrx7HiKdwVo6leFF5\nvoc0YJLXTuP/6R+QunwMAOf9X6To8b9Gs7t6Pb4+aPDLCwZN4fRdw8qi9FStyS75QBZdndX3nn2H\nw+d35DQ0nFZWnS5Wr97IhJKR829IDB3p2o7cYCPgS2c+gv7+sx3ZQvJbMh7FHgeWEZYZF0IICUqG\nId+uBuJX/ZgL7Yx9ZM6IuCOm9BTh975NaMs3QE9gLinH/cl/xj5jda/Ht8QUL1zUOdKe/lD32OCp\ncunILiCWiHCkcSf7z73PkYadPQKR5TUbWV79oPQRER+aoRuEgrHsFKtbmwbGosk+zy8stndbQtfR\n9eh14iyUbIcQYnSRoGSYiV5qw7+3EUxQ9vg8zA5bvof0oSWvnCTw8z8m2XwEAOfKz1H05N+iFRT1\nODaaUrx+2eD9a+kGiDYNHpqk8eBEDbusqjVqdcSCHD6/nf3n3uPYxb0kU/Hsvopxs1hWs5FlMx+Q\nQER8YPFYEn9rjHPR6z36dwT9UYw+sh0Wq7lHsNHZtdztlWyHEEJ0J0HJMJLqiHHz1eMAeJZX4phy\n++7lw4FKxgi99b8Jv/stMFJonkl4PvFN7DUbehyrK8WuGwavNBmEMlOtl4818dFyM167BCOjkT/c\nxsH6bew/9y6nmg6gG13dpGdOms99M9Zz38wNlHkm5XGUYqgzDEUoW9vRLdORWdEqGunMdjT3en5h\nsT0TbGSCjm6rWUm2Qwgh7pwEJcOE0g1uvHwMPZKgoLwE78rh3Sch0bgX/8//GP1mPZhMOO//AkWP\n/VWP7IhSisNtipebdG7E0tuqikw8PV1jaqGsIDPatAavs//cexw49z5nLh9Bkb5LrZnMzC5fyrLq\nDSypWk9J0dg8j1QMJfFYqivo8OWuZhX0RzH0vrIdGg6XhbLx7lumWTkp9jqwSrZDCCEGhAQlw0Tb\ntnPEr6TrSMoen4dJG54X5EYsSOjV/05k5w8A0n1HPvktbNOX9Ti2zm/w60tdRexjC9J1I4tKpW5k\nNLnua2bfuXfZf+49Gq6dym43axbmTVvGfTMfYHHVGoqd3jyOUuSTYSg6grHbLqHble3onavInhNs\nZPt2eB24iuw0NjZSWVk5SK9GCCFGJwlKhoGOM9cJHroEmolxT87H4rLne0h3JXbqLQK//FMM/9V0\nV/aNf0LhQ/8XJkvu67kYMnixyeBMIB2MuK3w2BSNVWUaZk2CkZFOKUVz63n2n3uf/efepanlfHaf\n3VrA/OmruG/mehZVrsZp71l3JEamRDzVo5C8M/gI9JftsGgUZ5bPze1Ung48rDbJdgghRL5JUDLE\nJdo6aNlyEoDS9dUUTBp+d4P1UAvBX/8FscP/CYC1fBHuT3wL68TanOOuRxQvN+scbktfXDjM8JFJ\nGhsmaNikiH1EU0pxuf08+y6/xv5z73Pd15Td57C5WFy1hvtmbmD+9BXYrb03zxTDmzJU10pWvgiB\ntm5L6bZHiYYTfZ7vKrKn+3bc0qHcU+LAVWjHJDc0hBBiSJOgZAgzEiluvHQUldRxzRpP8cLh1UtB\nGQbRfT8h+MrfoiJ+sDooevQvcK39Eiat687k9Yji9cs6B1rTFQJWDTZM0HhooobLKhcSI5Vh6Jy9\ncpz9malZbaEb2X1FDg9LZ6xj6cwNzJ16HxazNY8jFQMlEU/1qOnorPUI+qLofWQ7zBat16DD7XXg\nLnFgs8nHmRBCDGfyV3yIUkpx87XjJNvCWEtdjH1o9rCqo0hePUVg85+SvHgAAFv1etxP/wOWMdOy\nx9wajJhNsLJM49HJmqyoNUIlUnFOXNzHwfqtHGrYTjDiy+4rKvCysvYh7puxnpopCzFr8udpuFGG\noiMU7zXoCLRHifST7XAW2rJBR+fyuR5vutajsEiyHUIIMZLJp/4Q5dtRT+R8C1qBhfG/sRBtmNwF\nNOIddGz5BuFtz4GhoxWPo/ip/0HBwt/IBlW3C0YenqRRWiAXHSNNRyzI0YadHDi/laONu4kno9l9\nZZ5J3DdjA8uqH4BIATOqZuRxpOJOJBIpAtlgI/OYWT434Iuip4zbnms2m3B7nbi7BRudBeZurwOb\nfXj8nRNCCDHw5BNgCOo4fRX/vgtgMlH2xAKsXle+h9QvpRTxE68TeOHr6UJ2kwnn/V+k6NG/QHMU\nA3AlrNhyReegBCMjXlvoBgfrt3Gwfiunmw/m9BCZPq6GJTPWsXTGOqaMqcoGqw0NDfkaruimM9vR\nPdjoXlge6egn2+Gy9ajp6FzVSrIdQgghbkeCkiEmds1Py5b0sqelG6pxTivN84j6l2prIvjC14mf\nehMA65QFFD/9D9jKFwJwPmjw1hWD4770fHEJRkYepRSX2xo5WL+VA/Vbabx+Oruvs4fI0hnrWDJj\nLWOKJ+RxpAIgmdCzBeS3Bh1BX5RUP9mOYm9XoJENOjKrWkm2QwghxN2QT48hJBWKcePXR1G6QdG8\nyUO+sF0lY4S3Pkvorf8NySimgiKKHvtrnKs+DyaNE+0Gb14xOB9KByNWDVaVaTw4UYKRkcAwdOqv\nnuBA/VYO1m/lur+r43V66d6VLJmxjkUVqyl0uPM40tFHGYpoOMXli75eO5WHQ/E+z3e4bOlgw+vs\n0b+jsLgATbIdQgghBpgEJUOEkUhx/ddH0MNxCqZ4GbNx1pAtbFdKET/1JsEX/xK99QIABQs/RvFT\nfwfF49jfqnjrSoorkfTxTjOsm6CxbrxGsW1oviZxZxKpOCcv7U8Xqp/fTiDSnt1X5PCwuGotS2es\nY+7U+7BZC/I40pEvmdTTtR2+CP62SNdSupnsRzrbcaHXczWzCbenl2aBmUDEXiAfDUIIIQaXfPIM\nAcowuPHKMRI3gljcDsY9uQCTeWh2bE/dPE/whT8nfuZdACzjqyn+jf+JqlrLtpsG755P0Za5Ceu2\nwcYJGveP1yiQPiPDVjgW4kjDjt4L1d2TMtOy1lM9aR6aJk3oBopSinAo3m0J3dyldPvLdtjsGiVj\ni3rtVC7ZDiGEEEONBCV5ppSi9e06oo2taA4rE55ejNlpy/ewejBiITre+gfC254FPYmpoJiiR/6M\n8JJneOmmxu6DKWKZWuZxBfDQJDP3jTVhlQufYelm4CqHz2/n0PntPQrVp5VVZwOR8rFVQzajNxwk\nkzrBXvt2pDMgqeTtazs0LV3b4em2fG73Ph6XrzRRWVk5iK9GCCGEuHsSlOSZf28joeOXMVk0xv/G\noiG30pYyDKKHfknolb/BCN4Ak4mC5Z/mxtq/4deBYo4fUyjSF04zik1smKAxv8SEJheqw4qhDBqu\nneLQ+e0cbthOU8v57L50ofoSlsxYx5KqdYx1S6H6nVJKEelI3FLTEcHflg46OoJ9ZzsKHNYewUbn\nqlZFxXa0IZpRFUIIIT4oCUryKHTqKr6d6Yu/ssfmUTDJk+cR5Uo0HSH4wp9lGyCapi2j/iPfYXti\nCs0XABQWEywZY2LDBDPlhRKIDCexRJSTl/alA5HGnQTCbdl9DpuL+dNXsLhqLQsqVlLkGFq/m0NJ\nKqkT8EVv06k8Siqp3/ZcTTNR7HH0uoSu2+ugwCGd7IUQQowOEpTkSeRCKy1bTgJQuqEG18xxeR5R\nF913meCr/53YoV8C4C9bxIn1/8h+cw0dmQbcRVZYM05jzXgNtxSvDxvtoRYON+zg0PltnGw6QDLV\ndad+TPEEllStYVHVGmqnLMZilgtiyGQ7wome06syq1rdSbajeyG5p8SZmW7loKi4QLIdQgghBBKU\n5EXsso8bLx4BQ+FeMhX34qn5HhIARixIxzvfJLztWYxUknOTH+fokj/nnK0SpUyQgiku2DDBzJIx\nUi8yHCiluHTzHIfOb+NQw46c/iEAlRNms6RqLYur1uQ0MhxtUimDYG99OzKrWSUTt892mDQTxZ6C\nTLDRs3+HZDuEEEKI/klQMsjiN4Jcf+EwKmVQOGcSJeuq8z0klJ4isvcndLzx9wRSGodnfIUj1V8g\nYC0ByE7RWjNeY3qhadReuA4XyVSCU00HOdyQLlRvC93I7rNZ7MydtpzFlfezsHI13sKxeRzp4FFK\nEQ0nc6dX+bqCj1AwBur259sLLL10KE8/Frsl2yGEEEJ8WBKUDKJEe5hrvzqEEU/hmjmOsR+pzesF\nvlKKeN07+F/+W86aJnJk3jc4N+lhDFN6WdeyAlgzXmP5WI1CqwQiQ1kw4uNI404Ond/O8Qt7iSUj\n2X1e1xgWVt7P4qo1I7p/SCplEPT3nF7VWWB+J9mO3KCja7qVZDuEEEKIe0uCkkGSCka5tvkgRiSB\nY1opZY/Nw6Tl7+5q8spJGt58jv1UcHzpz+hwjAdAAxaWmFg7XmOmW1bRGqo6p2UdadzJ4YadnL92\nEqW6lo+dWjaTxZVrWFy1hunjZ6GZhv+dfKUU0UiyZ4fyzDSrUKDvbIfNbsFT2i3o6DbVqshTgFmy\nHUIIIUTeSFAyCFKhGFd/cQA9FMM+0cO4jy7AZMnPBVDCd5U3X9zBAW0ml2v+Mbu9rECxsszM8jIN\njxSuD0mxRIQTl/ZxpGEnRxp34etoye4zaxZmT72PxVVrWVR5/7BdtlfPZDtyajraOms7IiTifWQ7\nTFDkdXQLNnIzHgUOq0w9FEIIIYYoCUrusVQwytVfHCDlj2IrK2L8xxeh2Qb3bTeU4szVNnacbuCE\nfT6psuUA2Iw4S8aYWDXRQUWR1IoMRdd9zRxu2MGRxp3UNR8mpSez+7yuMSyoWMXCytXMnboMh31o\n9bjpjVKKWDSZnl7VFskWkvvbI7TdDBIN16P6zHaYu9V2OHNWtSr2OCTbIYQQQgxTEpTcQzkBybji\ndLf2gsGZm66UojkM+65FOXg9SsDsBtciACpi51k9fSyLy0uxmyUQGUpSepK65sMcbtjJ0cZdXPNd\nyu4zYWLGxLksrFjNwsrVTCurHpKBpJ4yCAaiudOruhWYJ+Kp255rMtGttiMTdHiduDPTriTbIYQQ\nQoxMEpTcI6lglKs/P0AqkAlINi0ZlIDkZlRxoNVg/02dG3ETYAWzFU/HJRbFjlM1voxFG1bf83GI\nO+fraOFI4y6ONOzkxMV9OUXqLnsR86avYGHlahZMX0mx05vHkaZ1ZjtuDTYC7RH8vighf7TPbIfV\nZk7XdniduEszQUeJg2BHK3PmVWPO09RGIYQQQuSPBCX3QDIQ5dov0gGJfXwx45++twFJIKE42Gpw\noFVxsaPzatCEM9bK7OaXWKQaqV33W9infYyGhoZ7Ng5xZwxDp+H66UxtyE4u3DiTs3/KmEoWVKxm\nUeVqZk6ah1kb/H+mum4Q8se6gg5f7qpW8djtsx2YoMhd0GN6Vee0K4ez92xHQ0NQAhIhhBBilJKg\nZIAl2jq4tvkgekf8ngYkvrjiaLvB4TbF+aDKLjpkS4Wpufwac5teYKY1iOfxv8Re/aUB//nigwlG\nfJy4uI+jF3ZztHEXoag/u89qsTOnfCkLK1ezsGL1oBWpp2s7ek6vCrRHCAZiKOP26Q6rzZwNNm5t\nFljscWCR4EIIIYQQH4AEJQMofj2Q7kMSTVIw2cv4jy1Esw9cQNIWUxzJBCKNoa4LRrPSqWrZwZyG\n/6D66ls4xlVQ9OjXsc99TObf54lh6Jy/dopjF3Zz9MJuGq+dRnVbr3ZM8QQWZYKQ2eVL7knvEEM3\nCAZit/TtyDQNbLuzbEc2w+HNXc3K4ZLaDiGEEEIMHAlKBki0qY3rLxxBJXWcFWMpe3I+mtX8oZ+3\nJaY43JYORC51dF3UWk2KaqOZ6hPPUdWwmYJkCMvE2RR99nvY5zya1x4oo5Wvo4VjF/Zw7MIejl/c\nSzgWzO4zaxZmTVnE/GkrWFC5ismlFQNyUZ+u7cgNNgK+dOYj6O8/25EtJO82vcqTWcnKMgC/v0II\nIYQQd0KCkgEQrr/JzVeOoXSDwlkTGPvIHEx3uTSpoRQXQorjPsXxdoNr0a59Ng3meBSzW7cz5f0/\nx9qWrg+xTKil8OGvUzD3MQlGBlFKT9LYcop9l1/j2IU9XLp5Lmd/mWcSC6avYv70FcwuX0KBzfmB\nf4ahG4SCMfxtmaDjlqaBsWiyz/MLi+05wUb3R6fLJtkOIYQQQgwJEpR8SIHDl2h77wwoKF44hdIH\nZn3gC72Yrqjzp4OQkz5FqNusmgIzzPWaWFgcZ1rdT0i+8W2MwDWgMxj5rxTMfVyCkUFyM3CVY427\nOXZhNycvHchZKctmsTO7fAnzp69kQcUqxnun3NFzxmPJ3OlV3TqWB/1RjD6yHRaruUewkZ5u5cDt\nlWyHEEIIIYYHCUrukjIUbVvPEDzUBIB3VRWeFXc+Jac9rjjhMzjerjgbUKS6XXeOscPcEo35XhMV\nmo/4zu8R3vmvxCPp4mgJRgZPIhmj7vJhjjbu4diF3Vxtv5izv6xoMkur1zK/YiU1kxdis9h7PIdh\nKELZ2o5umQ5fFH9b5I6yHW6vE0+pI1Pb0TXdylko2Q4hhBBCDH8SlNwFI5Hi5msniJy/CWYTYx+e\nQ1HtxD7PSeiK8yHFKZ/itD93WpYJqCgyMc9rYq5XY6ITDP8VOt77Du17f4JKpO/GW6cvo3Dj17DX\nPigXoveIUorLrQ0cv7iP4xf3crr5EMlUPLvfYXMxd9oy5k9fwfzpKwi0RKisrCQeS+G/GcHf7ssG\nG+npVplsh95XtkO7pZC8K+NR7HVglWyHEEIIIUY4CUo+oFRHjBu/PkL8ehCtwMK4pxbimFLS4zil\nFNejcNpvcNqvOBdUJI2u/XYNajwm5ns15nhNFNvSQUbqxjkCL32T6MFfgpGex2WvfZDCB/4EW+WK\nQXmNo42/o5Xjl/Zx4uI+Tl7chy/cmrN/+rga5k1bwcyyJZRYp9PhT+K/EWFv3Q1uXPOxJXyRaKTv\nbIeryJ47vSq7qpUDV5FdgkwhhBBCjGoSlHwAsSt+brx0BD2cwOJ2MP43F2MrcWX3h5KKcwFFXcDg\ntE/Rnsg9f4oLZns0aj0mKopMWLT0hahSinjDbsJbnyV+8nVQCkwaBQs/RuHGP8E6ac5gvswRL56M\ncubyEY5f2MuJS/toajmfs7/Q7qW8aC5jLbMoSlYSb7Vy7XyUK7ofONLrc1osGu7OYOOW1azcXgdW\nm2Q7hBBCCCFuR4KSOxQ81kzrO3VgKAqmeBn35ALiNit17QZnA4qzAYMrkdxzCi1Q6zFRmwlEOrMh\nnZSeJHbkRcLbniXZfDS90WzDed8ncW34QyxjKwbp1Y1shjK4dOMsxy7s5WjDHuqvH0c3ujIbGlbc\nRgWueAXFySocxjhMN0yEgTBJIH2sq8iO25vbobwj6mP23CpchXZMmmQ7hBBCCCHuhgQl/VC6Qeu7\ndYSOXSahmWlfOoPrUydxth6awim6VwpYtXRtSLXbxGyPxhQXaL1MyzHCPiJ7/p3wju9nV9LSXKU4\nV30e5+pnMBePG6RXN/Ik4ikC7VEuXr3IyYv7qL95mMsdp0iojq6DlAmnPpHiVBXFqSoKU1PRsGC2\naLhLc4OObN8OrwObrec/l4aGGIXFA9/4UAghhBBiNJGgpA+B9ihHtl7kQsrG5XmLuVZUjIEJrqVD\nEc0ElYXpIGSmOz0ly9rH3fLUzfOEt3+P6P6fZYvXLeOrca39Mo7FT2OyOQbldQ1nylB0hOKZVay6\nltBtaWul2X+aFv0MQct5YubcuhCb4aE4WclYyyzK3XMpGzO2K+jwpms9Cosk2yGEEEIIkQ8SlHTT\nHlfUBxUNQcW51gTXdQuMr8ruNwFTC03UuNOBSGWRCbu574tYZejEz7xHZOcPiNe9na4XAWzV6ylc\n9xVsNRukyPkWiUQ625HTt8MXJdAWIeCPoqcMdBJ0WJoIWRoIWRoJm6+ARWV/oy2mAia5aqkau4i5\nU++jYsoMPKXOXrMdQgghhBAiv0btFZquFFcj0BA0aAgpzgcVvpzCdAtmw2BSKkrNFCdVXgszik04\nLHcWQBgdbUT2/ZTI7h+ht13KPKUdx5JNuNZ+CeuEWQP+moaLzmxHZ7DRuXxuZ/+OSEeixzkGKcLm\ny+kAxHmBkNaEQVeXSc1kpmLcbOZNX8b86cupnDAbi9k6mC9LCCGEEELcpVERlCiVDjguhBQXOxQX\nOhRNHYqEkXucQ1NMCgWY1NLKpI4gtQvHUbpq6h1nMpRSJC8dJLLzh0SPvgiZ/hbmknKcq34Xx7JP\nYS4cM9Avb0hKJvRsn47emgbqKeO255rNJoo8dihuI2hp5GbyDFdDZ0josewxJkxUjJvF7KlLmV2+\nlJrJCyiwOQfjpQkhhBBCiAE2IoOSmK641KG4EEoHIBdDikAvbSTGFsD0wvQ0rPGXr2PdeRpSBha3\ng7In5lMwwX1HP8+Ih4kd/hXhXT8idfl4eqPJhL32IZyrn8FeswGTNrKWhFWGItwRv23QEQ7F+zzf\n4bKl+3ZkmgYWlzhIWFq53HGKhpaj7Gk+RNgXzDlncmlFJghZQm35EgoLiu/lSxRCCCGE+MCUUmAY\nKN1ApXSUoacfdQOlZx5TqW5f6yijc1vmmJzj9W7H6Lnbbj2m+/m9/ly92SFCugAAGRhJREFU7+fs\n85hbf5be62ss+t5f3tX7NuyDkmhKcTmsaMr819yhuBaFW/tnOy0wrdDE9EIT04rSj4VWE8lAlJYt\nJ4k1tQNQOHsiYx6oQbP3PfUnnRU5RGTf88QOv4CKp1d3MrlKcC7/HZwrP4eldOq9eMmDJp3tuCXo\nyEyzCrRHSPWR7dDMJtyeXpoFZh6tNjPXfc3UNR/iSNNBTu07gD/clvMcZe5JzC5fkg1EvIVj7/VL\nFkIIIcSHpJTKvXBN5X5tZL9O5R7TY3/n9lQ/+3OPu/3+7ueneuwPh0K02+y3OT/V+8+/9bjM96NZ\n0V2eN6yCko5kV+DRFFY0hxU3Yz2PM5tgsrMr+JheZKKsgJxpWEopgscv0/b+GVRCR3PaGPtQLa4Z\nfS/Ha3S0ETn4C6J7nyd1/Ux2u3XaUpyrn8Ex/0lM1uGxRKxSinAoTsAXzc10ZArM+812OK3ZJXNv\nDT4KiwvQtNz3+2r7RY417aDuwGHqmg/16JzucZUyu3wps6cuZU75Uso8k+7J6xZCCCEGS/YCPZm+\nEDaSXRfjRjJzoZt5NJKpvvd1/1rX8V+7xiXP4a6L5d4u5LtfjN/2Qj3Vz/7u5/ceSHTuJ3M3fbiK\n9H/IHTNZLZjMGiZz5tFixqRlHs2Z/yzmzDHdtpm7H9N53i3HWno5vtdjbvPzezu+85w+j9EwWSy3\n/Nzc13Sm7fpdvV/DKij5vw+kemyzmGCS00R5oYkpLpjiMjHZ1ffSvIn2MK1vnSLW7APAOaOMsQ/W\nYnbZez1eGTrxs+8T3fs8sZNvgJ6eC6YVjsGx9LdwLPttrONrBuAVDrxkUifo6wo2Ll1o4fguf3ra\nlS9CKtlHtkMzUex15AYd3ZoH2gtun00ylEFzSwOnm9MBSF3zYQKR9pxjip1eaiYvorZ8MXPKlzKp\ndLqsRCaEEKNMzl31VO5Fu0ql0nelcy7au11Ep1L97+v8+g72GZnAIR1A5D5n7wFEH/s6v7/Hd81b\n7umz372cC2fLLV+bzWg52yw9jtN6Oadrv6Wf/d3Pt/Szv+u46y03mThlcj8/39L7/lsv4DUt3/8L\n8mc0BCU2DSa7TJR3/ldoYoIDzHfYW0KlDPz7GvHtawRdoTmslG6ooXDWhF4vhpPXThM9sJno4V9h\n+K+mN5o07LUP4lj2aQpmfwSTxTaQL/EDU0oR6UjcUtMRwd+WDjo6gneW7bi1U7m7xEmROzfb0Zd0\nEHKe05kApK75EKFoIOcYj6uUWVMWM2vKImqnLJYgRAghPqTud9eNRKrrAjmVwkgku+64Z7/P7E/q\nGMlk5qI5vS17Jz57TDIbIHR9n+q6eO/2vUp2e45u36tkKhsAdF78p+IJGg1j0C7ah4KcC1pL5oLW\nmrm4tVpu2Wfpe1/me81qIRgO4ynxZo/PPvdtLuT73m/u+hm3bu9+572vi/LuzzsMP99DDQ2MqazM\n9zBGrWEVlPzTsv+/vTsNkuOs7zj+nenpOfaaPaSV1pJsHZYP2cLygSEYYogVwAGMkyqemCIFIceb\npFJOXiQVUkneUQGqUgGSSiqcBQngPFyGXEBwLhLC4UNYPiRrV1ppL2m19zVHz5EX3TM7s4e0Wlbq\nndXvUzXVxzy9+9eUvfP8+nm6O7biE9LXYqF/nPGnXsabmAeg9fAuOh+8BSdVHyqKU8Nknv0qmae/\nTGH4hep+p2svqde8h6b7H8O5xtOKCl5wbUfN7XOnap7jUfBW/4MejUZoa09Vw0ahnOHAwd3VIJJM\nre+2uaVSkbOjr/DSwDO8NPAsJwafYz5bf2F6Z0s3t++5h9v33MuhPffQ07n2O5mJiFwr5VIp6ER7\nlPL+spz3O9ylvEf2TD9T01m/Ux/s89sExywJBZUOeCUElL3gbHzeq++g5wurbldCRHWUoC5UFKvb\nlWdfNbqI4xBxgzPgbtCpre2Y164vfa/SYb/EexHXIerE6n9HpYPtxoguO26x47/8Z17+vfpwcfXO\nmvf19XFAnWjZIhoqlKwnkHiT84z/5yss9I4C4HY2s+3Nh0jt6ay2KWVnyP7kn8g882Xyp/67+kc+\n0tRO6sijpO4zuHvvv2p/VCqjHUvDRuUC88uNdiRT7rILydMdTbR3pWhtSxJ1Fuv2/4DtvOIac16G\n3pEXOTl4jJNDx3hl6Hky+fm6NtvadtaNhOxo360QInIdKxeLlHJe0Nn3ajr+tZ37oLNdGwhWCQe1\n++tCQT44ix+0LXvemn5vuRIu1nCmfuAafF7rEokQjbtBJznoLAfbEdef4lK/HSMSj1U7zFHX9Tvs\ndduV950l27HFgBB0yivH1/7eShiIxmP128GxZwfOsf/gwcUOfawxz6qLyMZqqFByJUq5ApP/18f0\nM2ehVCbiOnT8zH7S9+4lEotSys2Re/E7ZI89Sfbl74IXXDHvxEne+RZS9xoSh44Sia18ncmVKhRK\nzKz03I7gblZefvUvxUg0Qlt7cvGajq6m6q10051N6x7tuJTp+QlODh3j5OAxTgwdo//CCYql+hq7\n07v8AHLjvdy+51660zdseB0icmnlctmfopPP+x3xYJk/O8xMtrS4L+9RyuUXO/c1bUt5r/74vLf8\nOK9Q12alzn01HATrlFa/Zm2zicRdoq5LNF7TMQ/2eeUSyZZmv9MddMSrHe7ajri72AGvtlsxKCx2\n2Gs7+vWdd7d65r1+e0ln32m82807M5PEWpvDLkNENpktF0pKhSIzxwaY+sFpShn/gvSWO3fR+YaD\nRF2P7PNPLg8iQPzAA6TuexfJu95JtGltzyepVS6Xycx7dXev8kc+/NAxO5Ndfp/iGolkbFnYqCzb\n0vWjHRutXC5zfnKAk0PHODHoB5GRybN1bSKRKHu7b+W23Ue4dfcRbt11hM7W7qtWk8hmVioU/I56\nNk8pl6eYy1PK5vx9ufoAsDQsrBoAvNXblFcKCZUgkFt9Cs/ZFfdeOxHH8c/KVzrUNR1/v5Nds15p\nV9fxrw8H1Z+15PhoPF7zXv3xK/7eyv5K+8ucqdcUGRGRq2/LhJJyqcTsC8NMfr+P4qwfNhK72ul8\n4EYY/z6z9iPLgoi7735SRx4ledc71nSdSKFQYmZqcXpVJYBULjBfy2jHarfQvRqjHav+O4oe/aMn\ng6lYP+Hk4LFld8ZKuElu7jlcDSE399xJU6LlmtUosppyueyfpc/lKS4NAtmcHxAqr2yeYi63PEDk\ncku2K+2XHJ9b0iY4ZrPd7tI/m+4STbhBB92lGIFEcHY/moj7y3g8aFO7HrxXXY/V7Ks/LrL0uCAw\nrBwqGvMsvoiIhKPhQ0m5WGLu5RGmfnAab9K/u7TbmaS5e4jy4KeY+vj3oJivtr9UECmXy2QWvOVP\nKA+WaxrtCIJGurOJ9o5g2eXfycq5iqMdlzI1N8apkeO8MnSc46d/xPA3TpMv1F+nkm7qrI6A3Lb7\nCDd130LMuXZBSRpTuVz2O/6ZrN+hz+aqy2ImWK95r5jNUcrUtMsstp8Zm2Ay5vqBoRIGsrXhIAgM\n2Xz4F/dGozjJBNFknGgijpOI+530ZG1nfrVOf01nvxIiqoFipbBQCQa1x9WEhfjKnX+d3RcRkUbS\nsKGk5BWZPT7E9I/PUJjxRz+ceI64923Kx58gV0kPkQjuvteQuusRkkcegZYeZqYyjI4uMH3i3JJr\nOxbI5y4x2hGB1o7UYthYMuKRTLmhX6xXGQU5NXycU0PHOTVynIvTw8va9XTcVB0FuW333boofQsp\neQWKmaz/WshSymQXQ0KwvmJIyNSHikpo8N/LLn8v6482bKT5yzcBgpGBRMIPBEEwqLycZGLJdmW9\nst/1Q0RlOxmEisq+uu040WRicbvys2IN+6dTRERkU2q4b9biQp6Z5weZfrq/es1IpDRKbPqrOAv/\nCxSJuCm48fUs9DzIeOurmZxPMdW7wNSPTjE3ffySJ1njCaf6nI7653akaGtPhTbasZqJ2VFeGX7e\nDyHDxzlz/mW8Yn1HMRVv5kDPHRy84TAtke284Z6jtDV1hFTx9a06srCQqYYGf5nxA0Blf7BeymQp\nVILFim1zy35W2Vv+kNGrKZqI46QSfuc9uWRZs99JJZe8F6/bvjg9zQ037fGPiS8NFbVBw1UoEBER\n2WIa6pv9wtf+h/nTs1D2g0Ekfxp39kmi2afxYu2cb32I/tIRBkuHKI7EYQRgvO5nRCLUXNsRhI6O\nJtJd/sjHZhjtWE3Oy9B/4SS9Iy9wavg4rwwfZ2L2wrJ2u7r2cfCGw9XX7q79RKP+9I6+vj4FkjUo\nFQoU5zMU5zMU5heCpb9dXFiork8MDFJIpBbfv1yQyGSv+tSjiOPgNCVxUkmcpiAI1ASCZQGidjsV\ntFkaLpqSy/cF05c26lbZ2b4+ujXdSERE5LrUUKFkvm8eyhDNPYcz9y2mvHmGo3cxkngbY9Gboeh3\njtyEQ2dXUxA2gtARjHi0tadwYptrtGMlhaLHuYu99I28SN/5lzh9/kUGxk5TLtffYrMp0cLBGw5z\nc89hbtl1mAM9d9KSbAup6nCU8h6F2fkgKCxQXMgsrteEiUq48N9fqAkdfttKqCjOZyjl1j4tafzy\nTepEk/EgMKRwUolgmawPEnXbS9qteMxim4gb27TBWkRERGQlkXLYF4xexlNPPVUtsP0bTzCaGWGA\nfZyJv4qpeAcLrkMm5pBxHRZiMTKugxeN+EMijaJcwimO4BT7iRX6iRXO4BQHiVA/DadMlKKzi0Js\nL4XYAQqx/ZSiOyGy+UPWMqUSrpcnkcvi5rIkclni2SzxXJZ4LrO4nc8Rz2Wq7yVylTaLr1hh46cr\nlSIR8okkXjyBF0+QD5Zeoma9bn8cz02QTyQouHE8N04h7i9r1wtunPJVeginiIiISNg+dM9itnjo\noYfW3CFvqJGSP+58lAXXJeM6lBspdNQql4mWLhIr9NeEkLNEWP7U9mJ0ZxBA9lJ09lGI7YFIPISi\n60WKRRK5DIlMZnGZzZDILpDIZkhmMtVwEQ/CRSKXxc1nSVSCRz5HZIMCcSkaJR9PVENEPrEkMNTs\nu2zACNoVYm5jBVsRERGRBtZQoeSLj78u7BKuSLFUYHi8nzMXTnDmwkn6R09ydvQkC7m5ZW23tfVw\noOcQ+3ce4sDOQ+zfeTtNidYNr6mvr499e26kMDOHNzNHYXoWb3beX87MUZiew5uZXVzOzPttp2eD\n5RzF+YUNqcVpShFrbcZpaSLW0kSstdl/tVSWTcRamxa3W5txmmvaBW2jyXho05V029WNo89yY+nz\n3Dj6LDeWPs+No89yY+nz3BjPPvvsuo5rqFCymeW8DOcu9tIfhI/+Cyc5N9aLV1g+ApJu7mL/jts5\n0HNHEEAOkW7uvOLfWcrlyU/N4E1M403N+K/JWbypGfKTwb7JmbplbmKKU5nlNV2RSAQ33UKsrZVY\nWzNuWyuxdAtuWwuxdCux1mZ/PQgNTmvTYtgIwofTnNIdlEREREQEUChZl+n5Cc6N9XK2JoAMTfQv\nuwgdoLt9F3u7b2PfjlvZ230re3fcSkfL9ro25XKZwuw8+fFJ8uNT/mtsCm9y2g8dk9OL4WJqtrpd\nzGSX/b61iDjOYogIXm661V8GwcJfLrapvp9uxWlObdgdl0REREREFEouIedlGBw7w7mLpzh3sZeB\nsV4GLvYyvTCxrG004rB72wH27riNvdtvYXfzjfREtuHOen7I6J0k/8Nezo8/zbnxqboA4k1MX9Hd\nnioiMQe3vQ23I43b0eavt7cR72ir23Y709X1walxDh6+Q3dnEhEREZFNQ6EEKJWKXJgaqgsf5y72\ncmFygDLLL8ZOOkl2ujvYUeqge6GZrnGX9IhH6cI0udFn8Sb+g5Fi0X9Myho5qSRuVzvxrnbiXR3E\nO9O4XWniHWk/dLQvBo1K6HCam644XDjeggKJiIiIiGwqmyKUGGPeCnwUcIBPWWs/fDV+T6HoMTJ5\njqHxM3WvkfGz5IvLr7OIliN0LiTpGHdID3u0j5ToGIvSPFsiwnngfLXt9JJjY63NxLvag6DREYSN\nmtCxZNtpSl6Nf7KIiIiIyKYXeigxxjjAXwFHgSHgx8aYb1prX17vz8zk5hme6GdgtI9zAy8xNNrL\n8Mwg4/kxSiuMfAA0zULHWJSOsYj/uhghPRnBKZaBAhDBaW4l0d1J4lAX8e2dJLq7/O3uLhLdXcS7\nu0hs7yTemSaaCP/WvSIiIiIijSD0UALcD/Raa/sBjDFPAO8ELhlKcl6G4eFezvW9wNDQK5yfOMfo\nwnnGSpPMuavcXaoMrdOQHo/SPhEhHby2ldOkO3eQ2Lmd5I3bSNzXRXx7beDoJL69k1hz08b+y0VE\nREREZFOEkl3AQM32IPCalRp+5IOPMeaNMRGdYy7pLW/g+K9oAdKTfuDoyjfTHelkZ/MN9HTeREvP\nTpL3dpPs6SbRs53kzu04qcTV+HeJiIiIiMgabIZQsubHeh99+A9+ql9UAKZqf+3kqP+6zqz3oTay\nMn2eG0ef5cbS57lx9FluLH2eG0ef5cbS5xmezfCwiSFgT832HvzREhERERERuQ5shpGSp4GDxpi9\nwDDwy8C7Q61IRERERESumUi5vObZU1eNMeZhFm8J/Glr7Z+FXJKIiIiIiFwjmyKUiIiIiIjI9Wsz\nTN9alTHmM8DbgFFr7eGw62lkxpg9wOeBbvybC3zCWvvxcKtqTMaYJPBfQAKIA9+w1n4g3KoaX/DM\noqeBQWvtO8Kup1EZY/qBGaAIeNba+8OtqLEZY9qBTwF34P/t/DVr7Q/CraoxGWNuBZ6o2bUf+BN9\nF62PMeYDwK8AJeA48H5r7SrPRJBLMcY8DvwGEAE+aa39WMglNZSV+uvGmE7gH4CbgH7AWGunVv0h\nbI4L3S/ls8Bbwy5ii/CA37PW3gG8FvhtY8ztIdfUkKy1WeBN1tojwKuANxljXh9yWVvB48BLXMEd\n+WRFZeCN1tq7FUg2xMeAf7HW3o7///u6H+x7vbPWngz+u7wbuBdYAL4eclkNKbgO9zeBe4JOoAM8\nFmpRDcoYcyd+IHk1cBfwdmPMgXCrajgr9df/EPg3a+0twFPB9iVt6lBirf0eMBl2HVuBtfa8tfZY\nsD6H/8V6Q7hVNS5r7UKwGsf/MpgIsZyGZ4zZDfwC/hnpSMjlbAX6DDeAMSYNvMFa+xkAa23BWjsd\ncllbxVGgz1o7cNmWspIZ/JONTcaYGNCEfzdTuXK3AT+01mattUX8mRC/FHJNDWWV/vojwOeC9c8B\nj17u52zq6VtydQRnWO4GfhhyKQ3LGBMFngUOAH9jrX0p5JIa3V8Avw+0hV3IFlAGvmuMKQJ/a639\nZNgFNbB9wEVjzGfxz6A+Azxec1JC1u8x4IthF9GorLUTxpg/B84BGeDb1trvhlxWo3oB+GAw3SiL\nPw3pR+GWtCXssNZeCNYvADsud8CmHimRjWeMaQG+gv/FOhd2PY3KWlsKpm/tBn7WGPPGkEtqWMaY\nt+PPQ30OneHfCA8E02Mexp+m+YawC2pgMeAe4K+ttfcA86xhCoJcmjEmDrwD+HLYtTSqYHrR7wJ7\n8Wc9tBhj3hNqUQ3KWnsC+DDwHeBfgefwr9ORDWKtLbOGqdkKJdcRY4wLfBX4e2vtk2HXsxUEUzn+\nGbgv7Foa2OuAR4wxZ4AvAT9njPl8yDU1LGvtSLC8iD9fX9eVrN8g/o0XfhxsfwU/pMhP52HgmeC/\nUVmf+4DvW2vHrbUF4Gv4f0tlHay1n7HW3metfRCYAk6GXdMWcMEYsxPAGNMDjF7uAIWS64QxJgJ8\nGnjJWvvRsOtpZMaYbcEdeTDGpICfxz+zIutgrf0ja+0ea+0+/Ckd/26tfW/YdTUiY0yTMaY1WG8G\n3ox/Vx5ZB2vteWDAGHNLsOso8GKIJW0V78Y/ASHrdwJ4rTEmFXy/H8W/UYisgzGmO1jeCPwimlq4\nEb4JvC9Yfx9w2ZPhm/qaEmPMl4AHgS5jzADwp9baz4ZcVqN6AP/Wgc8bYyod6A9Ya78VYk2Nqgf4\nXHBdSRT4O2vtUyHXtJXo7lvrtwP4ujEG/L/vX7DWfifckhre7wBfCKYc9QHvD7mehhaE5aP4d46S\ndbLW/iQYUX4af6rRs8Anwq2qoX3FGNOFf/OA37LWzoRdUCOp6a9vq/TXgQ8B1hjz6wS3BL7cz9HD\nE0VEREREJFSaviUiIiIiIqFSKBERERERkVAplIiIiIiISKgUSkREREREJFQKJSIiIiIiEiqFEhER\nERERCZVCiYiIiIiIhEqhREREREREQqVQIiIiIiIioYqFXYCIiFxfjDH9wF8C7wVuAr4FvM9amwuz\nLhERCY9GSkRE5ForA+8C3gLsA14F/GqYBYmISLg0UiIiImH4uLX2PIAx5h+BIyHXIyIiIdJIiYiI\nhOF8zXoGaAmrEBERCZ9CiYiIhK0cdgEiIhIuhRIREQlbJOwCREQkXAolIiIStjIaLRERua5FymV9\nD4iIiIiISHg0UiIiIiIiIqFSKBERERERkVAplIiIiIiISKgUSkREREREJFQKJSIiIiIiEiqFEhER\nERERCZVCiYiIiIiIhEqhREREREREQqVQIiIiIiIiofp/XZP9o+YbilkAAAAASUVORK5CYII=\n",
-      "text/plain": [
-       "<matplotlib.figure.Figure at 0x10a777950>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "from math import log\n",
-    "import numpy as np\n",
-    "import matplotlib.pyplot as plt\n",
-    "%matplotlib inline\n",
-    "plt.style.use('bmh')\n",
-    "\n",
-    "# Set up runtime comparisons\n",
-    "n = np.linspace(1,10,1000)\n",
-    "labels = ['Constant','Logarithmic','Linear','Log Linear','Quadratic','Cubic','Exponential']\n",
-    "big_o = [np.ones(n.shape),np.log(n),n,n*np.log(n),n**2,n**3,2**n]\n",
-    "\n",
-    "# Plot setup\n",
-    "plt.figure(figsize=(12,10))\n",
-    "plt.ylim(0,50)\n",
-    "\n",
-    "for i in range(len(big_o)):\n",
-    "    plt.plot(n,big_o[i],label = labels[i])\n",
-    "\n",
-    "\n",
-    "plt.legend(loc=0)\n",
-    "plt.ylabel('Relative Runtime')\n",
-    "plt.xlabel('n')"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Note how much of a difference a Big-O efficiency can make for the same n value against the projected runtime! Clearly we want to choose algorithms that stay away from any exponential, quadratic, or cubic behavior!\n",
-    "\n",
-    "In the next lecture we will learn how to properly denote Big-O and look at examples of various problems and calculate the Big-O of them!"
-   ]
-  }
- ],
- "metadata": {
-  "anaconda-cloud": {},
-  "kernelspec": {
-   "display_name": "Python [conda env:python3]",
-   "language": "python",
-   "name": "conda-env-python3-py"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.5.1"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 0
-}
diff --git a/Graphs/Graph Interview Questions/.ipynb_checkpoints/Implement a Graph-checkpoint.ipynb b/Graphs/Graph Interview Questions/.ipynb_checkpoints/Implement a Graph-checkpoint.ipynb
deleted file mode 100644
index b6362791..00000000
--- a/Graphs/Graph Interview Questions/.ipynb_checkpoints/Implement a Graph-checkpoint.ipynb	
+++ /dev/null
@@ -1,45 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Implement a Graph Class!\n",
-    "\n",
-    "That's it! \n",
-    "\n",
-    "Best of luck and reference the video lecture for any questions!\n",
-    "\n",
-    "You have to fully worked out implementations in the lectures, so make sure to refer to them!"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Good Luck!"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 2",
-   "language": "python",
-   "name": "python2"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 2
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.11"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 0
-}
diff --git a/Graphs/Graph Interview Questions/Implement Depth First Search Algorithm.ipynb b/Graphs/Graph Interview Questions/Implement Depth First Search Algorithm.ipynb
deleted file mode 100644
index 94da601e..00000000
--- a/Graphs/Graph Interview Questions/Implement Depth First Search Algorithm.ipynb	
+++ /dev/null
@@ -1,62 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Implement a Depth First Search Algorithm"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "For this problem, implement a DFS Algorithm! You can assume that the graph is in the simplified form:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 8,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "graph = {'A': set(['B', 'C']),\n",
-    "         'B': set(['A', 'D', 'E']),\n",
-    "         'C': set(['A', 'F']),\n",
-    "         'D': set(['B']),\n",
-    "         'E': set(['B', 'F']),\n",
-    "         'F': set(['C', 'E'])}"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Good Luck!"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 2",
-   "language": "python",
-   "name": "python2"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 2
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.11"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 0
-}
diff --git a/Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems /Linked List Reversal .ipynb b/Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems /Linked List Reversal .ipynb
deleted file mode 100644
index d6d333eb..00000000
--- a/Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems /Linked List Reversal .ipynb	
+++ /dev/null
@@ -1,244 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Linked List Reversal \n",
-    "\n",
-    "## Problem\n",
-    "\n",
-    "Write a function to reverse a Linked List in place. The function will take in the head of the list as input and return the new head of the list.\n",
-    "\n",
-    "You are given the example Linked List Node class:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 10,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "class Node(object):\n",
-    "    \n",
-    "    def __init__(self,value):\n",
-    "        \n",
-    "        self.value = value\n",
-    "        self.nextnode = None"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Solution\n",
-    "\n",
-    "Fill out your solution below:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 14,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "def reverse(head):\n",
-    "    \n",
-    "    pass"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Test Your Solution\n",
-    "\n",
-    "**Note, this isn't a classic run cell for testing your solution, please read the statements below carefully**\n",
-    "\n",
-    "You should be able to easily test your own solution to make sure it works. Given the short list a,b,c,d with values 1,2,3,4. Check the effect of your reverse function and make sure the results match the logic here below:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 43,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "# Create a list of 4 nodes\n",
-    "a = Node(1)\n",
-    "b = Node(2)\n",
-    "c = Node(3)\n",
-    "d = Node(4)\n",
-    "\n",
-    "# Set up order a,b,c,d with values 1,2,3,4\n",
-    "a.nextnode = b\n",
-    "b.nextnode = c\n",
-    "c.nextnode = d"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Now let's check the values of the nodes coming after a, b and c:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 44,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "2\n",
-      "3\n",
-      "4\n"
-     ]
-    }
-   ],
-   "source": [
-    "print a.nextnode.value\n",
-    "print b.nextnode.value\n",
-    "print c.nextnode.value"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 45,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "ename": "AttributeError",
-     "evalue": "'NoneType' object has no attribute 'value'",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
-      "\u001b[0;32m<ipython-input-45-be675f4ae643>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0md\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mnextnode\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mvalue\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
-      "\u001b[0;31mAttributeError\u001b[0m: 'NoneType' object has no attribute 'value'"
-     ]
-    }
-   ],
-   "source": [
-    "d.nextnode.value"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "So far so good. Note how there is no value proceeding the last node, this makes sense! Now let's reverse the linked list, we should see the opposite order of values!"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 46,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<__main__.Node at 0x104bd7dd0>"
-      ]
-     },
-     "execution_count": 46,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "reverse(a)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 49,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3\n",
-      "2\n",
-      "1\n"
-     ]
-    }
-   ],
-   "source": [
-    "print d.nextnode.value\n",
-    "print c.nextnode.value\n",
-    "print b.nextnode.value"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 50,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "ename": "AttributeError",
-     "evalue": "'NoneType' object has no attribute 'value'",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
-      "\u001b[0;32m<ipython-input-50-4057c9bc3c14>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0;32mprint\u001b[0m \u001b[0ma\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mnextnode\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mvalue\u001b[0m \u001b[0;31m# This will give an error since it now points to None\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
-      "\u001b[0;31mAttributeError\u001b[0m: 'NoneType' object has no attribute 'value'"
-     ]
-    }
-   ],
-   "source": [
-    "print a.nextnode.value # This will give an error since it now points to None"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Great, now we can see that each of the values points to its previous value (although now that the linked list is reversed we can see the ordering has also reversed)\n",
-    "\n",
-    "## Good Job!"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 2",
-   "language": "python",
-   "name": "python2"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 2
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.11"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 0
-}
diff --git a/Riddles/Riddle Interview Problems/Riddle Interview Problems - SOLUTIONS/.ipynb_checkpoints/Jugs of Water - SOLUTION-checkpoint.ipynb b/Riddles/Riddle Interview Problems/Riddle Interview Problems - SOLUTIONS/.ipynb_checkpoints/Jugs of Water - SOLUTION-checkpoint.ipynb
deleted file mode 100644
index 6bad4853..00000000
--- a/Riddles/Riddle Interview Problems/Riddle Interview Problems - SOLUTIONS/.ipynb_checkpoints/Jugs of Water - SOLUTION-checkpoint.ipynb	
+++ /dev/null
@@ -1,113 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Jugs of Water - SOLUTION\n",
-    "## Problem Statement\n",
-    "\n",
-    "You have a five gallons jug and a three gallons jug, and an unlimited supply of water (but no measuring cups) How would you come up with exactly four gallons of water?\n",
-    "\n",
-    "## Solution\n",
-    "\n",
-    "This problem has a cameo in the movie Die Hard 3. The solution is below:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<img src=\"http://mindyourdecisions.com/blog/wp-content/uploads/2013/02/water-jug-riddle-1.png/"/>"
-      ],
-      "text/plain": [
-       "<IPython.core.display.Image object>"
-      ]
-     },
-     "execution_count": 3,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "from IPython.display import Image\n",
-    "Image(url='http://mindyourdecisions.com/blog/wp-content/uploads/2013/02/water-jug-riddle-1.png')"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Hopefully your interviews are not as stressful as this:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "\n",
-       "        <iframe\n",
-       "            width=\"400\"\n",
-       "            height=\"300\"\n",
-       "            src=\"https://www.youtube.com/embed/BVtQNK_ZUJg/"\n",
-       "            frameborder=\"0\"\n",
-       "            allowfullscreen\n",
-       "        ></iframe>\n",
-       "        "
-      ],
-      "text/plain": [
-       "<IPython.lib.display.YouTubeVideo at 0x104bcde90>"
-      ]
-     },
-     "execution_count": 5,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "from IPython.display import YouTubeVideo\n",
-    "YouTubeVideo('BVtQNK_ZUJg')"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Yippee Ki Yay"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 2",
-   "language": "python",
-   "name": "python2"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 2
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.11"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 0
-}
diff --git a/Riddles/Riddle Interview Problems/Riddle Interview Problems - SOLUTIONS/Jugs of Water - SOLUTION.ipynb b/Riddles/Riddle Interview Problems/Riddle Interview Problems - SOLUTIONS/Jugs of Water - SOLUTION.ipynb
deleted file mode 100644
index 6bad4853..00000000
--- a/Riddles/Riddle Interview Problems/Riddle Interview Problems - SOLUTIONS/Jugs of Water - SOLUTION.ipynb	
+++ /dev/null
@@ -1,113 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Jugs of Water - SOLUTION\n",
-    "## Problem Statement\n",
-    "\n",
-    "You have a five gallons jug and a three gallons jug, and an unlimited supply of water (but no measuring cups) How would you come up with exactly four gallons of water?\n",
-    "\n",
-    "## Solution\n",
-    "\n",
-    "This problem has a cameo in the movie Die Hard 3. The solution is below:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<img src=\"http://mindyourdecisions.com/blog/wp-content/uploads/2013/02/water-jug-riddle-1.png/"/>"
-      ],
-      "text/plain": [
-       "<IPython.core.display.Image object>"
-      ]
-     },
-     "execution_count": 3,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "from IPython.display import Image\n",
-    "Image(url='http://mindyourdecisions.com/blog/wp-content/uploads/2013/02/water-jug-riddle-1.png')"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Hopefully your interviews are not as stressful as this:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "\n",
-       "        <iframe\n",
-       "            width=\"400\"\n",
-       "            height=\"300\"\n",
-       "            src=\"https://www.youtube.com/embed/BVtQNK_ZUJg/"\n",
-       "            frameborder=\"0\"\n",
-       "            allowfullscreen\n",
-       "        ></iframe>\n",
-       "        "
-      ],
-      "text/plain": [
-       "<IPython.lib.display.YouTubeVideo at 0x104bcde90>"
-      ]
-     },
-     "execution_count": 5,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "from IPython.display import YouTubeVideo\n",
-    "YouTubeVideo('BVtQNK_ZUJg')"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Yippee Ki Yay"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 2",
-   "language": "python",
-   "name": "python2"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 2
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.11"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 0
-}
diff --git a/Stacks, Queues and Deques/.ipynb_checkpoints/Deques Overview-checkpoint.ipynb b/Stacks, Queues and Deques/.ipynb_checkpoints/Deques Overview-checkpoint.ipynb
deleted file mode 100644
index 413f2635..00000000
--- a/Stacks, Queues and Deques/.ipynb_checkpoints/Deques Overview-checkpoint.ipynb	
+++ /dev/null
@@ -1,69 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Deques Overview\n",
-    "\n",
-    "A deque, also known as a double-ended queue, is an ordered collection of items similar to the queue. It has two ends, a front and a rear, and the items remain positioned in the collection. What makes a deque different is the unrestrictive nature of adding and removing items. New items can be added at either the front or the rear. Likewise, existing items can be removed from either end. In a sense, this hybrid linear structure provides all the capabilities of stacks and queues in a single data structure. \n",
-    "\n",
-    "It is important to note that even though the deque can assume many of the characteristics of stacks and queues, it does not require the LIFO and FIFO orderings that are enforced by those data structures. It is up to you to make consistent use of the addition and removal operations.\n",
-    "\n",
-    "Let's see an Image to visualize the Deque Data Structure:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAATQAAAD1CAYAAADeQgk6AAAAAXNSR0IArs4c6QAAAARnQU1BAACx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\nFBgMaEQUGAxoRBQYDGhEFBAi/w/W56D6Uw33tQAAAABJRU5ErkJggg==\n",
-      "text/plain": [
-       "<IPython.core.display.Image object>"
-      ]
-     },
-     "execution_count": 1,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "from IPython.display import Image\n",
-    "Image('http://www.codeproject.com/KB/recipes/669131/deque.png')"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Note how we can both add and remove from the front and the back of the Deque. In the next lecture, we will implement our own Deque class!"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 2",
-   "language": "python",
-   "name": "python2"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 2
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 0
-}
diff --git a/Stacks, Queues and Deques/.ipynb_checkpoints/Queues Overview-checkpoint.ipynb b/Stacks, Queues and Deques/.ipynb_checkpoints/Queues Overview-checkpoint.ipynb
deleted file mode 100644
index be7a713a..00000000
--- a/Stacks, Queues and Deques/.ipynb_checkpoints/Queues Overview-checkpoint.ipynb	
+++ /dev/null
@@ -1,115 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Queues Overview\n",
-    "\n",
-    "In this lecture we will get an overview of what a Queue is, in the next lecture we will implement our own Queue class."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "____\n",
-    "A **queue** is an ordered collection of items where the addition of new items happens at one end, called the “rear,” and the removal of existing items occurs at the other end, commonly called the “front.” As an element enters the queue it starts at the rear and makes its way toward the front, waiting until that time when it is the next element to be removed.\n",
-    "\n",
-    "The most recently added item in the queue must wait at the end of the collection. The item that has been in the collection the longest is at the front. This ordering principle is sometimes called **FIFO, first-in first-out**. It is also known as “first-come first-served.”\n",
-    "\n",
-    "The simplest example of a queue is the typical line that we all participate in from time to time. We wait in a line for a movie, we wait in the check-out line at a grocery store, and we wait in the cafeteria line. The first person in that line is also the first person to get serviced/helped. \n",
-    "\n",
-    "Let's see a diagram which shows this and compares it to the Stack Data Structure:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAABiYAAAQrCAMAAAFIgNSEAAAAAXNSR0IArs4c6QAAAARnQU1BAACx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\n/zJo8CiYEQ8fNv5888MbKncC/j/NTDKNxmc3QQAAAABJRU5ErkJggg==\n",
-      "text/plain": [
-       "<IPython.core.display.Image object>"
-      ]
-     },
-     "execution_count": 6,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "from IPython.display import Image\n",
-    "url = 'https://netmatze.files.wordpress.com/2014/08/queue.png'\n",
-    "Image(url)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Note how we have two terms here, **Enqueue** and **Dequeue**. The enqueue term describes when we add a new item to the rear of the queue. The dequeue term describes removing the front item from the queue.\n",
-    "\n",
-    "Let's take a look at how pop and push methods would work with a Queue (versus that of a Stack):"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "image/jpeg": "/9j/4AAQSkZJRgABAQEASABIAAD/2wBDAAUDBAQEAwUEBAQFBQUGBwwIBwcHBw8LCwkMEQ8SEhEP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\n",
-      "text/plain": [
-       "<IPython.core.display.Image object>"
-      ]
-     },
-     "execution_count": 7,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "url2 = 'http://www.csit.parkland.edu/~mbrandyberry/CS2Java/Lessons/Stack_Queue/images/QueuePushPop.jpg'\n",
-    "Image(url2)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Conclusion\n",
-    "\n",
-    "You should now have a basic understanding of Queues and the FIFO principal for them. In the next lecture we will implement our own Queue class!"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 2",
-   "language": "python",
-   "name": "python2"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 2
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 0
-}
diff --git a/Stacks, Queues and Deques/.ipynb_checkpoints/Stacks Overview-checkpoint.ipynb b/Stacks, Queues and Deques/.ipynb_checkpoints/Stacks Overview-checkpoint.ipynb
deleted file mode 100644
index 8089314d..00000000
--- a/Stacks, Queues and Deques/.ipynb_checkpoints/Stacks Overview-checkpoint.ipynb	
+++ /dev/null
@@ -1,94 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Stacks Overview\n",
-    "\n",
-    "**Please see the lecture video for the full Overview on Stacks!**"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "____\n",
-    "\n",
-    "A stack is an ordered collection of items where the addition of new items and the removal of existing items always takes place at the same end. This end is commonly referred to as the “top.” The end opposite the top is known as the “base.” \n",
-    "\n",
-    "The base of the stack is significant since items stored in the stack that are closer to the base represent those that have been in the stack the longest. The most recently added item is the one that is in position to be removed first. \n",
-    "\n",
-    "**This ordering principle is sometimes called LIFO, last-in first-out.** It provides an ordering based on length of time in the collection. Newer items are near the top, while older items are near the base.\n",
-    "\n",
-    "For example, consider the figure below:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAwUAAAIcCAIAAAAoqZXJAAAAAXNSR0IArs4c6QAAAARnQU1BAACx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\ng4T9QwAAAGDokIcAAADAsLVp8/8ByU1hKXYrNEgAAAAASUVORK5CYII=\n",
-      "text/plain": [
-       "<IPython.core.display.Image object>"
-      ]
-     },
-     "execution_count": 2,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "from IPython.display import Image\n",
-    "url ='https://upload.wikimedia.org/wikipedia/commons/b/b4/Lifo_stack.png'\n",
-    "\n",
-    "Image(url)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Note how the first items \"pushed\" to the stack begin at the base, and as items are \"popped\" out. Stacks are fundamentally important, as they can be used to reverse the order of items. The order of insertion is the reverse of the order of removal.\n",
-    "\n",
-    "Considering this reversal property, you can perhaps think of examples of stacks that occur as you use your computer. For example, every web browser has a Back button. As you navigate from web page to web page, those pages are placed on a stack (actually it is the URLs that are going on the stack). The current page that you are viewing is on the top and the first page you looked at is at the base. If you click on the Back button, you begin to move in reverse order through the pages.\n",
-    "\n",
-    "In the next lecture we will implement our own Stack class!"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Extra Resources:\n",
-    "[Wikipedia Page on Stacks](http://bit.ly/1OJybGQ)"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 2",
-   "language": "python",
-   "name": "python2"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 2
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 0
-}
diff --git a/Stacks, Queues and Deques/Deques Overview.ipynb b/Stacks, Queues and Deques/Deques Overview.ipynb
deleted file mode 100644
index 413f2635..00000000
--- a/Stacks, Queues and Deques/Deques Overview.ipynb	
+++ /dev/null
@@ -1,69 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Deques Overview\n",
-    "\n",
-    "A deque, also known as a double-ended queue, is an ordered collection of items similar to the queue. It has two ends, a front and a rear, and the items remain positioned in the collection. What makes a deque different is the unrestrictive nature of adding and removing items. New items can be added at either the front or the rear. Likewise, existing items can be removed from either end. In a sense, this hybrid linear structure provides all the capabilities of stacks and queues in a single data structure. \n",
-    "\n",
-    "It is important to note that even though the deque can assume many of the characteristics of stacks and queues, it does not require the LIFO and FIFO orderings that are enforced by those data structures. It is up to you to make consistent use of the addition and removal operations.\n",
-    "\n",
-    "Let's see an Image to visualize the Deque Data Structure:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAATQAAAD1CAYAAADeQgk6AAAAAXNSR0IArs4c6QAAAARnQU1BAACx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\nFBgMaEQUGAxoRBQYDGhEFBAi/w/W56D6Uw33tQAAAABJRU5ErkJggg==\n",
-      "text/plain": [
-       "<IPython.core.display.Image object>"
-      ]
-     },
-     "execution_count": 1,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "from IPython.display import Image\n",
-    "Image('http://www.codeproject.com/KB/recipes/669131/deque.png')"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Note how we can both add and remove from the front and the back of the Deque. In the next lecture, we will implement our own Deque class!"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 2",
-   "language": "python",
-   "name": "python2"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 2
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 0
-}
diff --git a/Stacks, Queues and Deques/Queues Overview.ipynb b/Stacks, Queues and Deques/Queues Overview.ipynb
deleted file mode 100644
index be7a713a..00000000
--- a/Stacks, Queues and Deques/Queues Overview.ipynb	
+++ /dev/null
@@ -1,115 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Queues Overview\n",
-    "\n",
-    "In this lecture we will get an overview of what a Queue is, in the next lecture we will implement our own Queue class."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "____\n",
-    "A **queue** is an ordered collection of items where the addition of new items happens at one end, called the “rear,” and the removal of existing items occurs at the other end, commonly called the “front.” As an element enters the queue it starts at the rear and makes its way toward the front, waiting until that time when it is the next element to be removed.\n",
-    "\n",
-    "The most recently added item in the queue must wait at the end of the collection. The item that has been in the collection the longest is at the front. This ordering principle is sometimes called **FIFO, first-in first-out**. It is also known as “first-come first-served.”\n",
-    "\n",
-    "The simplest example of a queue is the typical line that we all participate in from time to time. We wait in a line for a movie, we wait in the check-out line at a grocery store, and we wait in the cafeteria line. The first person in that line is also the first person to get serviced/helped. \n",
-    "\n",
-    "Let's see a diagram which shows this and compares it to the Stack Data Structure:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAABiYAAAQrCAMAAAFIgNSEAAAAAXNSR0IArs4c6QAAAARnQU1BAACx\njwv8YQUAAAE4UExURQAAAEFwnUl9rEFxnEV3pUJynUJyngAAAEFvmgAAAAAAAD9wmgAAAAAAAD9v\nnwAAAEBymwAAAD9wmz9/nwAAAAAAAD9vnwAAAFiX0AAAAFWSyFmY0gAAAFaTylKNwU6HulKNwz9v\nmgAAAE+IuwAAAD9xm0JynAAAAENzngAAAE2Etj90nwAAAD9vm0p/rk6Ft0p/sEZ5pwAAAD9vmz9x\nnEN0n0d6qQAAAER1oUFxmgAAAAAAAD9vnAAAAEFvmwAAAAAAAEFxnAAAAD9ymT9vnAAAAAAAAEFv\nnAAAAEFxnD9vmgAAAAAAAEFvnFqa0wAAAEFxm0BxnVub1VeVzFOPxViWzgAAAFCKvVSQx0N0n0Jx\nnEFvnEFxmz9wnFGLwEFxmk6GuEuBskFvmkh8qkyCtER2pD9wmz9wnCPP8ZcAAABodFJOUwCf////\n//8I9xAYaIcgEI+PKHgIlzAgn/84//+n/////zBA/69I/kj+t/8YUED/////v/BY//9Y/6/HYFDP\np2jXv3AoYN94t+fPcIDvx//335f//////////ofXgOj/7///5/////j4bCHutwAAAAlwSFlzAAAX\nEQAAFxEByibzPwAAT/VJREFUeNrt3Q1/49S57mFTASYhIYRJJqQTYDDpmZOSUup2miEmnSFsh4Az\nGKZFZw7DgUJh7+//DY7fLdnya/wi2df/BxNblmWt9ax73XqWlqRcDgCAmfB60OaH7BbiWZThq4Y1\nyhkoxWfDC9H+J+WlCIaWov1v/cXeWadI1dZnV+F5+ktxEytFvWnVX5613tb+O85dhqkvRdhbirAU\nedv5k7lSNOiWovkuU7qolyKyPFxiHCYsxUn9n2rr/3LucdgpRZidUnSaUP1FqdxpQ/V/Wksz0KKa\nPEmlYUxaigx4t1IohVIohVIohVIohVIohVIohVIohVIohVJkuRSFLJeiPMtSlJdViuaYa+2fwvaU\nW26O39a2sLe8UpTbA+GFy6m33SpFYamx2L2p78hh7halaAymH87/rECsFG9ltY/6aPzz3Rnkfk87\nC7rvf62/fz1S+Dv1BV+P+EIaOuAg+v5ern/OwsgvLL0Uz/rf/zS0FAlfSGUpgjSWIlyJUvQVI5ul\nyIerUIrGqfjsl6KnTWW1FPFiZLYUMWlkthQxaWS3FNE2leFSRIqR5VJ0i5HtUoSrUIpmopz5UuTD\ncC+9pRhzNlxnIubcS1GYZn7e9oTFnX8pclNMmNzuNPowd9H89kHzXZjr/I30UwspRa5Y+7Fq48cb\nv1+pv3x81L9LvbEodqe+RktxsJDjqLC3FOV8t26bpTiJvs+NW4pWqcuLyfXCeCmuW4PA5W4pjju7\nNE4pamtFS7GgXK8URkux0f7dsKb13OMHue772n+nD/pLUalU2l9uFPMszO3XLjpozObdPco1puwv\n4Mg88iutHQov2o3q4rzju2GttmudfmmysYLFjYGE0+9SmkZyFjo1em6lOA1XoRS9Aszq2GC4EqVY\nYDHmWYpCuAqlyIXFlRgzX9RVM0oxukXVuMx+LBYVjLlnSatRCuf1pitF7cTve0P3epwvLLsY9+vv\nv+7Zp2gwfqq9vxt5/27SF1aMN1ZizsYKzvF7phRKoRRKoRRKoRRKoRRKoRRKoRRKoRRKoRRKoRRK\noRRKoRRKoRRKoRRKoRRjl+KXrJYi92p81gIAAAvjl84zerJbhq8mmDi2zIcqzOzQrF6C3TDjpQhP\nm/HoPgFmP2y/uml/lP5SNP49iz4IJvZUmzAtD7cZoxT9D+WJliDMYiz6HtGTlVKE173tJ3WP6Bla\niqv6fm629rkcKcVmRyVZ6GmvI4/o2Ys8lCfyp5SVVD6VxmdYRSmUQimUQimUQimUQimUQimUQimU\nQimUQilSVYpilktRaA/DTl2Knvs8LqcU4VlzR4rTjmjWhkKvm6XZWl4p2tU5fSk6f4tLK0Uu3MjV\n7hocXp5Me2ai8bUn9XtTnsz95MZq9FGxYvwht2L8tTdCkfdv1t9HnlD0Sv19MOoLS+DDUTdaeif6\n/lEu99qoLyyDYNTtoXr19PaoL2SiFM/SUIpwNUpRXYVS9AYjo6XoKUZWSxF/YFJWSxGXRmZLEWtT\n2S1FtBgZLkVEGhkuRUQaWS5Ft01luhSdYmS7FLVHIISrUIowxaUIJ3hGz2JKMc2Mz7G/UFlYKXKT\nz/sMW+NckWeptB++Uu4+qKdZjuoCS1Her/3zoPugoI1y/fEq7bHJMLEU7YfGdJ/Okyv1lWJ+fdRl\n2FeKyNN52i+LU5SiG4sFHJmHBwmlyPWUItctRW5gKbbPuy3qqLk0XFQpoj8T5uKP5Gk+qKc1gToX\nJpaiUn9GT7ExAv648YynxlNwcmGl8Z3a00FOFpMlhZE9aoze7jQufCg296O2Sw/C3UbTy4+euXuw\ntDGQ0oA9q2RrJGeRT4WZY08brkQpFlmMOZZicU+Fmat3L04acz0CCVeiFPVibGS/FIcLug5rvqU4\nW4lShCtRikVd3ZTx0QOlSF0pXprokTz3RxU7tyQe9kxJeNFbs707GX2y0J+SvrBivBsp3zdZLcSL\nlZg/EyiFUiiFUiiFUiiFUiiFUiiFUiiFUiiFUiiFUiiFUiiFUiiFUiiFUiiFUijF+KxGKT7tluHX\nHAAAAABkhW9//yyR20633q8UK2p3Ej56NpBbbLV+KU+lUEzvI+7SyOBITK+LSADOxGKZodiMVn8r\nLO1FYVjuyKbGTS7+YS764b5Q3DYU8V4pKRT7rbfbvR82/60mbEYo5hOKzgrJocjFRSIUU4dia2QH\nFYaFFrtJoWh/qIOapW2ftl72huI41yecPlWw7RlkFnXTfdywhHa9HofhSX35TdO2a8vz0coPt+tm\n3wlb81ZG4YFQzCLJe1Cv2dPIzQIKYf0BtbnibjT1aK+9F4ZbtbsrtZ8xUL/bQ1igiplf3iy1SE0o\nIBRCAaEQCgiFUEAohAJCIRRCIRRCIRRCAaEQCgiFUEAohAJCIRQQCqFAqkJR6LuSqLjwaXzJFzNt\nn6xbKMrN51s2aqPx4KlaKGpTXhcaisY/V7VZuM3d6Py7hqE4bhW8Ufbi+aKroP3I0+b/jeecFoqN\nPVu/UFy2n/16mLtqqGJJoahetJ9CWwtFLlyzUGBuBAMjcV/lLDwYPybE4V5wR81kVER/b63w3aAV\nnjY//3bQ51+3Yv9w0Ap/GfMX1r47e/bBKOt5qf75V89G3D3h48GfvzfWLwhFqyZHHQXcZgPj/cKq\nsCEUKaE8KmEVikUO7+wKRUp4MlQYQrFgYRwKRUq4GCwMoUiNMIRi4ZwPEIZQpEYYQrEMiknCEIpl\nCaMgFKkVhlAsVxj5UChSwHEYm+kiFON3KU1mme3FYrEKoahX0AJu0T3rCUmV1QtFoVGYjblPmuqG\nImxM1Dpo9fi1H268bt0n8aC9tDmNpXVnxc7CfF84DlctFLncddj8t0apldXWa6lTE5XGvw/a94hu\nfa15UBmOcbP1bhtu/XuZyx00Xl31hGKn8XIzjIeiefPpsK+Hq2QvFE9GhKJR4PCi86pba5FQdJdG\nQnHTeHkZjq+KdqWGESl0X7Z6nvo9SLuhaC9cheHAQaXohqKSK3XL27zzbaUvFO3PI6FoL8zfLhT7\n3VBEdron9CtyviI5FoXo/YW7SWxz5Z0w6WWd7WgoxssD2o26G4rmwqNmKOqcNF5WO6vud7/1YLgo\nMuYViSUpxITffF1pv6p0DTMX9lRow1UasRvRdYyO0izuZZw12560vioLmXe7lqGYdKZ/JTtToDN4\nMLuq937OYl6xoo8kyWaKt5KxyGi2vYrCyOzAx+rFIrtjUCsnjCwPBzYvqT0XihSMzFbDVXp6ZYZD\nEd52uEIoZqeK1YpF5k8dCYUZH0KxlqH456iK+rL++UujavrH2/7C2vDywHpoXnb9j1FNdnAwXzRX\neHt4qEb/wvpwN0jgh8gKXyR8/iK6hacJK3wW+fz1pF/4apJf6OfLpG26icnieXegkt5XOWlxuLfV\nTrqO+yAUQiEUQiEUQiEUEAqhgFAIBYRCKCAUQgGhEAoIhVAIhVAIhVAIBYRCKCAUQgGhEAoIhVBA\nKIQCQiEUEAqhEAqhEAqhSH0oflY7i+WvboAAAAAAAAAAAACQzCcJNz9269vFM+Dk4s9v3HK7pWKx\npHYn4JW53IW4tGoPr5k/38/l0Q/1GBRPK/U/p+r4Vn1TnXem3uh1GF52QqKObx2JZ7eQxFZEHSp5\naZGoRmr/sPn6LNxrR6b1wXktRlfNl+Uw3/qwHOnddkXi1pEIw2r0zUajssNYJB5HDT0MC42/hc77\ndXT7+URiN/rmvD8SG2G42e26eiJx3V4aisStIxE/jOqPRDtWYbjfH4ke+YjEfCPRfHfReBGPxE53\n1X2RmHMkrtrvSgmRCMOD9qoHIjHTSJz0ReI87JIQiQ4nInHbSBz0hqUvEoUWuSRNRD8UiVtFoiuK\n06RIVOJmHIalWCQuZHYzisRppKJbUTlIduzogW4ud9lYfLKmWfmcRjvC3lfdpK3fjFs5+W6YFCaR\nuE0k8i0rrh2kxoYCd9qZc60fuq7/3YvEpxp2ItH80rV8YgbXA0YOgJojH5utI6VWg9+JjWiU4x+G\nazncMbcrM5/UT1HUW31bFrVBjO1c7rjY+ryWU3QG/Nq9VnGn9ba4boewuUVcI+vMXVoi0RlixbIj\nAZEQCYiESEAkRAIiIRIQCZGASIiESIiESIiESEAkRAIiIRIQCZGASIgEREIkIBIiAZEQCZEQCZEQ\nCZGASIgEREIkIBIiAZEQCYiESEAkRAIiIRIQCZGYLBLuo7WcSPTfTG7hkRhwP7tw3SLRV+bFR2Il\ntTlNJErXtUd5FOu3vKw1zie1JbvhEiLRvK1pXR1hpft6LXunMLfTuP1umA+X0TuFHYHWn08Vrm3v\n9KDRDPPNillK71T7t3LQjERujSNxcFL/97r50IJF10EnEg+erHkkDmsxKOW2wlb5w9pTDJYTifr/\n1cdrG4nmffLDsBmTVjgOlxOJXONW2a1I5MMncmzMNRI/q52FMjgSv6ichfLXOTyUGVPx6atJcfj1\nJzWTSWP59c2Oxu6PUFjyBt7prPC3j5N/4a2xf2E9+G5QZ/Z0xBHA31sb+G1Ebzj4IfafjfkL636o\nda/x+YeDDwCaNf0/g1f4tLHCOwM/f3u8X1j7I61nL404KP6gsYGfR1TkV7f+BZEIxkoU7w3+/GH9\n859u/QsiMV493WYDIiESIrG2kdhoPZBRJJZOGO6KREpEEYpEOngyIhQiscD+qSoSWbAKkVgc+aH9\nk0ikxSpEIi1WIRILDsWhSKTdKkRisZwPDIVIpMUqRCItViESabEKkUiLVYhEWqxCJNJiFSKxnFCI\nRDooJoRCJJYkilAk0hKKgkik1CpEYkmcNEJRv6pQJFJgFVG7EIllhkIkRCLDkSgVG8w6ECsViUqt\ngirbi2nBM7ttwllre+HGCkUinHEljT9AMYvQnq9UJAZkremORK9RrEwkctXwwWIiEYabnRqsv7gu\nhZH20BpWCsPj2oty4+1249+NBOGuZiS62ojU0mYzf6okfB7997q+sDR2JMLTXKnx/iK8aKsxsrlK\neFWfZbYbj0T9o92+MxOrG4n4P1dhbyR6/mn+Ww7365oa07EjXxz1MhKJ5sIhP5KhSIRjROKm8fqy\ncUuiehvP90SidV+9WqOOVd3FaCeIaqJTp/XGnxCJzYGRKK1CJJq3oRoRibBzq6jrMCKUTiSqYc+q\n0fBMFIlGJTePQfs10dZPLBIjjvCypIlwnEg0yXdiEo9E2K2QbtWVxjkOTo5EITESnRyhTxNDyFAk\nSgMKk6CJ7tK+SPQd/OZyhXDCY6duJKqJkeiI96CxcH/VIjEoZWgtvanf2LO7xlE0Eh0fOEiKRK7v\nrM3YkQg7p0IbDnUSxis9Xz+W3WgdFaxQJAZYRbPgN40/p92kot1lJ7zsfn4TjtVeu/38YSwS+Ui3\n1nhR6b4My+1XG+E4wyXZOopNvv14kyc9B5vV+t9q4+VOd+lxT9WVI7VUGRaJ3UqD+iYaw4Cnxdbv\n7XRTy63cdnPpZS3fy7ekWbsZcnPhfhgOE1+2IpFoFWe1CuqWMN/J0Wol32zV0mZ9pK241Vh8EYZ7\n7RCW2hVai9XFkgdCMpbZTTy6tIj7Qa9lJHLN8RyRSMFox4TFzs7t+jMXidNwRR8Zk70RwHBFQ5HB\nsdhJrUIk5jYqvpqiyGIkVtMqMnmmaCWtIpvn7FbRKjJ69nQFRZHRSBRWLxRZnVGwelaR2bkdYVgU\niXTMslk1UWQ3Ei2ruBCJpc88q/ZMERCJpc0BrFlFKBKpmI3ZPscvEkvXRGPSgEgsORL5xVzBIhIj\nI1ERidT0ThWRSM31ExWRSEkkGrHYE4k0RCK36Keqi8TKIxIiIRIikblIfDminv7Z2MC7Iyr6pSG/\n8HSsX1gT3hvRIF8aUdHDKvLFqFiP9wtrwj9GVcPLA1e401xh4CNoP8qNCNW4v7AmvPh6RHt8mPz5\n/T+0Pv/8g+QVXm5vIHh2y19YG74I+nkR+fxuwufBD5EVXk9a4f3ICk8TPv9ykl/o58OkrwRv5rBg\nBunskapZLK8NtJZXVM5CeT74eOsNtZOSLOgbtZOmkQGIhEiIhEiIhEiIBERCJCASIgGREAmIhEhA\nJEQCIiESEAmRUDsiIRIiIRIQCZGASIgEREIkIBIiAZEQCYiESEAkRAIiIRIiIRIiIRIiAZEQCYiE\nSEAkRAIiIRIQCZGASIgEREIkIBIiIRIiIRIiIRIQCZGASIgEREIkIBIiAZEQCYiESEAkRAKpiMRb\nameRBAMDcV/lLJaPBkXiD+pm0ar4MSEM94I7agYAAAAAAAAAAAAAAAAAAAAAACBbvPHfwcf/+u7Z\nGDx/71HwiQrDivP00bPJeDv4cHl7exlGuNgQPsye4Nnk/PGz5exrmMC+EGL5knj27D9/W5oirrve\ncN5csimKWL4mnr228B09a7T/B/GFm42F58KI5Wti4Xfz2W+0/gHm8VgcsX6aGCCJng/KvWvV35f7\njKXFVs+Khcj7Qu+W9iJfrMrtaWLpmtiqN8WrpE+Oop+M0MROs0lXCoVKtZmcjKuJ5heLpcLpsSSG\nJlKhiYE2kduINvvhmggT2vlYmjiNu0pjPLik7dBESjUR+2ioJurWUO398HwMTWz0GsPp4L0BTWRH\nExt9m6hElgzTRPwoq72kovHQRDo1kR/32OkgTGRMTfRT1HhoYpmauE44ORHJsU/H0EQ5sWVXp9aE\nE+g0sVRN7N5+LPZoaBIQVVaSJg40FZpI2fmJxtjp8QBJbLffFYdoYndo517/8HKYT2gqNJEyTTQb\n5k3PwuYpuMv4gNCDHiWVx2naPR8eRt8/6BUMaCIVT2pqnmUL890lO2GY5Aud5ts68I+fn4idV9jo\nnAYsRTf1OJ5/t34otjdneW2HJpb/9LLkXDc8GrzOSSl2Hvu8k1kXe4adWgOzXfJJ57Hro03XrRcS\nDJpIxRP9NqqxhnuRO2m+2Os9nGqw0ez+Y/Od4hs46RvB6rT3XmfYiWumoOnQRFqfcrndbqXOoYEm\nemQhmKCJqC4uqoIJmgBoAqAJgCYAmgBoAqAJgCYAmgBoAqAJmgBN0ARogiZAEzQB0ARAEwBNADQB\n0ARAEwBNADQB0ARAEwBNADQB0ARAEwBN0ARogiZAEzQBmqAJgCYAmgBoAqAJgCYAmgBoAqAJgCYA\nmgBoAqAJgCYAmgBoAqAJmgBN3FYT+bBBcdg6xbCw6vUcttDiaCJXCMv1P9dhdc01McHKrTrDamui\n1SjyxXpn2VZAtfa60tHEg1XuRSNlq4a5qzDcqb3aqVfGQXvhZu3Nk4inaJyrrYnHLUk0GsBm801T\nG4+fNDWxEYbb6+ETteZ+VP973OwtquFxc2Gl8WeTT6yBJm4qlYMnsX6v8braPWCqaWK1FRHLJ1o1\ncdpu+I2itxYWGokXTazHsdN+qz2ExUql9TIf0cT1ijeDmE80/my1jppqncMuTaylJs7qUW9FvvHn\nKLyI5tibzcOG9dFEPvY3pondYQMSWAFNtDhpBDu8OKj932gAJ83l1+0cuxzerJMmGqPU9WPKm1yv\nJnJy7JXWBLAWmvjnl2oOq8pL77EJIMY/Xp5CEnfUG1aZFw+/nkQQ94M/qDOsPHe/CMbjxQ8Tb/vD\nL4OxeXMuG8i9Nf4Gvnk/aQNfjb+B4Pv5lAGrwhvBu5Mdlj36ZsYbyD19ZbINvBP0yOKTScch/veL\nWZcBq8Nr706erLzy/iw38OEUA2u/jw4h3JlmZO5/zbQMWKVM5flUg1pvzG4D040133vtlhuIjkLc\nvgxYIaZrT29/M7sNfPGvW56SnHID382wDKCJSIvM7AZmuQugCZqgCZqgCZrICE9CmqAJdLnsXixM\nEzSBBreexU8TNLFqlG5pFTRBE6yCJmiCVdAETbAKmqAJVlHjmCZoAre3CpqgCVZBEzTBKmiCJtaV\n0ymsgiZoglXQBE2wCpqgCVZBEzSBaa2CJmiCVdAETawhhfGtgiZoglXQBE2wCpqgCYxvFTRBE+tm\nFUWaoAlMZBU0QRPrbBUXGzRBE6i2raL2oN/wnCZoArnDhlW0HvZLEzSBtlU0OaQJmsBZGKFKEzSx\nkJGdDqnbvXwYjthDmkiDJnZjQdrPvCa2U7x7lV5NXNJEGjVRaHVX24W9Zpx2aWJxuqCJNGuiNWae\nymOOW2niJryu/fu4XrDrzegHjUXhaa07CMOzdv7bPcQ/DsNCd+WjxsrH+fb7qzC8ivzsdSRjuGmk\nCqWxdEET6ddE85C882bzvBG5vegK2+X2omp40VxUjBx0HcYmMDRuPx+WOwMsG7U3nQ9rG8oP/amZ\naKK+rNsxnyakHqXOvSyjZY/c4bJR4uJBY+WTzqJOQba7X2v80vXB+eh8ppJYXJpIoyb2uw2nEbXi\nSawtlSO5R+ebtReVaKy7fWkYXmyVIw2k0NPqCrnBPzWdJnYqLfajm26+3Km92ugsvY7IdqgmIvtU\nbQ8WJWviuLuBzdrLzdHHUTSxCE1s3E4T9RZQbgc139s+uu1rI9LWkjURdpvNZXthsiYSf+q2407V\n3JB2HhsIHaGJWC7cdqJETWxHv38wzVEoTcxeExuJo96TaiJs/d2ILqz/2YquXBmuiZ2eBlYcrImk\nn5rlsVP0aK3Ya1HjaCJGZaAmyiPHWmliCT5RnnToKEkTxdbyGNvxrn+kJsKkBpKoicSfmrsmtifQ\nRDHC1uBjp3qHFF11myZScey0EU5mFb2aOG112qWeplCKdvdjaqIc+f5JfqAmEn9q7pq4nEAT/SlO\nMbJqRxPHtx60o4n55NhPJrKKhHGn67a2+lauDjx2OkjSxE3fBraTNLExs/HfsTURbdIXMU1cRBp9\nc+l50u6ddRfmY4lViSbSOO6Un8Qq4poodo+Oktp0/aT3g8gXw26r6g7Ftl7vxrKESAu9jAisMFg+\nU2rirNDmcIgmcu0rGTabU/JamngQNrP9jdjSSKXk9sIn3Q0cdc81RJKx1rmOwk1IEykai53AKupN\nu9GEKq0ZzPmoKRx1Th5cdRLnRksvJjaF2NLDSGpQai88acm1PpBb7SS6ST9123GniOASNNGd01KK\n2Vx76VW9sR9Eu4re6S+l1vub2E9sRtYs00Sazk+MbxXb0VZ0Ef/sOvJRvnNauMl59ExE7qS7gcjS\n08j3D6J71pwoXY4M/iT91ALPfh/k0gFNzPOc3ZPkCfoznrmTWwVoYl3OY+fDic9V0ARNrPjcjov5\nWsXKaOImYdI2TazofKf5WkVpVqNFoIkFzgE8n3tWAZrI2LzYuWcVoInMzRVnFTRBE6yCJmiCVdAE\nTUxW1ayCJmiilyKroAma6IFV0ARNJFlFQbujCZqIW0Wo4dEETbAKmqAJVkETNDE2J12ryKdnPiho\nYnma6FjFBcugCZpocZzmZzTQBE0sQRPRR4PsaYc0sfaauEj5w3xogiYWqomzvjtWbmiINLHuPtHz\nAKlzDZEm5BNxXWiINEETcV2YLEsTNBHXhbmyNEETPbrQEmmCJkATNAGaoAnQxDQb+Oa7qTbwamcD\nL/5JE1i6Jn5+a3Yb+NPLt2yQf/ptqg18/PrsyoC1F8X9X2a5gS//OI0k7nQ38Mk0G/hxpmXASvHX\njyZuj3+Y7QbuBvcm3MCf44ctH068gWfBn2ZbBqwWnwav/jhmS7j3a/DTndlvIPci+HjctOL+o+Cr\n/g18GXw07gbe/jn4ZQ6VAGAqVw7uj+9FvwZvqjGsePI28Rjb35+qNawuH06Tyt8z4osVdomphnw/\neEnNgSacGgRN0ARogiYAmgBoAqAJgCYAmgBoAqAJgCYAmgBoAqAJgCYAmgBoAqAJgCZoAjRBE6AJ\nmgBN0ARAEwBNADQB0ARAEwBNADQB0ARAEwBNADQB0ARAEwBNADRBE6AJmgBN0ARogiYAmgBoAqAJ\ngCYAmgBoAqAJgCYAmgBoAqAJgCYAmgBoAqAJgCZoAjRBE6AJmgBN0ARAEwBNADQB0ARAEwBNADQB\n0ARAEwBNADQB0ARAEwBNADRBE6AJmgBNDOefX6o5rCovvccmgBj/eHkKSdxRb1hlXjz8ehJB3A/+\noM6w8tz9IhiPFz+oLAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAKwyd3/4bJwH\nefz02VvqCuvA98Gr/34+ztOe3n7+axDcVWFYce4E/5nkKWhvB0+XvMOFynGxuFMpCB3mJYnfT/iw\nzL/8sry93TwJI1wJH+bAxJJ49uy3b5e1s9dhD2cCiFnz5kfZedL447CfGyHErG1iCkk8++CLZezq\nQVsGx5VCZetJ611VDDFTPn84jSaWYhRHTQ2UOgsOOQXmwLc/ZkUTmwmucN5YdimMmCFfvpMVTTRN\noWdhOWkhsPB0YhmaeJzc+htL98QRa6iJAUdJp4wCa6qJ/KC231i+GzmWquajH9+EYTn+havWeNX5\nbnTpWa/d7PWd/Ng/d6aQJlKkieN6YzxI+KAxQHsUVUh0zkehV0l7kVMb1Y2exKRXa+W+FL/FloZD\nE0vXRKMp5hM+2IgZyChN9Jzw2x9bE4+dKaSJNGpi9CcjNNFs0MVS4fS4+XJzTE3sNFevFAqVauPV\ntaZDE6ugicZsqePWm8vYF4drYiMmIBOtaCIFmtiuN8OLW2riNJ4KXEbPig/XRJhgN9oOTSxVE4VB\nKXar8x9LE73nwaNNe6gm9mNjWy2F7ms8NLFMTZQGj/Y0WvP2GJrYiCUQbd8YRxPV3kkljbFcjYcm\nlqmJSiPDTfyoGNXBME3s9B3xRLr7oZqITz2sceHgiSZSrImxfaJ/uCiy0WGa2OhTQIUmaCIVx04H\ngzWRG1MTB32aOBitias+BZRogiZSkWMf3W7cKUykOFoTB8nf1HhoYuljsdV5aOJktCbOaYImVvOc\nXXLLHiPHLid+0TWvNJFSTWz2nVwbmk8UekjMSpJ8oveLu9oOTaRAE0mnyY5j11XU35yOnWMPytR7\nNHHkSIkmUqiJ80g+3C+WfPRdaYgmLqbRhJFXmkijJjYHHDz1XGfXezFeXz4xaPvFIZrYNZWDJlJ7\n7elx8uLT2NvopIvLSFM/GaaJg1HnsY+1FZpImSZ2wp6JeJEhoYGp+GH0/YNh971p+M2D7vtqryYc\nPNFESu9lk+8/4oke1lRj8/x2w76B2nDY5qs9Wmtr4vHQ9Bw0sSRN7PddCt28b0HsqKYUbfePe06u\n7fSL4iyWnXdcpPXF+PUTsVmAG25UQBPLvzdm+y7755uxFh8muEl9SuBmtW+FMH5DnMJ1pPc/7p7V\nbmjnJqqJQvN6046A9hxL0UQqbiw+YN5RGLn9RnPctEs+6Xrs+qhu+6b9B/2fNcVRil2P3ZneUS2a\n2kETKbrZ/tkAUVz1Zd2ddjv8vh3RA6LYzWr2cnFNtG9SYLoTTaTsARS9TfN0o98qjjqfHuT6NNG7\ngeg8kM2Y85R67+9UTZo6CJpYtiZqiXW7VVe3oj3/dWRAai+SjD+uPfkuvoHD9tHPSd8D8QqNI6rr\n5gVKtWfm9Yz8tu8gWK5oNzSRIk300T7Ur+ZFEzTR7PhbongimqCJFseyXtBED0W3qwRN9HAZeoY8\naAKgCYAmAJoAaAKgCYAmAJoAaAKgCYAmaAI0QROgCZoATdAEQBMATQA0AdAEQBMATQA0AdAEQBMA\nTQA0AdAEQBMATQA0QROgCZoATdAEaIImAJoAaAKgCYAmAJoAaAKgCYAmAJoAaAKgCYAmAJoAaAKg\nCYAmaAI0QROgCZoATdAEQBMATQA0AdAEQBMATQA0AdAEQBMATQA0AdAEQBMATQA0QROgCZoATdAE\naIImAJoAaAKgCYAmAJoAaAKgCYAmAJoAaAKgCYAmAJoAaAKgCYAmaAI0QROgCZoATdAEQBMATQA0\nAdAEQBMATQA0AdAEsPaaCEORwPpo4iZscLjemjhr1kL4RJOjiVyrMYTFtdbEwRi1EO1HtMzV1kT9\n380wzK+3JiqOJWkiHt9qWKIJmqCJSHyfhJf1P6X6AcRF66Ot2uvrjc46N+HZOmhis1YT1UaJN8q1\nCrjZbC88qr3bbVRVg12tc8U10Tx2qrWFm4uwYx0N2uvchOW18IntsNIs9lXt37oqrroLw3A/l7tu\nvtrWOldaE9s34UnDCrabYnhc+/ckvGm8aa3zZJUlEddEK7dqCKA+ItVaWPuzE1YdO63NuNOTSIp9\nFh51nKOtm5OVlkRn3Gm30fwbh0sX4V7jo3K9NrY7dkoT66CJSqVSrDWHy86iQn1IMh8JfBhurbYk\nOpo4rDf/ciyR3q2/iC+kibXIJwqtv0ftYfrdmCbCYcNSq3bsFNdEjibWVBO1v6e53GntIGqnctCv\nidr5iw2aoIn10sR1vVU03zSOnXIxTeQqq90Ohmhiv/6eJtbTJw5zG4M1UdPM9XppotpadF3PtGhi\nDTVx0T0RkWtO+7loiqCzOAx31koTm81TEO2x2KgmrhuD1VhdTbRonbM7Og9vmlPhwvg5u41VPk2V\noIl6NxE+aZ6m69HEab1eClrnqmqi2Gj4161pGyeN87bNE3i5+knccr7TEi5X+JBhr3G2uuUPT1qv\nzrqzx9sLW1WwFQ6dM4lsawLIFt98N5UmXlVzWFVeepdPAFH+9DJNALdPKO6/UHFYWb784zQ2cUfF\nYYWN4t7EkviITWCVuTuxKP4sm8Bq83nwwUSSePkndYZV50Xw8binKe4/Cr5SYVgDXn8ajMdn70+8\n7beCsfnm/bls4MMvx9/Cm7fdwIu7cykDVkhtwUfjH5a980r/iNatN5D7a3B//C38mqCKXybZwPP/\n9drsKwErxNNXJsvf3wnen/EG3ggmPFX/6JveDbw32Qb+FdydcRmwQnz726TjvF/HO8lbbyAXTDyj\n6+9P4xt4Z9IN3AtmWwlYIT6c4iz574NZbiD32hQTul6JdtP/773JN/B8tmXACvE/70zeHJ49+nSG\nG5imQcb6+ak28OyVP8ywDFglpmpP916b4QZePJ9qiuMbt9zA27MsA1aIr36+5aTbW29gymumPnjp\nlhuYaRmwQnzxr1s2h1tvYMom/fY3s9PE7cuAFeKne1M1h4ez28Dtm/SUG5hlGbDu6cQMGmSQpl1w\nxTtogiZAEzQBmqAJ0ARNgCZoAr3shwc0QRPocnTr59HSBE2sFu2bftMETaDJRl0TVZqgCXS4rIvi\ngCZoAh2ehLdLKWiCJqQUNEETK07+dikFTdDE6lG6VUpBEzQhpaAJmpBS0ARNSClogiakFNOmFDRB\nEyucUhzSBE3g9ikFTdCElIImaGKNUopjmqAJ3DaloAmakFLQBE1IKWiCJtaU02lSCpqgiVXmfIqU\ngiZoQkpBEzQhpaAJmpBS0ARNYNqUgiZoQkpBEzQhpaAJmpBSHNMETWDKlIImaEJKQRM0IaWgCZqQ\nUoyfUtAETUgpaIImpBQ0QRPIjZ1S0ARNrAmFcVMKmqCJdaE4ZkpBEzQhpaAJmiAKmqAJdFKKIk3Q\nBOIpRYEmaAITHT3RBE0QBU3QhJSCJmgC46cUNEET63z0tBvSBE0gIoq9kCZoArnDTkpxE9IETaDG\ncTOl2A2Tn6JNEzSxflTrYthrSCLcogmaQCulaFKmCZpAK6VoQRM0gcZ4E03QBLrchDRBEwsd1ilG\neJC+/dsNY5zSRCo1sd1qQSeVUuYlcR5rcTepPm5KvESbJlKhieFByhblWGGepPq4KfHgiSbSp4kw\nrGRdEynevY0bmsiKJhqTDQqn5XT2rqujiX5V0ESqNVFna6yLhmliZqrYpYm0ayK3UQ/UA5pYlCq2\naCL1mshth1loVpNo4qzRG29cNOYZRT/IF9ujChftIaqrMLyKVMx1ZCuNhlztDs1VIze7PI5dKXTU\nHK3Ij6OKMk2kXxON4cz9zrvLZuRid7DbqS+63s7lHofhRttdytF22W0Om83R0W5bLEa2fhj75aSf\nmoUmDsKwlDvpP4Dfai96kOssL0cKsh1Ze6Pbs+e71RatwoNIAccYw+uogiYyoIn6I0QuWq8fJAz1\nb7cXndTD3+weCz0NpNNpXnc2UOp+2hnZqkS+9mAmZxUGaaLcn9VWIkNtozTRKPP1wXl0AwM00fil\n4kGrhkargiYyoIlcN1JX9ZcXW+Vo8La7Tel6pCYaqxVPoqdsB2gi6admp4m2zG+64mw8PWizte+j\nNNFZYbd7f/BkTdSL1Dz6epJ4fUSfKmgiC5o4b0dqo3O8WztICo+6zaOeGOab3dxQTZQ7h2HVzgrJ\nmkj8qSk1UWkT1cRV59erXQfbjih3mCaOu8XbbClpkCYi8zWqo2+vX1PFKU1kQBNX7WhHUsDL9rIH\n3SZbHKWJzfjR98EQTST91K3PY0c0Ucn1tu5oqUdpIpphVdvfS9TETmTp5jgF2TigiflrYj88uJ0m\nSq1Y5nuifhrv8OujNcM1cdNNTLotPVETiT81S020P9+NHgRt9Lf+RE1Ek+3u1hI1UXtxGV26PWkB\naGIOmjgaeRg7ShPtBr7TE/Vi6+9Rf+tP1kS02eWGaiLxp2aZT/TtxlZ04QhNxDZQGqWJzejSEk2k\nQBOTJ6mDfKIaHTgpthb2Bn2IJmKd/3BNJP7UXDVRnEAT5cRJSoM0cbvJYzQxB01sTPI05kRNVLrN\nv68pbPe28yGaKPR+f3ugJkZOF525JsoTaCKcXhOPaSIN+UTj1NfBLTRRHqKJwgSaKPV+P59dTVSj\nlyptD9VEdM2tHE2kYtzpSThZSjHo/ER9LCgS35P8FJqINpBSbpgm+n5qvpq4mPDYKbHaEjWxcatB\nQJqYz1jshD1twnnsndby4/5BrcmOnRJ/LVETs7mYaWxN7CVrIppmdJYeT6SJU5pIoSbyk6UUPZoo\nRhrqTdLKG/2a2E7SxMagpnSQpImbxWriQbQgXaVH1+0sHSju/SRNHNBEGs/ZlSZKKeKaqJ9puu5v\nS5GVj8bURC7xvvKR2VTdIdiDWc3FHVsT0YLku7561l03sjRxUDVSkGKnus9vWxCamNd57IlSiv7r\nJzb6T2v1n/Jtnr8r5HrPVVWjmujv/SMH8odh4hm0hWkiMq+k/TrfOYrbiM/46G/p3clKJ2FsbscR\nTaRybsckKUVUE5XoAGLSNra6n9+EMU2EfUtPky5PetxZWAjDhBZ6e00UOgzTRP3IqHHwsxP2zHZt\nNOpK39Kz1hnNm9bCB62htI3GDWDbmihGZqnsTXEZL03MTROTpBT1g4B6CzprtYPOtQ6HYXd2Qina\neivdsw+FbldZbbW0amdptdtr1q6juIq3r2K01SX+1G3ndiQdmHVfX0QuAO0u3e8ujeRDD5IGirsL\nTirdQ9VqOPR+sDSxvDmAE6QUPacGutcTNe8L39MUImfiznpnhTcvlCgnLe0ON+1EtthtYMczOT0R\nuaBnpCY694K6iaVDpe5VHD3z+foaenvBVa6SeE1RrC5pYvnzYhspxeHEmoiPJJ5GPjnoaTS1fCWi\niXx76WGunHhNUXeKbPuSt4tYq0v6qSmoRGke7uwXi93TybWTH93hhHodlfd7z87XZ4xd15Oxo2Jk\ngHi/udvH0VGDs2pr4nzttnGR5n/Z8IrryjRnWWhijpoYP6XIt5tQ0sMHHzQPMfaiCfteO+mIDSxd\ntq+mOy0Wu60h37SFi+i4zWZ9m+cbjRa6NfynFsN2ei5Bp4l5aiI/8cSniRn1EM+sQBPrck1Rae73\nuqQJmsiWJiZIKWiCJtZDE7lwzvdqogmayJom5p1S0ARNZE0TzQHOY5oYo++giTXRRPO81OEcNbGd\nA01kShNzTylAE1nTxALOUoAmMqWJeacUoInMaWLOKQVoInuakFLQBE1IKWiCJqQUNEETE91XXEpB\nEzQhpaAJmpBS0ARNTIKUgiZoQkpBEzQhpaAJmphYFFIKmqCJLgUpBU3QRJyilIImaEJKQRM0QRQ0\nQROTphRFDY8maCKeUhS0PJqgCUdPNEETREETNCGloAmakFLQBE3MQBPxo6ddx1E0QRNRUezJLWiC\nJlrPU2ykFDfybZqgiTrHzZRiN5zkKdqgiRXWRPN5tXvN5yluaYc0QROxR52WtUOaoIlWSnHbZ1GD\nJlZIE3s0QRM0EeUmpAmaoIkuu2GMUw2RJtZcE3txSbhEmybWXRM3YS8aIk2styY2bmiCJmhiuCo0\nRJow7hRXhdkdNEETcVWY3UETNBFXhdkdNEETParQEmmCJuKq0BJpgibiqtASaYIm4qowu4MmaCKu\nigNNkSZoAjRBE6AJmgBN0ARogiZAEzRBEzRBEzSxRnzz3VTN4dXZbWBpTfqVGZYBK8RL796yQd56\nA1M26X9+OTtR3b4MWCH+9PItm8OtNzBlk/75rdlp4vZlwNonFPdfzHADL713ywb50r+n2oWnMywD\nVokv/zhNg7wzww1M1SLv/3JbXc+2DFgpo7g3cWv46MVMN/CPl2/ZIL//bfIN/O7pTMuAVeLuxO3h\nz8FsN5D760cTS+IPsQ388p9JN/DHWZcBq8TnwQcTtYaXf5r1BnIvHn490YFTjyRqBz//e6INPPtt\n9mXASvEi+HjcEfr7j4Kv5rCBT4NXfxxzA/d+DX7qP5L/w/gbePbuw+D1OZQBq8XrT4Px+Oz9OW3g\n7hdjbuDFD8kb+PCTYNxd+HxOZRiLt4Kx+eZ9LROr3/kEE+RO77xibAurztNXJsvk3wlYBVaabyce\nNP6aU2CV+XCKk4u/N+aLFeZ/3pnidPmjT1UcVpap5qDce03FYVX56mfTb4EoX/yLJoAoP92bShMP\n1RykE3wCNEEToAmaAGgCoAmAJgCaAGgCoAmAJgCaAGgCoAmAJgCaAGgCoAmAJgCaoAnQBE2AJmgC\nNEETAE0ANAHQBEATAE0ANAHQBEATAE0ANAHQBEATAE0ANAHQBE2AJmgCNEEToAmaAGgCoAmAJgCa\nAGgCoAmAJgCaAGgCoAmAJgCaAGgCoAmAJgCaoAnQBE2AJmgCNEETAE0ANAHQBEATAE0ANAHQBEAT\nAE0ANAHQBEATAE0ANAHQBE2AJmgCNEEToAmaAGgCoAmAJgCaAGgCoAmAJgCaAGgCoAmAJgCaAGgC\noAmAJgCaoAnQBE2AJmgCNEETAE0ANAHQBEATAE0ANAHQBEATAE0ANAHQBEATAE0ANAHQBE2AJmgC\nNEEToAmaAGgCoAmAJgCaAGgCoAmAJgCaAGgCoAmAJgCaAGgCoAmAJtQcaIImQBM0AZqgCYAmAJoA\naAKgCYAmAJoAaAKgCYAmAJoAaAKgCYAmAJoAaAKgCZrAqvPNd1Np4lU1h1XlpXf5BBDlTy/TBHD7\nhOL+CxWHleXLP05jE3dUHFbYKO5NLImP2ARWmbsTi+LPsgmsNp8HH0wkiZd/UmdYdV4EH497muL+\no+ArFYY14PWnwXh89r7KAgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAALDWfPjWl8Ec+ObN99UtAGSd1/8aBB/dfzYH\n3vn1lSB4844qBoDM8sbT4JV3n82Rdx4F36xtTrFxdnAd9lA9Km1qdwCywrfBb989mzNf/z14un4Z\nRb5SDYdwc5nX+gCkng9fC959tgB+/0qwXglF4SIcg4ttTRBAul3if4J3ni2Ee4+CT9enXivhuNwU\ntEIAKeZF8PzZgrgXvPbGelRq/qjnTMRp7OPdnXLcKc60QwBp5avg52cL44PgpbWo1LOoBZwMOFd9\nFT1tUdQSAaSUL4J/Lc4m3g6+WYc6jaQS1f1hOUfk5EV1V1sEkEp+Cu4tziaePQxWv0bzkdmvj0es\nu3/TXXdfYwSQRoJggS7xLFgDm+imCNf5SdaumhwLgE2sgU3sdfr98lj9/kl3amzCp9uFQuFw6PcP\na2uMnFO7WarsFIs318XiTmXUdX1L+EkAbGJ9bOKyO891zOygO+502fvRk/Yng7rt/fYKTwZufr+Y\nNAn3ZFA3v4SfBMAm1skmuicmTsf8Rikc2PF2ps0OurKi0Mlckj8/vRl8uUY5sdtewk8CYBNrZBOn\nnS7xeOzvdE9PPJhtn7016rq+/ZnbxDQ/CYBNrJFNnEycTESv1z6eZZ/9INI5X0VODpxFLu07mq1N\nTPeTANjE+tjEdnfe0vhf2g8H9by36bO7F29Uhoxz9U3GWsJPAmAT62MTh1NdVt091J5dn91Ja84T\nv1gc9PESfhIAm1gfm+jepeNggm91h2S2Z9Vn77Q/2BnwzeP2CltL/0kAbGJ9bOJqyLDLYM7DAX3z\n1H322egT6dXk0bEl/CQANrE+NlGZyiaKM88mLgZsMELnMsDSsn8SAJtYH5t4HI4aeRk+6JSfjU0U\nxjhDcpU8BLSEnwTAJtbHJk6nOjfRnQSUm41NdA7bi5WBHCcPEi3hJwGwifWxif2hN2ia+EvT9tnF\ncAKKy/5JAGxifWxio9sVjn+3u+55760Z2UR5kj57Z9k/CYBNrNFV2MdjP2qiy8VAa1lAn319tvSf\nBMAm1vKeTuVxv1IafBuoW48A7U1cgCX8JAA2sU53iL2ZdEpsvvtI7MOBfXZpsj77oHPz7ultYnE/\nCYBNrOfzJsZ8aunFkBH74pR9dimc+kK2JfwkADaxVk+vO57MJy6G3Xn8eNRIzqBr3W6mvpBtCT8J\ngE2slU3kuw8m6nt+RB+7N0PPZVyNeBLewDMhnavBq5M+XnQJPwmATayVTeR2uycbwicbQx3lIrJm\nUq+8O/RqvYjH9JlMZ8vXE3baS/hJAGxivWwiOpBU6/4HPVM69yD6NNDL5HVOBg9Jxb7e12dHcpoJ\nB4GW8JMA2MSa2UTPoz7Ll313w9vdil1ncD0o6diIZCbRCzE2D3qfMt33zcgPVJI3XzhIurxjCT8J\ngE2sm03k8scJl5VdFGs8SbrgrHo5aEOb1dhNLiqlwuOdYnfZyePBZzYqsV84vtzteFShclIdPLS0\nhJ8EwCbWzSZ6u8zRPNkdYDgXg79zkO/MQ006Ab5xPMbv7qXiJwGwifWziVp3e3UzosO8iHXI58kT\naLeT74Nx3ZhGVRp+zXepOmIPjtPykwDYxPrZRKPDvTxJ7ixv9hp3w8gfxZdeJk5DfdDbbZ+0p9o+\naCcjA/dgc2dAv31yuT1kx5fwkwDYxBraRKfnLBTOmg9duCz0JA2nPTnHdSV5Qulh4bLx9d2pdqD9\n+1eFwuHYX1rCTwJgE+gfndrqPey+VCkA2ARiThEbp7lRIwDYBHp4EDmhrTYAsAkksH/kKaAA2AQA\ngE2wCQBgE2wCANgEmwAANsEmAABsAgDAJgAAbAIAwCYAAGwCAMAm2AQAsAk2AQBsgk0AAJtgEwAA\nNgEAYBMAADYBAGATAAA2AQBgEwAANsEmAIBNsAkAYBNsAgDYBJsAALAJAACbAACwCQAAmwAAsAkA\nAJtgEwDAJtgEALAJNgEAbIJNAADYBACATQAA2AQAgE0AANgEAIBNAADYBJsAADbBJgCATbAJAGAT\nbAIAwCYAAGwCAMAmAABsAgDAJgAAbIJNAACbYBMAwCbYBACwCTYBAGyCTQAA2AQAgE0AANgEAIBN\nAADYBACATbAJAGATbAIA2ASbAAA2wSYAAGwCAMAmAABsAgDAJgAAbAIAwCYAAGyCTQAAm2ATAMAm\n2AQAsAk2AQBgEwAANgEAYBMAADYBAGATAAA2wSYAgE2wCQBgE2wCANgEmwAAsAkAAJsAALAJAACb\nAACwCQAAmwAAsAk2AQBsgk0AAJtgEwDAJtgEAIBNAADYBACATQAA2AQAgE0AANhEBmzislgsbmsR\nALByNrF7VWlyWSjkp99MMQzDghaRcU4rMQQUYBO5XCGMc7zJJtaWg57GUFYlAJto2ESrNzisVOt9\nwyWbWGebqMxn0wWuAzaxAjZRH3So+8Q+m2ATbAJgE8nyvejpKPKFy0qlVNjo/+LhWaVytj/AJgqF\nXa1jZWxis9CI8+ZV7GzFfq0BVEqHSWvmNku1z/bZBLCKNlEfdjprf3QdHac+iHxp9zwyfr3faxP7\n9Y2UNzWPFbGJ7cbSvWa4TxqLSjeRllEtxdfsfnjzoHmsET/jIekEm8iwTWzWjWErovnjpmU8KNde\nX7c7/t26DVQva/awfVbPPuI2sV1ft2xu7GrZRP244MnjwtVJ/czVfsMCLg/ryeZOwyg2u2vWw188\nrTWso8aMiObyQuGy3oIKdeSZYBMZtIlqsU7zUG8reVLsTtc/Gp3EabcTOYzaRP6cSWTbJg4KHba7\nnX+t68/Hmkw3xGfd81nNNR+3PshXI28MOoFNrMyE2PCmMGi1YvPleeJsqKZNHDCJrNtE//BQo/M/\n66y00TvN4aqeKHTWvO5+UIqMVbIJsIkVGXTaqfZPdTos1C66OujYRKPT2E60iZO6yzCJlckmDiND\nSXFXKEa/tdFxlJ41I8cWbAJsYmVOYee2Ii5wVo4dWxa76Ucu0SYe1BON6r52kWWbSD43UR62UplN\nAOtkE41ZKVeNT+qZxfFhr+Lzg7OJQtNDjjWMVbaJx535Tu0ctHPgwCaAdbCJhuZL7WPE/QTFn0dO\nTPbaRPOvKY+rbBO7vccJlx3fYBPAGthEY0rsRccvNqJjUS3Fn8ZnOh1uxWyimVAUtY2VtYnGrLdy\n94LL+onq6/wom2gkoa6lAZvIqk0057MXHleak2JPmpo/6VwftVsMo31/wyeqlcP6dRNP+q6byOWO\n4z6CFbOJXKVxWWV97lO+0Ljq7iJ5zahNNJLQ+iy63asNFQ02kSmb2O+dD9sdTzqLnL3ePIimCFeR\nLzzpuwo7d1g/q3Ge1z5W1CZyG+dhfwsYYRO5c1dhg02s4mOJ9usPIGgkBvlC/MZO+/XHVFx2r6jN\nxy6v3XWxbSbpTIKN+0Qh4aZe24/rT6R4vD1szd34I0z2C7VvPFDLWDeb+HqBNvGqh5wCQLb4LHi+\nOJe4F/yixgEgU3wf/HtxNvFu8IUaB4BMceen4LuF2cTD4K4aB4Bs8WnwaFFnJ/4SfKW+ASBrvB+8\nspB84uuXuQQAZJE3XgS/m79L/Dn46XN1DQCZ5E9/Df4y14zi64+C4L/UMwBkN6P4Igh++3E+HvH8\nP0HwQiYBAFnn9S+DBo+CGfHwYePPNz+8Mf+dv/v6D5989sus9vynzz774a33s7YHKdiFD+t78M2s\n9iD45bMvfvjq88zFAUDaMqHv/zsIXv343/96PrOBs7efP3/v17pdfnI3G3uQgl2488Nfa3vwUW0P\n/jmzRPS758///XP9YOPbDzMSBwCp4863QfCf38/rnMrbPwfB0zfSvgdp2IXv57kHz97+uNZPpz8O\nAFJoEk+DR79/Nlfe/kvwy4dp3oM07MInwcP7c54p98+Xg2/eSHUlAEghXwWvzLlraHQPvwXfpncP\nUrALfwuCfy3gwpvvHgZvpjgOAFLIm8FHi7l8/I/BZ2ndg1RUwu+eLWoXPkltHACkkO8X1Tc8e/ZB\n8j0Ll78HKdiFH4KPF3ZTsPdSGwcAKeTz4OHi7m37n+BvadyDFOzC3eDh14vchU9TGQcAaeTb4MfF\ndQ7vJA02LH8PUlEJ/2dxe/Ds9ymNA4A08mXwzgL7p+C1NO7B2lVCWuMAII0s/yneKXiO+LpVQlrj\nAIBNsAk2wSYANsEm2ASbANgEm2ATbAJgE2yCTbAJgE3ontgEmwDSy8bRkzybYBNsAkAij6thjRKb\nYBNsAkAf+YuwxTITCjbBJtgEkFqO2z6xxISCTbAJNgGkl8Pq0hMKNsEm2AQgoWATbIJNAFlld8kJ\nBZtgE2wCSDkHS00o2ASbYBOAhIJNsAk2AUgo2ASbYBOAhIJNsAk2AUgo2ASbYBMAUpJQsAk2wSaA\n7CUUl2yCTbAJAEMSivIGm2ATbAJAChIKNsEm2AQgoWATbIJNABIKNsEm2AQgoWATbIJNAFhkQsEm\n2ASbALLH9s3CEgo2wSbYBJBFdhaVULAJNsEmAAkFm2ATbAKQULAJNsEmAAkFm2ATbALAIhMKNsEm\n2AQgoWATbIJNABIKNsEm2AQgoWATbIJNAFhkQsEm2ASbACQUbIJNsAlAQsEm2ASbACQUM08o2ASb\nYBOAhIJNsAk2Aaw+m9fzSCjYBJtgE8DKUJlDQsEm2ASbACQUbIJNsAlAQsEm2ASbADDzhIJNsAk2\nAUgo2ASbYBPAWiYU15tsgk2wCQBDEooKm2ATbALAHBMKNsEm2AQgoWATbIJNABIKNsEm2ASAmScU\nbIJNsAlgPROKfIVNsAk2AUgoBiQUZ7Ubjx+yCTbBJoB1Z6OckFDsXjSW7LEJNsEmAFz2JBT5vfb7\nKptgE2wCQDyhOOs85a7GKZtgE2wCQDShiHPMJtgEmwAQSyjibLAJNsEmANQ5SLSJSzbBJtgEgPbM\npn7O2QSbYBPAutOd2ZTALptgE2wC2eZqSBd3oXpGE5vZ1M8Wm2ATbGJsniSqqHxQ2tbVLJHykC6u\nqnqmHWzqNnA2wSbYxLgUhmnpeF+Pk0KbeKx6ho82VW7CkRyyCTbBJmZhE3Wn2NDtLNEmpHRTsjHK\nKvbYBJtgE5PZRLEnab/q3GJzFo8VBptIm1VU2QSbYBO3somGVZTHP90HNpE1qzhlE2yCTdzWJmoS\nuzC1JmM2sVuqHO9VKoXha22eVuqrnc0+TyxcVnaKW5XLQpo2mmwVx2yCTbCJ29tELvd4uKQ2H1Qq\nR8eVytmIWej7jytbxZGd1xSMuwPL3+i8bKJ5kXGp/rIU6wxvSslfOIxPbTupW0Wp8fKg//f75wNt\nh/3rNjntnTNXfpBcqBlvdGqr2GATbIJNzMAmcqctSe30y67ao7qj5GPTq9h61av6smLjdaF/N/qf\nK9Z6vEwhN8UOzGWjKbWJ7fJYZ2n3EidO3d4mtpPnVZ/kc3Pf6NRWcckm2ASbmIVN5LYSD71KycO9\nfQewSZ1XeXsGNjHWDsxlo6m0iUpr9WKlUCjtdS4aeJJPDHbNrQ8KhxuFy2I7JLe0iXz7F09aVbp/\n2bbbq7lvdGqrOGcTbIJNzMQm8tX+dKLd21QrzV4sXzhOnhV13LGGy8L27oOt1vSpm/ItbWLMHZjL\nRlNpE81etmsKhVbUTuKJXTsaXc+P3tBiapvYb/7aTaw+863aO5r3Rqe3il02wSbYxCxsIrfTt8JB\n0hUV+y0L2E84HIxYzG5kHGFqmxh3B+ay0cXaxMjLhw+Sr7nbbS2NjuQ/SL6wrHRbm9gccHC+03fo\nP5eNTm8VW2yCTayGTWwcPckv1SZavch1r1B75xPmmz1qtdvNHrWmScX3P39yW5sYewfmstFl20SY\naBMHA04qRU9PVAddw71zO5u4TkhcGjQjfTPnjc4LNsEmMmITj6vzHhwfaROFnt6p1f+c9U8Q6rnI\n4iwc0MO2HxUzpU2MvQPz2eiybeIo0Sb6N9AX17OBk9a2b2UTpf68ZVA1z2WjbIJNrLNN5AeeilxC\nNtE5fDvvSS4G9iwnA69iqtzKJsbegflsNJ3nJgZtoNh7GJ50zHE7m2ieB68W+rnqTV/mslE2wSbW\nO5s4nv9sm5E2UYkPErcUfZwg4Na8mXzsMDzMzdgmxt6BOW00szZxMfBBC7ezietRN9mrzHejbIJN\nrPmg02F13gnFSJs4jkv4wchbb7Z6tv3Bsw5vZRNj78CcNppZmygPtO3b2cSomqtuz3ejbIJNrP0p\n7HknFKNsYrPnfHNplIBP4hs+mLVNjL0Dc9po1m1if9Y2cTP+MzDmslE2wSZMiN2db0IxyiZ2eu7q\ndDrmbZjbG76YtU2MvQNz2mhmbaI40bmJQSdr+tc9H3/O8Fw2yibYBJuIXkFVWrhNnPXOv98d92aA\n2xOdm9gdNKGob92xd2BOG82sTVwOjHSSTZwMOCXTv+4E55TnslE2wSbYxJwTiuE2Ueq//c2TcU/p\nXgy0tgSb2B50dW3/umPvwHw2mlmb2AgHTPrdLCfYxFZy9Dae9K3b2u7NGHU3l42yCTbBJuacUAyz\niXwxYVrJ5bjjM5eDlH6WcHld69qvau/KD/rXvRx/gGguG82qTbSP0HvO/nYvd4zfKyMpSO0rJuPr\ntkbsrkdfgjiXjbIJNsEm5pxQDLaJ7fZlG9XDpJPqe+P2dD1nf/dvkq7C7lyyPca6Y+/AfDaaWZvo\nTIeI3Pxpvzzgnk6dI5O9/gbRu+5l+3bzfU0z//jocu4bZRNsgk3MN6FItonDrZsBvUd3gKbaf4ns\nbqUY6dc2W9ZWPe0Xf59NtGdU3XQ96XF1wLrj7sB8NrpQmxh5W6dJbKJ73B4eVx7XHmDUfupUYqCL\nnZWLO2eVo9aVDBc7CetudlpLee+0UEsADgunlZNqwrymuWyUTbAJNjHXhKIwYn762eBT0HWtXxVq\nPfBGofB456J/fKor9JudyunV1pN4txQfetjvFO/6+KpUOW97Yjlh3XF3YD4bXbpNRHd8IpvIbV8n\nPZViwOMeSomPeqgkrrs/8Hq48wVslE2wCTbRn1BcLsQmygPzlsrA78TnpjzuX+HmwYDb8nQHyWOP\neign3sJn3B2Yy0YXwdArOTantYnuaeToU5cGPjzu8KLvQXetMxwJl8MUiv0HGUcJRxlz2SibYBNs\noi+hKM/s1N554tHaztmIcZb8Zf+hXnmn/04Q27Ht31wOmOnUOsl60/egu1Z3dzj1Dsxno9mmlihd\nnhU6FyUMfsZovUoKhbPHhbGfuFG7vcnjq0JhRJXNZaNsgk2wibklFLdgsybgSqlQGGFau7VR5UK3\nVxh6k8/t2t3dTgsz3oG5bHRlGGoTawubYBNZtYm5JBSLZmH3ggabYBNsYv1sInUJBZtgE2yCTbCJ\ndNlE9hMKNsEm2ASbYBPztInMJxRsgk2wCTbBJuZrE7ntmywnFGyCTbAJNsEm5mwTnRt8ZzKhYBMp\nI19/TN+uemATbGK1bCLTCcV2vVva0BOBTbAJNjFHm8h2QgGwCTbBJuZuExk/QwGwCTbBJuZsExIK\ngE2wCTYhoQDYBJtgExIKgE2wCTYxH5uQUABsgk2wCQkFwCbYBJuQUABsgk2wCQkFwCbYBJtYvE1I\nKAA2wSbYhIQCYBNsgk1Mz+a1hAJgE2yCTQyhIqEA2ASbYBMSCoBNsAk2IaEA2ASbYBMSCoBNsAk2\nsWCbkFAAbIJNsIlxE4rrTXIH2ASbYBNDEooKvQNsgk2wCQkFwCbYBJuQUABsgk2wCQkFwCbYBJuQ\nUABsgk2wieXbxPCEIs87ADbBJtbcJoYkFGe1G48f6gsANsEm1twmchvlhIRi96KxZE9fALAJNrHu\nNpHLXfYkFPm99vuqvgBgE2yCTcQTirPOU+5qnOoMADbBJthENKGIc6wzANgEm2ATsYQijnvIAmyC\nTbCJBgeJNuEWsgCbYBNsojOzqZ9zvQHAJtjEuttEd2ZTAru6A4BNsIm1tonYzKZ+tnQHAJtgE+tr\nEwMHmzqUdQcAm2AT62oT+cpNOBI37ADYBJtY50GnjVFW4YYdAJtgE+s+02moVbhhB8Am2IQJscOs\nwg07AD0km2ATQ6zCDTsAPSSbYBPDrMINOwA9JJtgE0Oswg07AD0km2ATQ6zCDTsAPSSbYBPDrMIN\nOwA2wSbYxBCrcMMOgE2wCTYBgE2wCTYBgE2wCTYBgE2wCTYBgE2wCTYBgE2wCTbBJgA2wSbYBJsA\nVs0mvl5g5/BqkMY9SMEuvBbcW2Qn/TCdcQCQRj4Lni+ub7gX/JLGPVi3SqjtwjepjAOANPJ98O/F\ndQ7vBl+kcQ9SsAtvBX9eoE38GHySyjgASCN3fgq+W+BYx9007kEaduGX4J8L24OvX0lpHACkkk+D\nR4sak/5L8FU69yAFu/B+8H8XdnYivXEAkEreD15ZyFHk1y8P6huWvwfpqIR3FnNa4FHwX6mNA4BU\n8saL4Hfz7xv+HPz0eXr3IAW7cOdp8PcFHM3/MfjpborjACCd/OmvwV/mehz59UfBoEPYtOxBCnbh\n/Z+Cl+d7huLe79IfBwApzSi+CILffpxPz/D8P0Hw4vP070EKduHOP4Lg0f+ZU05x/y9B8OXdDMQB\nQFp5/cugwaNgRjx82PjzzQ9vZGYPUrALf2vtwW+z2oPgt1cbf158dSc7cZgtd1//4ZPPfplVaX76\n7LMf3npfhwEAK5Enf//fQfDqx//+1/OZDaa9/fz5e7/WLfQTs3oBINPc+TYI/vP7eZ1nefvnIHj6\nhloGgKyaxNPg0e/nOiXg2dt/CX75UE0DQBb5KnhlzibRMIrfgm/VNQBkjzeDjxZzSfkfg8/UNgBk\nje8X5RLPnn3gPoYAkDU+Dx4u7n63/wn+psYBIFN8G/y4OJt4x7ATAGSML4N3FmcTz4LX1DgAZApP\n9gYAsAkAAJsAALAJAACbAACwCQAAm2ATAMAm2AQAsAk2AQBsgk0AANgEAIBNAADYBACATQAA2AQA\ngE2wCQBgE2wCANgEmwAANsEmAIBNsAkAAJsAALAJAACbAACwCQAAmwAAsAk2AQBsgk0AAJtgEwDA\nJtgEAIBNAADYBACATQAA2AQAgE0AANgEAIBNsAkAYBNsAgDYBJsAADbBJgAAbAIAwCYAAGwCAMAm\nAABsAgDAJtgEALAJNgEAbIJNAACbYBMAADYBAGATAAA2AQBgEwAANgEAYBMAADbBJgCATbAJAGAT\nbAIA2ASbAACwCQAAmwAAsAkAAJsAALAJAACbYBMAwCbYBACwCTYBAGyCTQAA2AQAgE0AANgEAIBN\nAADYBACATQAA2ASbAAA2wSYAgE2wCQBgE2wCAMAmAABsAgDAJgAAbAIAwCYAAGyCTQAAm2ATAMAm\n2AQAsAk2AQBgEwAANgEAYBMAADYBAGATAAA2AQBgE2wCANgEmwAANsEmAIBNsAkAAJsAALAJAACb\nAACwCQAAmwAAsAk2AQBsgk0AAJtgEwDAJtgEALAJNgEAYBMAADYBAGATAAA2AQBgEwAANsEmAIBN\nsAkAYBNsAgDYBJsAALAJAACbAACwCQAAmwAAsAkAAJsAALAJNgEAbIJNAACbYBMAwCbYBACATQAA\n2AQAgE0AANgEAIBNAADYBJsAADbBJgCATbAJAGATbAIAwCYAAGwCAMAmAABsAgDAJgAAbAIAwCbY\nBACwCTYBAGyCTQAAm2ATAAA2AQBgEwAANgEAYBMAgGXbxNcLtIlX2QQAZIvPgueLc4l7wS9qHAAy\nxffBvxdnE+8GX6hxAMgUd34KvluYTTwM7qpxAMgWnwaPFnV24i/BV+obALLG+8ErC8knvn6ZSwBA\nFnnjRfC7+bvEn4OfPlfXAJBJ/vTX4C9zzSi+/igI/ks9A0B2M4ovguC3H+fjEc//EwQvZBIAkHVe\n/zJo8CiYEQ8fNv5888MbKncC/j/NTDKNxmc3QQAAAABJRU5ErkJggg==\n",
-      "text/plain": [
-       "<IPython.core.display.Image object>"
-      ]
-     },
-     "execution_count": 6,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "from IPython.display import Image\n",
-    "url = 'https://netmatze.files.wordpress.com/2014/08/queue.png'\n",
-    "Image(url)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Note how we have two terms here, **Enqueue** and **Dequeue**. The enqueue term describes when we add a new item to the rear of the queue. The dequeue term describes removing the front item from the queue.\n",
-    "\n",
-    "Let's take a look at how pop and push methods would work with a Queue (versus that of a Stack):"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "image/jpeg": "/9j/4AAQSkZJRgABAQEASABIAAD/2wBDAAUDBAQEAwUEBAQFBQUGBwwIBwcHBw8LCwkMEQ8SEhEP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\n",
-      "text/plain": [
-       "<IPython.core.display.Image object>"
-      ]
-     },
-     "execution_count": 7,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "url2 = 'http://www.csit.parkland.edu/~mbrandyberry/CS2Java/Lessons/Stack_Queue/images/QueuePushPop.jpg'\n",
-    "Image(url2)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Conclusion\n",
-    "\n",
-    "You should now have a basic understanding of Queues and the FIFO principal for them. In the next lecture we will implement our own Queue class!"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 2",
-   "language": "python",
-   "name": "python2"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 2
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 0
-}
diff --git a/Stacks, Queues and Deques/Stacks Overview.ipynb b/Stacks, Queues and Deques/Stacks Overview.ipynb
deleted file mode 100644
index 8089314d..00000000
--- a/Stacks, Queues and Deques/Stacks Overview.ipynb	
+++ /dev/null
@@ -1,94 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Stacks Overview\n",
-    "\n",
-    "**Please see the lecture video for the full Overview on Stacks!**"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "____\n",
-    "\n",
-    "A stack is an ordered collection of items where the addition of new items and the removal of existing items always takes place at the same end. This end is commonly referred to as the “top.” The end opposite the top is known as the “base.” \n",
-    "\n",
-    "The base of the stack is significant since items stored in the stack that are closer to the base represent those that have been in the stack the longest. The most recently added item is the one that is in position to be removed first. \n",
-    "\n",
-    "**This ordering principle is sometimes called LIFO, last-in first-out.** It provides an ordering based on length of time in the collection. Newer items are near the top, while older items are near the base.\n",
-    "\n",
-    "For example, consider the figure below:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAwUAAAIcCAIAAAAoqZXJAAAAAXNSR0IArs4c6QAAAARnQU1BAACx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\ng4T9QwAAAGDokIcAAADAsLVp8/8ByU1hKXYrNEgAAAAASUVORK5CYII=\n",
-      "text/plain": [
-       "<IPython.core.display.Image object>"
-      ]
-     },
-     "execution_count": 2,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "from IPython.display import Image\n",
-    "url ='https://upload.wikimedia.org/wikipedia/commons/b/b4/Lifo_stack.png'\n",
-    "\n",
-    "Image(url)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Note how the first items \"pushed\" to the stack begin at the base, and as items are \"popped\" out. Stacks are fundamentally important, as they can be used to reverse the order of items. The order of insertion is the reverse of the order of removal.\n",
-    "\n",
-    "Considering this reversal property, you can perhaps think of examples of stacks that occur as you use your computer. For example, every web browser has a Back button. As you navigate from web page to web page, those pages are placed on a stack (actually it is the URLs that are going on the stack). The current page that you are viewing is on the top and the first page you looked at is at the base. If you click on the Back button, you begin to move in reverse order through the pages.\n",
-    "\n",
-    "In the next lecture we will implement our own Stack class!"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Extra Resources:\n",
-    "[Wikipedia Page on Stacks](http://bit.ly/1OJybGQ)"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 2",
-   "language": "python",
-   "name": "python2"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 2
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 0
-}

From 4db793e3147f1af60186c5e0c70d32052933fa27 Mon Sep 17 00:00:00 2001
From: Marcel Frueh <Marcel.Frueh@mailbox.org>
Date: Mon, 18 Oct 2021 08:25:34 +0200
Subject: [PATCH 2/9] Changed errorneous recursion solution to integer division
 and added a hint

---
 ...omework Example Problems - SOLUTIONS.ipynb | 28 +++++++++----------
 1 file changed, 13 insertions(+), 15 deletions(-)

diff --git a/05-Recursion/03-Recursion Homework Example Problems - SOLUTIONS.ipynb b/05-Recursion/03-Recursion Homework Example Problems - SOLUTIONS.ipynb
index fc6698ca..62d10b65 100644
--- a/05-Recursion/03-Recursion Homework Example Problems - SOLUTIONS.ipynb	
+++ b/05-Recursion/03-Recursion Homework Example Problems - SOLUTIONS.ipynb	
@@ -86,7 +86,7 @@
     "    \n",
     "    # Recursion\n",
     "    else:\n",
-    "        return n%10 + sum_func(n/10)"
+    "        return n%10 + sum_func(n//10)"
    ]
   },
   {
@@ -95,18 +95,14 @@
    "metadata": {},
    "outputs": [
     {
-     "ename": "RecursionError",
-     "evalue": "maximum recursion depth exceeded while getting the str of an object",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mRecursionError\u001b[0m                            Traceback (most recent call last)",
-      "\u001b[0;32m<ipython-input-4-a557a69e80e0>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0msum_func\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m4321\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
-      "\u001b[0;32m<ipython-input-3-98805590be21>\u001b[0m in \u001b[0;36msum_func\u001b[0;34m(n)\u001b[0m\n\u001b[1;32m      6\u001b[0m     \u001b[0;31m# Recursion\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      7\u001b[0m     \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 8\u001b[0;31m         \u001b[0;32mreturn\u001b[0m \u001b[0mn\u001b[0m\u001b[0;34m%\u001b[0m\u001b[0;36m10\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0msum_func\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mn\u001b[0m\u001b[0;34m/\u001b[0m\u001b[0;36m10\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
-      "... last 1 frames repeated, from the frame below ...\n",
-      "\u001b[0;32m<ipython-input-3-98805590be21>\u001b[0m in \u001b[0;36msum_func\u001b[0;34m(n)\u001b[0m\n\u001b[1;32m      6\u001b[0m     \u001b[0;31m# Recursion\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      7\u001b[0m     \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 8\u001b[0;31m         \u001b[0;32mreturn\u001b[0m \u001b[0mn\u001b[0m\u001b[0;34m%\u001b[0m\u001b[0;36m10\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0msum_func\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mn\u001b[0m\u001b[0;34m/\u001b[0m\u001b[0;36m10\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
-      "\u001b[0;31mRecursionError\u001b[0m: maximum recursion depth exceeded while getting the str of an object"
-     ]
+     "data": {
+      "text/plain": [
+       "10"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
     }
    ],
    "source": [
@@ -136,7 +132,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "4321 / 10"
+    "4321 // 10"
    ]
   },
   {
@@ -146,7 +142,9 @@
    },
    "source": [
     "We'll need to think of this function recursively by knowing that:\n",
-    "4502 % 10 + sum_func(4502/10)"
+    "4502 % 10 + sum_func(4502//10)\n",
+    "\n",
+    "Hint2: python3 automatically converts the result of a division to float! Make sure to use integer division (a//b)"
    ]
   },
   {

From 92ba9ba3c62f74a22df577048c7ffacaa586379a Mon Sep 17 00:00:00 2001
From: Marcel Frueh <Marcel.Frueh@mailbox.org>
Date: Mon, 18 Oct 2021 09:10:06 +0200
Subject: [PATCH 3/9] Refactored directory structures for interviews

---
 .../01-Anagram Check - SOLUTION.ipynb         |   0
 .../01-Anagram Check .ipynb                   |   0
 .../02-Array Pair Sum - SOLUTION.ipynb        |   0
 .../02-Array Pair Sum .ipynb                  |   0
 ...-Find the Missing Element - SOLUTION.ipynb |   0
 .../03-Find the Missing Element .ipynb        |   0
 ...04-Largest Continuous Sum - SOLUTION.ipynb |   0
 .../04-Largest Continuous Sum .ipynb          |   0
 .../05-Sentence Reversal - SOLUTION.ipynb     |   0
 .../05-Sentence Reversal.ipynb                |   0
 .../06-String Compression -SOLUTION.ipynb     |   0
 .../06-String Compression .ipynb              |   0
 ...ique Characters in String - SOLUTION.ipynb |   0
 .../07-Unique Characters in String.ipynb      |   0
 .../01-Anagram Check -checkpoint.ipynb        | 217 ------------
 .../02-Array Pair Sum -checkpoint.ipynb       | 136 --------
 ...Find the Missing Element -checkpoint.ipynb | 164 ---------
 ...4-Largest Continuous Sum -checkpoint.ipynb | 128 -------
 .../05-Sentence Reversal-checkpoint.ipynb     | 220 ------------
 .../06-String Compression -checkpoint.ipynb   | 143 --------
 ...ique Characters in String-checkpoint.ipynb | 126 -------
 .../Anagram Check -checkpoint.ipynb           | 197 -----------
 .../Array Pair Sum -checkpoint.ipynb          | 136 --------
 ...Find the Missing Element -checkpoint.ipynb | 169 ---------
 .../Largest Continuous Sum -checkpoint.ipynb  | 130 -------
 .../Sentence Reversal-checkpoint.ipynb        | 220 ------------
 .../String Compression -checkpoint.ipynb      | 128 -------
 ...ique Characters in String-checkpoint.ipynb | 126 -------
 .../01-Anagram Check .ipynb                   | 217 ------------
 .../02-Array Pair Sum .ipynb                  | 136 --------
 .../03-Find the Missing Element .ipynb        | 164 ---------
 .../04-Largest Continuous Sum .ipynb          | 128 -------
 .../05-Sentence Reversal.ipynb                | 220 ------------
 .../06-String Compression .ipynb              | 143 --------
 .../07-Unique Characters in String.ipynb      | 126 -------
 ...-Anagram Check - SOLUTION-checkpoint.ipynb | 310 ----------------
 ...Array Pair Sum - SOLUTION-checkpoint.ipynb | 156 ---------
 ...issing Element - SOLUTION-checkpoint.ipynb | 258 --------------
 ...Continuous Sum - SOLUTION-checkpoint.ipynb | 140 --------
 ...tence Reversal - SOLUTION-checkpoint.ipynb | 257 --------------
 ...ing Compression -SOLUTION-checkpoint.ipynb | 162 ---------
 ...ters in String - SOLUTION-checkpoint.ipynb | 118 -------
 .../Anagram Check - SOLUTION-checkpoint.ipynb | 330 ------------------
 ...Array Pair Sum - SOLUTION-checkpoint.ipynb | 162 ---------
 ...issing Element - SOLUTION-checkpoint.ipynb | 272 ---------------
 ...Continuous Sum - SOLUTION-checkpoint.ipynb | 146 --------
 ...tence Reversal - SOLUTION-checkpoint.ipynb | 267 --------------
 ...ing Compression -SOLUTION-checkpoint.ipynb | 168 ---------
 ...ters in String - SOLUTION-checkpoint.ipynb | 124 -------
 .../01-Anagram Check -checkpoint.ipynb        | 136 --------
 .../02-Array Pair Sum -checkpoint.ipynb       | 131 -------
 ...Find the Missing Element -checkpoint.ipynb | 161 ---------
 ...4-Largest Continuous Sum -checkpoint.ipynb | 119 -------
 .../05-Sentence Reversal-checkpoint.ipynb     | 163 ---------
 .../06-String Compression -checkpoint.ipynb   | 103 ------
 ...ique Characters in String-checkpoint.ipynb | 102 ------
 .../01-Implement a Stack - SOLUTION.ipynb     |   0
 .../01-Implement a Stack .ipynb               |   0
 .../02-Implement a Queue - SOLUTION.ipynb     |   0
 .../02-Implement a Queue.ipynb                |   0
 .../03-Implement a Deque - SOLUTION.ipynb     |   0
 .../03-Implement a Deque .ipynb               |   0
 ...alanced Parentheses Check - SOLUTION.ipynb |   0
 .../04-Balanced Parentheses Check .ipynb      |   0
 ...a Queue -Using Two Stacks - SOLUTION.ipynb |   0
 ...Implement a Queue -Using Two Stacks .ipynb |   0
 .../01-Implement a Stack -checkpoint.ipynb    | 228 ------------
 .../02-Implement a Queue-checkpoint.ipynb     | 104 ------
 .../03-Implement a Deque -checkpoint.ipynb    | 206 -----------
 ...lanced Parentheses Check -checkpoint.ipynb | 169 ---------
 ... Queue -Using Two Stacks -checkpoint.ipynb | 129 -------
 ...lanced Parentheses Check -checkpoint.ipynb | 169 ---------
 .../Implement a Deque -checkpoint.ipynb       |  51 ---
 ... Queue -Using Two Stacks -checkpoint.ipynb | 131 -------
 .../Implement a Queue-checkpoint.ipynb        | 104 ------
 .../Implement a Stack -checkpoint.ipynb       | 228 ------------
 .../01-Implement a Stack .ipynb               | 228 ------------
 .../02-Implement a Queue.ipynb                | 104 ------
 .../03-Implement a Deque .ipynb               | 206 -----------
 .../04-Balanced Parentheses Check .ipynb      | 169 ---------
 ...Implement a Queue -Using Two Stacks .ipynb | 129 -------
 ...lement a Stack - SOLUTION-checkpoint.ipynb |  61 ----
 ...lement a Queue - SOLUTION-checkpoint.ipynb |  57 ---
 ...lement a Deque - SOLUTION-checkpoint.ipynb |  63 ----
 ...entheses Check - SOLUTION-checkpoint.ipynb | 202 -----------
 ...ing Two Stacks - SOLUTION-checkpoint.ipynb | 128 -------
 ...entheses Check - SOLUTION-checkpoint.ipynb | 212 -----------
 ...lement a Deque - SOLUTION-checkpoint.ipynb |  65 ----
 ...lement a Queue - SOLUTION-checkpoint.ipynb |  59 ----
 ...ing Two Stacks - SOLUTION-checkpoint.ipynb | 134 -------
 ...lement a Stack - SOLUTION-checkpoint.ipynb |  63 ----
 .../01-Implement a Stack -checkpoint.ipynb    |  57 ---
 .../02-Implement a Queue-checkpoint.ipynb     |  51 ---
 .../03-Implement a Deque -checkpoint.ipynb    |  51 ---
 ...lanced Parentheses Check -checkpoint.ipynb | 163 ---------
 ... Queue -Using Two Stacks -checkpoint.ipynb | 113 ------
 .../Implement a Stack -checkpoint.ipynb       |  57 ---
 ...y Linked List Cycle Check - SOLUTION.ipynb |   0
 .../01-Singly Linked List Cycle Check.ipynb   |   0
 .../02-Linked List Reversal - SOLUTION.ipynb  |   0
 .../02-Linked List Reversal .ipynb            |   0
 ...ked List Nth to Last Node - SOLUTION.ipynb |   0
 .../03-Linked List Nth to Last Node .ipynb    |   0
 .../04-Implement a Doubly Linked List.ipynb   |   0
 ...04-Implement a Linked List -SOLUTION.ipynb |   0
 .../05-Implement a Singly Linked List.ipynb}  |   0
 ...y Linked List Cycle Check-checkpoint.ipynb | 149 --------
 .../02-Linked List Reversal -checkpoint.ipynb | 194 ----------
 ...ed List Nth to Last Node -checkpoint.ipynb | 173 ---------
 ...ment a Doubly Linked List-checkpoint.ipynb |  69 ----
 ...ment a Singly Linked List-checkpoint.ipynb |  69 ----
 ...ment a Doubly Linked List-checkpoint.ipynb |  69 ----
 ...ment a Singly Linked List-checkpoint.ipynb |  69 ----
 ...ed List Nth to Last Node -checkpoint.ipynb | 192 ----------
 .../Linked List Reversal -checkpoint.ipynb    | 244 -------------
 ...y Linked List Cycle Check-checkpoint.ipynb | 149 --------
 .../01-Singly Linked List Cycle Check.ipynb   | 149 --------
 .../02-Linked List Reversal .ipynb            | 194 ----------
 .../03-Linked List Nth to Last Node .ipynb    | 173 ---------
 .../04-Implement a Doubly Linked List.ipynb   |  69 ----
 .../04-Implement a Singly Linked List.ipynb   |  69 ----
 ...st Cycle Check - SOLUTION-checkpoint.ipynb | 163 ---------
 ... List Reversal - SOLUTION-checkpoint.ipynb | 251 -------------
 ...h to Last Node - SOLUTION-checkpoint.ipynb | 213 -----------
 ...t a Linked List -SOLUTION-checkpoint.ipynb | 144 --------
 ...t a Linked List -SOLUTION-checkpoint.ipynb | 158 ---------
 ...h to Last Node - SOLUTION-checkpoint.ipynb | 210 -----------
 ... List Reversal - SOLUTION-checkpoint.ipynb | 267 --------------
 ...st Cycle Check - SOLUTION-checkpoint.ipynb | 169 ---------
 ...y Linked List Cycle Check-checkpoint.ipynb | 148 --------
 .../02-Linked List Reversal -checkpoint.ipynb | 173 ---------
 ...ed List Nth to Last Node -checkpoint.ipynb | 157 ---------
 .../04-Implement a Singly Linked List.ipynb   |  68 ----
 ...mple Problems - SOLUTIONS-checkpoint.ipynb |  28 +-
 .../01-Reverse String - SOLUTION.ipynb        |   0
 .../01-Reverse String .ipynb                  |   0
 .../02-String Permutation- SOLUTION.ipynb     |   0
 .../02-String Permutation.ipynb               |   0
 .../03-Fibonacci Sequence - SOLUTION.ipynb    |   0
 .../03-Fibonacci Sequence.ipynb               |   0
 .../04-Coin Change - SOLUTION.ipynb           |   0
 .../04-Coin Change.ipynb                      |   0
 ...Reverse String - SOLUTION-checkpoint.ipynb | 140 --------
 ...ing Permutation- SOLUTION-checkpoint.ipynb | 169 ---------
 ...nacci Sequence - SOLUTION-checkpoint.ipynb | 251 -------------
 ...04-Coin Change - SOLUTION-checkpoint.ipynb | 263 --------------
 .../01-Reverse String -checkpoint.ipynb       | 131 -------
 .../02-String Permutation-checkpoint.ipynb    | 136 --------
 .../03-Fibonacci Sequence-checkpoint.ipynb    | 258 --------------
 .../04-Coin Change-checkpoint.ipynb           | 147 --------
 ...m 2 - String Permutations-checkpoint.ipynb |  34 --
 .../01-Reverse String .ipynb                  | 131 -------
 .../02-String Permutation.ipynb               | 136 --------
 .../03-Fibonacci Sequence.ipynb               | 258 --------------
 .../04-Coin Change.ipynb                      | 147 --------
 .../01-Reverse String -checkpoint.ipynb       | 127 -------
 .../02-String Permutation-checkpoint.ipynb    | 131 -------
 .../03-Fibonacci Sequence-checkpoint.ipynb    | 236 -------------
 .../04-Coin Change-checkpoint.ipynb           | 143 --------
 ...m 2 - String Permutations-checkpoint.ipynb |  34 --
 ...-Binary Search Tree Check-checkpoint.ipynb |  82 -----
 ...02-Tree Level Order Print-checkpoint.ipynb | 119 -------
 ...rim a Binary Search Tree -checkpoint.ipynb |  83 -----
 .../01-Binary Search Tree Check.ipynb         |  82 -----
 .../02-Tree Level Order Print.ipynb           | 119 -------
 .../Node.py                                   |   5 -
 ...rch Tree Check - SOLUTION-checkpoint.ipynb | 155 --------
 .../bst1.png                                  | Bin 61595 -> 0 bytes
 .../bst_trim.png                              | Bin 33369 -> 0 bytes
 .../tree_print.png                            | Bin 30513 -> 0 bytes
 ...-Binary Search Tree Check - SOLUTION.ipynb |   0
 .../01-Binary Search Tree Check.ipynb         |   0
 ...el Order Print - SOLUTION-checkpoint.ipynb |   0
 ...2-Tree Level Order Print-checkpoint.ipynb} |   0
 ...02-Tree Level Order Print - SOLUTION.ipynb |   0
 .../02-Tree Level Order Print.ipynb           |  42 ++-
 .../02-Tree-Level-Order-Print}/tree_print.png | Bin
 ...im a Binary Search Tree -checkpoint.ipynb} |   0
 ...ry Search Tree - SOLUTION-checkpoint.ipynb |   0
 .../03-Trim a Binary Search Tree .ipynb       |  31 +-
 ...Trim a Binary Search Tree - SOLUTION.ipynb |   0
 .../03-Trim-a-Binary-Search-Tree}/bst1.png    | Bin
 .../bst_trim.png                              | Bin
 06-Trees/Trees Interview Problems/bst1.png    | Bin 61595 -> 0 bytes
 .../Trees Interview Problems/bst_trim.png     | Bin 33369 -> 0 bytes
 .../Trees Interview Problems/tree_print.png   | Bin 30513 -> 0 bytes
 .../01-Implement a Graph-checkpoint.ipynb     | 223 ------------
 ...th First Search Algorithm-checkpoint.ipynb |  60 ----
 ...th First Search Algorithm-checkpoint.ipynb |  62 ----
 .../01-Implement a Graph.ipynb                | 223 ------------
 ...plement Depth First Search Algorithm.ipynb |  60 ----
 ...ement Breadth First Search Algorithm.ipynb |  62 ----
 .../01-Bridge Crossing - SOLUTION.ipynb       |   0
 .../01-Bridge Crossing.ipynb                  |   0
 .../02-Coins and a Scale - SOLUTION.ipynb     |   0
 .../02-Coins and a Scale .ipynb               |   0
 .../03-Egg Drop - SOLUTION.ipynb              |   0
 .../03-Egg Drop .ipynb                        |   0
 .../04-Hallway Lockers -SOLUTION.ipynb        |   0
 .../04-Hallway Lockers.ipynb                  |   0
 .../05-Jugs of Water - SOLUTION.ipynb         |   0
 .../05-Jugs of Water .ipynb                   |   0
 .../06-Light Switches - SOLUTION.ipynb        |   0
 .../06-Light Switches .ipynb                  |   0
 .../07-Ropes Burning - SOLUTION.ipynb         |   0
 .../07-Ropes Burning.ipynb                    |   0
 ...ridge Crossing - SOLUTION-checkpoint.ipynb |  66 ----
 ...ns and a Scale - SOLUTION-checkpoint.ipynb |  39 ---
 .../03-Egg Drop - SOLUTION-checkpoint.ipynb   |  73 ----
 ...Hallway Lockers -SOLUTION-checkpoint.ipynb |  63 ----
 ...-Jugs of Water - SOLUTION-checkpoint.ipynb | 110 ------
 ...Light Switches - SOLUTION-checkpoint.ipynb |  47 ---
 ...-Ropes Burning - SOLUTION-checkpoint.ipynb |  49 ---
 .../01-Bridge Crossing-checkpoint.ipynb       |  46 ---
 .../02-Coins and a Scale -checkpoint.ipynb    |  35 --
 .../03-Egg Drop -checkpoint.ipynb             |  38 --
 .../04-Hallway Lockers-checkpoint.ipynb       |  35 --
 .../05-Jugs of Water -checkpoint.ipynb        |  35 --
 .../06-Light Switches -checkpoint.ipynb       |  37 --
 .../07-Ropes Burning-checkpoint.ipynb         |  39 ---
 .../01-On-Site Question 1 - SOLUTION.ipynb    |   0
 .../01-On-Site Question 1.ipynb               |   0
 .../02-On-Site Question 2 - SOLUTION.ipynb    |   0
 .../02-On-Site Question 2 .ipynb              |   0
 .../03-On-Site Question 3 - SOLUTION.ipynb    |   0
 .../03-On-Site Question 3.ipynb               |   0
 .../04-Phone Screen - SOLUTION.ipynb          |   0
 .../04-Phone Screen .ipynb                    |   0
 ...ite Question 1 - SOLUTION-checkpoint.ipynb | 222 ------------
 ...ite Question 2 - SOLUTION-checkpoint.ipynb | 158 ---------
 ...ite Question 3 - SOLUTION-checkpoint.ipynb | 188 ----------
 ...4-Phone Screen - SOLUTION-checkpoint.ipynb |  85 -----
 .../01-On-Site Question 1-checkpoint.ipynb    |  56 ---
 .../02-On-Site Question 2 -checkpoint.ipynb   |  51 ---
 .../03-On-Site Question 3-checkpoint.ipynb    |  76 ----
 .../04-Phone Screen -checkpoint.ipynb         |  49 ---
 .../01-On-Site Question 1 - SOLUTION.ipynb    |   0
 .../01-On-Site Question 1 .ipynb              |   0
 .../02-On-Site Question 2 - SOLUTION.ipynb    |   0
 .../02-On-Site Question 2 .ipynb              |   0
 .../03-On-Site Question 3 -SOLUTION.ipynb     |   0
 .../03-On-Site Question 3 .ipynb              |   0
 .../04-On-Site Question 4 - SOLUTION.ipynb    |   0
 .../04-On-Site Question 4 .ipynb              |   0
 .../05-Phone Screen-Solutions.ipynb}          |   0
 .../05-Phone Screen.ipynb                     |   0
 ...ite Question 1 - SOLUTION-checkpoint.ipynb | 122 -------
 ...ite Question 2 - SOLUTION-checkpoint.ipynb | 143 --------
 ...Site Question 3 -SOLUTION-checkpoint.ipynb |  89 -----
 ...ite Question 4 - SOLUTION-checkpoint.ipynb | 247 -------------
 .../05-Phone Screen.ipynb                     | 273 ---------------
 .../01-On-Site Question 1 -checkpoint.ipynb   |  54 ---
 .../02-On-Site Question 2 -checkpoint.ipynb   |  54 ---
 .../03-On-Site Question 3 -checkpoint.ipynb   |  54 ---
 .../04-On-Site Question 4 -checkpoint.ipynb   |  46 ---
 .../05-Phone Screen-checkpoint.ipynb          |  80 -----
 .../On-Site Question 1 - SOLUTION.ipynb       |   0
 .../On-Site Question 1 .ipynb                 |   0
 .../On-Site Question 2 - SOLUTION.ipynb       |   0
 .../On-Site Question 2 .ipynb                 |   0
 .../On-Site Question 3 - SOLUTION.ipynb       |   0
 .../On-Site Question 3 .ipynb                 |   0
 .../Phone Screen - SOLUTION.ipynb             |   0
 .../Phone Screen .ipynb                       |   0
 ...ite Question 1 - SOLUTION-checkpoint.ipynb | 149 --------
 ...ite Question 2 - SOLUTION-checkpoint.ipynb | 115 ------
 ...ite Question 3 - SOLUTION-checkpoint.ipynb | 121 -------
 .../Phone Screen - SOLUTION-checkpoint.ipynb  |  53 ---
 .../On-Site Question 1 -checkpoint.ipynb      |  49 ---
 .../On-Site Question 2 -checkpoint.ipynb      |  47 ---
 .../On-Site Question 3 -checkpoint.ipynb      |  54 ---
 .../Phone Screen -checkpoint.ipynb            |  47 ---
 .../On-Site Question 1 - SOLUTION.ipynb       |   0
 .../On-Site Question 1.ipynb                  |   0
 .../On-Site Question 2 - SOLUTION.ipynb       |   0
 .../On-Site Question 2.ipynb                  |   0
 .../On-Site Question 3 - SOLUTION.ipynb       |   0
 .../On-Site Question 3.ipynb                  |   0
 .../Phone Screen - SOLUTION.ipynb             |   0
 .../Phone Screen .ipynb                       |   0
 ...ite Question 1 - SOLUTION-checkpoint.ipynb | 138 --------
 ...ite Question 2 - SOLUTION-checkpoint.ipynb |  86 -----
 ...ite Question 3 - SOLUTION-checkpoint.ipynb | 116 ------
 .../Phone Screen - SOLUTION-checkpoint.ipynb  |  87 -----
 .../On-Site Question 1-checkpoint.ipynb       |  49 ---
 .../On-Site Question 2-checkpoint.ipynb       |  47 ---
 .../On-Site Question 3-checkpoint.ipynb       |  47 ---
 .../Phone Screen -checkpoint.ipynb            |  47 ---
 288 files changed, 52 insertions(+), 23469 deletions(-)
 rename 02-Array Sequences/Array Sequences Interview Questions/{Array Sequence Interview Questions - SOLUTIONS => 01-Anagram-Check}/01-Anagram Check - SOLUTION.ipynb (100%)
 rename 02-Array Sequences/Array Sequences Interview Questions/{Array Sequence Interview Questions => 01-Anagram-Check}/01-Anagram Check .ipynb (100%)
 rename 02-Array Sequences/Array Sequences Interview Questions/{Array Sequence Interview Questions - SOLUTIONS => 02-Array-Pair-Sum}/02-Array Pair Sum - SOLUTION.ipynb (100%)
 rename 02-Array Sequences/Array Sequences Interview Questions/{Array Sequence Interview Questions => 02-Array-Pair-Sum}/02-Array Pair Sum .ipynb (100%)
 rename 02-Array Sequences/Array Sequences Interview Questions/{Array Sequence Interview Questions - SOLUTIONS => 03-Finding-the-Missing-Element}/03-Find the Missing Element - SOLUTION.ipynb (100%)
 rename 02-Array Sequences/Array Sequences Interview Questions/{Array Sequence Interview Questions => 03-Finding-the-Missing-Element}/03-Find the Missing Element .ipynb (100%)
 rename 02-Array Sequences/Array Sequences Interview Questions/{Array Sequence Interview Questions - SOLUTIONS => 04-Largest-Continuous-Sum}/04-Largest Continuous Sum - SOLUTION.ipynb (100%)
 rename 02-Array Sequences/Array Sequences Interview Questions/{Array Sequence Interview Questions => 04-Largest-Continuous-Sum}/04-Largest Continuous Sum .ipynb (100%)
 rename 02-Array Sequences/Array Sequences Interview Questions/{Array Sequence Interview Questions - SOLUTIONS => 05-Sentence-Reversal}/05-Sentence Reversal - SOLUTION.ipynb (100%)
 rename 02-Array Sequences/Array Sequences Interview Questions/{Array Sequence Interview Questions => 05-Sentence-Reversal}/05-Sentence Reversal.ipynb (100%)
 rename 02-Array Sequences/Array Sequences Interview Questions/{Array Sequence Interview Questions - SOLUTIONS => 06-String-Compression}/06-String Compression -SOLUTION.ipynb (100%)
 rename 02-Array Sequences/Array Sequences Interview Questions/{Array Sequence Interview Questions => 06-String-Compression}/06-String Compression .ipynb (100%)
 rename 02-Array Sequences/Array Sequences Interview Questions/{Array Sequence Interview Questions - SOLUTIONS => 07-Unique-Characters-in-String}/07-Unique Characters in String - SOLUTION.ipynb (100%)
 rename 02-Array Sequences/Array Sequences Interview Questions/{Array Sequence Interview Questions => 07-Unique-Characters-in-String}/07-Unique Characters in String.ipynb (100%)
 delete mode 100644 02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/.ipynb_checkpoints/01-Anagram Check -checkpoint.ipynb
 delete mode 100644 02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/.ipynb_checkpoints/02-Array Pair Sum -checkpoint.ipynb
 delete mode 100644 02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/.ipynb_checkpoints/03-Find the Missing Element -checkpoint.ipynb
 delete mode 100644 02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/.ipynb_checkpoints/04-Largest Continuous Sum -checkpoint.ipynb
 delete mode 100644 02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/.ipynb_checkpoints/05-Sentence Reversal-checkpoint.ipynb
 delete mode 100644 02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/.ipynb_checkpoints/06-String Compression -checkpoint.ipynb
 delete mode 100644 02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/.ipynb_checkpoints/07-Unique Characters in String-checkpoint.ipynb
 delete mode 100644 02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/.ipynb_checkpoints/Anagram Check -checkpoint.ipynb
 delete mode 100644 02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/.ipynb_checkpoints/Array Pair Sum -checkpoint.ipynb
 delete mode 100644 02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/.ipynb_checkpoints/Find the Missing Element -checkpoint.ipynb
 delete mode 100644 02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/.ipynb_checkpoints/Largest Continuous Sum -checkpoint.ipynb
 delete mode 100644 02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/.ipynb_checkpoints/Sentence Reversal-checkpoint.ipynb
 delete mode 100644 02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/.ipynb_checkpoints/String Compression -checkpoint.ipynb
 delete mode 100644 02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/.ipynb_checkpoints/Unique Characters in String-checkpoint.ipynb
 delete mode 100644 02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/01-Anagram Check .ipynb
 delete mode 100644 02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/02-Array Pair Sum .ipynb
 delete mode 100644 02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/03-Find the Missing Element .ipynb
 delete mode 100644 02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/04-Largest Continuous Sum .ipynb
 delete mode 100644 02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/05-Sentence Reversal.ipynb
 delete mode 100644 02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/06-String Compression .ipynb
 delete mode 100644 02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/07-Unique Characters in String.ipynb
 delete mode 100644 02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/.ipynb_checkpoints/01-Anagram Check - SOLUTION-checkpoint.ipynb
 delete mode 100644 02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/.ipynb_checkpoints/02-Array Pair Sum - SOLUTION-checkpoint.ipynb
 delete mode 100644 02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/.ipynb_checkpoints/03-Find the Missing Element - SOLUTION-checkpoint.ipynb
 delete mode 100644 02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/.ipynb_checkpoints/04-Largest Continuous Sum - SOLUTION-checkpoint.ipynb
 delete mode 100644 02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/.ipynb_checkpoints/05-Sentence Reversal - SOLUTION-checkpoint.ipynb
 delete mode 100644 02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/.ipynb_checkpoints/06-String Compression -SOLUTION-checkpoint.ipynb
 delete mode 100644 02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/.ipynb_checkpoints/07-Unique Characters in String - SOLUTION-checkpoint.ipynb
 delete mode 100644 02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/.ipynb_checkpoints/Anagram Check - SOLUTION-checkpoint.ipynb
 delete mode 100644 02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/.ipynb_checkpoints/Array Pair Sum - SOLUTION-checkpoint.ipynb
 delete mode 100644 02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/.ipynb_checkpoints/Find the Missing Element - SOLUTION-checkpoint.ipynb
 delete mode 100644 02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/.ipynb_checkpoints/Largest Continuous Sum - SOLUTION-checkpoint.ipynb
 delete mode 100644 02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/.ipynb_checkpoints/Sentence Reversal - SOLUTION-checkpoint.ipynb
 delete mode 100644 02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/.ipynb_checkpoints/String Compression -SOLUTION-checkpoint.ipynb
 delete mode 100644 02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/.ipynb_checkpoints/Unique Characters in String - SOLUTION-checkpoint.ipynb
 delete mode 100644 02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions/.ipynb_checkpoints/01-Anagram Check -checkpoint.ipynb
 delete mode 100644 02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions/.ipynb_checkpoints/02-Array Pair Sum -checkpoint.ipynb
 delete mode 100644 02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions/.ipynb_checkpoints/03-Find the Missing Element -checkpoint.ipynb
 delete mode 100644 02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions/.ipynb_checkpoints/04-Largest Continuous Sum -checkpoint.ipynb
 delete mode 100644 02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions/.ipynb_checkpoints/05-Sentence Reversal-checkpoint.ipynb
 delete mode 100644 02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions/.ipynb_checkpoints/06-String Compression -checkpoint.ipynb
 delete mode 100644 02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions/.ipynb_checkpoints/07-Unique Characters in String-checkpoint.ipynb
 rename 03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/{Stacks, Queues, Deques Interview Questions -SOLUTIONS => 01-Implement-a-Stack}/01-Implement a Stack - SOLUTION.ipynb (100%)
 rename 03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/{Stacks, Queues, Deques Interview Questions  => 01-Implement-a-Stack}/01-Implement a Stack .ipynb (100%)
 rename 03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/{Stacks, Queues, Deques Interview Questions -SOLUTIONS => 02-Implement-a-Queue}/02-Implement a Queue - SOLUTION.ipynb (100%)
 rename 03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/{Stacks, Queues, Deques Interview Questions  => 02-Implement-a-Queue}/02-Implement a Queue.ipynb (100%)
 rename 03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/{Stacks, Queues, Deques Interview Questions -SOLUTIONS => 03-Implement-a-Deque}/03-Implement a Deque - SOLUTION.ipynb (100%)
 rename 03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/{Stacks, Queues, Deques Interview Questions  => 03-Implement-a-Deque}/03-Implement a Deque .ipynb (100%)
 rename 03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/{Stacks, Queues, Deques Interview Questions -SOLUTIONS => 04-Balanced-Parantheses-Check}/04-Balanced Parentheses Check - SOLUTION.ipynb (100%)
 rename 03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/{Stacks, Queues, Deques Interview Questions  => 04-Balanced-Parantheses-Check}/04-Balanced Parentheses Check .ipynb (100%)
 rename 03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/{Stacks, Queues, Deques Interview Questions -SOLUTIONS => 05-Implement-a-Queue-Using-Two-Stacks}/05-Implement a Queue -Using Two Stacks - SOLUTION.ipynb (100%)
 rename 03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/{Stacks, Queues, Deques Interview Questions  => 05-Implement-a-Queue-Using-Two-Stacks}/05-Implement a Queue -Using Two Stacks .ipynb (100%)
 delete mode 100644 03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions  - PRACTICE/.ipynb_checkpoints/01-Implement a Stack -checkpoint.ipynb
 delete mode 100644 03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions  - PRACTICE/.ipynb_checkpoints/02-Implement a Queue-checkpoint.ipynb
 delete mode 100644 03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions  - PRACTICE/.ipynb_checkpoints/03-Implement a Deque -checkpoint.ipynb
 delete mode 100644 03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions  - PRACTICE/.ipynb_checkpoints/04-Balanced Parentheses Check -checkpoint.ipynb
 delete mode 100644 03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions  - PRACTICE/.ipynb_checkpoints/05-Implement a Queue -Using Two Stacks -checkpoint.ipynb
 delete mode 100644 03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions  - PRACTICE/.ipynb_checkpoints/Balanced Parentheses Check -checkpoint.ipynb
 delete mode 100644 03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions  - PRACTICE/.ipynb_checkpoints/Implement a Deque -checkpoint.ipynb
 delete mode 100644 03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions  - PRACTICE/.ipynb_checkpoints/Implement a Queue -Using Two Stacks -checkpoint.ipynb
 delete mode 100644 03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions  - PRACTICE/.ipynb_checkpoints/Implement a Queue-checkpoint.ipynb
 delete mode 100644 03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions  - PRACTICE/.ipynb_checkpoints/Implement a Stack -checkpoint.ipynb
 delete mode 100644 03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions  - PRACTICE/01-Implement a Stack .ipynb
 delete mode 100644 03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions  - PRACTICE/02-Implement a Queue.ipynb
 delete mode 100644 03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions  - PRACTICE/03-Implement a Deque .ipynb
 delete mode 100644 03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions  - PRACTICE/04-Balanced Parentheses Check .ipynb
 delete mode 100644 03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions  - PRACTICE/05-Implement a Queue -Using Two Stacks .ipynb
 delete mode 100644 03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions -SOLUTIONS/.ipynb_checkpoints/01-Implement a Stack - SOLUTION-checkpoint.ipynb
 delete mode 100644 03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions -SOLUTIONS/.ipynb_checkpoints/02-Implement a Queue - SOLUTION-checkpoint.ipynb
 delete mode 100644 03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions -SOLUTIONS/.ipynb_checkpoints/03-Implement a Deque - SOLUTION-checkpoint.ipynb
 delete mode 100644 03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions -SOLUTIONS/.ipynb_checkpoints/04-Balanced Parentheses Check - SOLUTION-checkpoint.ipynb
 delete mode 100644 03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions -SOLUTIONS/.ipynb_checkpoints/05-Implement a Queue -Using Two Stacks - SOLUTION-checkpoint.ipynb
 delete mode 100644 03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions -SOLUTIONS/.ipynb_checkpoints/Balanced Parentheses Check - SOLUTION-checkpoint.ipynb
 delete mode 100644 03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions -SOLUTIONS/.ipynb_checkpoints/Implement a Deque - SOLUTION-checkpoint.ipynb
 delete mode 100644 03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions -SOLUTIONS/.ipynb_checkpoints/Implement a Queue - SOLUTION-checkpoint.ipynb
 delete mode 100644 03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions -SOLUTIONS/.ipynb_checkpoints/Implement a Queue -Using Two Stacks - SOLUTION-checkpoint.ipynb
 delete mode 100644 03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions -SOLUTIONS/.ipynb_checkpoints/Implement a Stack - SOLUTION-checkpoint.ipynb
 delete mode 100644 03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions /.ipynb_checkpoints/01-Implement a Stack -checkpoint.ipynb
 delete mode 100644 03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions /.ipynb_checkpoints/02-Implement a Queue-checkpoint.ipynb
 delete mode 100644 03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions /.ipynb_checkpoints/03-Implement a Deque -checkpoint.ipynb
 delete mode 100644 03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions /.ipynb_checkpoints/04-Balanced Parentheses Check -checkpoint.ipynb
 delete mode 100644 03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions /.ipynb_checkpoints/05-Implement a Queue -Using Two Stacks -checkpoint.ipynb
 delete mode 100644 03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions /.ipynb_checkpoints/Implement a Stack -checkpoint.ipynb
 rename 04-Linked Lists/Linked Lists Interview Problems/{Linked List Interview Problems - SOLUTIONS => 01-Singly-Linked-List-Cycle-Check}/01-Singly Linked List Cycle Check - SOLUTION.ipynb (100%)
 rename 04-Linked Lists/Linked Lists Interview Problems/{Linked List Interview Problems  => 01-Singly-Linked-List-Cycle-Check}/01-Singly Linked List Cycle Check.ipynb (100%)
 rename 04-Linked Lists/Linked Lists Interview Problems/{Linked List Interview Problems - SOLUTIONS => 02-Linked-List-Reversal}/02-Linked List Reversal - SOLUTION.ipynb (100%)
 rename 04-Linked Lists/Linked Lists Interview Problems/{Linked List Interview Problems  => 02-Linked-List-Reversal}/02-Linked List Reversal .ipynb (100%)
 rename 04-Linked Lists/Linked Lists Interview Problems/{Linked List Interview Problems - SOLUTIONS => 03-Linked-List-Nth-to-Last-Node}/03-Linked List Nth to Last Node - SOLUTION.ipynb (100%)
 rename 04-Linked Lists/Linked Lists Interview Problems/{Linked List Interview Problems  => 03-Linked-List-Nth-to-Last-Node}/03-Linked List Nth to Last Node .ipynb (100%)
 rename 04-Linked Lists/Linked Lists Interview Problems/{Linked List Interview Problems  => 04-Implement-a-Doubly-Linked-List}/04-Implement a Doubly Linked List.ipynb (100%)
 rename 04-Linked Lists/Linked Lists Interview Problems/{Linked List Interview Problems - SOLUTIONS => 04-Implement-a-Doubly-Linked-List}/04-Implement a Linked List -SOLUTION.ipynb (100%)
 rename 04-Linked Lists/Linked Lists Interview Problems/{Linked List Interview Problems /.ipynb_checkpoints/04-Implement a Singly Linked List-checkpoint.ipynb => 05-Implement-a-Singly-Linked-List/05-Implement a Singly Linked List.ipynb} (100%)
 delete mode 100644 04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems  - PRACTICE/.ipynb_checkpoints/01-Singly Linked List Cycle Check-checkpoint.ipynb
 delete mode 100644 04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems  - PRACTICE/.ipynb_checkpoints/02-Linked List Reversal -checkpoint.ipynb
 delete mode 100644 04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems  - PRACTICE/.ipynb_checkpoints/03-Linked List Nth to Last Node -checkpoint.ipynb
 delete mode 100644 04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems  - PRACTICE/.ipynb_checkpoints/04-Implement a Doubly Linked List-checkpoint.ipynb
 delete mode 100644 04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems  - PRACTICE/.ipynb_checkpoints/04-Implement a Singly Linked List-checkpoint.ipynb
 delete mode 100644 04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems  - PRACTICE/.ipynb_checkpoints/Implement a Doubly Linked List-checkpoint.ipynb
 delete mode 100644 04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems  - PRACTICE/.ipynb_checkpoints/Implement a Singly Linked List-checkpoint.ipynb
 delete mode 100644 04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems  - PRACTICE/.ipynb_checkpoints/Linked List Nth to Last Node -checkpoint.ipynb
 delete mode 100644 04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems  - PRACTICE/.ipynb_checkpoints/Linked List Reversal -checkpoint.ipynb
 delete mode 100644 04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems  - PRACTICE/.ipynb_checkpoints/Singly Linked List Cycle Check-checkpoint.ipynb
 delete mode 100644 04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems  - PRACTICE/01-Singly Linked List Cycle Check.ipynb
 delete mode 100644 04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems  - PRACTICE/02-Linked List Reversal .ipynb
 delete mode 100644 04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems  - PRACTICE/03-Linked List Nth to Last Node .ipynb
 delete mode 100644 04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems  - PRACTICE/04-Implement a Doubly Linked List.ipynb
 delete mode 100644 04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems  - PRACTICE/04-Implement a Singly Linked List.ipynb
 delete mode 100644 04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems - SOLUTIONS/.ipynb_checkpoints/01-Singly Linked List Cycle Check - SOLUTION-checkpoint.ipynb
 delete mode 100644 04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems - SOLUTIONS/.ipynb_checkpoints/02-Linked List Reversal - SOLUTION-checkpoint.ipynb
 delete mode 100644 04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems - SOLUTIONS/.ipynb_checkpoints/03-Linked List Nth to Last Node - SOLUTION-checkpoint.ipynb
 delete mode 100644 04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems - SOLUTIONS/.ipynb_checkpoints/04-Implement a Linked List -SOLUTION-checkpoint.ipynb
 delete mode 100644 04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems - SOLUTIONS/.ipynb_checkpoints/Implement a Linked List -SOLUTION-checkpoint.ipynb
 delete mode 100644 04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems - SOLUTIONS/.ipynb_checkpoints/Linked List Nth to Last Node - SOLUTION-checkpoint.ipynb
 delete mode 100644 04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems - SOLUTIONS/.ipynb_checkpoints/Linked List Reversal - SOLUTION-checkpoint.ipynb
 delete mode 100644 04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems - SOLUTIONS/.ipynb_checkpoints/Singly Linked List Cycle Check - SOLUTION-checkpoint.ipynb
 delete mode 100644 04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems /.ipynb_checkpoints/01-Singly Linked List Cycle Check-checkpoint.ipynb
 delete mode 100644 04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems /.ipynb_checkpoints/02-Linked List Reversal -checkpoint.ipynb
 delete mode 100644 04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems /.ipynb_checkpoints/03-Linked List Nth to Last Node -checkpoint.ipynb
 delete mode 100644 04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems /04-Implement a Singly Linked List.ipynb
 rename 05-Recursion/Recursion Interview Problems/{Recursion Problems -  SOLUTIONS => 01-Reverse-String}/01-Reverse String - SOLUTION.ipynb (100%)
 rename 05-Recursion/Recursion Interview Problems/{Recursion Problems => 01-Reverse-String}/01-Reverse String .ipynb (100%)
 rename 05-Recursion/Recursion Interview Problems/{Recursion Problems -  SOLUTIONS => 02-String-Permutation}/02-String Permutation- SOLUTION.ipynb (100%)
 rename 05-Recursion/Recursion Interview Problems/{Recursion Problems => 02-String-Permutation}/02-String Permutation.ipynb (100%)
 rename 05-Recursion/Recursion Interview Problems/{Recursion Problems -  SOLUTIONS => 03-Fibonacci-Sequence}/03-Fibonacci Sequence - SOLUTION.ipynb (100%)
 rename 05-Recursion/Recursion Interview Problems/{Recursion Problems => 03-Fibonacci-Sequence}/03-Fibonacci Sequence.ipynb (100%)
 rename 05-Recursion/Recursion Interview Problems/{Recursion Problems -  SOLUTIONS => 04-Coin-Change}/04-Coin Change - SOLUTION.ipynb (100%)
 rename 05-Recursion/Recursion Interview Problems/{Recursion Problems => 04-Coin-Change}/04-Coin Change.ipynb (100%)
 delete mode 100644 05-Recursion/Recursion Interview Problems/Recursion Problems -  SOLUTIONS/.ipynb_checkpoints/01-Reverse String - SOLUTION-checkpoint.ipynb
 delete mode 100644 05-Recursion/Recursion Interview Problems/Recursion Problems -  SOLUTIONS/.ipynb_checkpoints/02-String Permutation- SOLUTION-checkpoint.ipynb
 delete mode 100644 05-Recursion/Recursion Interview Problems/Recursion Problems -  SOLUTIONS/.ipynb_checkpoints/03-Fibonacci Sequence - SOLUTION-checkpoint.ipynb
 delete mode 100644 05-Recursion/Recursion Interview Problems/Recursion Problems -  SOLUTIONS/.ipynb_checkpoints/04-Coin Change - SOLUTION-checkpoint.ipynb
 delete mode 100644 05-Recursion/Recursion Interview Problems/Recursion Problems - PRACTICE/.ipynb_checkpoints/01-Reverse String -checkpoint.ipynb
 delete mode 100644 05-Recursion/Recursion Interview Problems/Recursion Problems - PRACTICE/.ipynb_checkpoints/02-String Permutation-checkpoint.ipynb
 delete mode 100644 05-Recursion/Recursion Interview Problems/Recursion Problems - PRACTICE/.ipynb_checkpoints/03-Fibonacci Sequence-checkpoint.ipynb
 delete mode 100644 05-Recursion/Recursion Interview Problems/Recursion Problems - PRACTICE/.ipynb_checkpoints/04-Coin Change-checkpoint.ipynb
 delete mode 100644 05-Recursion/Recursion Interview Problems/Recursion Problems - PRACTICE/.ipynb_checkpoints/Recursion Problem 2 - String Permutations-checkpoint.ipynb
 delete mode 100644 05-Recursion/Recursion Interview Problems/Recursion Problems - PRACTICE/01-Reverse String .ipynb
 delete mode 100644 05-Recursion/Recursion Interview Problems/Recursion Problems - PRACTICE/02-String Permutation.ipynb
 delete mode 100644 05-Recursion/Recursion Interview Problems/Recursion Problems - PRACTICE/03-Fibonacci Sequence.ipynb
 delete mode 100644 05-Recursion/Recursion Interview Problems/Recursion Problems - PRACTICE/04-Coin Change.ipynb
 delete mode 100644 05-Recursion/Recursion Interview Problems/Recursion Problems/.ipynb_checkpoints/01-Reverse String -checkpoint.ipynb
 delete mode 100644 05-Recursion/Recursion Interview Problems/Recursion Problems/.ipynb_checkpoints/02-String Permutation-checkpoint.ipynb
 delete mode 100644 05-Recursion/Recursion Interview Problems/Recursion Problems/.ipynb_checkpoints/03-Fibonacci Sequence-checkpoint.ipynb
 delete mode 100644 05-Recursion/Recursion Interview Problems/Recursion Problems/.ipynb_checkpoints/04-Coin Change-checkpoint.ipynb
 delete mode 100644 05-Recursion/Recursion Interview Problems/Recursion Problems/.ipynb_checkpoints/Recursion Problem 2 - String Permutations-checkpoint.ipynb
 delete mode 100644 06-Trees/Trees Interview Problems - PRACTICE/.ipynb_checkpoints/01-Binary Search Tree Check-checkpoint.ipynb
 delete mode 100644 06-Trees/Trees Interview Problems - PRACTICE/.ipynb_checkpoints/02-Tree Level Order Print-checkpoint.ipynb
 delete mode 100644 06-Trees/Trees Interview Problems - PRACTICE/.ipynb_checkpoints/03-Trim a Binary Search Tree -checkpoint.ipynb
 delete mode 100644 06-Trees/Trees Interview Problems - PRACTICE/01-Binary Search Tree Check.ipynb
 delete mode 100644 06-Trees/Trees Interview Problems - PRACTICE/02-Tree Level Order Print.ipynb
 delete mode 100644 06-Trees/Trees Interview Problems - PRACTICE/Node.py
 delete mode 100644 06-Trees/Trees Interview Problems - SOLUTIONS/.ipynb_checkpoints/01-Binary Search Tree Check - SOLUTION-checkpoint.ipynb
 delete mode 100644 06-Trees/Trees Interview Problems - SOLUTIONS/bst1.png
 delete mode 100644 06-Trees/Trees Interview Problems - SOLUTIONS/bst_trim.png
 delete mode 100644 06-Trees/Trees Interview Problems - SOLUTIONS/tree_print.png
 rename 06-Trees/{Trees Interview Problems - SOLUTIONS => Trees Interview Problems/01-Binary-Search-Tree-Check}/01-Binary Search Tree Check - SOLUTION.ipynb (100%)
 rename 06-Trees/Trees Interview Problems/{ => 01-Binary-Search-Tree-Check}/01-Binary Search Tree Check.ipynb (100%)
 rename 06-Trees/{Trees Interview Problems - SOLUTIONS => Trees Interview Problems/02-Tree-Level-Order-Print}/.ipynb_checkpoints/02-Tree Level Order Print - SOLUTION-checkpoint.ipynb (100%)
 rename 06-Trees/Trees Interview Problems/{02-Tree Level Order Print.ipynb => 02-Tree-Level-Order-Print/.ipynb_checkpoints/02-Tree Level Order Print-checkpoint.ipynb} (100%)
 rename 06-Trees/{Trees Interview Problems - SOLUTIONS => Trees Interview Problems/02-Tree-Level-Order-Print}/02-Tree Level Order Print - SOLUTION.ipynb (100%)
 rename 04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems /.ipynb_checkpoints/04-Implement a Doubly Linked List-checkpoint.ipynb => 06-Trees/Trees Interview Problems/02-Tree-Level-Order-Print/02-Tree Level Order Print.ipynb (57%)
 rename 06-Trees/{Trees Interview Problems - PRACTICE => Trees Interview Problems/02-Tree-Level-Order-Print}/tree_print.png (100%)
 rename 06-Trees/Trees Interview Problems/{03-Trim a Binary Search Tree .ipynb => 03-Trim-a-Binary-Search-Tree/.ipynb_checkpoints/03-Trim a Binary Search Tree -checkpoint.ipynb} (100%)
 rename 06-Trees/{Trees Interview Problems - SOLUTIONS => Trees Interview Problems/03-Trim-a-Binary-Search-Tree}/.ipynb_checkpoints/03Trim a Binary Search Tree - SOLUTION-checkpoint.ipynb (100%)
 rename 06-Trees/{Trees Interview Problems - PRACTICE => Trees Interview Problems/03-Trim-a-Binary-Search-Tree}/03-Trim a Binary Search Tree .ipynb (70%)
 rename 06-Trees/{Trees Interview Problems - SOLUTIONS => Trees Interview Problems/03-Trim-a-Binary-Search-Tree}/03Trim a Binary Search Tree - SOLUTION.ipynb (100%)
 rename 06-Trees/{Trees Interview Problems - PRACTICE => Trees Interview Problems/03-Trim-a-Binary-Search-Tree}/bst1.png (100%)
 rename 06-Trees/{Trees Interview Problems - PRACTICE => Trees Interview Problems/03-Trim-a-Binary-Search-Tree}/bst_trim.png (100%)
 delete mode 100644 06-Trees/Trees Interview Problems/bst1.png
 delete mode 100644 06-Trees/Trees Interview Problems/bst_trim.png
 delete mode 100644 06-Trees/Trees Interview Problems/tree_print.png
 delete mode 100644 08-Graphs/Graph Interview Questions - PRACTICE/.ipynb_checkpoints/01-Implement a Graph-checkpoint.ipynb
 delete mode 100644 08-Graphs/Graph Interview Questions - PRACTICE/.ipynb_checkpoints/02-Implement Depth First Search Algorithm-checkpoint.ipynb
 delete mode 100644 08-Graphs/Graph Interview Questions - PRACTICE/.ipynb_checkpoints/03-Implement Breadth First Search Algorithm-checkpoint.ipynb
 delete mode 100644 08-Graphs/Graph Interview Questions - PRACTICE/01-Implement a Graph.ipynb
 delete mode 100644 08-Graphs/Graph Interview Questions - PRACTICE/02-Implement Depth First Search Algorithm.ipynb
 delete mode 100644 08-Graphs/Graph Interview Questions - PRACTICE/03-Implement Breadth First Search Algorithm.ipynb
 rename 09-Riddles/Riddle Interview Problems/{Riddle Interview Problems - SOLUTIONS => 01-Bridge-Crossing}/01-Bridge Crossing - SOLUTION.ipynb (100%)
 rename 09-Riddles/Riddle Interview Problems/{Riddle Interview Problems  => 01-Bridge-Crossing}/01-Bridge Crossing.ipynb (100%)
 rename 09-Riddles/Riddle Interview Problems/{Riddle Interview Problems - SOLUTIONS => 02-Coins-and-a-Scale}/02-Coins and a Scale - SOLUTION.ipynb (100%)
 rename 09-Riddles/Riddle Interview Problems/{Riddle Interview Problems  => 02-Coins-and-a-Scale}/02-Coins and a Scale .ipynb (100%)
 rename 09-Riddles/Riddle Interview Problems/{Riddle Interview Problems - SOLUTIONS => 03-Egg-Drop}/03-Egg Drop - SOLUTION.ipynb (100%)
 rename 09-Riddles/Riddle Interview Problems/{Riddle Interview Problems  => 03-Egg-Drop}/03-Egg Drop .ipynb (100%)
 rename 09-Riddles/Riddle Interview Problems/{Riddle Interview Problems - SOLUTIONS => 04-Hallway-Lockers}/04-Hallway Lockers -SOLUTION.ipynb (100%)
 rename 09-Riddles/Riddle Interview Problems/{Riddle Interview Problems  => 04-Hallway-Lockers}/04-Hallway Lockers.ipynb (100%)
 rename 09-Riddles/Riddle Interview Problems/{Riddle Interview Problems - SOLUTIONS => 05-Jugs-of-Water}/05-Jugs of Water - SOLUTION.ipynb (100%)
 rename 09-Riddles/Riddle Interview Problems/{Riddle Interview Problems  => 05-Jugs-of-Water}/05-Jugs of Water .ipynb (100%)
 rename 09-Riddles/Riddle Interview Problems/{Riddle Interview Problems - SOLUTIONS => 06-Light-Switches}/06-Light Switches - SOLUTION.ipynb (100%)
 rename 09-Riddles/Riddle Interview Problems/{Riddle Interview Problems  => 06-Light-Switches}/06-Light Switches .ipynb (100%)
 rename 09-Riddles/Riddle Interview Problems/{Riddle Interview Problems - SOLUTIONS => 07-Ropes-Burning}/07-Ropes Burning - SOLUTION.ipynb (100%)
 rename 09-Riddles/Riddle Interview Problems/{Riddle Interview Problems  => 07-Ropes-Burning}/07-Ropes Burning.ipynb (100%)
 delete mode 100644 09-Riddles/Riddle Interview Problems/Riddle Interview Problems - SOLUTIONS/.ipynb_checkpoints/01-Bridge Crossing - SOLUTION-checkpoint.ipynb
 delete mode 100644 09-Riddles/Riddle Interview Problems/Riddle Interview Problems - SOLUTIONS/.ipynb_checkpoints/02-Coins and a Scale - SOLUTION-checkpoint.ipynb
 delete mode 100644 09-Riddles/Riddle Interview Problems/Riddle Interview Problems - SOLUTIONS/.ipynb_checkpoints/03-Egg Drop - SOLUTION-checkpoint.ipynb
 delete mode 100644 09-Riddles/Riddle Interview Problems/Riddle Interview Problems - SOLUTIONS/.ipynb_checkpoints/04-Hallway Lockers -SOLUTION-checkpoint.ipynb
 delete mode 100644 09-Riddles/Riddle Interview Problems/Riddle Interview Problems - SOLUTIONS/.ipynb_checkpoints/05-Jugs of Water - SOLUTION-checkpoint.ipynb
 delete mode 100644 09-Riddles/Riddle Interview Problems/Riddle Interview Problems - SOLUTIONS/.ipynb_checkpoints/06-Light Switches - SOLUTION-checkpoint.ipynb
 delete mode 100644 09-Riddles/Riddle Interview Problems/Riddle Interview Problems - SOLUTIONS/.ipynb_checkpoints/07-Ropes Burning - SOLUTION-checkpoint.ipynb
 delete mode 100644 09-Riddles/Riddle Interview Problems/Riddle Interview Problems /.ipynb_checkpoints/01-Bridge Crossing-checkpoint.ipynb
 delete mode 100644 09-Riddles/Riddle Interview Problems/Riddle Interview Problems /.ipynb_checkpoints/02-Coins and a Scale -checkpoint.ipynb
 delete mode 100644 09-Riddles/Riddle Interview Problems/Riddle Interview Problems /.ipynb_checkpoints/03-Egg Drop -checkpoint.ipynb
 delete mode 100644 09-Riddles/Riddle Interview Problems/Riddle Interview Problems /.ipynb_checkpoints/04-Hallway Lockers-checkpoint.ipynb
 delete mode 100644 09-Riddles/Riddle Interview Problems/Riddle Interview Problems /.ipynb_checkpoints/05-Jugs of Water -checkpoint.ipynb
 delete mode 100644 09-Riddles/Riddle Interview Problems/Riddle Interview Problems /.ipynb_checkpoints/06-Light Switches -checkpoint.ipynb
 delete mode 100644 09-Riddles/Riddle Interview Problems/Riddle Interview Problems /.ipynb_checkpoints/07-Ropes Burning-checkpoint.ipynb
 rename 10-Mock Interviews/01-Large E-Commerce Company/{E-Commerce Company - Interview Problems - SOLUTIONS => 01-On-Site-Question-1}/01-On-Site Question 1 - SOLUTION.ipynb (100%)
 rename 10-Mock Interviews/01-Large E-Commerce Company/{E-Commerce Company - Interview Problems => 01-On-Site-Question-1}/01-On-Site Question 1.ipynb (100%)
 rename 10-Mock Interviews/01-Large E-Commerce Company/{E-Commerce Company - Interview Problems - SOLUTIONS => 02-On-Site-Question-2}/02-On-Site Question 2 - SOLUTION.ipynb (100%)
 rename 10-Mock Interviews/01-Large E-Commerce Company/{E-Commerce Company - Interview Problems => 02-On-Site-Question-2}/02-On-Site Question 2 .ipynb (100%)
 rename 10-Mock Interviews/01-Large E-Commerce Company/{E-Commerce Company - Interview Problems - SOLUTIONS => 03-On-Site-Question-3}/03-On-Site Question 3 - SOLUTION.ipynb (100%)
 rename 10-Mock Interviews/01-Large E-Commerce Company/{E-Commerce Company - Interview Problems => 03-On-Site-Question-3}/03-On-Site Question 3.ipynb (100%)
 rename 10-Mock Interviews/01-Large E-Commerce Company/{E-Commerce Company - Interview Problems - SOLUTIONS => 04-Phone-Screen}/04-Phone Screen - SOLUTION.ipynb (100%)
 rename 10-Mock Interviews/01-Large E-Commerce Company/{E-Commerce Company - Interview Problems => 04-Phone-Screen}/04-Phone Screen .ipynb (100%)
 delete mode 100644 10-Mock Interviews/01-Large E-Commerce Company/E-Commerce Company - Interview Problems - SOLUTIONS/.ipynb_checkpoints/01-On-Site Question 1 - SOLUTION-checkpoint.ipynb
 delete mode 100644 10-Mock Interviews/01-Large E-Commerce Company/E-Commerce Company - Interview Problems - SOLUTIONS/.ipynb_checkpoints/02-On-Site Question 2 - SOLUTION-checkpoint.ipynb
 delete mode 100644 10-Mock Interviews/01-Large E-Commerce Company/E-Commerce Company - Interview Problems - SOLUTIONS/.ipynb_checkpoints/03-On-Site Question 3 - SOLUTION-checkpoint.ipynb
 delete mode 100644 10-Mock Interviews/01-Large E-Commerce Company/E-Commerce Company - Interview Problems - SOLUTIONS/.ipynb_checkpoints/04-Phone Screen - SOLUTION-checkpoint.ipynb
 delete mode 100644 10-Mock Interviews/01-Large E-Commerce Company/E-Commerce Company - Interview Problems/.ipynb_checkpoints/01-On-Site Question 1-checkpoint.ipynb
 delete mode 100644 10-Mock Interviews/01-Large E-Commerce Company/E-Commerce Company - Interview Problems/.ipynb_checkpoints/02-On-Site Question 2 -checkpoint.ipynb
 delete mode 100644 10-Mock Interviews/01-Large E-Commerce Company/E-Commerce Company - Interview Problems/.ipynb_checkpoints/03-On-Site Question 3-checkpoint.ipynb
 delete mode 100644 10-Mock Interviews/01-Large E-Commerce Company/E-Commerce Company - Interview Problems/.ipynb_checkpoints/04-Phone Screen -checkpoint.ipynb
 rename 10-Mock Interviews/02-Large Search Engine Company /{Search Engine Company - Interview Problems - SOLUTIONS => 01-On-Site-Question-1}/01-On-Site Question 1 - SOLUTION.ipynb (100%)
 rename 10-Mock Interviews/02-Large Search Engine Company /{Search Engine Company - Interview Problems => 01-On-Site-Question-1}/01-On-Site Question 1 .ipynb (100%)
 rename 10-Mock Interviews/02-Large Search Engine Company /{Search Engine Company - Interview Problems - SOLUTIONS => 02-On-Site-Question-2}/02-On-Site Question 2 - SOLUTION.ipynb (100%)
 rename 10-Mock Interviews/02-Large Search Engine Company /{Search Engine Company - Interview Problems => 02-On-Site-Question-2}/02-On-Site Question 2 .ipynb (100%)
 rename 10-Mock Interviews/02-Large Search Engine Company /{Search Engine Company - Interview Problems - SOLUTIONS => 03-On-Site-Question-3}/03-On-Site Question 3 -SOLUTION.ipynb (100%)
 rename 10-Mock Interviews/02-Large Search Engine Company /{Search Engine Company - Interview Problems => 03-On-Site-Question-3}/03-On-Site Question 3 .ipynb (100%)
 rename 10-Mock Interviews/02-Large Search Engine Company /{Search Engine Company - Interview Problems - SOLUTIONS => 04-On-Site-Question-4}/04-On-Site Question 4 - SOLUTION.ipynb (100%)
 rename 10-Mock Interviews/02-Large Search Engine Company /{Search Engine Company - Interview Problems => 04-On-Site-Question-4}/04-On-Site Question 4 .ipynb (100%)
 rename 10-Mock Interviews/02-Large Search Engine Company /{Search Engine Company - Interview Problems - SOLUTIONS/.ipynb_checkpoints/05-Phone Screen-checkpoint.ipynb => 05-Phone-Screen/05-Phone Screen-Solutions.ipynb} (100%)
 rename 10-Mock Interviews/02-Large Search Engine Company /{Search Engine Company - Interview Problems => 05-Phone-Screen}/05-Phone Screen.ipynb (100%)
 delete mode 100644 10-Mock Interviews/02-Large Search Engine Company /Search Engine Company - Interview Problems - SOLUTIONS/.ipynb_checkpoints/01-On-Site Question 1 - SOLUTION-checkpoint.ipynb
 delete mode 100644 10-Mock Interviews/02-Large Search Engine Company /Search Engine Company - Interview Problems - SOLUTIONS/.ipynb_checkpoints/02-On-Site Question 2 - SOLUTION-checkpoint.ipynb
 delete mode 100644 10-Mock Interviews/02-Large Search Engine Company /Search Engine Company - Interview Problems - SOLUTIONS/.ipynb_checkpoints/03-On-Site Question 3 -SOLUTION-checkpoint.ipynb
 delete mode 100644 10-Mock Interviews/02-Large Search Engine Company /Search Engine Company - Interview Problems - SOLUTIONS/.ipynb_checkpoints/04-On-Site Question 4 - SOLUTION-checkpoint.ipynb
 delete mode 100644 10-Mock Interviews/02-Large Search Engine Company /Search Engine Company - Interview Problems - SOLUTIONS/05-Phone Screen.ipynb
 delete mode 100644 10-Mock Interviews/02-Large Search Engine Company /Search Engine Company - Interview Problems/.ipynb_checkpoints/01-On-Site Question 1 -checkpoint.ipynb
 delete mode 100644 10-Mock Interviews/02-Large Search Engine Company /Search Engine Company - Interview Problems/.ipynb_checkpoints/02-On-Site Question 2 -checkpoint.ipynb
 delete mode 100644 10-Mock Interviews/02-Large Search Engine Company /Search Engine Company - Interview Problems/.ipynb_checkpoints/03-On-Site Question 3 -checkpoint.ipynb
 delete mode 100644 10-Mock Interviews/02-Large Search Engine Company /Search Engine Company - Interview Problems/.ipynb_checkpoints/04-On-Site Question 4 -checkpoint.ipynb
 delete mode 100644 10-Mock Interviews/02-Large Search Engine Company /Search Engine Company - Interview Problems/.ipynb_checkpoints/05-Phone Screen-checkpoint.ipynb
 rename 10-Mock Interviews/03-Ride Share Start-Up Company/{Ride Share Company - Interview Questions - SOLUTIONS => 01-On-Site-Quesion-1}/On-Site Question 1 - SOLUTION.ipynb (100%)
 rename 10-Mock Interviews/03-Ride Share Start-Up Company/{Ride Share Company - Interview Questions  => 01-On-Site-Quesion-1}/On-Site Question 1 .ipynb (100%)
 rename 10-Mock Interviews/03-Ride Share Start-Up Company/{Ride Share Company - Interview Questions - SOLUTIONS => 02-On-Site-Quesion-2}/On-Site Question 2 - SOLUTION.ipynb (100%)
 rename 10-Mock Interviews/03-Ride Share Start-Up Company/{Ride Share Company - Interview Questions  => 02-On-Site-Quesion-2}/On-Site Question 2 .ipynb (100%)
 rename 10-Mock Interviews/03-Ride Share Start-Up Company/{Ride Share Company - Interview Questions - SOLUTIONS => 03-On-Site-Quesion-3}/On-Site Question 3 - SOLUTION.ipynb (100%)
 rename 10-Mock Interviews/03-Ride Share Start-Up Company/{Ride Share Company - Interview Questions  => 03-On-Site-Quesion-3}/On-Site Question 3 .ipynb (100%)
 rename 10-Mock Interviews/03-Ride Share Start-Up Company/{Ride Share Company - Interview Questions - SOLUTIONS => 04-Phone-Screen}/Phone Screen - SOLUTION.ipynb (100%)
 rename 10-Mock Interviews/03-Ride Share Start-Up Company/{Ride Share Company - Interview Questions  => 04-Phone-Screen}/Phone Screen .ipynb (100%)
 delete mode 100644 10-Mock Interviews/03-Ride Share Start-Up Company/Ride Share Company - Interview Questions - SOLUTIONS/.ipynb_checkpoints/On-Site Question 1 - SOLUTION-checkpoint.ipynb
 delete mode 100644 10-Mock Interviews/03-Ride Share Start-Up Company/Ride Share Company - Interview Questions - SOLUTIONS/.ipynb_checkpoints/On-Site Question 2 - SOLUTION-checkpoint.ipynb
 delete mode 100644 10-Mock Interviews/03-Ride Share Start-Up Company/Ride Share Company - Interview Questions - SOLUTIONS/.ipynb_checkpoints/On-Site Question 3 - SOLUTION-checkpoint.ipynb
 delete mode 100644 10-Mock Interviews/03-Ride Share Start-Up Company/Ride Share Company - Interview Questions - SOLUTIONS/.ipynb_checkpoints/Phone Screen - SOLUTION-checkpoint.ipynb
 delete mode 100644 10-Mock Interviews/03-Ride Share Start-Up Company/Ride Share Company - Interview Questions /.ipynb_checkpoints/On-Site Question 1 -checkpoint.ipynb
 delete mode 100644 10-Mock Interviews/03-Ride Share Start-Up Company/Ride Share Company - Interview Questions /.ipynb_checkpoints/On-Site Question 2 -checkpoint.ipynb
 delete mode 100644 10-Mock Interviews/03-Ride Share Start-Up Company/Ride Share Company - Interview Questions /.ipynb_checkpoints/On-Site Question 3 -checkpoint.ipynb
 delete mode 100644 10-Mock Interviews/03-Ride Share Start-Up Company/Ride Share Company - Interview Questions /.ipynb_checkpoints/Phone Screen -checkpoint.ipynb
 rename 10-Mock Interviews/04-Social Network Company/{Social Network Company - Interview Questions - SOLUTIONS => 01-On-Site-Question-1}/On-Site Question 1 - SOLUTION.ipynb (100%)
 rename 10-Mock Interviews/04-Social Network Company/{Social Network Company - Interview Questions  => 01-On-Site-Question-1}/On-Site Question 1.ipynb (100%)
 rename 10-Mock Interviews/04-Social Network Company/{Social Network Company - Interview Questions - SOLUTIONS => 02-On-Site-Question-2}/On-Site Question 2 - SOLUTION.ipynb (100%)
 rename 10-Mock Interviews/04-Social Network Company/{Social Network Company - Interview Questions  => 02-On-Site-Question-2}/On-Site Question 2.ipynb (100%)
 rename 10-Mock Interviews/04-Social Network Company/{Social Network Company - Interview Questions - SOLUTIONS => 03-On-Site-Question-3}/On-Site Question 3 - SOLUTION.ipynb (100%)
 rename 10-Mock Interviews/04-Social Network Company/{Social Network Company - Interview Questions  => 03-On-Site-Question-3}/On-Site Question 3.ipynb (100%)
 rename 10-Mock Interviews/04-Social Network Company/{Social Network Company - Interview Questions - SOLUTIONS => 04-Phone-Screen}/Phone Screen - SOLUTION.ipynb (100%)
 rename 10-Mock Interviews/04-Social Network Company/{Social Network Company - Interview Questions  => 04-Phone-Screen}/Phone Screen .ipynb (100%)
 delete mode 100644 10-Mock Interviews/04-Social Network Company/Social Network Company - Interview Questions - SOLUTIONS/.ipynb_checkpoints/On-Site Question 1 - SOLUTION-checkpoint.ipynb
 delete mode 100644 10-Mock Interviews/04-Social Network Company/Social Network Company - Interview Questions - SOLUTIONS/.ipynb_checkpoints/On-Site Question 2 - SOLUTION-checkpoint.ipynb
 delete mode 100644 10-Mock Interviews/04-Social Network Company/Social Network Company - Interview Questions - SOLUTIONS/.ipynb_checkpoints/On-Site Question 3 - SOLUTION-checkpoint.ipynb
 delete mode 100644 10-Mock Interviews/04-Social Network Company/Social Network Company - Interview Questions - SOLUTIONS/.ipynb_checkpoints/Phone Screen - SOLUTION-checkpoint.ipynb
 delete mode 100644 10-Mock Interviews/04-Social Network Company/Social Network Company - Interview Questions /.ipynb_checkpoints/On-Site Question 1-checkpoint.ipynb
 delete mode 100644 10-Mock Interviews/04-Social Network Company/Social Network Company - Interview Questions /.ipynb_checkpoints/On-Site Question 2-checkpoint.ipynb
 delete mode 100644 10-Mock Interviews/04-Social Network Company/Social Network Company - Interview Questions /.ipynb_checkpoints/On-Site Question 3-checkpoint.ipynb
 delete mode 100644 10-Mock Interviews/04-Social Network Company/Social Network Company - Interview Questions /.ipynb_checkpoints/Phone Screen -checkpoint.ipynb

diff --git a/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/01-Anagram Check - SOLUTION.ipynb b/02-Array Sequences/Array Sequences Interview Questions/01-Anagram-Check/01-Anagram Check - SOLUTION.ipynb
similarity index 100%
rename from 02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/01-Anagram Check - SOLUTION.ipynb
rename to 02-Array Sequences/Array Sequences Interview Questions/01-Anagram-Check/01-Anagram Check - SOLUTION.ipynb
diff --git a/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions/01-Anagram Check .ipynb b/02-Array Sequences/Array Sequences Interview Questions/01-Anagram-Check/01-Anagram Check .ipynb
similarity index 100%
rename from 02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions/01-Anagram Check .ipynb
rename to 02-Array Sequences/Array Sequences Interview Questions/01-Anagram-Check/01-Anagram Check .ipynb
diff --git a/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/02-Array Pair Sum - SOLUTION.ipynb b/02-Array Sequences/Array Sequences Interview Questions/02-Array-Pair-Sum/02-Array Pair Sum - SOLUTION.ipynb
similarity index 100%
rename from 02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/02-Array Pair Sum - SOLUTION.ipynb
rename to 02-Array Sequences/Array Sequences Interview Questions/02-Array-Pair-Sum/02-Array Pair Sum - SOLUTION.ipynb
diff --git a/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions/02-Array Pair Sum .ipynb b/02-Array Sequences/Array Sequences Interview Questions/02-Array-Pair-Sum/02-Array Pair Sum .ipynb
similarity index 100%
rename from 02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions/02-Array Pair Sum .ipynb
rename to 02-Array Sequences/Array Sequences Interview Questions/02-Array-Pair-Sum/02-Array Pair Sum .ipynb
diff --git a/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/03-Find the Missing Element - SOLUTION.ipynb b/02-Array Sequences/Array Sequences Interview Questions/03-Finding-the-Missing-Element/03-Find the Missing Element - SOLUTION.ipynb
similarity index 100%
rename from 02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/03-Find the Missing Element - SOLUTION.ipynb
rename to 02-Array Sequences/Array Sequences Interview Questions/03-Finding-the-Missing-Element/03-Find the Missing Element - SOLUTION.ipynb
diff --git a/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions/03-Find the Missing Element .ipynb b/02-Array Sequences/Array Sequences Interview Questions/03-Finding-the-Missing-Element/03-Find the Missing Element .ipynb
similarity index 100%
rename from 02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions/03-Find the Missing Element .ipynb
rename to 02-Array Sequences/Array Sequences Interview Questions/03-Finding-the-Missing-Element/03-Find the Missing Element .ipynb
diff --git a/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/04-Largest Continuous Sum - SOLUTION.ipynb b/02-Array Sequences/Array Sequences Interview Questions/04-Largest-Continuous-Sum/04-Largest Continuous Sum - SOLUTION.ipynb
similarity index 100%
rename from 02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/04-Largest Continuous Sum - SOLUTION.ipynb
rename to 02-Array Sequences/Array Sequences Interview Questions/04-Largest-Continuous-Sum/04-Largest Continuous Sum - SOLUTION.ipynb
diff --git a/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions/04-Largest Continuous Sum .ipynb b/02-Array Sequences/Array Sequences Interview Questions/04-Largest-Continuous-Sum/04-Largest Continuous Sum .ipynb
similarity index 100%
rename from 02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions/04-Largest Continuous Sum .ipynb
rename to 02-Array Sequences/Array Sequences Interview Questions/04-Largest-Continuous-Sum/04-Largest Continuous Sum .ipynb
diff --git a/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/05-Sentence Reversal - SOLUTION.ipynb b/02-Array Sequences/Array Sequences Interview Questions/05-Sentence-Reversal/05-Sentence Reversal - SOLUTION.ipynb
similarity index 100%
rename from 02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/05-Sentence Reversal - SOLUTION.ipynb
rename to 02-Array Sequences/Array Sequences Interview Questions/05-Sentence-Reversal/05-Sentence Reversal - SOLUTION.ipynb
diff --git a/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions/05-Sentence Reversal.ipynb b/02-Array Sequences/Array Sequences Interview Questions/05-Sentence-Reversal/05-Sentence Reversal.ipynb
similarity index 100%
rename from 02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions/05-Sentence Reversal.ipynb
rename to 02-Array Sequences/Array Sequences Interview Questions/05-Sentence-Reversal/05-Sentence Reversal.ipynb
diff --git a/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/06-String Compression -SOLUTION.ipynb b/02-Array Sequences/Array Sequences Interview Questions/06-String-Compression/06-String Compression -SOLUTION.ipynb
similarity index 100%
rename from 02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/06-String Compression -SOLUTION.ipynb
rename to 02-Array Sequences/Array Sequences Interview Questions/06-String-Compression/06-String Compression -SOLUTION.ipynb
diff --git a/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions/06-String Compression .ipynb b/02-Array Sequences/Array Sequences Interview Questions/06-String-Compression/06-String Compression .ipynb
similarity index 100%
rename from 02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions/06-String Compression .ipynb
rename to 02-Array Sequences/Array Sequences Interview Questions/06-String-Compression/06-String Compression .ipynb
diff --git a/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/07-Unique Characters in String - SOLUTION.ipynb b/02-Array Sequences/Array Sequences Interview Questions/07-Unique-Characters-in-String/07-Unique Characters in String - SOLUTION.ipynb
similarity index 100%
rename from 02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/07-Unique Characters in String - SOLUTION.ipynb
rename to 02-Array Sequences/Array Sequences Interview Questions/07-Unique-Characters-in-String/07-Unique Characters in String - SOLUTION.ipynb
diff --git a/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions/07-Unique Characters in String.ipynb b/02-Array Sequences/Array Sequences Interview Questions/07-Unique-Characters-in-String/07-Unique Characters in String.ipynb
similarity index 100%
rename from 02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions/07-Unique Characters in String.ipynb
rename to 02-Array Sequences/Array Sequences Interview Questions/07-Unique-Characters-in-String/07-Unique Characters in String.ipynb
diff --git a/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/.ipynb_checkpoints/01-Anagram Check -checkpoint.ipynb b/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/.ipynb_checkpoints/01-Anagram Check -checkpoint.ipynb
deleted file mode 100644
index 763de1cd..00000000
--- a/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/.ipynb_checkpoints/01-Anagram Check -checkpoint.ipynb	
+++ /dev/null
@@ -1,217 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Anagram Check\n",
-    "\n",
-    "## Problem\n",
-    "\n",
-    "Given two strings, check to see if they are anagrams. An anagram is when the two strings can be written using the exact same letters (so you can just rearrange the letters to get a different phrase or word). \n",
-    "\n",
-    "For example:\n",
-    "\n",
-    "    \"public relations\" is an anagram of \"crap built on lies.\"\n",
-    "    \n",
-    "    \"clint eastwood\" is an anagram of \"old west action\"\n",
-    "    \n",
-    "**Note: Ignore spaces and capitalization. So \"d go\" is an anagram of \"God\" and \"dog\" and \"o d g\".**\n",
-    "\n",
-    "## Solution\n",
-    "\n",
-    "Fill out your solution below:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# 242. Valid Anagram(https://leetcode.com/problems/valid-anagram/description/)\n",
-    "def anagram(s, t):\n",
-    "    \"\"\"\n",
-    "    :type s: str\n",
-    "    :type t: str\n",
-    "    :rtype: bool\n",
-    "    \"\"\"\n",
-    "    s=s.replace(' ','').lower()\n",
-    "    t=t.replace(' ','').lower()\n",
-    "    \n",
-    "    if(len(s)!=len(t)):\n",
-    "        return False\n",
-    "    counter = {}\n",
-    "    for letter in s:\n",
-    "        if letter in counter:\n",
-    "            counter[letter] += 1\n",
-    "        else:\n",
-    "            counter[letter] = 1\n",
-    "\n",
-    "    for letter in t:\n",
-    "        if letter in counter:\n",
-    "            counter[letter] -= 1\n",
-    "        else:\n",
-    "            return False\n",
-    "\n",
-    "    for k in counter:\n",
-    "        if counter[k]!=0:\n",
-    "          return False\n",
-    "    \n",
-    "    return True\n",
-    "    pass"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "True"
-      ]
-     },
-     "execution_count": 2,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "anagram('dog','god')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "True"
-      ]
-     },
-     "execution_count": 3,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "anagram('clint eastwood','old west action')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "False"
-      ]
-     },
-     "execution_count": 4,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "anagram('aa','bb')"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Test Your Solution\n",
-    "Run the cell below to test your solution"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "ALL TEST CASES PASSED\n"
-     ]
-    }
-   ],
-   "source": [
-    "\"\"\"\n",
-    "RUN THIS CELL TO TEST YOUR SOLUTION\n",
-    "\"\"\"\n",
-    "from nose.tools import assert_equal\n",
-    "\n",
-    "class AnagramTest(object):\n",
-    "    \n",
-    "    def test(self,sol):\n",
-    "        assert_equal(sol('go go go','gggooo'),True)\n",
-    "        assert_equal(sol('abc','cba'),True)\n",
-    "        assert_equal(sol('hi man','hi     man'),True)\n",
-    "        assert_equal(sol('aabbcc','aabbc'),False)\n",
-    "        assert_equal(sol('123','1 2'),False)\n",
-    "        print('ALL TEST CASES PASSED')\n",
-    "\n",
-    "# Run Tests\n",
-    "t = AnagramTest()\n",
-    "t.test(anagram)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "metadata": {},
-   "outputs": [
-    {
-     "ename": "NameError",
-     "evalue": "name 'anagram2' is not defined",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
-      "\u001b[0;32m<ipython-input-6-10b6a5a934e9>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtest\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0managram2\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
-      "\u001b[0;31mNameError\u001b[0m: name 'anagram2' is not defined"
-     ]
-    }
-   ],
-   "source": [
-    "t.test(anagram2)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Good Job!"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.8.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 1
-}
diff --git a/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/.ipynb_checkpoints/02-Array Pair Sum -checkpoint.ipynb b/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/.ipynb_checkpoints/02-Array Pair Sum -checkpoint.ipynb
deleted file mode 100644
index e244d06a..00000000
--- a/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/.ipynb_checkpoints/02-Array Pair Sum -checkpoint.ipynb	
+++ /dev/null
@@ -1,136 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Array Pair Sum\n",
-    "\n",
-    "## Problem\n",
-    "\n",
-    "Given an integer array, output all the ** *unique* ** pairs that sum up to a specific value **k**.\n",
-    "\n",
-    "So the input:\n",
-    "    \n",
-    "    pair_sum([1,3,2,2],4)\n",
-    "\n",
-    "would return **2** pairs:\n",
-    "\n",
-    "     (1,3)\n",
-    "     (2,2)\n",
-    "\n",
-    "**NOTE: FOR TESTING PURPOSES CHANGE YOUR FUNCTION SO IT OUTPUTS THE NUMBER OF PAIRS**\n",
-    "\n",
-    "## Solution\n",
-    "\n",
-    "Fill out your solution below:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def pair_sum(arr,k):\n",
-    "    counter = 0\n",
-    "    lookup = set()\n",
-    "    for num in arr:\n",
-    "        if k-num in lookup:\n",
-    "            counter+=1\n",
-    "        else:\n",
-    "            lookup.add(num)\n",
-    "    return counter\n",
-    "    pass"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "2"
-      ]
-     },
-     "execution_count": 2,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "pair_sum([1,3,2,2],4)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Test Your Solution"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "ALL TEST CASES PASSED\n"
-     ]
-    }
-   ],
-   "source": [
-    "\"\"\"\n",
-    "RUN THIS CELL TO TEST YOUR SOLUTION\n",
-    "\"\"\"\n",
-    "from nose.tools import assert_equal\n",
-    "\n",
-    "class TestPair(object):\n",
-    "    \n",
-    "    def test(self,sol):\n",
-    "        assert_equal(sol([1,9,2,8,3,7,4,6,5,5,13,14,11,13,-1],10),6)\n",
-    "        assert_equal(sol([1,2,3,1],3),1)\n",
-    "        assert_equal(sol([1,3,2,2],4),2)\n",
-    "        print('ALL TEST CASES PASSED')\n",
-    "        \n",
-    "#Run tests\n",
-    "t = TestPair()\n",
-    "t.test(pair_sum)\n",
-    "    "
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Good Job!"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.8.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 1
-}
diff --git a/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/.ipynb_checkpoints/03-Find the Missing Element -checkpoint.ipynb b/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/.ipynb_checkpoints/03-Find the Missing Element -checkpoint.ipynb
deleted file mode 100644
index 941ad803..00000000
--- a/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/.ipynb_checkpoints/03-Find the Missing Element -checkpoint.ipynb	
+++ /dev/null
@@ -1,164 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Find the Missing Element\n",
-    "\n",
-    "## Problem\n",
-    "\n",
-    "Consider an array of non-negative integers. A second array is formed by shuffling the elements of the first array and deleting a random element. Given these two arrays, find which element is missing in the second array. \n",
-    "\n",
-    "Here is an example input, the first array is shuffled and the number 5 is removed to construct the second array.\n",
-    "\n",
-    "Input:\n",
-    "    \n",
-    "    finder([1,2,3,4,5,6,7],[3,7,2,1,4,6])\n",
-    "\n",
-    "Output:\n",
-    "\n",
-    "    5 is the missing number\n",
-    "\n",
-    "## Solution\n",
-    "\n",
-    "Fill out your solution below:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def finder(arr1,arr2):\n",
-    "    num = 0\n",
-    "    for n in arr1:\n",
-    "        num += n\n",
-    "    for n in arr2:\n",
-    "        num -= n\n",
-    "    return num\n",
-    "    pass"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "5"
-      ]
-     },
-     "execution_count": 2,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "arr1 = [1,2,3,4,5,6,7]\n",
-    "arr2 = [3,7,2,1,4,6]\n",
-    "finder(arr1,arr2)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "5"
-      ]
-     },
-     "execution_count": 3,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "arr1 = [5,5,7,7]\n",
-    "arr2 = [5,7,7]\n",
-    "\n",
-    "finder(arr1,arr2)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "_____"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Test Your Solution"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "ALL TEST CASES PASSED\n"
-     ]
-    }
-   ],
-   "source": [
-    "\"\"\"\n",
-    "RUN THIS CELL TO TEST YOUR SOLUTION\n",
-    "\"\"\"\n",
-    "from nose.tools import assert_equal\n",
-    "\n",
-    "class TestFinder(object):\n",
-    "    \n",
-    "    def test(self,sol):\n",
-    "        assert_equal(sol([5,5,7,7],[5,7,7]),5)\n",
-    "        assert_equal(sol([1,2,3,4,5,6,7],[3,7,2,1,4,6]),5)\n",
-    "        assert_equal(sol([9,8,7,6,5,4,3,2,1],[9,8,7,5,4,3,2,1]),6)\n",
-    "        print('ALL TEST CASES PASSED')\n",
-    "\n",
-    "# Run test\n",
-    "t = TestFinder()\n",
-    "t.test(finder)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Good Job!"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.8.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 1
-}
diff --git a/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/.ipynb_checkpoints/04-Largest Continuous Sum -checkpoint.ipynb b/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/.ipynb_checkpoints/04-Largest Continuous Sum -checkpoint.ipynb
deleted file mode 100644
index 46da44ba..00000000
--- a/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/.ipynb_checkpoints/04-Largest Continuous Sum -checkpoint.ipynb	
+++ /dev/null
@@ -1,128 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Largest Continuous Sum\n",
-    "\n",
-    "## Problem\n",
-    "Given an array of integers (positive and negative) find the largest continuous sum. \n",
-    "\n",
-    "## Solution\n",
-    "\n",
-    "Fill out your solution below:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def large_cont_sum(arr):\n",
-    "    if len(arr) == 0:\n",
-    "        return 0\n",
-    "    \n",
-    "    max_num = sum = arr[0]# max=sum=arr[0] bug: TypeError: 'int' object is not callable. (Do not use the keyword!)\n",
-    "    \n",
-    "    for n in arr[1:]:\n",
-    "        sum = max(sum+n, n)\n",
-    "        max_num = max(sum, max_num)\n",
-    "    return max_num\n",
-    "    pass"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "29"
-      ]
-     },
-     "execution_count": 2,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "large_cont_sum([1,2,-1,3,4,10,10,-10,-1])"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "____\n",
-    "Many times in an interview setting the question also requires you to report back the start and end points of the sum. Keep this in mind and see if you can solve that problem, we'll see it in the mock interview section of the course!"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Test Your Solution"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "ALL TEST CASES PASSED\n"
-     ]
-    }
-   ],
-   "source": [
-    "from nose.tools import assert_equal\n",
-    "\n",
-    "class LargeContTest(object):\n",
-    "    def test(self,sol):\n",
-    "        assert_equal(sol([1,2,-1,3,4,-1]),9)\n",
-    "        assert_equal(sol([1,2,-1,3,4,10,10,-10,-1]),29)\n",
-    "        assert_equal(sol([-1,1]),1)\n",
-    "        print ('ALL TEST CASES PASSED')\n",
-    "        \n",
-    "#Run Test\n",
-    "t = LargeContTest()\n",
-    "t.test(large_cont_sum)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Good Job!"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.8.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 1
-}
diff --git a/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/.ipynb_checkpoints/05-Sentence Reversal-checkpoint.ipynb b/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/.ipynb_checkpoints/05-Sentence Reversal-checkpoint.ipynb
deleted file mode 100644
index 2932e34f..00000000
--- a/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/.ipynb_checkpoints/05-Sentence Reversal-checkpoint.ipynb	
+++ /dev/null
@@ -1,220 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Sentence Reversal\n",
-    "\n",
-    "## Problem\n",
-    "\n",
-    "Given a string of words, reverse all the words. For example:\n",
-    "\n",
-    "Given:\n",
-    "    \n",
-    "    'This is the best'\n",
-    "\n",
-    "Return:\n",
-    "\n",
-    "    'best the is This'\n",
-    "\n",
-    "As part of this exercise you should remove all leading and trailing whitespace. So that inputs such as:\n",
-    "\n",
-    "    '  space here'  and 'space here      '\n",
-    "\n",
-    "both become:\n",
-    "\n",
-    "    'here space'\n",
-    "\n",
-    "## Solution\n",
-    "\n",
-    "Fill out your solution below:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def rev_word(s):\n",
-    "    return \" \".join(reversed(s.split()))\n",
-    "    pass"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "'go? to ready you are John, Hi'"
-      ]
-     },
-     "execution_count": 2,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "rev_word('Hi John,   are you ready to go?')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "'before space'"
-      ]
-     },
-     "execution_count": 3,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "rev_word('    space before')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "'after space'"
-      ]
-     },
-     "execution_count": 4,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "rev_word('space after     ')"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Learn\n",
-    "- \" \".join()\n",
-    "- reversed()\n",
-    "- s.split()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "'\\nInit signature: reversed(self, /, *args, **kwargs)\\nDocstring:     \\nreversed(sequence) -> reverse iterator over values of the sequence\\n\\nReturn a reverse iterator\\nType:           type\\n'"
-      ]
-     },
-     "execution_count": 5,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# reversed()\n",
-    "'''\n",
-    "Init signature: reversed(self, /, *args, **kwargs)\n",
-    "Docstring:     \n",
-    "reversed(sequence) -> reverse iterator over values of the sequence\n",
-    "\n",
-    "Return a reverse iterator\n",
-    "Type:           type\n",
-    "'''"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "_____"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Test Your Solution"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "ALL TEST CASES PASSED\n"
-     ]
-    }
-   ],
-   "source": [
-    "\"\"\"\n",
-    "RUN THIS CELL TO TEST YOUR SOLUTION\n",
-    "\"\"\"\n",
-    "\n",
-    "from nose.tools import assert_equal\n",
-    "\n",
-    "class ReversalTest(object):\n",
-    "    \n",
-    "    def test(self,sol):\n",
-    "        assert_equal(sol('    space before'),'before space')\n",
-    "        assert_equal(sol('space after     '),'after space')\n",
-    "        assert_equal(sol('   Hello John    how are you   '),'you are how John Hello')\n",
-    "        assert_equal(sol('1'),'1')\n",
-    "        print (\"ALL TEST CASES PASSED\")\n",
-    "        \n",
-    "# Run and test\n",
-    "t = ReversalTest()\n",
-    "t.test(rev_word)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Good Job!"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.8.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 1
-}
diff --git a/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/.ipynb_checkpoints/06-String Compression -checkpoint.ipynb b/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/.ipynb_checkpoints/06-String Compression -checkpoint.ipynb
deleted file mode 100644
index 7e2d6929..00000000
--- a/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/.ipynb_checkpoints/06-String Compression -checkpoint.ipynb	
+++ /dev/null
@@ -1,143 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# String Compression\n",
-    "\n",
-    "## Problem\n",
-    "\n",
-    "Given a string in the form 'AAAABBBBCCCCCDDEEEE' compress it to become 'A4B4C5D2E4'. For this problem, you can falsely \"compress\" strings of single or double letters. For instance, it is okay for 'AAB' to return 'A2B1' even though this technically takes more space. \n",
-    "\n",
-    "The function should also be case sensitive, so that a string 'AAAaaa' returns 'A3a3'."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Solution\n",
-    "Fill out your solution below:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def compress(s):\n",
-    "    r = \"\"\n",
-    "    l = len(s)\n",
-    "    \n",
-    "    if l==0:\n",
-    "        return ''\n",
-    "    if l==1:\n",
-    "        return s+'1'\n",
-    "    \n",
-    "    last = s[0]\n",
-    "    cnt = 1\n",
-    "    i=1\n",
-    "    \n",
-    "    while i<l:\n",
-    "        if s[i]==s[i-1]:\n",
-    "            cnt += 1\n",
-    "        else:\n",
-    "            r=r+s[i-1]+str(cnt)\n",
-    "            cnt=1\n",
-    "        i+=1\n",
-    "    r = r+s[i-1]+str(cnt)\n",
-    "    return r\n",
-    "    pass"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "'A5B4C4'"
-      ]
-     },
-     "execution_count": 2,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "compress('AAAAABBBBCCCC')"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Test Your Solution"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "ALL TEST CASES PASSED\n"
-     ]
-    }
-   ],
-   "source": [
-    "\"\"\"\n",
-    "RUN THIS CELL TO TEST YOUR SOLUTION\n",
-    "\"\"\"\n",
-    "from nose.tools import assert_equal\n",
-    "\n",
-    "class TestCompress(object):\n",
-    "\n",
-    "    def test(self, sol):\n",
-    "        assert_equal(sol(''), '')\n",
-    "        assert_equal(sol('AABBCC'), 'A2B2C2')\n",
-    "        assert_equal(sol('AAABCCDDDDD'), 'A3B1C2D5')\n",
-    "        print ('ALL TEST CASES PASSED')\n",
-    "\n",
-    "# Run Tests\n",
-    "t = TestCompress()\n",
-    "t.test(compress)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Good Job!"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.8.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 1
-}
diff --git a/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/.ipynb_checkpoints/07-Unique Characters in String-checkpoint.ipynb b/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/.ipynb_checkpoints/07-Unique Characters in String-checkpoint.ipynb
deleted file mode 100644
index b565a980..00000000
--- a/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/.ipynb_checkpoints/07-Unique Characters in String-checkpoint.ipynb	
+++ /dev/null
@@ -1,126 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Unique Characters in String\n",
-    "\n",
-    "## Problem\n",
-    "Given a string,determine if it is compreised of all unique characters. For example, the string 'abcde' has all unique characters and should return True. The string 'aabcde' contains duplicate characters and should return false."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Solution\n",
-    "Fill out your solution below:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def uni_char(s):\n",
-    "    u = set()\n",
-    "    for c in s:\n",
-    "        if c in u:\n",
-    "            return False\n",
-    "        else:\n",
-    "            u.add(c)\n",
-    "    return True\n",
-    "    pass"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Learn This One Line Solution"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# another 1-line solution\n",
-    "def uni_char2(s):\n",
-    "    return len(set(s)) == len(s)\n",
-    "    pass"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Test Your Solution"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "ALL TEST CASES PASSED\n"
-     ]
-    }
-   ],
-   "source": [
-    "\"\"\"\n",
-    "RUN THIS CELL TO TEST YOUR CODE>\n",
-    "\"\"\"\n",
-    "from nose.tools import assert_equal\n",
-    "\n",
-    "\n",
-    "class TestUnique(object):\n",
-    "\n",
-    "    def test(self, sol):\n",
-    "        assert_equal(sol(''), True)\n",
-    "        assert_equal(sol('goo'), False)\n",
-    "        assert_equal(sol('abcdefg'), True)\n",
-    "        print ('ALL TEST CASES PASSED')\n",
-    "        \n",
-    "# Run Tests\n",
-    "t = TestUnique()\n",
-    "t.test(uni_char)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Good Job!"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.8.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 1
-}
diff --git a/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/.ipynb_checkpoints/Anagram Check -checkpoint.ipynb b/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/.ipynb_checkpoints/Anagram Check -checkpoint.ipynb
deleted file mode 100644
index fd6f0824..00000000
--- a/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/.ipynb_checkpoints/Anagram Check -checkpoint.ipynb	
+++ /dev/null
@@ -1,197 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Anagram Check\n",
-    "\n",
-    "## Problem\n",
-    "\n",
-    "Given two strings, check to see if they are anagrams. An anagram is when the two strings can be written using the exact same letters (so you can just rearrange the letters to get a different phrase or word). \n",
-    "\n",
-    "For example:\n",
-    "\n",
-    "    \"public relations\" is an anagram of \"crap built on lies.\"\n",
-    "    \n",
-    "    \"clint eastwood\" is an anagram of \"old west action\"\n",
-    "    \n",
-    "**Note: Ignore spaces and capitalization. So \"d go\" is an anagram of \"God\" and \"dog\" and \"o d g\".**\n",
-    "\n",
-    "## Solution\n",
-    "\n",
-    "Fill out your solution below:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 26,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [],
-   "source": [
-    "def anagram(s1,s2):\n",
-    "    \n",
-    "    pass"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 27,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "True"
-      ]
-     },
-     "execution_count": 27,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "anagram('dog','god')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 34,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "True"
-      ]
-     },
-     "execution_count": 34,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "anagram('clint eastwood','old west action')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 35,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "False"
-      ]
-     },
-     "execution_count": 35,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "anagram('aa','bb')"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Test Your Solution\n",
-    "Run the cell below to test your solution"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 44,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "ALL TEST CASES PASSED\n"
-     ]
-    }
-   ],
-   "source": [
-    "\"\"\"\n",
-    "RUN THIS CELL TO TEST YOUR SOLUTION\n",
-    "\"\"\"\n",
-    "from nose.tools import assert_equal\n",
-    "\n",
-    "class AnagramTest(object):\n",
-    "    \n",
-    "    def test(self,sol):\n",
-    "        assert_equal(sol('go go go','gggooo'),True)\n",
-    "        assert_equal(sol('abc','cba'),True)\n",
-    "        assert_equal(sol('hi man','hi     man'),True)\n",
-    "        assert_equal(sol('aabbcc','aabbc'),False)\n",
-    "        assert_equal(sol('123','1 2'),False)\n",
-    "        print \"ALL TEST CASES PASSED\"\n",
-    "\n",
-    "# Run Tests\n",
-    "t = AnagramTest()\n",
-    "t.test(anagram)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 45,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "ALL TEST CASES PASSED\n"
-     ]
-    }
-   ],
-   "source": [
-    "t.test(anagram2)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Good Job!"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 2",
-   "language": "python",
-   "name": "python2"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 2
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.11"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 0
-}
diff --git a/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/.ipynb_checkpoints/Array Pair Sum -checkpoint.ipynb b/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/.ipynb_checkpoints/Array Pair Sum -checkpoint.ipynb
deleted file mode 100644
index 36525741..00000000
--- a/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/.ipynb_checkpoints/Array Pair Sum -checkpoint.ipynb	
+++ /dev/null
@@ -1,136 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Array Pair Sum\n",
-    "\n",
-    "## Problem\n",
-    "\n",
-    "Given an integer array, output all the ** *unique* ** pairs that sum up to a specific value **k**.\n",
-    "\n",
-    "So the input:\n",
-    "    \n",
-    "    pair_sum([1,3,2,2],4)\n",
-    "\n",
-    "would return **2** pairs:\n",
-    "\n",
-    "     (1,3)\n",
-    "     (2,2)\n",
-    "\n",
-    "**NOTE: FOR TESTING PURPOSES CHANGE YOUR FUNCTION SO IT OUTPUTS THE NUMBER OF PAIRS**\n",
-    "\n",
-    "## Solution\n",
-    "\n",
-    "Fill out your solution below:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def pair_sum(arr,k):\n",
-    "    counter = 0\n",
-    "    lookup = set()\n",
-    "    for num in arr:\n",
-    "        if k-num in lookup:\n",
-    "            counter+=1\n",
-    "        else:\n",
-    "            lookup.add(num)\n",
-    "    return counter\n",
-    "    pass"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 14,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "2"
-      ]
-     },
-     "execution_count": 14,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "pair_sum([1,3,2,2],4)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Test Your Solution"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "ALL TEST CASES PASSED\n"
-     ]
-    }
-   ],
-   "source": [
-    "\"\"\"\n",
-    "RUN THIS CELL TO TEST YOUR SOLUTION\n",
-    "\"\"\"\n",
-    "from nose.tools import assert_equal\n",
-    "\n",
-    "class TestPair(object):\n",
-    "    \n",
-    "    def test(self,sol):\n",
-    "        assert_equal(sol([1,9,2,8,3,7,4,6,5,5,13,14,11,13,-1],10),6)\n",
-    "        assert_equal(sol([1,2,3,1],3),1)\n",
-    "        assert_equal(sol([1,3,2,2],4),2)\n",
-    "        print('ALL TEST CASES PASSED')\n",
-    "        \n",
-    "#Run tests\n",
-    "t = TestPair()\n",
-    "t.test(pair_sum)\n",
-    "    "
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Good Job!"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.6.2"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 1
-}
diff --git a/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/.ipynb_checkpoints/Find the Missing Element -checkpoint.ipynb b/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/.ipynb_checkpoints/Find the Missing Element -checkpoint.ipynb
deleted file mode 100644
index fe1e12d7..00000000
--- a/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/.ipynb_checkpoints/Find the Missing Element -checkpoint.ipynb	
+++ /dev/null
@@ -1,169 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Find the Missing Element\n",
-    "\n",
-    "## Problem\n",
-    "\n",
-    "Consider an array of non-negative integers. A second array is formed by shuffling the elements of the first array and deleting a random element. Given these two arrays, find which element is missing in the second array. \n",
-    "\n",
-    "Here is an example input, the first array is shuffled and the number 5 is removed to construct the second array.\n",
-    "\n",
-    "Input:\n",
-    "    \n",
-    "    finder([1,2,3,4,5,6,7],[3,7,2,1,4,6])\n",
-    "\n",
-    "Output:\n",
-    "\n",
-    "    5 is the missing number\n",
-    "\n",
-    "## Solution\n",
-    "\n",
-    "Fill out your solution below:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "def finder(arr1,arr2):\n",
-    "    \n",
-    "    pass"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 46,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "5"
-      ]
-     },
-     "execution_count": 46,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "arr1 = [1,2,3,4,5,6,7]\n",
-    "arr2 = [3,7,2,1,4,6]\n",
-    "finder(arr1,arr2)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 47,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "5"
-      ]
-     },
-     "execution_count": 47,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "arr1 = [5,5,7,7]\n",
-    "arr2 = [5,7,7]\n",
-    "\n",
-    "finder(arr1,arr2)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {
-    "collapsed": false
-   },
-   "source": [
-    "_____"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Test Your Solution"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 43,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "ALL TEST CASES PASSED\n"
-     ]
-    }
-   ],
-   "source": [
-    "\"\"\"\n",
-    "RUN THIS CELL TO TEST YOUR SOLUTION\n",
-    "\"\"\"\n",
-    "from nose.tools import assert_equal\n",
-    "\n",
-    "class TestFinder(object):\n",
-    "    \n",
-    "    def test(self,sol):\n",
-    "        assert_equal(sol([5,5,7,7],[5,7,7]),5)\n",
-    "        assert_equal(sol([1,2,3,4,5,6,7],[3,7,2,1,4,6]),5)\n",
-    "        assert_equal(sol([9,8,7,6,5,4,3,2,1],[9,8,7,5,4,3,2,1]),6)\n",
-    "        print 'ALL TEST CASES PASSED'\n",
-    "\n",
-    "# Run test\n",
-    "t = TestFinder()\n",
-    "t.test(finder)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Good Job!"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 2",
-   "language": "python",
-   "name": "python2"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 2
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 0
-}
diff --git a/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/.ipynb_checkpoints/Largest Continuous Sum -checkpoint.ipynb b/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/.ipynb_checkpoints/Largest Continuous Sum -checkpoint.ipynb
deleted file mode 100644
index f006588d..00000000
--- a/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/.ipynb_checkpoints/Largest Continuous Sum -checkpoint.ipynb	
+++ /dev/null
@@ -1,130 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Largest Continuous Sum\n",
-    "\n",
-    "## Problem\n",
-    "Given an array of integers (positive and negative) find the largest continuous sum. \n",
-    "\n",
-    "## Solution\n",
-    "\n",
-    "Fill out your solution below:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 17,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def large_cont_sum(arr):\n",
-    "    if len(arr) == 0:\n",
-    "        return 0\n",
-    "    \n",
-    "    max = sum = arr[0]\n",
-    "    \n",
-    "    for n in arr[1:]:\n",
-    "        sum = max(n+sum, n)\n",
-    "        max = max(sum, max)\n",
-    "    return max\n",
-    "    pass"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 18,
-   "metadata": {},
-   "outputs": [
-    {
-     "ename": "TypeError",
-     "evalue": "'int' object is not callable",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
-      "\u001b[0;32m<ipython-input-18-1d0ab1a8883a>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mlarge_cont_sum\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m2\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m-\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m3\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m4\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m10\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m10\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m-\u001b[0m\u001b[0;36m10\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m-\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
-      "\u001b[0;32m<ipython-input-17-48b1b7e64d0d>\u001b[0m in \u001b[0;36mlarge_cont_sum\u001b[0;34m(arr)\u001b[0m\n\u001b[1;32m      6\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      7\u001b[0m     \u001b[0;32mfor\u001b[0m \u001b[0mn\u001b[0m \u001b[0;32min\u001b[0m \u001b[0marr\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 8\u001b[0;31m         \u001b[0msum\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mmax\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mn\u001b[0m\u001b[0;34m+\u001b[0m\u001b[0msum\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mn\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      9\u001b[0m         \u001b[0mmax\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mmax\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msum\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmax\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     10\u001b[0m     \u001b[0;32mreturn\u001b[0m \u001b[0mmax\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;31mTypeError\u001b[0m: 'int' object is not callable"
-     ]
-    }
-   ],
-   "source": [
-    "large_cont_sum([1,2,-1,3,4,10,10,-10,-1])"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "____\n",
-    "Many times in an interview setting the question also requires you to report back the start and end points of the sum. Keep this in mind and see if you can solve that problem, we'll see it in the mock interview section of the course!"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Test Your Solution"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 28,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "ALL TEST CASES PASSED\n"
-     ]
-    }
-   ],
-   "source": [
-    "from nose.tools import assert_equal\n",
-    "\n",
-    "class LargeContTest(object):\n",
-    "    def test(self,sol):\n",
-    "        assert_equal(sol([1,2,-1,3,4,-1]),9)\n",
-    "        assert_equal(sol([1,2,-1,3,4,10,10,-10,-1]),29)\n",
-    "        assert_equal(sol([-1,1]),1)\n",
-    "        print 'ALL TEST CASES PASSED'\n",
-    "        \n",
-    "#Run Test\n",
-    "t = LargeContTest()\n",
-    "t.test(large_cont_sum)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Good Job!"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.6.2"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 1
-}
diff --git a/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/.ipynb_checkpoints/Sentence Reversal-checkpoint.ipynb b/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/.ipynb_checkpoints/Sentence Reversal-checkpoint.ipynb
deleted file mode 100644
index f1ce5f7a..00000000
--- a/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/.ipynb_checkpoints/Sentence Reversal-checkpoint.ipynb	
+++ /dev/null
@@ -1,220 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Sentence Reversal\n",
-    "\n",
-    "## Problem\n",
-    "\n",
-    "Given a string of words, reverse all the words. For example:\n",
-    "\n",
-    "Given:\n",
-    "    \n",
-    "    'This is the best'\n",
-    "\n",
-    "Return:\n",
-    "\n",
-    "    'best the is This'\n",
-    "\n",
-    "As part of this exercise you should remove all leading and trailing whitespace. So that inputs such as:\n",
-    "\n",
-    "    '  space here'  and 'space here      '\n",
-    "\n",
-    "both become:\n",
-    "\n",
-    "    'here space'\n",
-    "\n",
-    "## Solution\n",
-    "\n",
-    "Fill out your solution below:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 25,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def rev_word(s):\n",
-    "    return \" \".join(reversed(s.split()))\n",
-    "    pass"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 26,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "'go? to ready you are John, Hi'"
-      ]
-     },
-     "execution_count": 26,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "rev_word('Hi John,   are you ready to go?')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 27,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "'before space'"
-      ]
-     },
-     "execution_count": 27,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "rev_word('    space before')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 28,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "'after space'"
-      ]
-     },
-     "execution_count": 28,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "rev_word('space after     ')"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Learn\n",
-    "- \" \".join()\n",
-    "- reversed()\n",
-    "- s.split()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 32,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "'\\nInit signature: reversed(self, /, *args, **kwargs)\\nDocstring:     \\nreversed(sequence) -> reverse iterator over values of the sequence\\n\\nReturn a reverse iterator\\nType:           type\\n'"
-      ]
-     },
-     "execution_count": 32,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# reversed()\n",
-    "'''\n",
-    "Init signature: reversed(self, /, *args, **kwargs)\n",
-    "Docstring:     \n",
-    "reversed(sequence) -> reverse iterator over values of the sequence\n",
-    "\n",
-    "Return a reverse iterator\n",
-    "Type:           type\n",
-    "'''"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "_____"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Test Your Solution"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 29,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "ALL TEST CASES PASSED\n"
-     ]
-    }
-   ],
-   "source": [
-    "\"\"\"\n",
-    "RUN THIS CELL TO TEST YOUR SOLUTION\n",
-    "\"\"\"\n",
-    "\n",
-    "from nose.tools import assert_equal\n",
-    "\n",
-    "class ReversalTest(object):\n",
-    "    \n",
-    "    def test(self,sol):\n",
-    "        assert_equal(sol('    space before'),'before space')\n",
-    "        assert_equal(sol('space after     '),'after space')\n",
-    "        assert_equal(sol('   Hello John    how are you   '),'you are how John Hello')\n",
-    "        assert_equal(sol('1'),'1')\n",
-    "        print (\"ALL TEST CASES PASSED\")\n",
-    "        \n",
-    "# Run and test\n",
-    "t = ReversalTest()\n",
-    "t.test(rev_word)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Good Job!"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.6.2"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 1
-}
diff --git a/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/.ipynb_checkpoints/String Compression -checkpoint.ipynb b/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/.ipynb_checkpoints/String Compression -checkpoint.ipynb
deleted file mode 100644
index e8c7d5f4..00000000
--- a/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/.ipynb_checkpoints/String Compression -checkpoint.ipynb	
+++ /dev/null
@@ -1,128 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# String Compression\n",
-    "\n",
-    "## Problem\n",
-    "\n",
-    "Given a string in the form 'AAAABBBBCCCCCDDEEEE' compress it to become 'A4B4C5D2E4'. For this problem, you can falsely \"compress\" strings of single or double letters. For instance, it is okay for 'AAB' to return 'A2B1' even though this technically takes more space. \n",
-    "\n",
-    "The function should also be case sensitive, so that a string 'AAAaaa' returns 'A3a3'."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Solution\n",
-    "Fill out your solution below:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 65,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "def compress(s):\n",
-    "    pass"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 66,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "'A5B4C4'"
-      ]
-     },
-     "execution_count": 66,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "compress('AAAAABBBBCCCC')"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Test Your Solution"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 62,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "ALL TEST CASES PASSED\n"
-     ]
-    }
-   ],
-   "source": [
-    "\"\"\"\n",
-    "RUN THIS CELL TO TEST YOUR SOLUTION\n",
-    "\"\"\"\n",
-    "from nose.tools import assert_equal\n",
-    "\n",
-    "class TestCompress(object):\n",
-    "\n",
-    "    def test(self, sol):\n",
-    "        assert_equal(sol(''), '')\n",
-    "        assert_equal(sol('AABBCC'), 'A2B2C2')\n",
-    "        assert_equal(sol('AAABCCDDDDD'), 'A3B1C2D5')\n",
-    "        print 'ALL TEST CASES PASSED'\n",
-    "\n",
-    "# Run Tests\n",
-    "t = TestCompress()\n",
-    "t.test(compress)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Good Job!"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 2",
-   "language": "python",
-   "name": "python2"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 2
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 0
-}
diff --git a/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/.ipynb_checkpoints/Unique Characters in String-checkpoint.ipynb b/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/.ipynb_checkpoints/Unique Characters in String-checkpoint.ipynb
deleted file mode 100644
index e844d767..00000000
--- a/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/.ipynb_checkpoints/Unique Characters in String-checkpoint.ipynb	
+++ /dev/null
@@ -1,126 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Unique Characters in String\n",
-    "\n",
-    "## Problem\n",
-    "Given a string,determine if it is compreised of all unique characters. For example, the string 'abcde' has all unique characters and should return True. The string 'aabcde' contains duplicate characters and should return false."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Solution\n",
-    "Fill out your solution below:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 11,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def uni_char(s):\n",
-    "    u = set()\n",
-    "    for c in s:\n",
-    "        if c in u:\n",
-    "            return False\n",
-    "        else:\n",
-    "            u.add(c)\n",
-    "    return True\n",
-    "    pass"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Learn This One Line Solution"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 14,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# another 1-line solution\n",
-    "def uni_char2(s):\n",
-    "    return len(set(s)) == len(s)\n",
-    "    pass"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Test Your Solution"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 12,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "ALL TEST CASES PASSED\n"
-     ]
-    }
-   ],
-   "source": [
-    "\"\"\"\n",
-    "RUN THIS CELL TO TEST YOUR CODE>\n",
-    "\"\"\"\n",
-    "from nose.tools import assert_equal\n",
-    "\n",
-    "\n",
-    "class TestUnique(object):\n",
-    "\n",
-    "    def test(self, sol):\n",
-    "        assert_equal(sol(''), True)\n",
-    "        assert_equal(sol('goo'), False)\n",
-    "        assert_equal(sol('abcdefg'), True)\n",
-    "        print ('ALL TEST CASES PASSED')\n",
-    "        \n",
-    "# Run Tests\n",
-    "t = TestUnique()\n",
-    "t.test(uni_char)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Good Job!"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.6.2"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 1
-}
diff --git a/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/01-Anagram Check .ipynb b/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/01-Anagram Check .ipynb
deleted file mode 100644
index 763de1cd..00000000
--- a/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/01-Anagram Check .ipynb	
+++ /dev/null
@@ -1,217 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Anagram Check\n",
-    "\n",
-    "## Problem\n",
-    "\n",
-    "Given two strings, check to see if they are anagrams. An anagram is when the two strings can be written using the exact same letters (so you can just rearrange the letters to get a different phrase or word). \n",
-    "\n",
-    "For example:\n",
-    "\n",
-    "    \"public relations\" is an anagram of \"crap built on lies.\"\n",
-    "    \n",
-    "    \"clint eastwood\" is an anagram of \"old west action\"\n",
-    "    \n",
-    "**Note: Ignore spaces and capitalization. So \"d go\" is an anagram of \"God\" and \"dog\" and \"o d g\".**\n",
-    "\n",
-    "## Solution\n",
-    "\n",
-    "Fill out your solution below:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# 242. Valid Anagram(https://leetcode.com/problems/valid-anagram/description/)\n",
-    "def anagram(s, t):\n",
-    "    \"\"\"\n",
-    "    :type s: str\n",
-    "    :type t: str\n",
-    "    :rtype: bool\n",
-    "    \"\"\"\n",
-    "    s=s.replace(' ','').lower()\n",
-    "    t=t.replace(' ','').lower()\n",
-    "    \n",
-    "    if(len(s)!=len(t)):\n",
-    "        return False\n",
-    "    counter = {}\n",
-    "    for letter in s:\n",
-    "        if letter in counter:\n",
-    "            counter[letter] += 1\n",
-    "        else:\n",
-    "            counter[letter] = 1\n",
-    "\n",
-    "    for letter in t:\n",
-    "        if letter in counter:\n",
-    "            counter[letter] -= 1\n",
-    "        else:\n",
-    "            return False\n",
-    "\n",
-    "    for k in counter:\n",
-    "        if counter[k]!=0:\n",
-    "          return False\n",
-    "    \n",
-    "    return True\n",
-    "    pass"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "True"
-      ]
-     },
-     "execution_count": 2,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "anagram('dog','god')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "True"
-      ]
-     },
-     "execution_count": 3,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "anagram('clint eastwood','old west action')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "False"
-      ]
-     },
-     "execution_count": 4,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "anagram('aa','bb')"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Test Your Solution\n",
-    "Run the cell below to test your solution"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "ALL TEST CASES PASSED\n"
-     ]
-    }
-   ],
-   "source": [
-    "\"\"\"\n",
-    "RUN THIS CELL TO TEST YOUR SOLUTION\n",
-    "\"\"\"\n",
-    "from nose.tools import assert_equal\n",
-    "\n",
-    "class AnagramTest(object):\n",
-    "    \n",
-    "    def test(self,sol):\n",
-    "        assert_equal(sol('go go go','gggooo'),True)\n",
-    "        assert_equal(sol('abc','cba'),True)\n",
-    "        assert_equal(sol('hi man','hi     man'),True)\n",
-    "        assert_equal(sol('aabbcc','aabbc'),False)\n",
-    "        assert_equal(sol('123','1 2'),False)\n",
-    "        print('ALL TEST CASES PASSED')\n",
-    "\n",
-    "# Run Tests\n",
-    "t = AnagramTest()\n",
-    "t.test(anagram)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "metadata": {},
-   "outputs": [
-    {
-     "ename": "NameError",
-     "evalue": "name 'anagram2' is not defined",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
-      "\u001b[0;32m<ipython-input-6-10b6a5a934e9>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtest\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0managram2\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
-      "\u001b[0;31mNameError\u001b[0m: name 'anagram2' is not defined"
-     ]
-    }
-   ],
-   "source": [
-    "t.test(anagram2)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Good Job!"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.8.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 1
-}
diff --git a/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/02-Array Pair Sum .ipynb b/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/02-Array Pair Sum .ipynb
deleted file mode 100644
index e244d06a..00000000
--- a/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/02-Array Pair Sum .ipynb	
+++ /dev/null
@@ -1,136 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Array Pair Sum\n",
-    "\n",
-    "## Problem\n",
-    "\n",
-    "Given an integer array, output all the ** *unique* ** pairs that sum up to a specific value **k**.\n",
-    "\n",
-    "So the input:\n",
-    "    \n",
-    "    pair_sum([1,3,2,2],4)\n",
-    "\n",
-    "would return **2** pairs:\n",
-    "\n",
-    "     (1,3)\n",
-    "     (2,2)\n",
-    "\n",
-    "**NOTE: FOR TESTING PURPOSES CHANGE YOUR FUNCTION SO IT OUTPUTS THE NUMBER OF PAIRS**\n",
-    "\n",
-    "## Solution\n",
-    "\n",
-    "Fill out your solution below:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def pair_sum(arr,k):\n",
-    "    counter = 0\n",
-    "    lookup = set()\n",
-    "    for num in arr:\n",
-    "        if k-num in lookup:\n",
-    "            counter+=1\n",
-    "        else:\n",
-    "            lookup.add(num)\n",
-    "    return counter\n",
-    "    pass"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "2"
-      ]
-     },
-     "execution_count": 2,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "pair_sum([1,3,2,2],4)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Test Your Solution"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "ALL TEST CASES PASSED\n"
-     ]
-    }
-   ],
-   "source": [
-    "\"\"\"\n",
-    "RUN THIS CELL TO TEST YOUR SOLUTION\n",
-    "\"\"\"\n",
-    "from nose.tools import assert_equal\n",
-    "\n",
-    "class TestPair(object):\n",
-    "    \n",
-    "    def test(self,sol):\n",
-    "        assert_equal(sol([1,9,2,8,3,7,4,6,5,5,13,14,11,13,-1],10),6)\n",
-    "        assert_equal(sol([1,2,3,1],3),1)\n",
-    "        assert_equal(sol([1,3,2,2],4),2)\n",
-    "        print('ALL TEST CASES PASSED')\n",
-    "        \n",
-    "#Run tests\n",
-    "t = TestPair()\n",
-    "t.test(pair_sum)\n",
-    "    "
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Good Job!"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.8.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 1
-}
diff --git a/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/03-Find the Missing Element .ipynb b/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/03-Find the Missing Element .ipynb
deleted file mode 100644
index 941ad803..00000000
--- a/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/03-Find the Missing Element .ipynb	
+++ /dev/null
@@ -1,164 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Find the Missing Element\n",
-    "\n",
-    "## Problem\n",
-    "\n",
-    "Consider an array of non-negative integers. A second array is formed by shuffling the elements of the first array and deleting a random element. Given these two arrays, find which element is missing in the second array. \n",
-    "\n",
-    "Here is an example input, the first array is shuffled and the number 5 is removed to construct the second array.\n",
-    "\n",
-    "Input:\n",
-    "    \n",
-    "    finder([1,2,3,4,5,6,7],[3,7,2,1,4,6])\n",
-    "\n",
-    "Output:\n",
-    "\n",
-    "    5 is the missing number\n",
-    "\n",
-    "## Solution\n",
-    "\n",
-    "Fill out your solution below:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def finder(arr1,arr2):\n",
-    "    num = 0\n",
-    "    for n in arr1:\n",
-    "        num += n\n",
-    "    for n in arr2:\n",
-    "        num -= n\n",
-    "    return num\n",
-    "    pass"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "5"
-      ]
-     },
-     "execution_count": 2,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "arr1 = [1,2,3,4,5,6,7]\n",
-    "arr2 = [3,7,2,1,4,6]\n",
-    "finder(arr1,arr2)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "5"
-      ]
-     },
-     "execution_count": 3,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "arr1 = [5,5,7,7]\n",
-    "arr2 = [5,7,7]\n",
-    "\n",
-    "finder(arr1,arr2)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "_____"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Test Your Solution"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "ALL TEST CASES PASSED\n"
-     ]
-    }
-   ],
-   "source": [
-    "\"\"\"\n",
-    "RUN THIS CELL TO TEST YOUR SOLUTION\n",
-    "\"\"\"\n",
-    "from nose.tools import assert_equal\n",
-    "\n",
-    "class TestFinder(object):\n",
-    "    \n",
-    "    def test(self,sol):\n",
-    "        assert_equal(sol([5,5,7,7],[5,7,7]),5)\n",
-    "        assert_equal(sol([1,2,3,4,5,6,7],[3,7,2,1,4,6]),5)\n",
-    "        assert_equal(sol([9,8,7,6,5,4,3,2,1],[9,8,7,5,4,3,2,1]),6)\n",
-    "        print('ALL TEST CASES PASSED')\n",
-    "\n",
-    "# Run test\n",
-    "t = TestFinder()\n",
-    "t.test(finder)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Good Job!"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.8.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 1
-}
diff --git a/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/04-Largest Continuous Sum .ipynb b/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/04-Largest Continuous Sum .ipynb
deleted file mode 100644
index 46da44ba..00000000
--- a/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/04-Largest Continuous Sum .ipynb	
+++ /dev/null
@@ -1,128 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Largest Continuous Sum\n",
-    "\n",
-    "## Problem\n",
-    "Given an array of integers (positive and negative) find the largest continuous sum. \n",
-    "\n",
-    "## Solution\n",
-    "\n",
-    "Fill out your solution below:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def large_cont_sum(arr):\n",
-    "    if len(arr) == 0:\n",
-    "        return 0\n",
-    "    \n",
-    "    max_num = sum = arr[0]# max=sum=arr[0] bug: TypeError: 'int' object is not callable. (Do not use the keyword!)\n",
-    "    \n",
-    "    for n in arr[1:]:\n",
-    "        sum = max(sum+n, n)\n",
-    "        max_num = max(sum, max_num)\n",
-    "    return max_num\n",
-    "    pass"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "29"
-      ]
-     },
-     "execution_count": 2,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "large_cont_sum([1,2,-1,3,4,10,10,-10,-1])"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "____\n",
-    "Many times in an interview setting the question also requires you to report back the start and end points of the sum. Keep this in mind and see if you can solve that problem, we'll see it in the mock interview section of the course!"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Test Your Solution"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "ALL TEST CASES PASSED\n"
-     ]
-    }
-   ],
-   "source": [
-    "from nose.tools import assert_equal\n",
-    "\n",
-    "class LargeContTest(object):\n",
-    "    def test(self,sol):\n",
-    "        assert_equal(sol([1,2,-1,3,4,-1]),9)\n",
-    "        assert_equal(sol([1,2,-1,3,4,10,10,-10,-1]),29)\n",
-    "        assert_equal(sol([-1,1]),1)\n",
-    "        print ('ALL TEST CASES PASSED')\n",
-    "        \n",
-    "#Run Test\n",
-    "t = LargeContTest()\n",
-    "t.test(large_cont_sum)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Good Job!"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.8.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 1
-}
diff --git a/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/05-Sentence Reversal.ipynb b/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/05-Sentence Reversal.ipynb
deleted file mode 100644
index 2932e34f..00000000
--- a/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/05-Sentence Reversal.ipynb	
+++ /dev/null
@@ -1,220 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Sentence Reversal\n",
-    "\n",
-    "## Problem\n",
-    "\n",
-    "Given a string of words, reverse all the words. For example:\n",
-    "\n",
-    "Given:\n",
-    "    \n",
-    "    'This is the best'\n",
-    "\n",
-    "Return:\n",
-    "\n",
-    "    'best the is This'\n",
-    "\n",
-    "As part of this exercise you should remove all leading and trailing whitespace. So that inputs such as:\n",
-    "\n",
-    "    '  space here'  and 'space here      '\n",
-    "\n",
-    "both become:\n",
-    "\n",
-    "    'here space'\n",
-    "\n",
-    "## Solution\n",
-    "\n",
-    "Fill out your solution below:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def rev_word(s):\n",
-    "    return \" \".join(reversed(s.split()))\n",
-    "    pass"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "'go? to ready you are John, Hi'"
-      ]
-     },
-     "execution_count": 2,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "rev_word('Hi John,   are you ready to go?')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "'before space'"
-      ]
-     },
-     "execution_count": 3,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "rev_word('    space before')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "'after space'"
-      ]
-     },
-     "execution_count": 4,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "rev_word('space after     ')"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Learn\n",
-    "- \" \".join()\n",
-    "- reversed()\n",
-    "- s.split()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "'\\nInit signature: reversed(self, /, *args, **kwargs)\\nDocstring:     \\nreversed(sequence) -> reverse iterator over values of the sequence\\n\\nReturn a reverse iterator\\nType:           type\\n'"
-      ]
-     },
-     "execution_count": 5,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# reversed()\n",
-    "'''\n",
-    "Init signature: reversed(self, /, *args, **kwargs)\n",
-    "Docstring:     \n",
-    "reversed(sequence) -> reverse iterator over values of the sequence\n",
-    "\n",
-    "Return a reverse iterator\n",
-    "Type:           type\n",
-    "'''"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "_____"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Test Your Solution"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "ALL TEST CASES PASSED\n"
-     ]
-    }
-   ],
-   "source": [
-    "\"\"\"\n",
-    "RUN THIS CELL TO TEST YOUR SOLUTION\n",
-    "\"\"\"\n",
-    "\n",
-    "from nose.tools import assert_equal\n",
-    "\n",
-    "class ReversalTest(object):\n",
-    "    \n",
-    "    def test(self,sol):\n",
-    "        assert_equal(sol('    space before'),'before space')\n",
-    "        assert_equal(sol('space after     '),'after space')\n",
-    "        assert_equal(sol('   Hello John    how are you   '),'you are how John Hello')\n",
-    "        assert_equal(sol('1'),'1')\n",
-    "        print (\"ALL TEST CASES PASSED\")\n",
-    "        \n",
-    "# Run and test\n",
-    "t = ReversalTest()\n",
-    "t.test(rev_word)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Good Job!"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.8.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 1
-}
diff --git a/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/06-String Compression .ipynb b/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/06-String Compression .ipynb
deleted file mode 100644
index 7e2d6929..00000000
--- a/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/06-String Compression .ipynb	
+++ /dev/null
@@ -1,143 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# String Compression\n",
-    "\n",
-    "## Problem\n",
-    "\n",
-    "Given a string in the form 'AAAABBBBCCCCCDDEEEE' compress it to become 'A4B4C5D2E4'. For this problem, you can falsely \"compress\" strings of single or double letters. For instance, it is okay for 'AAB' to return 'A2B1' even though this technically takes more space. \n",
-    "\n",
-    "The function should also be case sensitive, so that a string 'AAAaaa' returns 'A3a3'."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Solution\n",
-    "Fill out your solution below:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def compress(s):\n",
-    "    r = \"\"\n",
-    "    l = len(s)\n",
-    "    \n",
-    "    if l==0:\n",
-    "        return ''\n",
-    "    if l==1:\n",
-    "        return s+'1'\n",
-    "    \n",
-    "    last = s[0]\n",
-    "    cnt = 1\n",
-    "    i=1\n",
-    "    \n",
-    "    while i<l:\n",
-    "        if s[i]==s[i-1]:\n",
-    "            cnt += 1\n",
-    "        else:\n",
-    "            r=r+s[i-1]+str(cnt)\n",
-    "            cnt=1\n",
-    "        i+=1\n",
-    "    r = r+s[i-1]+str(cnt)\n",
-    "    return r\n",
-    "    pass"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "'A5B4C4'"
-      ]
-     },
-     "execution_count": 2,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "compress('AAAAABBBBCCCC')"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Test Your Solution"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "ALL TEST CASES PASSED\n"
-     ]
-    }
-   ],
-   "source": [
-    "\"\"\"\n",
-    "RUN THIS CELL TO TEST YOUR SOLUTION\n",
-    "\"\"\"\n",
-    "from nose.tools import assert_equal\n",
-    "\n",
-    "class TestCompress(object):\n",
-    "\n",
-    "    def test(self, sol):\n",
-    "        assert_equal(sol(''), '')\n",
-    "        assert_equal(sol('AABBCC'), 'A2B2C2')\n",
-    "        assert_equal(sol('AAABCCDDDDD'), 'A3B1C2D5')\n",
-    "        print ('ALL TEST CASES PASSED')\n",
-    "\n",
-    "# Run Tests\n",
-    "t = TestCompress()\n",
-    "t.test(compress)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Good Job!"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.8.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 1
-}
diff --git a/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/07-Unique Characters in String.ipynb b/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/07-Unique Characters in String.ipynb
deleted file mode 100644
index b565a980..00000000
--- a/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - PRACTICE/07-Unique Characters in String.ipynb	
+++ /dev/null
@@ -1,126 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Unique Characters in String\n",
-    "\n",
-    "## Problem\n",
-    "Given a string,determine if it is compreised of all unique characters. For example, the string 'abcde' has all unique characters and should return True. The string 'aabcde' contains duplicate characters and should return false."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Solution\n",
-    "Fill out your solution below:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def uni_char(s):\n",
-    "    u = set()\n",
-    "    for c in s:\n",
-    "        if c in u:\n",
-    "            return False\n",
-    "        else:\n",
-    "            u.add(c)\n",
-    "    return True\n",
-    "    pass"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Learn This One Line Solution"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# another 1-line solution\n",
-    "def uni_char2(s):\n",
-    "    return len(set(s)) == len(s)\n",
-    "    pass"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Test Your Solution"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "ALL TEST CASES PASSED\n"
-     ]
-    }
-   ],
-   "source": [
-    "\"\"\"\n",
-    "RUN THIS CELL TO TEST YOUR CODE>\n",
-    "\"\"\"\n",
-    "from nose.tools import assert_equal\n",
-    "\n",
-    "\n",
-    "class TestUnique(object):\n",
-    "\n",
-    "    def test(self, sol):\n",
-    "        assert_equal(sol(''), True)\n",
-    "        assert_equal(sol('goo'), False)\n",
-    "        assert_equal(sol('abcdefg'), True)\n",
-    "        print ('ALL TEST CASES PASSED')\n",
-    "        \n",
-    "# Run Tests\n",
-    "t = TestUnique()\n",
-    "t.test(uni_char)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Good Job!"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.8.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 1
-}
diff --git a/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/.ipynb_checkpoints/01-Anagram Check - SOLUTION-checkpoint.ipynb b/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/.ipynb_checkpoints/01-Anagram Check - SOLUTION-checkpoint.ipynb
deleted file mode 100644
index c84b3a9c..00000000
--- a/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/.ipynb_checkpoints/01-Anagram Check - SOLUTION-checkpoint.ipynb	
+++ /dev/null
@@ -1,310 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Anagram Solution\n",
-    "\n",
-    "## Problem\n",
-    "\n",
-    "Given two strings, check to see if they are anagrams. An anagram is when the two strings can be written using the exact same letters (so you can just rearrange the letters to get a different phrase or word). \n",
-    "\n",
-    "For example:\n",
-    "\n",
-    "    \"public relations\" is an anagram of \"crap built on lies.\"\n",
-    "    \n",
-    "    \"clint eastwood\" is an anagram of \"old west action\"\n",
-    "    \n",
-    "**Note: Ignore spaces and capitalization. So \"d go\" is an anagram of \"God\" and \"dog\" and \"o d g\".**\n",
-    "\n",
-    "## Solution\n",
-    "\n",
-    "There are two ways of thinking about this problem, if two strings have the same frequency of letters/element (meaning each letter shows up the same number of times in both strings) then they are anagrams of eachother. On a similar vien of logic, if two strings are equal to each other once they are sorted, then they are also anagrams of each other.\n",
-    "\n",
-    "You would be able to implement this second solution pretty easily in Python:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def anagram(s1,s2):\n",
-    "    \n",
-    "    # Remove spaces and lowercase letters\n",
-    "    s1 = s1.replace(' ','').lower()\n",
-    "    s2 = s2.replace(' ','').lower()\n",
-    "    \n",
-    "    # Return boolean for sorted match.\n",
-    "    return sorted(s1) == sorted(s2)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "True"
-      ]
-     },
-     "execution_count": 2,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "anagram('dog','god')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "True"
-      ]
-     },
-     "execution_count": 3,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "anagram('clint eastwood','old west action')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "False"
-      ]
-     },
-     "execution_count": 4,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "anagram('aa','bb')"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Now the above sorting approach is simple, but is actually not optimal and in an interview setting you would probably be asked to implement a more manual solution involving just counting the number of letters in each string to test your ability to understand hash tables. Let's build out a fuller solution using counting and Python dictionaries:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def anagram2(s1,s2):\n",
-    "    \n",
-    "    # Remove spaces and lowercase letters\n",
-    "    s1 = s1.replace(' ','').lower()\n",
-    "    s2 = s2.replace(' ','').lower()\n",
-    "    \n",
-    "    # Edge Case to check if same number of letters\n",
-    "    if len(s1) != len(s2):\n",
-    "        return False\n",
-    "    \n",
-    "    # Create counting dictionary (Note could use DefaultDict from Collections module)\n",
-    "    count = {}\n",
-    "    \n",
-    "    \n",
-    "        \n",
-    "    # Fill dictionary for first string (add counts)\n",
-    "    for letter in s1:\n",
-    "        if letter in count:\n",
-    "            count[letter] += 1\n",
-    "        else:\n",
-    "            count[letter] = 1\n",
-    "            \n",
-    "    # Fill dictionary for second string (subtract counts)\n",
-    "    for letter in s2:\n",
-    "        if letter in count:\n",
-    "            count[letter] -= 1\n",
-    "        else:\n",
-    "            count[letter] = 1\n",
-    "    \n",
-    "    # Check that all counts are 0\n",
-    "    for k in count:\n",
-    "        if count[k] != 0:\n",
-    "            return False\n",
-    "\n",
-    "    # Otherwise they're anagrams\n",
-    "    return True"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "True"
-      ]
-     },
-     "execution_count": 6,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "anagram2('dog','god')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "True"
-      ]
-     },
-     "execution_count": 7,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "anagram2('clint eastwood','old west action')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 8,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "False"
-      ]
-     },
-     "execution_count": 8,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "anagram2('dd','aa')"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "A quick note on the second solution, the use of defaultdict form the collections module would clean up this code quite a bit, and the final for loop could be built into the second for loop, but in the above implementation every step is very clear."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Test Your Solution\n",
-    "Run the cell below to test your solution"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 10,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "ALL TEST CASES PASSED\n"
-     ]
-    }
-   ],
-   "source": [
-    "\"\"\"\n",
-    "RUN THIS CELL TO TEST YOUR SOLUTION\n",
-    "\"\"\"\n",
-    "from nose.tools import assert_equal\n",
-    "\n",
-    "class AnagramTest(object):\n",
-    "    \n",
-    "    def test(self,sol):\n",
-    "        assert_equal(sol('go go go','gggooo'),True)\n",
-    "        assert_equal(sol('abc','cba'),True)\n",
-    "        assert_equal(sol('hi man','hi     man'),True)\n",
-    "        assert_equal(sol('aabbcc','aabbc'),False)\n",
-    "        assert_equal(sol('123','1 2'),False)\n",
-    "        print(\"ALL TEST CASES PASSED\")\n",
-    "\n",
-    "# Run Tests\n",
-    "t = AnagramTest()\n",
-    "t.test(anagram)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 11,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "ALL TEST CASES PASSED\n"
-     ]
-    }
-   ],
-   "source": [
-    "t.test(anagram2)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Good Job!"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.8.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 1
-}
diff --git a/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/.ipynb_checkpoints/02-Array Pair Sum - SOLUTION-checkpoint.ipynb b/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/.ipynb_checkpoints/02-Array Pair Sum - SOLUTION-checkpoint.ipynb
deleted file mode 100644
index 60849887..00000000
--- a/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/.ipynb_checkpoints/02-Array Pair Sum - SOLUTION-checkpoint.ipynb	
+++ /dev/null
@@ -1,156 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Array Pair Sum\n",
-    "\n",
-    "## Problem\n",
-    "\n",
-    "Given an integer array, output all the ** *unique* ** pairs that sum up to a specific value **k**.\n",
-    "\n",
-    "So the input:\n",
-    "    \n",
-    "    pair_sum([1,3,2,2],4)\n",
-    "\n",
-    "would return **2** pairs:\n",
-    "\n",
-    "     (1,3)\n",
-    "     (2,2)\n",
-    "\n",
-    "**NOTE: FOR TESTING PURPOSES< CHANGE YOUR FUNCTION SO IT OUTPUTS THE NUMBER OF PAIRS**\n",
-    "\n",
-    "## Solution\n",
-    "\n",
-    "The O(N) algorithm uses the set data structure. We perform a linear pass from the beginning and for each element we check whether k-element is in the set of seen numbers. If it is, then we found a pair of sum k and add it to the output. If not, this element doesn’t belong to a pair yet, and we add it to the set of seen elements. \n",
-    "\n",
-    "The algorithm is really simple once we figure out using a set. The complexity is O(N) because we do a single linear scan of the array, and for each element we just check whether the corresponding number to form a pair is in the set or add the current element to the set. Insert and find operations of a set are both average O(1), so the algorithm is O(N) in total. "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def pair_sum(arr,k):\n",
-    "    \n",
-    "    if len(arr)<2:\n",
-    "        return\n",
-    "    \n",
-    "    # Sets for tracking\n",
-    "    seen = set()\n",
-    "    output = set()\n",
-    "    \n",
-    "    # For every number in array\n",
-    "    for num in arr:\n",
-    "        \n",
-    "        # Set target difference\n",
-    "        target = k-num\n",
-    "        \n",
-    "        # Add it to set if target hasn't been seen\n",
-    "        if target not in seen:\n",
-    "            seen.add(num)\n",
-    "        \n",
-    "        else:\n",
-    "            # Add a tuple with the corresponding pair\n",
-    "            output.add( (min(num,target),  max(num,target)) )\n",
-    "    \n",
-    "    \n",
-    "    # FOR TESTING\n",
-    "    return len(output)\n",
-    "    # Nice one-liner for printing output\n",
-    "    #return '\\n'.join(map(str,list(output)))"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "2"
-      ]
-     },
-     "execution_count": 2,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "pair_sum([1,3,2,2],4)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Test Your Solution"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "ALL TEST CASES PASSED\n"
-     ]
-    }
-   ],
-   "source": [
-    "\"\"\"\n",
-    "RUN THIS CELL TO TEST YOUR SOLUTION\n",
-    "\"\"\"\n",
-    "from nose.tools import assert_equal\n",
-    "\n",
-    "class TestPair(object):\n",
-    "    \n",
-    "    def test(self,sol):\n",
-    "        assert_equal(sol([1,9,2,8,3,7,4,6,5,5,13,14,11,13,-1],10),6)\n",
-    "        assert_equal(sol([1,2,3,1],3),1)\n",
-    "        assert_equal(sol([1,3,2,2],4),2)\n",
-    "        print('ALL TEST CASES PASSED')\n",
-    "        \n",
-    "#Run tests\n",
-    "t = TestPair()\n",
-    "t.test(pair_sum)\n",
-    "    "
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Good Job!"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.8.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 1
-}
diff --git a/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/.ipynb_checkpoints/03-Find the Missing Element - SOLUTION-checkpoint.ipynb b/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/.ipynb_checkpoints/03-Find the Missing Element - SOLUTION-checkpoint.ipynb
deleted file mode 100644
index d5dab835..00000000
--- a/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/.ipynb_checkpoints/03-Find the Missing Element - SOLUTION-checkpoint.ipynb	
+++ /dev/null
@@ -1,258 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Find the Missing Element\n",
-    "\n",
-    "## Problem\n",
-    "\n",
-    "Consider an array of non-negative integers. A second array is formed by shuffling the elements of the first array and deleting a random element. Given these two arrays, find which element is missing in the second array. \n",
-    "\n",
-    "Here is an example input, the first array is shuffled and the number 5 is removed to construct the second array.\n",
-    "\n",
-    "Input:\n",
-    "    \n",
-    "    finder([1,2,3,4,5,6,7],[3,7,2,1,4,6])\n",
-    "\n",
-    "Output:\n",
-    "\n",
-    "    5 is the missing number\n",
-    "\n",
-    "## Solution\n",
-    "\n",
-    "The naive solution is go through every element in the second array and check whether it appears in the first array. Note that there may be duplicate elements in the arrays so we should pay special attention to it. The complexity of this approach is O(N^2), since we would need two for loops.\n",
-    "\n",
-    "A more efficient solution is to sort the first array, so while checking whether an element in the first array appears in the second, we can do binary search (we'll learn about binary search in more detail in a future section). But we should still be careful about duplicate elements. The complexity is O(NlogN). \n",
-    "\n",
-    "If we don’t want to deal with the special case of duplicate numbers, we can sort both arrays and iterate over them simultaneously. Once two iterators have different values we can stop. The value of the first iterator is the missing element. This solution is also O(NlogN). Here is the solution for this approach:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def finder(arr1,arr2):\n",
-    "    \n",
-    "    # Sort the arrays\n",
-    "    arr1.sort()\n",
-    "    arr2.sort()\n",
-    "    \n",
-    "    # Compare elements in the sorted arrays\n",
-    "    for num1, num2 in zip(arr1,arr2):\n",
-    "        if num1!= num2:\n",
-    "            return num1\n",
-    "    \n",
-    "    # Otherwise return last element\n",
-    "    return arr1[-1]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "5"
-      ]
-     },
-     "execution_count": 2,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "arr1 = [1,2,3,4,5,6,7]\n",
-    "arr2 = [3,7,2,1,4,6]\n",
-    "finder(arr1,arr2)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "In most interviews, you would be expected to come up with a linear time solution. We can use a hashtable and store the number of times each element appears in the second array. Then for each element in the first array we decrement its counter. Once hit an element with zero count that’s the missing element. Here is this solution: "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import collections\n",
-    "\n",
-    "def finder2(arr1, arr2): \n",
-    "    \n",
-    "    # Using default dict to avoid key errors\n",
-    "    d=collections.defaultdict(int) \n",
-    "    \n",
-    "    # Add a count for every instance in Array 1\n",
-    "    for num in arr2:\n",
-    "        d[num]+=1 \n",
-    "    \n",
-    "    # Check if num not in dictionary\n",
-    "    for num in arr1: \n",
-    "        if d[num]==0: \n",
-    "            return num \n",
-    "        \n",
-    "        # Otherwise, subtract a count\n",
-    "        else: d[num]-=1 "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "5"
-      ]
-     },
-     "execution_count": 4,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "arr1 = [5,5,7,7]\n",
-    "arr2 = [5,7,7]\n",
-    "\n",
-    "finder2(arr1,arr2)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "One possible solution is computing the sum of all the numbers in arr1 and arr2, and subtracting arr2’s sum from array1’s sum. The difference is the missing number in arr2. However, this approach could be problematic if the arrays are too long, or the numbers are very large. Then overflow will occur while summing up the numbers.\n",
-    "\n",
-    "By performing a very clever trick, we can achieve linear time and constant space complexity without any problems. Here it is: initialize a variable to 0, then [XOR](https://en.wikipedia.org/wiki/Exclusive_or) every element in the first and second arrays with that variable. In the end, the value of the variable is the result, missing element in array2."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def finder3(arr1, arr2): \n",
-    "    result=0 \n",
-    "    \n",
-    "    # Perform an XOR between the numbers in the arrays\n",
-    "    for num in arr1+arr2: \n",
-    "        result^=num \n",
-    "        print(result)\n",
-    "        \n",
-    "    return result "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "5\n",
-      "0\n",
-      "7\n",
-      "0\n",
-      "5\n",
-      "2\n",
-      "5\n"
-     ]
-    },
-    {
-     "data": {
-      "text/plain": [
-       "5"
-      ]
-     },
-     "execution_count": 7,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "finder3(arr1,arr2)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Test Your Solution"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 8,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "ALL TEST CASES PASSED\n"
-     ]
-    }
-   ],
-   "source": [
-    "\"\"\"\n",
-    "RUN THIS CELL TO TEST YOUR SOLUTION\n",
-    "\"\"\"\n",
-    "from nose.tools import assert_equal\n",
-    "\n",
-    "class TestFinder(object):\n",
-    "    \n",
-    "    def test(self,sol):\n",
-    "        assert_equal(sol([5,5,7,7],[5,7,7]),5)\n",
-    "        assert_equal(sol([1,2,3,4,5,6,7],[3,7,2,1,4,6]),5)\n",
-    "        assert_equal(sol([9,8,7,6,5,4,3,2,1],[9,8,7,5,4,3,2,1]),6)\n",
-    "        print('ALL TEST CASES PASSED')\n",
-    "\n",
-    "# Run test\n",
-    "t = TestFinder()\n",
-    "t.test(finder)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Good Job!"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.8.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 1
-}
diff --git a/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/.ipynb_checkpoints/04-Largest Continuous Sum - SOLUTION-checkpoint.ipynb b/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/.ipynb_checkpoints/04-Largest Continuous Sum - SOLUTION-checkpoint.ipynb
deleted file mode 100644
index 6ba55d10..00000000
--- a/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/.ipynb_checkpoints/04-Largest Continuous Sum - SOLUTION-checkpoint.ipynb	
+++ /dev/null
@@ -1,140 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Largest Continuous Sum\n",
-    "\n",
-    "## Problem\n",
-    "Given an array of integers (positive and negative) find the largest continuous sum. \n",
-    "\n",
-    "## Solution\n",
-    "\n",
-    "If the array is all positive, then the result is simply the sum of all numbers. The negative numbers in the array will cause us to need to begin checking sequences.  \n",
-    "\n",
-    "The algorithm is, we start summing up the numbers and store in a current sum variable. After adding each element, we check whether the current sum is larger than maximum sum encountered so far. If it is, we update the maximum sum. As long as the current sum is positive, we keep adding the numbers. When the current sum becomes negative, we start with a new current sum. Because a negative current sum will only decrease the sum of a future sequence. Note that we don’t reset the current sum to 0 because the array can contain all negative integers. Then the result would be the largest negative number. \n",
-    "\n",
-    "Let's see the code:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def large_cont_sum(arr): \n",
-    "    \n",
-    "    # Check to see if array is length 0\n",
-    "    if len(arr)==0: \n",
-    "        return 0\n",
-    "    \n",
-    "    # Start the max and current sum at the first element\n",
-    "    max_sum=current_sum=arr[0] \n",
-    "    \n",
-    "    # For every element in array\n",
-    "    for num in arr[1:]: \n",
-    "        \n",
-    "        # Set current sum as the higher of the two\n",
-    "        current_sum=max(current_sum+num, num)\n",
-    "        \n",
-    "        # Set max as the higher between the currentSum and the current max\n",
-    "        max_sum=max(current_sum, max_sum) \n",
-    "        \n",
-    "    return max_sum "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "29"
-      ]
-     },
-     "execution_count": 2,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "large_cont_sum([1,2,-1,3,4,10,10,-10,-1])"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "____\n",
-    "Many times in an interview setting the question also requires you to report back the start and end points of the sum. Keep this in mind and see if you can solve that problem, we'll see it in the mock interview section of the course!"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Test Your Solution"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "ALL TEST CASES PASSED\n"
-     ]
-    }
-   ],
-   "source": [
-    "from nose.tools import assert_equal\n",
-    "\n",
-    "class LargeContTest(object):\n",
-    "    def test(self,sol):\n",
-    "        assert_equal(sol([1,2,-1,3,4,-1]),9)\n",
-    "        assert_equal(sol([1,2,-1,3,4,10,10,-10,-1]),29)\n",
-    "        assert_equal(sol([-1,1]),1)\n",
-    "        print('ALL TEST CASES PASSED')\n",
-    "        \n",
-    "#Run Test\n",
-    "t = LargeContTest()\n",
-    "t.test(large_cont_sum)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Good Job!"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.8.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 1
-}
diff --git a/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/.ipynb_checkpoints/05-Sentence Reversal - SOLUTION-checkpoint.ipynb b/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/.ipynb_checkpoints/05-Sentence Reversal - SOLUTION-checkpoint.ipynb
deleted file mode 100644
index 99449f2d..00000000
--- a/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/.ipynb_checkpoints/05-Sentence Reversal - SOLUTION-checkpoint.ipynb	
+++ /dev/null
@@ -1,257 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Sentence Reversal\n",
-    "\n",
-    "## Problem\n",
-    "\n",
-    "Given a string of words, reverse all the words. For example:\n",
-    "\n",
-    "Given:\n",
-    "    \n",
-    "    'This is the best'\n",
-    "\n",
-    "Return:\n",
-    "\n",
-    "    'best the is This'\n",
-    "\n",
-    "As part of this exercise you should remove all leading and trailing whitespace. So that inputs such as:\n",
-    "\n",
-    "    '  space here'  and 'space here      '\n",
-    "\n",
-    "both become:\n",
-    "\n",
-    "    'here space'\n",
-    "\n",
-    "## Solution\n",
-    "\n",
-    "We could take advantage of Python's abilities and solve the problem with the use of **split()** and some slicing or use of **reversed**:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def rev_word1(s):\n",
-    "    return \" \".join(reversed(s.split()))\n",
-    "\n",
-    "#Or\n",
-    "\n",
-    "def rev_word2(s):\n",
-    "    return \" \".join(s.split()[::-1])"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "'go? to ready you are John, Hi'"
-      ]
-     },
-     "execution_count": 2,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "rev_word1('Hi John,   are you ready to go?')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "'go? to ready you are John, Hi'"
-      ]
-     },
-     "execution_count": 3,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "rev_word2('Hi John,   are you ready to go?')"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "While these are valid solutions, in an interview setting you'll have to work out the basic algorithm that is used. In this case what we want to do is loop over the text and extract words form the string ourselves. Then we can push the words to a \"stack\" and in the end opo them all to reverse. Let's see what this actually looks like:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def rev_word3(s):\n",
-    "    \"\"\"\n",
-    "    Manually doing the splits on the spaces.\n",
-    "    \"\"\"\n",
-    "    \n",
-    "    words = []\n",
-    "    length = len(s)\n",
-    "    spaces = [' ']\n",
-    "    \n",
-    "    # Index Tracker\n",
-    "    i = 0\n",
-    "    \n",
-    "    # While index is less than length of string\n",
-    "    while i < length:\n",
-    "        \n",
-    "        # If element isn't a space\n",
-    "        if s[i] not in spaces:\n",
-    "            \n",
-    "            # The word starts at this index\n",
-    "            word_start = i\n",
-    "            \n",
-    "            while i < length and s[i] not in spaces:\n",
-    "                \n",
-    "                # Get index where word ends\n",
-    "                i += 1\n",
-    "            # Append that word to the list\n",
-    "            words.append(s[word_start:i])\n",
-    "        # Add to index\n",
-    "        i += 1\n",
-    "        \n",
-    "    # Join the reversed words\n",
-    "    return \" \".join(reversed(words))"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "'you are how John Hello'"
-      ]
-     },
-     "execution_count": 5,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "rev_word3('   Hello John    how are you   ')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "'before space'"
-      ]
-     },
-     "execution_count": 6,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "rev_word3('    space before')"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "If you want you can further develop this solution so its all manual, you can create your own reversal function."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Test Your Solution"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "metadata": {},
-   "outputs": [
-    {
-     "ename": "NameError",
-     "evalue": "name 'rev_word' is not defined",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
-      "\u001b[0;32m<ipython-input-7-2dee392751be>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m     16\u001b[0m \u001b[0;31m# Run and test\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     17\u001b[0m \u001b[0mt\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mReversalTest\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 18\u001b[0;31m \u001b[0mt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtest\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mrev_word\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
-      "\u001b[0;31mNameError\u001b[0m: name 'rev_word' is not defined"
-     ]
-    }
-   ],
-   "source": [
-    "\"\"\"\n",
-    "RUN THIS CELL TO TEST YOUR SOLUTION\n",
-    "\"\"\"\n",
-    "\n",
-    "from nose.tools import assert_equal\n",
-    "\n",
-    "class ReversalTest(object):\n",
-    "    \n",
-    "    def test(self,sol):\n",
-    "        assert_equal(sol('    space before'),'before space')\n",
-    "        assert_equal(sol('space after     '),'after space')\n",
-    "        assert_equal(sol('   Hello John    how are you   '),'you are how John Hello')\n",
-    "        assert_equal(sol('1'),'1')\n",
-    "        print(\"ALL TEST CASES PASSED\")\n",
-    "        \n",
-    "# Run and test\n",
-    "t = ReversalTest()\n",
-    "t.test(rev_word)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Good Job!"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.8.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 1
-}
diff --git a/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/.ipynb_checkpoints/06-String Compression -SOLUTION-checkpoint.ipynb b/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/.ipynb_checkpoints/06-String Compression -SOLUTION-checkpoint.ipynb
deleted file mode 100644
index d027573e..00000000
--- a/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/.ipynb_checkpoints/06-String Compression -SOLUTION-checkpoint.ipynb	
+++ /dev/null
@@ -1,162 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# String Compression\n",
-    "\n",
-    "## Problem\n",
-    "\n",
-    "Given a string in the form 'AAAABBBBCCCCCDDEEEE' compress it to become 'A4B4C5D2E4'. For this problem, you can falsely \"compress\" strings of single or double letters. For instance, it is okay for 'AAB' to return 'A2B1' even though this technically takes more space. \n",
-    "\n",
-    "The function should also be case sensitive, so that a string 'AAAaaa' returns 'A3a3'."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Solution\n",
-    "Since Python strings are immutable, we'll need to work off of a list of characters, and at the end convert that list back into a string with a **join** statement.\n",
-    "\n",
-    "The solution below should yield us with a Time and Space complexity of O(n). Let's take a look with careful attention to the explanatory comments:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def compress(s):\n",
-    "    \"\"\"\n",
-    "    This solution compresses without checking. Known as the RunLength Compression algorithm.\n",
-    "    \"\"\"\n",
-    "    \n",
-    "    # Begin Run as empty string\n",
-    "    r = \"\"\n",
-    "    l = len(s)\n",
-    "    \n",
-    "    # Check for length 0\n",
-    "    if l == 0:\n",
-    "        return \"\"\n",
-    "    \n",
-    "    # Check for length 1\n",
-    "    if l == 1:\n",
-    "        return s + \"1\"\n",
-    "    \n",
-    "    #Intialize Values\n",
-    "    last = s[0]\n",
-    "    cnt = 1\n",
-    "    i = 1\n",
-    "    \n",
-    "    while i < l:\n",
-    "        \n",
-    "        # Check to see if it is the same letter\n",
-    "        if s[i] == s[i - 1]: \n",
-    "            # Add a count if same as previous\n",
-    "            cnt += 1\n",
-    "        else:\n",
-    "            # Otherwise store the previous data\n",
-    "            r = r + s[i - 1] + str(cnt)\n",
-    "            cnt = 1\n",
-    "            \n",
-    "        # Add to index count to terminate while loop\n",
-    "        i += 1\n",
-    "    \n",
-    "    # Put everything back into run\n",
-    "    r = r + s[i - 1] + str(cnt)\n",
-    "    \n",
-    "    return r"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "'A5B4C4'"
-      ]
-     },
-     "execution_count": 2,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "compress('AAAAABBBBCCCC')"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Test Your Solution"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "ALL TEST CASES PASSED\n"
-     ]
-    }
-   ],
-   "source": [
-    "\"\"\"\n",
-    "RUN THIS CELL TO TEST YOUR SOLUTION\n",
-    "\"\"\"\n",
-    "from nose.tools import assert_equal\n",
-    "\n",
-    "class TestCompress(object):\n",
-    "\n",
-    "    def test(self, sol):\n",
-    "        assert_equal(sol(''), '')\n",
-    "        assert_equal(sol('AABBCC'), 'A2B2C2')\n",
-    "        assert_equal(sol('AAABCCDDDDD'), 'A3B1C2D5')\n",
-    "        print('ALL TEST CASES PASSED')\n",
-    "\n",
-    "# Run Tests\n",
-    "t = TestCompress()\n",
-    "t.test(compress)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Good Job!"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.8.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 1
-}
diff --git a/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/.ipynb_checkpoints/07-Unique Characters in String - SOLUTION-checkpoint.ipynb b/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/.ipynb_checkpoints/07-Unique Characters in String - SOLUTION-checkpoint.ipynb
deleted file mode 100644
index 7ff82318..00000000
--- a/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/.ipynb_checkpoints/07-Unique Characters in String - SOLUTION-checkpoint.ipynb	
+++ /dev/null
@@ -1,118 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Unique Characters in String\n",
-    "\n",
-    "## Problem\n",
-    "Given a string,determine if it is compreised of all unique characters. For example, the string 'abcde' has all unique characters and should return True. The string 'aabcde' contains duplicate characters and should return false."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Solution\n",
-    "We'll show two possible solutions, one using a built-in data structure and a built in function, and another using a built-in data structure but using a look-up method to check if the characters are unique."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def uni_char(s):\n",
-    "    return len(set(s)) == len(s)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def uni_char2(s):\n",
-    "    chars = set()\n",
-    "    for let in s:\n",
-    "        # Check if in set\n",
-    "        if let in chars:\n",
-    "            return False\n",
-    "        else:\n",
-    "            #Add it to the set\n",
-    "            chars.add(let)\n",
-    "    return True"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Test Your Solution"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "ALL TEST CASES PASSED\n"
-     ]
-    }
-   ],
-   "source": [
-    "\"\"\"\n",
-    "RUN THIS CELL TO TEST YOUR CODE>\n",
-    "\"\"\"\n",
-    "from nose.tools import assert_equal\n",
-    "\n",
-    "\n",
-    "class TestUnique(object):\n",
-    "\n",
-    "    def test(self, sol):\n",
-    "        assert_equal(sol(''), True)\n",
-    "        assert_equal(sol('goo'), False)\n",
-    "        assert_equal(sol('abcdefg'), True)\n",
-    "        print('ALL TEST CASES PASSED')\n",
-    "        \n",
-    "# Run Tests\n",
-    "t = TestUnique()\n",
-    "t.test(uni_char)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Good Job!"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.8.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 1
-}
diff --git a/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/.ipynb_checkpoints/Anagram Check - SOLUTION-checkpoint.ipynb b/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/.ipynb_checkpoints/Anagram Check - SOLUTION-checkpoint.ipynb
deleted file mode 100644
index bff6a2f4..00000000
--- a/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/.ipynb_checkpoints/Anagram Check - SOLUTION-checkpoint.ipynb	
+++ /dev/null
@@ -1,330 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Anagram Solution\n",
-    "\n",
-    "## Problem\n",
-    "\n",
-    "Given two strings, check to see if they are anagrams. An anagram is when the two strings can be written using the exact same letters (so you can just rearrange the letters to get a different phrase or word). \n",
-    "\n",
-    "For example:\n",
-    "\n",
-    "    \"public relations\" is an anagram of \"crap built on lies.\"\n",
-    "    \n",
-    "    \"clint eastwood\" is an anagram of \"old west action\"\n",
-    "    \n",
-    "**Note: Ignore spaces and capitalization. So \"d go\" is an anagram of \"God\" and \"dog\" and \"o d g\".**\n",
-    "\n",
-    "## Solution\n",
-    "\n",
-    "There are two ways of thinking about this problem, if two strings have the same frequency of letters/element (meaning each letter shows up the same number of times in both strings) then they are anagrams of eachother. On a similar vien of logic, if two strings are equal to each other once they are sorted, then they are also anagrams of each other.\n",
-    "\n",
-    "You would be able to implement this second solution pretty easily in Python:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 26,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [],
-   "source": [
-    "def anagram(s1,s2):\n",
-    "    \n",
-    "    # Remove spaces and lowercase letters\n",
-    "    s1 = s1.replace(' ','').lower()\n",
-    "    s2 = s2.replace(' ','').lower()\n",
-    "    \n",
-    "    # Return boolean for sorted match.\n",
-    "    return sorted(s1) == sorted(s2)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 27,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "True"
-      ]
-     },
-     "execution_count": 27,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "anagram('dog','god')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 34,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "True"
-      ]
-     },
-     "execution_count": 34,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "anagram('clint eastwood','old west action')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 35,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "False"
-      ]
-     },
-     "execution_count": 35,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "anagram('aa','bb')"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Now the above sorting approach is simple, but is actually not optimal and in an interview setting you would probably be asked to implement a more manual solution involving just counting the number of letters in each string to test your ability to understand hash tables. Let's build out a fuller solution using counting and Python dictionaries:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 37,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [],
-   "source": [
-    "def anagram2(s1,s2):\n",
-    "    \n",
-    "    # Remove spaces and lowercase letters\n",
-    "    s1 = s1.replace(' ','').lower()\n",
-    "    s2 = s2.replace(' ','').lower()\n",
-    "    \n",
-    "    # Edge Case to check if same number of letters\n",
-    "    if len(s1) != len(s2):\n",
-    "        return False\n",
-    "    \n",
-    "    # Create counting dictionary (Note could use DefaultDict from Collections module)\n",
-    "    count = {}\n",
-    "    \n",
-    "    \n",
-    "        \n",
-    "    # Fill dictionary for first string (add counts)\n",
-    "    for letter in s1:\n",
-    "        if letter in count:\n",
-    "            count[letter] += 1\n",
-    "        else:\n",
-    "            count[letter] = 1\n",
-    "            \n",
-    "    # Fill dictionary for second string (subtract counts)\n",
-    "    for letter in s2:\n",
-    "        if letter in count:\n",
-    "            count[letter] -= 1\n",
-    "        else:\n",
-    "            count[letter] = 1\n",
-    "    \n",
-    "    # Check that all counts are 0\n",
-    "    for k in count:\n",
-    "        if count[k] != 0:\n",
-    "            return False\n",
-    "\n",
-    "    # Otherwise they're anagrams\n",
-    "    return True"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 38,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "True"
-      ]
-     },
-     "execution_count": 38,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "anagram2('dog','god')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 39,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "True"
-      ]
-     },
-     "execution_count": 39,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "anagram2('clint eastwood','old west action')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 41,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "False"
-      ]
-     },
-     "execution_count": 41,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "anagram2('dd','aa')"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "A quick note on the second solution, the use of defaultdict form the collections module would clean up this code quite a bit, and the final for loop could be built into the second for loop, but in the above implementation every step is very clear."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Test Your Solution\n",
-    "Run the cell below to test your solution"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 44,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "ALL TEST CASES PASSED\n"
-     ]
-    }
-   ],
-   "source": [
-    "\"\"\"\n",
-    "RUN THIS CELL TO TEST YOUR SOLUTION\n",
-    "\"\"\"\n",
-    "from nose.tools import assert_equal\n",
-    "\n",
-    "class AnagramTest(object):\n",
-    "    \n",
-    "    def test(self,sol):\n",
-    "        assert_equal(sol('go go go','gggooo'),True)\n",
-    "        assert_equal(sol('abc','cba'),True)\n",
-    "        assert_equal(sol('hi man','hi     man'),True)\n",
-    "        assert_equal(sol('aabbcc','aabbc'),False)\n",
-    "        assert_equal(sol('123','1 2'),False)\n",
-    "        print \"ALL TEST CASES PASSED\"\n",
-    "\n",
-    "# Run Tests\n",
-    "t = AnagramTest()\n",
-    "t.test(anagram)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 45,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "ALL TEST CASES PASSED\n"
-     ]
-    }
-   ],
-   "source": [
-    "t.test(anagram2)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Good Job!"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 2",
-   "language": "python",
-   "name": "python2"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 2
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.11"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 0
-}
diff --git a/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/.ipynb_checkpoints/Array Pair Sum - SOLUTION-checkpoint.ipynb b/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/.ipynb_checkpoints/Array Pair Sum - SOLUTION-checkpoint.ipynb
deleted file mode 100644
index 2419f818..00000000
--- a/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/.ipynb_checkpoints/Array Pair Sum - SOLUTION-checkpoint.ipynb	
+++ /dev/null
@@ -1,162 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Array Pair Sum\n",
-    "\n",
-    "## Problem\n",
-    "\n",
-    "Given an integer array, output all the ** *unique* ** pairs that sum up to a specific value **k**.\n",
-    "\n",
-    "So the input:\n",
-    "    \n",
-    "    pair_sum([1,3,2,2],4)\n",
-    "\n",
-    "would return **2** pairs:\n",
-    "\n",
-    "     (1,3)\n",
-    "     (2,2)\n",
-    "\n",
-    "**NOTE: FOR TESTING PURPOSES< CHANGE YOUR FUNCTION SO IT OUTPUTS THE NUMBER OF PAIRS**\n",
-    "\n",
-    "## Solution\n",
-    "\n",
-    "The O(N) algorithm uses the set data structure. We perform a linear pass from the beginning and for each element we check whether k-element is in the set of seen numbers. If it is, then we found a pair of sum k and add it to the output. If not, this element doesn’t belong to a pair yet, and we add it to the set of seen elements. \n",
-    "\n",
-    "The algorithm is really simple once we figure out using a set. The complexity is O(N) because we do a single linear scan of the array, and for each element we just check whether the corresponding number to form a pair is in the set or add the current element to the set. Insert and find operations of a set are both average O(1), so the algorithm is O(N) in total. "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 11,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "def pair_sum(arr,k):\n",
-    "    \n",
-    "    if len(arr)<2:\n",
-    "        return\n",
-    "    \n",
-    "    # Sets for tracking\n",
-    "    seen = set()\n",
-    "    output = set()\n",
-    "    \n",
-    "    # For every number in array\n",
-    "    for num in arr:\n",
-    "        \n",
-    "        # Set target difference\n",
-    "        target = k-num\n",
-    "        \n",
-    "        # Add it to set if target hasn't been seen\n",
-    "        if target not in seen:\n",
-    "            seen.add(num)\n",
-    "        \n",
-    "        else:\n",
-    "            # Add a tuple with the corresponding pair\n",
-    "            output.add( (min(num,target),  max(num,target)) )\n",
-    "    \n",
-    "    \n",
-    "    # FOR TESTING\n",
-    "    return len(output)\n",
-    "    # Nice one-liner for printing output\n",
-    "    #return '\\n'.join(map(str,list(output)))"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 14,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "2"
-      ]
-     },
-     "execution_count": 14,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "pair_sum([1,3,2,2],4)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Test Your Solution"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 16,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "ALL TEST CASES PASSED\n"
-     ]
-    }
-   ],
-   "source": [
-    "\"\"\"\n",
-    "RUN THIS CELL TO TEST YOUR SOLUTION\n",
-    "\"\"\"\n",
-    "from nose.tools import assert_equal\n",
-    "\n",
-    "class TestPair(object):\n",
-    "    \n",
-    "    def test(self,sol):\n",
-    "        assert_equal(sol([1,9,2,8,3,7,4,6,5,5,13,14,11,13,-1],10),6)\n",
-    "        assert_equal(sol([1,2,3,1],3),1)\n",
-    "        assert_equal(sol([1,3,2,2],4),2)\n",
-    "        print 'ALL TEST CASES PASSED'\n",
-    "        \n",
-    "#Run tests\n",
-    "t = TestPair()\n",
-    "t.test(pair_sum)\n",
-    "    "
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Good Job!"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 2",
-   "language": "python",
-   "name": "python2"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 2
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 0
-}
diff --git a/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/.ipynb_checkpoints/Find the Missing Element - SOLUTION-checkpoint.ipynb b/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/.ipynb_checkpoints/Find the Missing Element - SOLUTION-checkpoint.ipynb
deleted file mode 100644
index 0b216746..00000000
--- a/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/.ipynb_checkpoints/Find the Missing Element - SOLUTION-checkpoint.ipynb	
+++ /dev/null
@@ -1,272 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Find the Missing Element\n",
-    "\n",
-    "## Problem\n",
-    "\n",
-    "Consider an array of non-negative integers. A second array is formed by shuffling the elements of the first array and deleting a random element. Given these two arrays, find which element is missing in the second array. \n",
-    "\n",
-    "Here is an example input, the first array is shuffled and the number 5 is removed to construct the second array.\n",
-    "\n",
-    "Input:\n",
-    "    \n",
-    "    finder([1,2,3,4,5,6,7],[3,7,2,1,4,6])\n",
-    "\n",
-    "Output:\n",
-    "\n",
-    "    5 is the missing number\n",
-    "\n",
-    "## Solution\n",
-    "\n",
-    "The naive solution is go through every element in the second array and check whether it appears in the first array. Note that there may be duplicate elements in the arrays so we should pay special attention to it. The complexity of this approach is O(N^2), since we would need two for loops.\n",
-    "\n",
-    "A more efficient solution is to sort the first array, so while checking whether an element in the first array appears in the second, we can do binary search (we'll learn about binary search in more detail in a future section). But we should still be careful about duplicate elements. The complexity is O(NlogN). \n",
-    "\n",
-    "If we don’t want to deal with the special case of duplicate numbers, we can sort both arrays and iterate over them simultaneously. Once two iterators have different values we can stop. The value of the first iterator is the missing element. This solution is also O(NlogN). Here is the solution for this approach:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "def finder(arr1,arr2):\n",
-    "    \n",
-    "    # Sort the arrays\n",
-    "    arr1.sort()\n",
-    "    arr2.sort()\n",
-    "    \n",
-    "    # Compare elements in the sorted arrays\n",
-    "    for num1, num2 in zip(arr1,arr2):\n",
-    "        if num1!= num2:\n",
-    "            return num1\n",
-    "    \n",
-    "    # Otherwise return last element\n",
-    "    return arr1[-1]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 46,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "5"
-      ]
-     },
-     "execution_count": 46,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "arr1 = [1,2,3,4,5,6,7]\n",
-    "arr2 = [3,7,2,1,4,6]\n",
-    "finder(arr1,arr2)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "In most interviews, you would be expected to come up with a linear time solution. We can use a hashtable and store the number of times each element appears in the second array. Then for each element in the first array we decrement its counter. Once hit an element with zero count that’s the missing element. Here is this solution: "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 44,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [],
-   "source": [
-    "import collections\n",
-    "\n",
-    "def finder2(arr1, arr2): \n",
-    "    \n",
-    "    # Using default dict to avoid key errors\n",
-    "    d=collections.defaultdict(int) \n",
-    "    \n",
-    "    # Add a count for every instance in Array 1\n",
-    "    for num in arr2:\n",
-    "        d[num]+=1 \n",
-    "    \n",
-    "    # Check if num not in dictionary\n",
-    "    for num in arr1: \n",
-    "        if d[num]==0: \n",
-    "            return num \n",
-    "        \n",
-    "        # Otherwise, subtract a count\n",
-    "        else: d[num]-=1 "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 47,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "5"
-      ]
-     },
-     "execution_count": 47,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "arr1 = [5,5,7,7]\n",
-    "arr2 = [5,7,7]\n",
-    "\n",
-    "finder2(arr1,arr2)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "One possible solution is computing the sum of all the numbers in arr1 and arr2, and subtracting arr2’s sum from array1’s sum. The difference is the missing number in arr2. However, this approach could be problematic if the arrays are too long, or the numbers are very large. Then overflow will occur while summing up the numbers.\n",
-    "\n",
-    "By performing a very clever trick, we can achieve linear time and constant space complexity without any problems. Here it is: initialize a variable to 0, then [XOR](https://en.wikipedia.org/wiki/Exclusive_or) every element in the first and second arrays with that variable. In the end, the value of the variable is the result, missing element in array2."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 38,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "def finder3(arr1, arr2): \n",
-    "    result=0 \n",
-    "    \n",
-    "    # Perform an XOR between the numbers in the arrays\n",
-    "    for num in arr1+arr2: \n",
-    "        result^=num \n",
-    "        print result\n",
-    "        \n",
-    "    return result "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 39,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "5\n",
-      "0\n",
-      "7\n",
-      "0\n",
-      "5\n",
-      "2\n",
-      "5\n"
-     ]
-    },
-    {
-     "data": {
-      "text/plain": [
-       "5"
-      ]
-     },
-     "execution_count": 39,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "finder3(arr1,arr2)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Test Your Solution"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 43,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "ALL TEST CASES PASSED\n"
-     ]
-    }
-   ],
-   "source": [
-    "\"\"\"\n",
-    "RUN THIS CELL TO TEST YOUR SOLUTION\n",
-    "\"\"\"\n",
-    "from nose.tools import assert_equal\n",
-    "\n",
-    "class TestFinder(object):\n",
-    "    \n",
-    "    def test(self,sol):\n",
-    "        assert_equal(sol([5,5,7,7],[5,7,7]),5)\n",
-    "        assert_equal(sol([1,2,3,4,5,6,7],[3,7,2,1,4,6]),5)\n",
-    "        assert_equal(sol([9,8,7,6,5,4,3,2,1],[9,8,7,5,4,3,2,1]),6)\n",
-    "        print 'ALL TEST CASES PASSED'\n",
-    "\n",
-    "# Run test\n",
-    "t = TestFinder()\n",
-    "t.test(finder)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Good Job!"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 2",
-   "language": "python",
-   "name": "python2"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 2
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 0
-}
diff --git a/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/.ipynb_checkpoints/Largest Continuous Sum - SOLUTION-checkpoint.ipynb b/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/.ipynb_checkpoints/Largest Continuous Sum - SOLUTION-checkpoint.ipynb
deleted file mode 100644
index 153410ab..00000000
--- a/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/.ipynb_checkpoints/Largest Continuous Sum - SOLUTION-checkpoint.ipynb	
+++ /dev/null
@@ -1,146 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Largest Continuous Sum\n",
-    "\n",
-    "## Problem\n",
-    "Given an array of integers (positive and negative) find the largest continuous sum. \n",
-    "\n",
-    "## Solution\n",
-    "\n",
-    "If the array is all positive, then the result is simply the sum of all numbers. The negative numbers in the array will cause us to need to begin checking sequences.  \n",
-    "\n",
-    "The algorithm is, we start summing up the numbers and store in a current sum variable. After adding each element, we check whether the current sum is larger than maximum sum encountered so far. If it is, we update the maximum sum. As long as the current sum is positive, we keep adding the numbers. When the current sum becomes negative, we start with a new current sum. Because a negative current sum will only decrease the sum of a future sequence. Note that we don’t reset the current sum to 0 because the array can contain all negative integers. Then the result would be the largest negative number. \n",
-    "\n",
-    "Let's see the code:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 18,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [],
-   "source": [
-    "def large_cont_sum(arr): \n",
-    "    \n",
-    "    # Check to see if array is length 0\n",
-    "    if len(arr)==0: \n",
-    "        return 0\n",
-    "    \n",
-    "    # Start the max and current sum at the first element\n",
-    "    max_sum=current_sum=arr[0] \n",
-    "    \n",
-    "    # For every element in array\n",
-    "    for num in arr[1:]: \n",
-    "        \n",
-    "        # Set current sum as the higher of the two\n",
-    "        current_sum=max(current_sum+num, num)\n",
-    "        \n",
-    "        # Set max as the higher between the currentSum and the current max\n",
-    "        max_sum=max(current_sum, max_sum) \n",
-    "        \n",
-    "    return max_sum "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 25,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "29"
-      ]
-     },
-     "execution_count": 25,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "large_cont_sum([1,2,-1,3,4,10,10,-10,-1])"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "____\n",
-    "Many times in an interview setting the question also requires you to report back the start and end points of the sum. Keep this in mind and see if you can solve that problem, we'll see it in the mock interview section of the course!"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Test Your Solution"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 28,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "ALL TEST CASES PASSED\n"
-     ]
-    }
-   ],
-   "source": [
-    "from nose.tools import assert_equal\n",
-    "\n",
-    "class LargeContTest(object):\n",
-    "    def test(self,sol):\n",
-    "        assert_equal(sol([1,2,-1,3,4,-1]),9)\n",
-    "        assert_equal(sol([1,2,-1,3,4,10,10,-10,-1]),29)\n",
-    "        assert_equal(sol([-1,1]),1)\n",
-    "        print 'ALL TEST CASES PASSED'\n",
-    "        \n",
-    "#Run Test\n",
-    "t = LargeContTest()\n",
-    "t.test(large_cont_sum)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Good Job!"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 2",
-   "language": "python",
-   "name": "python2"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 2
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 0
-}
diff --git a/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/.ipynb_checkpoints/Sentence Reversal - SOLUTION-checkpoint.ipynb b/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/.ipynb_checkpoints/Sentence Reversal - SOLUTION-checkpoint.ipynb
deleted file mode 100644
index 6a78183c..00000000
--- a/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/.ipynb_checkpoints/Sentence Reversal - SOLUTION-checkpoint.ipynb	
+++ /dev/null
@@ -1,267 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Sentence Reversal\n",
-    "\n",
-    "## Problem\n",
-    "\n",
-    "Given a string of words, reverse all the words. For example:\n",
-    "\n",
-    "Given:\n",
-    "    \n",
-    "    'This is the best'\n",
-    "\n",
-    "Return:\n",
-    "\n",
-    "    'best the is This'\n",
-    "\n",
-    "As part of this exercise you should remove all leading and trailing whitespace. So that inputs such as:\n",
-    "\n",
-    "    '  space here'  and 'space here      '\n",
-    "\n",
-    "both become:\n",
-    "\n",
-    "    'here space'\n",
-    "\n",
-    "## Solution\n",
-    "\n",
-    "We could take advantage of Python's abilities and solve the problem with the use of **split()** and some slicing or use of **reversed**:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "def rev_word1(s):\n",
-    "    return \" \".join(reversed(s.split()))\n",
-    "\n",
-    "#Or\n",
-    "\n",
-    "def rev_word2(s):\n",
-    "    return \" \".join(s.split()[::-1])"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "'go? to ready you are John, Hi'"
-      ]
-     },
-     "execution_count": 4,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "rev_word1('Hi John,   are you ready to go?')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "'go? to ready you are John, Hi'"
-      ]
-     },
-     "execution_count": 6,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "rev_word2('Hi John,   are you ready to go?')"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "While these are valid solutions, in an interview setting you'll have to work out the basic algorithm that is used. In this case what we want to do is loop over the text and extract words form the string ourselves. Then we can push the words to a \"stack\" and in the end opo them all to reverse. Let's see what this actually looks like:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 16,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "def rev_word3(s):\n",
-    "    \"\"\"\n",
-    "    Manually doing the splits on the spaces.\n",
-    "    \"\"\"\n",
-    "    \n",
-    "    words = []\n",
-    "    length = len(s)\n",
-    "    spaces = [' ']\n",
-    "    \n",
-    "    # Index Tracker\n",
-    "    i = 0\n",
-    "    \n",
-    "    # While index is less than length of string\n",
-    "    while i < length:\n",
-    "        \n",
-    "        # If element isn't a space\n",
-    "        if s[i] not in spaces:\n",
-    "            \n",
-    "            # The word starts at this index\n",
-    "            word_start = i\n",
-    "            \n",
-    "            while i < length and s[i] not in spaces:\n",
-    "                \n",
-    "                # Get index where word ends\n",
-    "                i += 1\n",
-    "            # Append that word to the list\n",
-    "            words.append(s[word_start:i])\n",
-    "        # Add to index\n",
-    "        i += 1\n",
-    "        \n",
-    "    # Join the reversed words\n",
-    "    return \" \".join(reversed(words))"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 19,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "'you are how John Hello'"
-      ]
-     },
-     "execution_count": 19,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "rev_word3('   Hello John    how are you   ')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 20,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "'before space'"
-      ]
-     },
-     "execution_count": 20,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "rev_word3('    space before')"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "If you want you can further develop this solution so its all manual, you can create your own reversal function."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Test Your Solution"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 24,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "ALL TEST CASES PASSED\n"
-     ]
-    }
-   ],
-   "source": [
-    "\"\"\"\n",
-    "RUN THIS CELL TO TEST YOUR SOLUTION\n",
-    "\"\"\"\n",
-    "\n",
-    "from nose.tools import assert_equal\n",
-    "\n",
-    "class ReversalTest(object):\n",
-    "    \n",
-    "    def test(self,sol):\n",
-    "        assert_equal(sol('    space before'),'before space')\n",
-    "        assert_equal(sol('space after     '),'after space')\n",
-    "        assert_equal(sol('   Hello John    how are you   '),'you are how John Hello')\n",
-    "        assert_equal(sol('1'),'1')\n",
-    "        print \"ALL TEST CASES PASSED\"\n",
-    "        \n",
-    "# Run and test\n",
-    "t = ReversalTest()\n",
-    "t.test(rev_word)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Good Job!"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 2",
-   "language": "python",
-   "name": "python2"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 2
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 0
-}
diff --git a/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/.ipynb_checkpoints/String Compression -SOLUTION-checkpoint.ipynb b/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/.ipynb_checkpoints/String Compression -SOLUTION-checkpoint.ipynb
deleted file mode 100644
index 629aafd8..00000000
--- a/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/.ipynb_checkpoints/String Compression -SOLUTION-checkpoint.ipynb	
+++ /dev/null
@@ -1,168 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# String Compression\n",
-    "\n",
-    "## Problem\n",
-    "\n",
-    "Given a string in the form 'AAAABBBBCCCCCDDEEEE' compress it to become 'A4B4C5D2E4'. For this problem, you can falsely \"compress\" strings of single or double letters. For instance, it is okay for 'AAB' to return 'A2B1' even though this technically takes more space. \n",
-    "\n",
-    "The function should also be case sensitive, so that a string 'AAAaaa' returns 'A3a3'."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Solution\n",
-    "Since Python strings are immutable, we'll need to work off of a list of characters, and at the end convert that list back into a string with a **join** statement.\n",
-    "\n",
-    "The solution below should yield us with a Time and Space complexity of O(n). Let's take a look with careful attention to the explanatory comments:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 65,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "def compress(s):\n",
-    "    \"\"\"\n",
-    "    This solution compresses without checking. Known as the RunLength Compression algorithm.\n",
-    "    \"\"\"\n",
-    "    \n",
-    "    # Begin Run as empty string\n",
-    "    r = \"\"\n",
-    "    l = len(s)\n",
-    "    \n",
-    "    # Check for length 0\n",
-    "    if l == 0:\n",
-    "        return \"\"\n",
-    "    \n",
-    "    # Check for length 1\n",
-    "    if l == 1:\n",
-    "        return s + \"1\"\n",
-    "    \n",
-    "    #Intialize Values\n",
-    "    last = s[0]\n",
-    "    cnt = 1\n",
-    "    i = 1\n",
-    "    \n",
-    "    while i < l:\n",
-    "        \n",
-    "        # Check to see if it is the same letter\n",
-    "        if s[i] == s[i - 1]: \n",
-    "            # Add a count if same as previous\n",
-    "            cnt += 1\n",
-    "        else:\n",
-    "            # Otherwise store the previous data\n",
-    "            r = r + s[i - 1] + str(cnt)\n",
-    "            cnt = 1\n",
-    "            \n",
-    "        # Add to index count to terminate while loop\n",
-    "        i += 1\n",
-    "    \n",
-    "    # Put everything back into run\n",
-    "    r = r + s[i - 1] + str(cnt)\n",
-    "    \n",
-    "    return r"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 66,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "'A5B4C4'"
-      ]
-     },
-     "execution_count": 66,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "compress('AAAAABBBBCCCC')"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Test Your Solution"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 62,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "ALL TEST CASES PASSED\n"
-     ]
-    }
-   ],
-   "source": [
-    "\"\"\"\n",
-    "RUN THIS CELL TO TEST YOUR SOLUTION\n",
-    "\"\"\"\n",
-    "from nose.tools import assert_equal\n",
-    "\n",
-    "class TestCompress(object):\n",
-    "\n",
-    "    def test(self, sol):\n",
-    "        assert_equal(sol(''), '')\n",
-    "        assert_equal(sol('AABBCC'), 'A2B2C2')\n",
-    "        assert_equal(sol('AAABCCDDDDD'), 'A3B1C2D5')\n",
-    "        print 'ALL TEST CASES PASSED'\n",
-    "\n",
-    "# Run Tests\n",
-    "t = TestCompress()\n",
-    "t.test(compress)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Good Job!"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 2",
-   "language": "python",
-   "name": "python2"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 2
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 0
-}
diff --git a/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/.ipynb_checkpoints/Unique Characters in String - SOLUTION-checkpoint.ipynb b/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/.ipynb_checkpoints/Unique Characters in String - SOLUTION-checkpoint.ipynb
deleted file mode 100644
index c93f14c1..00000000
--- a/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions - SOLUTIONS/.ipynb_checkpoints/Unique Characters in String - SOLUTION-checkpoint.ipynb	
+++ /dev/null
@@ -1,124 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Unique Characters in String\n",
-    "\n",
-    "## Problem\n",
-    "Given a string,determine if it is compreised of all unique characters. For example, the string 'abcde' has all unique characters and should return True. The string 'aabcde' contains duplicate characters and should return false."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Solution\n",
-    "We'll show two possible solutions, one using a built-in data structure and a built in function, and another using a built-in data structure but using a look-up method to check if the characters are unique."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "def uni_char(s):\n",
-    "    return len(set(s)) == len(s)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "def uni_char2(s):\n",
-    "    chars = set()\n",
-    "    for let in s:\n",
-    "        # Check if in set\n",
-    "        if let in chars:\n",
-    "            return False\n",
-    "        else:\n",
-    "            #Add it to the set\n",
-    "            chars.add(let)\n",
-    "    return True"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Test Your Solution"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "ALL TEST CASES PASSED\n"
-     ]
-    }
-   ],
-   "source": [
-    "\"\"\"\n",
-    "RUN THIS CELL TO TEST YOUR CODE>\n",
-    "\"\"\"\n",
-    "from nose.tools import assert_equal\n",
-    "\n",
-    "\n",
-    "class TestUnique(object):\n",
-    "\n",
-    "    def test(self, sol):\n",
-    "        assert_equal(sol(''), True)\n",
-    "        assert_equal(sol('goo'), False)\n",
-    "        assert_equal(sol('abcdefg'), True)\n",
-    "        print 'ALL TEST CASES PASSED'\n",
-    "        \n",
-    "# Run Tests\n",
-    "t = TestUnique()\n",
-    "t.test(uni_char)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Good Job!"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 2",
-   "language": "python",
-   "name": "python2"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 2
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 0
-}
diff --git a/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions/.ipynb_checkpoints/01-Anagram Check -checkpoint.ipynb b/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions/.ipynb_checkpoints/01-Anagram Check -checkpoint.ipynb
deleted file mode 100644
index e27ff921..00000000
--- a/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions/.ipynb_checkpoints/01-Anagram Check -checkpoint.ipynb	
+++ /dev/null
@@ -1,136 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Anagram Check\n",
-    "\n",
-    "## Problem\n",
-    "\n",
-    "Given two strings, check to see if they are anagrams. An anagram is when the two strings can be written using the exact same letters (so you can just rearrange the letters to get a different phrase or word). \n",
-    "\n",
-    "For example:\n",
-    "\n",
-    "    \"public relations\" is an anagram of \"crap built on lies.\"\n",
-    "    \n",
-    "    \"clint eastwood\" is an anagram of \"old west action\"\n",
-    "    \n",
-    "**Note: Ignore spaces and capitalization. So \"d go\" is an anagram of \"God\" and \"dog\" and \"o d g\".**\n",
-    "\n",
-    "## Solution\n",
-    "\n",
-    "Fill out your solution below:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def anagram(s1,s2):\n",
-    "    \n",
-    "    pass"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "anagram('dog','god')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "anagram('clint eastwood','old west action')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "anagram('aa','bb')"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Test Your Solution\n",
-    "Run the cell below to test your solution"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "\"\"\"\n",
-    "RUN THIS CELL TO TEST YOUR SOLUTION\n",
-    "\"\"\"\n",
-    "from nose.tools import assert_equal\n",
-    "\n",
-    "class AnagramTest(object):\n",
-    "    \n",
-    "    def test(self,sol):\n",
-    "        assert_equal(sol('go go go','gggooo'),True)\n",
-    "        assert_equal(sol('abc','cba'),True)\n",
-    "        assert_equal(sol('hi man','hi     man'),True)\n",
-    "        assert_equal(sol('aabbcc','aabbc'),False)\n",
-    "        assert_equal(sol('123','1 2'),False)\n",
-    "        print(\"ALL TEST CASES PASSED\")\n",
-    "\n",
-    "# Run Tests\n",
-    "t = AnagramTest()\n",
-    "t.test(anagram)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "t.test(anagram2)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Good Job!"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.8.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 1
-}
diff --git a/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions/.ipynb_checkpoints/02-Array Pair Sum -checkpoint.ipynb b/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions/.ipynb_checkpoints/02-Array Pair Sum -checkpoint.ipynb
deleted file mode 100644
index 69bb05ff..00000000
--- a/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions/.ipynb_checkpoints/02-Array Pair Sum -checkpoint.ipynb	
+++ /dev/null
@@ -1,131 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Array Pair Sum\n",
-    "\n",
-    "## Problem\n",
-    "\n",
-    "Given an integer array, output all the ** *unique* ** pairs that sum up to a specific value **k**.\n",
-    "\n",
-    "So the input:\n",
-    "    \n",
-    "    pair_sum([1,3,2,2],4)\n",
-    "\n",
-    "would return **2** pairs:\n",
-    "\n",
-    "     (1,3)\n",
-    "     (2,2)\n",
-    "\n",
-    "**NOTE: FOR TESTING PURPOSES CHANGE YOUR FUNCTION SO IT OUTPUTS THE NUMBER OF PAIRS**\n",
-    "\n",
-    "## Solution\n",
-    "\n",
-    "Fill out your solution below:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 11,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "def pair_sum(arr,k):\n",
-    "    \n",
-    "    pass"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 14,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "2"
-      ]
-     },
-     "execution_count": 14,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "pair_sum([1,3,2,2],4)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Test Your Solution"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 16,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "ALL TEST CASES PASSED\n"
-     ]
-    }
-   ],
-   "source": [
-    "\"\"\"\n",
-    "RUN THIS CELL TO TEST YOUR SOLUTION\n",
-    "\"\"\"\n",
-    "from nose.tools import assert_equal\n",
-    "\n",
-    "class TestPair(object):\n",
-    "    \n",
-    "    def test(self,sol):\n",
-    "        assert_equal(sol([1,9,2,8,3,7,4,6,5,5,13,14,11,13,-1],10),6)\n",
-    "        assert_equal(sol([1,2,3,1],3),1)\n",
-    "        assert_equal(sol([1,3,2,2],4),2)\n",
-    "        print('ALL TEST CASES PASSED')\n",
-    "        \n",
-    "#Run tests\n",
-    "t = TestPair()\n",
-    "t.test(pair_sum)\n",
-    "    "
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Good Job!"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.8.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 1
-}
diff --git a/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions/.ipynb_checkpoints/03-Find the Missing Element -checkpoint.ipynb b/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions/.ipynb_checkpoints/03-Find the Missing Element -checkpoint.ipynb
deleted file mode 100644
index 562fba5c..00000000
--- a/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions/.ipynb_checkpoints/03-Find the Missing Element -checkpoint.ipynb	
+++ /dev/null
@@ -1,161 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Find the Missing Element\n",
-    "\n",
-    "## Problem\n",
-    "\n",
-    "Consider an array of non-negative integers. A second array is formed by shuffling the elements of the first array and deleting a random element. Given these two arrays, find which element is missing in the second array. \n",
-    "\n",
-    "Here is an example input, the first array is shuffled and the number 5 is removed to construct the second array.\n",
-    "\n",
-    "Input:\n",
-    "    \n",
-    "    finder([1,2,3,4,5,6,7],[3,7,2,1,4,6])\n",
-    "\n",
-    "Output:\n",
-    "\n",
-    "    5 is the missing number\n",
-    "\n",
-    "## Solution\n",
-    "\n",
-    "Fill out your solution below:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "def finder(arr1,arr2):\n",
-    "    \n",
-    "    pass"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 46,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "5"
-      ]
-     },
-     "execution_count": 46,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "arr1 = [1,2,3,4,5,6,7]\n",
-    "arr2 = [3,7,2,1,4,6]\n",
-    "finder(arr1,arr2)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 47,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "5"
-      ]
-     },
-     "execution_count": 47,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "arr1 = [5,5,7,7]\n",
-    "arr2 = [5,7,7]\n",
-    "\n",
-    "finder(arr1,arr2)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "_____"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Test Your Solution"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 43,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "ALL TEST CASES PASSED\n"
-     ]
-    }
-   ],
-   "source": [
-    "\"\"\"\n",
-    "RUN THIS CELL TO TEST YOUR SOLUTION\n",
-    "\"\"\"\n",
-    "from nose.tools import assert_equal\n",
-    "\n",
-    "class TestFinder(object):\n",
-    "    \n",
-    "    def test(self,sol):\n",
-    "        assert_equal(sol([5,5,7,7],[5,7,7]),5)\n",
-    "        assert_equal(sol([1,2,3,4,5,6,7],[3,7,2,1,4,6]),5)\n",
-    "        assert_equal(sol([9,8,7,6,5,4,3,2,1],[9,8,7,5,4,3,2,1]),6)\n",
-    "        print('ALL TEST CASES PASSED')\n",
-    "\n",
-    "# Run test\n",
-    "t = TestFinder()\n",
-    "t.test(finder)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Good Job!"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.8.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 1
-}
diff --git a/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions/.ipynb_checkpoints/04-Largest Continuous Sum -checkpoint.ipynb b/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions/.ipynb_checkpoints/04-Largest Continuous Sum -checkpoint.ipynb
deleted file mode 100644
index 31ed20b2..00000000
--- a/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions/.ipynb_checkpoints/04-Largest Continuous Sum -checkpoint.ipynb	
+++ /dev/null
@@ -1,119 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Largest Continuous Sum\n",
-    "\n",
-    "## Problem\n",
-    "Given an array of integers (positive and negative) find the largest continuous sum. \n",
-    "\n",
-    "## Solution\n",
-    "\n",
-    "Fill out your solution below:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 18,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def large_cont_sum(arr): \n",
-    "    pass"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 25,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "29"
-      ]
-     },
-     "execution_count": 25,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "large_cont_sum([1,2,-1,3,4,10,10,-10,-1])"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "____\n",
-    "Many times in an interview setting the question also requires you to report back the start and end points of the sum. Keep this in mind and see if you can solve that problem, we'll see it in the mock interview section of the course!"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Test Your Solution"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 28,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "ALL TEST CASES PASSED\n"
-     ]
-    }
-   ],
-   "source": [
-    "from nose.tools import assert_equal\n",
-    "\n",
-    "class LargeContTest(object):\n",
-    "    def test(self,sol):\n",
-    "        assert_equal(sol([1,2,-1,3,4,-1]),9)\n",
-    "        assert_equal(sol([1,2,-1,3,4,10,10,-10,-1]),29)\n",
-    "        assert_equal(sol([-1,1]),1)\n",
-    "        print('ALL TEST CASES PASSED')\n",
-    "        \n",
-    "#Run Test\n",
-    "t = LargeContTest()\n",
-    "t.test(large_cont_sum)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Good Job!"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.8.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 1
-}
diff --git a/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions/.ipynb_checkpoints/05-Sentence Reversal-checkpoint.ipynb b/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions/.ipynb_checkpoints/05-Sentence Reversal-checkpoint.ipynb
deleted file mode 100644
index 8819e575..00000000
--- a/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions/.ipynb_checkpoints/05-Sentence Reversal-checkpoint.ipynb	
+++ /dev/null
@@ -1,163 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Sentence Reversal\n",
-    "\n",
-    "## Problem\n",
-    "\n",
-    "Given a string of words, reverse all the words. For example:\n",
-    "\n",
-    "Given:\n",
-    "    \n",
-    "    'This is the best'\n",
-    "\n",
-    "Return:\n",
-    "\n",
-    "    'best the is This'\n",
-    "\n",
-    "As part of this exercise you should remove all leading and trailing whitespace. So that inputs such as:\n",
-    "\n",
-    "    '  space here'  and 'space here      '\n",
-    "\n",
-    "both become:\n",
-    "\n",
-    "    'here space'\n",
-    "\n",
-    "## Solution\n",
-    "\n",
-    "Fill out your solution below:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "def rev_word(s):\n",
-    "    pass"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "'go? to ready you are John, Hi'"
-      ]
-     },
-     "execution_count": 4,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "rev_word('Hi John,   are you ready to go?')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 20,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "'before space'"
-      ]
-     },
-     "execution_count": 20,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "rev_word('    space before')"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "_____"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Test Your Solution"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 24,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "ALL TEST CASES PASSED\n"
-     ]
-    }
-   ],
-   "source": [
-    "\"\"\"\n",
-    "RUN THIS CELL TO TEST YOUR SOLUTION\n",
-    "\"\"\"\n",
-    "\n",
-    "from nose.tools import assert_equal\n",
-    "\n",
-    "class ReversalTest(object):\n",
-    "    \n",
-    "    def test(self,sol):\n",
-    "        assert_equal(sol('    space before'),'before space')\n",
-    "        assert_equal(sol('space after     '),'after space')\n",
-    "        assert_equal(sol('   Hello John    how are you   '),'you are how John Hello')\n",
-    "        assert_equal(sol('1'),'1')\n",
-    "        print(\"ALL TEST CASES PASSED\")\n",
-    "        \n",
-    "# Run and test\n",
-    "t = ReversalTest()\n",
-    "t.test(rev_word)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Good Job!"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.8.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 1
-}
diff --git a/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions/.ipynb_checkpoints/06-String Compression -checkpoint.ipynb b/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions/.ipynb_checkpoints/06-String Compression -checkpoint.ipynb
deleted file mode 100644
index 2bd8d1c4..00000000
--- a/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions/.ipynb_checkpoints/06-String Compression -checkpoint.ipynb	
+++ /dev/null
@@ -1,103 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# String Compression\n",
-    "\n",
-    "## Problem\n",
-    "\n",
-    "Given a string in the form 'AAAABBBBCCCCCDDEEEE' compress it to become 'A4B4C5D2E4'. For this problem, you can falsely \"compress\" strings of single or double letters. For instance, it is okay for 'AAB' to return 'A2B1' even though this technically takes more space. \n",
-    "\n",
-    "The function should also be case sensitive, so that a string 'AAAaaa' returns 'A3a3'."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Solution\n",
-    "Fill out your solution below:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def compress(s):\n",
-    "    pass"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "compress('AAAAABBBBCCCC')"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Test Your Solution"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "\"\"\"\n",
-    "RUN THIS CELL TO TEST YOUR SOLUTION\n",
-    "\"\"\"\n",
-    "from nose.tools import assert_equal\n",
-    "\n",
-    "class TestCompress(object):\n",
-    "\n",
-    "    def test(self, sol):\n",
-    "        assert_equal(sol(''), '')\n",
-    "        assert_equal(sol('AABBCC'), 'A2B2C2')\n",
-    "        assert_equal(sol('AAABCCDDDDD'), 'A3B1C2D5')\n",
-    "        print('ALL TEST CASES PASSED')\n",
-    "\n",
-    "# Run Tests\n",
-    "t = TestCompress()\n",
-    "t.test(compress)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Good Job!"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.8.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 1
-}
diff --git a/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions/.ipynb_checkpoints/07-Unique Characters in String-checkpoint.ipynb b/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions/.ipynb_checkpoints/07-Unique Characters in String-checkpoint.ipynb
deleted file mode 100644
index e6f8e1e2..00000000
--- a/02-Array Sequences/Array Sequences Interview Questions/Array Sequence Interview Questions/.ipynb_checkpoints/07-Unique Characters in String-checkpoint.ipynb	
+++ /dev/null
@@ -1,102 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Unique Characters in String\n",
-    "\n",
-    "## Problem\n",
-    "Given a string,determine if it is compreised of all unique characters. For example, the string 'abcde' has all unique characters and should return True. The string 'aabcde' contains duplicate characters and should return false."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Solution\n",
-    "Fill out your solution below:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "def uni_char(s):\n",
-    "    pass"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Test Your Solution"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "ALL TEST CASES PASSED\n"
-     ]
-    }
-   ],
-   "source": [
-    "\"\"\"\n",
-    "RUN THIS CELL TO TEST YOUR CODE>\n",
-    "\"\"\"\n",
-    "from nose.tools import assert_equal\n",
-    "\n",
-    "\n",
-    "class TestUnique(object):\n",
-    "\n",
-    "    def test(self, sol):\n",
-    "        assert_equal(sol(''), True)\n",
-    "        assert_equal(sol('goo'), False)\n",
-    "        assert_equal(sol('abcdefg'), True)\n",
-    "        print('ALL TEST CASES PASSED')\n",
-    "        \n",
-    "# Run Tests\n",
-    "t = TestUnique()\n",
-    "t.test(uni_char)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Good Job!"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.8.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 1
-}
diff --git a/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions -SOLUTIONS/01-Implement a Stack - SOLUTION.ipynb b/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/01-Implement-a-Stack/01-Implement a Stack - SOLUTION.ipynb
similarity index 100%
rename from 03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions -SOLUTIONS/01-Implement a Stack - SOLUTION.ipynb
rename to 03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/01-Implement-a-Stack/01-Implement a Stack - SOLUTION.ipynb
diff --git a/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions /01-Implement a Stack .ipynb b/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/01-Implement-a-Stack/01-Implement a Stack .ipynb
similarity index 100%
rename from 03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions /01-Implement a Stack .ipynb
rename to 03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/01-Implement-a-Stack/01-Implement a Stack .ipynb
diff --git a/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions -SOLUTIONS/02-Implement a Queue - SOLUTION.ipynb b/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/02-Implement-a-Queue/02-Implement a Queue - SOLUTION.ipynb
similarity index 100%
rename from 03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions -SOLUTIONS/02-Implement a Queue - SOLUTION.ipynb
rename to 03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/02-Implement-a-Queue/02-Implement a Queue - SOLUTION.ipynb
diff --git a/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions /02-Implement a Queue.ipynb b/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/02-Implement-a-Queue/02-Implement a Queue.ipynb
similarity index 100%
rename from 03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions /02-Implement a Queue.ipynb
rename to 03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/02-Implement-a-Queue/02-Implement a Queue.ipynb
diff --git a/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions -SOLUTIONS/03-Implement a Deque - SOLUTION.ipynb b/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/03-Implement-a-Deque/03-Implement a Deque - SOLUTION.ipynb
similarity index 100%
rename from 03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions -SOLUTIONS/03-Implement a Deque - SOLUTION.ipynb
rename to 03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/03-Implement-a-Deque/03-Implement a Deque - SOLUTION.ipynb
diff --git a/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions /03-Implement a Deque .ipynb b/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/03-Implement-a-Deque/03-Implement a Deque .ipynb
similarity index 100%
rename from 03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions /03-Implement a Deque .ipynb
rename to 03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/03-Implement-a-Deque/03-Implement a Deque .ipynb
diff --git a/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions -SOLUTIONS/04-Balanced Parentheses Check - SOLUTION.ipynb b/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/04-Balanced-Parantheses-Check/04-Balanced Parentheses Check - SOLUTION.ipynb
similarity index 100%
rename from 03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions -SOLUTIONS/04-Balanced Parentheses Check - SOLUTION.ipynb
rename to 03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/04-Balanced-Parantheses-Check/04-Balanced Parentheses Check - SOLUTION.ipynb
diff --git a/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions /04-Balanced Parentheses Check .ipynb b/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/04-Balanced-Parantheses-Check/04-Balanced Parentheses Check .ipynb
similarity index 100%
rename from 03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions /04-Balanced Parentheses Check .ipynb
rename to 03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/04-Balanced-Parantheses-Check/04-Balanced Parentheses Check .ipynb
diff --git a/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions -SOLUTIONS/05-Implement a Queue -Using Two Stacks - SOLUTION.ipynb b/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/05-Implement-a-Queue-Using-Two-Stacks/05-Implement a Queue -Using Two Stacks - SOLUTION.ipynb
similarity index 100%
rename from 03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions -SOLUTIONS/05-Implement a Queue -Using Two Stacks - SOLUTION.ipynb
rename to 03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/05-Implement-a-Queue-Using-Two-Stacks/05-Implement a Queue -Using Two Stacks - SOLUTION.ipynb
diff --git a/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions /05-Implement a Queue -Using Two Stacks .ipynb b/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/05-Implement-a-Queue-Using-Two-Stacks/05-Implement a Queue -Using Two Stacks .ipynb
similarity index 100%
rename from 03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions /05-Implement a Queue -Using Two Stacks .ipynb
rename to 03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/05-Implement-a-Queue-Using-Two-Stacks/05-Implement a Queue -Using Two Stacks .ipynb
diff --git a/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions  - PRACTICE/.ipynb_checkpoints/01-Implement a Stack -checkpoint.ipynb b/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions  - PRACTICE/.ipynb_checkpoints/01-Implement a Stack -checkpoint.ipynb
deleted file mode 100644
index 4900587f..00000000
--- a/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions  - PRACTICE/.ipynb_checkpoints/01-Implement a Stack -checkpoint.ipynb	
+++ /dev/null
@@ -1,228 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Implement a Stack \n",
-    "\n",
-    "A very common interview question is to begin by just implementing a Stack! Try your best to implement your own stack!\n",
-    "\n",
-    "It should have the methods:\n",
-    "\n",
-    "* Check if its empty\n",
-    "* Push a new item\n",
-    "* Pop an item\n",
-    "* Peek at the top item\n",
-    "* Return the size"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "class Stack(object):\n",
-    "    # Fill out the Stack Methods here\n",
-    "    def __init__(self):\n",
-    "        self.items = []\n",
-    "    def isEmpty(self):\n",
-    "        return len(self.items) == 0\n",
-    "    def push(self, e):\n",
-    "        self.items.append(e)\n",
-    "    def pop(self):\n",
-    "        return self.items.pop()\n",
-    "    def size(self):\n",
-    "        return len(self.items)\n",
-    "    def peek(self):\n",
-    "        return self.items[self.size()-1] # reuse the size funtion\n",
-    "    pass"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "stack = Stack()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "0"
-      ]
-     },
-     "execution_count": 3,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "stack.size()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "stack.push(1)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "stack.push(2)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "stack.push('Three')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "'Three'"
-      ]
-     },
-     "execution_count": 7,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "stack.pop()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 8,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "2"
-      ]
-     },
-     "execution_count": 8,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "stack.pop()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 9,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "1"
-      ]
-     },
-     "execution_count": 9,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "stack.size()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 10,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "False"
-      ]
-     },
-     "execution_count": 10,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "stack.isEmpty()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 11,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "1"
-      ]
-     },
-     "execution_count": 11,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "stack.peek()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.8.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 1
-}
diff --git a/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions  - PRACTICE/.ipynb_checkpoints/02-Implement a Queue-checkpoint.ipynb b/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions  - PRACTICE/.ipynb_checkpoints/02-Implement a Queue-checkpoint.ipynb
deleted file mode 100644
index 3537bdaa..00000000
--- a/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions  - PRACTICE/.ipynb_checkpoints/02-Implement a Queue-checkpoint.ipynb	
+++ /dev/null
@@ -1,104 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Implement a Queue\n",
-    "\n",
-    "It's very common to be asked to implement a Queue class! The class should be able to do the following:\n",
-    "\n",
-    "* Check if Queue is Empty\n",
-    "* Enqueue\n",
-    "* Dequeue\n",
-    "* Return the size of the Queue"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "class Queue(object):\n",
-    "    def __init__(self):\n",
-    "        self.items = []\n",
-    "    def is_empty(self):\n",
-    "        return self.items == []\n",
-    "    def enqueue(self, e):\n",
-    "        self.items.insert(0, e)\n",
-    "    def dequeue(self):\n",
-    "        return self.items.pop()\n",
-    "    def size(self):\n",
-    "        return len(self.items)\n",
-    "    pass"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "1\n",
-      "two\n",
-      "3\n"
-     ]
-    },
-    {
-     "data": {
-      "text/plain": [
-       "True"
-      ]
-     },
-     "execution_count": 2,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "q = Queue()\n",
-    "q.is_empty()\n",
-    "q.enqueue(1)\n",
-    "q.enqueue('two')\n",
-    "q.enqueue(3)\n",
-    "q.size()\n",
-    "print(q.dequeue())\n",
-    "print(q.dequeue())\n",
-    "print(q.dequeue())\n",
-    "q.is_empty()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.8.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 1
-}
diff --git a/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions  - PRACTICE/.ipynb_checkpoints/03-Implement a Deque -checkpoint.ipynb b/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions  - PRACTICE/.ipynb_checkpoints/03-Implement a Deque -checkpoint.ipynb
deleted file mode 100644
index 645fba0f..00000000
--- a/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions  - PRACTICE/.ipynb_checkpoints/03-Implement a Deque -checkpoint.ipynb	
+++ /dev/null
@@ -1,206 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Implement a Deque \n",
-    "\n",
-    "Finally, implement a Deque class! It should be able to do the following:\n",
-    "\n",
-    "* Check if its empty\n",
-    "* Add to both front and rear\n",
-    "* Remove from Front and Rear\n",
-    "* Check the Size"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "class Deque(object):\n",
-    "    def __init__(self):\n",
-    "        self.items = []\n",
-    "    def is_empty(self):\n",
-    "        return self.items == []\n",
-    "    def add_front(self, e):\n",
-    "        self.items.insert(0, e)\n",
-    "    def add_rear(self, e):\n",
-    "        self.items.append(e)\n",
-    "    def remove_front(self):\n",
-    "        return self.items.pop(0)\n",
-    "    def remove_rear(self):\n",
-    "        return self.items.pop()\n",
-    "    def size(self):\n",
-    "        return len(self.items)\n",
-    "    pass"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "deq = Deque()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "0"
-      ]
-     },
-     "execution_count": 3,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "deq.size()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "deq.add_front(2)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "deq.add_front(1)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "deq.add_rear(3)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "1"
-      ]
-     },
-     "execution_count": 7,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "deq.remove_front()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 8,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "3"
-      ]
-     },
-     "execution_count": 8,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "deq.remove_rear()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 9,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "2"
-      ]
-     },
-     "execution_count": 9,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "deq.remove_rear()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 10,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "True"
-      ]
-     },
-     "execution_count": 10,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "deq.is_empty()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.8.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 1
-}
diff --git a/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions  - PRACTICE/.ipynb_checkpoints/04-Balanced Parentheses Check -checkpoint.ipynb b/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions  - PRACTICE/.ipynb_checkpoints/04-Balanced Parentheses Check -checkpoint.ipynb
deleted file mode 100644
index 0c7613c5..00000000
--- a/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions  - PRACTICE/.ipynb_checkpoints/04-Balanced Parentheses Check -checkpoint.ipynb	
+++ /dev/null
@@ -1,169 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Balanced Parentheses Check \n",
-    "\n",
-    "## Problem Statement\n",
-    "\n",
-    "Given a string of opening and closing parentheses, check whether it’s balanced. We have 3 types of parentheses: round brackets: (), square brackets: [], and curly brackets: {}. Assume that the string doesn’t contain any other character than these, no spaces words or numbers. As a reminder, balanced parentheses require every opening parenthesis to be closed in the reverse order opened. For example ‘([])’ is balanced but ‘([)]’ is not. \n",
-    "\n",
-    "\n",
-    "You can assume the input string has no spaces.\n",
-    "\n",
-    "## Solution\n",
-    "\n",
-    "Fill out your solution below:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def balance_check(s):\n",
-    "    chars = []\n",
-    "    matches = {')':'(',']':'[','}':'{'}\n",
-    "    for c in s:\n",
-    "        if c in matches:\n",
-    "            if chars.pop() != matches[c]:\n",
-    "                return False\n",
-    "        else:\n",
-    "            chars.append(c)\n",
-    "    return chars == []        \n",
-    "    pass"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "True"
-      ]
-     },
-     "execution_count": 2,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "balance_check('[]')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "True"
-      ]
-     },
-     "execution_count": 3,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "balance_check('[](){([[[]]])}')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "False"
-      ]
-     },
-     "execution_count": 4,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "balance_check('()(){]}')"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Test Your Solution"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "ALL TEST CASES PASSED\n"
-     ]
-    }
-   ],
-   "source": [
-    "\"\"\"\n",
-    "RUN THIS CELL TO TEST YOUR SOLUTION\n",
-    "\"\"\"\n",
-    "from nose.tools import assert_equal\n",
-    "\n",
-    "class TestBalanceCheck(object):\n",
-    "    \n",
-    "    def test(self,sol):\n",
-    "        assert_equal(sol('[](){([[[]]])}('),False)\n",
-    "        assert_equal(sol('[{{{(())}}}]((()))'),True)\n",
-    "        assert_equal(sol('[[[]])]'),False)\n",
-    "        print ('ALL TEST CASES PASSED')\n",
-    "        \n",
-    "# Run Tests\n",
-    "\n",
-    "t = TestBalanceCheck()\n",
-    "t.test(balance_check)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Good Job!"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.8.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 1
-}
diff --git a/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions  - PRACTICE/.ipynb_checkpoints/05-Implement a Queue -Using Two Stacks -checkpoint.ipynb b/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions  - PRACTICE/.ipynb_checkpoints/05-Implement a Queue -Using Two Stacks -checkpoint.ipynb
deleted file mode 100644
index 36a83851..00000000
--- a/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions  - PRACTICE/.ipynb_checkpoints/05-Implement a Queue -Using Two Stacks -checkpoint.ipynb	
+++ /dev/null
@@ -1,129 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Implement a Queue - Using Two Stacks\n",
-    "\n",
-    "Given the Stack class below, implement a Queue class using **two** stacks! Note, this is a \"classic\" interview problem. Use a Python list data structure as your Stack."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Uses lists instead of your own Stack class.\n",
-    "stack1 = []\n",
-    "stack2 = []"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Solution\n",
-    "\n",
-    "Fill out your solution below:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "class Queue2Stacks(object):\n",
-    "    \n",
-    "    def __init__(self):\n",
-    "        \n",
-    "        # Two Stacks\n",
-    "        self.in_stack = []\n",
-    "        self.out_stack = []\n",
-    "     \n",
-    "    def enqueue(self, element):\n",
-    "        # FILL OUT CODE HERE\n",
-    "        self.in_stack.append(element)\n",
-    "        pass\n",
-    "    \n",
-    "    def dequeue(self):\n",
-    "        \n",
-    "        # FILL OUT CODE HERE\n",
-    "        if not self.out_stack:\n",
-    "            while self.in_stack:\n",
-    "                self.out_stack.append(self.in_stack.pop())\n",
-    "        return self.out_stack.pop()\n",
-    "        pass"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Test Your Solution\n",
-    "\n",
-    "You should be able to tell with your current knowledge of Stacks and Queues if this is working as it should. For example, the following should print as such:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "0\n",
-      "1\n",
-      "2\n",
-      "3\n",
-      "4\n"
-     ]
-    }
-   ],
-   "source": [
-    "\"\"\"\n",
-    "RUN THIS CELL TO CHECK THAT YOUR SOLUTION OUTPUT MAKES SENSE AND BEHAVES AS A QUEUE\n",
-    "\"\"\"\n",
-    "q = Queue2Stacks()\n",
-    "\n",
-    "for i in range(5):\n",
-    "    q.enqueue(i)\n",
-    "    \n",
-    "for i in range(5):\n",
-    "    print (q.dequeue())"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Good Job!"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.8.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 1
-}
diff --git a/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions  - PRACTICE/.ipynb_checkpoints/Balanced Parentheses Check -checkpoint.ipynb b/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions  - PRACTICE/.ipynb_checkpoints/Balanced Parentheses Check -checkpoint.ipynb
deleted file mode 100644
index 40a0f8e4..00000000
--- a/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions  - PRACTICE/.ipynb_checkpoints/Balanced Parentheses Check -checkpoint.ipynb	
+++ /dev/null
@@ -1,169 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Balanced Parentheses Check \n",
-    "\n",
-    "## Problem Statement\n",
-    "\n",
-    "Given a string of opening and closing parentheses, check whether it’s balanced. We have 3 types of parentheses: round brackets: (), square brackets: [], and curly brackets: {}. Assume that the string doesn’t contain any other character than these, no spaces words or numbers. As a reminder, balanced parentheses require every opening parenthesis to be closed in the reverse order opened. For example ‘([])’ is balanced but ‘([)]’ is not. \n",
-    "\n",
-    "\n",
-    "You can assume the input string has no spaces.\n",
-    "\n",
-    "## Solution\n",
-    "\n",
-    "Fill out your solution below:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def balance_check(s):\n",
-    "    chars = []\n",
-    "    matches = {')':'(',']':'[','}':'{'}\n",
-    "    for c in s:\n",
-    "        if c in matches:\n",
-    "            if chars.pop() != matches[c]:\n",
-    "                return False\n",
-    "        else:\n",
-    "            chars.append(c)\n",
-    "    return chars == []        \n",
-    "    pass"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "True"
-      ]
-     },
-     "execution_count": 3,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "balance_check('[]')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "True"
-      ]
-     },
-     "execution_count": 4,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "balance_check('[](){([[[]]])}')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "False"
-      ]
-     },
-     "execution_count": 5,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "balance_check('()(){]}')"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Test Your Solution"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "ALL TEST CASES PASSED\n"
-     ]
-    }
-   ],
-   "source": [
-    "\"\"\"\n",
-    "RUN THIS CELL TO TEST YOUR SOLUTION\n",
-    "\"\"\"\n",
-    "from nose.tools import assert_equal\n",
-    "\n",
-    "class TestBalanceCheck(object):\n",
-    "    \n",
-    "    def test(self,sol):\n",
-    "        assert_equal(sol('[](){([[[]]])}('),False)\n",
-    "        assert_equal(sol('[{{{(())}}}]((()))'),True)\n",
-    "        assert_equal(sol('[[[]])]'),False)\n",
-    "        print ('ALL TEST CASES PASSED')\n",
-    "        \n",
-    "# Run Tests\n",
-    "\n",
-    "t = TestBalanceCheck()\n",
-    "t.test(balance_check)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Good Job!"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.6.2"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 1
-}
diff --git a/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions  - PRACTICE/.ipynb_checkpoints/Implement a Deque -checkpoint.ipynb b/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions  - PRACTICE/.ipynb_checkpoints/Implement a Deque -checkpoint.ipynb
deleted file mode 100644
index d5c255f7..00000000
--- a/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions  - PRACTICE/.ipynb_checkpoints/Implement a Deque -checkpoint.ipynb	
+++ /dev/null
@@ -1,51 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Implement a Deque \n",
-    "\n",
-    "Finally, implement a Deque class! It should be able to do the following:\n",
-    "\n",
-    "* Check if its empty\n",
-    "* Add to both front and rear\n",
-    "* Remove from Front and Rear\n",
-    "* Check the Size"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "class Deque(object):\n",
-    "    pass"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 2",
-   "language": "python",
-   "name": "python2"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 2
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 0
-}
diff --git a/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions  - PRACTICE/.ipynb_checkpoints/Implement a Queue -Using Two Stacks -checkpoint.ipynb b/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions  - PRACTICE/.ipynb_checkpoints/Implement a Queue -Using Two Stacks -checkpoint.ipynb
deleted file mode 100644
index 521c8245..00000000
--- a/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions  - PRACTICE/.ipynb_checkpoints/Implement a Queue -Using Two Stacks -checkpoint.ipynb	
+++ /dev/null
@@ -1,131 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Implement a Queue - Using Two Stacks\n",
-    "\n",
-    "Given the Stack class below, implement a Queue class using **two** stacks! Note, this is a \"classic\" interview problem. Use a Python list data structure as your Stack."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 30,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "# Uses lists instead of your own Stack class.\n",
-    "stack1 = []\n",
-    "stack2 = []"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Solution\n",
-    "\n",
-    "Fill out your solution below:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 42,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "class Queue2Stacks(object):\n",
-    "    \n",
-    "    def __init__(self):\n",
-    "        \n",
-    "        # Two Stacks\n",
-    "        self.in_stack = []\n",
-    "        self.out_stack = []\n",
-    "     \n",
-    "    def enqueue(self, element):\n",
-    "        # FILL OUT CODE HERE\n",
-    "        self.in_stack.append(element)\n",
-    "        pass\n",
-    "    \n",
-    "    def dequeue(self):\n",
-    "        \n",
-    "        # FILL OUT CODE HERE\n",
-    "        if not self.out_stack:\n",
-    "            while self.in_stack:\n",
-    "                self.out_stack.append(self.in_stack.pop())\n",
-    "        return self.out_stack.pop()\n",
-    "        pass"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Test Your Solution\n",
-    "\n",
-    "You should be able to tell with your current knowledge of Stacks and Queues if this is working as it should. For example, the following should print as such:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 43,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "0\n",
-      "1\n",
-      "2\n",
-      "3\n",
-      "4\n"
-     ]
-    }
-   ],
-   "source": [
-    "\"\"\"\n",
-    "RUN THIS CELL TO CHECK THAT YOUR SOLUTION OUTPUT MAKES SENSE AND BEHAVES AS A QUEUE\n",
-    "\"\"\"\n",
-    "q = Queue2Stacks()\n",
-    "\n",
-    "for i in range(5):\n",
-    "    q.enqueue(i)\n",
-    "    \n",
-    "for i in range(5):\n",
-    "    print (q.dequeue())"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Good Job!"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.6.2"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 1
-}
diff --git a/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions  - PRACTICE/.ipynb_checkpoints/Implement a Queue-checkpoint.ipynb b/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions  - PRACTICE/.ipynb_checkpoints/Implement a Queue-checkpoint.ipynb
deleted file mode 100644
index 2a758805..00000000
--- a/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions  - PRACTICE/.ipynb_checkpoints/Implement a Queue-checkpoint.ipynb	
+++ /dev/null
@@ -1,104 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Implement a Queue\n",
-    "\n",
-    "It's very common to be asked to implement a Queue class! The class should be able to do the following:\n",
-    "\n",
-    "* Check if Queue is Empty\n",
-    "* Enqueue\n",
-    "* Dequeue\n",
-    "* Return the size of the Queue"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "class Queue(object):\n",
-    "    def __init__(self):\n",
-    "        self.items = []\n",
-    "    def is_empty(self):\n",
-    "        return self.items == []\n",
-    "    def enqueue(self, e):\n",
-    "        self.items.insert(0, e)\n",
-    "    def dequeue(self):\n",
-    "        return self.items.pop()\n",
-    "    def size(self):\n",
-    "        return len(self.items)\n",
-    "    pass"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "1\n",
-      "two\n",
-      "3\n"
-     ]
-    },
-    {
-     "data": {
-      "text/plain": [
-       "True"
-      ]
-     },
-     "execution_count": 7,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "q = Queue()\n",
-    "q.is_empty()\n",
-    "q.enqueue(1)\n",
-    "q.enqueue('two')\n",
-    "q.enqueue(3)\n",
-    "q.size()\n",
-    "print(q.dequeue())\n",
-    "print(q.dequeue())\n",
-    "print(q.dequeue())\n",
-    "q.is_empty()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.6.2"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 1
-}
diff --git a/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions  - PRACTICE/.ipynb_checkpoints/Implement a Stack -checkpoint.ipynb b/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions  - PRACTICE/.ipynb_checkpoints/Implement a Stack -checkpoint.ipynb
deleted file mode 100644
index d0f206c3..00000000
--- a/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions  - PRACTICE/.ipynb_checkpoints/Implement a Stack -checkpoint.ipynb	
+++ /dev/null
@@ -1,228 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Implement a Stack \n",
-    "\n",
-    "A very common interview question is to begin by just implementing a Stack! Try your best to implement your own stack!\n",
-    "\n",
-    "It should have the methods:\n",
-    "\n",
-    "* Check if its empty\n",
-    "* Push a new item\n",
-    "* Pop an item\n",
-    "* Peek at the top item\n",
-    "* Return the size"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 78,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "class Stack(object):\n",
-    "    # Fill out the Stack Methods here\n",
-    "    def __init__(self):\n",
-    "        self.items = []\n",
-    "    def isEmpty(self):\n",
-    "        return len(self.items) == 0\n",
-    "    def push(self, e):\n",
-    "        self.items.append(e)\n",
-    "    def pop(self):\n",
-    "        return self.items.pop()\n",
-    "    def size(self):\n",
-    "        return len(self.items)\n",
-    "    def peek(self):\n",
-    "        return self.items[self.size()-1] # reuse the size funtion\n",
-    "    pass"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 68,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "stack = Stack()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 69,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "0"
-      ]
-     },
-     "execution_count": 69,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "stack.size()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 70,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "stack.push(1)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 71,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "stack.push(2)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 72,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "stack.push('Three')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 73,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "'Three'"
-      ]
-     },
-     "execution_count": 73,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "stack.pop()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 74,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "2"
-      ]
-     },
-     "execution_count": 74,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "stack.pop()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 75,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "1"
-      ]
-     },
-     "execution_count": 75,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "stack.size()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 76,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "False"
-      ]
-     },
-     "execution_count": 76,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "stack.isEmpty()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 77,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "1"
-      ]
-     },
-     "execution_count": 77,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "stack.peek()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.6.2"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 1
-}
diff --git a/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions  - PRACTICE/01-Implement a Stack .ipynb b/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions  - PRACTICE/01-Implement a Stack .ipynb
deleted file mode 100644
index 4900587f..00000000
--- a/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions  - PRACTICE/01-Implement a Stack .ipynb	
+++ /dev/null
@@ -1,228 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Implement a Stack \n",
-    "\n",
-    "A very common interview question is to begin by just implementing a Stack! Try your best to implement your own stack!\n",
-    "\n",
-    "It should have the methods:\n",
-    "\n",
-    "* Check if its empty\n",
-    "* Push a new item\n",
-    "* Pop an item\n",
-    "* Peek at the top item\n",
-    "* Return the size"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "class Stack(object):\n",
-    "    # Fill out the Stack Methods here\n",
-    "    def __init__(self):\n",
-    "        self.items = []\n",
-    "    def isEmpty(self):\n",
-    "        return len(self.items) == 0\n",
-    "    def push(self, e):\n",
-    "        self.items.append(e)\n",
-    "    def pop(self):\n",
-    "        return self.items.pop()\n",
-    "    def size(self):\n",
-    "        return len(self.items)\n",
-    "    def peek(self):\n",
-    "        return self.items[self.size()-1] # reuse the size funtion\n",
-    "    pass"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "stack = Stack()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "0"
-      ]
-     },
-     "execution_count": 3,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "stack.size()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "stack.push(1)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "stack.push(2)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "stack.push('Three')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "'Three'"
-      ]
-     },
-     "execution_count": 7,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "stack.pop()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 8,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "2"
-      ]
-     },
-     "execution_count": 8,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "stack.pop()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 9,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "1"
-      ]
-     },
-     "execution_count": 9,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "stack.size()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 10,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "False"
-      ]
-     },
-     "execution_count": 10,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "stack.isEmpty()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 11,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "1"
-      ]
-     },
-     "execution_count": 11,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "stack.peek()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.8.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 1
-}
diff --git a/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions  - PRACTICE/02-Implement a Queue.ipynb b/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions  - PRACTICE/02-Implement a Queue.ipynb
deleted file mode 100644
index 3537bdaa..00000000
--- a/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions  - PRACTICE/02-Implement a Queue.ipynb	
+++ /dev/null
@@ -1,104 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Implement a Queue\n",
-    "\n",
-    "It's very common to be asked to implement a Queue class! The class should be able to do the following:\n",
-    "\n",
-    "* Check if Queue is Empty\n",
-    "* Enqueue\n",
-    "* Dequeue\n",
-    "* Return the size of the Queue"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "class Queue(object):\n",
-    "    def __init__(self):\n",
-    "        self.items = []\n",
-    "    def is_empty(self):\n",
-    "        return self.items == []\n",
-    "    def enqueue(self, e):\n",
-    "        self.items.insert(0, e)\n",
-    "    def dequeue(self):\n",
-    "        return self.items.pop()\n",
-    "    def size(self):\n",
-    "        return len(self.items)\n",
-    "    pass"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "1\n",
-      "two\n",
-      "3\n"
-     ]
-    },
-    {
-     "data": {
-      "text/plain": [
-       "True"
-      ]
-     },
-     "execution_count": 2,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "q = Queue()\n",
-    "q.is_empty()\n",
-    "q.enqueue(1)\n",
-    "q.enqueue('two')\n",
-    "q.enqueue(3)\n",
-    "q.size()\n",
-    "print(q.dequeue())\n",
-    "print(q.dequeue())\n",
-    "print(q.dequeue())\n",
-    "q.is_empty()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.8.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 1
-}
diff --git a/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions  - PRACTICE/03-Implement a Deque .ipynb b/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions  - PRACTICE/03-Implement a Deque .ipynb
deleted file mode 100644
index 645fba0f..00000000
--- a/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions  - PRACTICE/03-Implement a Deque .ipynb	
+++ /dev/null
@@ -1,206 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Implement a Deque \n",
-    "\n",
-    "Finally, implement a Deque class! It should be able to do the following:\n",
-    "\n",
-    "* Check if its empty\n",
-    "* Add to both front and rear\n",
-    "* Remove from Front and Rear\n",
-    "* Check the Size"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "class Deque(object):\n",
-    "    def __init__(self):\n",
-    "        self.items = []\n",
-    "    def is_empty(self):\n",
-    "        return self.items == []\n",
-    "    def add_front(self, e):\n",
-    "        self.items.insert(0, e)\n",
-    "    def add_rear(self, e):\n",
-    "        self.items.append(e)\n",
-    "    def remove_front(self):\n",
-    "        return self.items.pop(0)\n",
-    "    def remove_rear(self):\n",
-    "        return self.items.pop()\n",
-    "    def size(self):\n",
-    "        return len(self.items)\n",
-    "    pass"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "deq = Deque()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "0"
-      ]
-     },
-     "execution_count": 3,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "deq.size()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "deq.add_front(2)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "deq.add_front(1)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "deq.add_rear(3)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "1"
-      ]
-     },
-     "execution_count": 7,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "deq.remove_front()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 8,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "3"
-      ]
-     },
-     "execution_count": 8,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "deq.remove_rear()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 9,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "2"
-      ]
-     },
-     "execution_count": 9,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "deq.remove_rear()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 10,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "True"
-      ]
-     },
-     "execution_count": 10,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "deq.is_empty()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.8.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 1
-}
diff --git a/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions  - PRACTICE/04-Balanced Parentheses Check .ipynb b/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions  - PRACTICE/04-Balanced Parentheses Check .ipynb
deleted file mode 100644
index 0c7613c5..00000000
--- a/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions  - PRACTICE/04-Balanced Parentheses Check .ipynb	
+++ /dev/null
@@ -1,169 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Balanced Parentheses Check \n",
-    "\n",
-    "## Problem Statement\n",
-    "\n",
-    "Given a string of opening and closing parentheses, check whether it’s balanced. We have 3 types of parentheses: round brackets: (), square brackets: [], and curly brackets: {}. Assume that the string doesn’t contain any other character than these, no spaces words or numbers. As a reminder, balanced parentheses require every opening parenthesis to be closed in the reverse order opened. For example ‘([])’ is balanced but ‘([)]’ is not. \n",
-    "\n",
-    "\n",
-    "You can assume the input string has no spaces.\n",
-    "\n",
-    "## Solution\n",
-    "\n",
-    "Fill out your solution below:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def balance_check(s):\n",
-    "    chars = []\n",
-    "    matches = {')':'(',']':'[','}':'{'}\n",
-    "    for c in s:\n",
-    "        if c in matches:\n",
-    "            if chars.pop() != matches[c]:\n",
-    "                return False\n",
-    "        else:\n",
-    "            chars.append(c)\n",
-    "    return chars == []        \n",
-    "    pass"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "True"
-      ]
-     },
-     "execution_count": 2,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "balance_check('[]')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "True"
-      ]
-     },
-     "execution_count": 3,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "balance_check('[](){([[[]]])}')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "False"
-      ]
-     },
-     "execution_count": 4,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "balance_check('()(){]}')"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Test Your Solution"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "ALL TEST CASES PASSED\n"
-     ]
-    }
-   ],
-   "source": [
-    "\"\"\"\n",
-    "RUN THIS CELL TO TEST YOUR SOLUTION\n",
-    "\"\"\"\n",
-    "from nose.tools import assert_equal\n",
-    "\n",
-    "class TestBalanceCheck(object):\n",
-    "    \n",
-    "    def test(self,sol):\n",
-    "        assert_equal(sol('[](){([[[]]])}('),False)\n",
-    "        assert_equal(sol('[{{{(())}}}]((()))'),True)\n",
-    "        assert_equal(sol('[[[]])]'),False)\n",
-    "        print ('ALL TEST CASES PASSED')\n",
-    "        \n",
-    "# Run Tests\n",
-    "\n",
-    "t = TestBalanceCheck()\n",
-    "t.test(balance_check)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Good Job!"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.8.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 1
-}
diff --git a/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions  - PRACTICE/05-Implement a Queue -Using Two Stacks .ipynb b/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions  - PRACTICE/05-Implement a Queue -Using Two Stacks .ipynb
deleted file mode 100644
index 36a83851..00000000
--- a/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions  - PRACTICE/05-Implement a Queue -Using Two Stacks .ipynb	
+++ /dev/null
@@ -1,129 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Implement a Queue - Using Two Stacks\n",
-    "\n",
-    "Given the Stack class below, implement a Queue class using **two** stacks! Note, this is a \"classic\" interview problem. Use a Python list data structure as your Stack."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Uses lists instead of your own Stack class.\n",
-    "stack1 = []\n",
-    "stack2 = []"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Solution\n",
-    "\n",
-    "Fill out your solution below:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "class Queue2Stacks(object):\n",
-    "    \n",
-    "    def __init__(self):\n",
-    "        \n",
-    "        # Two Stacks\n",
-    "        self.in_stack = []\n",
-    "        self.out_stack = []\n",
-    "     \n",
-    "    def enqueue(self, element):\n",
-    "        # FILL OUT CODE HERE\n",
-    "        self.in_stack.append(element)\n",
-    "        pass\n",
-    "    \n",
-    "    def dequeue(self):\n",
-    "        \n",
-    "        # FILL OUT CODE HERE\n",
-    "        if not self.out_stack:\n",
-    "            while self.in_stack:\n",
-    "                self.out_stack.append(self.in_stack.pop())\n",
-    "        return self.out_stack.pop()\n",
-    "        pass"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Test Your Solution\n",
-    "\n",
-    "You should be able to tell with your current knowledge of Stacks and Queues if this is working as it should. For example, the following should print as such:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "0\n",
-      "1\n",
-      "2\n",
-      "3\n",
-      "4\n"
-     ]
-    }
-   ],
-   "source": [
-    "\"\"\"\n",
-    "RUN THIS CELL TO CHECK THAT YOUR SOLUTION OUTPUT MAKES SENSE AND BEHAVES AS A QUEUE\n",
-    "\"\"\"\n",
-    "q = Queue2Stacks()\n",
-    "\n",
-    "for i in range(5):\n",
-    "    q.enqueue(i)\n",
-    "    \n",
-    "for i in range(5):\n",
-    "    print (q.dequeue())"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Good Job!"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.8.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 1
-}
diff --git a/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions -SOLUTIONS/.ipynb_checkpoints/01-Implement a Stack - SOLUTION-checkpoint.ipynb b/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions -SOLUTIONS/.ipynb_checkpoints/01-Implement a Stack - SOLUTION-checkpoint.ipynb
deleted file mode 100644
index 7a33b782..00000000
--- a/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions -SOLUTIONS/.ipynb_checkpoints/01-Implement a Stack - SOLUTION-checkpoint.ipynb	
+++ /dev/null
@@ -1,61 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Implement a Stack -SOLUTION\n",
-    "\n",
-    "**Please refer to the lecture on implementation for a full explanation. Here is the code from that lecture:**"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "class Stack(object):\n",
-    "    \n",
-    "    def __init__(self):\n",
-    "        self.items = []\n",
-    "\n",
-    "    def isEmpty(self):\n",
-    "        return self.items == []\n",
-    "\n",
-    "    def push(self, item):\n",
-    "        self.items.append(item)\n",
-    "\n",
-    "    def pop(self):\n",
-    "        return self.items.pop()\n",
-    "\n",
-    "    def peek(self):\n",
-    "        return self.items[len(self.items)-1]\n",
-    "\n",
-    "    def size(self):\n",
-    "        return len(self.items)"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.8.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 1
-}
diff --git a/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions -SOLUTIONS/.ipynb_checkpoints/02-Implement a Queue - SOLUTION-checkpoint.ipynb b/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions -SOLUTIONS/.ipynb_checkpoints/02-Implement a Queue - SOLUTION-checkpoint.ipynb
deleted file mode 100644
index fd5d7571..00000000
--- a/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions -SOLUTIONS/.ipynb_checkpoints/02-Implement a Queue - SOLUTION-checkpoint.ipynb	
+++ /dev/null
@@ -1,57 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Implement a Queue - SOLUTION\n",
-    "\n",
-    "**Please refer to the Implementation of Queue lecture for a full explanation. The code from that lecture is below:**"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "class Queue:\n",
-    "    def __init__(self):\n",
-    "        self.items = []\n",
-    "\n",
-    "    def isEmpty(self):\n",
-    "        return self.items == []\n",
-    "\n",
-    "    def enqueue(self, item):\n",
-    "        self.items.insert(0,item)\n",
-    "\n",
-    "    def dequeue(self):\n",
-    "        return self.items.pop()\n",
-    "\n",
-    "    def size(self):\n",
-    "        return len(self.items)"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.8.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 1
-}
diff --git a/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions -SOLUTIONS/.ipynb_checkpoints/03-Implement a Deque - SOLUTION-checkpoint.ipynb b/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions -SOLUTIONS/.ipynb_checkpoints/03-Implement a Deque - SOLUTION-checkpoint.ipynb
deleted file mode 100644
index cb7750cd..00000000
--- a/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions -SOLUTIONS/.ipynb_checkpoints/03-Implement a Deque - SOLUTION-checkpoint.ipynb	
+++ /dev/null
@@ -1,63 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Implement a Deque - SOLUTION\n",
-    "\n",
-    "**Please refer to the Implementation of Deque lecture for a full explanation. The code from that lecture is below:**"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "class Deque:\n",
-    "    def __init__(self):\n",
-    "        self.items = []\n",
-    "\n",
-    "    def isEmpty(self):\n",
-    "        return self.items == []\n",
-    "\n",
-    "    def addFront(self, item):\n",
-    "        self.items.append(item)\n",
-    "\n",
-    "    def addRear(self, item):\n",
-    "        self.items.insert(0,item)\n",
-    "\n",
-    "    def removeFront(self):\n",
-    "        return self.items.pop()\n",
-    "\n",
-    "    def removeRear(self):\n",
-    "        return self.items.pop(0)\n",
-    "\n",
-    "    def size(self):\n",
-    "        return len(self.items)"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.8.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 1
-}
diff --git a/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions -SOLUTIONS/.ipynb_checkpoints/04-Balanced Parentheses Check - SOLUTION-checkpoint.ipynb b/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions -SOLUTIONS/.ipynb_checkpoints/04-Balanced Parentheses Check - SOLUTION-checkpoint.ipynb
deleted file mode 100644
index cc5a4c16..00000000
--- a/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions -SOLUTIONS/.ipynb_checkpoints/04-Balanced Parentheses Check - SOLUTION-checkpoint.ipynb	
+++ /dev/null
@@ -1,202 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Balanced Parentheses Check - SOLUTION\n",
-    "\n",
-    "## Problem Statement\n",
-    "\n",
-    "Given a string of opening and closing parentheses, check whether it’s balanced. We have 3 types of parentheses: round brackets: (), square brackets: [], and curly brackets: {}. Assume that the string doesn’t contain any other character than these, no spaces words or numbers. As a reminder, balanced parentheses require every opening parenthesis to be closed in the reverse order opened. For example ‘([])’ is balanced but ‘([)]’ is not. \n",
-    "\n",
-    "\n",
-    "You can assume the input string has no spaces.\n",
-    "\n",
-    "## Solution\n",
-    "\n",
-    "This is a very common interview question and is one of the main ways to check your knowledge of using Stacks! We will start our solution logic as such:\n",
-    "\n",
-    "First we will scan the string from left to right, and every time we see an opening parenthesis we push it to a stack, because we want the last opening parenthesis to be closed first. (Remember the FILO structure of a stack!)\n",
-    "\n",
-    "Then, when we see a closing parenthesis we check whether the last opened one is the corresponding closing match, by popping an element from the stack. If it’s a valid match, then we proceed forward, if not return false. \n",
-    "\n",
-    "Or if the stack is empty we also return false, because there’s no opening parenthesis associated with this closing one. In the end, we also check whether the stack is empty. If so, we return true, otherwise return false because there were some opened parenthesis that were not closed. \n",
-    "\n",
-    "Here's an example solution:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def balance_check(s):\n",
-    "    \n",
-    "    # Check is even number of brackets\n",
-    "    if len(s)%2 != 0:\n",
-    "        return False\n",
-    "    \n",
-    "    # Set of opening brackets\n",
-    "    opening = set('([{') \n",
-    "    \n",
-    "    # Matching Pairs\n",
-    "    matches = set([ ('(',')'), ('[',']'), ('{','}') ]) \n",
-    "    \n",
-    "    # Use a list as a \"Stack\"\n",
-    "    stack = []\n",
-    "    \n",
-    "    # Check every parenthesis in string\n",
-    "    for paren in s:\n",
-    "        \n",
-    "        # If its an opening, append it to list\n",
-    "        if paren in opening:\n",
-    "            stack.append(paren)\n",
-    "        \n",
-    "        else:\n",
-    "            \n",
-    "            # Check that there are parentheses in Stack\n",
-    "            if len(stack) == 0:\n",
-    "                return False\n",
-    "            \n",
-    "            # Check the last open parenthesis\n",
-    "            last_open = stack.pop()\n",
-    "            \n",
-    "            # Check if it has a closing match\n",
-    "            if (last_open,paren) not in matches:\n",
-    "                return False\n",
-    "            \n",
-    "    return len(stack) == 0"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "True"
-      ]
-     },
-     "execution_count": 2,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "balance_check('[]')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "True"
-      ]
-     },
-     "execution_count": 3,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "balance_check('[](){([[[]]])}')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "False"
-      ]
-     },
-     "execution_count": 4,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "balance_check('()(){]}')"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Test Your Solution"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "ALL TEST CASES PASSED\n"
-     ]
-    }
-   ],
-   "source": [
-    "\"\"\"\n",
-    "RUN THIS CELL TO TEST YOUR SOLUTION\n",
-    "\"\"\"\n",
-    "from nose.tools import assert_equal\n",
-    "\n",
-    "class TestBalanceCheck(object):\n",
-    "    \n",
-    "    def test(self,sol):\n",
-    "        assert_equal(sol('[](){([[[]]])}('),False)\n",
-    "        assert_equal(sol('[{{{(())}}}]((()))'),True)\n",
-    "        assert_equal(sol('[[[]])]'),False)\n",
-    "        print('ALL TEST CASES PASSED')\n",
-    "        \n",
-    "# Run Tests\n",
-    "\n",
-    "t = TestBalanceCheck()\n",
-    "t.test(balance_check)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Good Job!"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.8.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 1
-}
diff --git a/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions -SOLUTIONS/.ipynb_checkpoints/05-Implement a Queue -Using Two Stacks - SOLUTION-checkpoint.ipynb b/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions -SOLUTIONS/.ipynb_checkpoints/05-Implement a Queue -Using Two Stacks - SOLUTION-checkpoint.ipynb
deleted file mode 100644
index 7e63cb58..00000000
--- a/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions -SOLUTIONS/.ipynb_checkpoints/05-Implement a Queue -Using Two Stacks - SOLUTION-checkpoint.ipynb	
+++ /dev/null
@@ -1,128 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Implement a Queue - Using Two Stacks - SOLUTION\n",
-    "\n",
-    "Given the Stack class below, implement a Queue class using **two** stacks! Note, this is a \"classic\" interview problem. Use a Python list data structure as your Stack."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "stack1 = []\n",
-    "stack2 = []"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Solution\n",
-    "\n",
-    "The key insight is that a stack reverses order (while a queue doesn't). A sequence of elements pushed on a stack comes back in reversed order when popped. Consequently, two stacks chained together will return elements in the same order, since reversed order reversed again is original order.\n",
-    "\n",
-    " We use an in-stack that we fill when an element is enqueued and the dequeue operation takes elements from an out-stack. If the out-stack is empty we pop all elements from the in-stack and push them onto the out-stack. "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "class Queue2Stacks(object):\n",
-    "    \n",
-    "    def __init__(self):\n",
-    "        \n",
-    "        # Two Stacks\n",
-    "        self.instack = []\n",
-    "        self.outstack = []\n",
-    "     \n",
-    "    def enqueue(self,element):\n",
-    "        \n",
-    "        # Add an enqueue with the \"IN\" stack\n",
-    "        self.instack.append(element)\n",
-    "    \n",
-    "    def dequeue(self):\n",
-    "        if not self.outstack:\n",
-    "            while self.instack:\n",
-    "                # Add the elements to the outstack to reverse the order when called\n",
-    "                self.outstack.append(self.instack.pop())\n",
-    "        return self.outstack.pop()  "
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Test Your Solution\n",
-    "\n",
-    "You should be able to tell with your current knowledge of Stacks and Queues if this is working as it should. For example, the following should print as such:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "0\n",
-      "1\n",
-      "2\n",
-      "3\n",
-      "4\n"
-     ]
-    }
-   ],
-   "source": [
-    "\"\"\"\n",
-    "RUN THIS CELL TO CHECK THAT YOUR SOLUTION OUTPUT MAKES SENSE AND BEHAVES AS A QUEUE\n",
-    "\"\"\"\n",
-    "q = Queue2Stacks()\n",
-    "\n",
-    "for i in range(5):\n",
-    "    q.enqueue(i)\n",
-    "    \n",
-    "for i in range(5):\n",
-    "    print(q.dequeue())"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Good Job!"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.8.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 1
-}
diff --git a/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions -SOLUTIONS/.ipynb_checkpoints/Balanced Parentheses Check - SOLUTION-checkpoint.ipynb b/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions -SOLUTIONS/.ipynb_checkpoints/Balanced Parentheses Check - SOLUTION-checkpoint.ipynb
deleted file mode 100644
index a4cf7848..00000000
--- a/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions -SOLUTIONS/.ipynb_checkpoints/Balanced Parentheses Check - SOLUTION-checkpoint.ipynb	
+++ /dev/null
@@ -1,212 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Balanced Parentheses Check - SOLUTION\n",
-    "\n",
-    "## Problem Statement\n",
-    "\n",
-    "Given a string of opening and closing parentheses, check whether it’s balanced. We have 3 types of parentheses: round brackets: (), square brackets: [], and curly brackets: {}. Assume that the string doesn’t contain any other character than these, no spaces words or numbers. As a reminder, balanced parentheses require every opening parenthesis to be closed in the reverse order opened. For example ‘([])’ is balanced but ‘([)]’ is not. \n",
-    "\n",
-    "\n",
-    "You can assume the input string has no spaces.\n",
-    "\n",
-    "## Solution\n",
-    "\n",
-    "This is a very common interview question and is one of the main ways to check your knowledge of using Stacks! We will start our solution logic as such:\n",
-    "\n",
-    "First we will scan the string from left to right, and every time we see an opening parenthesis we push it to a stack, because we want the last opening parenthesis to be closed first. (Remember the FILO structure of a stack!)\n",
-    "\n",
-    "Then, when we see a closing parenthesis we check whether the last opened one is the corresponding closing match, by popping an element from the stack. If it’s a valid match, then we proceed forward, if not return false. \n",
-    "\n",
-    "Or if the stack is empty we also return false, because there’s no opening parenthesis associated with this closing one. In the end, we also check whether the stack is empty. If so, we return true, otherwise return false because there were some opened parenthesis that were not closed. \n",
-    "\n",
-    "Here's an example solution:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 10,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "def balance_check(s):\n",
-    "    \n",
-    "    # Check is even number of brackets\n",
-    "    if len(s)%2 != 0:\n",
-    "        return False\n",
-    "    \n",
-    "    # Set of opening brackets\n",
-    "    opening = set('([{') \n",
-    "    \n",
-    "    # Matching Pairs\n",
-    "    matches = set([ ('(',')'), ('[',']'), ('{','}') ]) \n",
-    "    \n",
-    "    # Use a list as a \"Stack\"\n",
-    "    stack = []\n",
-    "    \n",
-    "    # Check every parenthesis in string\n",
-    "    for paren in s:\n",
-    "        \n",
-    "        # If its an opening, append it to list\n",
-    "        if paren in opening:\n",
-    "            stack.append(paren)\n",
-    "        \n",
-    "        else:\n",
-    "            \n",
-    "            # Check that there are parentheses in Stack\n",
-    "            if len(stack) == 0:\n",
-    "                return False\n",
-    "            \n",
-    "            # Check the last open parenthesis\n",
-    "            last_open = stack.pop()\n",
-    "            \n",
-    "            # Check if it has a closing match\n",
-    "            if (last_open,paren) not in matches:\n",
-    "                return False\n",
-    "            \n",
-    "    return len(stack) == 0"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 13,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "True"
-      ]
-     },
-     "execution_count": 13,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "balance_check('[]')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 16,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "True"
-      ]
-     },
-     "execution_count": 16,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "balance_check('[](){([[[]]])}')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 17,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "False"
-      ]
-     },
-     "execution_count": 17,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "balance_check('()(){]}')"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Test Your Solution"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 18,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "ALL TEST CASES PASSED\n"
-     ]
-    }
-   ],
-   "source": [
-    "\"\"\"\n",
-    "RUN THIS CELL TO TEST YOUR SOLUTION\n",
-    "\"\"\"\n",
-    "from nose.tools import assert_equal\n",
-    "\n",
-    "class TestBalanceCheck(object):\n",
-    "    \n",
-    "    def test(self,sol):\n",
-    "        assert_equal(sol('[](){([[[]]])}('),False)\n",
-    "        assert_equal(sol('[{{{(())}}}]((()))'),True)\n",
-    "        assert_equal(sol('[[[]])]'),False)\n",
-    "        print 'ALL TEST CASES PASSED'\n",
-    "        \n",
-    "# Run Tests\n",
-    "\n",
-    "t = TestBalanceCheck()\n",
-    "t.test(balance_check)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Good Job!"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 2",
-   "language": "python",
-   "name": "python2"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 2
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 0
-}
diff --git a/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions -SOLUTIONS/.ipynb_checkpoints/Implement a Deque - SOLUTION-checkpoint.ipynb b/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions -SOLUTIONS/.ipynb_checkpoints/Implement a Deque - SOLUTION-checkpoint.ipynb
deleted file mode 100644
index af87180e..00000000
--- a/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions -SOLUTIONS/.ipynb_checkpoints/Implement a Deque - SOLUTION-checkpoint.ipynb	
+++ /dev/null
@@ -1,65 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Implement a Deque - SOLUTION\n",
-    "\n",
-    "**Please refer to the Implementation of Deque lecture for a full explanation. The code from that lecture is below:**"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "class Deque:\n",
-    "    def __init__(self):\n",
-    "        self.items = []\n",
-    "\n",
-    "    def isEmpty(self):\n",
-    "        return self.items == []\n",
-    "\n",
-    "    def addFront(self, item):\n",
-    "        self.items.append(item)\n",
-    "\n",
-    "    def addRear(self, item):\n",
-    "        self.items.insert(0,item)\n",
-    "\n",
-    "    def removeFront(self):\n",
-    "        return self.items.pop()\n",
-    "\n",
-    "    def removeRear(self):\n",
-    "        return self.items.pop(0)\n",
-    "\n",
-    "    def size(self):\n",
-    "        return len(self.items)"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 2",
-   "language": "python",
-   "name": "python2"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 2
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 0
-}
diff --git a/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions -SOLUTIONS/.ipynb_checkpoints/Implement a Queue - SOLUTION-checkpoint.ipynb b/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions -SOLUTIONS/.ipynb_checkpoints/Implement a Queue - SOLUTION-checkpoint.ipynb
deleted file mode 100644
index a400bb3d..00000000
--- a/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions -SOLUTIONS/.ipynb_checkpoints/Implement a Queue - SOLUTION-checkpoint.ipynb	
+++ /dev/null
@@ -1,59 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Implement a Queue - SOLUTION\n",
-    "\n",
-    "**Please refer to the Implementation of Queue lecture for a full explanation. The code from that lecture is below:**"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "class Queue:\n",
-    "    def __init__(self):\n",
-    "        self.items = []\n",
-    "\n",
-    "    def isEmpty(self):\n",
-    "        return self.items == []\n",
-    "\n",
-    "    def enqueue(self, item):\n",
-    "        self.items.insert(0,item)\n",
-    "\n",
-    "    def dequeue(self):\n",
-    "        return self.items.pop()\n",
-    "\n",
-    "    def size(self):\n",
-    "        return len(self.items)"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 2",
-   "language": "python",
-   "name": "python2"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 2
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 0
-}
diff --git a/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions -SOLUTIONS/.ipynb_checkpoints/Implement a Queue -Using Two Stacks - SOLUTION-checkpoint.ipynb b/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions -SOLUTIONS/.ipynb_checkpoints/Implement a Queue -Using Two Stacks - SOLUTION-checkpoint.ipynb
deleted file mode 100644
index e66de679..00000000
--- a/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions -SOLUTIONS/.ipynb_checkpoints/Implement a Queue -Using Two Stacks - SOLUTION-checkpoint.ipynb	
+++ /dev/null
@@ -1,134 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Implement a Queue - Using Two Stacks - SOLUTION\n",
-    "\n",
-    "Given the Stack class below, implement a Queue class using **two** stacks! Note, this is a \"classic\" interview problem. Use a Python list data structure as your Stack."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 30,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "stack1 = []\n",
-    "stack2 = []"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Solution\n",
-    "\n",
-    "The key insight is that a stack reverses order (while a queue doesn't). A sequence of elements pushed on a stack comes back in reversed order when popped. Consequently, two stacks chained together will return elements in the same order, since reversed order reversed again is original order.\n",
-    "\n",
-    " We use an in-stack that we fill when an element is enqueued and the dequeue operation takes elements from an out-stack. If the out-stack is empty we pop all elements from the in-stack and push them onto the out-stack. "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 31,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "class Queue2Stacks(object):\n",
-    "    \n",
-    "    def __init__(self):\n",
-    "        \n",
-    "        # Two Stacks\n",
-    "        self.instack = []\n",
-    "        self.outstack = []\n",
-    "     \n",
-    "    def enqueue(self,element):\n",
-    "        \n",
-    "        # Add an enqueue with the \"IN\" stack\n",
-    "        self.instack.append(element)\n",
-    "    \n",
-    "    def dequeue(self):\n",
-    "        if not self.outstack:\n",
-    "            while self.instack:\n",
-    "                # Add the elements to the outstack to reverse the order when called\n",
-    "                self.outstack.append(self.instack.pop())\n",
-    "        return self.outstack.pop()  "
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Test Your Solution\n",
-    "\n",
-    "You should be able to tell with your current knowledge of Stacks and Queues if this is working as it should. For example, the following should print as such:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 34,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "0\n",
-      "1\n",
-      "2\n",
-      "3\n",
-      "4\n"
-     ]
-    }
-   ],
-   "source": [
-    "\"\"\"\n",
-    "RUN THIS CELL TO CHECK THAT YOUR SOLUTION OUTPUT MAKES SENSE AND BEHAVES AS A QUEUE\n",
-    "\"\"\"\n",
-    "q = Queue2Stacks()\n",
-    "\n",
-    "for i in xrange(5):\n",
-    "    q.enqueue(i)\n",
-    "    \n",
-    "for i in xrange(5):\n",
-    "    print q.dequeue()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Good Job!"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 2",
-   "language": "python",
-   "name": "python2"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 2
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 0
-}
diff --git a/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions -SOLUTIONS/.ipynb_checkpoints/Implement a Stack - SOLUTION-checkpoint.ipynb b/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions -SOLUTIONS/.ipynb_checkpoints/Implement a Stack - SOLUTION-checkpoint.ipynb
deleted file mode 100644
index cb9fd690..00000000
--- a/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions -SOLUTIONS/.ipynb_checkpoints/Implement a Stack - SOLUTION-checkpoint.ipynb	
+++ /dev/null
@@ -1,63 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Implement a Stack -SOLUTION\n",
-    "\n",
-    "**Please refer to the lecture on implementation for a full explanation. Here is the code from that lecture:**"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "class Stack(object):\n",
-    "    \n",
-    "    def __init__(self):\n",
-    "        self.items = []\n",
-    "\n",
-    "    def isEmpty(self):\n",
-    "        return self.items == []\n",
-    "\n",
-    "    def push(self, item):\n",
-    "        self.items.append(item)\n",
-    "\n",
-    "    def pop(self):\n",
-    "        return self.items.pop()\n",
-    "\n",
-    "    def peek(self):\n",
-    "        return self.items[len(self.items)-1]\n",
-    "\n",
-    "    def size(self):\n",
-    "        return len(self.items)"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 2",
-   "language": "python",
-   "name": "python2"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 2
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 0
-}
diff --git a/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions /.ipynb_checkpoints/01-Implement a Stack -checkpoint.ipynb b/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions /.ipynb_checkpoints/01-Implement a Stack -checkpoint.ipynb
deleted file mode 100644
index 06953061..00000000
--- a/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions /.ipynb_checkpoints/01-Implement a Stack -checkpoint.ipynb	
+++ /dev/null
@@ -1,57 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Implement a Stack \n",
-    "\n",
-    "A very common interview question is to begin by just implementing a Stack! Try your best to implement your own stack!\n",
-    "\n",
-    "It should have the methods:\n",
-    "\n",
-    "* Check if its empty\n",
-    "* Push a new item\n",
-    "* Pop an item\n",
-    "* Peek at the top item\n",
-    "* Return the size"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "class Stack(object):\n",
-    "    \n",
-    "    \n",
-    "    # Fill out the Stack Methods here\n",
-    "    pass"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.8.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 1
-}
diff --git a/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions /.ipynb_checkpoints/02-Implement a Queue-checkpoint.ipynb b/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions /.ipynb_checkpoints/02-Implement a Queue-checkpoint.ipynb
deleted file mode 100644
index ae0cda90..00000000
--- a/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions /.ipynb_checkpoints/02-Implement a Queue-checkpoint.ipynb	
+++ /dev/null
@@ -1,51 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Implement a Queue\n",
-    "\n",
-    "It's very common to be asked to implement a Queue class! The class should be able to do the following:\n",
-    "\n",
-    "* Check if Queue is Empty\n",
-    "* Enqueue\n",
-    "* Dequeue\n",
-    "* Return the size of the Queue"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "class Queue(object):\n",
-    "    pass"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.8.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 1
-}
diff --git a/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions /.ipynb_checkpoints/03-Implement a Deque -checkpoint.ipynb b/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions /.ipynb_checkpoints/03-Implement a Deque -checkpoint.ipynb
deleted file mode 100644
index a7c0e1da..00000000
--- a/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions /.ipynb_checkpoints/03-Implement a Deque -checkpoint.ipynb	
+++ /dev/null
@@ -1,51 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Implement a Deque \n",
-    "\n",
-    "Finally, implement a Deque class! It should be able to do the following:\n",
-    "\n",
-    "* Check if its empty\n",
-    "* Add to both front and rear\n",
-    "* Remove from Front and Rear\n",
-    "* Check the Size"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "class Deque(object):\n",
-    "    pass"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.8.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 1
-}
diff --git a/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions /.ipynb_checkpoints/04-Balanced Parentheses Check -checkpoint.ipynb b/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions /.ipynb_checkpoints/04-Balanced Parentheses Check -checkpoint.ipynb
deleted file mode 100644
index d88791ba..00000000
--- a/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions /.ipynb_checkpoints/04-Balanced Parentheses Check -checkpoint.ipynb	
+++ /dev/null
@@ -1,163 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Balanced Parentheses Check \n",
-    "\n",
-    "## Problem Statement\n",
-    "\n",
-    "Given a string of opening and closing parentheses, check whether it’s balanced. We have 3 types of parentheses: round brackets: (), square brackets: [], and curly brackets: {}. Assume that the string doesn’t contain any other character than these, no spaces words or numbers. As a reminder, balanced parentheses require every opening parenthesis to be closed in the reverse order opened. For example ‘([])’ is balanced but ‘([)]’ is not. \n",
-    "\n",
-    "\n",
-    "You can assume the input string has no spaces.\n",
-    "\n",
-    "## Solution\n",
-    "\n",
-    "Fill out your solution below:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 10,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "def balance_check(s):\n",
-    "    \n",
-    "    pass"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 13,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "True"
-      ]
-     },
-     "execution_count": 13,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "balance_check('[]')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 16,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "True"
-      ]
-     },
-     "execution_count": 16,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "balance_check('[](){([[[]]])}')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 17,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "False"
-      ]
-     },
-     "execution_count": 17,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "balance_check('()(){]}')"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Test Your Solution"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 18,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "ALL TEST CASES PASSED\n"
-     ]
-    }
-   ],
-   "source": [
-    "\"\"\"\n",
-    "RUN THIS CELL TO TEST YOUR SOLUTION\n",
-    "\"\"\"\n",
-    "from nose.tools import assert_equal\n",
-    "\n",
-    "class TestBalanceCheck(object):\n",
-    "    \n",
-    "    def test(self,sol):\n",
-    "        assert_equal(sol('[](){([[[]]])}('),False)\n",
-    "        assert_equal(sol('[{{{(())}}}]((()))'),True)\n",
-    "        assert_equal(sol('[[[]])]'),False)\n",
-    "        print('ALL TEST CASES PASSED')\n",
-    "        \n",
-    "# Run Tests\n",
-    "\n",
-    "t = TestBalanceCheck()\n",
-    "t.test(balance_check)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Good Job!"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.8.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 1
-}
diff --git a/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions /.ipynb_checkpoints/05-Implement a Queue -Using Two Stacks -checkpoint.ipynb b/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions /.ipynb_checkpoints/05-Implement a Queue -Using Two Stacks -checkpoint.ipynb
deleted file mode 100644
index a77bcfe1..00000000
--- a/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions /.ipynb_checkpoints/05-Implement a Queue -Using Two Stacks -checkpoint.ipynb	
+++ /dev/null
@@ -1,113 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Implement a Queue - Using Two Stacks\n",
-    "\n",
-    "Given the Stack class below, implement a Queue class using **two** stacks! Note, this is a \"classic\" interview problem. Use a Python list data structure as your Stack."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Uses lists instead of your own Stack class.\n",
-    "stack1 = []\n",
-    "stack2 = []"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Solution\n",
-    "\n",
-    "Fill out your solution below:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "class Queue2Stacks(object):\n",
-    "    \n",
-    "    def __init__(self):\n",
-    "        \n",
-    "        # Two Stacks\n",
-    "        self.stack1 = []\n",
-    "        self.stack2 = []\n",
-    "     \n",
-    "    def enqueue(self,element):\n",
-    "        \n",
-    "        # FILL OUT CODE HERE\n",
-    "        pass\n",
-    "    \n",
-    "    def dequeue(self):\n",
-    "        \n",
-    "        # FILL OUT CODE HERE\n",
-    "        pass  "
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Test Your Solution\n",
-    "\n",
-    "You should be able to tell with your current knowledge of Stacks and Queues if this is working as it should. For example, the following should print as such:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "\"\"\"\n",
-    "RUN THIS CELL TO CHECK THAT YOUR SOLUTION OUTPUT MAKES SENSE AND BEHAVES AS A QUEUE\n",
-    "\"\"\"\n",
-    "q = Queue2Stacks()\n",
-    "\n",
-    "for i in range(5):\n",
-    "    q.enqueue(i)\n",
-    "    \n",
-    "for i in range(5):\n",
-    "    print(q.dequeue())"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Good Job!"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.8.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 1
-}
diff --git a/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions /.ipynb_checkpoints/Implement a Stack -checkpoint.ipynb b/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions /.ipynb_checkpoints/Implement a Stack -checkpoint.ipynb
deleted file mode 100644
index 6dea3952..00000000
--- a/03-Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions /.ipynb_checkpoints/Implement a Stack -checkpoint.ipynb	
+++ /dev/null
@@ -1,57 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Implement a Stack \n",
-    "\n",
-    "A very common interview question is to begin by just implementing a Stack! Try your best to implement your own stack!\n",
-    "\n",
-    "It should have the methods:\n",
-    "\n",
-    "* Check if its empty\n",
-    "* Push a new item\n",
-    "* Pop an item\n",
-    "* Peek at the top item\n",
-    "* Return the size"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "class Stack(object):\n",
-    "    \n",
-    "    \n",
-    "    # Fill out the Stack Methods here\n",
-    "    pass"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 2",
-   "language": "python",
-   "name": "python2"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 2
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 0
-}
diff --git a/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems - SOLUTIONS/01-Singly Linked List Cycle Check - SOLUTION.ipynb b/04-Linked Lists/Linked Lists Interview Problems/01-Singly-Linked-List-Cycle-Check/01-Singly Linked List Cycle Check - SOLUTION.ipynb
similarity index 100%
rename from 04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems - SOLUTIONS/01-Singly Linked List Cycle Check - SOLUTION.ipynb
rename to 04-Linked Lists/Linked Lists Interview Problems/01-Singly-Linked-List-Cycle-Check/01-Singly Linked List Cycle Check - SOLUTION.ipynb
diff --git a/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems /01-Singly Linked List Cycle Check.ipynb b/04-Linked Lists/Linked Lists Interview Problems/01-Singly-Linked-List-Cycle-Check/01-Singly Linked List Cycle Check.ipynb
similarity index 100%
rename from 04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems /01-Singly Linked List Cycle Check.ipynb
rename to 04-Linked Lists/Linked Lists Interview Problems/01-Singly-Linked-List-Cycle-Check/01-Singly Linked List Cycle Check.ipynb
diff --git a/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems - SOLUTIONS/02-Linked List Reversal - SOLUTION.ipynb b/04-Linked Lists/Linked Lists Interview Problems/02-Linked-List-Reversal/02-Linked List Reversal - SOLUTION.ipynb
similarity index 100%
rename from 04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems - SOLUTIONS/02-Linked List Reversal - SOLUTION.ipynb
rename to 04-Linked Lists/Linked Lists Interview Problems/02-Linked-List-Reversal/02-Linked List Reversal - SOLUTION.ipynb
diff --git a/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems /02-Linked List Reversal .ipynb b/04-Linked Lists/Linked Lists Interview Problems/02-Linked-List-Reversal/02-Linked List Reversal .ipynb
similarity index 100%
rename from 04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems /02-Linked List Reversal .ipynb
rename to 04-Linked Lists/Linked Lists Interview Problems/02-Linked-List-Reversal/02-Linked List Reversal .ipynb
diff --git a/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems - SOLUTIONS/03-Linked List Nth to Last Node - SOLUTION.ipynb b/04-Linked Lists/Linked Lists Interview Problems/03-Linked-List-Nth-to-Last-Node/03-Linked List Nth to Last Node - SOLUTION.ipynb
similarity index 100%
rename from 04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems - SOLUTIONS/03-Linked List Nth to Last Node - SOLUTION.ipynb
rename to 04-Linked Lists/Linked Lists Interview Problems/03-Linked-List-Nth-to-Last-Node/03-Linked List Nth to Last Node - SOLUTION.ipynb
diff --git a/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems /03-Linked List Nth to Last Node .ipynb b/04-Linked Lists/Linked Lists Interview Problems/03-Linked-List-Nth-to-Last-Node/03-Linked List Nth to Last Node .ipynb
similarity index 100%
rename from 04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems /03-Linked List Nth to Last Node .ipynb
rename to 04-Linked Lists/Linked Lists Interview Problems/03-Linked-List-Nth-to-Last-Node/03-Linked List Nth to Last Node .ipynb
diff --git a/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems /04-Implement a Doubly Linked List.ipynb b/04-Linked Lists/Linked Lists Interview Problems/04-Implement-a-Doubly-Linked-List/04-Implement a Doubly Linked List.ipynb
similarity index 100%
rename from 04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems /04-Implement a Doubly Linked List.ipynb
rename to 04-Linked Lists/Linked Lists Interview Problems/04-Implement-a-Doubly-Linked-List/04-Implement a Doubly Linked List.ipynb
diff --git a/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems - SOLUTIONS/04-Implement a Linked List -SOLUTION.ipynb b/04-Linked Lists/Linked Lists Interview Problems/04-Implement-a-Doubly-Linked-List/04-Implement a Linked List -SOLUTION.ipynb
similarity index 100%
rename from 04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems - SOLUTIONS/04-Implement a Linked List -SOLUTION.ipynb
rename to 04-Linked Lists/Linked Lists Interview Problems/04-Implement-a-Doubly-Linked-List/04-Implement a Linked List -SOLUTION.ipynb
diff --git a/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems /.ipynb_checkpoints/04-Implement a Singly Linked List-checkpoint.ipynb b/04-Linked Lists/Linked Lists Interview Problems/05-Implement-a-Singly-Linked-List/05-Implement a Singly Linked List.ipynb
similarity index 100%
rename from 04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems /.ipynb_checkpoints/04-Implement a Singly Linked List-checkpoint.ipynb
rename to 04-Linked Lists/Linked Lists Interview Problems/05-Implement-a-Singly-Linked-List/05-Implement a Singly Linked List.ipynb
diff --git a/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems  - PRACTICE/.ipynb_checkpoints/01-Singly Linked List Cycle Check-checkpoint.ipynb b/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems  - PRACTICE/.ipynb_checkpoints/01-Singly Linked List Cycle Check-checkpoint.ipynb
deleted file mode 100644
index 210aebea..00000000
--- a/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems  - PRACTICE/.ipynb_checkpoints/01-Singly Linked List Cycle Check-checkpoint.ipynb	
+++ /dev/null
@@ -1,149 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Singly Linked List Cycle Check \n",
-    "\n",
-    "## Problem\n",
-    "\n",
-    "Given a singly linked list, write a function which takes in the first node in a singly linked list and returns a boolean indicating if the linked list contains a \"cycle\".\n",
-    "\n",
-    "A cycle is when a node's next point actually points back to a previous node in the list. This is also sometimes known as a circularly linked list.\n",
-    "\n",
-    "You've been given the Linked List Node class code:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "class Node(object):\n",
-    "    \n",
-    "    def __init__(self,value):\n",
-    "        \n",
-    "        self.value = value\n",
-    "        self.nextnode = None"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Solution\n",
-    "\n",
-    "Fill out your solution:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def cycle_check(node):\n",
-    "#     Use fast and slow pointer\n",
-    "    fast, slow = node, node\n",
-    "    while fast and fast.nextnode:\n",
-    "        fast = fast.nextnode\n",
-    "        if fast == slow:\n",
-    "            return True\n",
-    "        fast = fast.nextnode\n",
-    "        slow = slow.nextnode\n",
-    "    return False\n",
-    "    pass #Your function should return a boolean"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Test Your Solution"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "ALL TEST CASES PASSED\n"
-     ]
-    }
-   ],
-   "source": [
-    "\"\"\"\n",
-    "RUN THIS CELL TO TEST YOUR SOLUTION\n",
-    "\"\"\"\n",
-    "from nose.tools import assert_equal\n",
-    "\n",
-    "# CREATE CYCLE LIST\n",
-    "a = Node(1)\n",
-    "b = Node(2)\n",
-    "c = Node(3)\n",
-    "\n",
-    "a.nextnode = b\n",
-    "b.nextnode = c\n",
-    "c.nextnode = a # Cycle Here!\n",
-    "\n",
-    "\n",
-    "# CREATE NON CYCLE LIST\n",
-    "x = Node(1)\n",
-    "y = Node(2)\n",
-    "z = Node(3)\n",
-    "\n",
-    "x.nextnode = y\n",
-    "y.nextnode = z\n",
-    "\n",
-    "\n",
-    "#############\n",
-    "class TestCycleCheck(object):\n",
-    "    \n",
-    "    def test(self,sol):\n",
-    "        assert_equal(sol(a),True)\n",
-    "        assert_equal(sol(x),False)\n",
-    "        \n",
-    "        print (\"ALL TEST CASES PASSED\")\n",
-    "        \n",
-    "# Run Tests\n",
-    "\n",
-    "t = TestCycleCheck()\n",
-    "t.test(cycle_check)\n"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Good Job!"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.8.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 1
-}
diff --git a/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems  - PRACTICE/.ipynb_checkpoints/02-Linked List Reversal -checkpoint.ipynb b/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems  - PRACTICE/.ipynb_checkpoints/02-Linked List Reversal -checkpoint.ipynb
deleted file mode 100644
index 132acf4f..00000000
--- a/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems  - PRACTICE/.ipynb_checkpoints/02-Linked List Reversal -checkpoint.ipynb	
+++ /dev/null
@@ -1,194 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Linked List Reversal \n",
-    "\n",
-    "## Problem\n",
-    "\n",
-    "Write a function to reverse a Linked List in place. The function will take in the head of the list as input and return the new head of the list.\n",
-    "\n",
-    "You are given the example Linked List Node class:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "class Node(object):\n",
-    "    \n",
-    "    def __init__(self,value):\n",
-    "        \n",
-    "        self.value = value\n",
-    "        self.nextnode = None"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Solution\n",
-    "\n",
-    "Fill out your solution below:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def reverse(head):\n",
-    "    cur = head\n",
-    "    pre, nxt = None, None\n",
-    "    while cur:# watch out\n",
-    "        nxt = cur.nextnode\n",
-    "        cur.nextnode = pre\n",
-    "        pre = cur\n",
-    "        cur = nxt\n",
-    "    return pre #watch out\n",
-    "    pass"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Test Your Solution\n",
-    "\n",
-    "**Note, this isn't a classic run cell for testing your solution, please read the statements below carefully**\n",
-    "\n",
-    "You should be able to easily test your own solution to make sure it works. Given the short list a,b,c,d with values 1,2,3,4. Check the effect of your reverse function and make sure the results match the logic here below:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Create a list of 4 nodes\n",
-    "a = Node(1)\n",
-    "b = Node(2)\n",
-    "c = Node(3)\n",
-    "d = Node(4)\n",
-    "\n",
-    "# Set up order a,b,c,d with values 1,2,3,4\n",
-    "a.nextnode = b\n",
-    "b.nextnode = c\n",
-    "c.nextnode = d"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Now let's check the values of the nodes coming after a, b and c:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "print (a.nextnode.value)\n",
-    "print (b.nextnode.value)\n",
-    "print (c.nextnode.value)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "d.nextnode.value"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "So far so good. Note how there is no value proceeding the last node, this makes sense! Now let's reverse the linked list, we should see the opposite order of values!"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "reverse(a)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "print (d.nextnode.value)\n",
-    "print (c.nextnode.value)\n",
-    "print (b.nextnode.value)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "print(a.nextnode.value) # This will give an error since it now points to None"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Great, now we can see that each of the values points to its previous value (although now that the linked list is reversed we can see the ordering has also reversed)\n",
-    "\n",
-    "## Good Job!"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.8.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 1
-}
diff --git a/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems  - PRACTICE/.ipynb_checkpoints/03-Linked List Nth to Last Node -checkpoint.ipynb b/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems  - PRACTICE/.ipynb_checkpoints/03-Linked List Nth to Last Node -checkpoint.ipynb
deleted file mode 100644
index c115a4b9..00000000
--- a/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems  - PRACTICE/.ipynb_checkpoints/03-Linked List Nth to Last Node -checkpoint.ipynb	
+++ /dev/null
@@ -1,173 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Linked List Nth to Last Node \n",
-    "\n",
-    "## Problem Statement\n",
-    "Write a function that takes a head node and an integer value **n** and then returns the nth to last node in the linked list. For example, given:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "class Node:\n",
-    "\n",
-    "    def __init__(self, value):\n",
-    "        self.value = value\n",
-    "        self.nextnode  = None"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "**Example Input and Output:**"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "a = Node(1)\n",
-    "b = Node(2)\n",
-    "c = Node(3)\n",
-    "d = Node(4)\n",
-    "e = Node(5)\n",
-    "\n",
-    "a.nextnode = b\n",
-    "b.nextnode = c\n",
-    "c.nextnode = d\n",
-    "d.nextnode = e\n",
-    "\n",
-    "# This would return the node d with a value of 4, because its the 2nd to last node.\n",
-    "target_node = nth_to_last_node(2, a) "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "target_node.value"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Solution\n",
-    "Fill out your solution below:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def nth_to_last_node(n, head):\n",
-    "    slow, fast = head, head\n",
-    "    while n > 0 and fast:\n",
-    "        fast=fast.nextnode\n",
-    "        n-=1\n",
-    "    if not fast:\n",
-    "        return head\n",
-    "    while fast:\n",
-    "        fast=fast.nextnode\n",
-    "        slow=slow.nextnode\n",
-    "    return slow\n",
-    "    pass"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Test Your Solution"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "\"\"\"\n",
-    "RUN THIS CELL TO TEST YOUR SOLUTION AGAINST A TEST CASE \n",
-    "\n",
-    "PLEASE NOTE THIS IS JUST ONE CASE\n",
-    "\"\"\"\n",
-    "\n",
-    "from nose.tools import assert_equal\n",
-    "\n",
-    "a = Node(1)\n",
-    "b = Node(2)\n",
-    "c = Node(3)\n",
-    "d = Node(4)\n",
-    "e = Node(5)\n",
-    "\n",
-    "a.nextnode = b\n",
-    "b.nextnode = c\n",
-    "c.nextnode = d\n",
-    "d.nextnode = e\n",
-    "\n",
-    "####\n",
-    "\n",
-    "class TestNLast(object):\n",
-    "    \n",
-    "    def test(self,sol):\n",
-    "        \n",
-    "        assert_equal(sol(2,a),d)\n",
-    "        print ('ALL TEST CASES PASSED')\n",
-    "        \n",
-    "# Run tests\n",
-    "t = TestNLast()\n",
-    "t.test(nth_to_last_node)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Good Job!"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.8.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 1
-}
diff --git a/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems  - PRACTICE/.ipynb_checkpoints/04-Implement a Doubly Linked List-checkpoint.ipynb b/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems  - PRACTICE/.ipynb_checkpoints/04-Implement a Doubly Linked List-checkpoint.ipynb
deleted file mode 100644
index 4b403bda..00000000
--- a/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems  - PRACTICE/.ipynb_checkpoints/04-Implement a Doubly Linked List-checkpoint.ipynb	
+++ /dev/null
@@ -1,69 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Implement a Doubly Linked List\n",
-    "\n",
-    "For this interview problem, implement a node class and show how it can be used to create a doubly linked list."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "class Node(object):\n",
-    "    def __init__(self, value):\n",
-    "        self.prev = None\n",
-    "        self.val = value\n",
-    "        self.next = None\n",
-    "    pass"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "# Create a Doubly Linked List here"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Test Your Solution\n",
-    "Note that there is no test for this solution (because it would give away the answer structure).\n",
-    "\n",
-    "Check out the Implement a Linked List Solution Notebook for the answer to this interview problem, as well as the answer for the implementation of a singly linked list."
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.8.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 1
-}
diff --git a/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems  - PRACTICE/.ipynb_checkpoints/04-Implement a Singly Linked List-checkpoint.ipynb b/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems  - PRACTICE/.ipynb_checkpoints/04-Implement a Singly Linked List-checkpoint.ipynb
deleted file mode 100644
index 5fc0825a..00000000
--- a/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems  - PRACTICE/.ipynb_checkpoints/04-Implement a Singly Linked List-checkpoint.ipynb	
+++ /dev/null
@@ -1,69 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Implement a Singly Linked List\n",
-    "\n",
-    "For this interview problem, create a node class and show how it can be used to create a Singly Linked List"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "class Node(object):\n",
-    "    def __init__(self, value):\n",
-    "        self.val = value\n",
-    "        self.next = None\n",
-    "    pass"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "# Create a Singly Linked List here"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Test Your Solution\n",
-    "\n",
-    "Note that there is no test for this solution (because it would give away the answer structure).\n",
-    "\n",
-    "Check out the Implement a Linked List Solution Notebook for the answer to this interview problem, as well as the answer for the implementation of a doubly linked list."
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.8.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 1
-}
diff --git a/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems  - PRACTICE/.ipynb_checkpoints/Implement a Doubly Linked List-checkpoint.ipynb b/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems  - PRACTICE/.ipynb_checkpoints/Implement a Doubly Linked List-checkpoint.ipynb
deleted file mode 100644
index 789493fe..00000000
--- a/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems  - PRACTICE/.ipynb_checkpoints/Implement a Doubly Linked List-checkpoint.ipynb	
+++ /dev/null
@@ -1,69 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Implement a Doubly Linked List\n",
-    "\n",
-    "For this interview problem, implement a node class and show how it can be used to create a doubly linked list."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "class Node(object):\n",
-    "    def __init__(self, value):\n",
-    "        self.prev = None\n",
-    "        self.val = value\n",
-    "        self.next = None\n",
-    "    pass"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "# Create a Doubly Linked List here"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Test Your Solution\n",
-    "Note that there is no test for this solution (because it would give away the answer structure).\n",
-    "\n",
-    "Check out the Implement a Linked List Solution Notebook for the answer to this interview problem, as well as the answer for the implementation of a singly linked list."
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.6.2"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 1
-}
diff --git a/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems  - PRACTICE/.ipynb_checkpoints/Implement a Singly Linked List-checkpoint.ipynb b/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems  - PRACTICE/.ipynb_checkpoints/Implement a Singly Linked List-checkpoint.ipynb
deleted file mode 100644
index 340116ee..00000000
--- a/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems  - PRACTICE/.ipynb_checkpoints/Implement a Singly Linked List-checkpoint.ipynb	
+++ /dev/null
@@ -1,69 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Implement a Singly Linked List\n",
-    "\n",
-    "For this interview problem, create a node class and show how it can be used to create a Singly Linked List"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "class Node(object):\n",
-    "    def __init__(self, value):\n",
-    "        self.val = value\n",
-    "        self.next = None\n",
-    "    pass"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "# Create a Singly Linked List here"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Test Your Solution\n",
-    "\n",
-    "Note that there is no test for this solution (because it would give away the answer structure).\n",
-    "\n",
-    "Check out the Implement a Linked List Solution Notebook for the answer to this interview problem, as well as the answer for the implementation of a doubly linked list."
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.6.2"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 1
-}
diff --git a/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems  - PRACTICE/.ipynb_checkpoints/Linked List Nth to Last Node -checkpoint.ipynb b/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems  - PRACTICE/.ipynb_checkpoints/Linked List Nth to Last Node -checkpoint.ipynb
deleted file mode 100644
index 83d1468a..00000000
--- a/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems  - PRACTICE/.ipynb_checkpoints/Linked List Nth to Last Node -checkpoint.ipynb	
+++ /dev/null
@@ -1,192 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Linked List Nth to Last Node \n",
-    "\n",
-    "## Problem Statement\n",
-    "Write a function that takes a head node and an integer value **n** and then returns the nth to last node in the linked list. For example, given:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "class Node:\n",
-    "\n",
-    "    def __init__(self, value):\n",
-    "        self.value = value\n",
-    "        self.nextnode  = None"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "**Example Input and Output:**"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "a = Node(1)\n",
-    "b = Node(2)\n",
-    "c = Node(3)\n",
-    "d = Node(4)\n",
-    "e = Node(5)\n",
-    "\n",
-    "a.nextnode = b\n",
-    "b.nextnode = c\n",
-    "c.nextnode = d\n",
-    "d.nextnode = e\n",
-    "\n",
-    "# This would return the node d with a value of 4, because its the 2nd to last node.\n",
-    "target_node = nth_to_last_node(2, a) "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "4"
-      ]
-     },
-     "execution_count": 6,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "target_node.value"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Solution\n",
-    "Fill out your solution below:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def nth_to_last_node(n, head):\n",
-    "    slow, fast = head, head\n",
-    "    while n > 0 and fast:\n",
-    "        fast=fast.nextnode\n",
-    "        n-=1\n",
-    "    if not fast:\n",
-    "        return head\n",
-    "    while fast:\n",
-    "        fast=fast.nextnode\n",
-    "        slow=slow.nextnode\n",
-    "    return slow\n",
-    "    pass"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Test Your Solution"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 8,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "ALL TEST CASES PASSED\n"
-     ]
-    }
-   ],
-   "source": [
-    "\"\"\"\n",
-    "RUN THIS CELL TO TEST YOUR SOLUTION AGAINST A TEST CASE \n",
-    "\n",
-    "PLEASE NOTE THIS IS JUST ONE CASE\n",
-    "\"\"\"\n",
-    "\n",
-    "from nose.tools import assert_equal\n",
-    "\n",
-    "a = Node(1)\n",
-    "b = Node(2)\n",
-    "c = Node(3)\n",
-    "d = Node(4)\n",
-    "e = Node(5)\n",
-    "\n",
-    "a.nextnode = b\n",
-    "b.nextnode = c\n",
-    "c.nextnode = d\n",
-    "d.nextnode = e\n",
-    "\n",
-    "####\n",
-    "\n",
-    "class TestNLast(object):\n",
-    "    \n",
-    "    def test(self,sol):\n",
-    "        \n",
-    "        assert_equal(sol(2,a),d)\n",
-    "        print ('ALL TEST CASES PASSED')\n",
-    "        \n",
-    "# Run tests\n",
-    "t = TestNLast()\n",
-    "t.test(nth_to_last_node)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Good Job!"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.6.2"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 1
-}
diff --git a/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems  - PRACTICE/.ipynb_checkpoints/Linked List Reversal -checkpoint.ipynb b/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems  - PRACTICE/.ipynb_checkpoints/Linked List Reversal -checkpoint.ipynb
deleted file mode 100644
index d6d333eb..00000000
--- a/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems  - PRACTICE/.ipynb_checkpoints/Linked List Reversal -checkpoint.ipynb	
+++ /dev/null
@@ -1,244 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Linked List Reversal \n",
-    "\n",
-    "## Problem\n",
-    "\n",
-    "Write a function to reverse a Linked List in place. The function will take in the head of the list as input and return the new head of the list.\n",
-    "\n",
-    "You are given the example Linked List Node class:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 10,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "class Node(object):\n",
-    "    \n",
-    "    def __init__(self,value):\n",
-    "        \n",
-    "        self.value = value\n",
-    "        self.nextnode = None"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Solution\n",
-    "\n",
-    "Fill out your solution below:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 14,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "def reverse(head):\n",
-    "    \n",
-    "    pass"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Test Your Solution\n",
-    "\n",
-    "**Note, this isn't a classic run cell for testing your solution, please read the statements below carefully**\n",
-    "\n",
-    "You should be able to easily test your own solution to make sure it works. Given the short list a,b,c,d with values 1,2,3,4. Check the effect of your reverse function and make sure the results match the logic here below:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 43,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "# Create a list of 4 nodes\n",
-    "a = Node(1)\n",
-    "b = Node(2)\n",
-    "c = Node(3)\n",
-    "d = Node(4)\n",
-    "\n",
-    "# Set up order a,b,c,d with values 1,2,3,4\n",
-    "a.nextnode = b\n",
-    "b.nextnode = c\n",
-    "c.nextnode = d"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Now let's check the values of the nodes coming after a, b and c:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 44,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "2\n",
-      "3\n",
-      "4\n"
-     ]
-    }
-   ],
-   "source": [
-    "print a.nextnode.value\n",
-    "print b.nextnode.value\n",
-    "print c.nextnode.value"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 45,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "ename": "AttributeError",
-     "evalue": "'NoneType' object has no attribute 'value'",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
-      "\u001b[0;32m<ipython-input-45-be675f4ae643>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0md\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mnextnode\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mvalue\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
-      "\u001b[0;31mAttributeError\u001b[0m: 'NoneType' object has no attribute 'value'"
-     ]
-    }
-   ],
-   "source": [
-    "d.nextnode.value"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "So far so good. Note how there is no value proceeding the last node, this makes sense! Now let's reverse the linked list, we should see the opposite order of values!"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 46,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<__main__.Node at 0x104bd7dd0>"
-      ]
-     },
-     "execution_count": 46,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "reverse(a)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 49,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3\n",
-      "2\n",
-      "1\n"
-     ]
-    }
-   ],
-   "source": [
-    "print d.nextnode.value\n",
-    "print c.nextnode.value\n",
-    "print b.nextnode.value"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 50,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "ename": "AttributeError",
-     "evalue": "'NoneType' object has no attribute 'value'",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
-      "\u001b[0;32m<ipython-input-50-4057c9bc3c14>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0;32mprint\u001b[0m \u001b[0ma\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mnextnode\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mvalue\u001b[0m \u001b[0;31m# This will give an error since it now points to None\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
-      "\u001b[0;31mAttributeError\u001b[0m: 'NoneType' object has no attribute 'value'"
-     ]
-    }
-   ],
-   "source": [
-    "print a.nextnode.value # This will give an error since it now points to None"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Great, now we can see that each of the values points to its previous value (although now that the linked list is reversed we can see the ordering has also reversed)\n",
-    "\n",
-    "## Good Job!"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 2",
-   "language": "python",
-   "name": "python2"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 2
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.11"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 0
-}
diff --git a/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems  - PRACTICE/.ipynb_checkpoints/Singly Linked List Cycle Check-checkpoint.ipynb b/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems  - PRACTICE/.ipynb_checkpoints/Singly Linked List Cycle Check-checkpoint.ipynb
deleted file mode 100644
index 157dd789..00000000
--- a/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems  - PRACTICE/.ipynb_checkpoints/Singly Linked List Cycle Check-checkpoint.ipynb	
+++ /dev/null
@@ -1,149 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Singly Linked List Cycle Check \n",
-    "\n",
-    "## Problem\n",
-    "\n",
-    "Given a singly linked list, write a function which takes in the first node in a singly linked list and returns a boolean indicating if the linked list contains a \"cycle\".\n",
-    "\n",
-    "A cycle is when a node's next point actually points back to a previous node in the list. This is also sometimes known as a circularly linked list.\n",
-    "\n",
-    "You've been given the Linked List Node class code:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 8,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "class Node(object):\n",
-    "    \n",
-    "    def __init__(self,value):\n",
-    "        \n",
-    "        self.value = value\n",
-    "        self.nextnode = None"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Solution\n",
-    "\n",
-    "Fill out your solution:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def cycle_check(node):\n",
-    "#     Use fast and slow pointer\n",
-    "    fast, slow = node, node\n",
-    "    while fast and fast.nextnode:\n",
-    "        fast = fast.nextnode\n",
-    "        if fast == slow:\n",
-    "            return True\n",
-    "        fast = fast.nextnode\n",
-    "        slow = slow.nextnode\n",
-    "    return False\n",
-    "    pass #Your function should return a boolean"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Test Your Solution"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 9,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "ALL TEST CASES PASSED\n"
-     ]
-    }
-   ],
-   "source": [
-    "\"\"\"\n",
-    "RUN THIS CELL TO TEST YOUR SOLUTION\n",
-    "\"\"\"\n",
-    "from nose.tools import assert_equal\n",
-    "\n",
-    "# CREATE CYCLE LIST\n",
-    "a = Node(1)\n",
-    "b = Node(2)\n",
-    "c = Node(3)\n",
-    "\n",
-    "a.nextnode = b\n",
-    "b.nextnode = c\n",
-    "c.nextnode = a # Cycle Here!\n",
-    "\n",
-    "\n",
-    "# CREATE NON CYCLE LIST\n",
-    "x = Node(1)\n",
-    "y = Node(2)\n",
-    "z = Node(3)\n",
-    "\n",
-    "x.nextnode = y\n",
-    "y.nextnode = z\n",
-    "\n",
-    "\n",
-    "#############\n",
-    "class TestCycleCheck(object):\n",
-    "    \n",
-    "    def test(self,sol):\n",
-    "        assert_equal(sol(a),True)\n",
-    "        assert_equal(sol(x),False)\n",
-    "        \n",
-    "        print (\"ALL TEST CASES PASSED\")\n",
-    "        \n",
-    "# Run Tests\n",
-    "\n",
-    "t = TestCycleCheck()\n",
-    "t.test(cycle_check)\n"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Good Job!"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.6.2"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 1
-}
diff --git a/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems  - PRACTICE/01-Singly Linked List Cycle Check.ipynb b/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems  - PRACTICE/01-Singly Linked List Cycle Check.ipynb
deleted file mode 100644
index 210aebea..00000000
--- a/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems  - PRACTICE/01-Singly Linked List Cycle Check.ipynb	
+++ /dev/null
@@ -1,149 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Singly Linked List Cycle Check \n",
-    "\n",
-    "## Problem\n",
-    "\n",
-    "Given a singly linked list, write a function which takes in the first node in a singly linked list and returns a boolean indicating if the linked list contains a \"cycle\".\n",
-    "\n",
-    "A cycle is when a node's next point actually points back to a previous node in the list. This is also sometimes known as a circularly linked list.\n",
-    "\n",
-    "You've been given the Linked List Node class code:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "class Node(object):\n",
-    "    \n",
-    "    def __init__(self,value):\n",
-    "        \n",
-    "        self.value = value\n",
-    "        self.nextnode = None"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Solution\n",
-    "\n",
-    "Fill out your solution:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def cycle_check(node):\n",
-    "#     Use fast and slow pointer\n",
-    "    fast, slow = node, node\n",
-    "    while fast and fast.nextnode:\n",
-    "        fast = fast.nextnode\n",
-    "        if fast == slow:\n",
-    "            return True\n",
-    "        fast = fast.nextnode\n",
-    "        slow = slow.nextnode\n",
-    "    return False\n",
-    "    pass #Your function should return a boolean"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Test Your Solution"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "ALL TEST CASES PASSED\n"
-     ]
-    }
-   ],
-   "source": [
-    "\"\"\"\n",
-    "RUN THIS CELL TO TEST YOUR SOLUTION\n",
-    "\"\"\"\n",
-    "from nose.tools import assert_equal\n",
-    "\n",
-    "# CREATE CYCLE LIST\n",
-    "a = Node(1)\n",
-    "b = Node(2)\n",
-    "c = Node(3)\n",
-    "\n",
-    "a.nextnode = b\n",
-    "b.nextnode = c\n",
-    "c.nextnode = a # Cycle Here!\n",
-    "\n",
-    "\n",
-    "# CREATE NON CYCLE LIST\n",
-    "x = Node(1)\n",
-    "y = Node(2)\n",
-    "z = Node(3)\n",
-    "\n",
-    "x.nextnode = y\n",
-    "y.nextnode = z\n",
-    "\n",
-    "\n",
-    "#############\n",
-    "class TestCycleCheck(object):\n",
-    "    \n",
-    "    def test(self,sol):\n",
-    "        assert_equal(sol(a),True)\n",
-    "        assert_equal(sol(x),False)\n",
-    "        \n",
-    "        print (\"ALL TEST CASES PASSED\")\n",
-    "        \n",
-    "# Run Tests\n",
-    "\n",
-    "t = TestCycleCheck()\n",
-    "t.test(cycle_check)\n"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Good Job!"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.8.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 1
-}
diff --git a/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems  - PRACTICE/02-Linked List Reversal .ipynb b/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems  - PRACTICE/02-Linked List Reversal .ipynb
deleted file mode 100644
index 132acf4f..00000000
--- a/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems  - PRACTICE/02-Linked List Reversal .ipynb	
+++ /dev/null
@@ -1,194 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Linked List Reversal \n",
-    "\n",
-    "## Problem\n",
-    "\n",
-    "Write a function to reverse a Linked List in place. The function will take in the head of the list as input and return the new head of the list.\n",
-    "\n",
-    "You are given the example Linked List Node class:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "class Node(object):\n",
-    "    \n",
-    "    def __init__(self,value):\n",
-    "        \n",
-    "        self.value = value\n",
-    "        self.nextnode = None"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Solution\n",
-    "\n",
-    "Fill out your solution below:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def reverse(head):\n",
-    "    cur = head\n",
-    "    pre, nxt = None, None\n",
-    "    while cur:# watch out\n",
-    "        nxt = cur.nextnode\n",
-    "        cur.nextnode = pre\n",
-    "        pre = cur\n",
-    "        cur = nxt\n",
-    "    return pre #watch out\n",
-    "    pass"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Test Your Solution\n",
-    "\n",
-    "**Note, this isn't a classic run cell for testing your solution, please read the statements below carefully**\n",
-    "\n",
-    "You should be able to easily test your own solution to make sure it works. Given the short list a,b,c,d with values 1,2,3,4. Check the effect of your reverse function and make sure the results match the logic here below:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Create a list of 4 nodes\n",
-    "a = Node(1)\n",
-    "b = Node(2)\n",
-    "c = Node(3)\n",
-    "d = Node(4)\n",
-    "\n",
-    "# Set up order a,b,c,d with values 1,2,3,4\n",
-    "a.nextnode = b\n",
-    "b.nextnode = c\n",
-    "c.nextnode = d"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Now let's check the values of the nodes coming after a, b and c:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "print (a.nextnode.value)\n",
-    "print (b.nextnode.value)\n",
-    "print (c.nextnode.value)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "d.nextnode.value"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "So far so good. Note how there is no value proceeding the last node, this makes sense! Now let's reverse the linked list, we should see the opposite order of values!"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "reverse(a)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "print (d.nextnode.value)\n",
-    "print (c.nextnode.value)\n",
-    "print (b.nextnode.value)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "print(a.nextnode.value) # This will give an error since it now points to None"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Great, now we can see that each of the values points to its previous value (although now that the linked list is reversed we can see the ordering has also reversed)\n",
-    "\n",
-    "## Good Job!"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.8.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 1
-}
diff --git a/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems  - PRACTICE/03-Linked List Nth to Last Node .ipynb b/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems  - PRACTICE/03-Linked List Nth to Last Node .ipynb
deleted file mode 100644
index c115a4b9..00000000
--- a/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems  - PRACTICE/03-Linked List Nth to Last Node .ipynb	
+++ /dev/null
@@ -1,173 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Linked List Nth to Last Node \n",
-    "\n",
-    "## Problem Statement\n",
-    "Write a function that takes a head node and an integer value **n** and then returns the nth to last node in the linked list. For example, given:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "class Node:\n",
-    "\n",
-    "    def __init__(self, value):\n",
-    "        self.value = value\n",
-    "        self.nextnode  = None"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "**Example Input and Output:**"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "a = Node(1)\n",
-    "b = Node(2)\n",
-    "c = Node(3)\n",
-    "d = Node(4)\n",
-    "e = Node(5)\n",
-    "\n",
-    "a.nextnode = b\n",
-    "b.nextnode = c\n",
-    "c.nextnode = d\n",
-    "d.nextnode = e\n",
-    "\n",
-    "# This would return the node d with a value of 4, because its the 2nd to last node.\n",
-    "target_node = nth_to_last_node(2, a) "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "target_node.value"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Solution\n",
-    "Fill out your solution below:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def nth_to_last_node(n, head):\n",
-    "    slow, fast = head, head\n",
-    "    while n > 0 and fast:\n",
-    "        fast=fast.nextnode\n",
-    "        n-=1\n",
-    "    if not fast:\n",
-    "        return head\n",
-    "    while fast:\n",
-    "        fast=fast.nextnode\n",
-    "        slow=slow.nextnode\n",
-    "    return slow\n",
-    "    pass"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Test Your Solution"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "\"\"\"\n",
-    "RUN THIS CELL TO TEST YOUR SOLUTION AGAINST A TEST CASE \n",
-    "\n",
-    "PLEASE NOTE THIS IS JUST ONE CASE\n",
-    "\"\"\"\n",
-    "\n",
-    "from nose.tools import assert_equal\n",
-    "\n",
-    "a = Node(1)\n",
-    "b = Node(2)\n",
-    "c = Node(3)\n",
-    "d = Node(4)\n",
-    "e = Node(5)\n",
-    "\n",
-    "a.nextnode = b\n",
-    "b.nextnode = c\n",
-    "c.nextnode = d\n",
-    "d.nextnode = e\n",
-    "\n",
-    "####\n",
-    "\n",
-    "class TestNLast(object):\n",
-    "    \n",
-    "    def test(self,sol):\n",
-    "        \n",
-    "        assert_equal(sol(2,a),d)\n",
-    "        print ('ALL TEST CASES PASSED')\n",
-    "        \n",
-    "# Run tests\n",
-    "t = TestNLast()\n",
-    "t.test(nth_to_last_node)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Good Job!"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.8.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 1
-}
diff --git a/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems  - PRACTICE/04-Implement a Doubly Linked List.ipynb b/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems  - PRACTICE/04-Implement a Doubly Linked List.ipynb
deleted file mode 100644
index 4b403bda..00000000
--- a/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems  - PRACTICE/04-Implement a Doubly Linked List.ipynb	
+++ /dev/null
@@ -1,69 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Implement a Doubly Linked List\n",
-    "\n",
-    "For this interview problem, implement a node class and show how it can be used to create a doubly linked list."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "class Node(object):\n",
-    "    def __init__(self, value):\n",
-    "        self.prev = None\n",
-    "        self.val = value\n",
-    "        self.next = None\n",
-    "    pass"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "# Create a Doubly Linked List here"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Test Your Solution\n",
-    "Note that there is no test for this solution (because it would give away the answer structure).\n",
-    "\n",
-    "Check out the Implement a Linked List Solution Notebook for the answer to this interview problem, as well as the answer for the implementation of a singly linked list."
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.8.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 1
-}
diff --git a/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems  - PRACTICE/04-Implement a Singly Linked List.ipynb b/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems  - PRACTICE/04-Implement a Singly Linked List.ipynb
deleted file mode 100644
index 5fc0825a..00000000
--- a/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems  - PRACTICE/04-Implement a Singly Linked List.ipynb	
+++ /dev/null
@@ -1,69 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Implement a Singly Linked List\n",
-    "\n",
-    "For this interview problem, create a node class and show how it can be used to create a Singly Linked List"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "class Node(object):\n",
-    "    def __init__(self, value):\n",
-    "        self.val = value\n",
-    "        self.next = None\n",
-    "    pass"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "# Create a Singly Linked List here"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Test Your Solution\n",
-    "\n",
-    "Note that there is no test for this solution (because it would give away the answer structure).\n",
-    "\n",
-    "Check out the Implement a Linked List Solution Notebook for the answer to this interview problem, as well as the answer for the implementation of a doubly linked list."
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.8.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 1
-}
diff --git a/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems - SOLUTIONS/.ipynb_checkpoints/01-Singly Linked List Cycle Check - SOLUTION-checkpoint.ipynb b/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems - SOLUTIONS/.ipynb_checkpoints/01-Singly Linked List Cycle Check - SOLUTION-checkpoint.ipynb
deleted file mode 100644
index 7c614eea..00000000
--- a/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems - SOLUTIONS/.ipynb_checkpoints/01-Singly Linked List Cycle Check - SOLUTION-checkpoint.ipynb	
+++ /dev/null
@@ -1,163 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Singly Linked List Cycle Check - SOLUTION\n",
-    "\n",
-    "## Problem\n",
-    "\n",
-    "Given a singly linked list, write a function which takes in the first node in a singly linked list and returns a boolean indicating if the linked list contains a \"cycle\".\n",
-    "\n",
-    "A cycle is when a node's next point actually points back to a previous node in the list. This is also sometimes known as a circularly linked list.\n",
-    "\n",
-    "You've been given the Linked List Node class code:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "class Node(object):\n",
-    "    \n",
-    "    def __init__(self,value):\n",
-    "        \n",
-    "        self.value = value\n",
-    "        self.nextnode = None"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Solution\n",
-    "\n",
-    "To solve this problem we will have two markers traversing through the list. **marker1** and **marker2**. We will have both makers begin at the first node of the list and traverse through the linked list. However the second marker, marker2, will move two nodes ahead for every one node that marker1 moves.\n",
-    "\n",
-    "By this logic we can imagine that the markers are \"racing\" through the linked list, with marker2 moving faster. If the linked list has a cylce and is circularly connected we will have the analogy of a track, in this case the marker2 will eventually be \"lapping\" the marker1 and they will equal each other. \n",
-    "\n",
-    "If the linked list has no cycle, then marker2 should be able to continue on until the very end, never equaling the first marker.\n",
-    "\n",
-    "Let's see this logic coded out:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def cycle_check(node):\n",
-    "\n",
-    "    # Begin both markers at the first node\n",
-    "    marker1 = node\n",
-    "    marker2 = node\n",
-    "\n",
-    "    # Go until end of list\n",
-    "    while marker2 != None and marker2.nextnode != None:\n",
-    "        \n",
-    "        # Note\n",
-    "        marker1 = marker1.nextnode\n",
-    "        marker2 = marker2.nextnode.nextnode\n",
-    "\n",
-    "        # Check if the markers have matched\n",
-    "        if marker2 == marker1:\n",
-    "            return True\n",
-    "\n",
-    "    # Case where marker ahead reaches the end of the list\n",
-    "    return False"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Test Your Solution"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "ALL TEST CASES PASSED\n"
-     ]
-    }
-   ],
-   "source": [
-    "\"\"\"\n",
-    "RUN THIS CELL TO TEST YOUR SOLUTION\n",
-    "\"\"\"\n",
-    "from nose.tools import assert_equal\n",
-    "\n",
-    "# CREATE CYCLE LIST\n",
-    "a = Node(1)\n",
-    "b = Node(2)\n",
-    "c = Node(3)\n",
-    "\n",
-    "a.nextnode = b\n",
-    "b.nextnode = c\n",
-    "c.nextnode = a # Cycle Here!\n",
-    "\n",
-    "\n",
-    "# CREATE NON CYCLE LIST\n",
-    "x = Node(1)\n",
-    "y = Node(2)\n",
-    "z = Node(3)\n",
-    "\n",
-    "x.nextnode = y\n",
-    "y.nextnode = z\n",
-    "\n",
-    "\n",
-    "#############\n",
-    "class TestCycleCheck(object):\n",
-    "    \n",
-    "    def test(self,sol):\n",
-    "        assert_equal(sol(a),True)\n",
-    "        assert_equal(sol(x),False)\n",
-    "        \n",
-    "        print(\"ALL TEST CASES PASSED\")\n",
-    "        \n",
-    "# Run Tests\n",
-    "\n",
-    "t = TestCycleCheck()\n",
-    "t.test(cycle_check)\n"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Good Job!"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.8.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 1
-}
diff --git a/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems - SOLUTIONS/.ipynb_checkpoints/02-Linked List Reversal - SOLUTION-checkpoint.ipynb b/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems - SOLUTIONS/.ipynb_checkpoints/02-Linked List Reversal - SOLUTION-checkpoint.ipynb
deleted file mode 100644
index f534503f..00000000
--- a/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems - SOLUTIONS/.ipynb_checkpoints/02-Linked List Reversal - SOLUTION-checkpoint.ipynb	
+++ /dev/null
@@ -1,251 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Linked List Reversal - SOLUTION\n",
-    "\n",
-    "## Problem\n",
-    "\n",
-    "Write a function to reverse a Linked List in place. The function will take in the head of the list as input and return the new head of the list.\n",
-    "\n",
-    "You are given the example Linked List Node class:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "class Node(object):\n",
-    "    \n",
-    "    def __init__(self,value):\n",
-    "        \n",
-    "        self.value = value\n",
-    "        self.nextnode = None"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Solution\n",
-    "\n",
-    "Since we want to do this in place we want to make the funciton operate in O(1) space, meaning we don't want to create a new list, so we will simply use the current nodes! Time wise, we can perform the reversal in O(n) time.\n",
-    "\n",
-    "We can reverse the list by changing the next pointer of each node. Each node's next pointer should point to the previous node.\n",
-    "\n",
-    "In one pass from head to tail of our input list, we will point each node's next pointer to the previous element.\n",
-    "\n",
-    "Make sure to copy current.next_node into next_node **before** setting current.next_node to previous. Let's see this solution coded out:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def reverse(head):\n",
-    "    \n",
-    "    # Set up current,previous, and next nodes\n",
-    "    current = head\n",
-    "    previous = None\n",
-    "    nextnode = None\n",
-    "\n",
-    "    # until we have gone through to the end of the list\n",
-    "    while current:\n",
-    "        \n",
-    "        # Make sure to copy the current nodes next node to a variable next_node\n",
-    "        # Before overwriting as the previous node for reversal\n",
-    "        nextnode = current.nextnode\n",
-    "\n",
-    "        # Reverse the pointer ot the next_node\n",
-    "        current.nextnode = previous\n",
-    "\n",
-    "        # Go one forward in the list\n",
-    "        previous = current\n",
-    "        current = nextnode\n",
-    "\n",
-    "    return previous"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Test Your Solution\n",
-    "\n",
-    "You should be able to easily test your own solution to make sure it works. Given the short list a,b,c,d with values 1,2,3,4. Check the effect of your reverse function and maek sure the results match the logic here below:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Create a list of 4 nodes\n",
-    "a = Node(1)\n",
-    "b = Node(2)\n",
-    "c = Node(3)\n",
-    "d = Node(4)\n",
-    "\n",
-    "# Set up order a,b,c,d with values 1,2,3,4\n",
-    "a.nextnode = b\n",
-    "b.nextnode = c\n",
-    "c.nextnode = d"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Now let's check the values of the nodes coming after a, b and c:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "2\n",
-      "3\n",
-      "4\n"
-     ]
-    }
-   ],
-   "source": [
-    "print(a.nextnode.value)\n",
-    "print(b.nextnode.value)\n",
-    "print(c.nextnode.value)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {},
-   "outputs": [
-    {
-     "ename": "AttributeError",
-     "evalue": "'NoneType' object has no attribute 'value'",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
-      "\u001b[0;32m<ipython-input-5-9ee2d814a788>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0md\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mnextnode\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mvalue\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
-      "\u001b[0;31mAttributeError\u001b[0m: 'NoneType' object has no attribute 'value'"
-     ]
-    }
-   ],
-   "source": [
-    "d.nextnode.value"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "So far so good. Note how there is no value proceeding the last node, this makes sense! Now let's reverse the linked list, we should see the opposite order of values!"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<__main__.Node at 0x7f4e3414f730>"
-      ]
-     },
-     "execution_count": 6,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "reverse(a)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3\n",
-      "2\n",
-      "1\n"
-     ]
-    }
-   ],
-   "source": [
-    "print(d.nextnode.value)\n",
-    "print(c.nextnode.value)\n",
-    "print(b.nextnode.value)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 8,
-   "metadata": {},
-   "outputs": [
-    {
-     "ename": "AttributeError",
-     "evalue": "'NoneType' object has no attribute 'value'",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
-      "\u001b[0;32m<ipython-input-8-14ba01ce8725>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0ma\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mnextnode\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mvalue\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;31m# This will give an error since it now points to None\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
-      "\u001b[0;31mAttributeError\u001b[0m: 'NoneType' object has no attribute 'value'"
-     ]
-    }
-   ],
-   "source": [
-    "print(a.nextnode.value) # This will give an error since it now points to None"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Great, now we can see that each of the values points to its previous value (although now that the linked list is reversed we can see the ordering has also reversed)\n",
-    "\n",
-    "## Good Job!"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.8.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 1
-}
diff --git a/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems - SOLUTIONS/.ipynb_checkpoints/03-Linked List Nth to Last Node - SOLUTION-checkpoint.ipynb b/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems - SOLUTIONS/.ipynb_checkpoints/03-Linked List Nth to Last Node - SOLUTION-checkpoint.ipynb
deleted file mode 100644
index 83704c6c..00000000
--- a/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems - SOLUTIONS/.ipynb_checkpoints/03-Linked List Nth to Last Node - SOLUTION-checkpoint.ipynb	
+++ /dev/null
@@ -1,213 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Linked List Nth to Last Node - SOLUTION\n",
-    "\n",
-    "## Problem Statement\n",
-    "Write a function that takes a head node and an integer value **n** and then returns the nth to last node in the linked list. For example, given:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "class Node:\n",
-    "\n",
-    "    def __init__(self, value):\n",
-    "        self.value = value\n",
-    "        self.nextnode  = None"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {},
-   "outputs": [
-    {
-     "ename": "NameError",
-     "evalue": "name 'nth_to_last_node' is not defined",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
-      "\u001b[0;32m<ipython-input-5-a1e2bc5209c8>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m     11\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     12\u001b[0m \u001b[0;31m# This would return the node d with a value of 4, because its the 2nd to last node.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 13\u001b[0;31m \u001b[0mtarget_node\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnth_to_last_node\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m2\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0ma\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
-      "\u001b[0;31mNameError\u001b[0m: name 'nth_to_last_node' is not defined"
-     ]
-    }
-   ],
-   "source": [
-    "a = Node(1)\n",
-    "b = Node(2)\n",
-    "c = Node(3)\n",
-    "d = Node(4)\n",
-    "e = Node(5)\n",
-    "\n",
-    "a.nextnode = b\n",
-    "b.nextnode = c\n",
-    "c.nextnode = d\n",
-    "d.nextnode = e\n",
-    "\n",
-    "# This would return the node d with a value of 4, because its the 2nd to last node.\n",
-    "target_node = nth_to_last_node(2, a) "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "metadata": {},
-   "outputs": [
-    {
-     "ename": "NameError",
-     "evalue": "name 'target_node' is not defined",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
-      "\u001b[0;32m<ipython-input-6-867ea52f7d5a>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mtarget_node\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mvalue\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
-      "\u001b[0;31mNameError\u001b[0m: name 'target_node' is not defined"
-     ]
-    }
-   ],
-   "source": [
-    "target_node.value"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Solution\n",
-    "\n",
-    "One approach to this problem is this:\n",
-    "\n",
-    "Imagine you have a bunch of nodes and a \"block\" which is n-nodes wide. We could walk this \"block\" all the way down the list, and once the front of the block reached the end, then the other end of the block would be a the Nth node!  \n",
-    "\n",
-    "So to implement this \"block\" we would just have two pointers a left and right pair of pointers. Let's mark out the steps we will need to take:\n",
-    "\n",
-    "* Walk one pointer **n** nodes from the head, this will be the right_point\n",
-    "* Put the other pointer at the head, this will be the left_point\n",
-    "* Walk/traverse the block (both pointers) towards the tail, one node at a time, keeping a distance **n** between them.\n",
-    "* Once the right_point has hit the tail, we know that the left point is at the target.\n",
-    "\n",
-    "Let's see the code for this!"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 9,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def nth_to_last_node(n, head):\n",
-    "\n",
-    "    left_pointer  = head\n",
-    "    right_pointer = head\n",
-    "\n",
-    "    # Set right pointer at n nodes away from head\n",
-    "    for i in range(n-1):\n",
-    "        \n",
-    "        # Check for edge case of not having enough nodes!\n",
-    "        if not right_pointer.nextnode:\n",
-    "            raise LookupError('Error: n is larger than the linked list.')\n",
-    "\n",
-    "        # Otherwise, we can set the block\n",
-    "        right_pointer = right_pointer.nextnode\n",
-    "\n",
-    "    # Move the block down the linked list\n",
-    "    while right_pointer.nextnode:\n",
-    "        left_pointer  = left_pointer.nextnode\n",
-    "        right_pointer = right_pointer.nextnode\n",
-    "\n",
-    "    # Now return left pointer, its at the nth to last element!\n",
-    "    return left_pointer"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Test Your Solution"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 10,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "ALL TEST CASES PASSED\n"
-     ]
-    }
-   ],
-   "source": [
-    "\"\"\"\n",
-    "RUN THIS CELL TO TEST YOUR SOLUTION AGAINST A TEST CASE \n",
-    "\n",
-    "PLEASE NOTE THIS IS JUST ONE CASE\n",
-    "\"\"\"\n",
-    "\n",
-    "from nose.tools import assert_equal\n",
-    "\n",
-    "a = Node(1)\n",
-    "b = Node(2)\n",
-    "c = Node(3)\n",
-    "d = Node(4)\n",
-    "e = Node(5)\n",
-    "\n",
-    "a.nextnode = b\n",
-    "b.nextnode = c\n",
-    "c.nextnode = d\n",
-    "d.nextnode = e\n",
-    "\n",
-    "####\n",
-    "\n",
-    "class TestNLast(object):\n",
-    "    \n",
-    "    def test(self,sol):\n",
-    "        \n",
-    "        assert_equal(sol(2,a),d)\n",
-    "        print('ALL TEST CASES PASSED')\n",
-    "        \n",
-    "# Run tests\n",
-    "t = TestNLast()\n",
-    "t.test(nth_to_last_node)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Good Job!"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.8.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 1
-}
diff --git a/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems - SOLUTIONS/.ipynb_checkpoints/04-Implement a Linked List -SOLUTION-checkpoint.ipynb b/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems - SOLUTIONS/.ipynb_checkpoints/04-Implement a Linked List -SOLUTION-checkpoint.ipynb
deleted file mode 100644
index b357a10e..00000000
--- a/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems - SOLUTIONS/.ipynb_checkpoints/04-Implement a Linked List -SOLUTION-checkpoint.ipynb	
+++ /dev/null
@@ -1,144 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Implement a Linked List - SOLUTION\n",
-    "\n",
-    "## Problem Statement\n",
-    "\n",
-    "Implement a Linked List by using a Node class object. Show how you would implement a Singly Linked List *and* a Doubly Linked List!\n",
-    "\n",
-    "## Solution\n",
-    "\n",
-    "Since this is asking the same thing as the implementation lectures, please refer to those video lectures and notes for a full explanation. The code from those lectures is displayed below:"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Singly Linked List"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "class LinkedListNode(object):\n",
-    "    \n",
-    "    def __init__(self,value):\n",
-    "        \n",
-    "        self.value = value\n",
-    "        self.nextnode = None"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "a = LinkedListNode(1)\n",
-    "b = LinkedListNode(2)\n",
-    "c = LinkedListNode(3)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "a.nextnode = b\n",
-    "b.nextnode = c"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Doubly Linked List"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "class DoublyLinkedListNode(object):\n",
-    "    \n",
-    "    def __init__(self,value):\n",
-    "        \n",
-    "        self.value = value\n",
-    "        self.next_node = None\n",
-    "        self.prev_node = None"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "a = DoublyLinkedListNode(1)\n",
-    "b = DoublyLinkedListNode(2)\n",
-    "c = DoublyLinkedListNode(3)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Setting b after a\n",
-    "b.prev_node = a\n",
-    "a.next_node = b"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Setting c after a\n",
-    "b.next_node = c\n",
-    "c.prev_node = b"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Good Job!"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.8.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 1
-}
diff --git a/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems - SOLUTIONS/.ipynb_checkpoints/Implement a Linked List -SOLUTION-checkpoint.ipynb b/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems - SOLUTIONS/.ipynb_checkpoints/Implement a Linked List -SOLUTION-checkpoint.ipynb
deleted file mode 100644
index 303ba52f..00000000
--- a/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems - SOLUTIONS/.ipynb_checkpoints/Implement a Linked List -SOLUTION-checkpoint.ipynb	
+++ /dev/null
@@ -1,158 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Implement a Linked List - SOLUTION\n",
-    "\n",
-    "## Problem Statement\n",
-    "\n",
-    "Implement a Linked List by using a Node class object. Show how you would implement a Singly Linked List *and* a Doubly Linked List!\n",
-    "\n",
-    "## Solution\n",
-    "\n",
-    "Since this is asking the same thing as the implementation lectures, please refer to those video lectures and notes for a full explanation. The code from those lectures is displayed below:"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Singly Linked List"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "class LinkedListNode(object):\n",
-    "    \n",
-    "    def __init__(self,value):\n",
-    "        \n",
-    "        self.value = value\n",
-    "        self.nextnode = None"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "a = LinkedListNode(1)\n",
-    "b = LinkedListNode(2)\n",
-    "c = LinkedListNode(3)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "a.nextnode = b\n",
-    "b.nextnode = c"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Doubly Linked List"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "class DoublyLinkedListNode(object):\n",
-    "    \n",
-    "    def __init__(self,value):\n",
-    "        \n",
-    "        self.value = value\n",
-    "        self.next_node = None\n",
-    "        self.prev_node = None"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "a = DoublyLinkedListNode(1)\n",
-    "b = DoublyLinkedListNode(2)\n",
-    "c = DoublyLinkedListNode(3)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "# Setting b after a\n",
-    "b.prev_node = a\n",
-    "a.next_node = b"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "# Setting c after a\n",
-    "b.next_node = c\n",
-    "c.prev_node = b"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Good Job!"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 2",
-   "language": "python",
-   "name": "python2"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 2
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 0
-}
diff --git a/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems - SOLUTIONS/.ipynb_checkpoints/Linked List Nth to Last Node - SOLUTION-checkpoint.ipynb b/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems - SOLUTIONS/.ipynb_checkpoints/Linked List Nth to Last Node - SOLUTION-checkpoint.ipynb
deleted file mode 100644
index 457e6e48..00000000
--- a/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems - SOLUTIONS/.ipynb_checkpoints/Linked List Nth to Last Node - SOLUTION-checkpoint.ipynb	
+++ /dev/null
@@ -1,210 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Linked List Nth to Last Node - SOLUTION\n",
-    "\n",
-    "## Problem Statement\n",
-    "Write a function that takes a head node and an integer value **n** and then returns the nth to last node in the linked list. For example, given:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "class Node:\n",
-    "\n",
-    "    def __init__(self, value):\n",
-    "        self.value = value\n",
-    "        self.nextnode  = None"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [],
-   "source": [
-    "a = Node(1)\n",
-    "b = Node(2)\n",
-    "c = Node(3)\n",
-    "d = Node(4)\n",
-    "e = Node(5)\n",
-    "\n",
-    "a.nextnode = b\n",
-    "b.nextnode = c\n",
-    "c.nextnode = d\n",
-    "d.nextnode = e\n",
-    "\n",
-    "# This would return the node d with a value of 4, because its the 2nd to last node.\n",
-    "target_node = nth_to_last_node(2, a) "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "4"
-      ]
-     },
-     "execution_count": 7,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "target_node.value"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Solution\n",
-    "\n",
-    "One approach to this problem is this:\n",
-    "\n",
-    "Imagine you have a bunch of nodes and a \"block\" which is n-nodes wide. We could walk this \"block\" all the way down the list, and once the front of the block reached the end, then the other end of the block would be a the Nth node!  \n",
-    "\n",
-    "So to implement this \"block\" we would just have two pointers a left and right pair of pointers. Let's mark out the steps we will need to take:\n",
-    "\n",
-    "* Walk one pointer **n** nodes from the head, this will be the right_point\n",
-    "* Put the other pointer at the head, this will be the left_point\n",
-    "* Walk/traverse the block (both pointers) towards the tail, one node at a time, keeping a distance **n** between them.\n",
-    "* Once the right_point has hit the tail, we know that the left point is at the target.\n",
-    "\n",
-    "Let's see the code for this!"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "def nth_to_last_node(n, head):\n",
-    "\n",
-    "    left_pointer  = head\n",
-    "    right_pointer = head\n",
-    "\n",
-    "    # Set right pointer at n nodes away from head\n",
-    "    for i in xrange(n-1):\n",
-    "        \n",
-    "        # Check for edge case of not having enough nodes!\n",
-    "        if not right_pointer.nextnode:\n",
-    "            raise LookupError('Error: n is larger than the linked list.')\n",
-    "\n",
-    "        # Otherwise, we can set the block\n",
-    "        right_pointer = right_pointer.nextnode\n",
-    "\n",
-    "    # Move the block down the linked list\n",
-    "    while right_pointer.nextnode:\n",
-    "        left_pointer  = left_pointer.nextnode\n",
-    "        right_pointer = right_pointer.nextnode\n",
-    "\n",
-    "    # Now return left pointer, its at the nth to last element!\n",
-    "    return left_pointer"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Test Your Solution"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 9,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "ALL TEST CASES PASSED\n"
-     ]
-    }
-   ],
-   "source": [
-    "\"\"\"\n",
-    "RUN THIS CELL TO TEST YOUR SOLUTION AGAINST A TEST CASE \n",
-    "\n",
-    "PLEASE NOTE THIS IS JUST ONE CASE\n",
-    "\"\"\"\n",
-    "\n",
-    "from nose.tools import assert_equal\n",
-    "\n",
-    "a = Node(1)\n",
-    "b = Node(2)\n",
-    "c = Node(3)\n",
-    "d = Node(4)\n",
-    "e = Node(5)\n",
-    "\n",
-    "a.nextnode = b\n",
-    "b.nextnode = c\n",
-    "c.nextnode = d\n",
-    "d.nextnode = e\n",
-    "\n",
-    "####\n",
-    "\n",
-    "class TestNLast(object):\n",
-    "    \n",
-    "    def test(self,sol):\n",
-    "        \n",
-    "        assert_equal(sol(2,a),d)\n",
-    "        print 'ALL TEST CASES PASSED'\n",
-    "        \n",
-    "# Run tests\n",
-    "t = TestNLast()\n",
-    "t.test(nth_to_last_node)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Good Job!"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 2",
-   "language": "python",
-   "name": "python2"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 2
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 0
-}
diff --git a/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems - SOLUTIONS/.ipynb_checkpoints/Linked List Reversal - SOLUTION-checkpoint.ipynb b/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems - SOLUTIONS/.ipynb_checkpoints/Linked List Reversal - SOLUTION-checkpoint.ipynb
deleted file mode 100644
index 5ac84405..00000000
--- a/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems - SOLUTIONS/.ipynb_checkpoints/Linked List Reversal - SOLUTION-checkpoint.ipynb	
+++ /dev/null
@@ -1,267 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Linked List Reversal - SOLUTION\n",
-    "\n",
-    "## Problem\n",
-    "\n",
-    "Write a function to reverse a Linked List in place. The function will take in the head of the list as input and return the new head of the list.\n",
-    "\n",
-    "You are given the example Linked List Node class:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 10,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "class Node(object):\n",
-    "    \n",
-    "    def __init__(self,value):\n",
-    "        \n",
-    "        self.value = value\n",
-    "        self.nextnode = None"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Solution\n",
-    "\n",
-    "Since we want to do this in place we want to make the funciton operate in O(1) space, meaning we don't want to create a new list, so we will simply use the current nodes! Time wise, we can perform the reversal in O(n) time.\n",
-    "\n",
-    "We can reverse the list by changing the next pointer of each node. Each node's next pointer should point to the previous node.\n",
-    "\n",
-    "In one pass from head to tail of our input list, we will point each node's next pointer to the previous element.\n",
-    "\n",
-    "Make sure to copy current.next_node into next_node **before** setting current.next_node to previous. Let's see this solution coded out:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 14,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "def reverse(head):\n",
-    "    \n",
-    "    # Set up current,previous, and next nodes\n",
-    "    current = head\n",
-    "    previous = None\n",
-    "    nextnode = None\n",
-    "\n",
-    "    # until we have gone through to the end of the list\n",
-    "    while current:\n",
-    "        \n",
-    "        # Make sure to copy the current nodes next node to a variable next_node\n",
-    "        # Before overwriting as the previous node for reversal\n",
-    "        nextnode = current.nextnode\n",
-    "\n",
-    "        # Reverse the pointer ot the next_node\n",
-    "        current.nextnode = previous\n",
-    "\n",
-    "        # Go one forward in the list\n",
-    "        previous = current\n",
-    "        current = nextnode\n",
-    "\n",
-    "    return previous"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Test Your Solution\n",
-    "\n",
-    "You should be able to easily test your own solution to make sure it works. Given the short list a,b,c,d with values 1,2,3,4. Check the effect of your reverse function and maek sure the results match the logic here below:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 43,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "# Create a list of 4 nodes\n",
-    "a = Node(1)\n",
-    "b = Node(2)\n",
-    "c = Node(3)\n",
-    "d = Node(4)\n",
-    "\n",
-    "# Set up order a,b,c,d with values 1,2,3,4\n",
-    "a.nextnode = b\n",
-    "b.nextnode = c\n",
-    "c.nextnode = d"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Now let's check the values of the nodes coming after a, b and c:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 44,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "2\n",
-      "3\n",
-      "4\n"
-     ]
-    }
-   ],
-   "source": [
-    "print a.nextnode.value\n",
-    "print b.nextnode.value\n",
-    "print c.nextnode.value"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 45,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "ename": "AttributeError",
-     "evalue": "'NoneType' object has no attribute 'value'",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
-      "\u001b[0;32m<ipython-input-45-be675f4ae643>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0md\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mnextnode\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mvalue\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
-      "\u001b[0;31mAttributeError\u001b[0m: 'NoneType' object has no attribute 'value'"
-     ]
-    }
-   ],
-   "source": [
-    "d.nextnode.value"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "So far so good. Note how there is no value proceeding the last node, this makes sense! Now let's reverse the linked list, we should see the opposite order of values!"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 46,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<__main__.Node at 0x104bd7dd0>"
-      ]
-     },
-     "execution_count": 46,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "reverse(a)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 49,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3\n",
-      "2\n",
-      "1\n"
-     ]
-    }
-   ],
-   "source": [
-    "print d.nextnode.value\n",
-    "print c.nextnode.value\n",
-    "print b.nextnode.value"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 50,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "ename": "AttributeError",
-     "evalue": "'NoneType' object has no attribute 'value'",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
-      "\u001b[0;32m<ipython-input-50-4057c9bc3c14>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0;32mprint\u001b[0m \u001b[0ma\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mnextnode\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mvalue\u001b[0m \u001b[0;31m# This will give an error since it now points to None\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
-      "\u001b[0;31mAttributeError\u001b[0m: 'NoneType' object has no attribute 'value'"
-     ]
-    }
-   ],
-   "source": [
-    "print a.nextnode.value # This will give an error since it now points to None"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Great, now we can see that each of the values points to its previous value (although now that the linked list is reversed we can see the ordering has also reversed)\n",
-    "\n",
-    "## Good Job!"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 2",
-   "language": "python",
-   "name": "python2"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 2
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.11"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 0
-}
diff --git a/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems - SOLUTIONS/.ipynb_checkpoints/Singly Linked List Cycle Check - SOLUTION-checkpoint.ipynb b/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems - SOLUTIONS/.ipynb_checkpoints/Singly Linked List Cycle Check - SOLUTION-checkpoint.ipynb
deleted file mode 100644
index f0752ac6..00000000
--- a/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems - SOLUTIONS/.ipynb_checkpoints/Singly Linked List Cycle Check - SOLUTION-checkpoint.ipynb	
+++ /dev/null
@@ -1,169 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Singly Linked List Cycle Check - SOLUTION\n",
-    "\n",
-    "## Problem\n",
-    "\n",
-    "Given a singly linked list, write a function which takes in the first node in a singly linked list and returns a boolean indicating if the linked list contains a \"cycle\".\n",
-    "\n",
-    "A cycle is when a node's next point actually points back to a previous node in the list. This is also sometimes known as a circularly linked list.\n",
-    "\n",
-    "You've been given the Linked List Node class code:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "class Node(object):\n",
-    "    \n",
-    "    def __init__(self,value):\n",
-    "        \n",
-    "        self.value = value\n",
-    "        self.nextnode = None"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Solution\n",
-    "\n",
-    "To solve this problem we will have two markers traversing through the list. **marker1** and **marker2**. We will have both makers begin at the first node of the list and traverse through the linked list. However the second marker, marker2, will move two nodes ahead for every one node that marker1 moves.\n",
-    "\n",
-    "By this logic we can imagine that the markers are \"racing\" through the linked list, with marker2 moving faster. If the linked list has a cylce and is circularly connected we will have the analogy of a track, in this case the marker2 will eventually be \"lapping\" the marker1 and they will equal each other. \n",
-    "\n",
-    "If the linked list has no cycle, then marker2 should be able to continue on until the very end, never equaling the first marker.\n",
-    "\n",
-    "Let's see this logic coded out:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 8,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "def cycle_check(node):\n",
-    "\n",
-    "    # Begin both markers at the first node\n",
-    "    marker1 = node\n",
-    "    marker2 = node\n",
-    "\n",
-    "    # Go until end of list\n",
-    "    while marker2 != None and marker2.nextnode != None:\n",
-    "        \n",
-    "        # Note\n",
-    "        marker1 = marker1.nextnode\n",
-    "        marker2 = marker2.nextnode.nextnode\n",
-    "\n",
-    "        # Check if the markers have matched\n",
-    "        if marker2 == marker1:\n",
-    "            return True\n",
-    "\n",
-    "    # Case where marker ahead reaches the end of the list\n",
-    "    return False"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Test Your Solution"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 9,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "ALL TEST CASES PASSED\n"
-     ]
-    }
-   ],
-   "source": [
-    "\"\"\"\n",
-    "RUN THIS CELL TO TEST YOUR SOLUTION\n",
-    "\"\"\"\n",
-    "from nose.tools import assert_equal\n",
-    "\n",
-    "# CREATE CYCLE LIST\n",
-    "a = Node(1)\n",
-    "b = Node(2)\n",
-    "c = Node(3)\n",
-    "\n",
-    "a.nextnode = b\n",
-    "b.nextnode = c\n",
-    "c.nextnode = a # Cycle Here!\n",
-    "\n",
-    "\n",
-    "# CREATE NON CYCLE LIST\n",
-    "x = Node(1)\n",
-    "y = Node(2)\n",
-    "z = Node(3)\n",
-    "\n",
-    "x.nextnode = y\n",
-    "y.nextnode = z\n",
-    "\n",
-    "\n",
-    "#############\n",
-    "class TestCycleCheck(object):\n",
-    "    \n",
-    "    def test(self,sol):\n",
-    "        assert_equal(sol(a),True)\n",
-    "        assert_equal(sol(x),False)\n",
-    "        \n",
-    "        print \"ALL TEST CASES PASSED\"\n",
-    "        \n",
-    "# Run Tests\n",
-    "\n",
-    "t = TestCycleCheck()\n",
-    "t.test(cycle_check)\n"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Good Job!"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 2",
-   "language": "python",
-   "name": "python2"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 2
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 0
-}
diff --git a/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems /.ipynb_checkpoints/01-Singly Linked List Cycle Check-checkpoint.ipynb b/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems /.ipynb_checkpoints/01-Singly Linked List Cycle Check-checkpoint.ipynb
deleted file mode 100644
index 566656cf..00000000
--- a/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems /.ipynb_checkpoints/01-Singly Linked List Cycle Check-checkpoint.ipynb	
+++ /dev/null
@@ -1,148 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Singly Linked List Cycle Check \n",
-    "\n",
-    "## Problem\n",
-    "\n",
-    "Given a singly linked list, write a function which takes in the first node in a singly linked list and returns a boolean indicating if the linked list contains a \"cycle\".\n",
-    "\n",
-    "A cycle is when a node's next point actually points back to a previous node in the list. This is also sometimes known as a circularly linked list.\n",
-    "\n",
-    "You've been given the Linked List Node class code:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "class Node(object):\n",
-    "    \n",
-    "    def __init__(self,value):\n",
-    "        \n",
-    "        self.value = value\n",
-    "        self.nextnode = None"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Solution\n",
-    "\n",
-    "Fill out your solution:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def cycle_check(node):\n",
-    "\n",
-    "    pass #Your function should return a boolean"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Test Your Solution"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {},
-   "outputs": [
-    {
-     "ename": "AssertionError",
-     "evalue": "None != True",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mAssertionError\u001b[0m                            Traceback (most recent call last)",
-      "\u001b[0;32m<ipython-input-4-dac6f97cccdc>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m     35\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     36\u001b[0m \u001b[0mt\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mTestCycleCheck\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 37\u001b[0;31m \u001b[0mt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtest\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcycle_check\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
-      "\u001b[0;32m<ipython-input-4-dac6f97cccdc>\u001b[0m in \u001b[0;36mtest\u001b[0;34m(self, sol)\u001b[0m\n\u001b[1;32m     27\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     28\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mtest\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0msol\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 29\u001b[0;31m         \u001b[0massert_equal\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msol\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0ma\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     30\u001b[0m         \u001b[0massert_equal\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msol\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;32mFalse\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     31\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m/usr/lib/python3.8/unittest/case.py\u001b[0m in \u001b[0;36massertEqual\u001b[0;34m(self, first, second, msg)\u001b[0m\n\u001b[1;32m    910\u001b[0m         \"\"\"\n\u001b[1;32m    911\u001b[0m         \u001b[0massertion_func\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_getAssertEqualityFunc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfirst\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msecond\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 912\u001b[0;31m         \u001b[0massertion_func\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfirst\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msecond\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmsg\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mmsg\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    913\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    914\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0massertNotEqual\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfirst\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msecond\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmsg\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m/usr/lib/python3.8/unittest/case.py\u001b[0m in \u001b[0;36m_baseAssertEqual\u001b[0;34m(self, first, second, msg)\u001b[0m\n\u001b[1;32m    903\u001b[0m             \u001b[0mstandardMsg\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m'%s != %s'\u001b[0m \u001b[0;34m%\u001b[0m \u001b[0m_common_shorten_repr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfirst\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msecond\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    904\u001b[0m             \u001b[0mmsg\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_formatMessage\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmsg\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mstandardMsg\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 905\u001b[0;31m             \u001b[0;32mraise\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfailureException\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmsg\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    906\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    907\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0massertEqual\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfirst\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msecond\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmsg\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;31mAssertionError\u001b[0m: None != True"
-     ]
-    }
-   ],
-   "source": [
-    "\"\"\"\n",
-    "RUN THIS CELL TO TEST YOUR SOLUTION\n",
-    "\"\"\"\n",
-    "from nose.tools import assert_equal\n",
-    "\n",
-    "# CREATE CYCLE LIST\n",
-    "a = Node(1)\n",
-    "b = Node(2)\n",
-    "c = Node(3)\n",
-    "\n",
-    "a.nextnode = b\n",
-    "b.nextnode = c\n",
-    "c.nextnode = a # Cycle Here!\n",
-    "\n",
-    "\n",
-    "# CREATE NON CYCLE LIST\n",
-    "x = Node(1)\n",
-    "y = Node(2)\n",
-    "z = Node(3)\n",
-    "\n",
-    "x.nextnode = y\n",
-    "y.nextnode = z\n",
-    "\n",
-    "\n",
-    "#############\n",
-    "class TestCycleCheck(object):\n",
-    "    \n",
-    "    def test(self,sol):\n",
-    "        assert_equal(sol(a),True)\n",
-    "        assert_equal(sol(x),False)\n",
-    "        \n",
-    "        print(\"ALL TEST CASES PASSED\")\n",
-    "        \n",
-    "# Run Tests\n",
-    "\n",
-    "t = TestCycleCheck()\n",
-    "t.test(cycle_check)\n"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Good Job!"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.8.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 1
-}
diff --git a/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems /.ipynb_checkpoints/02-Linked List Reversal -checkpoint.ipynb b/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems /.ipynb_checkpoints/02-Linked List Reversal -checkpoint.ipynb
deleted file mode 100644
index 53b2b38d..00000000
--- a/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems /.ipynb_checkpoints/02-Linked List Reversal -checkpoint.ipynb	
+++ /dev/null
@@ -1,173 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Linked List Reversal \n",
-    "\n",
-    "## Problem\n",
-    "\n",
-    "Write a function to reverse a Linked List in place. The function will take in the head of the list as input and return the new head of the list.\n",
-    "\n",
-    "You are given the example Linked List Node class:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "class Node(object):\n",
-    "    \n",
-    "    def __init__(self,value):\n",
-    "        \n",
-    "        self.value = value\n",
-    "        self.nextnode = None"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Solution\n",
-    "\n",
-    "Fill out your solution below:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def reverse(head):\n",
-    "    \n",
-    "    pass"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Test Your Solution\n",
-    "\n",
-    "**Note, this isn't a classic run cell for testing your solution, please read the statements below carefully**\n",
-    "\n",
-    "You should be able to easily test your own solution to make sure it works. Given the short list a,b,c,d with values 1,2,3,4. Check the effect of your reverse function and make sure the results match the logic here below:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Create a list of 4 nodes\n",
-    "a = Node(1)\n",
-    "b = Node(2)\n",
-    "c = Node(3)\n",
-    "d = Node(4)\n",
-    "\n",
-    "# Set up order a,b,c,d with values 1,2,3,4\n",
-    "a.nextnode = b\n",
-    "b.nextnode = c\n",
-    "c.nextnode = d"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Now let's check the values of the nodes coming after a, b and c:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "print(a.nextnode.value)\n",
-    "print(b.nextnode.value)\n",
-    "print(c.nextnode.value)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "d.nextnode.value"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "So far so good. Note how there is no value proceeding the last node, this makes sense! Now let's reverse the linked list, we should see the opposite order of values!"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "reverse(a)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "print(d.nextnode.value)\n",
-    "print(c.nextnode.value)\n",
-    "print(b.nextnode.value)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "print(a.nextnode.value) # This will give an error since it now points to None"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Great, now we can see that each of the values points to its previous value (although now that the linked list is reversed we can see the ordering has also reversed)\n",
-    "\n",
-    "## Good Job!"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.8.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 1
-}
diff --git a/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems /.ipynb_checkpoints/03-Linked List Nth to Last Node -checkpoint.ipynb b/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems /.ipynb_checkpoints/03-Linked List Nth to Last Node -checkpoint.ipynb
deleted file mode 100644
index e0c7b2b3..00000000
--- a/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems /.ipynb_checkpoints/03-Linked List Nth to Last Node -checkpoint.ipynb	
+++ /dev/null
@@ -1,157 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Linked List Nth to Last Node \n",
-    "\n",
-    "## Problem Statement\n",
-    "Write a function that takes a head node and an integer value **n** and then returns the nth to last node in the linked list. For example, given:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "class Node:\n",
-    "\n",
-    "    def __init__(self, value):\n",
-    "        self.value = value\n",
-    "        self.nextnode  = None"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "**Example Input and Output:**"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "a = Node(1)\n",
-    "b = Node(2)\n",
-    "c = Node(3)\n",
-    "d = Node(4)\n",
-    "e = Node(5)\n",
-    "\n",
-    "a.nextnode = b\n",
-    "b.nextnode = c\n",
-    "c.nextnode = d\n",
-    "d.nextnode = e\n",
-    "\n",
-    "# This would return the node d with a value of 4, because its the 2nd to last node.\n",
-    "target_node = nth_to_last_node(2, a) "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "target_node.value"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Solution\n",
-    "Fill out your solution below:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def nth_to_last_node(n, head):\n",
-    "\n",
-    "    pass"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Test Your Solution"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "\"\"\"\n",
-    "RUN THIS CELL TO TEST YOUR SOLUTION AGAINST A TEST CASE \n",
-    "\n",
-    "PLEASE NOTE THIS IS JUST ONE CASE\n",
-    "\"\"\"\n",
-    "\n",
-    "from nose.tools import assert_equal\n",
-    "\n",
-    "a = Node(1)\n",
-    "b = Node(2)\n",
-    "c = Node(3)\n",
-    "d = Node(4)\n",
-    "e = Node(5)\n",
-    "\n",
-    "a.nextnode = b\n",
-    "b.nextnode = c\n",
-    "c.nextnode = d\n",
-    "d.nextnode = e\n",
-    "\n",
-    "####\n",
-    "\n",
-    "class TestNLast(object):\n",
-    "    \n",
-    "    def test(self,sol):\n",
-    "        \n",
-    "        assert_equal(sol(2,a),d)\n",
-    "        print('ALL TEST CASES PASSED')\n",
-    "        \n",
-    "# Run tests\n",
-    "t = TestNLast()\n",
-    "t.test(nth_to_last_node)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Good Job!"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.8.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 1
-}
diff --git a/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems /04-Implement a Singly Linked List.ipynb b/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems /04-Implement a Singly Linked List.ipynb
deleted file mode 100644
index 2cc0fc3b..00000000
--- a/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems /04-Implement a Singly Linked List.ipynb	
+++ /dev/null
@@ -1,68 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Implement a Singly Linked List\n",
-    "\n",
-    "For this interview problem, create a node class and show how it can be used to create a Singly Linked List"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "class Node(object):\n",
-    "    pass"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "# Create a Singly Linked List here"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Test Your Solution\n",
-    "\n",
-    "Note that there is no test for this solution (because it would give away the answer structure).\n",
-    "\n",
-    "Check out the Implement a Linked List Solution Notebook for the answer to this interview problem, as well as the answer for the implementation of a doubly linked list."
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.8.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 1
-}
diff --git a/05-Recursion/.ipynb_checkpoints/03-Recursion Homework Example Problems - SOLUTIONS-checkpoint.ipynb b/05-Recursion/.ipynb_checkpoints/03-Recursion Homework Example Problems - SOLUTIONS-checkpoint.ipynb
index fc6698ca..62d10b65 100644
--- a/05-Recursion/.ipynb_checkpoints/03-Recursion Homework Example Problems - SOLUTIONS-checkpoint.ipynb	
+++ b/05-Recursion/.ipynb_checkpoints/03-Recursion Homework Example Problems - SOLUTIONS-checkpoint.ipynb	
@@ -86,7 +86,7 @@
     "    \n",
     "    # Recursion\n",
     "    else:\n",
-    "        return n%10 + sum_func(n/10)"
+    "        return n%10 + sum_func(n//10)"
    ]
   },
   {
@@ -95,18 +95,14 @@
    "metadata": {},
    "outputs": [
     {
-     "ename": "RecursionError",
-     "evalue": "maximum recursion depth exceeded while getting the str of an object",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mRecursionError\u001b[0m                            Traceback (most recent call last)",
-      "\u001b[0;32m<ipython-input-4-a557a69e80e0>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0msum_func\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m4321\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
-      "\u001b[0;32m<ipython-input-3-98805590be21>\u001b[0m in \u001b[0;36msum_func\u001b[0;34m(n)\u001b[0m\n\u001b[1;32m      6\u001b[0m     \u001b[0;31m# Recursion\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      7\u001b[0m     \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 8\u001b[0;31m         \u001b[0;32mreturn\u001b[0m \u001b[0mn\u001b[0m\u001b[0;34m%\u001b[0m\u001b[0;36m10\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0msum_func\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mn\u001b[0m\u001b[0;34m/\u001b[0m\u001b[0;36m10\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
-      "... last 1 frames repeated, from the frame below ...\n",
-      "\u001b[0;32m<ipython-input-3-98805590be21>\u001b[0m in \u001b[0;36msum_func\u001b[0;34m(n)\u001b[0m\n\u001b[1;32m      6\u001b[0m     \u001b[0;31m# Recursion\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      7\u001b[0m     \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 8\u001b[0;31m         \u001b[0;32mreturn\u001b[0m \u001b[0mn\u001b[0m\u001b[0;34m%\u001b[0m\u001b[0;36m10\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0msum_func\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mn\u001b[0m\u001b[0;34m/\u001b[0m\u001b[0;36m10\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
-      "\u001b[0;31mRecursionError\u001b[0m: maximum recursion depth exceeded while getting the str of an object"
-     ]
+     "data": {
+      "text/plain": [
+       "10"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
     }
    ],
    "source": [
@@ -136,7 +132,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "4321 / 10"
+    "4321 // 10"
    ]
   },
   {
@@ -146,7 +142,9 @@
    },
    "source": [
     "We'll need to think of this function recursively by knowing that:\n",
-    "4502 % 10 + sum_func(4502/10)"
+    "4502 % 10 + sum_func(4502//10)\n",
+    "\n",
+    "Hint2: python3 automatically converts the result of a division to float! Make sure to use integer division (a//b)"
    ]
   },
   {
diff --git a/05-Recursion/Recursion Interview Problems/Recursion Problems -  SOLUTIONS/01-Reverse String - SOLUTION.ipynb b/05-Recursion/Recursion Interview Problems/01-Reverse-String/01-Reverse String - SOLUTION.ipynb
similarity index 100%
rename from 05-Recursion/Recursion Interview Problems/Recursion Problems -  SOLUTIONS/01-Reverse String - SOLUTION.ipynb
rename to 05-Recursion/Recursion Interview Problems/01-Reverse-String/01-Reverse String - SOLUTION.ipynb
diff --git a/05-Recursion/Recursion Interview Problems/Recursion Problems/01-Reverse String .ipynb b/05-Recursion/Recursion Interview Problems/01-Reverse-String/01-Reverse String .ipynb
similarity index 100%
rename from 05-Recursion/Recursion Interview Problems/Recursion Problems/01-Reverse String .ipynb
rename to 05-Recursion/Recursion Interview Problems/01-Reverse-String/01-Reverse String .ipynb
diff --git a/05-Recursion/Recursion Interview Problems/Recursion Problems -  SOLUTIONS/02-String Permutation- SOLUTION.ipynb b/05-Recursion/Recursion Interview Problems/02-String-Permutation/02-String Permutation- SOLUTION.ipynb
similarity index 100%
rename from 05-Recursion/Recursion Interview Problems/Recursion Problems -  SOLUTIONS/02-String Permutation- SOLUTION.ipynb
rename to 05-Recursion/Recursion Interview Problems/02-String-Permutation/02-String Permutation- SOLUTION.ipynb
diff --git a/05-Recursion/Recursion Interview Problems/Recursion Problems/02-String Permutation.ipynb b/05-Recursion/Recursion Interview Problems/02-String-Permutation/02-String Permutation.ipynb
similarity index 100%
rename from 05-Recursion/Recursion Interview Problems/Recursion Problems/02-String Permutation.ipynb
rename to 05-Recursion/Recursion Interview Problems/02-String-Permutation/02-String Permutation.ipynb
diff --git a/05-Recursion/Recursion Interview Problems/Recursion Problems -  SOLUTIONS/03-Fibonacci Sequence - SOLUTION.ipynb b/05-Recursion/Recursion Interview Problems/03-Fibonacci-Sequence/03-Fibonacci Sequence - SOLUTION.ipynb
similarity index 100%
rename from 05-Recursion/Recursion Interview Problems/Recursion Problems -  SOLUTIONS/03-Fibonacci Sequence - SOLUTION.ipynb
rename to 05-Recursion/Recursion Interview Problems/03-Fibonacci-Sequence/03-Fibonacci Sequence - SOLUTION.ipynb
diff --git a/05-Recursion/Recursion Interview Problems/Recursion Problems/03-Fibonacci Sequence.ipynb b/05-Recursion/Recursion Interview Problems/03-Fibonacci-Sequence/03-Fibonacci Sequence.ipynb
similarity index 100%
rename from 05-Recursion/Recursion Interview Problems/Recursion Problems/03-Fibonacci Sequence.ipynb
rename to 05-Recursion/Recursion Interview Problems/03-Fibonacci-Sequence/03-Fibonacci Sequence.ipynb
diff --git a/05-Recursion/Recursion Interview Problems/Recursion Problems -  SOLUTIONS/04-Coin Change - SOLUTION.ipynb b/05-Recursion/Recursion Interview Problems/04-Coin-Change/04-Coin Change - SOLUTION.ipynb
similarity index 100%
rename from 05-Recursion/Recursion Interview Problems/Recursion Problems -  SOLUTIONS/04-Coin Change - SOLUTION.ipynb
rename to 05-Recursion/Recursion Interview Problems/04-Coin-Change/04-Coin Change - SOLUTION.ipynb
diff --git a/05-Recursion/Recursion Interview Problems/Recursion Problems/04-Coin Change.ipynb b/05-Recursion/Recursion Interview Problems/04-Coin-Change/04-Coin Change.ipynb
similarity index 100%
rename from 05-Recursion/Recursion Interview Problems/Recursion Problems/04-Coin Change.ipynb
rename to 05-Recursion/Recursion Interview Problems/04-Coin-Change/04-Coin Change.ipynb
diff --git a/05-Recursion/Recursion Interview Problems/Recursion Problems -  SOLUTIONS/.ipynb_checkpoints/01-Reverse String - SOLUTION-checkpoint.ipynb b/05-Recursion/Recursion Interview Problems/Recursion Problems -  SOLUTIONS/.ipynb_checkpoints/01-Reverse String - SOLUTION-checkpoint.ipynb
deleted file mode 100644
index d24c58f7..00000000
--- a/05-Recursion/Recursion Interview Problems/Recursion Problems -  SOLUTIONS/.ipynb_checkpoints/01-Reverse String - SOLUTION-checkpoint.ipynb	
+++ /dev/null
@@ -1,140 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Reverse a String\n",
-    "\n",
-    "This interview question requires you to reverse a string using recursion. Make sure to think of the base case here.\n",
-    "\n",
-    "Again, make sure you use *recursion* to accomplish this. **Do not slice (e.g. string[::-1]) or use iteration, there muse be a recursive call for the function.**\n",
-    "\n",
-    "____\n",
-    "\n",
-    "## Solution\n",
-    "\n",
-    "In order to reverse a string using recursion we need to consider what a base and recursive case would look like. Here we've set a base case to be when the length of the string we are passing through the function is length less than or equal to 1.\n",
-    "\n",
-    "During the recursive case we grab the first letter and add it on to the recursive call."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def reverse(s):\n",
-    "    \n",
-    "    # Base Case\n",
-    "    if len(s) <= 1:\n",
-    "        return s\n",
-    "\n",
-    "    # Recursion\n",
-    "    return reverse(s[1:]) + s[0]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "'dlrow olleh'"
-      ]
-     },
-     "execution_count": 2,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "reverse('hello world')"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {
-    "collapsed": true
-   },
-   "source": [
-    "# Test Your Solution\n",
-    "\n",
-    "Run the cell below to test your solution against the following cases:\n",
-    "\n",
-    "    string = 'hello'\n",
-    "    string = 'hello world'\n",
-    "    string = '123456789'"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "PASSED ALL TEST CASES!\n"
-     ]
-    }
-   ],
-   "source": [
-    "'''\n",
-    "RUN THIS CELL TO TEST YOUR FUNCTION AGAINST SOME TEST CASES\n",
-    "'''\n",
-    "\n",
-    "from nose.tools import assert_equal\n",
-    "\n",
-    "class TestReverse(object):\n",
-    "    \n",
-    "    def test_rev(self,solution):\n",
-    "        assert_equal(solution('hello'),'olleh')\n",
-    "        assert_equal(solution('hello world'),'dlrow olleh')\n",
-    "        assert_equal(solution('123456789'),'987654321')\n",
-    "        \n",
-    "        print('PASSED ALL TEST CASES!')\n",
-    "        \n",
-    "# Run Tests\n",
-    "test = TestReverse()\n",
-    "test.test_rev(reverse)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Extra Notes\n",
-    "\n",
-    "The \"trick\" to this question was thinking about what a base case would look like when reversing a string recursively. It takes a lot of practice to be able to begin thinking like this, so don't worry if you're struggling! However it is important to fully understand the solution!\n",
-    "\n",
-    "**Good Job!**"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.8.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 1
-}
diff --git a/05-Recursion/Recursion Interview Problems/Recursion Problems -  SOLUTIONS/.ipynb_checkpoints/02-String Permutation- SOLUTION-checkpoint.ipynb b/05-Recursion/Recursion Interview Problems/Recursion Problems -  SOLUTIONS/.ipynb_checkpoints/02-String Permutation- SOLUTION-checkpoint.ipynb
deleted file mode 100644
index 93d49093..00000000
--- a/05-Recursion/Recursion Interview Problems/Recursion Problems -  SOLUTIONS/.ipynb_checkpoints/02-String Permutation- SOLUTION-checkpoint.ipynb	
+++ /dev/null
@@ -1,169 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {
-    "collapsed": true
-   },
-   "source": [
-    "# String Permutation\n",
-    "\n",
-    "## Problem Statement\n",
-    "\n",
-    "Given a string, write a function that uses recursion to output a list of all the possible permutations of that string.\n",
-    "\n",
-    "For example, given s='abc' the function should return ['abc', 'acb', 'bac', 'bca', 'cab', 'cba']\n",
-    "\n",
-    "*Note: If a character is repeated, treat each occurence as distinct, for example an input of 'xxx' would return a list with 6 \"versions\" of 'xxx'*\n",
-    "\n",
-    "\n",
-    "## Fill Out Your Solution Below\n",
-    "\n",
-    "Let's think about what the steps we need to take here are:\n",
-    "\n",
-    "1. Iterate through the initial string – e.g., ‘abc’.\n",
-    "\n",
-    "* For each character in the initial string, set aside that character and get a list of all permutations of the string that’s left. So, for example, if the current iteration is on 'b', we’d want to find all the permutations of the string 'ac'.\n",
-    "\n",
-    "* Once you have the list from step 2, add each element from that list to the character from the initial string, and append the result to our list of final results. So if we’re on 'b' and we’ve gotten the list ['ac', 'ca'], we’d add 'b' to those, resulting in 'bac' and 'bca', each of which we’d add to our final results.\n",
-    "\n",
-    "* Return the list of final results.\n",
-    "\n",
-    "Let's go ahead and see this implemented:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def permute(s):\n",
-    "    out = []\n",
-    "    \n",
-    "    # Base Case\n",
-    "    if len(s) == 1:\n",
-    "        out = [s]\n",
-    "        \n",
-    "    else:\n",
-    "        # For every letter in string\n",
-    "        for i, let in enumerate(s):\n",
-    "            \n",
-    "            # For every permutation resulting from Step 2 and 3 described above\n",
-    "            for perm in permute(s[:i] + s[i+1:]):\n",
-    "                \n",
-    "                # Add it to output\n",
-    "                out += [let + perm]\n",
-    "\n",
-    "    return out"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "['abc', 'acb', 'bac', 'bca', 'cab', 'cba']"
-      ]
-     },
-     "execution_count": 2,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "permute('abc')"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "____\n",
-    "# Test Your Solution"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "All test cases passed.\n"
-     ]
-    }
-   ],
-   "source": [
-    "\"\"\"\n",
-    "RUN THIS CELL TO TEST YOUR SOLUTION.\n",
-    "\"\"\"\n",
-    "\n",
-    "from nose.tools import assert_equal\n",
-    "\n",
-    "class TestPerm(object):\n",
-    "    \n",
-    "    def test(self,solution):\n",
-    "        \n",
-    "        assert_equal(sorted(solution('abc')),sorted(['abc', 'acb', 'bac', 'bca', 'cab', 'cba']))\n",
-    "        assert_equal(sorted(solution('dog')),sorted(['dog', 'dgo', 'odg', 'ogd', 'gdo', 'god']) )\n",
-    "        \n",
-    "        print('All test cases passed.')\n",
-    "        \n",
-    "\n",
-    "\n",
-    "# Run Tests\n",
-    "t = TestPerm()\n",
-    "t.test(permute)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "___\n",
-    "# Conclusion\n",
-    "\n",
-    "There were two main takeaways from tackling this problem:\n",
-    "\n",
-    "* Every time we put a new letter in position i, we then had to find all the possible combinations at position i+1 – this was the recursive call that we made. How do we know when to save a string? When we are at a position i that is greater than the number of letters in the input string, then we know that we have found one valid permutation of the string and then we can add it to the list and return to changing letters at positions less than i. This was our base case – remember that we always must have a recursive case and a base case when using recursion!\n",
-    "\n",
-    "\n",
-    "* Another big part of this problem was figuring out which letters we can put in a given position. Using our sample string “abc”, lets say that we are going through all the permutations where the first letter  is \"c”. Then, it should be clear that the letter in the 2nd and 3rd position can only be either “a” or “b”, because “a” is already used. As part of our algorithm, we have to know which letters can be used in a given position – because we can’t reuse the letters that were used in the earlier positions. "
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Good Job!"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.8.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 1
-}
diff --git a/05-Recursion/Recursion Interview Problems/Recursion Problems -  SOLUTIONS/.ipynb_checkpoints/03-Fibonacci Sequence - SOLUTION-checkpoint.ipynb b/05-Recursion/Recursion Interview Problems/Recursion Problems -  SOLUTIONS/.ipynb_checkpoints/03-Fibonacci Sequence - SOLUTION-checkpoint.ipynb
deleted file mode 100644
index 8dcb5da7..00000000
--- a/05-Recursion/Recursion Interview Problems/Recursion Problems -  SOLUTIONS/.ipynb_checkpoints/03-Fibonacci Sequence - SOLUTION-checkpoint.ipynb	
+++ /dev/null
@@ -1,251 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {
-    "collapsed": true
-   },
-   "source": [
-    "# Fibonnaci Sequence\n",
-    "\n",
-    "## Problem Statement\n",
-    "\n",
-    "Implement a [Fibonnaci Sequence](https://en.wikipedia.org/wiki/Fibonacci_number) in three different ways:\n",
-    "\n",
-    "* Recursively\n",
-    "* Dynamically (Using Memoization to store results)\n",
-    "* Iteratively\n",
-    "\n",
-    "Remember that a fibonacci sequence: 0,1,1,2,3,5,8,13,21,... starts off with a base case checking to see if n = 0 or 1, then it returns 1. \n",
-    "\n",
-    "Else it returns fib(n-1)+fib(n+2)."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Recursively\n",
-    "\n",
-    "The recursive solution is exponential time Big-O , with O(2^n). However, its a very simple and basic implementation to consider:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def fib_rec(n):\n",
-    "    \n",
-    "    # Base Case\n",
-    "    if n == 0 or n == 1:\n",
-    "        return n\n",
-    "    \n",
-    "    # Recursion\n",
-    "    else:\n",
-    "        return fib_rec(n-1) + fib_rec(n-2)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "55"
-      ]
-     },
-     "execution_count": 2,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "fib_rec(10)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Dynamically\n",
-    "\n",
-    "In the form it is implemented here, the cache is set beforehand and is based on the desired **n** number of the Fibonacci Sequence. Note how we check it the cache[n] != None, meaning we have a check to know wether or not to keep setting the cache (and more importantly keep cache of old results!)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Instantiate Cache information\n",
-    "n = 10\n",
-    "cache = [None] * (n + 1)\n",
-    "\n",
-    "\n",
-    "def fib_dyn(n):\n",
-    "    \n",
-    "    # Base Case\n",
-    "    if n == 0 or n == 1:\n",
-    "        return n\n",
-    "    \n",
-    "    # Check cache\n",
-    "    if cache[n] != None:\n",
-    "        return cache[n]\n",
-    "    \n",
-    "    # Keep setting cache\n",
-    "    cache[n] = fib_dyn(n-1) + fib_dyn(n-2)\n",
-    "    \n",
-    "    return cache[n]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "55"
-      ]
-     },
-     "execution_count": 4,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "fib_dyn(10)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Iteratively\n",
-    "\n",
-    "In this solution we can take advantage of Python's tuple unpacking!"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def fib_iter(n):\n",
-    "    \n",
-    "    # Set starting point\n",
-    "    a = 0\n",
-    "    b = 1\n",
-    "    \n",
-    "    # Follow algorithm\n",
-    "    for i in range(n):\n",
-    "        \n",
-    "        a, b = b, a + b\n",
-    "        \n",
-    "    return a"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "28657"
-      ]
-     },
-     "execution_count": 6,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "fib_iter(23)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Test Your Solution\n",
-    "\n",
-    "Run the cell below to test your solutions, simply uncomment the solution functions you wish to test!"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Passed all tests.\n"
-     ]
-    }
-   ],
-   "source": [
-    "\"\"\"\n",
-    "UNCOMMENT THE CODE AT THE BOTTOM OF THIS CELL TO SELECT WHICH SOLUTIONS TO TEST.\n",
-    "THEN RUN THE CELL.\n",
-    "\"\"\"\n",
-    "\n",
-    "from nose.tools import assert_equal\n",
-    "\n",
-    "class TestFib(object):\n",
-    "    \n",
-    "    def test(self,solution):\n",
-    "        assert_equal(solution(10),55)\n",
-    "        assert_equal(solution(1),1)\n",
-    "        assert_equal(solution(23),28657)\n",
-    "        print('Passed all tests.')\n",
-    "# UNCOMMENT FOR CORRESPONDING FUNCTION\n",
-    "t = TestFib()\n",
-    "\n",
-    "t.test(fib_rec)\n",
-    "#t.test(fib_dyn) # Note, will need to reset cache size for each test!\n",
-    "#t.test(fib_iter)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Conclusion\n",
-    "\n",
-    "Hopefully this interview question served as a good excercise in exploring recursion, dynamic programming, and iterative solutions for a single problem! Its good to work through all three because in an interview a common question may just begin with requesting a recursive solution and then checking to se if you can implement the other forms!"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.8.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 1
-}
diff --git a/05-Recursion/Recursion Interview Problems/Recursion Problems -  SOLUTIONS/.ipynb_checkpoints/04-Coin Change - SOLUTION-checkpoint.ipynb b/05-Recursion/Recursion Interview Problems/Recursion Problems -  SOLUTIONS/.ipynb_checkpoints/04-Coin Change - SOLUTION-checkpoint.ipynb
deleted file mode 100644
index 9e22d086..00000000
--- a/05-Recursion/Recursion Interview Problems/Recursion Problems -  SOLUTIONS/.ipynb_checkpoints/04-Coin Change - SOLUTION-checkpoint.ipynb	
+++ /dev/null
@@ -1,263 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {
-    "collapsed": true
-   },
-   "source": [
-    "# Coin Change Problem\n",
-    "\n",
-    "**Note: This problem has multiple solutions and is a classic problem in showing issues with basic recursion. There are better solutions involving memoization and simple iterative solutions.If you are having trouble with this problem (or it seems to be taking a long time to run in some cases) check out the Solution Notebook and fully read the conclusion link for a detailed description of the various ways to solve this problem!**\n",
-    "\n",
-    "\n",
-    "This problem is common enough that is actually has its own [Wikipedia Entry](https://en.wikipedia.org/wiki/Change-making_problem)! Let's check the problem statement again:\n",
-    "\n",
-    "This is a classic recursion problem: Given a target amount **n** and a list (array) of distinct coin values, what's the fewest coins needed to make the change amount. \n",
-    "\n",
-    "For example:\n",
-    "\n",
-    "If n = 10 and coins = [1,5,10]. Then there are 4 possible ways to make change:\n",
-    "\n",
-    "* 1+1+1+1+1+1+1+1+1+1\n",
-    "\n",
-    "* 5 + 1+1+1+1+1\n",
-    "\n",
-    "* 5+5\n",
-    "\n",
-    "* 10\n",
-    "\n",
-    "With 1 coin being the minimum amount.\n",
-    "\n",
-    "    \n",
-    "## Solution\n",
-    "\n",
-    "This is a classic problem to show the value of dynamic programming. We'll show a basic recursive example and show why it's actually not the best way to solve this problem.\n",
-    "\n",
-    "Make sure to read the comments in the code below to fully understand the basic logic!"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def rec_coin(target,coins):\n",
-    "    '''\n",
-    "    INPUT: Target change amount and list of coin values\n",
-    "    OUTPUT: Minimum coins needed to make change\n",
-    "    \n",
-    "    Note, this solution is not optimized.\n",
-    "    '''\n",
-    "    \n",
-    "    # Default to target value\n",
-    "    min_coins = target\n",
-    "    \n",
-    "    # Check to see if we have a single coin match (BASE CASE)\n",
-    "    if target in coins:\n",
-    "        return 1\n",
-    "    \n",
-    "    else:\n",
-    "        \n",
-    "        # for every coin value that is <= than target\n",
-    "        for i in [c for c in coins if c <= target]:\n",
-    "            \n",
-    "            # Recursive Call (add a count coin and subtract from the target) \n",
-    "            num_coins = 1 + rec_coin(target-i,coins)\n",
-    "            \n",
-    "            # Reset Minimum if we have a new minimum\n",
-    "            if num_coins < min_coins:\n",
-    "                \n",
-    "                min_coins = num_coins\n",
-    "                \n",
-    "    return min_coins"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Let's see it in action."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "rec_coin(63,[1,5,10,25])"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "The problem with this approach is that it is very inefficient! It can take many, many recursive calls to finish this problem and its also inaccurate for non standard coin values (coin values that are not 1,5,10, etc.)\n",
-    "\n",
-    "We can see the problem with this approach in the figure below:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "from IPython.display import Image\n",
-    "Image(url='http://interactivepython.org/runestone/static/pythonds/_images/callTree.png')"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Each node here corresponds to a call to the **rec_coin** function. The label on the node indicated the amount of change for which we are now computng the number of coins for. Note how we are recalculating values we've already solved! For instance 15 is called 3 times. It would be much better if we could keep track of function calls we've already made.\n",
-    "_____\n",
-    "## Dynamic Programming Solution\n",
-    "\n",
-    "This is the key to reducing the work time for the function. The better solution is to remember past results, that way before computing a new minimum we can check to see if we already know a result.\n",
-    "\n",
-    "Let's implement this:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def rec_coin_dynam(target,coins,known_results):\n",
-    "    '''\n",
-    "    INPUT: This funciton takes in a target amount and a list of possible coins to use.\n",
-    "    It also takes a third parameter, known_results, indicating previously calculated results.\n",
-    "    The known_results parameter shoud be started with [0] * (target+1)\n",
-    "    \n",
-    "    OUTPUT: Minimum number of coins needed to make the target.\n",
-    "    '''\n",
-    "    \n",
-    "    # Default output to target\n",
-    "    min_coins = target\n",
-    "    \n",
-    "    # Base Case\n",
-    "    if target in coins:\n",
-    "        known_results[target] = 1\n",
-    "        return 1\n",
-    "    \n",
-    "    # Return a known result if it happens to be greater than 1\n",
-    "    elif known_results[target] > 0:\n",
-    "        return known_results[target]\n",
-    "    \n",
-    "    else:\n",
-    "        # for every coin value that is <= than target\n",
-    "        for i in [c for c in coins if c <= target]:\n",
-    "            \n",
-    "            # Recursive call, note how we include the known results!\n",
-    "            num_coins = 1 + rec_coin_dynam(target-i,coins,known_results)\n",
-    "            \n",
-    "            # Reset Minimum if we have a new minimum\n",
-    "            if num_coins < min_coins:\n",
-    "                min_coins = num_coins\n",
-    "                \n",
-    "                # Reset the known result\n",
-    "                known_results[target] = min_coins\n",
-    "                \n",
-    "    return min_coins"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Let's test it!"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "target = 74\n",
-    "coins = [1,5,10,25]\n",
-    "known_results = [0]*(target+1)\n",
-    "\n",
-    "rec_coin_dynam(target,coins,known_results)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Test Your Solution\n",
-    "\n",
-    "Run the cell below to test your function against some test cases. \n",
-    "\n",
-    "**Note that the TestCoins class only test functions with two parameter inputs, the list of coins and the target**"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "\"\"\"\n",
-    "RUN THIS CELL TO TEST YOUR FUNCTION.\n",
-    "NOTE: NON-DYNAMIC FUNCTIONS WILL TAKE A LONG TIME TO TEST. IF YOU BELIEVE YOU HAVE A SOLUTION\n",
-    "\"\"\"\n",
-    "\n",
-    "from nose.tools import assert_equal\n",
-    "\n",
-    "class TestCoins(object):\n",
-    "    \n",
-    "    def check(self,solution):\n",
-    "        coins = [1,5,10,25]\n",
-    "        assert_equal(solution(45,coins),3)\n",
-    "        assert_equal(solution(23,coins),5)\n",
-    "        assert_equal(solution(74,coins),8)\n",
-    "\n",
-    "        print('Passed all tests.')\n",
-    "        \n",
-    "# Run Test\n",
-    "\n",
-    "test = TestCoins()\n",
-    "test.check(rec_coin)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Conclusion and Extra Resources\n",
-    "\n",
-    "For homework, read the link below and also implement the non-recursive solution described in the link!\n",
-    "\n",
-    "For another great resource on a variation of this problem, check out this link:\n",
-    "[Dynamic Programming Coin Change Problem](http://interactivepython.org/runestone/static/pythonds/Recursion/DynamicProgramming.html)"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.8.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 1
-}
diff --git a/05-Recursion/Recursion Interview Problems/Recursion Problems - PRACTICE/.ipynb_checkpoints/01-Reverse String -checkpoint.ipynb b/05-Recursion/Recursion Interview Problems/Recursion Problems - PRACTICE/.ipynb_checkpoints/01-Reverse String -checkpoint.ipynb
deleted file mode 100644
index 3149c274..00000000
--- a/05-Recursion/Recursion Interview Problems/Recursion Problems - PRACTICE/.ipynb_checkpoints/01-Reverse String -checkpoint.ipynb	
+++ /dev/null
@@ -1,131 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Reverse a String\n",
-    "\n",
-    "This interview question requires you to reverse a string using recursion. Make sure to think of the base case here.\n",
-    "\n",
-    "Again, make sure you use *recursion* to accomplish this. **Do not slice (e.g. string[::-1]) or use iteration, there must be a recursive call for the function.**\n",
-    "\n",
-    "____\n",
-    "\n",
-    "### Fill out your solution below"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def reverse(s):\n",
-    "    if(len(s)<=1):\n",
-    "        return s\n",
-    "    else:\n",
-    "        m = int(len(s)/2)\n",
-    "        return reverse(s[m:]) + (reverse((s[:m])))\n",
-    "    pass"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "'dlrow olleh'"
-      ]
-     },
-     "execution_count": 2,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "reverse('hello world')"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {
-    "collapsed": true
-   },
-   "source": [
-    "# Test Your Solution\n",
-    "\n",
-    "Run the cell below to test your solution against the following cases:\n",
-    "\n",
-    "    string = 'hello'\n",
-    "    string = 'hello world'\n",
-    "    string = '123456789'"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "PASSED ALL TEST CASES!\n"
-     ]
-    }
-   ],
-   "source": [
-    "'''\n",
-    "RUN THIS CELL TO TEST YOUR FUNCTION AGAINST SOME TEST CASES\n",
-    "'''\n",
-    "\n",
-    "from nose.tools import assert_equal\n",
-    "\n",
-    "class TestReverse(object):\n",
-    "    \n",
-    "    def test_rev(self,solution):\n",
-    "        assert_equal(solution('hello'),'olleh')\n",
-    "        assert_equal(solution('hello world'),'dlrow olleh')\n",
-    "        assert_equal(solution('123456789'),'987654321')\n",
-    "        \n",
-    "        print ('PASSED ALL TEST CASES!')\n",
-    "        \n",
-    "# Run Tests\n",
-    "test = TestReverse()\n",
-    "test.test_rev(reverse)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "**Good Luck!**"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.8.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 1
-}
diff --git a/05-Recursion/Recursion Interview Problems/Recursion Problems - PRACTICE/.ipynb_checkpoints/02-String Permutation-checkpoint.ipynb b/05-Recursion/Recursion Interview Problems/Recursion Problems - PRACTICE/.ipynb_checkpoints/02-String Permutation-checkpoint.ipynb
deleted file mode 100644
index fe3e00df..00000000
--- a/05-Recursion/Recursion Interview Problems/Recursion Problems - PRACTICE/.ipynb_checkpoints/02-String Permutation-checkpoint.ipynb	
+++ /dev/null
@@ -1,136 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {
-    "collapsed": true
-   },
-   "source": [
-    "# String Permutation\n",
-    "\n",
-    "## Problem Statement\n",
-    "\n",
-    "Given a string, write a function that uses recursion to output a list of all the possible permutations of that string.\n",
-    "\n",
-    "For example, given s='abc' the function should return ['abc', 'acb', 'bac', 'bca', 'cab', 'cba']\n",
-    "\n",
-    "*Note: If a character is repeated, treat each occurence as distinct, for example an input of 'xxx' would return a list with 6 \"versions\" of 'xxx'*\n",
-    "\n",
-    "\n",
-    "## Fill Out Your Solution Below\n",
-    "\n",
-    "Let's think about what the steps we need to take here are:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def permute(s):\n",
-    "    output = []\n",
-    "    \n",
-    "    if len(s) <= 1:\n",
-    "        output=[s]\n",
-    "    else:\n",
-    "        for i, let in enumerate(s):\n",
-    "            for perm in permute(s[:i]+s[i+1:]):\n",
-    "                output+=[let+perm]\n",
-    "    return output"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "['abc', 'acb', 'bac', 'bca', 'cab', 'cba']"
-      ]
-     },
-     "execution_count": 2,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "permute('abc')"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "____\n",
-    "# Test Your Solution"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "All test cases passed.\n"
-     ]
-    }
-   ],
-   "source": [
-    "\"\"\"\n",
-    "RUN THIS CELL TO TEST YOUR SOLUTION.\n",
-    "\"\"\"\n",
-    "\n",
-    "from nose.tools import assert_equal\n",
-    "\n",
-    "class TestPerm(object):\n",
-    "    \n",
-    "    def test(self,solution):\n",
-    "        \n",
-    "        assert_equal(sorted(solution('abc')),sorted(['abc', 'acb', 'bac', 'bca', 'cab', 'cba']))\n",
-    "        assert_equal(sorted(solution('dog')),sorted(['dog', 'dgo', 'odg', 'ogd', 'gdo', 'god']) )\n",
-    "        \n",
-    "        print ('All test cases passed.')\n",
-    "        \n",
-    "\n",
-    "\n",
-    "# Run Tests\n",
-    "t = TestPerm()\n",
-    "t.test(permute)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Good Luck!"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.8.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 1
-}
diff --git a/05-Recursion/Recursion Interview Problems/Recursion Problems - PRACTICE/.ipynb_checkpoints/03-Fibonacci Sequence-checkpoint.ipynb b/05-Recursion/Recursion Interview Problems/Recursion Problems - PRACTICE/.ipynb_checkpoints/03-Fibonacci Sequence-checkpoint.ipynb
deleted file mode 100644
index ade41e73..00000000
--- a/05-Recursion/Recursion Interview Problems/Recursion Problems - PRACTICE/.ipynb_checkpoints/03-Fibonacci Sequence-checkpoint.ipynb	
+++ /dev/null
@@ -1,258 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {
-    "collapsed": true
-   },
-   "source": [
-    "# Fibonnaci Sequence\n",
-    "\n",
-    "In this interview excercise we will begin to get a feel of having to solve a single problem multiple ways!\n",
-    "\n",
-    "## Problem Statement\n",
-    "\n",
-    "Implement a [Fibonnaci Sequence](https://en.wikipedia.org/wiki/Fibonacci_number) in three different ways:\n",
-    "\n",
-    "* Recursively\n",
-    "* Dynamically (Using Memoization to store results)\n",
-    "* Iteratively\n",
-    "___\n",
-    "#### Function Output\n",
-    "Your function will accept a number **n** and return the **nth** number of the fibonacci sequence\n",
-    "___\n",
-    "Remember that a fibonacci sequence: 0,1,1,2,3,5,8,13,21,... starts off with a base case checking to see if n = 0 or 1, then it returns 1. \n",
-    "\n",
-    "Else it returns fib(n-1)+fib(n+2).\n",
-    "\n",
-    "____\n",
-    "\n",
-    "## Fill Out Your Solutions Below"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Recursively\n",
-    "\n",
-    "Solve the problem using simple recursion."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def fib_rec(n):\n",
-    "    if n <=2:\n",
-    "        return int((n+1)/2)\n",
-    "    else:\n",
-    "        return fib_rec(n-1) + fib_rec(n-2)\n",
-    "    pass"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "55"
-      ]
-     },
-     "execution_count": 2,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "fib_rec(10)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Dynamically\n",
-    "\n",
-    "Implement the function using dynamic programming by using a cache to store results (memoization)."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "[None, None, None, None, None, None, None, None, None, None, None]\n"
-     ]
-    }
-   ],
-   "source": [
-    "# Instantiate Cache information\n",
-    "n = 10\n",
-    "cache = [None] * (n + 1)\n",
-    "print(cache)\n",
-    "\n",
-    "def fib_dyn(n):\n",
-    "    if cache[n] is not None:\n",
-    "         return cache[n]\n",
-    "    if n <=2:\n",
-    "        cache[n] = int((n+1)/2)\n",
-    "    else:\n",
-    "        cache[n] = fib_dyn(n-1) + fib_dyn(n-2)\n",
-    "    return cache[n]\n",
-    "    pass"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "55"
-      ]
-     },
-     "execution_count": 4,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "fib_dyn(10)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Iteratively\n",
-    "\n",
-    "Implement the solution with simple iteration."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def fib_iter(n):\n",
-    "    \n",
-    "    # Set starting point\n",
-    "    a = 0\n",
-    "    b = 1\n",
-    "    \n",
-    "    # Follow algorithm\n",
-    "    for i in range(n):\n",
-    "        a, b = b, a + b\n",
-    "    return a"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "28657"
-      ]
-     },
-     "execution_count": 6,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "fib_iter(23)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Test Your Solution\n",
-    "\n",
-    "Run the cell below to test your solutions, simply uncomment the solution functions you wish to test!"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Passed all tests.\n"
-     ]
-    }
-   ],
-   "source": [
-    "\"\"\"\n",
-    "UNCOMMENT THE CODE AT THE BOTTOM OF THIS CELL TO SELECT WHICH SOLUTIONS TO TEST.\n",
-    "THEN RUN THE CELL.\n",
-    "\"\"\"\n",
-    "\n",
-    "from nose.tools import assert_equal\n",
-    "\n",
-    "class TestFib(object):\n",
-    "    \n",
-    "    def test(self,solution):\n",
-    "        assert_equal(solution(10),55)\n",
-    "        assert_equal(solution(1),1)\n",
-    "        assert_equal(solution(23),28657)\n",
-    "        print ('Passed all tests.')\n",
-    "# UNCOMMENT FOR CORRESPONDING FUNCTION\n",
-    "t = TestFib()\n",
-    "\n",
-    "t.test(fib_rec)\n",
-    "#t.test(fib_dyn) # Note, will need to reset cache size for each test!\n",
-    "#t.test(fib_iter)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Conclusion\n",
-    "\n",
-    "Hopefully this interview question served as a good excercise in exploring recursion, dynamic programming, and iterative solutions for a single problem! Its good to work through all three because in an interview a common question may just begin with requesting a recursive solution and then checking to se if you can implement the other forms!"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.8.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 1
-}
diff --git a/05-Recursion/Recursion Interview Problems/Recursion Problems - PRACTICE/.ipynb_checkpoints/04-Coin Change-checkpoint.ipynb b/05-Recursion/Recursion Interview Problems/Recursion Problems - PRACTICE/.ipynb_checkpoints/04-Coin Change-checkpoint.ipynb
deleted file mode 100644
index 39cdb3f5..00000000
--- a/05-Recursion/Recursion Interview Problems/Recursion Problems - PRACTICE/.ipynb_checkpoints/04-Coin Change-checkpoint.ipynb	
+++ /dev/null
@@ -1,147 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {
-    "collapsed": true
-   },
-   "source": [
-    "# Coin Change Problem\n",
-    "\n",
-    "##### Note: This problem has multiple solutions and is a classic problem in showing issues with basic recursion. If you are having trouble with this problem (or it seems to be taking a long time to run in some cases) check out the Solution Notebook and fully read the conclusion link for a detailed description of the various ways to solve this problem!\n",
-    "\n",
-    "\n",
-    "This problem is common enough that is actually has its own [Wikipedia Entry](https://en.wikipedia.org/wiki/Change-making_problem)! \n",
-    "\n",
-    "____\n",
-    "## Problem Statement\n",
-    "Given a target amount **n** and a list (array) of distinct coin values, what's the fewest coins needed to make the change amount. \n",
-    "\n",
-    "For example:\n",
-    "\n",
-    "If n = 10 and coins = [1,5,10]. Then there are 4 possible ways to make change:\n",
-    "\n",
-    "* 1+1+1+1+1+1+1+1+1+1\n",
-    "\n",
-    "* 5 + 1+1+1+1+1\n",
-    "\n",
-    "* 5+5\n",
-    "\n",
-    "* 10\n",
-    "\n",
-    "With 1 coin being the minimum amount.\n",
-    "\n",
-    "    \n",
-    "## Solution\n",
-    "\n",
-    "Implement your solution below:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def rec_coin(target,coins):\n",
-    "    min_coins = target\n",
-    "    \n",
-    "    if target in coins:\n",
-    "        return 1\n",
-    "    else:\n",
-    "        for value in [ c for c in coins if c<= target]:\n",
-    "            num_coins = rec_coin(target-value, coins) + 1\n",
-    "            min_coins = min(num_coins, min_coins)\n",
-    "    return min_coins\n",
-    "    pass"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "rec_coin(10,[1,5]) #2"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "rec_coin(63,[1,5,10,25])"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Test Your Solution\n",
-    "\n",
-    "Run the cell below to test your function against some test cases. \n",
-    "\n",
-    "**Note that the TestCoins class only test functions with two parameter inputs, the list of coins and the target**"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "\"\"\"\n",
-    "RUN THIS CELL TO TEST YOUR FUNCTION.\n",
-    "NOTE: NON-DYNAMIC FUNCTIONS WILL TAKE A LONG TIME TO TEST. IF YOU BELIEVE YOU HAVE A SOLUTION \n",
-    "      GO CHECK THE SOLUTION NOTEBOOK INSTEAD OF RUNNING THIS!\n",
-    "\"\"\"\n",
-    "\n",
-    "from nose.tools import assert_equal\n",
-    "\n",
-    "class TestCoins(object):\n",
-    "    \n",
-    "    def check(self,solution):\n",
-    "        coins = [1,5,10,25]\n",
-    "        assert_equal(solution(45,coins),3)\n",
-    "        assert_equal(solution(23,coins),5)\n",
-    "        assert_equal(solution(74,coins),8)\n",
-    "        print ('Passed all tests.')\n",
-    "# Run Test\n",
-    "\n",
-    "test = TestCoins()\n",
-    "test.check(rec_coin)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## EXTRA\n",
-    "\n",
-    "Good luck and remember to read the solution notebook for this once you've think you have a solution!"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.8.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 1
-}
diff --git a/05-Recursion/Recursion Interview Problems/Recursion Problems - PRACTICE/.ipynb_checkpoints/Recursion Problem 2 - String Permutations-checkpoint.ipynb b/05-Recursion/Recursion Interview Problems/Recursion Problems - PRACTICE/.ipynb_checkpoints/Recursion Problem 2 - String Permutations-checkpoint.ipynb
deleted file mode 100644
index d4218415..00000000
--- a/05-Recursion/Recursion Interview Problems/Recursion Problems - PRACTICE/.ipynb_checkpoints/Recursion Problem 2 - String Permutations-checkpoint.ipynb	
+++ /dev/null
@@ -1,34 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": []
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 2",
-   "language": "python",
-   "name": "python2"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 2
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 0
-}
diff --git a/05-Recursion/Recursion Interview Problems/Recursion Problems - PRACTICE/01-Reverse String .ipynb b/05-Recursion/Recursion Interview Problems/Recursion Problems - PRACTICE/01-Reverse String .ipynb
deleted file mode 100644
index 3149c274..00000000
--- a/05-Recursion/Recursion Interview Problems/Recursion Problems - PRACTICE/01-Reverse String .ipynb	
+++ /dev/null
@@ -1,131 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Reverse a String\n",
-    "\n",
-    "This interview question requires you to reverse a string using recursion. Make sure to think of the base case here.\n",
-    "\n",
-    "Again, make sure you use *recursion* to accomplish this. **Do not slice (e.g. string[::-1]) or use iteration, there must be a recursive call for the function.**\n",
-    "\n",
-    "____\n",
-    "\n",
-    "### Fill out your solution below"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def reverse(s):\n",
-    "    if(len(s)<=1):\n",
-    "        return s\n",
-    "    else:\n",
-    "        m = int(len(s)/2)\n",
-    "        return reverse(s[m:]) + (reverse((s[:m])))\n",
-    "    pass"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "'dlrow olleh'"
-      ]
-     },
-     "execution_count": 2,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "reverse('hello world')"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {
-    "collapsed": true
-   },
-   "source": [
-    "# Test Your Solution\n",
-    "\n",
-    "Run the cell below to test your solution against the following cases:\n",
-    "\n",
-    "    string = 'hello'\n",
-    "    string = 'hello world'\n",
-    "    string = '123456789'"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "PASSED ALL TEST CASES!\n"
-     ]
-    }
-   ],
-   "source": [
-    "'''\n",
-    "RUN THIS CELL TO TEST YOUR FUNCTION AGAINST SOME TEST CASES\n",
-    "'''\n",
-    "\n",
-    "from nose.tools import assert_equal\n",
-    "\n",
-    "class TestReverse(object):\n",
-    "    \n",
-    "    def test_rev(self,solution):\n",
-    "        assert_equal(solution('hello'),'olleh')\n",
-    "        assert_equal(solution('hello world'),'dlrow olleh')\n",
-    "        assert_equal(solution('123456789'),'987654321')\n",
-    "        \n",
-    "        print ('PASSED ALL TEST CASES!')\n",
-    "        \n",
-    "# Run Tests\n",
-    "test = TestReverse()\n",
-    "test.test_rev(reverse)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "**Good Luck!**"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.8.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 1
-}
diff --git a/05-Recursion/Recursion Interview Problems/Recursion Problems - PRACTICE/02-String Permutation.ipynb b/05-Recursion/Recursion Interview Problems/Recursion Problems - PRACTICE/02-String Permutation.ipynb
deleted file mode 100644
index fe3e00df..00000000
--- a/05-Recursion/Recursion Interview Problems/Recursion Problems - PRACTICE/02-String Permutation.ipynb	
+++ /dev/null
@@ -1,136 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {
-    "collapsed": true
-   },
-   "source": [
-    "# String Permutation\n",
-    "\n",
-    "## Problem Statement\n",
-    "\n",
-    "Given a string, write a function that uses recursion to output a list of all the possible permutations of that string.\n",
-    "\n",
-    "For example, given s='abc' the function should return ['abc', 'acb', 'bac', 'bca', 'cab', 'cba']\n",
-    "\n",
-    "*Note: If a character is repeated, treat each occurence as distinct, for example an input of 'xxx' would return a list with 6 \"versions\" of 'xxx'*\n",
-    "\n",
-    "\n",
-    "## Fill Out Your Solution Below\n",
-    "\n",
-    "Let's think about what the steps we need to take here are:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def permute(s):\n",
-    "    output = []\n",
-    "    \n",
-    "    if len(s) <= 1:\n",
-    "        output=[s]\n",
-    "    else:\n",
-    "        for i, let in enumerate(s):\n",
-    "            for perm in permute(s[:i]+s[i+1:]):\n",
-    "                output+=[let+perm]\n",
-    "    return output"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "['abc', 'acb', 'bac', 'bca', 'cab', 'cba']"
-      ]
-     },
-     "execution_count": 2,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "permute('abc')"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "____\n",
-    "# Test Your Solution"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "All test cases passed.\n"
-     ]
-    }
-   ],
-   "source": [
-    "\"\"\"\n",
-    "RUN THIS CELL TO TEST YOUR SOLUTION.\n",
-    "\"\"\"\n",
-    "\n",
-    "from nose.tools import assert_equal\n",
-    "\n",
-    "class TestPerm(object):\n",
-    "    \n",
-    "    def test(self,solution):\n",
-    "        \n",
-    "        assert_equal(sorted(solution('abc')),sorted(['abc', 'acb', 'bac', 'bca', 'cab', 'cba']))\n",
-    "        assert_equal(sorted(solution('dog')),sorted(['dog', 'dgo', 'odg', 'ogd', 'gdo', 'god']) )\n",
-    "        \n",
-    "        print ('All test cases passed.')\n",
-    "        \n",
-    "\n",
-    "\n",
-    "# Run Tests\n",
-    "t = TestPerm()\n",
-    "t.test(permute)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Good Luck!"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.8.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 1
-}
diff --git a/05-Recursion/Recursion Interview Problems/Recursion Problems - PRACTICE/03-Fibonacci Sequence.ipynb b/05-Recursion/Recursion Interview Problems/Recursion Problems - PRACTICE/03-Fibonacci Sequence.ipynb
deleted file mode 100644
index ade41e73..00000000
--- a/05-Recursion/Recursion Interview Problems/Recursion Problems - PRACTICE/03-Fibonacci Sequence.ipynb	
+++ /dev/null
@@ -1,258 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {
-    "collapsed": true
-   },
-   "source": [
-    "# Fibonnaci Sequence\n",
-    "\n",
-    "In this interview excercise we will begin to get a feel of having to solve a single problem multiple ways!\n",
-    "\n",
-    "## Problem Statement\n",
-    "\n",
-    "Implement a [Fibonnaci Sequence](https://en.wikipedia.org/wiki/Fibonacci_number) in three different ways:\n",
-    "\n",
-    "* Recursively\n",
-    "* Dynamically (Using Memoization to store results)\n",
-    "* Iteratively\n",
-    "___\n",
-    "#### Function Output\n",
-    "Your function will accept a number **n** and return the **nth** number of the fibonacci sequence\n",
-    "___\n",
-    "Remember that a fibonacci sequence: 0,1,1,2,3,5,8,13,21,... starts off with a base case checking to see if n = 0 or 1, then it returns 1. \n",
-    "\n",
-    "Else it returns fib(n-1)+fib(n+2).\n",
-    "\n",
-    "____\n",
-    "\n",
-    "## Fill Out Your Solutions Below"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Recursively\n",
-    "\n",
-    "Solve the problem using simple recursion."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def fib_rec(n):\n",
-    "    if n <=2:\n",
-    "        return int((n+1)/2)\n",
-    "    else:\n",
-    "        return fib_rec(n-1) + fib_rec(n-2)\n",
-    "    pass"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "55"
-      ]
-     },
-     "execution_count": 2,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "fib_rec(10)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Dynamically\n",
-    "\n",
-    "Implement the function using dynamic programming by using a cache to store results (memoization)."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "[None, None, None, None, None, None, None, None, None, None, None]\n"
-     ]
-    }
-   ],
-   "source": [
-    "# Instantiate Cache information\n",
-    "n = 10\n",
-    "cache = [None] * (n + 1)\n",
-    "print(cache)\n",
-    "\n",
-    "def fib_dyn(n):\n",
-    "    if cache[n] is not None:\n",
-    "         return cache[n]\n",
-    "    if n <=2:\n",
-    "        cache[n] = int((n+1)/2)\n",
-    "    else:\n",
-    "        cache[n] = fib_dyn(n-1) + fib_dyn(n-2)\n",
-    "    return cache[n]\n",
-    "    pass"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "55"
-      ]
-     },
-     "execution_count": 4,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "fib_dyn(10)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Iteratively\n",
-    "\n",
-    "Implement the solution with simple iteration."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def fib_iter(n):\n",
-    "    \n",
-    "    # Set starting point\n",
-    "    a = 0\n",
-    "    b = 1\n",
-    "    \n",
-    "    # Follow algorithm\n",
-    "    for i in range(n):\n",
-    "        a, b = b, a + b\n",
-    "    return a"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "28657"
-      ]
-     },
-     "execution_count": 6,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "fib_iter(23)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Test Your Solution\n",
-    "\n",
-    "Run the cell below to test your solutions, simply uncomment the solution functions you wish to test!"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Passed all tests.\n"
-     ]
-    }
-   ],
-   "source": [
-    "\"\"\"\n",
-    "UNCOMMENT THE CODE AT THE BOTTOM OF THIS CELL TO SELECT WHICH SOLUTIONS TO TEST.\n",
-    "THEN RUN THE CELL.\n",
-    "\"\"\"\n",
-    "\n",
-    "from nose.tools import assert_equal\n",
-    "\n",
-    "class TestFib(object):\n",
-    "    \n",
-    "    def test(self,solution):\n",
-    "        assert_equal(solution(10),55)\n",
-    "        assert_equal(solution(1),1)\n",
-    "        assert_equal(solution(23),28657)\n",
-    "        print ('Passed all tests.')\n",
-    "# UNCOMMENT FOR CORRESPONDING FUNCTION\n",
-    "t = TestFib()\n",
-    "\n",
-    "t.test(fib_rec)\n",
-    "#t.test(fib_dyn) # Note, will need to reset cache size for each test!\n",
-    "#t.test(fib_iter)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Conclusion\n",
-    "\n",
-    "Hopefully this interview question served as a good excercise in exploring recursion, dynamic programming, and iterative solutions for a single problem! Its good to work through all three because in an interview a common question may just begin with requesting a recursive solution and then checking to se if you can implement the other forms!"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.8.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 1
-}
diff --git a/05-Recursion/Recursion Interview Problems/Recursion Problems - PRACTICE/04-Coin Change.ipynb b/05-Recursion/Recursion Interview Problems/Recursion Problems - PRACTICE/04-Coin Change.ipynb
deleted file mode 100644
index 39cdb3f5..00000000
--- a/05-Recursion/Recursion Interview Problems/Recursion Problems - PRACTICE/04-Coin Change.ipynb	
+++ /dev/null
@@ -1,147 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {
-    "collapsed": true
-   },
-   "source": [
-    "# Coin Change Problem\n",
-    "\n",
-    "##### Note: This problem has multiple solutions and is a classic problem in showing issues with basic recursion. If you are having trouble with this problem (or it seems to be taking a long time to run in some cases) check out the Solution Notebook and fully read the conclusion link for a detailed description of the various ways to solve this problem!\n",
-    "\n",
-    "\n",
-    "This problem is common enough that is actually has its own [Wikipedia Entry](https://en.wikipedia.org/wiki/Change-making_problem)! \n",
-    "\n",
-    "____\n",
-    "## Problem Statement\n",
-    "Given a target amount **n** and a list (array) of distinct coin values, what's the fewest coins needed to make the change amount. \n",
-    "\n",
-    "For example:\n",
-    "\n",
-    "If n = 10 and coins = [1,5,10]. Then there are 4 possible ways to make change:\n",
-    "\n",
-    "* 1+1+1+1+1+1+1+1+1+1\n",
-    "\n",
-    "* 5 + 1+1+1+1+1\n",
-    "\n",
-    "* 5+5\n",
-    "\n",
-    "* 10\n",
-    "\n",
-    "With 1 coin being the minimum amount.\n",
-    "\n",
-    "    \n",
-    "## Solution\n",
-    "\n",
-    "Implement your solution below:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def rec_coin(target,coins):\n",
-    "    min_coins = target\n",
-    "    \n",
-    "    if target in coins:\n",
-    "        return 1\n",
-    "    else:\n",
-    "        for value in [ c for c in coins if c<= target]:\n",
-    "            num_coins = rec_coin(target-value, coins) + 1\n",
-    "            min_coins = min(num_coins, min_coins)\n",
-    "    return min_coins\n",
-    "    pass"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "rec_coin(10,[1,5]) #2"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "rec_coin(63,[1,5,10,25])"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Test Your Solution\n",
-    "\n",
-    "Run the cell below to test your function against some test cases. \n",
-    "\n",
-    "**Note that the TestCoins class only test functions with two parameter inputs, the list of coins and the target**"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "\"\"\"\n",
-    "RUN THIS CELL TO TEST YOUR FUNCTION.\n",
-    "NOTE: NON-DYNAMIC FUNCTIONS WILL TAKE A LONG TIME TO TEST. IF YOU BELIEVE YOU HAVE A SOLUTION \n",
-    "      GO CHECK THE SOLUTION NOTEBOOK INSTEAD OF RUNNING THIS!\n",
-    "\"\"\"\n",
-    "\n",
-    "from nose.tools import assert_equal\n",
-    "\n",
-    "class TestCoins(object):\n",
-    "    \n",
-    "    def check(self,solution):\n",
-    "        coins = [1,5,10,25]\n",
-    "        assert_equal(solution(45,coins),3)\n",
-    "        assert_equal(solution(23,coins),5)\n",
-    "        assert_equal(solution(74,coins),8)\n",
-    "        print ('Passed all tests.')\n",
-    "# Run Test\n",
-    "\n",
-    "test = TestCoins()\n",
-    "test.check(rec_coin)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## EXTRA\n",
-    "\n",
-    "Good luck and remember to read the solution notebook for this once you've think you have a solution!"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.8.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 1
-}
diff --git a/05-Recursion/Recursion Interview Problems/Recursion Problems/.ipynb_checkpoints/01-Reverse String -checkpoint.ipynb b/05-Recursion/Recursion Interview Problems/Recursion Problems/.ipynb_checkpoints/01-Reverse String -checkpoint.ipynb
deleted file mode 100644
index dad38cbb..00000000
--- a/05-Recursion/Recursion Interview Problems/Recursion Problems/.ipynb_checkpoints/01-Reverse String -checkpoint.ipynb	
+++ /dev/null
@@ -1,127 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Reverse a String\n",
-    "\n",
-    "This interview question requires you to reverse a string using recursion. Make sure to think of the base case here.\n",
-    "\n",
-    "Again, make sure you use *recursion* to accomplish this. **Do not slice (e.g. string[::-1]) or use iteration, there must be a recursive call for the function.**\n",
-    "\n",
-    "____\n",
-    "\n",
-    "### Fill out your solution below"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def reverse(s):\n",
-    "    \n",
-    "    pass"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 10,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "'dlrow olleh'"
-      ]
-     },
-     "execution_count": 10,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "reverse('hello world')"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {
-    "collapsed": true
-   },
-   "source": [
-    "# Test Your Solution\n",
-    "\n",
-    "Run the cell below to test your solution against the following cases:\n",
-    "\n",
-    "    string = 'hello'\n",
-    "    string = 'hello world'\n",
-    "    string = '123456789'"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 13,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "PASSED ALL TEST CASES!\n"
-     ]
-    }
-   ],
-   "source": [
-    "'''\n",
-    "RUN THIS CELL TO TEST YOUR FUNCTION AGAINST SOME TEST CASES\n",
-    "'''\n",
-    "\n",
-    "from nose.tools import assert_equal\n",
-    "\n",
-    "class TestReverse(object):\n",
-    "    \n",
-    "    def test_rev(self,solution):\n",
-    "        assert_equal(solution('hello'),'olleh')\n",
-    "        assert_equal(solution('hello world'),'dlrow olleh')\n",
-    "        assert_equal(solution('123456789'),'987654321')\n",
-    "        \n",
-    "        print('PASSED ALL TEST CASES!')\n",
-    "        \n",
-    "# Run Tests\n",
-    "test = TestReverse()\n",
-    "test.test_rev(reverse)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "**Good Luck!**"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.8.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 1
-}
diff --git a/05-Recursion/Recursion Interview Problems/Recursion Problems/.ipynb_checkpoints/02-String Permutation-checkpoint.ipynb b/05-Recursion/Recursion Interview Problems/Recursion Problems/.ipynb_checkpoints/02-String Permutation-checkpoint.ipynb
deleted file mode 100644
index b8548e71..00000000
--- a/05-Recursion/Recursion Interview Problems/Recursion Problems/.ipynb_checkpoints/02-String Permutation-checkpoint.ipynb	
+++ /dev/null
@@ -1,131 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {
-    "collapsed": true
-   },
-   "source": [
-    "# String Permutation\n",
-    "\n",
-    "## Problem Statement\n",
-    "\n",
-    "Given a string, write a function that uses recursion to output a list of all the possible permutations of that string.\n",
-    "\n",
-    "For example, given s='abc' the function should return ['abc', 'acb', 'bac', 'bca', 'cab', 'cba']\n",
-    "\n",
-    "*Note: If a character is repeated, treat each occurence as distinct, for example an input of 'xxx' would return a list with 6 \"versions\" of 'xxx'*\n",
-    "\n",
-    "\n",
-    "## Fill Out Your Solution Below\n",
-    "\n",
-    "Let's think about what the steps we need to take here are:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "def permute(s):\n",
-    "    \n",
-    "    pass"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 24,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "['abc', 'acb', 'bac', 'bca', 'cab', 'cba']"
-      ]
-     },
-     "execution_count": 24,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "permute('abc')"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "____\n",
-    "# Test Your Solution"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 25,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "All test cases passed.\n"
-     ]
-    }
-   ],
-   "source": [
-    "\"\"\"\n",
-    "RUN THIS CELL TO TEST YOUR SOLUTION.\n",
-    "\"\"\"\n",
-    "\n",
-    "from nose.tools import assert_equal\n",
-    "\n",
-    "class TestPerm(object):\n",
-    "    \n",
-    "    def test(self,solution):\n",
-    "        \n",
-    "        assert_equal(sorted(solution('abc')),sorted(['abc', 'acb', 'bac', 'bca', 'cab', 'cba']))\n",
-    "        assert_equal(sorted(solution('dog')),sorted(['dog', 'dgo', 'odg', 'ogd', 'gdo', 'god']) )\n",
-    "        \n",
-    "        print('All test cases passed.')\n",
-    "        \n",
-    "\n",
-    "\n",
-    "# Run Tests\n",
-    "t = TestPerm()\n",
-    "t.test(permute)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Good Luck!"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.8.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 1
-}
diff --git a/05-Recursion/Recursion Interview Problems/Recursion Problems/.ipynb_checkpoints/03-Fibonacci Sequence-checkpoint.ipynb b/05-Recursion/Recursion Interview Problems/Recursion Problems/.ipynb_checkpoints/03-Fibonacci Sequence-checkpoint.ipynb
deleted file mode 100644
index d946ac97..00000000
--- a/05-Recursion/Recursion Interview Problems/Recursion Problems/.ipynb_checkpoints/03-Fibonacci Sequence-checkpoint.ipynb	
+++ /dev/null
@@ -1,236 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {
-    "collapsed": true
-   },
-   "source": [
-    "# Fibonnaci Sequence\n",
-    "\n",
-    "In this interview excercise we will begin to get a feel of having to solve a single problem multiple ways!\n",
-    "\n",
-    "## Problem Statement\n",
-    "\n",
-    "Implement a [Fibonnaci Sequence](https://en.wikipedia.org/wiki/Fibonacci_number) in three different ways:\n",
-    "\n",
-    "* Recursively\n",
-    "* Dynamically (Using Memoization to store results)\n",
-    "* Iteratively\n",
-    "___\n",
-    "#### Function Output\n",
-    "Your function will accept a number **n** and return the **nth** number of the fibonacci sequence\n",
-    "___\n",
-    "Remember that a fibonacci sequence: 0,1,1,2,3,5,8,13,21,... starts off with a base case checking to see if n = 0 or 1, then it returns 1. \n",
-    "\n",
-    "Else it returns fib(n-1)+fib(n+2).\n",
-    "\n",
-    "____\n",
-    "\n",
-    "## Fill Out Your Solutions Below"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Recursively\n",
-    "\n",
-    "Solve the problem using simple recursion."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def fib_rec(n):\n",
-    "    \n",
-    "    pass"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "55"
-      ]
-     },
-     "execution_count": 6,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "fib_rec(10)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Dynamically\n",
-    "\n",
-    "Implement the function using dynamic programming by using a cache to store results (memoization)."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 8,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Instantiate Cache information\n",
-    "n = 10\n",
-    "cache = [None] * (n + 1)\n",
-    "\n",
-    "\n",
-    "def fib_dyn(n):\n",
-    "    \n",
-    "    pass"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 9,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "55"
-      ]
-     },
-     "execution_count": 9,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "fib_dyn(10)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Iteratively\n",
-    "\n",
-    "Implement the solution with simple iteration."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 11,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "def fib_iter(n):\n",
-    "    \n",
-    "    pass"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 14,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "28657"
-      ]
-     },
-     "execution_count": 14,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "fib_iter(23)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Test Your Solution\n",
-    "\n",
-    "Run the cell below to test your solutions, simply uncomment the solution functions you wish to test!"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 19,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Passed all tests.\n"
-     ]
-    }
-   ],
-   "source": [
-    "\"\"\"\n",
-    "UNCOMMENT THE CODE AT THE BOTTOM OF THIS CELL TO SELECT WHICH SOLUTIONS TO TEST.\n",
-    "THEN RUN THE CELL.\n",
-    "\"\"\"\n",
-    "\n",
-    "from nose.tools import assert_equal\n",
-    "\n",
-    "class TestFib(object):\n",
-    "    \n",
-    "    def test(self,solution):\n",
-    "        assert_equal(solution(10),55)\n",
-    "        assert_equal(solution(1),1)\n",
-    "        assert_equal(solution(23),28657)\n",
-    "        print('Passed all tests.')\n",
-    "# UNCOMMENT FOR CORRESPONDING FUNCTION\n",
-    "t = TestFib()\n",
-    "\n",
-    "t.test(fib_rec)\n",
-    "#t.test(fib_dyn) # Note, will need to reset cache size for each test!\n",
-    "#t.test(fib_iter)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Conclusion\n",
-    "\n",
-    "Hopefully this interview question served as a good excercise in exploring recursion, dynamic programming, and iterative solutions for a single problem! Its good to work through all three because in an interview a common question may just begin with requesting a recursive solution and then checking to se if you can implement the other forms!"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.8.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 1
-}
diff --git a/05-Recursion/Recursion Interview Problems/Recursion Problems/.ipynb_checkpoints/04-Coin Change-checkpoint.ipynb b/05-Recursion/Recursion Interview Problems/Recursion Problems/.ipynb_checkpoints/04-Coin Change-checkpoint.ipynb
deleted file mode 100644
index 29ed5698..00000000
--- a/05-Recursion/Recursion Interview Problems/Recursion Problems/.ipynb_checkpoints/04-Coin Change-checkpoint.ipynb	
+++ /dev/null
@@ -1,143 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {
-    "collapsed": true
-   },
-   "source": [
-    "# Coin Change Problem\n",
-    "\n",
-    "##### Note: This problem has multiple solutions and is a classic problem in showing issues with basic recursion. If you are having trouble with this problem (or it seems to be taking a long time to run in some cases) check out the Solution Notebook and fully read the conclusion link for a detailed description of the various ways to solve this problem!\n",
-    "\n",
-    "\n",
-    "This problem is common enough that is actually has its own [Wikipedia Entry](https://en.wikipedia.org/wiki/Change-making_problem)! \n",
-    "\n",
-    "____\n",
-    "## Problem Statement\n",
-    "Given a target amount **n** and a list (array) of distinct coin values, what's the fewest coins needed to make the change amount. \n",
-    "\n",
-    "For example:\n",
-    "\n",
-    "If n = 10 and coins = [1,5,10]. Then there are 4 possible ways to make change:\n",
-    "\n",
-    "* 1+1+1+1+1+1+1+1+1+1\n",
-    "\n",
-    "* 5 + 1+1+1+1+1\n",
-    "\n",
-    "* 5+5\n",
-    "\n",
-    "* 10\n",
-    "\n",
-    "With 1 coin being the minimum amount.\n",
-    "\n",
-    "    \n",
-    "## Solution\n",
-    "\n",
-    "Implement your solution below:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "def rec_coin(target,coins):\n",
-    "    \n",
-    "    pass"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "2"
-      ]
-     },
-     "execution_count": 3,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "rec_coin(10,[1,5])"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Test Your Solution\n",
-    "\n",
-    "Run the cell below to test your function against some test cases. \n",
-    "\n",
-    "**Note that the TestCoins class only test functions with two parameter inputs, the list of coins and the target**"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "\"\"\"\n",
-    "RUN THIS CELL TO TEST YOUR FUNCTION.\n",
-    "NOTE: NON-DYNAMIC FUNCTIONS WILL TAKE A LONG TIME TO TEST. IF YOU BELIEVE YOU HAVE A SOLUTION \n",
-    "      GO CHECK THE SOLUTION NOTEBOOK INSTEAD OF RUNNING THIS!\n",
-    "\"\"\"\n",
-    "\n",
-    "from nose.tools import assert_equal\n",
-    "\n",
-    "class TestCoins(object):\n",
-    "    \n",
-    "    def check(self,solution):\n",
-    "        coins = [1,5,10,25]\n",
-    "        assert_equal(solution(45,coins),3)\n",
-    "        assert_equal(solution(23,coins),5)\n",
-    "        assert_equal(solution(74,coins),8)\n",
-    "        print('Passed all tests.')\n",
-    "# Run Test\n",
-    "\n",
-    "test = TestCoins()\n",
-    "test.check(rec_coin)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## EXTRA\n",
-    "\n",
-    "Good luck and remember to read the solution notebook for this once you've think you have a solution!"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.8.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 1
-}
diff --git a/05-Recursion/Recursion Interview Problems/Recursion Problems/.ipynb_checkpoints/Recursion Problem 2 - String Permutations-checkpoint.ipynb b/05-Recursion/Recursion Interview Problems/Recursion Problems/.ipynb_checkpoints/Recursion Problem 2 - String Permutations-checkpoint.ipynb
deleted file mode 100644
index d4218415..00000000
--- a/05-Recursion/Recursion Interview Problems/Recursion Problems/.ipynb_checkpoints/Recursion Problem 2 - String Permutations-checkpoint.ipynb	
+++ /dev/null
@@ -1,34 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": []
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 2",
-   "language": "python",
-   "name": "python2"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 2
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 0
-}
diff --git a/06-Trees/Trees Interview Problems - PRACTICE/.ipynb_checkpoints/01-Binary Search Tree Check-checkpoint.ipynb b/06-Trees/Trees Interview Problems - PRACTICE/.ipynb_checkpoints/01-Binary Search Tree Check-checkpoint.ipynb
deleted file mode 100644
index 4653973f..00000000
--- a/06-Trees/Trees Interview Problems - PRACTICE/.ipynb_checkpoints/01-Binary Search Tree Check-checkpoint.ipynb	
+++ /dev/null
@@ -1,82 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Binary Search Tree Check \n",
-    "\n",
-    "## Problem Statement\n",
-    "\n",
-    "Given a binary tree, check whether it’s a binary search tree or not.\n",
-    "\n",
-    "** Again, no solution cell, just worry about your code making sense logically. Hint: Think about tree traversals. **\n",
-    "\n",
-    "## Solution\n",
-    "\n",
-    "Fill out your solution below:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Definition for a binary tree node.\n",
-    "class TreeNode(object):\n",
-    "    def __init__(self, x):\n",
-    "        self.val = x\n",
-    "        self.left = None\n",
-    "        self.right = None"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "class Solution(object):\n",
-    "    def isValidBST(self, root):\n",
-    "        return self.is_valid(root, -math.inf, math.inf)\n",
-    "    \n",
-    "    def is_valid(self, root, min_val, max_val):\n",
-    "        if root is None:\n",
-    "            return True\n",
-    "        else:\n",
-    "            return ( root.val > min_val and root.val < max_val and\n",
-    "                self.is_valid(root.left, min_val, root.val) and\n",
-    "                self.is_valid(root.right, root.val, max_val) )"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "This is a classic interview problem, so feel free to just Google search \"Validate BST\" for more information on this problem!"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.8.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 1
-}
diff --git a/06-Trees/Trees Interview Problems - PRACTICE/.ipynb_checkpoints/02-Tree Level Order Print-checkpoint.ipynb b/06-Trees/Trees Interview Problems - PRACTICE/.ipynb_checkpoints/02-Tree Level Order Print-checkpoint.ipynb
deleted file mode 100644
index a85dd6a6..00000000
--- a/06-Trees/Trees Interview Problems - PRACTICE/.ipynb_checkpoints/02-Tree Level Order Print-checkpoint.ipynb	
+++ /dev/null
@@ -1,119 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Tree Level Order Print \n",
-    "\n",
-    "Given a binary tree of integers, print it in level order. The output will contain space between the numbers in the same level, and new line between different levels. For example, if the tree is: \n",
-    "___\n",
-    "![title](tree_print.png)\n",
-    "___\n",
-    "The output should be: \n",
-    "\n",
-    "    1 \n",
-    "    2 3 \n",
-    "    4 5 6"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Solution\n",
-    "\n",
-    "Fill out your solution below:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "class Node:\n",
-    "    def __init__(self, val=None):\n",
-    "        self.left = None\n",
-    "        self.right = None\n",
-    "        self.val =  val "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "from collections import deque\n",
-    "def levelOrderPrint(tree):\n",
-    "    if tree is None:\n",
-    "        return\n",
-    "\n",
-    "    queue = deque()\n",
-    "    queue.append(tree)\n",
-    "    while len(queue) != 0:\n",
-    "        temp = deque()\n",
-    "        while len(queue) != 0:\n",
-    "            node = queue.pop()\n",
-    "            print(str(node.val) + ' ')\n",
-    "            if node.left is not None:\n",
-    "                temp.append(tree.left)\n",
-    "            if node.right is not None:\n",
-    "                temp.append(tree.right)\n",
-    "            queue = temp"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "2 \n",
-      "3 \n",
-      "1 \n"
-     ]
-    }
-   ],
-   "source": [
-    "root = Node(2)\n",
-    "root.left = Node(1)\n",
-    "root.right = Node(3)\n",
-    "\n",
-    "levelOrderPrint(root)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.8.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 1
-}
diff --git a/06-Trees/Trees Interview Problems - PRACTICE/.ipynb_checkpoints/03-Trim a Binary Search Tree -checkpoint.ipynb b/06-Trees/Trees Interview Problems - PRACTICE/.ipynb_checkpoints/03-Trim a Binary Search Tree -checkpoint.ipynb
deleted file mode 100644
index d3f5b43d..00000000
--- a/06-Trees/Trees Interview Problems - PRACTICE/.ipynb_checkpoints/03-Trim a Binary Search Tree -checkpoint.ipynb	
+++ /dev/null
@@ -1,83 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Trim a Binary Search Tree \n",
-    "\n",
-    "## Problem Statement\n",
-    "\n",
-    "Given the root of a binary search tree and 2 numbers min and max, trim the tree such that all the numbers in the new tree are between min and max (inclusive). The resulting tree should still be a valid binary search tree. So, if we get this tree as input:\n",
-    "___\n",
-    "\n",
-    "![title](bst1.png)\n",
-    "___\n",
-    "and we’re given **min value as 5** and **max value as 13**, then the resulting binary search tree should be: \n",
-    "___\n",
-    "![title](bst_trim.png)\n",
-    "___\n",
-    "We should remove all the nodes whose value is not between min and max. \n",
-    "\n",
-    "___\n",
-    "** Feel free to reference the lecture on Binary Search Tree for the node class, but what it more important here is the logic of your function. In which case your function should be in the form:**"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# 669. Trim a Binary Search Tree\n",
-    "class Solution:\n",
-    "    def trimBST(self, root, min_val, max_val):\n",
-    "        \"\"\"\n",
-    "        :type root: TreeNode\n",
-    "        :type min_val: int\n",
-    "        :type max_val: int\n",
-    "        :rtype: TreeNode\n",
-    "        \"\"\"\n",
-    "        if not root:\n",
-    "            return None\n",
-    "        if root.val < min_val:\n",
-    "            return self.trimBST(root.right, min_val, max_val)\n",
-    "        if root.val > max_val:\n",
-    "            return self.trimBST(root.left, min_val, max_val)\n",
-    "        root.left = self.trimBST(root.left, min_val, max_val)\n",
-    "        root.right = self.trimBST(root.right, min_val, max_val)\n",
-    "        return root"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "** There is no solution cell because the nature of the code should be more logical and a test would essentially give away the answer. Just focus your answer to fill out the logic of the solution using the methods described above **\n",
-    "\n",
-    "## Best of luck!"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.8.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 1
-}
diff --git a/06-Trees/Trees Interview Problems - PRACTICE/01-Binary Search Tree Check.ipynb b/06-Trees/Trees Interview Problems - PRACTICE/01-Binary Search Tree Check.ipynb
deleted file mode 100644
index 4653973f..00000000
--- a/06-Trees/Trees Interview Problems - PRACTICE/01-Binary Search Tree Check.ipynb	
+++ /dev/null
@@ -1,82 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Binary Search Tree Check \n",
-    "\n",
-    "## Problem Statement\n",
-    "\n",
-    "Given a binary tree, check whether it’s a binary search tree or not.\n",
-    "\n",
-    "** Again, no solution cell, just worry about your code making sense logically. Hint: Think about tree traversals. **\n",
-    "\n",
-    "## Solution\n",
-    "\n",
-    "Fill out your solution below:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Definition for a binary tree node.\n",
-    "class TreeNode(object):\n",
-    "    def __init__(self, x):\n",
-    "        self.val = x\n",
-    "        self.left = None\n",
-    "        self.right = None"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "class Solution(object):\n",
-    "    def isValidBST(self, root):\n",
-    "        return self.is_valid(root, -math.inf, math.inf)\n",
-    "    \n",
-    "    def is_valid(self, root, min_val, max_val):\n",
-    "        if root is None:\n",
-    "            return True\n",
-    "        else:\n",
-    "            return ( root.val > min_val and root.val < max_val and\n",
-    "                self.is_valid(root.left, min_val, root.val) and\n",
-    "                self.is_valid(root.right, root.val, max_val) )"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "This is a classic interview problem, so feel free to just Google search \"Validate BST\" for more information on this problem!"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.8.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 1
-}
diff --git a/06-Trees/Trees Interview Problems - PRACTICE/02-Tree Level Order Print.ipynb b/06-Trees/Trees Interview Problems - PRACTICE/02-Tree Level Order Print.ipynb
deleted file mode 100644
index a85dd6a6..00000000
--- a/06-Trees/Trees Interview Problems - PRACTICE/02-Tree Level Order Print.ipynb	
+++ /dev/null
@@ -1,119 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Tree Level Order Print \n",
-    "\n",
-    "Given a binary tree of integers, print it in level order. The output will contain space between the numbers in the same level, and new line between different levels. For example, if the tree is: \n",
-    "___\n",
-    "![title](tree_print.png)\n",
-    "___\n",
-    "The output should be: \n",
-    "\n",
-    "    1 \n",
-    "    2 3 \n",
-    "    4 5 6"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Solution\n",
-    "\n",
-    "Fill out your solution below:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "class Node:\n",
-    "    def __init__(self, val=None):\n",
-    "        self.left = None\n",
-    "        self.right = None\n",
-    "        self.val =  val "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "from collections import deque\n",
-    "def levelOrderPrint(tree):\n",
-    "    if tree is None:\n",
-    "        return\n",
-    "\n",
-    "    queue = deque()\n",
-    "    queue.append(tree)\n",
-    "    while len(queue) != 0:\n",
-    "        temp = deque()\n",
-    "        while len(queue) != 0:\n",
-    "            node = queue.pop()\n",
-    "            print(str(node.val) + ' ')\n",
-    "            if node.left is not None:\n",
-    "                temp.append(tree.left)\n",
-    "            if node.right is not None:\n",
-    "                temp.append(tree.right)\n",
-    "            queue = temp"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "2 \n",
-      "3 \n",
-      "1 \n"
-     ]
-    }
-   ],
-   "source": [
-    "root = Node(2)\n",
-    "root.left = Node(1)\n",
-    "root.right = Node(3)\n",
-    "\n",
-    "levelOrderPrint(root)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.8.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 1
-}
diff --git a/06-Trees/Trees Interview Problems - PRACTICE/Node.py b/06-Trees/Trees Interview Problems - PRACTICE/Node.py
deleted file mode 100644
index 348c9ac4..00000000
--- a/06-Trees/Trees Interview Problems - PRACTICE/Node.py	
+++ /dev/null
@@ -1,5 +0,0 @@
-class Node(object):
-    def __init__(self, val=None):
-        self.left = None
-        self.right = None
-        self.val =  val 
\ No newline at end of file
diff --git a/06-Trees/Trees Interview Problems - SOLUTIONS/.ipynb_checkpoints/01-Binary Search Tree Check - SOLUTION-checkpoint.ipynb b/06-Trees/Trees Interview Problems - SOLUTIONS/.ipynb_checkpoints/01-Binary Search Tree Check - SOLUTION-checkpoint.ipynb
deleted file mode 100644
index 12b720fc..00000000
--- a/06-Trees/Trees Interview Problems - SOLUTIONS/.ipynb_checkpoints/01-Binary Search Tree Check - SOLUTION-checkpoint.ipynb	
+++ /dev/null
@@ -1,155 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Binary Search Tree Check - SOLUTION\n",
-    "\n",
-    "## Problem Statement\n",
-    "\n",
-    "Given a binary tree, check whether it’s a binary search tree or not.\n",
-    "\n",
-    "** Again, no solution cell, just worry about your code making sense logically. Hint: Think about tree traversals. **\n",
-    "\n",
-    "## Solution\n",
-    "\n",
-    "Here is a simple solution- If a tree is a binary search tree, then traversing the tree inorder should lead to sorted order of the values in the tree. So, we can perform an inorder traversal and check whether the node values are sorted or not. "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [
-    {
-     "ename": "NameError",
-     "evalue": "name 'tree' is not defined",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
-      "\u001b[0;32m<ipython-input-3-a22266754f2e>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m     10\u001b[0m     \u001b[0;32mreturn\u001b[0m \u001b[0mtree_vals\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0msorted\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtree_vals\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     11\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 12\u001b[0;31m \u001b[0minorder\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtree\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     13\u001b[0m \u001b[0msort_check\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtree_vals\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;31mNameError\u001b[0m: name 'tree' is not defined"
-     ]
-    }
-   ],
-   "source": [
-    "tree_vals = []\n",
-    "\n",
-    "def inorder(tree):\n",
-    "    if tree != None:\n",
-    "        inorder(tree.getLeftChild())\n",
-    "        tree_vals.append(tree.getRootVal())\n",
-    "        inorder(tree.getRightChild())\n",
-    "        \n",
-    "def sort_check(tree_vals):\n",
-    "    return tree_vals == sorted(tree_vals)\n",
-    "\n",
-    "inorder(tree)\n",
-    "sort_check(tree_vals)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Another classic solution is to keep track of the minimum and maximum values a node can take. And at each node we will check whether its value is between the min and max values it’s allowed to take. The root can take any value between negative infinity and positive infinity. At any node, its left child should be smaller than or equal than its own value, and similarly the right child should be larger than or equal to. So during recursion, we send the current value as the new max to our left child and send the min as it is without changing. And to the right child, we send the current value as the new min and send the max without changing."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "True\n",
-      "False\n"
-     ]
-    }
-   ],
-   "source": [
-    "class Node:\n",
-    "    def __init__(self, k, val):\n",
-    "        self.key = k\n",
-    "        self.value = val\n",
-    "        self.left = None\n",
-    "        self.right = None\n",
-    "\n",
-    "def tree_max(node):\n",
-    "    if not node:\n",
-    "        return float(\"-inf\")\n",
-    "    maxleft  = tree_max(node.left)\n",
-    "    maxright = tree_max(node.right)\n",
-    "    return max(node.key, maxleft, maxright)\n",
-    "\n",
-    "def tree_min(node):\n",
-    "    if not node:\n",
-    "        return float(\"inf\")\n",
-    "    minleft  = tree_min(node.left)\n",
-    "    minright = tree_min(node.right)\n",
-    "    return min(node.key, minleft, minright)\n",
-    "\n",
-    "def verify(node):\n",
-    "    if not node:\n",
-    "        return True\n",
-    "    if (tree_max(node.left) <= node.key <= tree_min(node.right) and\n",
-    "        verify(node.left) and verify(node.right)):\n",
-    "        return True\n",
-    "    else:\n",
-    "        return False\n",
-    "\n",
-    "root= Node(10, \"Hello\")\n",
-    "root.left = Node(5, \"Five\")\n",
-    "root.right= Node(30, \"Thirty\")\n",
-    "\n",
-    "print(verify(root)) # prints True, since this tree is valid\n",
-    "\n",
-    "root = Node(10, \"Ten\")\n",
-    "root.right = Node(20, \"Twenty\")\n",
-    "root.left = Node(5, \"Five\")\n",
-    "root.left.right = Node(15, \"Fifteen\")\n",
-    "\n",
-    "print(verify(root)) # prints False, since 15 is to the left of 10"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "This is a classic interview problem, so feel free to just Google search \"Validate BST\" for more information on this problem!"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Good Job!"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.8.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 1
-}
diff --git a/06-Trees/Trees Interview Problems - SOLUTIONS/bst1.png b/06-Trees/Trees Interview Problems - SOLUTIONS/bst1.png
deleted file mode 100644
index f4a93b03f362f40cc5c52f7a251c36a70131c638..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 61595
zcmY&;Q*@?H({*fPCbn&3f{AV0c5;UkTX&3!ZQHhO+nHEjo_DSP;9uA3lk1?myQ-^d
z*RBdzkP}CQ!+`?<0YQ|M5LE&J0k!>JI51G(f7U3Vv_U|As#=POC`gKk5Ggp>n_1eJ
zf`E8{E&|LoFvjcMr)~6B$QiMdGo7cf$s`j?4l*^JP(VRp;lLtbsNiTwXu{CQ!vjbN
zL@`uE$-^KNnTe>Vu5*qvzkIU2uA866*WYZW?aRu_y^45L7D0Mi_wX?>p;*CC2vDW#
zIav$ZTG|vHl|h7k5q_a7bodzOA=ubf_Izn|$r9B`0O;!T&;2mpvaw}+KbgBgel@|Y
z4>JyN;`MTZ{6X}|x2Ofl;Xrw{5VpYxn0-Q-kP?9k+bPAzdxoyQGRWS>3jCzsx3Gr*
z2>}P;>ulzvM*#sc2^SB&L6LY$41pM=k-i6zf*3do)l}KXH4}nl9)?A^cz7Hjbp;wY
zW`E^T-gFz-+h_Z^dU`>BMt<?Z&!L^JaB)%4Oz@sQO@58j@X;Xw^t<6%mFC5RF1KnC
zAzv6@0l3;E>I4U0v@{pZlPK6><AO%9;KJ*@bEpFCwx2_7plr%s5Tv%m>m?ff_)#6K
zR75mOOSkr(T267Zb`bNV|BOGGDZWm)(f4d?jagZQ?TZFiuZ3!u0^W@F@MTb<Ca6wi
zo#OKEw^{T*-lM;Y`W=4Nl)eyRr*d;Gc^5OP4IBmJ#wYU{|9TBj^(Th`|0F`1iQ@qq
z0iiX3i2ABB{RMI(#&rwB2o)6241*-DB}!sTf-3W&J$2HpDC5@*FS_=zjZ@n5Gd}vQ
zd0MbjF<#(n78~Im<sEqw_tZGFnY9gTdS~M6-%IR3OxJdPynUQLaQoF<#zL`yL<`b3
zY)R-mj~xV4R>&C?yMaXu-}cXvh&3@Eq5<3%Q9Ae+_I}Lg&C#FdyAd+kVxpk-`wM|D
z2mg8d(;dI-uXUJTHzQK(V}hh0L`#CGn$RFvzs1OB1Hc1~N})!^9#V?Z#h=Hdlrax6
zG2B<awiEyIpHCZfuY7Gq5{>nL&5&S%%&e>$BYlP*J%IjcLNQ5W`3j|2g8~7++YzDk
z-nY2*`<Ls^fb~oCQCO`9_W2JAiuhJNi2|h7FTzw1cmr@ef7+X0NAf5v(3V7?1px?g
z;BY;P4tOemtQ6oG0%&uv8~hm@;1L20nc#+c;h7MRdU<Q$y8LBf0vu3ajr_TYeI+1(
z0T{%t5<gk|D~P;CFz*7ua$%^Dq=J!zAr)X%K>r4x<ytF1yTIcF5C~1@Vq3tzB7FQ&
zWa6KIyYI`Z!K*;R?Mbd7?LbBf%HK8Nf@cUC-^F=m*?`*)2;Ft`!10By&IO4;`Yi;T
zW1?_IMVg2>hKTtmFLzGirG!NV@r<Sn-Sy`K7JIaokdL_WES&|77F1es`;6C2*NKG-
z&MQ+Jm=Ee^L|341RF+V6o}Zxv7C{t-7`kzcV=sge8WVRa%LJqhycq~<Oxmz_zfmnl
z1(q6OJN$VBVsDWFva!4&ZmrLX_zL$04pQj;faI==0|%GA4jluuJDNN8awKm5<UYrZ
zi-&Iq$ri?SNNkV!-uO+*4gWLqJD6`mj|2*_1)2?vZxER<>MmYx!c82L{0bQh>R=d;
zsJIafbD)M?hZG)>9BTK>>@4h@<;?0V<b2_L(mea@W`0KQo7}VvqoloPcZxtvS6o+2
zSL`SE$4|6yGO0Pr)_5by-~!J%+d0}fsI*`@X%5P_c;q<R(aHnnJ7_4dK$t+#Kxh#b
z5$t}~kWd8LC<rk{F;X%6A+{l@A*7+=C~Fxy88{gZnO&LCGzMlwW_p(W)Zb~csUNBJ
zsn%)stkbnQ8bKOS8s3^nb(zN425IJlbrH4c^&vGsYV-{84RuY8&6LfYjigP=P0r0S
zigKv(Fr1~Z3d81P(sJGnj!iiYp3J9>yT=5Ex~6(3bEkKw<ELjwn5S+76UHq2u*Wnf
zR)=1I@RQ`Dro%}+uIbi)tb;R>v?JG3c(dEnynxV0@dvfXlDnmcfS&rH@nP#B+(9qk
z6UQ|iVX%BQW6(90KJqr2AbdB2AJZ4}r{1S24esI}95MRht=uZO8<-2UFmx_jCXyOz
zDvB0yCgmE%n?e*t30<mRC#eeEGi6NOHH{8s4uLlXFhZibWD*BKBf9afip+}Uvm$x6
zd67nVMn^`YMu<krdt{FMw-&cJx0Glau&&_>;mT<Fz?y;xlQ@&Y0}*NsDODPcv&02b
z%czDBmmrtuf6CaN*x+d%X;5j{nh_OAHbpiW7tq{>+?=gOt?f?T2dW4C2h*e73I=L5
z3L`2fD$f;Er6=VYrO%?_1tw)Kze;sa6Y3J{y6-Fx&1vXpmS{p%UR8a|%1Y-{s>>Kk
zVaoxfs-^s@=BmxAf)&2<;Q59nj=%Dy_uGrg%qq<4kHqP*D-|lGwIbJy);`yc8;)Hd
zTsvH+&ScJ&TsvK+Pvp*FPXOnOCzEIJr*EhFGx|(%OfbwXHaEQrTXAM9MlE&)mJQn_
z(^#f9W|{VUMtwGQ!v%c@Nu@cKIhKK^WoZ$b5t`c!6Aa_JgY8-A_vvrx%Nf;LC7Kt_
zEyj}erv{pa+}7llzw6H$LMrJiq$`WvA}?ZAHqF3oCTyi__0}R*#n!hP`qx(1RM$Ei
z)obJ%yU%;}c1|5ecQf*HjpO$t`S-l`9{=$&b6vWYxof#|xG^|pxy3uLUb9?`9pYT9
zU4=M1JGJjL9og;qZut0Ck8NdkqQ4D1l3(H8?cBlKpFEn}{Cn)U3chuEY&&Q?wB6U;
z?>sWTQa-Fdvp(?Zd-|K*wawg3?uY+{_7x2B_Yd&T;IF?ub3KJbojG+mNe1~l5j*n4
z?ZRauOCq+y=fchXnf*BZx4U|~_^1=8xv1_WFC^%sguf+!ABxI~TZ<9K>J@6vF%0}-
zeluD#)<iwN5z6$?aodpTu=6&37Yk7Cdk`%e2pfQw1WE!V;YW)`kCkVryQn`(!Ah}9
zS>F&Jvt<M4yysq#Vem(In6mAXeVGGOQPXeLi@ePwkCp?cpn2;(>gVc@>L%-OokqAD
zGK)hSkW`QJoCBT3?-K9ijy}eo#=G^2^cB=<TvwiMK1kuj$6{@MLSe*Ul>YcD5W$b*
z=#r;V{cHrQEa^0=Q|fAY&U{w;Zmb{cML<ZS%up^M#E0r`)V5L9@lkLynorqG6F@UW
zi%5%G?ooDEwj}@Z7l*gf@70Rk-c{%!mbKSB>n}U+x)!OHvRY(ibhVGy)al0N{n_z3
zqk}G0%S}B)p51HS#~|;6)x$%I2LmR1527QYbjp(+L8p;-;YZoTVtsVtPyodY#&U!A
z<oTLty{Yq;>%+Oaeb`2cm7(RReXv%7mil_YTG6`hI-#qE%RhH3*QSlcPR(WV8P(Ov
zCEW#)i_x>yE7>dE^T;#pR!k4;s_pu(LEDsd`Ky&pZ0s7m7ETKukGHDc%`GpUr?wEb
zP@b#uZF^ibd^?|<yPQMDq;4%S6>%-XGJYGvMXXEjf{zk&8T*SR<Ne`4`H5_V*lPkm
zwp#PO)%i~O;_MfGZEu3d_j!}|gQLiQ)DtS7(nBex)gF3_9myV>T$MbV{KkCu21|yI
zgPGSG?VQZ^O-J=xz^!EZ8^#4j8U{D|G=^w~cE;)MNYCb0;C<Gq&m#0KGN-_qpLfk!
z9nV+zqvhNEE@P(tSr?7prGCAx*8~0g`jO`+)bY^Z_1X6Ir^9D$O<GOxI?WgLZT)@9
zVRh-{&E+MPefpEVK1lF_!!Hn!?DIIRKFn}@F;F7l*8oO0d7J~Jun9_(2p=T;0C;L3
zS-f*Q@==iSu4E$j8OIvJ2LyVIY2V|%(rp_A-Y$7<U{yp{n2LCok%>v2$&@j+k#XLI
zY4=3<(cRJ2QQ;l_(KgBrdM3seJqsBHr5@F-+?Y<A)=@@g{5xu}A~~=wS1QUXNh|xc
zVMw0d&6XM;Q5T)x%SS&DtDi0(eF%}FvnX~l+09nFMpH@~TeJNdsVTg9vWd2~+Rehj
zMnvtS=00`Yd3o8+`6|+D`&#>7>K)$g*@N9b?n|!$##KS09tH(k39eMUclra@69WyO
z=lHM^iBPIWi>ed)wer-im9>_O=RXklqNQX;b53`GiA4){ADWi1(0TKg*rRDL(9>qF
z=G_9KBa2g!W7YJjT*7n<3~+*;Z5{;&$IPeuSEetNTI0pECp4;MeDa5X?W%kof9R4b
zpSxW3yhQ#aShQVGX4GUa(6j5hD^;v7Jy{z*zv3ilT5I4xow<tY)ZAuY6j?4`ICi0J
z6MS>K{afc>*Spu=`h<jp-{xoXJQ8@(Z6uyaI3}=xcj=YLQpEFkc{@*uzmJLjmhCCP
z>dn9+nd<$uH>)x}9-;oG?<I>nEiu6|<(uvGW@hAja#<Oi5s5F2KYqN8SvAo8^lWga
zXqDvXdO3e^oW*F~ZB`BGQ?HY<Zm_EHCGe1MUvEZxUi`(lZ`*rmJMgK|6YLQhZUAz7
zQjwECW32&u+u4=Fr-&Z5{0|L1nA~{X;nRcRoh&y3OTt{DTEvMAnz?{A%dl;*V_<B^
zOh(ek{@{6pd|Y<_bT5D3Jx>p9<p&GO6v`>)CYpKzOgtYsJKcw7vaFn>Z%RPBQI1lB
z6L8FT(WDW@)g6&m7M~tqD}>LX+i`{5`Si*PwIA{n?HN^_v5=OWad;)ggk0y)xM5mo
zN8gk&31xe~=(cnf?~^T(uz$+mD#tuUz;IM0W!G_~@q|1gw|%L2o_39SdU=w6A$`qz
zzPziCfr3(kKY;O%<JnBYvBWRcj7#KMM^xLyF44LHgN0GdXlh_?FKTaf?<X1$8Zsq-
zY`nOKT3#9V>1RPO;YxyCW^P)kqXMP1dXu!=K(0vZ@x9&gG{!qmpK^)ffeTyFv&HD)
zT&}VG_zpVXVHxEmO&=|M8ACP>|Hoz2j^=uLU?cvqfNor6WS2+2Z>P|{(^*oM*o=w8
zrNMm<qD-WwwcYwAl1}mH<V4lgRdr{c4^p$ztNeBsz}(xw(&2-^GwiUdr)C5EZ+C^*
z1_4ww1>YDp?`O-A<i5x9z|4HO`TcZv*Du-HE(}27=b9CdLy?=?Y4l3R`g&%tbfkNV
zSu&^E$n|f56CW3S*)O)&->256Ybma8(YS(K9QDl{zU1#sf;dc|k~O#mfdT{7%RxrD
z99SWhyR0`9W8kiYmC<&CCC0C{O)K0wa9Oy1DGos=(#5jVvR{#G(gbD}hJ4d1Q#vES
z@$|`L5o!a*!;&ML9joK3qtm0y-Sfli+${_XR2vi?avdTx$~JWweH{fbiH<m%1e!QE
zVD1>*c+*JXxHgRfh8YHK;$Gr|3JguGs(dMADQ&sE#Xk!(YfURwYx%Q<laLeYGuu;S
z91PqmRv?=eXP2##$(bF6*&{$b7SI)(Q26JNw_NS~-=-P|Mh5meR6CXzJ@m?Mm+>e8
zCuP}uz`be;mpVP?itR|JMRmWxSl2N@Qr26CN2i`=_TB37_&)Ec`qec?584e=4bcc0
z7STPqfC{k-c?H7;WdP-#rHSRjm4){|dM&3Yr3tBv7p_>3$LCPkP_zd$PGCAPP`QM9
zS~>R8U1nb<LvSX`myVR0b!TUbZrSDu?@Pq7broRx@)J%A8JPf^F_ZCCD~iUD8k3L0
zPp5w3B<OeRrsOhQ_Si@nc(IhceiebheXUpl$LYoiWNlkRBzlSoP8~ycOW927`oA*G
z2hZN<<w_~r(6wToB)cQ`$w!N)<R_nV_l`{#A`XwMtcjT(hZFriQrdj?;VS;pYzt2}
z>$^kg8!g|WE7>XGPp5V05cyVXJY0J1Dc;Ag1no6$^qMk|%xv(UQ#ug0E06_AP$H%9
z0@*n4P<mJpaYPW@AD|~Mk|1fiA5ZT@pv+`r$RMF{BaSc~fg^EX4bV~{azeT@@D}jl
z*Z&L%xuCls1cSQsS`?v5h!zx8psjw$h8`ey#D!Jhe?av|&Gw5LOc@Q;idKMfpsq*h
z_J;3+Il8uxchCtSZA<5nwxBYg6X(I#rp3to6yg-Cmh%e<qMVhe9{F*A1mze4Cx&JW
zwa=qWhF1N|(rtEYsA+&`{xOs+M64`VJ6^ke<Z!I9Pj{rW<2muSr+=Jv%qwg<j__tX
z&kSAz-U*HYZWDvy2P`T(COT^IPyK|{B)o(+(oJe--6qK@#V*ZU-CB7|jhCb`O7;ex
zjF7mZsN{gAj+g=l)mTl!r7w${zMAEdA+BYzxrM<Ahm=h2Y{)?JF{gg3MNhy}$7IE2
z)F$qmJCZ)09}jBgs_uXe`$om4&r{I_@6~Kjrt!7UNSBmv)h9HV6*zRjQGj0vODJrR
zwAhH)n5d*E{2Uc?P%2@q^sNr;Qn;pM=V-T*>|;t%r*!jF3qXOpoOJkoMrSJ*%)eh9
z{vom`GE!PM<~);0FinBmA^i=Z6{_mP_tSYZ^ff6YiIxy|x$2|C-~P}p<(%!x=@RxT
z@>;$<L7?SJ@BO0&T8|Vm|I&DTA58v<zuNcqF{#gG=;FC!LHKH}FJd)RIvcCIprUgd
z=DGHU_3Y`h7sSLL9~fN*(z$~u8fpT*kxNImM;IbNGTTXU0eRdfd*h4&7rv^ixLRUe
zvTT7?S00o{JL^Y$+YB~@tQ@@Z7t}g<vVW@|)p4l>ZG%h?LcaeAohpc_k4P~rRWh@<
zKIgn3C9j&IHXbRV_CN-zC$2ZlXu_0)^{>GX6FZYxb8K@&^ZvR;1q7=43vN6XJoHR#
zojaZRjY7V5kJ*k7Z|E1<(tiuE{y4o@#L9*OyNL0yvmCXodz54m<nV=Xh0-Q8CX6GE
zBiqUzg)LPRMR}!X<!U8cmA8u0qU*}VN>9N8+5Xvv`Ljjg;g<fZHQYnOlXJr~!>@f;
z+8hZ@<&PH75%~uMK9uUmSScjS<#wc3*^i2RE_~n}5uIM%0?)87?GPA{NKhXLib#k^
zy!f9~XfaArk9n9w8&SGZ<`N3h|D<Rn?Bq39rnAg^4g5Tvhwg-OD|}Wlxu>00?{)6w
ze|B(_D5q+$X-p`hX}<2Xcx#$+znJKe`z+qh8!fs|LoLr`TX*faq3Uig>;Qsq&n}Aw
z%v#SQ>0NDm@mc<6xAS<hyj8re+D{|0ZOY=;VI6rh@zfpfZsZ>fd&`Saz-4jEM92v-
zn(HG^u}xr3&i}wmZb>OuAK21=D{1GsTfHA2Zv5vO5}hFU%u(*=^g;7#>*r<wk{35I
zD^e4^A^^ezi}*|5Kxl<vbhn|GR-$SMQuA8G0s|-_Bi5X|%tVvwA;bA2u(4OoD8*5$
zCBNl&2lFQ$sC*cS3~FVVkBe1UA>t`voQ~x90UH!Y2!$B#ki3lPMB9WkU9krKiiFJ*
zHQ+)GZvrnN^SISw1B#E1@7e?UW$N}=K?D*H5-|uPcu@5Dck5uwKq;CM5JxF_Zi}U~
z4%2D#&K_e_YHf@ysl1GEQI(B_ZMb33wa#VxOdGoaTM|2)6_cr)J*CE?mZizp4Bb@R
ze*54grefJ{*~9&?6PLh8Pu!dDT?PCEJR4d)C_R+^H`#By-@|i9#<u%aluYDvz^np`
zqAb~b-ni7RxKpPap(aB)^C~AjYyYX;T;b(B_d&}-nPIE3138z>h02r4Ie|s3Xl`TI
zM~}&KXW%h91A>l8IdaPaAkBO5+DaXLy|LtI7k5wM;J$0KD*uu~UtR7gRPVS;`$MTY
zc6*foq4mu~;>))md`zF2^hvyx5HecVw}X#?ZTFq+es%EpiSk(ArqjfG@Jq`|%T&x+
z&0X#*`m^IodlItocknlj((8WUE=`MnjV@5)t?}aFyZC^9tGs;thcQZjt@}zB+?stG
zp?k85aAjxp<hkqk?JTxG!zklJn?M^^P}*<w1841Vz1C0W&s;VHov3|S0inLFy&vlD
zfCw}Y-yin&_DeSQUlqRt5D#!A^jEU4F}tU6$d2`bXTFZ_{6Ms~ef3H!FCD*mc31}q
zO=l1gc=Z1kC`fuH76=Fth@_~HiU;ULCu}p>uq%Ow^>#`#W9RiRP7otv7!(NDxI_~x
zHa)WSyAhlziN`c<=OguJ&S$*oD1Kwjx{^g;N7#>+03soffi(>r#DAZ9?%h6>KGo^h
zks~EzW$M-Kpl(m+Pc(JydM08+K-c^6YP+o#$Nu>~3b%T+n*V((m}oaw5#<d(xo6OF
z)NTPP@XFIx<lu<e{7;AUme;M?ZSGxh#8${%z)-(en@Kb2vInRsn?f_?Sn73_%LmIL
zGfmhF9N1^~$)q)Sd@R@*qhnBM+`KBzbfwBgQ@cu{`f|wC5mj>S5}LXy&fhphSAUjC
z1xko||L6m6bE3#ZoJ{B_5>CS);*Rg#{-Fb#Exinath!IK;{Ob<H9SppZanA@SoDP`
zEZ38_)&i5<%~+g_D`^mK!x>Q^m_x}h5Ttvq6F^eagJg`VIdO>Y+7ioEOBZS9O4P_s
zY{zzM<M@0`Bp#zF$gtt5xl6lp0_^j9u01u^7;D_g4J5s;x7KwZCM`CYAb6USQ(~*C
z#-^(e3zVM5HF&5+MhgZ=4N)4FdSo^4$tRgdQ*9e>s<$j8n>2uvHgd_F^(+{cWB0>A
zr`MY>nF8aovc<M&2-`MovTwo78>Rf7f9>k@rjrgI?&0rnMzp*gxmlR$N<CyyUC}S3
z-q^oxznU`gi*V7Pha;EI6L1=C5aXT}4_(8(#_urWo>JuHCHe4FWHs-$)bbt&z$rkb
z*N|5bu?xnTo2=Igru8&|U%qaVaFwZe*#s#nba@EVh;j6=i#BA&zyDq0<F!v^IBk|T
z#lQIoB-)N@aWJa?NHL+&NznIm(wf4<QyipsbeEna;7>)XDflqhO5yiY4I!!@jCjAf
zKm@!vDay&nk9+Xsj<$uPiYbqfBO=4JLH5}dbGd6zaXetIM?M=u7ccobyNVpC|2))2
zE<RKz5X`YTI0_w5sVz<F3H;xA*YL6boadJI!?O;JnF)P9o2#2L5GKxtK1#A-1Y!3R
zTaWZ2NVtjafeP_rT#~qGv?`k5o<a3DpEuy1S!}&1X$quv6352A9W-YPl8jnNSnmJR
ztIhb9PW7KQ_H<YKmrY>2ko1VZt`2GE;0g{8KB<4V%A!5~sJoCKikb6<2A;*)b2jEf
zzCS6R4<YxwsoRh2dZ_w71?M~bjMCcc0v}x?;U)c+#!LF-f3Zk43~$Z-!YSB6=RXpL
zmw}VQBSXw4{iilbXJH#@xv7$@$hTX?dJT!b`P>SBgWksY)1g?e1z|4otv`)BEhh2c
zsmoU<1PxVs!>)Jr16m9$xq&cMySABeK;h1+i0JD|Jf-kJa_rV8LFw3Lh+|Y3if&}`
zZ?SV`HxhIGpNvk~G~4ssKdmqcJgy!R&WQZ75*w5W>@Sa;auNtx<RKff_Z*FAE0(Y>
zMd6qKl2$&S8X!gr$z?oW811LV%;;&vizybO#G;`4_;z1&@S?~z0ay1#R>_oUB&P)%
z>ci{Hhk(Tt$@pGlHJhH|jHNVI=%-QWa)OsF-ue-1o3C|$tMAyb0t>4#w*^~@tdUKo
zVaa~@;Cz3#B`gwinW4an6<?TWn&h<Yt?}+gn0Oi2N#W$YVR!uFk~-V|m=9l-&5>2)
zpf+&+u74a7a6C6h&-Mx09{zYPz=T#)D^BpO3r<GSjGv+m)3zh-f_kBdZy*%oC!-8(
zk~YkOREVCqxX@`E><XnDpF|w0T7OAb^AVgkWSPcSH&$y3%8jb#=YrhuVIU56o(tZW
zpMD&ScnA-LqH9;rvsoz9`oGbEmRoL{`y(s4M+o!+gOybEJ}ra-cG-;lL{+>|vaElR
z7Xil`K<iYgV-_#O@$4lRxfcxii{*HKOVi2E*>N8?FPLX2l&}6&cHJtN*oXE}5!%Qf
zZBgM<1ibWfmo8fAc7swGankzZC;TD5#7F<wy4JAlB<h3bR6D$U3Bkj{SDGJXuLbHf
znqA1bQgljg5Xuhlh1wkV`y~3y23=at!#onJ`TmO$SU#0csN+#Hbpb3gtaA{e@d~_&
zi62a!lef0Dl;Ru!+P@=f14ISDr1-jr;4=GN%s$Gdi>_KvM?7qy;rYW?bi2I2540Xe
zW68FR$>>Brl4m(rqnOH?w@}w)t-H$-zjWSGotxmF4#Fl1Y3jv3BKbiyJZ)GYP-)qo
za<j$6(%oGYOl^J(wH8^pc*aV|yIvZ*wPr0bUIi>@auCj9cxgL3{B<W5TU3Sm&a%iM
z``A|<o2`#!!aBuyk@?tjdLO9rC9_W0u(-4{n@W>E)oenN1iY8VOw*hwAtX*$xG*EH
zNkFSff0UE*i+!}Us8p*QZC~a<QDP7AAoRt&ZmXPWa;Jj8YZ;xf{6&uEalk!a5|4d9
zI<m5%I%(;?CNM3qx{%z&GkK3k!FWOl)&eRf0y@gk@8s&MEO&w1CwanM)vMqx=(a7j
z<15hveEf*JBYFhgTOUa|m{Zb3D<xhD!`;z1>o$>-&Gd}r-lSV|JuuP;byoG^ymvc1
zuRp7{?B3M#6938a(C|}gTJnd`Hi1W56#1T$ouh76&p=K%u?KJ`(NeqF<Vy>7L-5-v
zy8P-0GP8cU$;SOV46eY)@Wl?XO$GN#|AFr$x_8ky-v#DWn@>IMgonYFu%In<@0z_x
zUy7&B;l3$V$6e_AQ|IGk?Um7XJ={Tpfsv$u7EDLBV86{C=i>5PS>WH1xD#A>`&<{O
zfE&$|3`Z-m`BP0)QoDvkwm%W0@6sdIRF#~b*<JO>tAog{U}#E)fE<)p4P7^Uv*lG0
zVv?0A^s9N>fCSb6q>&m_l$?&n{dc$EAI~Z=`|SvNLvn}Z@6_~G6+XvdLiTHpLEWk@
zv(kuO+@gr9HyBAGi=GmTLwPNR{iXF}elU2U5R<z(Et!8Nbq<XXhgL0JNo+9(d9|iv
z;U*l4KS%v1alTG_+u6`2C2v17qYQJWbCgbfEn75?q{X_r+SncBb0#G^=u%ySZIH?Q
z8_joweNx@<>SjG0M_7O0(fQyQM}!rBkEr3c-7vHzhd^U&1xAe}l9e<)BE_~LVMx{y
z=w`7PoRDhNJU!Rw8~Mt%r3uRlWK~N+3BpY56;+F0yMLw&EKUb7<jbAy%W=B`=Kk<Z
zYXT!*I<(lhRwK^P&){36*L`UHy%_)7TyF?`F|cSg+2)8AX#ZS8kT0IVA<qS23t_}&
zkWlt+m&NgWy?7*HFny#n5cMTm9Gyj!zP+>Yz=DU-??Vw*5dxJKm(YFPW^LE$z!=$N
zV_o-}8Ggn!UOK7rSWBrF7lQJWh{B*<z1^7HLGT+}y!lFbp}c}g0}r@dJ2jpp(CEq=
zbZZD<XXB_wo#BPH)C6***c9&G4&dMNBWkAo(&L}h&e3q;MymxdQu^mnxjk~J2-QUU
zc2pl{HCKngm7yCg(=`nKIWX)rEeALW#JSZjDJieLd{i87+uA47JH-BHTmo1(g$#1)
zgoUzHiTOVq(q(FaaS@fg|4wcSNsHt@FAs`}ngbg&!IPa{Fc^XbTND#!Jf*X^F%r1w
zerj~7r<JUdQ){6%lnI?T2yiS+s<l-IbGNx(IkNgPx~6)ZrOu9CAFDRDji1gvRwwmz
zCVdA%FWPN?tG_snuYVS-Tv6~wVvB6h2}Nh~`=>XL3@U?pi|y!H|0z~;6ev)FLLZ!)
z@6Ev^lkuY_+_s3rrIk$>{{gPC;R*h#3<3UC`S7TLPl(;5->|k>pMqUP8r=#cBvokn
zWH%uF&Py%V-yY(#{kv<KH%JeD?kKbgr4XC;jq!>1edS0lBJj~PR8Lo>3^G_5UoM!I
z7|F<i()+<%Y;M+&n;j>?j}OD&GrEzWp8Vx=HEP1B$s3^vbsw$-S1Bb>NPaVgBmRW-
zRf~uJe3XN)_+Dc$@w9{8Wh~>-*6Q1!|LN9O0`TXRC`l3h!P7vvCv>eU1>6^DxRLVr
zoyI+-(lOcL!P+5lEM~EB%HSe1@PWk-E3=P@$ys9t{chZ1gR<)(oy2{S4mRZ>Q`U0S
zYCCCMcd><GL16#l21Ax~BT8LL9ny8^vlgvI5UoaJ=Sh4Dd=dV15_uVMEx9%7XLwtu
z62jDNs;R_*%=)p6z;vr1T_`dj;c_tm^d&osAUSkiKvQ#Kobbcuw_c}zy!Zg@%i7P7
z!;F1_RQVakb+@y!F3(5VZYeLbZK{f@$wXrxJ?I$j{Ddv4wTeK5|I$qyL`6}jNWgaa
zrd9A_pd^Dp_)EH!$e__Nl28KTUwgZ`$J~V3gzIE<bG{#CvfKjLas9?OUsFF0<hMsh
z3XPPvw92G*1|0!zBt(=HA9u_5uHjrCZfu?nM`t0+Wu=`7Wnf1*E})jV`&NhqG`<}|
z2Kw3^vcylAYyZEOhI9Ufc_ZH|9jEA^2lHi|Aj86gfK{?~ZK;uFSfj6|mBx=#SwEZw
zVb?>xAegY;<2vZgA=9}{CsOuMIOmy3#m+2S4EU>Ex+2%kkacL+E%5h;%A1^Xiv=SI
z#*!&tP+Dru-+FuTLpPkJ@T8uP|1$X-<vIU$0*MU^tIb4sjXW?_ULbaq>b559QTFp-
zX;)76uZdIs?HQVl$aU+ua~hMJrvAvHDS2!-TX>20+aUGJkC=}WV|^TE;TpD;VWuRA
zT+@UaOv`p$<Mtx$V=0R_4maod@;0$!<Z=}hGdClMAE`uyX}&J@R%;7VJ6lrU>8ms8
zx~EYt;J%Nbk4U<onaQR$V9<#)JrNVuD&8UG{i?{pXK2)U40z(oojB0-ZP^Ji$<MRD
z>@VW66o<e1823f6!bG*xWF&oWZ;ReNAm@+4Jt>N=hApEyYx#?q)arFzw@!iKt15`a
z>CkIFU0O+_E$Sp>wo?`VA!;Pa?;{|=`c}J1+h!D8f?LWXzmSKi>X#uR?9Kj=8FI13
zBU6Eh;450UEyA%@9{w#um8MNI(yccpjZo%}(T#{8krdpSA(SudaH|j)QPx}eQHQ_y
z<EzBS8Iva)KoLqiq&zP7Yz>SFUH}?5SmUyyjIT|8XYT*5{*n0j=ieapwm=Z$-vA%7
zD_ZF)r6epPD_TaxkscJ1@af%2xv~`(T%p~}(%pPr+~Gkun>8t)p;$;9q`P6z0oiKg
z&NKptf|cyfC%c9O_v3Ocy4c6M!}QFsB~z~WprY$xXjT@lv8N`B*h+}2BnUdoZQ4;J
zi*_<rV}fw;0GOQxVDqvx8k8mO)I~wM0%mx*jJSmzcs<W5s#!)rt;kjZZq^#J>TFDV
z)NAmG%JM)Z@4|xy*6<O1Po|P;YV06hStAe+>t2EeXW$o^#5!7&cAndpfb{p>e11F=
zxrpx-72(5%9u8Ri+7iM$)8dChhrPgR2zPKE0hVUu^HM(Oh5G+BRu_(L%WpE?ZWv{e
z<Gkc^l~b%c&r}{sbS+EUMt%*)*gfOCg0_qeB12g?LM=B{?r~eE{tv2Ck6!QkN?Q3s
zxWa|>u_Pmm_J>z^t58YOgm4iXh|-irh#+dFFT_hu8>ZA%oaJUpwvVK}a0yvmtz|-$
z%Gz^>23$6^(VV_Z6;j0_HJY$sHWh4=5_+|;{)b3downyYX=HKTwhfr5Mm<F3q7M&^
z=_0f%gA@5R+IMX!!4yhF>gal#ctW+5k7}9C8?<*Bg}Nt8CNG^o#vXv&P&kI;42B>q
z4CLI=*vY#RDn5kiz7<8AKZ-V2L18tv3-M82iCiR|NG(H2nO6nzlEvp$N0TE=v@chC
z8?MEjn<&gQlov#?p>pTY&7!UwxwqvU_2fmaEr0e=*f)<G%0G-Ze8?l~%&iHZN1uV)
z`3@S%5#UyhlYuGyCPB4W6EdwP40<!~-Vdbxt_}oSp3Kzs(>US{)W}8{(!$0`(aF;W
zope`e!tf53%WV@hn%5hA5i8e;^<ATUOwB;&X~;7k9EBU_=aXrM@2KV;r`=ZjH>G&W
z%N{7lO;-sSM*GoIW033Ru(kusmscjG42sDO*f0NffqOOh8I!;U3!_Doo4~D|{T#-b
zt2kPSI4V%6<hQnMt8{&ehlb5EsQ}|M6fc|smSWP{Y8K-6nQ6Y;`>Ajralf<?#MJgX
zo$=I6Cl2U^Xp$*RkET#)vj8Kc$#Ck6;su@t%`T(<3)-wsgkgG;8#*YQIMGsc@j&!_
zOijk5!%4)Iuzp8dT#AG?4j^Z^^LbHtdnIPMRa;fjRu<0Y<XM8$;#H#ZN6F_T>_lEr
zvqU~Hi7__mU`Im6=(eEESC9f;Q`=44&CUM!KT_k^r2E+G%3@t8d>CD+TJ<1)tgIsW
z&Z%$(sK6DHBQFO+L5kSF@*$C8y77Wv#ooARIWNjPzp7Y->TcHFHBaSTXPuPEhe1D5
z>L}AsC?!pkrl7?^iJ&>>20wjuo%rpQ*NF$vCHis|mP2`U9jHKQTu@DV(jMh{x<Md?
z-7V8ylSrmqURd*eF+F`@xX3044makZ9k8f5d|skm&Aiw-gq5;UZJI+1%fqI}1>IuN
zBo`yGURpphil_?q;+j}T&`Z(B)qTlw<w_HFgA&#Q<P$08TDiC>qmvPov-c2{?d;;v
z^yQk6ZtP()9j=rIr^l$HGGe2Gk_=_&pMzY7<A|HK#2iQ7j?~dbPcqI8{W;g3TH``6
z_hNjn21O&(5@or~*sg)l9a?;0gg*UF90K5AFrokMFqFdd%R~76CTw>oYc+YZ0>VxB
zn;LKzKJ#jk=geh(d?;RCK0J*5aY(7oK@Q>+O|mv$>miF2REL&WrZY8sm@pRC@Q#Yo
ze81;T%b$m=jYD7;nRKvaPFj19P(3U2yPBQrBsFE&i0D#7Qfe}eZa?(EN`MOYFgdZN
z?A?Qp$nSbr5wQ1Mg7;U7I*)U*y}Np}{+p%gO#BbPQE!4;wWo9(sX5<`wL$_8`_k!-
z&RNiI$3I&}PIuE0plLO%<0CP`v^Kpd&QqRP6;~|=chsQuEtqK6+c%Gn+zNy8g$3I<
z3aYA5AvMGR1#D$3XY?cJB9N=u7G(}~HpSt9hgHvCRmb2=#~$Q?4^%0JbKLBBz~dO?
z@%rMS!yC~$+kG`bsP%V+jVs=jdo{3Z)o=9(mJisx(4#pds8Q%AH#5+WBMayN;jK->
zp}gxDui`^PwVkL|<G5sydJQyW9nD2dWm>2Yoa<7pN4Qry%*RowVW#GFjKXFN&3_+6
z{LN*~aGqNHM+rFC>!vOrO_$Eu<td;WCjAZYC?VM|Me(jhM+;!&7*|2%ZC9g~Y+Z_z
z86-{N^kK=k9nt9`9`sa>DGa<TG#0t*OOs5)iP;YwV$Rs%k=36vT^*3xsroP2>;635
zVJiunBQAr}Ih>lV8kfGF9{1vOhKW8)lB5f8Ky&1kLtr<d+E7yN&7W-<U|yv___781
z)M_N!aL~5eh_STtjm*-j-x0TJMoP6}LIAu_6(R~G&YjJ}YEud%n?5*jL^WdTtt{GO
zyvpkYH4^tFQ!Rk>k^{y-nL_e3nX>R-WV%4NS`DBPF(dhViApWbl;<j~dampA0Ut|-
zZP?Gt=z;gU$<X10)db@@KRW+E8cRo;*90pa?X=%zlDm2q_$&@=y$F!Lm8F}y+P8y@
z(Wfq?5kq^X$cKsC<JSseS{VBx!U&ZaCIw0?4-yc8^p)@<OLC2DMA&}-ac;__Aa#0-
z0*c|-Ss;xu_`s8#u2t-pEMc{=$IN~OPX8zG@(e03p70uO(e+L-IJ#$!Ch}Xk6O&GI
zsf2EkA)F+U4V}-ha%m!o%`4D(jUU(6Xcp@CMj_f37+gzNhbL*tqII3p&4{eddND46
zW^X{B=~{<z4IrB!i4s4f`E9Jtbg_%=y9m2!{jUgfj<jQ<4KNqVe7~aC?7h>g&el&P
z%+imi#bsg@1=9eIlg37|nfle0j_?Mpklu=d;n17?=zH(M2HIsGLp5yUu&tuOuuNNC
zt!A>MB<_y?rC&5bxAV_X?WR);sMA1_D)lcM%$Z&KHQY$yYVpDBrGq;so(FYH0gjl4
zu)Ncx9-phAJEyT1a;_?t2aDncHh&&JWW-YiLjhW=TYuYjrjeL>P+2XT;9jUR5H;Fn
zFvyw)3DDPg8lkY+k}hoHE3nxTsR77qWHh4|$X>Vohg@9auO^{*P3V=V)DHv8%kSn^
zA-S7%RH_{29n*!=o%lB6R0iN}c}NsxN{E@2BFQzC+pnU5;<g!toI*d~96I}pgODZb
zf|Bf|Fj1&%CLrV7a(7d_CnHTKYNUA7q(W=K0#jt^M3xfckOhDE7Y*>Shd=K^$FSp*
zY5?ibkb2GV`x|$}A=U({B_aL6G&9c6I-O-bx^MQonmY0Uw0A>!gAD-vfXO${A2?h#
zTaXp*ZkZg{`85DR;S5e_b=L{BW(2Rdx?wdi_y1@CcbZaA`r-=27&qO}M}Vn7{>4&v
zOB3uI2DbmBCm;O`O9l&0@TS%v&TLT}7RAC0MqlZL-DO)gmE=YUQ7Iq=wI&?L4mF!a
zU{MNN%N|k-pc_xM35&R!@n{iSL`&$0B{6Wp8Fmg!T;&dtt4fMmq_uv`Ewa>%%XdL;
zuZKQKp>4C3p|{e`&$7SL5o*Zsk`yYI3y2-<QhWwvfJ*B)2+qg65PZ|FE&s!fQas?^
zQ?g5J!5cc0<JL^U9sh1=mSigWx7Qell?b@mRYIvn6FG2)h)ALT?J)(%Rala8nE3D-
z6_iN!J?C%SmTcaMfE9=5f!StQR;n!)L=&Q{m0=%*<4P*Tb2Ml@mP%yQW7n=Bn6uq!
zAt>H^R}WR=v`%KzA4K;`bz!>LY`Lzq{$B4e<j9>|e+KwP`fd&53EJE0D|OzU(fe<U
z-8{Oae7_R+@O}aXu&d=~JSfQRXBSCd7duITp*lm$RGcAWJ%C9AIdp=nWJt%@MO@D2
z8gnpK-6Qqn-Mu1kHcv9Kf${0>CX>1t1{a4z8Cdrc*MTUBo7a^<7^h8a2oF%crvUU*
z=ofMio8Et798|t{7~TuOW<06KAda&lM~}xd2-<({Y?O(6O-bea$F1XQBD`m1RFpG`
zcq9Dmy6z3WzR)2E^d*^h?8Xa)-=<!vnnz6+?h6Yj9!&@Lv}<RFy|c5CdJ_`~$$Tp;
zA`}_2b27_%Np*6ky(G7P`a?e24wK>Dv==;yYnBi-;++et-O&UP^l{PXa`OZ;L$|)~
z(ta{lSgS4Ir*ePg*q%pmL;oCRjnsUBEzZ){>F?2!R&v-?cC+>fmYEAib~74E<zVpE
z=}9SXQ^-Fw8@cDu^{tu@8MrRE>+C>s|LQ!DCA3eMiJ0jcC%T5)bFNO|cT!#Luza#J
z5Q2UNh=bp`rpk6*JOi{dnzhT^{CNMv<Z>+Fsofo#iOmcQquV|$bk1pI1HYD_(e)<G
zYz#;u+;;Of*II6{x6ObLopWaH^R_F(TUI?R)iRWsFP85e_6HqKpy;k@5s0M*A%`Wm
z_e~tvn=b9{7h2zaxzrQ)CgXg~dzxn)zsIqNcNFF6?GS3R@X}*a#n?=2RBnX!2L%kb
za|O|a2V0$Iw?}P$tj;G&dwv5;o2~Pk`>w1*GJOBZcJguCjHfuhz!eH{3hecPG{f*&
zDeHS*rmM?92h8uzMNqo~VYSeU)}Pu^Y-cS_b5`H44@iJB1-O^BbP*H#8<p<!4kioO
z&n_w%Lewd<0`)NC<}UP~U2o4x1S?gZqwU#~?da>GCZHVGnd8%M*5(u@o<X&;71>YV
zUJ33yecyoZ&y0K7c#PX7@TIY%!_!x?%g+wG{tbsIn2W*trg<x+q(7Lkgfh?I3;<Ru
zJRyp)A6~1xZP@%^4J9YJvzg%1@ZSytq{}r3>vTpLGt=6u->&g8REmnJ8uz`^q*wFi
zhnI6_a>I4Bj%vA9`Q^O-{+4TZM+c8dwEC^E=2m9|$+nN5Vige_p*g(Va3@UKT4F!-
zzyVA@M!;&6Baod>ByV<V!FfMv_851yf;aA0_0gmx4_-w<yFsglf`6%6Bta`^{b;ak
zEFEvH>=0f?^X)xHZO`hV+%sSsZutp*-ks=*Uwhyi9dtAf{p+E)UU1I6L=;+XX!oGE
z8IxU7l~Lj5tfvs{J7ccaotDC40End8ea_VMum%;OtX0-JwXr^IwA{>M7>&MOZKdkn
z6|Dvd)nj=TY7PDKc?B2)r(7wUM#Ug+|8qlT2*K<9wId%Fv`A*I5W6Rzu6Fe@ZR59h
z0Mo~2RV+u5zlC*V_umGAH-Pk7wyv4B6_rAuqnBiJNX~Cp?*&>G^Q&3}1sU1V>){H1
zu{U?y*Iff_^`qkz_H>kW!|mmi`ny2nqr(SU+&Z|}V8@k8WODAAmAG1}J(r+B;c67)
zX18fGlPCAr8s8Xc{1cjwQEmA-LmTwNV?^~{+Av#|z|-6N;1H8?**JHFEHRseYT~RX
zfeI`?Mw_j5R9A4WBMlhyJQ^Kvn}K?04Ks_i9KUiufpJZQP5u(?xleKvNrQG+4t+5Y
zVmh$6Kv*Nk`k<aqE(T(6N~n|^KF}4C8nGU--6X?-i&Pm1)IWqpVHy(O{W#cu>wX)u
zt?B;FD{C!(`0b3JDZ72mLDr>v{&%DC1wRdyah<4wg~W8AKPnrkMb|62Gve!EUgB1v
zCpV(K(pZk9D6b;IX-={T^!>jlP$*8BvfNW9Gkmv@qeoJ9ZJnBJwmMtNg-=&Tl2Cif
z>B_^-xUwrpaD4fsdR!pEm%|3&bpT{h@+?uSb+Fwsg?+$?U{pFfl2WRlmMOO?|8ExH
z_fiIK2E}wyw(fuEH-ExYNOu@yzA-rJRY#NFa1X*rl+zn1rowGi11dNHpE@=9+fcLF
zKQzZb6&rJ4VI-yOdjcieqlQ>qNsn8AAc6F4&IzP9cw%Wid$e0s3h~mX<;I7wD6Sq}
z0~+ch)>tTDo|OJyKO`)K@^pR}>Rg)VRo0}%=&RaXr~7f!;`ei6=slX`qAMq_-k9(_
zR9@*w`IV*m42bPHsx->ry6q5*ooxSU9*GN?raLiGIEY69$&N~ra_$AieB|HEVos8T
zyvAPJx1;;MU=Tn{0%p>r;~$5TK;fTyW=zb@6%RC?KW)!T+~7UE&Pt}Y^b7GiT*9D%
zLHD$CLk#pRcVZ7Tc=K<ODKs<+3)!UzWh!u(pR11b#+xW|HMctc)2>v=t=sV@%xz)j
zCo4CsS54WNgu=^NRu4&?8Ba^Q{XCAcyTIGq!4QubtC8){c*e|*Xb7o5ha7x^wb<@{
z0K}TzBo}dmb_SLA#qhsFyX~uOKiGei_G=x^G)=Jk09rwNhM}E-dk&84<JyqJlpFw|
zs_zz#y<OBl-weIFtYGTPN%@q+J|{^I9OATq@?!-)5@t~e1W0f;+x>2iXqPo53#cr~
zJp~z%4w5il{R3P|wXf2nLx&D>c|7c)y%A$H#9Vxv=C&%ib+>BuZ<BkG*G<-fVu1oc
z2cFS77?YXi1c3zcqr`NokVKw_UpoK+7qXcc9}z)5?Tn(z*xDRR<OLk*E|vJ;Xu2QZ
z8VL#cLNATO#fLjweJ6&j%LZ$fgvRE+okW8D!fk@R!fl-O>?>upaSUvKSyMd)@a=a(
z$^IO6=_pU5<}E<D)fJ(T&O*~(%5U*=*qbAcV^<iq?lb`i9c{LBYh~MP$L+N5_dNB2
z89crywkGl{R|R<>AcMw2^?&QKE$5LH>~!E4v0pTz{bA`b!=8UuuY=Uo(H_j3a(#JC
zV+Nc(x40U<XFAju_~7=ovd1sVD0V$<Ap*|Dej`Q2lJ@xE93fjQSOl6OpAj(>b;*wZ
zolp06)fF4s-~WXifID7Zm!+Aa@54pTD9|QvNkumvjf2=MYjI*;OVqpF)l9^SYg)ML
ze8&Bgj4J{Xb}y{&C#dFmkDMdsdv+1ZzP+t1u~rQ7nf`r~*xbe4eaL9gZ3j1hR;?^Y
zOGqJY7U%K+Uhw4G?`MEuXi31^&>k97g3GfhDA|@*7ju`7q2lK{G;J7vRwAkLK3c57
zha84tlUu|7$*e6ZswWb{I^e@?A~rxBQOVQcgI;rOVr*hAFBAJ=tT}6q5qcOe7y^+i
z?rJ%4()pWaZIZ_7Y)_YQy`royzbm%iNDN`5rhJnBRgcumT9DhI-^D=FgH6Fc5mA;N
zu{c+kZh?5pbG*{VVEmZsB${;u7i)s*eexa+;EsT0?0&fr;@<g_34iJvK;<p?>>#9<
zJy{0n5NZIoTXsDBYbjrGrBYY%8H;kj7OvK$@~|W06UTO0cFVJ8t`=a7DBYahTnj)B
z?C2h3r^8-1!J*)UE~Zrw?s|K41-N$+7bDAzJFp<}IXj?+4T$f~8KeiC^)(jV{rGe3
z$TUe}C(PNxF%8Wuj*Pz6RXxEdo!i3jbx;bM>Rhx~-+Q#VS<ByU`(Kl&l0}gl>KB`P
zhnt<==Ut~NHy?MfLb}LQPb9Gw2It8}QKcLQ(Iv<>q8;a4`<<eq<yMKap`B(~A^VH@
zw2UMU={;j$g`c;h2%Lt18Q0!0NItZ{vTMbx#5G1m;7WZQgDmlq-DWF#JHVdzZpnAc
z6H(gs{;~fkx|#X=6@v+08{gdfA~C~d3G$aZJQM2ujW465M!w7*07Lb)=+lT8v4Pn8
zYiDBjfZ~$y=+;63aCSS!SpxrXcr1F4MJ7Mc*5{)V(g_4yT{WBw(V0uOPwR5x=|G10
zc|5jtxCl@p6Y~85O~c|70kI*9?3u?2l5FM}aBIPqcq)3W_&h(Mm$N*wlpX%}+j(ei
zt!RRNTC!X(S^AtkNan$KtQEOBU6va}HdA@l5>Ao9JJnO}a;;*?2pYRF^J#8-J-#{S
zxbmZ;y7!1bmYuHth64ZrzKJIiUPN)QvH)T8U5oS}?3J{}#8fh!9NFFLVCg6)A9e6f
z(;IVEZBD~G$}Z2bbQEuOvd}W(A&m)o9EIU{)ec-H?=1O9uW6g+Ia$0uZ}AdczykpP
zZiHH{gKxA#Q&FG_ZCmW-LF!~R18VAB@wrwn#qa~J)x{QqGNWzu1X`SA3$)^fDc`Xw
zFe(VZ1vMeuA_lQ3gY<~k84K21k=mPok~#2ZG)LI>d2BhXwrB00-OjYZt8zOVWaFh~
z{fHSrDY0|fRAUID&XLsFCYUeVbyIGmalB;9%TU7Mq|E7bwp7a!JW1L1yn^A&1S|8o
ze{aC8<&^^Sr46k_%UQa;cXqy;E9M431mXAM1ZF~2HJo!~qg_Gd^wriMn{b=5)vROw
zasRL=k;1<y`>|0d)86K)nm!F@q`W{5Y5R3+EPgmQfteQe!;}tG+ZCfci?Ut!StiO_
zcl~p-9F2(Lg}I2)s+ujBxknwA;co+A-Uba8vru(%><tTskI(Iw7?2skKy8o^hKH>T
zHOx}LHj$+`TIh-@gwoJ`M#`Yc15vDJ!%>d+I${bt+PBcQeM|v0@9$fwG4!E%ia8lt
zYEt*t1uA>a)?&Bic9D_fIwTnDnh!x>jGv>MECEjrY(|d~ZqHc&Z5@yJW#?l|`R-#?
z`KRqztyDKjM>1Cc*JXwPRkucJe7=UNyOB4<mAB$~-*WQ3!4=k?nbim{!kwAKX6qq4
z;BYPzVuzR|T}}$01C?+@&GL+Y&ndSdu-Dgs?O|hjkbW%9Z8LM4!a}+jcsmdeem6IW
zjV((zqE5J8ObDWrzuERprL4z?QrN^7K4iYHW;ov{|BZtHkxwZ>vWbe=DS*I0U4gH#
z{Ubf&)*VupV~nnDd$K=8-&bo@?hHAxLvxTnQ^9$+fA=aQ7lV(~%ZC=wRHz<zy3p+P
zJ;=ogfL4(JtM+zqmW$Z6<PH`RM|RkI2sIdos><QFex}K>bo8OnX+LYs#`r$~i9mM0
zoyWi0POkQF<fMwVoo7hZ!5jq;H)jt&ynjmm=7XCuIUJD_`-jz!if&^N?_~e)Y)RXZ
z3n4^**YCY|Q!0Y#<U=WC65(kLLF_1;@u;1HUDv)UjN@JsXTGzw;P<LG)?<VEsp-6O
z_Oz!8yYig=S}@@pnHZH1XNvOnW%zPG3AYiuSqZo#pv)%l(zuE+3qPO30OZl5YF+^c
z9{B@LoDx|Ydv1)e5!bOg#PN2xZa)J(b=dxvbEb?dRl6-Ly;jGBo~T4)Bl6POc}!Zv
zWH7|#VH4YR%}X1!ZEHxbL6ZQ!uL2gFP0wRm`r9`vn1MKk*GJ53<T-qpst?f9-p3gd
zFwc`f*@pT!Ky4qhjPq%B)n}Vdd#*CNtkV|DyFTsySPykPcp!PLKe@0eH!=N~z*gS{
z*JQWBmH=@{JZ$7j@?A`vIXFJ47PUaU1@S?n1#2r?G~fQ(I7A&D>l~zaifh#CJQtmP
zgL{>_+j3!=_}2aLeznwdcVKKt&aVjuCl{4h3-j&Pk-)%{wuVCsaS|%>^2f_EjA`i{
zz2;yf7*LZS(%yaINM{pt+}CBhfUfdPIaR20;Iye5>CJZ9>MFxLJP=NsOljXvBQ8Wy
zqVoDDi|S3Gb8GG1KuZAlAco(*v@FZzfQ%_Sw&VT87d&n(gOA3bPP-0Ok<X9oZQJTP
zp>eIBAK15X&3r>RG(IXnIKL@tn+2<ksGHUKGw|k-7Ty)%vML{4TSd%bO#j{=SMh?G
zugxJHVQ~++YBQ;GsEV3>lbSN-88P`L<$0bnsmZ@(iVDO$D-!6mxE~lv%j?(Y<x3~B
zh!QxW@~s{4mQvi)Clx+`s&&NscpZVm#)dGN23rGhRH=O{wOHloKL)2fa__TfzwLH-
zy<HpI)^|FrVjL;O!PB*%yoV4C-%Li}O)~IQ)xH%2EeQ>tmRf@A?6nPeWhCK#<Wtkr
zH7i0+1d<ztZPB@QP)0u}t~}T7t*V=IChgx}`z$(gknLn~p@j&htBWrpAIxsZ^k@=Z
zBsz+k>k{nl07-y9=3X%K`&U+FtrnD%@HVPpQVlnS(>uX5%if}#3z4eb?f$gO^|S^3
z8dXdtQ*2IQCSLp*Pp9Oy%PaEq@sbRsFlK`bQa?JX@ZkO#X!8iQX@vNYh1INlyw-w8
zMqJynf$WaC!?h1owe#I&05FrU%@_U4-RhjF-#=yh#I)n0)z!Ct#T`o}<gM!k$stw=
zfz5X8HkcCN@L~?;zE9_J5`!Yb7&cwl>#;BQ#~d+yXSm+Je*fn{mp5(q$22FmB{3+O
zts!>!+@`Xx^9isUCfN<L5J+zH7`d{Lg{B%-u@5*qiyPp!RWyCFbm8t3-ACQc-0GZe
ztGj&H(KbX}hYMg7i}5b4dX%R?8WV1O_I0vLbc1q0a`s|SeP$^umoqIy_X|T2amcev
z2)9KdS@pBl=qlfJ(A|{lRR0sq<)j;5C@$x*rs)?Ehua@O1Wc=H4=!mFkJLyq7+pWN
zSd!uRkkUp7`a9W3>aKZUTi*0k8)!<Czw`QsOsxg$RQ)a}t+>0#c4@QYT$1WjHNb}S
zGo=pkJHz!RgW;H*yP22Aj?|Qy$G%H;%XJWrsKwH=XbJJv^UV-q&p75jV(B)}=4k`D
zwyaD&SIR!zCEIn(P8+Z7R@9E-TT``NhR+e3GnHMx73hcB_FN_-%UC*Z8u8`XwX0}%
z2Lp06z?wF-kEU8(<2p2w>G2>2Ahqk>E$@8?Tc}S2p)>*LfUupq8u7SdSE5U0D`cuR
zQ_r-6R6P?sY0l}Ay0|&%oa3Q-P*IPeSQj>PQbG`(09L4>?TgLYZEz&Od!8v&<l1Uc
z(h-DO1p*o^3|E`6kba_YfkeTIf0)NqWppYL${K>s36wLCWGNTabycSw5-lCF)Yj9c
zI&?SU6yi&781d>C>OQ%#nwRO3B>J-2_5hPMr_UmI4i+nI00_Z=<K_pz^k7N@4SyB>
zdQak5y|QfqovFa(m-K)=$(6B;>8;{mS*27Rx=Fm#3Cp!NBEL^REX`H2qll4`%`?z^
zNs@?BBKTedua>lhxA%9n2HcX(Tv28+2zL+(sxZO|GGNmVbPW0&nRMXR5t4&zwn^BL
zjOkFtg?x!${y1P){b6g|NXjh3-v^#&Btd$rm~zgZDr@SfgFb&)$AgE0Z4{aTSp}v!
z6PU9(_0!X*(tu<QBx!39VF6w&lsbpiUg(!iWD#(;+O|8bAC|2(NyIgPp1@0B1sMe6
z!=k5HogK)hIfKAP5%k?@nR{+Pcg}Q|V>S222@;GYQSk&6X&;-0zbl5|tqssErM<mR
zth7LEMJyP-R`y`IIluZbC%jw`W2rk5gduF=xI%Y9U^X7`NDU7Pol%HW(-PeY1uL=-
zMZ7}ar95z+N1*`fm~z|VdYh|Z+kAFH{vcLpDj=jp9g9>W0wD6;ZEaJ1&t?xKY4e7Y
z<Z1xHN*>Ys;4Vi^RgbU(5ZfSPEAaalGzxJO11VoV8JA}dgaI~m3bd6gb$RbXPJS|1
zlORB@+q^Xl`(01(wUC^7HI<f6HW7N0T8X!1UH|s%liTNukz_fchB2zk4XhG_8M9o(
zgB$UpaEbk1)b?V@lwf&QuYr)qhl29WhvQg53De?dvhtk^Rfz(>3Ui33_VB@&eB(q!
zhJqT?H7u8R7C3+TW=%XOrxX;z+}ZkJnx}fNg`O`F*yY!-h(oSel`!2~&6hEa4Olvm
zq)l+s-H*#2Z5Bapc;!-ncM#JJoLeEng+g~RWLK~r-q`+_{K_%>Ab_Y>uwr`%E6fbX
z0`iqpalFEA$QxM<w1CW=$I9J8*Z!Sc53gTEZS(k`<<z9frO*P~Twhn~_F&IQ02rY6
zQ>KW4XyAa0MmM-<hr`kaN4H0XE<p{u0e1buNvte$5-~xXcH($tq(=%53)Pk!nvTk^
zKN^#yrzvY2RjDCJ)no!Ve>5TMg-v;L9o|jw{NO;k+03<=<9;d2P?_Q?H@T`uxTu5D
zeEJn0puB-3ZQfs!906UyE1c3OaI8H?2*nP#9Gp6k=sxFUZb?|1gO8OwSLJBR#p^|R
zW2GUJqha|M&kxHKULn(Qm@+n??~}ASX~5NIr}yrryRXH4j<vPDoKI*KOOWxq`2qNr
zHIcXlwdePF-;2<4X;vVf+ul$#G`mI#x5tte5ub@F6pwf!h{b`U;>}j%6RiCH&?v`#
zH2tcDe?i74K-x)^zjP%le{dEH4kMoT?>&>2Cnf^&7#8aIV52TosO-+mrhdF!7vS3M
zx<7mlc>R2fq<MyK#!BHr{&sb`8rY);14-Iit8OY{tI`&SS2~7=Vty~8x(U>M<lf(k
z4r;x544(Xl#TEuRJrWDTG*WIzokdX<@#ob}3lEbC1jU^0%|KK4wSAAyd0apBAI2wc
zz&xTKt?m}>(H@on?tcTCb{S;L@T?>}g#iT*{2_5W+wHK#Vw`wZ!CT@hXE$VhsU*dz
zlpG(!TBB%{i~mA5z+k6G4vv6EYE}7oz9LnaGGZ7jI=@trGa&6@yh^eiYRois=w}Sq
zf%<0a?3tWSYJPO8sLxnCd{$Il{;CY<Hjt#P?lq7?`yX#T@xu>r;cRBdq$Z!K28*ia
z&UW?<l=!eT0jxu5zf8n1ID;VXj~$Q80g(6FVnr^k)+OqLJC>uh^zR9|JsoKx?#Xoe
z)(<JZ3yxLnlzxr&xn`TS`z2sBP(_L$HmwXenkqn~p+G}iKkOLPy3RV-sUr@^YgdbE
z;PL4rok2zRLwh%$8#paVCEI|_8E<#^vGC*VZWRhj0i>RQNic*m1(fwe)8{j$TwtB{
zDS5r?%5dKfJ|E}=j($j?TH%=X@j>1Omb5kb(TfAFe|V)-1Ca_*fWtQUVYY$)7SNby
z!NEU)g)vTf_((#2=aERKIFP=&T7vH>TEqJy75%R6I?qqfiB1#SouF>bi4{hp(cjTs
z&+hMK2`It_2B7S!IS0fv-Axr{4L-ZkrjEA7G=+tFNq9b$D-E>iNDqKz+clhvgQTI8
zsEvvOZQTKUXwKkIgbyR|5%fZw^I8<vdE!nt`~cKZIRwIoqOJ)1POI+Kasx}+8a<dr
z=mVf?`~}xqi9(wD)vFD54S_C#bx^_Ld}~u1RS$>SVHJ@@OmcYh3eb-HSUf1FCPQ-S
z%#i%O@|yh3RgA!g@v`Y|l>6@E?gQP2>cRD>(N@V<Upy>y`Qi_e+Pd0t@@%rFB|t2O
z@dn3<VtkV%kt(Z56DRPWo5HIL8?Iel!1-%%T?atvL1M}=MYC!nq1Lb;0{+!oBgzub
z)Jd2&VbZAJ9Dh)#{hN9{Aa{D?CAx6U9#N-(hb!RK%1FE50PhSgX#>EV=z?(;X+ets
zJQT<j7Kk>z<6z4{yOZ0SXbs0*Mgts6-OJ2!Q9fNPijSZT2jm|=H6p)qFet|-!ZJBq
zk!44VAfUHyPCL%i#uA+?<FABM2bp~3<OAWs?6(MP^a}ob>g+a95+J4{jM0Ihy|iz0
z({Khj9Pn(#Ykv{7%K=9C9WZD^N>3$DpwZqc@Wzu-U@i<TrBNYyHzf`?zaZG9vQd*w
zYD6S#{($g$@J}0Bw)U&_^A2vgSB6qG9c-a}_Sm_Ot+fXuXK+ay_m_UGBT=u^*5M)t
zWSc>c&aHP)uAstPKn*D3L(rSHp9rTiYX$(^DY!?i7CE7Y6Km>nGs~e!{8Dgp`eb|1
ziF95+Sb~swmH=ki&Sr>PKLot~P^%`%Fm5X^kQMAU5E4+6sBq8uF9>oA`x<JwJTCC7
z$=59gg2)Xd4HWeke-y@efFeX5C(5jsnzD~GYOv8mWfr!-Nnkr2Zc45UsKLc=a>y?$
zi)BF1CoiM}l0@10Odab#q7}UTQK>M!w$$69hAG?J4%g)SBD_XY3GJ_KK|P>R{xrZb
zIEc6gV=*6QTGe2SBOqO<B9hu0p+*#=OdEAPsS&Oylc$}HyM<~~zV?N2`LzkJynit(
z*K$pmM?&(#iKr^ImaEDl%J?w)PCH;{V{P{_4_(K-zZU8e^xzEL7Xz)jjKm_!d%$%`
zo#yS{o|S+h?huUH!-2Y#8gTss#yQU6COe`@8zBtVT=-JE3RFNLCdELdesn)pbjQ(H
z3Z5XS8-<zgH;;k5OEr0KvnH39%5o+VmZy$kv1w@9wOCl5IYyi}<lI6<a=>LI2%m9R
zH|<{rgKY&?^~b@xE?mQN*=$rL4l^SCwds4Vz9(8A)NNojZQgi40G*EdCE}~X1+S{(
zkF<@`y^sKi98B>HcMaZ1vh97G;5j}No6xF*0P>4Zj>(J2Guy&kMt*`3`7(^paS*nf
zvuWn&){HuxD!w*_&4Y-P@aFd^;X8~6nlcpg!_A7WRu<q!=7W$bq=3|t(SYoaw&cBB
z4P+TqZ;-@e7iTJgI5{1N!MvtRa?q~|vqUlyl7H~rm`u3Jj8CQI+f!J7@@7V^zq&5J
zxVR|~W3AGY!%_LI=e1J8XX4_;4f)wJW<-MciD~^NtJ~M+5!V%|UH;*RogoFLn=tXj
zJQZL%;9%NyA?iB}-k*UaZ4#W9zt|wQNH{3_V|lp=Z99OVQEl?=hXn;JeM0ZLGMw_P
zPjU?asGnZhls_$$R1653O1vQ40t|p3&6ngFUMW+MzGHT5_vY^3^kHD?KIgs)?vu-#
z^|DN*5&R0VRA~A!_1cZwojol9;+mRhG!&5WxKGOK72pfL8^DIf(l%e;b<$8f9Yye)
zkGTak`Tkq0GQ#jYEJsiwrH9fw)ao*Dy`Cw{pS-#xPwfv&0>`v`WOEgHW3D3b1cYlV
zZQuI2U}fE%{@eeG^f~@;lwcZ3d+Rch!~`F>&C+H+=-WV&Hg7sX$LZ?{XeCEeBA?tS
zOAHGM7)7=pFo>6}#M#DiyGpwZJUQODR*(`fh_^!pX3YAPG!F2lseE4z1h<1Q&-3Nh
zY&>RJb1kO6nov`%$gvS0-WV_ef||AkxDnexq`cq!vG!xN^|4eyMtx<FUIPPy{p{LW
zBnCfQ@P`bZtD*i+E@TD6G7597#e6;|9PmtG@DXvTWFuRZzx<%0a87{I6q1HXBaFh1
zDZKscsQPTEXJbAa=kue=pwDupj2|E<ICxIEum|5B2Ynk@(k7n~1Yx{BP5|J^xw5it
za{*Dl#wh?fAZnux$H0?1r_<h7J$-CI#aF--2Wwal73d&B$gzFSChKjDIh~Gqn!R9a
zGc+177XUyTorMo;xl)mlP+i87F{No+($=CIw7))Tqaf|cbV#NnMfs!*TwvUW?s!`<
z%^U|~uDy=wLZ2T3`40CHB;m<+Ik}fyIst}OIOj2{(u)M)*mO<R6e<`joA!9jt#cU)
z*SrS0`uXZ5%);~o(;@Y|QqvxEWn_R!8%r5MEAa(FAnlMGjhEyj1dksEz-fPLW2n93
z;H`}>mf=Yfwb6z3F)_%E`AtMy<K{q9Ph&S3s%<_@J^h)&swVyz@>YYTJT@nE%HsKQ
zNuHf*;>{t9WtoENyA3+HyQQ@Ek9fa1eccZ;Uo0GwBf~z#y(vIJ;DQ(o)!=LjPehFa
zB(tk<XRyd~{AjzfQ&T6Zyeizzre>}55M<LlLLVtr%=Dp~QdrjcPF2P7Jc-S9LMbBE
zvWy0*vOgV{U?`-<pe&{b)O$oDgxY}yIEn7~s9!GR@&Gsp5BY6?o5IADgDsP#acHR9
zK)h2(?`aLEldEfU(gOj=+8xctY1tHZQnw4Y!8KEE)I7?t#}D~Ras-CQ7)cwi!~AY`
z8$1aRQvuxnU??I-5!`8Fp)5-X)fxxsamd=>#}Kx{Q7_(H<%~jM>Zugvncr{g;97HV
zR~dt6q;5>JjQcvcPmh;!xhRhvz^qGnqi9Xrn*1oMfz`D6<w<N@u_hRf%At{<99k;K
z#c~<;v#8Rx+rR3Lrt5~O+21Z@`(`s`c#LPtVRvXSXqSEHQFT+gPwHyG?3$E~<%&gl
zVXPtJ=>(P;)1=+L_CC$oti3A%-go|JQ!`D)qjF}fEH`f!q>jO9gEfr}jUWfwZGjkE
z-D%2-if~N}4xUY4CVNY2I&e<752=WhVD6g=mGNALBpQhT*Bqy@iU`Fu(4=hu9u9}G
zJXaK9B#Sb8720+^2%k{+w;FSV3vmRO;$5XGxS-}Bms+zc*Qu#<ScG9%6>FP9?We|M
zI91w-*2C4I?ijmT|51?y%T<{U6y)SMwd|N$Cz21XelXjO*qs590Pnj}MqmSuK>0W}
znv<hzWtl0J5Rs3bBzU)LW3D5VHu?-cdCI}G+C{sp=Aai@?HWAY*-Uo351rAe$D*Bg
zOEl{=Wh!c0c%__^Cl9t{G!;c0`lxz)u$b0j9(d9wz(deVBGI@U9L7rK8%22?D_N&v
z2_>O6_O!fQe>))41)Wp0q4b<Gl?c$z1JfzQJz}@trp+hjj48<&;E0>eKv&hgJdUNs
zCWays25HmX&w|^?YcNwy+5w4x?1ob@d1A66H?Bb$sRfkV-1eBJygIma?<(7%bIPEw
zzjQnG-Q_g)O^r?&lcW2E_Y0KiY^jLJI%Sx5!s@vU<N4$OtHrgJ)<BasML>YlKRXJo
zB#}tUqX77PJ});)e&qt#A=wVRdiUDO0!|ohq_+%@w|iLnL0FaV*NF2Zk<5#wf_x!?
z(e-h>LPitnHPUL?eT6nqnIt!o9N!?LP(BU}7vzhX59>T+001BWNkl<Zg1okt$J-cI
zH1B56JCaQ=uD8RiyD@heH};v|Pf6ir<?-e?>?z=f#w$ZfU|K06)->Xl>%fz?8{n}-
zLdG!o@ukU4$=t|dfX@r}DMplX!_O_ge*4;V(eI4TGZf#Qnjs=y4++`fW>uxPcQyD}
zDJiqa6PTHn2Do|cLC5ZAHInV6KPYF+8)PhoWx$dtd1SIGtN4-s7|KXOnMppYByNXm
zwr8lggIMzep>VC3A7zksO6cq0`5Fe){k4odGYym9ND|ZKlXzPQTP?fiRt-F9E2sf5
z)V5>Lw#$jM9LC_yGXVI@%URf<6L9FqbTETQmjK<gs|y$?>eL*y%c&ic>rVMVIQ}X<
zKM?J@=$AEU4XoE-pKN61%hNRsKBgp&hmwOeR?BwXoB`h@2~yi8>BaE|IgCjvPw(51
z{PnENmPBIkE>QsxG^o0y<;I*F*V<IqP2Mcq*$k#l4$7)<3ph5oM(VC(Fx{%xq*}?z
z^LX}7;LS0f0IuUS_gO95NYkX2v>^!sT-gC(J4+|yQYa=RTSqLCCf2sAWTg>^!xrd7
z<};Gpk~)A@i0=ijE{ty4*zK-P!q!k$)w@r&kBECu15aEXp<aEc<A;X;NgLXf0XM&k
z-K+#C0b(HlpM8>Ft(KNaXtK}MvQoR56U-&Uba%J`5~}^->Il&}seq{qD;(Yt%v`ue
zdBfXI!|kNesEM~)kRT#d7VB_V4aFs$N=OLi9c#;Oi>bY1N!t+x0UiqYWxei^S1y<3
zjU`M6$F#1vuY#$-8&Ybf;T{;$_}&hEXse$M+~Awl2z!P9uGEy^dFLTvTljF}>@s?t
zG;2kPHM59ijO)ap(ks_Rrl-6zHHFC&bceEptp#TPDhUwN#<rbICb4#CUH0Si)n-9n
zUx3D4i6fv?7-gvu8?<!`uZ`E<^EhG7v4*>L8_mR{s;ApG<xR?R6<klGz9|WWlFecg
z&^s$wyVVc7_Gn8+Fz=vSFYms#K|S*QD{O=M<@vqa00M&MR`c@bug%KOX7Un21ik~&
zsyva($f&<8n+Q3XYnn+b`W2CN`Qhf?*R-tj^*K$&x~#6N9u!lA*lz#pZi^3|nhp$;
z$fRdep2qczAcpZ;J%kv?Et%geV`0@OyhmcHHI}!Vm4J}|@xUNb{82YQ>;b9Cu)l=2
z$cC(xfkzb)lDITD)EHzNTXD@CT~?nrYDNclrjEvRr%lryO?)g}!D7I%W=0-QY|5!b
z5zYD~)9}j;#Nb}oC;`_I8BXYcR~FZlp56wUw5bFr_yIwm-q?^o`pFe}`(_^TLi}=O
zxFL^^lo0d=u|pz0nF!TX@SL?OSI@u$fQP}cLaVd`)DGZ{kliWEaicpd`&adxOmj|`
z;I+XL0=GUd%pqr@S$S%-q~b`xyHAoqpR85`vXHIe$EF~MMx!#4468ORz>NfLN(m4T
zBy4Kknz%6&7!%D$14WnsYqE|-4vI~mT9nr))C!lV>rUBLFGiWitzFKIYkjJ#4(Ymq
zKx*}RMfL@9^6Ut(oA$uQ?w83#3vai6*{u5H=4Mqc&Sx=&Jt*S@yy`=fz0>T#CRh>6
z+@`^jfg)@Lu%^6qaY_E<wd*pMsmc&mkN)C#OHPf{;qr$`HkhQqNj8;YK{g6yxw7Gv
z^VtZN35)9JX;__CFM_lUpl_l1QuHKd0-h;1K49vOVA-%bg1_&_#F^8niX2ANDNeT!
zAQE8<*HcAAzf0?0yyp63qga!NC!+HEUq32G5$jlgH`AhS*Zv)B2@q?<F+DU2g@SBu
zZp!Ayx@0mLncZy4Cz-I!lz}ZTO>GE42}Dw%=}XeLz_bRhmNo0P=P(l2=)Zx584{kd
zJQT--u%ViaLeU6E;_3&bUV|wT0j@5t`(Y;W$$F6sdidq{zIsT$cw$^lcvH{Jt@<B;
z+dPn(wk9=bv9PDT{K1_3`=4Kz43<+G13<pAuO$zUwIl^My5Zpw86Fx^KHQu}8-Q_n
zD1aa~{t8x@t_qY~sbVAtx-hhDfE+wYs-y<4G!H%~_^?0o;f~&C35Qsb@Q4ejwlMhV
zX;vi-U)9HxIr+jc2zxjnL+K$I8X3hk4GG=2_+X_FOec)hs#hvLxdHplA~f#9V^JBx
zDkAK|YTOX2-IN4~1-HgcZz(Tk&Jss)KgctHw@PnS%7~+y$4b3Tlqasa5!b}0{<tx%
zvCI=1(=5Y(8rOWA<Ul7D^TPl-2KHNJITgvtQ<%hda?~TE>7)z|6VoFYcuZp8kt;6Y
z84FegtC!*V!rNq_A!o0{=8e&}eIqf<jKs5sHU}Bo14r7L%;3ads>pZWnw9_f*1VeR
zHHo0{U)$f1W5ZrG$!2(DM21pur2|1m;7-R`lZ;dBMd;Ruzab+*#6|$nqn^6d7~vhS
ze0a;03Xx6Fs#NVM&{J>GP}b<z;6`wGTu>Dnh!-R0alsFQuPBekLDoY>IWpvtv7v;d
z`QyRs8A`(wATFFC#%rNFRRV)HA<V*DDf{F)h<kY*^~R%;#?oe%xOp$^W+Y&Un`RQa
zhmyGY@c`2yEZUI{)MPRU6C9L*Iu;*j!ZgSD@6czIBBC&jV^X<MP&BHMss0nyny88C
z7M_VPFrCKdc&s2#rL$Pwrirkz5lN>triX`z;YXh6ddAoY9RP+yh^qrr$p#**_itoC
z{0%uc7DG5?Vjn*ZyodqZ2FiQH+~}1|QU1#tGxB$ztVtA0jvdBoFJGFd$ut%trGID|
zT5Tc`S42&KvmQatPZ%LDN#c=QR^rjTjK)fG3KLzHO0X{%gIEvGD}`1-au`r4HoXA7
zf_R&-32HA$Hsona6f1JXefWU*Q^AHzMQbt^u1OSTnHXm{Vm2FRY4Tb)W0OA|v`O-M
zxQd7Kq{wNZKRFg$Sn$i)`MmgldQJY97mv!mF|6!|4hI$71Nc1O_A49WR%8v*Bc>Vp
zAObBn9LWOPIY}c<$-!7o)+=6_FNH7&-@$aD;gcdT%{NP}k~n{H=m)N;#LyEYiZ{^&
zl$-HLU8W*j<IyKEJU3B<i-^OMC5g#kd}HLSO<n`9i`QiA?tBCAdN(DAw%%Is%9Tt@
z{_4F&m;$Tv+g~}10m`1BZnypBd#AuakT!{u?8P7EYm1xmpI)Dp*JrYl#Nfw6i0=O6
zWJAWVSZN|P1j5$ZEd8DdAVYX0OMVC}l4mRym3+P+v0`3Ih_W|?=zvGzYg)vsWv1qr
z0%lW|;XYW!O4M9ZjIWx6Il@pOz5?9~MXi_}$C{4mP*Xy9?PFxNa2Q$#rtT8Z{1~!k
zzwDpaL(=B;B>;SqGLIi=k+@s(i$%Y@bt5OfSFg#pUpOjLBP8y@)k^lxqk4D032{WS
zB&LXShCYo(Ba+9PToE?!BF1o1An$#clv9D$odu?IRYc!|Qc^{*>>2`SH?ZnDpDiC3
zD}Zhiz@ISY4@84arG&)%Ekx%F;d#OAMkpP8Yc;qgS-VM^-;USBXN##KZCsbvyCGkN
z`G#)-7dL$J11MUX7{mGY*N(`(QR08_u)XI8BHe_2Ze~^f_|;jtyjqfE*e{Qdiaa`j
zg>Yd?P=pP02tjqLi7Fh-Y2Y=D13DFik1T_%ivV|-AM95E@;VmS<%EGIUJv<-$<;j?
zFz_kThBl&p002m?oa2L;gNqgrtYK(75j;4Y-AGXLI^1MUFq@5F<#q5Hve~Sxudhia
zo0AV01)2$#f2zPA_i##n_k|-eF>Ez%BR89Fl>jl#565`8z%_AP0-nu>7^}lQj~@;s
zYFy(vaI|ge-Bd)l6qv%aPh*<nKnl~Cm8srN9Wx^_ZM17Qrg>$=b?<;_HnSlcxssg4
z+=-9ZJhEA?%jxlm{I5_-PV65-Ee@F)y`Qb@?QKt!Hts)uwP9ledA@mJN&e{PH)Op~
zlN3Beo(5TSz%c=hndXob2%EqnQ4&bKU~<ENz%ryspp(D}cJrwq=zJa1a=C6}ogjy*
zZKm_mXO^0c4`vw#tLKb0zMisQ5;p;DKy5VZ?XJaK10S+12zvv>y@~Ywg_gX%<dF=B
z`^BSa`R4%lSembs{9f*FV)v~Cv;+*M-AakUHA$P;=5Y;LH!-h>8${1dJufh4_<?DX
zG4abd^(5_(3)e=oH@Mb4_y22%yNI{gO?bFuH#a1MH`|X_ymEHgBdbN&x3Ns%x8Ygx
z_^~nkXwYn^ucd#Bdnb3#nnwsif~j1s$xlC;mp}f+9KhC+iMSsDp&D|01iqoL8Ee93
zV46<sj_pX&+;#<0huBHL1SvIRYQFps)MlS4SK&~q02*Lj^Gd478}$ihv#+#p0Fc|A
zTnFp1Z@uXslgA{d29Dl^spOTbn`rx*{PV9JmEj~ODp=xngk=+#1l*V=28l^35pEp2
zaZOU?GiEk}X;YWDG`KdHHhq{nw@O)u&lTT%RolwO?Ul#81&l+r@HXj}Ik<2A+n2A&
z@09BD{OL)h1exdlR&DS0b9<7sY1`%Gm(6@hzW44;`Kz-_%3bdOmO%f~WF5}@UWp-s
zSQ_qpoZd^)Bfz-bjwszX+<=gv;%0zsv=*i&ueV*+G4(xowe&&*=hj<JW!~Zs%e#qN
zKS(Wkyp>1a9(ixYFF(4t0Zjzp{^}7)s~KjNxNjlSfj(t0Ng)uUd@eMeX+qITfx)+1
zPzJY5S<gHZ?)Kc}?_}TfPkT7`xuz>^-KV@ccyKi_N5L<P`G)*|Kbw_Ip(@{caz8w)
zg6ewB_1sB6yRFQgBW(hTguS?)lfQa>R(^76L&5={9LKDyFHSWu>&g!gk#xs>4unn8
zyBjyz0F@xn<k?Akf$__LxnEm`xYYyY6i~zsd*A!Ze);}|b;K+Y`DY;RRNQLZy)v}N
zTP0wg37wKOJ9swucGtR_m^SV5nPR(q6K2X|dQKhoWH5N&kk{wEax>eK@4$7J#QmGk
z9>OYA#5WZn)5_jT_Y`RpNW4+k7B=NS!h7PwIRt%&hsYV_A<~rLct8@#^tK)%ck|Y2
zpnrDF`SV@_`!mF?+Tfcj<ng2wV4m^F2djShyH7#f(CYu`^G76!#Zs-Q<nu~<aO>S~
zTvO6+Y-^31UM2hy$;b<s5cC$zfLAv?@}ECiksM4Vzy17SOnql8p1sN1dxEsdPx|(>
z<io40@`pd0!3@DF1{?$M5NTrVN6c^pNhLAhnC65Tyl&mfLxe!tjT^zu*I8rZ=2QpD
z=BZXed9R!Uaew#x8o=(Ae*$0Ec!U#htf^!--s?fTW`k{}{1}bf<JpksF%c&M?fVl<
zfB*624avg0<afS$SdL7ll*UbVK$ShS`TiBQ-TZB|c8ygpF!=Yz`9=A+Kb?`~ypCD$
z%w!WTeIRVa6HX85Dd`;8-~b12I&c17+uDFunh4E4c%8)5_%vp@RT}Upfv@dH3wgvZ
zuFLT$taby_k$#ojd$QPT_tt(NZD;2jB|r4O!gNl|eL(Q5P!*GVylNuQ)paanypWUe
zWKhk%B(m`izGsMgSCh6O>;l%6`@wrR<d5FCf!NoGF%7%*bNiYI`UICgOh6f8Yy&J7
zKn;5@6SjG%4RITA!+{nPAVA!R=}^Yxh#VpnegIH=;Y&{94!~8*61S0_O&@d#7<}`s
zk{=HSCq0-EJPhKF!tTC-SUmH&nw-Cxl_AW;Jb;<OtfMjhpntpDU*E1Zj~K$Hhsb~a
z#jL#a@v8FGJc0qoXQ!Gnox%bJ7;xkaM-sR35aG=mgpJ>mfaU;>-t@@-mzqV`xV<Wp
z+F!rFqGa}uo;?hIT6zgUaTyHp3<3o9^mpW&GVyIZOO&|;vnNk`^Ad(jAfsQdAxa?M
zyz`~1eB<%`j!WR~$M~+)v<+b|tmWj7e|kk;zPOH&WWSt3uqSHRQz<N7njAv(Fb1RP
zxbzJQVVkFw-<KZ(np!s(S@k348cijfW}k<t<U_<N2|`Pu#_fl#+iKiKdNzH~C1CJP
zY?Hu!_>dbIL~RJMd@=|&mBr#E?;_ZgACuh<jmKdQ-2KYQuF|xPCP;1Y@*EZ|_~}(S
zw^US%7Mvb#$y0FYQ&ZAG*o=s01{`@)2aT}J17|dnj>e5M(5S!Mg2s)&_t!FB`LlNy
zLFyj)jV~UA`A7qQP~~OhX4Bmv0pgojCBC(`tz80-V3ns3g0a1|=#v>>{5$U~N(M1Y
z{^7HSWHc31<i1-mzH3NZYu9=L%h@Zd@*TtwxsF8(M&Kdx1QsoLWV9hEME**qh6l=i
zeJ77rFL6_rWbUsZWF~^b$}EZd?FD5j`Sqs`Kx;8J?mKDSma!7pSqYGQshH6OYW96<
z2IU6cz_Fwm@O*yFFMs<n;`6{I@Si?+NDhoA6>+1&u5%3B6{Ky<Ayvda_}RGy`SUmD
z5Htp%Ofe<>i|`OR!2w51Nly(8WAOq#CEW}-?kt=hoZj8UJ)}sR*S02KX_a8(Ml5a+
z_n%;bf*%_9ufqQ4r#Z#C13ox6&|b+cB|x$!#yR!g?5j6y@47srTmmu448;A~wTx_*
zuE_5`e@IRp7*@nhv*B(U%6Z^z+J>-;@DTaix39~efmkXC3%L&-BG2z{$}z+cNg?L+
z5bW3V!RBj{CG7tACYX&TqDUD~<sz>Pe!sz($*})@IERq60goJp{f`rI_L8eqf2r8q
zy&{1we8av?J2$3JDwo$0#HkM<Qp7qvOYnyN32;7v$#&DjQ7YRS=etA@4>V~T8}>%7
zEPwIyYw|ZAE+Z(qR}QDV@>LM_fwT{vAt|+7Q3}fy@%6|O_N|fU1~xSj2D1-&YFI|C
zCTk$>ESBCmH-|v@A&(lk;qp&b<G!^_?b!!M0>n2r^JYn3ZZ8%K=E_pTSe!fRYe7Nr
z%NnA6zB`*io)>Yssi2ra_y^~^Y<DFOBx&oncReNj#!61U^U4+Z5n_m>;Ffl3*dxzP
z*JTop^NCbiMz9PQmn-6H5r0|DP227Z+k7nnf|{hw_{WC0(+D=dhGomL<(7OjpTl^8
zR}KQumbfiyc9R5*Vq!4P!F8peAmA0(RZU~zkxeY>kijx$?|`^tSVigpmNC=w705de
zwz1@aB5gH12F8YR2mP-lA75XWKm5s6dHZHwhOubDW8<QNK8;}o=VW?Vx%6?(L`&G8
z?U6E|G@#~>9T!X08h2e*p>bzQEjdr(#%zTHqX>@)Agk!fNFQuSe>Pdz(tB3|#JL;e
zByK8%abFc0b^~s&Aa0lh&tA_;3ky6D=aG<c34Cx-zN4hAHEInS{<u+06f_qNc;nM0
z`2#q{bFtdVSOAL_z(Zu5tIR|(;K)U8^{V8IA;Ozsx6dYlUgBoROHJGWwBzHtffZdp
zna|27h<iVYo9<OkH`)V5AMxJV%}U@wlmKzg4>^LSQ>CB)#bKBPN5fc*8#9F0D+uj?
z;Bq-k)H^g9l|(e8!q93)!nXpxA0&w1SML#O((W(se%R|^j0{G?7<B#e{3d2HU6%$H
zEf|Y><<XI<JUSJS5tu_5^eG;PIYfn2wdRn|`=F?M;oJcJ@TD<M5DH+8KgJ@FRXKw-
z0*kePtb@4!@~xW^^uxwIky3u#DS(=qckjkFxoth8^X*?Nft`?mA#JX~iV5v%Su_sB
z2mG7zVh{uIVK0_3^U5nQ!ERs{<-hp)QQ1G1-1btHvI&sy6wdF<a%23Gz0Wuo3!Pob
z%ff12HZjn+0mt_Zypk7@pT`nI>-idf1+g$_c~ypdB?Rw}%hdR&9Go7L;|Io+P$_t`
z_3Oi&vuQ^HidcK@2bV>gUCGMK{D#agt;>zY71_va%4Q=hmC!K!Tt(6`tfPsyoLJBY
zTenY!Vjy~~gtH%U9rlmJ)Ig5uWv4-HuEVBQ0+c{EH?*XNrPH{K*&J{_JGUs;f&KSa
z15))SBwKCBlha{&?&O$SXgd)NV&(U+jHTe@;Nlz8F4JCaW8S^o?m20@1y%z&%wg*J
z*=rkeZK)uem_}XmVA0P|MA8To8lskmAV$?vP73*~RG{tg*cZa9c`zmw4<}(aB<evF
zKWN~m52od@gP8pY@-Uj8yT5xWxZT*cai8S1H?UmP;(A^_nAwmki2ApNAIyq`;GKhb
zC0;C-R?e&Y-~mu05w4^?B*92rxlk2rm?B&(OSM);jWX<m9yu|ckSC9h$SBsLwD)2+
zqGRt}vr-=LwG63JIa$sW<@^os&wNG}!9^Qbcd`VY@gNdrGnAHCG$vuJ*;@5S#Rqdr
z(A&URPeU*z1jHSZqmv1FXkQX06fB;?!8dH~=SpSV<3IO|w5idV*9U6Vm*+O+mGdjG
zQP)8NaV#{8#dPtS9RN{NW9BOim*(P%&lF-YpOIRnB>rFsE0iPPQv})^7Qy9>pr7_y
zE-xEc?6X-f%aey<^6ZH*xb7s?4Z7b#yvO(Gt~OuCc){#a2KQoFE-hCj7><Hy@xvE`
zf4d)3fN|Hjl6;x>ppeCSmo>y54}r9k62d+3WA%7?lW<8lwp9gzujh-h2F<)yF36dE
zVR`=4xSDaMW0^eoqw#lDz_zgmLIQ3M$inP;31KgOfmqw~nY#Fb5s3o#DXbFjg&J5b
z<)s9^A@>ABVTmIQMl7BN_XL4+kJQ0SdCU_b!Iz=Tc<L27j@975d}3G*!ekhRR~t8X
zpZ8J-_k^_F+Af9lqmLHlla&Tuqlaa3ct}N*BcWqyP-(%I&GI^2Kiw%o+;yyGUaR0-
z1HSQak`IIs3`WPm=3p2#IaMF^@};ueSXsqN%~|=ziG+Ol;Ys`=MwQImKOFZ`h!1kx
z?t5_quYo`Qa9-Y<tH~q=a;HXzB^nASSyKL7f4G4^E#3nVH$lu*w>c%)j~`6l0}tfS
z%?$8pPapdFh!n~dnOj+xB@p=Yhr;r;Gt)8+mqBjs>rff?kCnhZkbwJ{&lan4?%ImH
zf;CcCOMXnGNkdu0jA>}n)V|3*H7F&uYDFqgIGB=OLQpD0Aa%nzEK9!O)<B&+aK5sU
zk)_Q|%*OW03#Z29<iQb)`{-vwm%Mj>?>cE4p=FB|`RRvq^5aW+2x<fqHSne2FUemm
zMbY^3j#{i!=R5M(s)aIUL0sjrK(7Tw)D#`*g(Jec0$))W=%04*i}TAE6)wm>e0)+K
zKR&L=eUQn*eD^XIJb3NndHLS?b!Fx_Ix!BDR1g5<O7XZ4s-TlVu<9NlkN3f74_thh
za^`(#Z@k&uoGfbKT%fpIfo6kyQLkp?e|Th6o;yA5iXf<~*uPc+cUuAm?_`LNXV&Bg
zA1=sj&M(I&$M80pRO2p9C?#B=m>aQ8?2~JnjXD&SI+;a93-tM@pb*#{ysIPpVZIMI
zuVUeqxz!CQjcfA6luv#I;U5l;C7iaqXieqatv`2_w9Ny4V>v7T>5W;rSq#eQ15*-@
zM%1e`f7x6zXn%)}SacR;Nnt9{Qb=y1aB5Mw4t=YXGn!azX*~nNSdgzDk79M^gIH2a
zn^gKV(e8gQ?wEVA1{>aAy)h%7tcsl4KMnhT4CW69xV?ghAlg~PGw%TZLwMWEk9VT8
zv0rsBpmc1&g!S=_IeBI}AiweSK^aL#d0TJMR;L}iXC?4iBw+AfDA(kB@6O6kuM{yz
z4l~`@5VU8kZ3C|~mLd3vSL`_{0gnIV8=mKeGHP7LDa$N#iu-!Qd=ip3+OA??^YY><
z%!%vr_rCxo<>4tOcF(;r4c;}<HbOf;vnqe^>UBig8<WEmWBC5GkwUwMq};+XU%ivt
z$?5Ew8l4=yr?tU$gXT1fbA-28sml55b8;wAlmGc^$7C1-mDDKB0GTPiS5tE@XuJNy
zpI(!yFA2g1kR0%ud$INV8+n`5fV*?tT}S6DK${}2lw%cK2JZazc^UE-<#(}e-vPK%
zu{>a5H!Fd=BLN3c^B7qC^PkViJe0+U4opid9MZ}n&TG86z}fDZL~Zg-rW>3Nk*hM!
zd8a>3@+5D}F2-j)o0khW=j7=FLHVs`k4Q`@jCY^7?+R%fl6e2plKj7~&0#^!X_*=s
z(!Xv-4qd4-a5%qqT4U}y?Hm|UnsmD|CZFP^JawQWkxxMuac@rkw{M(Kt23MHH0AeV
zYQE#8xpn#Xugpp`F)GKV#+6yBMWeMFd_4j%Z!gR?Z!z3A@;52-`fcXCNzJ|B6Em~0
zB9+pr{L2@P$kC~^CGLI#w0WOf0$1R!`bR&Tl~!m7-W`*QTj(KmtBpjiiPtD6x-{`i
z)Em0ixm*7loa-|!rCrlx^1-#6atsRN@4g6yF%eOH^s^RhZSl@>ereJ+B=OPJ75Tqj
zxgjSH>{rHqdKGkOQ{CV2&aMunC^%IWJ4(pTak~LmyGqE8q$wnl_r;rw5^81S|NOO+
zd;ay@+>5IV8}fhucm{7f6POS)3~d*$hP`rY3-AthdSuMQ?Kaboql~o4nOgUa<u%D>
zm*xNX<`KMwS>oPKhBp7sBw#RhQ7I_b5sQd#_alyWt$9PWv>jj#So?M7@Q5-IqJFm#
z&{XI=7>4|nqXbHSG&?6_fr9+YZ=O(Z`sUd*HGi4(mm+O*A(tVvfBnO2a&U4#G}@Fh
z(06`W9LXpN>r3r?RdeaRQr%j|lw`WKzWZ!vpCr%MmQSuP$Yi)EzYmQ&6$}4z1lDQ(
zf!Z_of=jUdn;%@3U~E*Gr)Zw&`t@|(2Y!LAvefrN=imB1Y^m=Q-%c<j?paJ|@YL4j
zfB(jDnHY|@NqxIIHs4C1p9BovX#)Izetb=0$#FP4KtX}+x@#jQ-J6DYJE!Z=1^501
zI?s!KKH8<ac8tP!Ze~vQh0F5$l^d7>001BWNkl<Z-#ji!@(!N84lj09`Ai3&+ebxx
zKd|ERW?uf}_3JV|GOjdi`ebwC1=5a8j_9P^r(2m$xz7*Fc7L2a)eiT&Kdj%*!y8b0
z-<^+rn$m0arkup<($%bAt=LWy>$*|uYIpY^et-Tz<x3U$i`QqQ5lG2F%pR@ayYdCm
z+zWLdaBSp$t9xPYnYu5kjs9}(x)(k2ci$KGMUDReyoj=mxQdO=80oxjmb06cz@18f
zm?ZhFVvzkiug*vyI*hTBv{Dw^F2pFK@COx5xfUZ;|L{O)&T*at9MGFYeNchvRxavb
zU*jF+*uE;OpD)#ybIdWkI(X+a?CRI@e);RyuL*haZed+}h2N>PT;)i7TuJ78@7|P5
zJt}A5gI#tATdA_HvhCf^`f%b~;#EL3$Nu_NS9VxRtk1?9+rT-RNlxyYk{?~3L8#GX
zc?P4qta3Mg_4;(X16eIK*!!dRZ^{*{K=at)F#y;ZE$^dCf94Bxp>4bSz&73Yf_H>v
zxlzu15V!%?SVVYS-o833hv0_z%_k11ft*fhRm}de66h-dg)0E7T&>A}eRD=u>k)Z$
zdK6ql_f%9-0M%IQ#~5k^&75}i;6Wbd(QMfa|7<yd4BeG(j4Y+9<06>SwV9@p(+Bp+
zTi0e}-$ys$5_nJ%_b-d}&!uVW2e2h)FE7h4ZdCL@7v0Ek!TbvSK3a3bd6wDc!!ljv
z=s)R{H7V<M@AG$bn?5-Zf%0_s31Ld=;fV?P+xM3+eHF8sAX%K+^&4fu?{e|xn*8`;
zPL54-5C%V1`0iRR`b&1n2z9o*2PU87YW9u4cCYMvkLd$z`k`RWzVW$dd0v+X3t2pb
zAJM-(w=UNfGrRsC*e`G&CBTOk|KI#%LEf6L%R|!>iXb)K``}t>zny$HceL@1Hq9HU
zJ5S-8^<8ba>${&3l8LFS@*xuP4&4GzP66v5ZOBy&mbw*~&nvahOxk=9NfOH&dHEhz
zl9?VI#q?)?n<V(9`h8fBg6aRE(D0?5f2IuUC_y-BTd+Ot7-99M?sjPF8o^=-d5OtS
z&&?}WG)*gLY?p474=^FwLRo(J;i9DCn0|{GF3Kkr=gfWJ+lJX!DbH>DaR7`Gx(x3M
z?}L_>k+G@Ib7r3@&$ACTL5eAlU1eCF*B3+Vh8W_R{P6t+Ovb6IayVr-D}ik#KrE4a
z7S^)zcjwlipiE%KwC~p31N3%b-(Zp{dQw<bWwe5*j)__G;W<|u2H*O8r%t=Ps^=)1
zXrH{3K!}J`a#&tEyMSl4q`m|D{=D1&&)$3gNS<VOVy`NFW@UNPzNgKY?lC(v+*wC1
zxjY=XN1prPB%E-7An+&Qa1ivfpkMSa2oMCEfV+bPLK5$|T;4*w<t}I4aCdgc?0DBR
z?QM0JH|aC0^!dDq_x(m@WmQ-Av?-I(ofYv7A1_|Kc=00Q#k~`4okrH=w_n_mnR-^n
zp?!~oPz@^VM)zhmhA-mi(X+O=NX;Y+4rVn1h>bH_)3PAV!<7*NQRDeAx*5-YF5Vi%
zBct;A)iP$iMFk##y=#qc-?^)^@*ytI92y%!Uyww?1a05U&3@?K7l3=v4}_8aQyW=#
z<ZrNUgTIesVPPFuHOl>Xt@x9frhJ6kYkgRsYFwu4nH~hXK!60h4zbA3KD;H3{(=k-
z6r30kafy@dKaaD-T;i?&5f3>+_^o4KZS{!agbbw1g?R`6d|sNT<*(%jaV$P6MN#FU
zv0?dWt|cE{n$;VatjGPDdy;9h9EfS;Ce*3Ead|}!j!Y@r%>hV&qMrQkg+0!utjGy}
z7(k;jv`PBOgw9JpHL`Dz%9z^1d=#G{gBXWJ(>Q68b9s-rY(#26)hn-W_az48Jpk|c
z6qF!ADa>v(1Q9{Ev{I3upIeYaBg4vd=te676odo}fdqSFKg6vjs;RNQ&~!errbi4P
zB~E277mvXk`a&zo0Q`J*W;fxPOeS!xen{T@VouH+gC3MD`+^aBrU!v`2#`P$k#5W`
z%bQm!a`ezqaM;+lA#=eAAEDdD9FtRXOpt){+p#*#1;$(Mqtn9>*@s$O*eWlFcSj72
zoi)AKb{J11{sdQ(&mN^_(gOUsa@cOI<J#O4r>!#!WRmBvFUXB@3ddM-m_@i0K;zNs
z=u`;Y&JQw7RE$bi+!8&A!!-C&7DXjR;V)WhSUwgvvKim!#d4#clbLFHEE7NO2Aj=%
zTS$0lY*2oAr7Cxznv@)#&bTp5c8QB^Ta(Mvi*jLMT}FyU)woBkWb6yVHn!33pdX@s
zis0GN7wi-K6n04GcGi8KJ`MACeXv<yFb@ZNgTLYc{H%YQ$Y64)D4)!?R0|vNcX#&1
zE<u@HUd<LxL;dp88CBIx=8O0PG;|CF96(j~1OB^JdpriBFvKD5@>}tm_~?J?XL)R5
zGp^;u!p-gS@Z|+@7*1}6E8t-~-ZE23$cK1FaeckxXyQHe&9*sh66}5uxCL-_?_Xb$
zsUp>&_M<X9%ECEjGs6&!Mx-Yv28Vt}@!2Z%*FTI9<Q2uz^qP&v*y@kV-(o1xn5Sli
zO-TSN2UVkMl7^0wML95DgiJnV(RY<ygDm*1ON%lH9l%K}fmBSzzGw%5Z<F`*@K$gH
zt>t$-^Siha>@;4OB6J6tgibBT^}F&QK1rCeg}z8bHE&;X0OG18=tm#Z=b(U4VNN~w
zK8JwfA^uEbAMLZ-RT&#T91&V$YaPlEZ-`+r{t%~WY!z-XoTuY-L1Pu=)J6csBW5%w
ze8xVpyFD-Xvl1xJ*_MO1;h#+O;nl4ndFSGyeD(AMR{h|a?*rHGiPL6v=N3!yG31a#
z15^U#W((!OQ7Pk~?AzIFhs}s?mSVgp4%$Ru@w<C^7Z;N!;Sv0TJi`2ZUQzx&%$4cO
zLS7?~#lLlB6)#xS(8aD^9=to=QUpS~7V)Ot1?a>c#N)<p_nhrRTky|dY&N_d%oUE^
zVaJBYaB^|t^kJH?AAG(Z&Jo<Ba@xb0pXKS?P%e+Fz8_*R-T`iLW0iUIOb-GE0mTPQ
z@Sk2=lBHH!)d}-Ro#HvUTKv=19N25+cxn3|F)6}*IJnviaa2z>flS*8Cudt4znWwo
z;ZMhsU+Ke5`sL^oYvS-XDueaps+DEK9x3GI=1R+-nsRkPl6x}S=Cqk>4Jtk_;fb(h
zGOdqfHX&2$yxz%5Q&!Z?sLT^#YIj7?Bn*SU&TbZN)0vyZTmX+iaKE5Nb`b(+lu*kL
z(pjeLJeI&^RX&%KX*{jP-P}P;K%HtBt@s^jqaoCDeSUgbD(eXuhfZwOgY7HJX7Wck
z7|b`cgYaaW&H$f=unIxg{t+Z%Cf=wsNYu4_U!catAMUPmsr%_nKb|-%;Q`?y>J0AN
zGVR$t2mn*dwT4{2y^2Q)iprdlXh*09JTiPzVCjc}t?k1+)wc9ZOmf@jL;)R{wI#tv
zluFCI8=l6oLD)gv`OwJHdJZegWjS+nRMx?zB<_*h-WJhz09n_gS)Wgr_0<QH;j{}z
z+)NXag0@B}Z~zlfgic~l&{#PXw^%z=Hbqb&jS>=MNIQzagl1d@?n~WF=W3_~1R+`<
zbU3vEuJ<S90ubTAI3BEp2E5&32)`D@Qdein(n@3$aO5Cp6f|mkm%%|pgFosI;@{B|
znhJkd24T#lnBp>72>_39B-cRWEsduh>gin;=%Q*VbTWNtxRJyS$t;eIUY{%D{m%wA
zhwpFM80On^?+pkzTCpy-7fNz{r70tPDIK^)`V-LzHdT?UTbnuJ1EdS$DPH>^qANEv
zogsbdZnQo@prz2k;mcuOZFSS!9Brh&`C>LFw-y#<rBcVUW%o{ZwnemA7gm;fV{hQO
zurwZd)r%DHiz^*AGWLyKVK~9qJ%r2S288xCNM6YOX3?e)>;#CK$kCo}=a-ekB@6*+
z$w`d*k{P)&TamBhCMTcKx}Tlg&hj3`H~XRn&SQ27uR5kjwMZkR{IE85cXig#AQbys
z`hMiZ$Cc~wAZnR^7B900c#8lFiSy`mSt*|Ow*|9rig^0zJWeHj4Tzk@i5_NYh~E~u
z_pz@apm+ezZFaFNcd7|_VhFmi!E_Oy9NHOm;NT`6+P8tp{OlXHk4Hw3>Y80X^tQN$
zt&GdN5CIbjFXC%tm_`W;Fk5Z+ZFy=2@dpJlGMG)t)s;0B2l6n7n+V!QRFr);$M%Re
zYR={ODh5;qgLoLX3!Mzffygqpy0Pw^CTu6ex<paG<@y?wIwj?qK|JCMam<xv+~Y@L
z67$eRuwupt>j(~`MsBMgJqW0N5b6cIZ^(BL*Vn+Y@;u`XH;P!O`vNZ1ELPVfo2O_5
z{evG#sRxH5qT&$R6T)UY{Xh^f&1zk64nHZA1#k!8e%EkPXujN%TdNo}L8d4=#Mh{7
z=F`n|)`4<FPMR|%Ox9ow91>egy5-RG+b<9x`CNktZF#jSwe^%LfFtcO!*HUa!x?q7
zAv|%D%ew$wHE9BVbr6;^M5UxH*%ZVSOwJMHvo|_c!VB$WT!`caFf7<lbWz}^V+{4t
zxLO!9@fm1I?SD8{xyrxUNZ^UYD(DWlQ``{ltY3So_OERbZ32V?>&|iwZ=pMd-vr!d
zRf|>`?PaxnZAc4`3MQ+k59j3fP8D=Utzt>^f4o(a`38UrdP*)WG=vTFVR^JWjfQo4
z^4mvF;Yp#@Y72S{@Yrx3orer}I=AhrzJ^mgHCb)-O92?C6R5JV?NG3OX!mUgNM{(o
zIdzo)^Jk9c<d4n_$YeG^DRB7z_s<sObCici*bS75r%W4_8Dy;f?Zw7l2xK@l04`R!
zn!^Ojj)e(I)$iV){RIKV1K>gh<8uxiL_U=TQuM26Fk(=MgC4;sN>!w3BNPt7Lb6TP
zX1=yA6C-K)y+e4sx7w8VuGa)_vMcTz;xRvF^$cjzv4MW6U{HK`ry<MGi3i$^Tu=*_
zy~BGVtgnmOZQaEH7$l%hl4`S0DwT%PRUSLmnZU)k>)&k=ZRSFvy<Bd9sA16zDCq)4
z>tVILYgyeRprLFl`bA!OwkY2{l^5{5YA^|+Tyl}|POS^M-!d&7?Dc-gvC$DIWCc$Y
zji84t)EB=qEy5ms!Ht<3+E73(9gNtfFW&-k3_N>3GM<<3zEG6$#JXI(x+<5koXbO2
zmFWj}0!UF7-NJ<72rPSWE5mTst<yNazBM2}@~Tl314Q7Z3BI!9*q6>Uz3=@50TNhh
zgPg$%FN?hoy*~gvcNhiR&<Zx4MnpHl$m1HUI*|N#z!-iTv}Q7o_t+spxOTlF3s^pq
z_HY=HdE+=3#W?tr7Y1dJY<RgMHy7%1y9RL{C@15&TuIzrUHBc<iFx7IX5i5e&YJkW
zjB=^@GKDe5akO2Aaa%;284_4jFQ{h_Q5E{d74k0g2*)t}@XZFgC4~Eq8scZiItK2E
z@wC(yD)N)-4f)!cLBTl!h(;XICgIlXeSQ%*)UzYcD04V`{J4C0pgt-ChE356PsKRm
z6DHi5ZnlF&yN<p9PAT&01ZusZ4c!9Xga=L7N6tt4h#bTcIQZ`zg^B_o>cuY><=?$u
zmTTa=b66LS=I~lI;t+>pIl9X<hH+>9Rw(?<8J3TPp2vZvNO#N4SE*<1a|m!;lCV`8
z<WSwJGNe6@3K5xzSS0bzj=^RK=U0%RGcTVi%D*_9i*S+50-p(42hm;w#iiX3CXP(e
zcb?8G!DcSJ#7A;PJa<1=nw4c`xBFVCA-oHvh-3w?y7P)Vu8qK0xW(Vx-X_uZgaTB8
zhy2<q9Ka|lHinZcS-*`dgI8O)^Uq?o`P(<<bg5Dq&dW=PLn6-(;w?Wmm4urnoXMh&
zVwmOYE7D#cS8vS#@hmFIMWn`*4bz!LW9`U4gaglgk_%`mT-Z18W8GmK%m@|2PQBvB
z>ZgWu`1yE9)k40>d|D0;@WN43-oDwuOV(*Q4G~EVyTdn@@q#<#f0lm)W1lzcqJf-H
z5ZE2046rg|C%r0|j5sL;!EwZ%Yu`bDc-_QJ$Qtm9t1)7RqL>m_hhq-O2pYp0v)jSN
zvBR4s8E_^uvt{|4kE-(BZ;Z$&zJYSegfJz=6)O<cJ^R#voE=Td;sW-MaA@HPa4KX}
zNVx51_|1BfQ+9THx$eu?iRtm9x@b-ode=oW>6WIu-?oT0fk8q+Tkq*pl)!@2!~;+p
ztg(EMS{BdjFwEQ}o#5~wU#>&qKLL8-g#83F{voOTn8M{``I+qqiH3VGrj1SDrjrQZ
zGj+!aT{&_5o##@RqwY!=QFos1;3*y+BXVsGCMHxrXmRk>?i;p}L{_icV#$~VM@{nw
zFOAB`KvH-LZ?#mH4=$|8s~2n1L<cbju_7*sc@rPlpM<XlYTw0i!uT$neeYW1ICxFQ
zzUi5L4FNYi-724}$~B1QbV65ACh<&B&B16BbP2sluyIyH-a0ogzXHLmCerd<_-Q$y
zZ``kAd_G{1EN0{nPUa+uLkhn*SCSLYQl5@FAhO#-0)vCd%9wBvc!CXAg!gnaL*jRA
zTzmM<O-br)a^u=(7DwFFwJoB}Oxc(eMk(D&zwu2!{p%e1wY@*Sf=m~%%_P)d;&j=M
zVl-=RuByxypN>GV1WiasVCV<a4k72qzdktfz_;x}Cs42gE(+Y)4%QW7F%WC&_i%O9
z<|)v+)SWQtY=0CD0g8FBbWk|NbXoPwP_ii(uC2;ClsTQ5O3SyNACmI&to)ZdP&r8s
zWkbH^!F;1a+8q|f`?7ew9E3tSIp`>APtp6@mk=N$1!Teh6#gh3fLn<r{M*ooANPQ7
zxZ@&eAf6>ry2i5Lzkp4`e{`ZC$MSfP`rNX-h1KO5$^#M1D72O1h8>YF4RD>rD4QC@
z!&aIyM@djLP#*oaY5Xn$+alV81{;?J)m~qNEEP~wRhsa#Mt8|u8^{3}8-B1!u&t3n
z3$fY<!6x?@dm3<55t60V4C6R){yux}!ED;g4`PDY)j{#H09=MdI|$n8PS!PrIunt}
z8FN`iIJJQ~XapFOP2j*3abIvlP`L;cK*U-vmF0VHEy>$6m^q;%<X?VkT)r`h$0Wv*
zQn?A8*br%LB-&xY&b?(num<ROE)&V;u-u;MLBJqDT*snV8OA2$+9cen+0U>&MEYnD
z(-8((Zh?&`WOyveIyb|SWEH1Mj!)#}o2PQpS}x1~_eojiQW+NyWmj+{xrE_RP)09K
zuQ~f-IRV7eK}S^(hhw#lyi#Zw+s5&6FJ@ar+X&x~p1Z^DK1yN2&N-s3qP`Z6026?Y
zs4$KDat({Wd5p%LfsDs31~H~Gmd|*OK)4pNESHwKIm2&ftUPki-V2t+H=EC;ji4b}
zg@Ws}IQ9;8X>)O2G?T<J$d*oWNwkrO!lrhE3tJNQgKL?KNq3ymvF)5V3Aa8>(sMW`
zk4<}NVW;~Fu=N|5DpanBzdDgJp6^k*47QdhbEm&ru3-Py#oz}oFVrEo#F2C1s>d0#
z{b$eGhY)ahlf<%;xY5A91mY6u0I|d2nmU|E1R=vi#3A~@7!9La{qV<)3H9M0)d1QL
zod4?S0U1F77w4KXFqoF#9ZJgpIc;nnJ~@_=)n;8*95FKNcH@QB^$b#s-AL!_z%uCM
z#8U^8Qb>c|foccAjB;1AEuzg_`oIDep_M9yC3FpPo<u6?8t<T|1+`Vw7p(*r0HRGG
znayC0&xU$`%CzS|7{-TNx?#ZHnO<$m9h_!3j0+x0oP54kmR>#G&}!#laeNZ(SeC^e
zC*k1+$3P*WdZ^uT8#ZR=8rG3Dq&=8}F6w@qoktt8;DTMdI7w~Zc6J!y@1k@<$9*Tz
zztdO_E<&lzv5AblG?|d!d|JV4*BLoG<j`deD=p>`{S586R@DEl4*H?s>@3T}n2kXu
z>_cjc98W{+gMp!y+}T~>8_=^JCIl2$Q9uSV(~-=&l;#>TMtQc!8J0~P3~m4Ai8{X&
z$>MnMAyeqaNsOnIXg9%a4`dQ@WQ?2eA}3D_>Q6uPPe#7`^^8otJuUzKQbPtHV<BcU
z7ydQfB|LpXA2W2t=<HXOP=H0r1>5LGwZ*=>y)B|mBEikB6bSWjc3ox~xM~bHH^H=S
zR!6hLa<u{Qur_E5@W;N{96+Auw15BXu$&oAN+O+*QNS%Tn3I3~`$<_@s>|!=SL8wi
z*V-|_HL2!<d>wP>O4RcCr;8y$vAA%qqdl@#m$5u1P)tZl5I0HMCAY`s#d=bPkVA(L
z;q2X&GV~YVTC8#n#Ne<EgprxfelUMeXf++-!}O(^TwJWl3s@$8>%|cnfSoF2<vHx6
zuj81~TX+{VOZm5gl)&_v(PsL{4lCp1sO1w_I{5LS)+yY`&j7EqFT&_O_x^<d@I3`i
zy9i?1z{K9bCKu7hh;>)MATTC`i0#pk>FBJ2=~$$gBf-_8%dCnEHq)(y9PDq%uRdCk
zTZKM>G{$XB0w>QLE6QYFUEaM?g18W>JTPv!4@1K&Xd<4uV;ovIW3pZ?aM^j3lSyZR
z>qdJv8!ImF@b9*XHaTq)?ZX2iH|J_#@pDQjv_eJ<S#d2ptUz348_kqSxp+vR0LEEq
z$cc^}#H;S(ZkFQ`q6KY&PanqFZQMrs==>6Zjl=JtwYm|(47BHhvhb}lUf4o&vl{#{
zI&A6ySZmbe2qy_BD^g-;ad)uIdQzOgI#1xle*!lnn=Q;dY<UQ3__#I&jc#j~oBT+#
z)p(moJcuRD-+!_o2cXR6>xaQ@pK{lo%1{OS>N^Ya`XZKg;C{Hbq40End_K$w=&OC~
zGj$;w|3<+r%oBAvT*RcDCQ8NvvW<y)KKls*#C0t5@%Cu~o8s;=3Rh#cqTCD?4!eD*
z$1`HpGPvn)J~bl$>{J#+xlhJ(B%@jRvwwV4{@YeVe(>hJy!r{AB81q2Mb~RkE;p8y
z|LF*bwlw6&A1%qdm3}#a!z8>zVur4O5;<C9f!=0x9w4aUZ1#A%2|f6vb&lKah`QzH
zwum-!;ML1)Iwi-Tu;uS>)}>WwpJl8R*N(U`<{#UfZ9p`GDE!W$CO`Pqw7lwNniSB}
zpLBt*&8*ZR$At$k!_YtOw6^X+NDMC*4<739Hmc1-`n)ckPXc&Q%bFz7M*DV)VP7P0
z1^*EAvm~$9As@r33rH0Lka`%KkJ%er*cn1lVOEePZomHJZ*I$LxcW5+0?ngI3lLr1
zEU%%jD28$6Iieru;#~f(_crir>2Xy3<lx{%p<=Qj!%#$)f&iWE+bxr*Hlp|Ep+JB*
zz;W4++k>OHH!z+o$sF{64B%#NJpO&rz$;r!hLur#RuA&Q<c`7cfX3v(xl{4fGOnf*
zB~$p$K-5U`Lp?iO#gay?;RU>Y$ev53rYwR(<_dQVEO-mVpZSI8>?oV#rfoC^bX{w~
z_{+F~{bUh3{R>c1cOSUEEuyX59Wp1Ut-woHu$-kfHteeE5+MeS*6c2S!iF-ceJ|mv
z>P$e*trIxg@`Q(xRf~U@VxoK_hb4qvsaE90VO-6|>*a|=a#s-w6161yViE*(G+mb2
zdR0<T_ZT9wHT7;V>I~O(_>%--ZZy{9!VK>0qI>C2y}u#BX4>tPvsE1BesE3s=|V$B
z@fuP;CL>O&J)+&&GyC(KW4{kXd!&$-DJ&?jELX7!PjR4!2W^s{;2TN8&nP0<%p#7-
zzV-2}{PIKRodm8iHjgngoOFh(`6^{2FvP>=N?rcnpWo0j$wYG9$<2B-RyJ*4YDmh}
z+r`wsWI+4ZDtPz<lLVMxPDuBP>-R*oIiQ9Ivhvi>s{CpmYC%&_wxX3ch_POs)pRvx
zLjZpF5&UIJ`qJjoA<wDKvV&8@@J*R5Bq-50{hhHK+LCPu(|q8|4pr5!5RIIIj5ePo
z(FS+NfL&nN!IXnhD_#!jOrIWGk?S|hctS1fC(y7F8`~5^D~#vdVHh`RSympzTMaEl
zu(R#X6JGF(ONn!cU5wfOWob18qov-!L#<Q&ST3ej?88Z^XL=AI1c-wa1*V~{_b4{H
zK3J?kyifqG;A+p~m7$jrQhsk?m<)?Yhn4tXbdnt&5MiEcqy?4-Z1U9HbE6k&Jc+v+
z#@n<^ghj?>MjBJbs&b^iD#ylhXczDuwCAA^ZI;c9Nhk{7OpgP2@64B>izKTjFG3EF
zO=~C4tS}p3^N)QqS7%(4oG8TnXm`dm!ry7Tm~jd1<rBnl`Fs;)rB;;_`I<}&4Jb0G
zc!V9WOAI+tt`2h9tUQ6fC`{MD8Pp_={)vw<#jSSmFlbsou(2E4Y<;1i&_S^oP~v<-
zcmw5;t6MsTwnKH-56qF}5Q$fz`07BiqDY*=%8fYIBift6eE<0?-2q`EZX6p)$!LNr
z%Q{YZq?LgnrbT8WI!8gB4o0=;W-|^^p8GLTpigM=^<tqV(4zT=9{S;9(+a-f<QG(#
zNEIvmQv<m5jT@IKFue(Ks`qHNokEx7kT<5l(H$Pm%IQKKvYD!@E@!LYN5a7$|An@m
z?`0VM?FaEn<TgKVv#I*lo446;eSCp7{Pde){%38sZ?&yF*fgs6s$P+2a8hBkm{nw;
z)~(%S+yt6{qM3}058+hDNDHrERJ94(4}^_}zuCk?>ksW8#BPHVVYo?OxOBds7)O5|
z5j*l>C75rg&GN(k&~VhTUN6b%VZ6$YBZb7R`$1wYtoLWnLV&b~1g?k&1D+nk@zC08
zwBl>SVd5C^p1AIRitG63wDk%({6kxD6n;n=(KAbD@oWrnTq!NmGEob)S@y=VSVvw)
z<kNb|R$0#C7;P5f%r40r$^ZZ$07*naR3zRdVB7AM)800<a)biQ6mWM%9RGTH0vnTS
zCDr^#%B>A$WA(?Txytif0cn6Ro50}@iPg66!0wu^Gkr&VO%wQOefX^<@y1h4j%UiM
zQILS+vMX^PawSybu^ILSmsM$S9|L$O^vQ7?#q2BLwiaG3Kp2{f*2ZvmaE$vSf=LJ`
zg;Dpu*w7EiTOrz+9^VH4PCJUvw5$M3jhCDHD)KaLS!Qzu$$)#hpXH*<t@n2?LcnmH
zL_3RjU7y71vY~#rvUH=`<02Yw-ytDaT-Pv$Z~bFB#&PLsZ;Wq#kqrihsT=|C7-K%Y
zs~I*ktDrjr4LLNDkqqc)>ON1cZA+$&vej@_$biUkfE|Y{^=Uj0^}$LBgkul`k<D<8
zR7b}jTT!StAj3^Yx2Pc5-oy}sQJ{;xA!b{g_D}|yVd@%YI%%xRSB~ICmLcfv&gHQj
z-#y3utSz)1_mM*9=jGr?PF@&Yl-FiUIMX_$i09DHQnbS^0;vy<;pF;a14uV`SiT*0
zTfFu%<1$<t?uAs!tMbi*Yce^M(*c?CoJU8lz0Z9P0TON=f*_MMigEkW_=5a+x`dm$
z7`yn_j_U+gC$?<^fbHmt1i>h=Ftxkn-G=up9v(iL2BH3IxRBW2D9Q83`lL8O1|@sn
zwCA3PwsG6Jd>#c4$O{L`a<x=~m;{6zTpzisO%2b6S+HwKm#7vY0GQ^<Z#OB#iNZMM
z+mT*@?80;tpt35@6{>P_A}6^*QL+#(>{ias`XY-NyMVqpGgXqy%O$y12KS8(N-p(c
z6MTgI5Jm8?RCqD20nYm~UX(@T@TucCF1e*=e|5<RzADSEfa}PY<tcF4g~9*^Bt;|K
z3hJ321U5o|xRJql9Vis!^khlSFID79g}Bc9B8=aOmoAUaAjQ@gWut<~bAq<UhIGfH
zZ<upioH%xLeLe7soycpsT#|2$H00>m08Xssb%lRFq7i0#&qSNRBe5$C6y?B3S-w8C
zBtO2sB6Wxu7)DVCjc>2I^-s`p4fFBh2%#&8>=SRu&v(*Be<X<VMm~VD5(#VoOeRY5
z^1(hC8Z1g46AwirB!0Wq=*kCuk<Smv*icDcIj|seSC$}lfDF)YN^XEp2WVZm_l&~K
zVRj6m4fzFwB@VOvV5_Ge5%}aLD#bX(^%eQrfpr-h1QLU2b3hV*c5{EkQ0loJBm{^P
z#C49>T)u!+azS36tjaWARH`>{R{^VKH{^+TPQ>RZFjtO5z}PSb<8HuJM#1u*Tziy;
zk?HL$=MFyNJX{2~feGKB0OETYM{*CPO7iSfLI#TiXajB-V^w*-xPDJWn^j{$1X3O|
zUU6_pPEXWi4$tuXdJeiUayT*WiD1w+*I4~)%`{s*JHYDv_&3a>Jw+U6OBXtUM|5~a
zI^A56Zysyns`Q{vI62JFyPZgwh$NrS$pFqcA0MyE*Rb;W#q0`TIw*a?BpSjghAW{;
zv(d--yT5U0=(|m~CPq0xWDW*iq*<@8$Tto&pyQzcg*-!;bo>RUT|9wq6B@l}UjhP2
z9E9Mw&4Xb)K3<krpoQ}1cUIvy=#Btt-X2>W6$fUwW3SQ?c<CJwC9cFxN46-PrqML*
z$<$x}*pSh9v3KP1<r3ei`lEphJE`U>ZWgz|<dQ+b3g53PA1To`ZhHX0tKs<E3sZPx
zw!SJKtztIJ6qIgT-D8T(*7_y0%D)wS@H5*t+XKb<`i}@A&e4&gE!2fMh?8K~@O)LG
zu_V7YRfQZrrxVQp#0e%py<fn!75W%IjN2|2i@0)IgP4SUQI@xta27Q^0Oa%{hc-|e
z1OcZAIn6I<j8Eg_hJpWfoXi*LU9LO^h~9@<-+C1s_Gnq2oP_2y5N!4ZIViTHXL=CW
z3<4adyof?vQM!YZYiFnGvV@Z)A1p)Wt#rpJaM~;n=kJl)@ZJcO*->I2FZwnI$4s{{
z%h1K+>b{O^@%7q@d}qRmWDA4C5CwiYE}OaEGpEf&#%;3#jmEGvaSGs-=A6`TEX%nH
z^u(q}xcxFEYKuAA?G4)q7OVx~BmAZx4PoZ}X>|jk5^P>e<t#T=#tDVA3=NOS;Nakw
zp6OVHonovn$bl5mwsNHc83ZUcHa=PqL98VQaF!n3+=i4fP-9TWe%dz1H_o@K9DHjC
zXug&u@@j!#_ch8mb6E#hgsbtGWY`ybVa2mGBzmC_3IZ{%;{+RUrvb6UGv#^6w@Wyg
z0S%F9JacV08x-oij7k_%`UoD+Dc03^47R9BWbDJIQ!C6vG2JI}{<@;Xp@%vc+1~|&
za&{^y#i3!vd5Qtaps+3XYwnw9vtZ78MaXEVR+DN@zqz&`$?0Wq+;{>jmDi(mk&GLa
zH21bE8^R_`6!^30<ljTXS*}9eB5OFEfMwJ(Q@F_qf;~Jutg>v1clHuzM+D%?p#U*M
zX)P=7&8^~wSHB(uT!j3%njDri!WA(Ar~rH+*fzR}&@|gjVCd@-xxb3Qm_X9?B`ExX
zVyOO%yg$D#FE#Myo)?R7<<>Jj2y6!e5w3$_ER~CL2@e%ipcg0ISH;B@Jfs1_&5LKD
zQ8f0rtfG&QU`9AjBzH85IBQ66r{co=LW0Y1err6~Oxc1a!WK@cePg7A!y34P54tl1
zqRoA@2XR`hy>(&D?&4-eRZIf;%n)Whz9C7X@U^~0$<3_DdyBZ9oWN3ma#iHTlO+a<
z5Gd`%Fb0jI5)O>+%R*du{N)5LE<S-y&b<oNvEzNK^2!u$AK?u1=qMiV939=mOL4Rt
z{lRzi-n>!~=)jT5TuZ((up~>^lzhL0GotH7s2#wKN#6?wTgO%y{2X*+7(0K9Yjzkb
zU`xF4E6$6(QO8Zq!rHRDIJ6)G(3k!0@|fHx_sMUsmF3Kdb-Vz=C2g2Xd+xoj9t1)N
z5YNeQaijg*ow~d+4e=)!lw&#Q$XQ#GkMK}JCR0?xy(yDugxWIp-xl9&3vRPPdOE`$
zVMo1?PZKLjUZD8~IP7PqaDi`lNQOtC-WbRH9+XJ-zKJ#)VuYJZTsFiS^AeWlL#bt4
zb;kn+b!;*v+>(H^oEy^dz-B)2SL~uc1G<WjqI@)#kIJXAumo>b<;iSGUYu};*oTHk
zm0(lmyH`&r5UMx{DxY3olJ{=#{Axe6h*jkPv;ZCebcPG7I*HzD6oByT3)Ql)fyfe&
zaSsG8I5Ae#&^Mkk89$EaVz@kr$Su6^aV)tkFJQGZ0Tq}`c^VpImKrJf74#Cnd~Hd-
zRm?+tgD@+=GU?ep2y}q}X$-eNE@K1ohtPY?C&LaGnsRm+c;5$Yk*grwt9?>k$4Vc%
zl0uATcAfYe7eV~=xV(9!D2nEVctl$=CuB<N&6<qkn*Gbb_tRh&M@B$<#>O7FNcKw+
zZC0GKo}MNF>u=xG%9Ttk%5Y{?&MnsE+-e@WuyKyNKLx;ILPSfAz-yw8KL$Rv2^fUC
z-QM<y1Q=k2j^p!Zc+enGm1nUeIe}}@W5Wd*9KuWDBf}8keEA*Q_L6tb7vad&#q4rL
z{{FK$na3M<XGYiMnMrD790xMtH4bbRk7Ub`{nh1@l>vxQGScj0UjTp}hOR~J*s5?x
zfZ7a#>DCYQXI8{{_C?=%Lk6J~=h>mMoEmDP9yx3jfjC1pp3F7mCT`qcTI!P@eRxNn
zIy@wkBSkluG!y35Gd&1wgn;5Y@N9OmEZ=|Yy4+Z4$^pD+^*d87nZju{z8EtIZIKhX
zMKCFKxmC}D<~SzBp{GaUwyYUK6NhPB`*aCilqjA{!+kSO8f$9}Nv&1o>0DW!AFauu
z;fxG=X7OR{p?zth&31%@n{J9tc<nTuT9Cm^Nsi<f<+J6qOxLoq(1JEPoM=dMx>Rzb
zkiZ{<l6`mBQLqz%FnSdtnM@x#2?XLe6hNIG#7tL&oE_pC%8-VJ;?oJN6ITX%%@C2-
zAwzrr(ww{rE_)R3c%B&-IW#^Xh2jwQ75b%IE@PFk1eKPnawxwfpD(54n(qr}L%<Vq
z*cj2i*npu5t~TGO9~k8O0xmw1+`kS2O$}z~izkO_GKq)vil{>oyXHLB#}_-Y*(G@q
zXXd9NBKdr_D!=^nw*1qt@pjn#pIg;R_WtZ?2#`4=hgN}tu^+#8L*BZ+3Z2(Ud3kDG
zPE6o}8P58X_Ed4IB%589VGz*siw*gFH7j#XTsG@VE1q`($ySPOXpKk_rRWIYrxWNw
z3=1`@nf00+0C#<6q$*DgV^xcL2ZPu@8^MqJeLUXxAmrF#y&nkCW`+cq9T;~+8&|BM
zOCpUyn$4`p1a80G#xqveakg@%0Rj#Uf#ntm2A0N9bMEQ{*%S={<A7%50zM>8u&B0(
zx@^Z%4S523y(hCxIW|y}(L7$az!^xMS0=G0cTKU49Vgq11e;4Ta<A9sR^%t2%z<e3
z$#J~?@-#MH2SF$Yu>nH;20T{BE5I4;izOM$RpfNJCRbLVF%27nxA0qSrSw@Rl3|6t
zPH^lG=u=Q1w<p1GTP3l4Dv}?<0|v)ZRlLT58(&3CqIt-w!TAgfxXF{qOVJcJt2v3B
zgd+Ph%XNACcAxy>+&r%Kj>uC-M>XHQ*iXdip82v6AXQkGch28|SY%eRV8W>Mjmnos
zAU7Ty8Ub-kfN0lbMaTUTGyyKlk%1L#R#xSDB`vq`!V{Sk>V>CzV_hCHTQzhzCd92>
z-8akRf5z>D$d5$60-P`4>9Hq(^JGw-7;HfVnew#9F^k0ihb4}EU__hk=76)486?~!
zm?RcC=qkyruE;=sRgOT`IuE7ybGX*Ig4;~9&9uych?np_TMf^N5kNfs!DToB1o$A|
zb?Dh%2XSbESl94^I-csu;MJMjnhb)o%;HiHZ`F}dlRz23tS+qEUNpMt3eMy0^K<g)
z42Wi~AG_84GBS|Y3q%EotgIh6p=O~woD<o~%8KLx|EWSr7Li{2qTVm_5Mj;M)3VII
zXfk(fHlrWduT=i-i1oVUtS>;MN1(iCFtet8F@(Ozpuc&oo@Z&<AJ!MF2RUuNfHPXF
z$a7OoxxTtCSC*Rc^N()JL0+`M^?MGEp6Nj#gn$!^tjmR)i}IIm-I5BPuR1;4FE1a$
zgTGL(OoBa#Th1KsIf&mfz;o*Mpn@rK-D6-FPvR}r+p8t)v1R0DJuCA~5^wD7fOr$P
z;Q-Ac?(yfywsMJZCqRFwD<^@+cqh|!IfPBm@l0JN3+v$Maj6ixm&hzq6hiuAr$mVJ
z4}%GLphR1nj)q%hX_Ht`SwDAAOSr990;ip?fM67%%pB*tsZY6z<1r0DjzqfwrL#@^
zK&us4JnxXgYZDm=!})w*4tom)JO{*l)0_}+t(E!+NE}FzIJ+^7oIihi)hGc4r+Xc@
zAAbZcI}7T1dbm%HLBBQ$CShTd7U5uhp}I-{EA|8Xqkz7c9AIBGrG!g46)3f7U{HV=
zmU`3|SPcPjc@8Mk*V3oW(&!JoCyc(pOCNZFBb}krC-ws-4CGJ5Wm(o2L|*<VCaG2j
zq0qi6XBMimSnZczTwIc`JTWg{d*+~S=y1~RnH~fP0VUYLyE*6@`RliC$Q8({rwR%A
z>OqkMP)p2P*|w51JSX1sh%0d|5BjhQhLKFlM4_y@^jD#6uY^a!ms)8&@SBun5b!b>
z6+UIiRXp(&53OV6DKgLx1`+Q$4wF$#)FEPo!Y42%0}#!mp{y-OW>J|GN36-HvV6n$
zhtZ1<oM>Am2|!kyHV3W|3(A}-xByatUBhpvj)!S^5d^;`xG-{JRC7qfvCHK&FJn;8
zauP2+Bq1xOLUiWG$$-R(ZUU>5Kv-S&qD^G3U@7>EPwvPZ-me?QjQ{*3&Sn=ec>z(=
z`jnCD14AIfi3k<<MX`HdU@~p;tSKf^av1!_z92D8U^6*^WhiCP?2pdA;G}62r%m20
zpT=;36L`H=#F3~5IPI2P!12((`)EdvPeGr}C^jWAcr49c?7Lo@?hOKD?q2)wmi+qi
zvcAgx;soT_V_;5{U>Dm&poU|_J-5<#3?uh-%22m407YeWtn}*0vxetr>Nw%V&2xwA
zPW-{z8SUZ=IeZO11uC8a-Qf%BY31Vc;IQ!n{UHtNq(Ar8!h4JT(1^A*oWLU>4Tx+Y
zmk<pAt&WQy{L$S2r$?FR8i<8*k-i;#_>yT!Y<M=4#3%&<&6(5yWn~y~x;GH)zSxfY
zSd-6hEXuDhE|Z$d^VobmJPJi#nE5%G5hfwwGuUuqQ&_^bz6kq)$jts|p)V-T2>XKl
zsC~)4ApE)6OfK6`nDk@0R(4o^hz}&{R5&&<RDlYFRhg+K<hR&Fefj*X{KJ<VckY&{
zyRUD0HGXgqP}~Cp_rb+E`K$NuV1?H&PmhQ^hYKq_Y|!mSt>HOs;wo{S_{NnV@tjO!
z73v;p_%-nDm_^VXFS;{)XL>S<yiH8H<DNVtv*?(TkU3!)EX&G%a1iL8(?ccNR-^+!
zJMmtFu-eHu$<etV{rEG$F}(rbhyiUS9Nwne;;Cbg{~;GjncLE8RbKmeM(*G-<kQ0m
zeUxI5TsA}#w&Lgp3PUV|A>$GOJNsi}UqHNp$${K9(-KjwPx#HB<xP7t!}KhZn$9T3
zIXzyJOW5WAsNRPSrWtwq$dH^oIO4hc&GXqT|DONefB<O#cU3OkUXuU#<_&Pf>vD7u
za%^bn92vxMUTn0J=`e!X+3FA%iKoOlTVawZA%mzkX^&@6_^K5z36fzTuInlvcuu|D
zd`O#{`phT9{ji+QIy|iJM?$o%^436p8__TVP1}AJpSBSIOKWx*7RKM}Zi<fj@%!-7
zy!__cD$c_9%h|C$eF!0!hb$W+5F)9;Z7X=N4`|Fb_=k3w-tx3QFq?5KER5gPtsIO~
z@0-VpYXrytUYJ~xYb$+n3+HZs@$nrwgiT56XGf-8v*>y5Z3vJrVb_x}`7dwZkV|+(
zoEv^$J+Ou|(A2Rrtb1f!;Ti631`)$i+8h_eZKk7bjEUKX_sq-EG5^k=h0%T-=8+QZ
zuz}Wa^CQ5vGLH*DTh-}Nhw+FVPjgH!tm3HLEKYbpwl|6;BlPt0#0ED3H{(3Es;j})
z?7Q^^^Rl>G<-1iF2N30fHPrj)SXG{1!kO(G{qn1ei}KvDd3oijDGVxd^^a#@Y*qJO
z*h7W@@SOULUi)ZTes*CAhY!GELymoVf|?<DSuWPUzTKJ_zS1TUHXPr~4&$?o&hPD(
z`!M1?Hlp3x7z0YDfA2enKp&8~jt$%Q!DYV%8Sq#(A<s?r$@n0S+2M>j#T<9zJmTCo
zcRlRBVE(KpIUXL>9D<zjnTfhwS%#c`p(U?<G9#xB49e(W9)rt?T{f?6FJv!4K#3?;
zlJ8%fmG8edt#a%qaVqM$Dcp9%5z;|yKAKqM%iyV{HJdOr0&egO!_03d*n9U(+)jY*
z1FVBXsCBso4SqlTa7J<<ddCO*pb(4Cb@7NFPlh;o{{t-cp=HGZL2jGk94dxCID%K@
z$NO|5dL3e)-=3fG8=()a3cZYX7zDW3=ADe2!13?DbyHTL{AnWJC%=Q^ePej7hGLNi
zp^tjAW)mmF-)8Y1w||dlKkgpbcKJBRj@|BGpPP}JOAVYC?U%2B`xpT?YR`2!MNr$$
z@Ucha0O7_C2O@7zK84$DM+d1#rcZwS@vIJBo)7QjfF66rdlh)#5Kw}RjmK47g87@@
zUYC#WlyPw`Azuf<K7vzGgHTIBu?X>nc(b2Pk7)0L-Y3zbXyg)fmB04IqAJ{ac1&<V
z#g6#x&ZpBj_$Vf!ScfusibGz+jm{xVNEhbo5R=@NGR~s&v<wGz&+K6cKqSJaxnBF|
zmi*-N1zg%nLQ|)xw!8uAuYqWUc(UD1_B{+KQ~I%&o4EViMxwo1sX@8YjA}MJ1kGm8
zOl-VJvm0AV!p+T7o}(>*+de*;7EVYRoRR(Mxdl0otIMjZ9fZ4Q_9g_l!A|D+vupG6
zgLkLVNQnK0M4rb=a)=6;a3=df$g%ed^m?534(~}GN1}+}ldJRc%S+2rz)t!zqkUL1
z;x?#Wq}iQZwt?NaZEi~P`uh;hnxCEO$5rJ%S+3!x<cGIqxm4AaMvrV8)b@@|hJ*)%
zcp~bra7~@}4yK^|?Uh4#$YVI~<=6$C*!R0w#Cp9)v<(tF&^CmgT`b8jKbwV~jx{KJ
z?~^mQu5S8P_JWMh2sgPYD&ILcoRt@_G|u4a@H^K^(Cjt~@d$2b;<|Cq>>UUYzbX1!
zEm!4-zr7*v-K1(^p2vn9djujg6^ry9e(vn?9?|ZE$WHnOQa5p9>*Fg6^2;l$c*r0j
zXF<#+alwGs!0m|NUf@6|+m1IS2k;PcN>1T)Oc`g<fAZ<9+<;;%t~j`q?wP#<0bU<}
z^V}Wz+fV1PicH8Eh{m3pNJLumc#E+o$8PWM9?@=x$By|jF67QaNq&Uu-F#){&;SwI
z>Br9H9?T=5JEg(KZF3^ZV?yHDbDqtez)iRhZ&&2a&u65H(=*(V?U~&V0pd50_k98V
zIp2Hx78q{mf*%xl38zK$Apw6LyGO7$_H~bFZ-mK?@!@XzTVKq|7kJ?%4_Wq$cqo+T
zRoxLkcZGK^aM=d%h}+gp$)cRZ8T8Xo5HtV|?1!Js%f*{Zh}z?}4PLv|R)URwBt!DO
zH?PYyv{X*09J|lSv2nc5&SMiNdZrx$J&3f!V@G@`myIJ(*Y2#y&+zUe-_+#h;}c`<
zXq@e&??r@WoAjn6jsOnfTrN)#jO0WXutD`R=p|W!{F91=di?f|K-GJ$gzGmx8&;RU
zd-tZigPXmBnS?$Yc5EbtqkTA!jlL%i>_z;(XMlA{&?DMifbzJ#NVIG9hP?jS9q5~G
z$Ru8*IWyre(&YCxLUZL{HzlcN_7HALeg$n$W2NyrPS3m#HJw!7+dH`ZxUuv;%cpn?
z49Rc5n32E11u7oxJd1~@&q99=uc#OC0!>ejy)|rmM0;!aJn~RI;s-wR+;wa|LRk*q
z(0m$P_Hl68c@S)OUERHm@yILphzcZ!#ZAdPjsTMDdKz;46WEmGGgCi-I@+0~vJ&l{
zc>57`$O9_I#3JV*$Nq~qZ({NlIfge)Upj~jRajLO@wTfy)z#y&HwSu;Xm1XiM;<~V
z1V&R9S1a->9Pzuk+7w=-Ig2BHMZESxBDNQf_}vY#<hFU?M)e<KQ<A4;p2MjbzCrmB
zHYH!jYdzEgw+@c2XLbh!j9|~NROCNH-RiC72Gp(cJodUw;fN=%sq+{s@w-Q`x9-y(
z(cT(9k2I8s&87cm*B15NM4nmY5vYU1;Ibhq*iXwwBi!V?s8EWEv7Q>ij0S@KGrZt_
z;npIq^Y%6+A1Q)<$-)}Vmi+Yn8}geg%aVs2`>Rv#*)XRcJAO9oOBS=|llO@B4(VdY
zWv|OT9x$Z{fJ?_IaM@>|M9E%w-Va=M*d3H@t6maJSbVMIIjlH%TkgtIUH+b%lDOJW
z1nzB0hEUsiZl0}Q2Q%{4=eOktAIw7Jhx-PjqH^paUNNU$k^La{dr&>oBiauNl3zL>
zJT8hOe(z$V?fqLNyma1=7hOcghe9oW`%AZUv?+<3l2ku?6naU{jIGO1Iw3zfzofb<
zT5HYTrsS8#y@!_pnGvptF5h03@8di+_a%-DK#q-Dk9>rhT(-%v+21{LcL?-|_T6Fh
z&|^?6!X5Qn^Q-dHPiCcsiv~|Z6mV)h31WrKM~Db0<K2%)P5CAt52kpCo088?B~>p8
zU(fzqJod_!2~UzJ3?F(=^$NHb2oSA#fo2K1WB%st>vDd+ifihSV;@}CQ$hA@*nV3<
z-U|%7#qAO8Zcur|ek3@&uKw%KX5<UJhc^PmeimB%qKh;*v$|hzh8efbSFqg+?pa(i
zTGuD2KAJAeo49=BHYIyPl1GfTTNdYf11~M%=<3hjzbQYzxP<fANqGsY$CKlDHms*^
zbxZhd71$%%TS4a$gsnjd5|@uuLHf({izu-V8*YM&G~h0I#4qn&oZgRIwt+u70*Dny
z5vNH`0ya+$i!`tzc@<BS@e)!`FNr~GXV|uS{NU1@{PhQSB;B8oQ^P!u&1b`)ZWYJ-
zdUEXh>#H8ozCXC#S1NKJ`okYC9cg$=w^Xgm8+eiC;$j{8MZjfa!)<UN4}x95rIOwe
zC<iBqNuZY`2if)*HYHzx`ql&3l)Sjukk>w*#$yR}Rq@HVgsuMQrbo{_R0t5p`U`+f
zb*tB*<crUStwP1_LCCSc%4fsy(8U1titJ;N-<R!-9?|}?5WGuzBhHM*Z5I9E5BFTi
zWs}%^a&=B#!)?EjEH04@t;=Dkr5qj}21k-td2YyM8!@^|v3nvogdMr<Y$lCUBm*)$
zGOU}Dr@^@upuY9jS61-Y@vKgMrcj^oRagg*2=fcPd(L}=Kqn3woNXVmT5rnSa#>!5
zSmeW*ii|<&*UOV@a(p~5<6~noHjGO&5O-1JN7G60@3A`jE;^K^^-%d?^g6*B5?i9?
zN~Ix}v6R0#TY?UaIyPu(c#)<q)ALJmWuYc1Y&H(I=4A>>p$;9GlJU`DIXE%kUM4SQ
zQB4jHXEx?<A-mt+*tT_9SgFZ{=_SB!MefWl%B|_!GQC)q)%2(|asKzvU{Vf`LvKYc
zBSZO&6borNIF^?alSL`!(*Vl;fZfCFeWMgcoLN>2dokDNN^<4Ss`e4zcw8*kWT{+{
z>oY5|(n?CAS(XV|lF9K=IWRRTho(m5)S(eMJci3Oc#PUixBM-vXU7oe5$zZj55z^p
z3!v;+`v3qS07*naRFQgVwJPUv5#*gqOLAwqF4aCfOxmA?*aI)MV7Z@MZ%U)GEcMc&
z)Ef=yPoyN78<b`uBQ<2U-l|Jxy)I*gq&yGZmCqd;mB9jZ40HVn(^=jFX~bj7By0;g
zX2R|hTr_(B%A(BUc4)0X4cMk71pp^nHCd}HVYSkbR5~Ns{E(#bfSV*_6)Ifo_^r1p
zk_CJxhf?y=i4l47;1I-4*@%3H<vpe*@0w!6iL};e%I*1*ymfJ2F5LzL(g5*JWO2d?
zuPN~bA`s%WMn!SDS}jSFc%1^=GXv7<Poa<2fcFi__pgB=$;->=n}cJ}If8c~X~MF0
z4S*hDMSDd10RlTD0=J=d^1TZ)^4j@jX-P^(aZPs=%5Vx;;wPX_B!T5Vk+aooNVU8w
zrP7MDfZSQ=$<F1AlF9(d5r>y-Di|bl%PX?5yd;fARla^aFRz@Qki(OMk^lkQ3rKEl
z;NvvcXO`q`yjJtZl@d6yEZzwmgnn&Yz@X+g%vHR;UawW80+`h*B}pWCBoOZiV&j%>
zQe}#sTKJV}4VhnF#&1ayAQZoQswgj?8kYm3P)-gL_SpkOg*}s12%ptzLoVEymtR2h
z<dwx1CP3~l49RdIkACV`MuMwLK5S60Ri#{7mTGBL@z_0$hyF=rl&fi=Z<b0GnOj<v
z<&_mVJd}`sfa|}f4v)w{jw_>H-)x3NJ)*rCWbVPAGC5m(Q{?fR&!*+ob5Qn_F39nT
zF@5(CbXo}ni4zGEm5Zty2)+hA8qH>%p5U|-k^~o?NZ?#HD3ty~S`LPFoR(OrRB&2i
z4hX+2-#(F-Z=E?H2aNy)^|*)XKh~%rQJBU=_p48)<@L)Y4BSCEIynl_M$Qvz5Mo4j
z@N*ZD2s2K4ly@hSfEfrj;ir8;nDHO%e*9@+@>?pE<m&A?OnfEz&gr6j>+C@p2Iox^
z_Tgg%$POypU_!Wme0f%Wid(1`7NNXsd_*QkM{ofw>G9b04H2AasPv5L7@7^&Kg8V>
zaT<NZ{$YR6^y_M|4=c<jbZalk<(WA=gs>)m{M?kBePUcEfe=45QST2Q0wGv>=6)d%
zBGr2r?#SP~drRgUd3pNKq!Md_w*@4oO<Xl-lc4ZFzsWiB#c{=W66!wOeB>4}h_v%`
z#D{exht5Gz0`We7YexE;%kn4BPs-PxIe_cI<laf(8FS|wt7`)j*W2fA%YXUkjx_p<
z^5lU@833^+u^<5mQPfRd1R4niVFm{c8cpII!?+9V03Z4;t(N8Un|EX+RgpjW%9Ol(
z8m~*hSbg+kAO9gl4TWZLdFjXRUXwSjSLM*?q#T(Tkt7H&ahiP-^@pWF2M~^i)7p2)
zj5zIxv?8{~Ry;*q;(7u{0(n>A*4!fG<9Fn%hf?yVUp*!hc-)sJtdn}|<3By3{Utiz
z26-7v@SnbSO@8><vYa?@5Xe2O$lN3$?qX~}SP&7CSV=yGgP@xsk#~HIi<=+;Le$x%
z6{vB&C0{?1l7IZlF&Qo9b_MZqlUSc_#{S^V%kt*+hCF%bAO>ks>)#@4+yxZ$(gCdS
z;s+cAM3=Y*#|U;z2t%TS=>P-*+}-V4@(-UZ${+vEQHWnsQFboo{`+g-WXnIkGArME
z<A#*`it_Z4DHTr<rzv{sMAJ_2E2xo~2RXWDV;@<+sExS9{Uq?Zg8hi|H*ZUSV@dv-
zZyc3ppMcghqz~)1|9U2FagS)nu(&6eA<!IDO@8n7%K|1*zH;J-9%X8R;23AUF;k+q
zp>k)ag>AGozb+}c`_7G_&#v8+fka9E><>=j6h%?FR9l92mh!m2jbKmX+Wx=)*?C!N
z739p(!`Pfng4=T3b30M!goh{GQ9~>|^6(D&ldi|`b}@}WB&1xc$$OWs%d^mF@?Zb%
z3CL)7$E4>Q_&_a((}Y!@y!PP@`HOdM%ZaH&a%gNs2`0H~nz(Na?q+Ln$DhtH`z8@~
z#6RdBq+Qq5Bv(y0W*6kj^ey=pFOSK$pF6Dnu8ti=?6c1v(Y}ukH^iA<Se5_h?=Q*i
zYF^GBJEY5VL+s76CBlb9B#h@ckI-kMn<!5clOf!wM5dH~U&NBXygDcU{U4r?6NiR(
zB;huKef9Q|{M(;ilvHj^o;*CI+#AIqTbU4cj<mSg+kqQn#^i$VLk{@Q6$|V1(d8R5
znJLS^`u&r-M__%tReknSn6;N8k5}KhCg1yT0ZhnoY%&&v;;XGp*e{*&w$nH5{lXj^
z9#9+LA~q{Oxq4Op^h{Cy=%r(NL@@08&hqxdcaLb_V=o(W&n%VXKm7E9EVi(8JbFL}
zzFRgLS!KqCUJeQGr6@}orwLKp@{U94B9dRhCgsB7ZTTPm=%gH<8ur{wSf}<hkMhe1
z_Vqi<^1uDv1<4mD<m7>I5CyDE@Q(xBnR|!V*6j#k=OF9KLl5DT$0xZo|Loed3@29Q
z&;G$lnZQ|j>+7xa-b<nD^5frLk^l6;l6>{l6OzM`RLYs#MRtan52BAc`=uS0EP?wp
zyny!pr7QAJ&O(g!@-Y=}wa46FUp=CI5B+U}m|DyJ{1+GG>S_kd`a^ER41tQ=8VQ*i
zZf}`?2a&QgW_L@=Fd9qhzM{V*+?Q|9NTWO_|K^WR<7k_c5tAEwoW=<D3|1%q``?|H
zwe*ObIyfbKao(-BeZ#hDyEY&g=++_Ig}LQzb^s7g7~ClP<mxRsny<)z_lKwTJiOIA
zh`RTj3XgU9B}5|s*V{Al;)y39=F7$ed%N&e$QYtAQy7D_+0M89?-pS!nsRQ6u|B$d
zRsQ8mqw@RD9|p>BLvw$c{oC?;>~F;@sF~yqFfJcIor7Yh!w2*%FwX<i=xGPF;f76w
z>-_0)zsMi_9wJ0>ERESdURxT5b%aOh5m3kNz+;o+xSTU6-~06y+_<bMO=OzKX*i*k
zP?!Js`emtLW9tM?h}1x^9h}@TNVan`xUr264hAps%7m}kTf;?Rr187QV;}PO^pOK{
zZXqdu``fEHhS_wmd)&Z#h#g1xkpcMZ+MN8Sckam9BiN9|6?2_TQSKwdX;ee|sKaK{
z`Ql9u7pR^*d_?~8of$a?wGT8}cXjQrKRu$o-Tw9%_4en}@}n<GauyqBT+r)rKIEYU
z1r#SlJo>4>x4XF+-{OUK=+BdF78d%eUuPJ;8_hL2d2muEmS22u!yhL^L66C}iD^xK
z0ZxvS9qYz{Xeai#zZJnPXb;;Lwztjg<Ar{m@tLo|tuu`Kof-z4dC=&I6}X=}c2ItD
z0cu~*P5Z#d2Rm1@hx3>H!pU?VdP2Vc<_#Ggo=`<)jRyJ#$4wPx9zIcD0Ti9E4EuoY
z@LOSQX$<E44%{2!cZBiiD{*?bkdp}<JN%0`uFIW8TmiT)N735BWW%)k&Gd-&HhP?R
zLFDEm1>eVx`pJVh6OEG&+@Jw|0g1^elH+r>egiAbZuxMFXSQ*7?lJ<>G7YetHp8NC
zjF?UH3d+<pi0h6T;t_>I2jp)*TU0K}A^4-ma62CM#r1jl(PvA59nVDfX&ouaW_TOi
z*j9rB;I;vFgp2vN!O5j_aPzRUya<2B4f-J}6Q#R;AdIn6L7yg|1Lo9$1M=7J-jSPg
zD|?nW5GTk{|LlY7a<h`wQzATxq`2nsDuk2vOBYxgK5M@Kh%xR4eQEIbeamy)n$G-#
zzEQmJ-`Y1CcTG=89UL2$#b#c9^4@iw`1#1feltCyy^S6xN5ZA@&p)^Y{TFzz5YHqL
z*@-S~2y2K)gtIWSL!|Ub2(<P87@z;hIS^%??ecK`T24n^ypY2m!&pZ}cBaLz0sjJ&
zCk+<I<kb(RWd(A0jL}DGSPz`sl2s@W`a8fbpC7>uM<*+dV29eaI^l+N;lK@HtZ-s{
z{l|FxM|hFEc(`e}?*rzguyJ+-uLy2TZ*g57oQ#K{^LZ^<l%Js9ROC;nGXK3|01^UA
zF5Fy@pI<1+X{>%?Jn}F@_=dg-VA<9$+J~+;++T-})+c7)3r@R!v%X<pV>N_H;fbjU
z`Q??Wd~t1FyMyuelj#xdyYx1R0rscliyI5_n`;$0hHL5TKpgrL>6KVSHZt@6E(~a<
zVeK|Yzec0C=0%%+jxd<5kyt;?qq8iB%!;l)++`ZqOSRvP4#~&!>+<2H8D^xMEwg+i
zMjN><pF>{y-fg@M2rh}I5jMgOwefMCt$=|O<kSHMwr>}L6n?%BtS<<M2ySeg^U!?N
z-@~Xap89D*jfV`P_~a^&jE~9N=ySgO&Z|ut&b;@8S(i$!F0Xz#EdzyNC~Hb<->_+I
z@Cx9__Q(C92pfM#{etv{(@3imf#vBk=idm<?PYoV_u(ur{4p-~lycDDGdwUXuYP<R
z3_(@LC!_8c(<9p3=;<16XuW%3Rubt!$!DOY3<H`tq6n#o91~RK4&dj)EKY1YB=xw6
zJeZIA!9_bvAG>`VmSx1smy6FRO_-i;%G;^4cmj{7zHwne=2yy(48c*niWQc@;s5N@
zc{vCj*hyRj(u+rEGes5J?x-DM+u0@$BegBA!Hc%LoPppi;Kn>%xRvGlCH9ZM<MIu5
z8EBnL<%aYbxEhps(SI)(wgVDt`TY8VoS$pSfsrA_6}HacVeq0I<01RO;uu_M<EQ=L
zZFO6pwWp8svh;`-;B<)3Ru@a7bwb_^=<1n-PVP@;*5nc<R8;|?H9+7#FiscZK4|Fu
zG?B={XRNN`CFwVBROK+Z>;@i`<q|DEQyk_@)D2BHfrO%W7^%bEEe+Y2z`v~+hHY-R
z;Ws`sARk^?kgL!~J)+m#o&J)|Q$2_f3|8#+U7B8$^NVXZ%RZndTe!i+K~57lBX+rv
zpsmis|J|ysTcz0;hT4S?Z7U`ISch8IB8bDXT)ed;XO4|4;nt&_aim@6BJrz3y!Xz9
zIZ0#&^?ZL5c-`G}`fr3K$awdp>f0?o12)6yt@4VCAp<a6EXr%pICu&d$#_JOHQlVV
zIOXnl^@#RXeF)^H?D`T0Y;8S@ms4=r07Q_e0sf#nhL9rJwl*=yzI{0yFf^MFd>8K0
z`9zV$un;ZrtzKGCM;H@1E{0d#NAa5Zdsmm_$s?nZhpd~#lhu5frVcG{Z(Uq~#=e3o
z1me;*hD}G|1}C*U+v#da*b#1Kx7VF%U^J<BJD-lfK5yi;9`#d4T{HzJ9Ue7HN=b5Z
z@x~&K1LE<{K4@R;7QLgCo%-n*5z%)wKc8#L`0xN$j&4<^j7Yb(we<~K=3(d?>2R6}
zUH^D*3ynWDpZL?c+VfJpXTYXF_I-=K83ED0h?}){pdIqq0q9!CYpa{5>nwNoe)q&9
zoAezKk+SSX=ob0y^^#2DT|yFSw`t{V#IdCtZKfegb=pxF!fE(7OlNMUv$*6p7(M<m
zf1fuTF0RW<%kyDTdc@&U6aV!n+YqiJe{i#g_LN<w@PAl_Wm5Jz57=G2Q^PSbZ0b=y
zjepu!gopL)gjd*3i^n)L`fawh(ZRyO0Qs{Nw!7^Y#$g!aIos9M)l2<-p0-Tqnrag7
zb$*PO-$@*}@^Up{ZFZqS<*7FH3RYdSjWoo4$yhXE{S(2!!wt<;_?pc;5XWFnC=e=y
z3;n~N#ZlO5dgf(6=Hc`9`Dwpsyf}X=%jL^5+=gTZr+iv?EQG5_POvP0KbRh;y+tn*
z(MaSjFRnv5doGe?6Ggk3?!GRjg*kqtTWaR&LM^V@U>}gcf6?NnH*p;EaWR7w(nLG-
zN-|z`xiYf~UC2eqmpNYt8O6!Jyo&=6^7Qk!mZiL&lriiB@DzfpYg}V<nY~%T79O^V
zB*H{gTs1(+aFjfD(JM|x|FFgF@ixMZskwi_Q#j{u;XLzFSq|WZ70O_#>t(kY*M2-c
zfYUseX3H{y)fbQVkl<}*I$;#Xv#=P#VW@K(PFskjY3mnwhKzL_$5L(V8xrm$`XHSt
z$fY}Y^$Gh<S?Hi|%P3C1r(8Xvy+wCYIr}xd=a|Nfp2Sa)I~=QqU7=r;Ux3Pt=i|_6
z$uz1DV=xg{Q<3N~9{$jelShcu?HRaunwQVRXQ|O#e$=nAF3EIOzL+k_izgfIk%hKQ
zEr%~}v%W2em9Bv>@EI!Bf#<Q+bXIPw;(U@$*fBr-8KLHfH(D0Tx8exxu$h)6qsQ>Y
zhtI>ZisB)o6ko%Uq};}vlurUD^mQCdz>Ic_VS@pW#bum`S!l_?Kw4K}c9ve7!6*iV
z4eerphfEO9`$U`E{5C(jn94Lxl3S)*PX_sTnroZ@zCOM8WB<`<rCWT~djPjL=T=(i
zn~EH#TwBF{jIno3k7#%4TOtSv4^NGppQ&Ot&qS9q0&I*^8gemR<Qu!xtK&0@1_x1$
z8$netJmh)Oc;+SxMp%<rI<v!s-P}H&5hRP!2TnJMclvHE%;V*jhGg)Z*~2n~T?IPE
zXO?P`!RtM&3pZ~gV@|W9fK42o@$g+~V!r{l4dgIoCK<qw0iEf?$QBmb9b=w^W)R%=
z#o3Cygol`iiqN}_JUXI<x$a0e`vJ=YS%v1j+ZCu`81W~e7+~#Z%|mxvOF9DlCl?)9
zkjM)9gkISc^kVyL2qSj=GHx`|aDhi>k~oexeYH*+vc(@?4&$~>z$lc@oXs?oxC8~c
z_S6tE#LGpytz))mdbgk+(e4HnAO|^t1};_1;6d3$f-+ertJ9(Cktj;)k%Sh5%#OkX
zzi#-{0<!1w2|0s71Z~c8Yq23WD$pw&L{{YP%oyK6l&EYgHyjWgRM}KYR>76<CHO)f
z;tGA~CCtH6-oLG@0@P$4kMb_o(5@UsBY+)7uG>WH0EQokogfWsV9iz=5&J=uPmiXg
zh(RCD1<W6cR&g!6DL1My{6aV=*XGN#GFWyS6oSeyZ3`Sdx$Rqc%di5)MS}x5NMk^K
z+7elAJK5&OdP^2cb#S|UNro@bkWD~C3<%bC-!@w2)vaX|vX#)!{h5TkbQJiDar4EU
z26Uujb%(?}ZPgFL`pi^H#z3VZLI=~ZCRgVga<fFD8=od({+$HZs%2$|eMwy7TSQfe
z;1==BA6LTt*eKqG9b?Vgmfa)TUBN_|ERIEiBV7gin;L*<1m6x}x}dQ4atlGnZA62B
z`SX|?m-77Y2ZMzZ=~v+SZM>fH?IV296qivxUzC6MSp&~ufhcKu{OLA&5U3|0G&4rj
zBAg>k!1|$}B#89#TEEP$)MRQ5L>vB{gTyDkZ;M4yp1la7z1r#nVWoZ+2NS|Htd><<
zWzzP+l9@@=-WYalLlXnOFr1U`zA_{e21}-i%({GWZc+ZjxrPiH{Gu?{4IfCizJ@<0
zUV#^jbS5g;eIkGtZ73d_U&b|eOyndMOkpy0pKwQ8+CJ2~hWbxq1(d@CuB|Wx>u9zC
z#Bf?0#{?D+hyxX&QbYQw@w9yBNjzjRL4dcU@!Gt+Ra%z}K@5WZ?dJyN+lSp_y#}P!
zg^K*=_g3W`;^mCvM*PlxVSKH-CbYu6Cq60H?(0iP35*CYZl#iOY)!HU|MZA<mrmuN
z<Y|XewFymhB7+#P^uvE|B8PtS%b`=de~fMLw;;2ThFn4kSbyqBL0(dV4NsO0Vxo1x
zC+Qqb9|=GHbrK4$2w1imM&GP1B+yNix(oy-A>yN3F1Dq90Jeu6pJ1!D`eg{UG1zJS
zgZ5kL^xt42FF3rrkAxP3v|4J&>mRQOX#|fKlXx`HM=#-(`r#C0wyR+C07KFvH%~Z-
zL~Ye90XLs@7`j<q_%>$+@)#0rg&p<?9{7y60SFJ?qXC)xA{miH8U&K9buA9&FD(?U
z^CotM0sVk^6#zaknU{a{Qc;G`7c>;}aaGDr<LTIJt{-oHre$faB5z!)Niv&~7fu#r
zd?Y6?9;ji0t;!lyuc|>Ztqsz%Ps}hk*GKJjas7u!gVFb;T16iSPNk6p(?4i##457`
z>>knHq!WnHm3mW&0#U`34Yfr#911baA{eIGx7psG#FsiQ*0V|Z+NpvJtT*KXuA842
zPDlcAs5@j0gxZL9M7cO1x|L`7o83`9KRF<v(jJO;c$M67+7|sm*(ydtyXq*T0V1ns
zMo?!CBsIQX+KlbABdnNjd!y2n-<)sYR17y*q1y!1<Lv1{`8t@n2A0Xcy$z8T(&@`(
zQK4}7^kJ6Uar>HUemtjdn`qlfyJO;@?d$_;GOS^>!U=~bdWhF;#`jN~pM8X3=({?I
zav_IXqgavt@ZD88g%|Fh8bO}}X?gaW^6P4)A>aSyth8z^xeT$@9f+0wE4;<|&rYT#
zg*s$Vhbr*Iz3XlTZDNPz`zR#b35a?sz&GMtzOy}>WVM^UdqjJa-s8ZmaexA`hzGjF
z4-vu>9JPo{9Y(#pKjXwv@P&LRd#!*gdH#vKyfA|I@Gh;$JN2}j7-N@^xN?xioOWCG
zWFfm4G8b_<7?+VOhDDNObMm2@OK2y=q~LtIWOSciN|?3I*bl$};sl{>zyOYjHi6-2
zhK6-3Dr`f0xPu+r2~jz6hYTD2)Wj)>Zye1D-|hbNN=dGPC~>2U6W)fry1|Zh3e3jU
z40GX1hlC28Br@itu-l9hZHO;wYy;ZEcJQZ$Fo2V=-3T-nMPvHt>{p1f<q|Gz{jb+V
zu9W-a-<(1`q}PcX`MR;QE|=!&QUTlx*r0qKEcp{)OlV5L!)5sME+gyVv(_;C(~i^V
znIIC|!&NCaLhHzfFCcANdCPDQ*gc}%r4xyeL<mI+wMpPOXboe4CEjU1nhg^Y={pQj
zDfV_tHzHU%pOHU&x<Em#{Q6=^R*z;VwpH$wt8Z5i%dD*=@9D^kg>bOM<*<rA1ePJc
z^K)(6lxkX$_hln*4nSXdwULi2H-MW}Ix1s>M-<ZTa5=GQ9IPwY1Uq>+C8s8V%JrJO
zeY2??I3=i#9(CqR2oX+>2y5ONC64Dyh>B$j&^c`bPvKbGq6oXh!Fs#?U<;jg!>Fx(
zf@in28F~-^9ma5)#I}swGKrL)7}01*LtJE5bu5RbMlh+K$Vm|$HaeV<BZCQ9z-f<P
zU9Ct9gd7x`^SC$dg|*={^NfPw;5Yh%am;P_X1VP}yGOLU_Nqg;G$<%#cO3k@3Fn9a
z6A&F^s|~4rkVSD3@i#&?I@e{j-Y5U$<v}?F>T>SWW%<#KrhMnPi@gR!Uk0~0g!Luy
zF-&XOyX;&&tqg`)xcR9KPbJzI8A)WwU47jYY>V_@KC})f10rBuP3WLQ;o6R{c8thI
zm~F-LJ2Z&n+Dgy%K&}>AJehDX57{}nzOr1x=@`EG*o|{@MLC$+6l_%pi)?cv5!>SQ
z%{V-8;c>0n;_u)OZ8<uEcuizxpF9YhP9eWF$oq}(#*+j15uEQ!qQIw*L5|IGy-7nX
zcp#sY8}krBl5nFg);|`9HvRaEjD4{3Oa_ah7}kM!t@$u$_jOOy#Jf3qM0*Pe@w_j^
z7?c6`rxHML!<ddln|QZTB~1(d4#-r;TJGS%0eKk|y9xD}pFswDaw07gX@_YAAoR&B
zIYx*Xz*=ylZCi%XHbK@toaCVVvTxmQLTxL<`-{YCP@b9WL;b;`s=TsW8?0Gow-x6b
zqG9~Q?>HhaXmDe297k-PJBpdF)sPRSYl72eGMaG%xh=b`J}mo9;_yTRwG#pz(0`i%
zc$2g{%G<XygH02*hZ9jG9_g%T4C;;$>j&5#r`ateoZ3CKK)ty#;ihB~K%1Yh$)Er9
zws7^60&f4_nISndmXSYwE-yEKvn*H8k9iV)q}gETw+YBu4##H|Vit;Oc#=e;ZxVk)
z-n-PJN3^?joFAAeOx-+JTEXqU45-jXqTMc@a9MR?o)cLZPfU)z3@-YW$+V16w1-{%
zfBu~*`R74Bj-4El|FN(t|L1R@Iuit=03<XnCSKNemctA<kX%N@TjMF|q9}m_H36bs
z<gJE>M0^}X`k-hjA^AQ`JS>x(Z$z|R&Ej^r`bHJEPdEJhm$lVwHV%Xb)>Fp^WD*1Z
z_Kk{sdb=(eOs-T(Yw(J)gTs}{JX{^(FnqVcjUjPaJmo{hVFjE_;p4w1Vu;i49v2_U
z9mdTqzR$@nQKC(7M8@@C+<FGIfAQNv(Aj)FhT=Rm3QGEulXsKdOt~d@AoDJOfG=TU
zT}9l3-yTCfaBdrW6Lp-a&jBA}9PxR@8Jdf^!tF|@&Ax6zRcj91I&pkIm>$vY(#!07
zqAmw$5$wSV5gdGi4ptI7Lr^$K9J=9(M)QO!js;=@A`HcGP+3}%H&Sc53Bz^WI=GS|
zjzOIqO2`V%QNMSyA}h$89b`-lt7_-H>2?(fOOGmsdU4<|jDA3MIJvQ!$LJd3!B~bp
zV8X3js8**>2J<P&C)Q*ECrL<1W7xSmy1|EPz|cpN(S{?U@4oIX6tNfyfh?!a$pE)H
zzkZlEJ6m#o8dtL+a+=EV<O009m>71h4sn$DJ9b$pVMori2@W2dBZ!`Br`6cv?R=XU
zkwX1PaSX4j&x!?`(UGt?##X{2Y-NbkoEEv-;imQsn2;}OF}GdCQP~SCB8O4V1U8BP
z;B-nZ-zdwwi!JD)>60<sD9tIj09*8@`-S};!ZPlWHk{UqVZ$DSBeB-RBM!U?2~Ym^
zxakq?O*)tgfq0=}Jijj27jUi_XA_hb#1th;8KD&kilZz*L=a-)5MsG-9}963Akw#>
zHSXVDErHx{iPtBKI6w8L-#RF#hLdvr>Z1HFAJpWP!G1kU?T%%6WMno0UXr7UOb|wA
zL>O5wRHg=1sZ+S|z*R#(1hqjnQ5Ij;p*kjT1gnVk>L4b(n>epMfU~)q!A|1K?>qni
z7^F!=K~&3Am^w)5MVp{vu64eR-cpej<o@4$Za|J;^p_TK%<pnd3TPXb>1{MS%3A@_
z0XyGX=IhJ!Mfd=wVV~mY8qQ}=jbZBMj0?gLR56ab!(Ak5?DstSCevTTCZW?oqZ4X~
zM{Krl3&XnMG}~Xn#CaHEzJL8BNiZf%+)^cA{?YGE$sgjB%4;7l$%STGzWbFCsh%2;
zKVE|D3TlF<MzaD57L=FO<TlRKr%@+8QtQiXgKbCOL^zFp<``9lUVTt4fKB~A<fHiK
z^VzFbk7#e&v*d^qauh`LH@9ngzEx4#uo>yh8BXpIQZdy1=eTcU0GO^HgnKgY(36NZ
z41DL&rz(gyk1w4jR+9kvJR;)EB+P)8x5M%+%)%L_@ff#NlLMoD`f#lh?Y4wW@n8(|
zrjq)x0yykd!j6~oeM5W^td1714mODnnmAt9_Av&cR56`B4f)bKh{L%nEAlZ;kqm?B
z1|4ZLnmssW&7QD8xWOc}qvC_qRz8+TQo@9H2>0fxUmMgRh_ySMMzDExJ&#HBK(-{y
zxQCF3j5*wtcJOL%Q(NBve#VS&zaopgj!)*WSmX_2oVl)xjErR=|8L3E<rR7Da#`NF
zk(U<_W#lxtZkjc4=U-f0mcRO7Rpzns%tFRa890r>ybU#dn1x%v@jgQt<7GIBmuv>1
zv5@`JmQb_YbANh7yGxf6!8vQEaMgFbkdky?6$shTn^#@sZUItt$xgX465mc^^o4_h
zxc0#(vvT<h+>!*<E&%@;K2boYmH2GP%6n)$x-9{1Pox@<88mPt?&xs8q|q+6PnVOO
zmHLw3%rk){cmirN4`ISfL54|D1~>7ny(~hjW(_fWv$BJ5rsL{l0HT+_`t=?8Av~5a
zaPyF9l8AH~#y3I`%?B3E+e*{v*2wKSkelPx@4-YvxjC-Bcsuf8z^=XI2meJJ>jPmM
z%%|lrbkAI0ggR3wLkln15Cq+DwXHUQ72{=qqn9r)$p3tGLB9bil`C`NBseL$AS3eU
zuTRSlaDt>rxikDLAnuE}5Y<2`p8B9T%XdXwjQ3zU+JEZ62W=t}Z0vJmlBmfj4(Jc!
z;C?@FuE%KuHv7>i;laQp;VBl<a;ms0UsP){gm2|ai2ZjnL^>aB148<=&OZ+2sgheY
z5IrDr5@m4kFbl@u&)g(3mN#6Hp|=`yc$>@H8jyQ9)r5?309-H-9PN8pMmcRv3<q(M
zVlYvWC7h5M$hvFOIy<3YKkn|W3TO|xJQ_ep7NJyY4lX<H70Wzb9R4K;3><WH>pF$A
z0XI&nDf?02GT6s6`G$-Q4m!f{5MkF=`~&_VUX!r#ozsJZz~#9rj^yQa0#XqP!XpBC
zm$I$@xRJ?IJne?x5HAA7u%Og2Gl$K{*&q@(`N=U7_AYi1=$))f)L)E5<86+C1|lSy
z6?tM5%t0y*$%~U~@5Tw$HEw%<dz|(ra3bO92Uk^utn4JX)Az1aaq1%HxJAWmm(bIY
zC>OVsB&HI(Iz!=Q$QPxEqY>FMU{^SRjH3^un_KPhBPb?zQlNrJjEBLqS}n_q6VN|g
z$U5-|%6b^c%{<A?abn1WP~#wsyg|L%;OM%^P7Ms!9EDpnQZ3Zmj1)!0@iD*(QYH0@
z;T1&aNY2lw>liHtR$IQBgAZTFX`4o)B1fjcDS|^y;1Y>zW0<&0K|9ck_3q~?2z_%9
za^-_JR%8LIhylEAPU2}mP^KWLzXoYATtVL$ij(7RHx4#TrxPM<9?5e6_qic4S4?K&
zGT;+{mSqH=QTNlYiq&tfzb?l|bCSYq@_fYlVc@jYai`clqP<B^u=A7PO48|!92~}S
z@@5sc?;6;p#-<uD$q-4A%|4>MV#JKRwsM5g!x7{CH7U#Bw+@;x!24??8+QBv$woA`
zLq$7lHF;trsjsj+d`_Dp63Bm{l>SLv%YXY$6@;&@D;G~4w6@AMYny!K&0@v3VIpZr
zXC9r&qyCA2h};n=h!;2`!p^PQ66C&9$%-5$VMt|kbNXSfQnu0TFBOHNog{F29LJ)L
z7yIPqeA#LIBg{PzY&Fxhpw7NQ8XmojK-`&#*&5h8V6KT+W+zVjdRSKBrxj1Uu7DAF
zc63b{D{|WGmmbkJsO?jmve_gC>f}&Xo*FL8FZha0dT;}`ZOBf9v1O*Gn7~+|oFb(G
zQL)rM+HA#bWqCZ7Go7V3%r&g_DWmaVIYseZxzyyhRISR3gAF+_G6ar<gy-RMB!mNH
zzkEDm0<b$fxFqkcR`hu*Dk+MMYahioZE$0RHket8?yyrBgmAOymWRR4ItuodaP#G}
zPSsjjUc#x7$)OC|gH;M;SG&}(UpSd^uO^FC<I}kM|M7eU;*C5`6a|;ZB6xAtL=<$m
z6yu`*j^Mxqgy=>S_l*y88M^+pasr&*&@W8ZQ9k1|aSS)LR+Tg33FwCBg!*tre!liQ
z!rHwU_>jS82%f>xF_+KF>4~IF^p~Lm633QcNP38K;g1}+e$%!e<A6{_-(WjpH^d+~
znc%*i4h5HAkdLNkevD_oIDfsa4T9zLeIPuFPZ!Q+<2-J*Rg$MBumJ_pNE%O$ao|2o
z<A`=b%Ni`?<(UZ(ie?#g0qihnBiMO(wZRP)W9tnjA*}QmrNK3V8%0UJ-I_A!6OC&y
zqiy**@sooY`+y~~pR{CklQ6Kp!|3y8K-_Y<JleDSm*DIhsxr-hXdi$ckf(-QQmT}q
zK8gCq_d{FX82l7gAv`;9I>Pr5r+vRDj0x+oU*f#9Jde-XFV?q_?eKcJT9N05>oNh|
z>TC;{gx$OX0!X)Qdg75SKt&|r44%p6f#7+0etb!OKD`S0+^{khK(#GWBM1nphE^o@
z*qDaI!o`D4YO$4R%c~=zW@C9FD<D5**)I>(<>=UeWO4-%9><Yz@IFjKxi*Ph2E^_V
z<fku=uE-k;Wf>~qVO;%px6-X0u%oJaKT8_H4IUAEEwGEt_)%UyJSawe^c#d6`IRfH
z^7Sc*M}~%=7dpQuxVe}a$w)pwAkR&f<UHQKEZ1>%8o2Hzt}d`MudXof=oiFw(;yvP
zU~YMt&E%W(pDWJg&$=amw`IH@G%6)IJC(#MLIpgX=fqYI8>g+hkK68X+IQ&za-~^3
z9-7Cg3vyh?vlS(TOh$wXf1r^((yL-ywdwZX8V~Mn@gqOx>EpDeH$RpalxyWh>4W-^
zqa|{4b?}t~MD77_i;g3C6v)joD28E~gT<mei|3}M5+yt=Q3Ks1XVw7=52wy{vyEX~
z`(`})>-QFLv-p|^;@Njw`k)MC3(x^};N*^H$`B!7Llv;gLO%bnS12g@kr*-~oKU%f
zoEj;}S0`IiDX+M@2mve%zS<{*HT%eZ7SH#C^%3D~ur-(~PFuRbw)~MK>SHU*@(XPO
zhu79?b!@7SHRK>}5NGpbM4UYPkpOQ86w>3gx99{8UPJIakYjXcK)!ZxL1r$mf*@jv
z={Xb2g2<;Pa=1@2cSL42X8X^seu%>~ZBhNl27hLNf#3`ik|c8AK$~@AMP50Cn|vd~
zk}rVM21i1|^Qee6%VL>1ls!4TD!((iD6igFmU?0Y#~L9+MGM>7)7D_uB5g|-e+}*Q
zXY&!z<{f-&2qWColL_H~Mb!lrY?@}*O7gWMP)LP7FFaz{xt2e?zivXs(LWIF!az};
zoG8o9m9l(TO5tcG9%2rPj@*&M1rlucgwu$>0scPEuKr<pi~z$k*ehjhJ{HPy2Cw0;
z?)gW^h`3rj{=Yq<eV0BUf>T67uB0$9C`ZPt@{Q7pygI#%aXzFME&l)ZuC=#q?1+wR
zJ*)>MQFa_VDbjSi&2|f<$ZonDph1iN@_uT+^j+)%U9?4uqHQ+bI(96Hl1S>&bLMiy
zD@F0zMiM)=2vdAr(wAq3=gxi2n0}e^**1Ult7mvE)5V34B){hZds#*}&3icN$&+v-
zAMRG95i~(Ob#3>17lds&H|*-bZWOfS!R?V84P*KBQBUeyffD7MH#0m8OMAxhr*23t
zY<ZJ`ncsM}J^hEc84Sey(lJyD?0$w&Soe17QU`V<H@2Bxmxb?1V}u221H{)sC;KOR
zsT^Wv=|Q}K2{&6x$OfswORG1>*(9)tihs}Im8GMFXDwax4>|M%|Cof`k4Lgs?8@W)
znS`xC^ZqUk5kFg(xqp2$@hzb^S8!CpsNe~j93Je(m;yYI-yDG+D}jCh^LA;|T0cLk
z?fwaGe^q+#@~OK@I7pE_gEn>n)yIAk$-_p3W)Z|_M0+greHqG4?9AE@&_qJ)e!PE(
zDdCa)u?HU*X4Rec0iP8+!{SuHyo(F}lNLWc#!cWVw<n)>A~c1SC1^VAtoqIOxh@My
zn*~t~BQIhUsQaB*p2l6&g!<5Jx^VDjO8T#DIG<H6rvYZq^3yEHg%=!Qk5Wu-o1Mr{
z_r_=zX-WgKVPSfcMvWLuYtl9(PTBHfH3c7!TNwA8$fNNgrf2u%PhAjGsjkG$o^Ri5
zb|3jGS~yRmoi(_;$OZgD>>hu+DueE8;wT9IFZRffP?&sN>&xeNX0i?CZZ_MnvYn;K
z5A|IyId(NkQGjr~_T%&j9tYtsWGI-OS3|zt=mX1Jj)%_{*;Qh!@0vBO%<=PaV_IUj
zYVp#sevd;E_Lzi?!sJo2uZ3OMZUeg(+T>kZwv*+m=e@t@tm#h+RE(6l2M1C=pA6)e
zUt=;B2KtnXoOA<>49X0vTtB^c_vFI#xeS@c!+b%vz5D08NX!4H&vUZj_g0&A<tb`v
z_jhX2Y=;t{pMi$RW$5%gtCzI1Chao<Pvu~#&SnOV5uIRtJUzl>!>;`P1eN?^9abe9
zCa|c|VrUzCRa9T~?Cby2!eu*H-n!fQI4<t0`z4{U4SSpn(cVYGp2#h<W4GEJ34+F@
zchnd;H1MIZ`GNR7nZA^bue<VPgs3B>Dn4>xhYyt>ySA0;s~HCFo#(&&pt;!Pg|v3k
zCGme%6u8N@yrvd5+^!-buslY)`=dRC#8T`+)KFX}*LCTD^s&%)2iSZ!cCxlGMV~tT
zJ-E{S#cU|QdOnk*1iFJsD@06XgDr<wIsjMTY;xhl7cSeu;?~I_d)z#8md2f@`-Sa|
zzC7J!Qy=mfZfot49o)?Obu3KhP`qYmP1>&kX4Pqu4@-AiCX8xLE98^e5rzQv<afvP
z6^xG@)0}BRtA)acKnF<-b1kM$^3YpyHO)^hCc#IOU&5X{Vj4bMXFSd@v@bxf`W`yZ
zIxT6dayKufS!5xr%;OR{Oo<%|v?qnGR1bRcXGG~vH){9@;SU3t`tQ1kga2e=;-}27
z`S&=AwrhEM!!8{oa00B$&(I|D@ooXwwIvL%Mqy{Uew$nBw5vtJ^)O_@^@G_V{DKVS
zxBr{Szhd@<Y^j4WC2VE}FrKE<Im(MU_vOMTus<VT++8jWe>t&fB;PGZ^4TqHcdDw>
zZPb9+N5VWa?>BK-llD2JzCb=LDj8P%J={2!W~ncKIGV__qz3;ER&8^%@(Q^){e0y=
z(@>$M$;D6N)03s)N5hY30(Yw+hV^~g8OVoW0ff_*P6tsz+N|2UnPOML8etyzp)pUc
z{olRpr-hfm4l^c?$8e^Pj}ei4%u^dN@NrOJ=08ByJz~DKON;m9M@&yobR-Oha+{7v
zvR@j=Pj-fK4^D?dRJ%i9$9{mDWXaKDWxG9Vk@G?m#9b*y622JA7yYqJH(47hs(upD
zv*<MO=CVqseaV^}DH;;_6rtlbG28JGMu|M!fe-k0UD}XKr_(|0r=fmEZYp6D&oyZi
zg>x)M-2AAyuv)(Xr7spi+~vM}bsWoAQC*@boI69wUEDfnIp_^kWYc0jvG`+(&a?b5
zl$^6I&(XG^%gf0W&T`;Y`lISVeuSA}x8Wb9-3noigi1O#;^8U~HuKHJh?{w{WBPag
z;pVZlD}DJ3f=&E=P(^faTHTw@LmUurIOr{WitXsu@UksWW?Z3ny2S1tVyEtIfn5WZ
z<O9@9K5D1xrl1MzND56f6HvA+V6GB&?mgb#FY#tAlJCrw1?MKm*_V2<`|?D-I7#F=
z3f0L5yy-#bna1Ia-!tm8rKe77a|@oqMSpQIft6pJ#j*>}kPpL1?ziD*zSTsNNC!<;
zp%yCFu~YcGQeBhwc@aZ;E9Lodb6<Uwz;hajyI$$Zo!*K3^(2Oy)v~-8g8&L3AT{wa
zMOTK&RoKshQIb&=35(Rt)^hsoNYS*=+MtCvk{>i<xf{Uwe^8g8)mFmhL>9JDUe)R&
z@nYU;u<C4|eFdcwEN&3@cY3M(4cI+Px8!72f!D)L5Qyt5FvMJOM$`-~e~+o$c~|`=
zcC3-mtK0;&5)2!wps))@atEQ^ni$d-ptF`W6k2gMiRLB|w&|Z)+-&|c*%Z+kS%GY}
ztC9Qz#Qo2xEC&c`ks|zFh0PO2-sje7d`Gy4<V_c=rCB0-n`j29kL3H9!Mh!>8IsL>
zxe>A^Y$vHTX`9BLb4#T*tAtw;5B-$TsnAyCL~hjv@*GZ*{?i}G0SM?>j3HDY?;`Hg
zc2>1AKrU4FoO^H$OU63|cKTpN3ptWa<#s8S{VE8%K9;);1n7m^*apUq2dK`oBZ<{p
zT1!{mN+fnAyni7p^q60IQzUjZV7FI`<XHsbj*9Xe)2pAQY%*b|6K!RHrCS4vTem27
z*wvyDcyY^G2^vG>ZaG$OeRl&48LPuZErz;r*ch8aNK(YkNP+pgsSAnQ^x8<Aj=w69
zOLMC)_Xd&t8!=1|MkV=gQkCumzN}%8U|=4t8AV@pngC{cZE|s^oKEx72%VnI&9U4s
z4-p10k$aF$2hon|b;u->jTNLewC^Ssro_!(3MlD(O#N%?{WBmy_}F>F5fQ`TP@-sn
zz`R|oJxmS8%t@R(9w7$gupq~2Nxn%d@=aWlcnS+0%C1#Kr5ETp`3UOIXEOF(1wnYj
z5~k~da6$wyXjdk(jSyw@Q(cAMhz7{U2!~d`k<R;~*nH0kKHL<;%|`G<7)1zy)$K~(
zutV?xcn+192n=zIScA_|@V!Wjs79me&MLZ+1rUP<D|Xmn;l@ZTTflCol*n#5Q4BkX
z^%<hYs)iwaTfmOE`Pf;_<bA>J461qIB$SKECdSzM0cIig`+e2vsNa*(aDc!NV|fuF
zx;o@>2)#Z?D$*S@fHOy=xI%Bri7{AAHtOLK&kl+c)OHftDIzcjbUH*Z<`yEeZ^1WC
z9krbR1_+1ru^Ej<h+mLg_@%DVjcd|=L&79+8v&8Lspupjt|NF+OVATOL|CjrlEu=4
z2l!|T@}6v>Q;Z#BBqBun2HBJmN2vh|WNTvz3mznmP)#*Nn<gpK=@X|_bL=&(LssW`
z-bm*Sz0Ny*j1_uGl4Rr!l88{?0lNeauar1|-4Ky|Vnj(9P2d}3<_f+s2%LVk86l+v
zyebGBSSz5tAKNmpt7h0$V8uJ^h+ka^fdw5cxHT!P7B`8TvSFc0891XPf@~rgLOw}6
z#JqqME*&sG03pQSdRzw6O{_&29hhB;m1anhdW_vFLbla6#u)#NQCK)pNAv{xr!QBk
zYJ`|h8(FWd>(z2ullE#{E_BwE+{l}XP787{fO2CSgSgX#0Rd7><VdxBn(im(!vj^t
zU7L9cip}szbnZ?c*larBL=O@TS6U!cY9s6S-9q%SBY6|6;n3Eh7J7_vImQGKoobH2
zf+Q5bn#j&G`VJ|=(xdy)qGE@FPD!DvekxeV8FnOVYv#I;z;D1!l#9uRdh29E>l=Q!
z;Z$n`1BG%)Au}f%%ojkvi{6*vqts2guvrY9n?>!zKvN>z1Xmyr(`(-VG1=Szh|m3s
zYtlY9WZ!;+DLKj82%O5EuOJ@G^0MpD@HzRAco=k-W0pzEbfrp5+EycKQ|kAfte4UB
zv15~y5yc$4tia<n^~sDvkHoE2a3yVY`YLuVZeSVx43!K&!;VC~ChKM7Pd`=?&Ma?V
zr=1lJ-G)A=u)0ayyl&}9*j$`WbCeb2LV2ie=X%Za)M>8N>FcJ~4uv=KyC&^7gX7Al
znBvkR<Z2|%?HKDcQ*Jj^SgA+JM@fYWtmN$!-ALNV=DI8O>#!qP(>*7#n_Jo-6D~UZ
z5*D3d<r9GsHMi^K;s{VKTui6ARhd8@rr#<T8X|MKI1(oIM$Ft=Ez#HM>#o-qM?SxE
zP1-pYZ*|WU*jH#HrsaQZmd2{>a@w14Y&fmjF2DaO%!~+ZyL`|3_+ki{PWy79esi&F
p{*$f1q#TT>d3`MxAEj^K|39+ZFp=S^zZ3uf002ovPDHLkV1g~eEY<)3

diff --git a/06-Trees/Trees Interview Problems - SOLUTIONS/bst_trim.png b/06-Trees/Trees Interview Problems - SOLUTIONS/bst_trim.png
deleted file mode 100644
index 095025c9ecb3166fcdcb5b5c1fc5edf2576b1d36..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 33369
zcmXtfby!s2_qBqeD4=wQG)Q;z5fG#$2BdT7hM_|NK}pG>k&dCH8)+Dtp}Phch8}7t
z-}(NY=l$nC_rH72K6~%8*4pd-{H&pb|BC9>lP6E`l|LzHKY8+$3-dnq5(o3dB2wRd
z@`T}uvcd;l->kz9gF0rV)b(rBg2zPLT%4T6I@Ny#0sawnZVQ4d*7^A2ib<o)GM`vs
zqLXY4GEq4f3`xVEGGekQJqE;7>%a&E!sYi<A@ARxmn+-WjjcST6%>mjO9B*jD&+uq
z2mXtdKip)4ACCv)b3IoC$=($uvn#9od>aZ#G%PtV-ZLYg7`XmW_~M&$5+G;BF^L8s
z!|LBK+K0lk0^wzYm8&n^XOVMblD$LcS)6~R%;^7vZ6NT6sVxNc{A(@JZVur7tL3_L
zxve0&XAx!V2Wb0clm2VG0xJ1gNti<2ST>+$f-h=#imffUG9a}!VzC0kU0a(yzX<^&
zk4Dk^p*5EuN%P0qcm@5Us)^-OmN^HecWKndxA3+vC|cH1&O{I)DZ%?+Y$;x4&v-a(
zX8bJXv@FlmgX@&UN=Prr!z3Q~KPJDy>J{<@CJ72gydB^mQttI6v}`dEL8tQ_T&&Nn
z4^mpqwgN6dXxU*3IU9~P_A)y`V?Sx)2b#hNk6A4#YG;!ePMPb1!w=@4I4C1=!|X@9
z&7p%nI4di;HJ&83vUusN9MR0UG?Br}d-sN6sz`j()&(ob{BPLlzK}GHR?M-JmHzyG
z6(fZ0DHHGeZKEP3TZ%e%ZqYA5MV0F<&V5dNk+XSf*Pi(a^&^OtllnvHHV|^&sezZ0
zo9u=(@7wcv5$NsH2fovZ8%%V8D3>h$UbLIUqw=i^Ls~B<*=G>3;lkK$q_PDFN@(y0
z>w|_<F2C;ac=;X&f>o)x1LryF3slaa$)kl?Aiv-wKBsK}{6c+!^<FTBG5ZtDE6&m?
zu)3^b>N>g_zW};lxkN|YRsEWYzEoG`m?jpzSaKKW8!*IoZYOMbvBWJ=NtT1;Ibbx9
z8&>kwd&|bLjY#gc8y&V&7>sXjo!tqTaP|N}!bAm)fm+HbNl+xx&;ORyYT;lxCOa<g
zT&lO!{%~3-r9_w&P!AxSv)7?r0q|*B{YOtSAf$4W`NsR^jP0&4zyInM=g0<o9hHi&
zV?f0CdP-pY>wj3viF_Gq3z9N6611lSIwp_(K2?*i+6@|jMaDH;@xh){Mi-Xlcj`Sg
zvr|a@*t?E%-$cHO%wyI!x&!T;&}K8myz(G`3J~=S<Xi4##)k7B1>4F3{aMJrQ;9*H
zNC-L4w6iGTOWlM|xFUa2pV6v<3d5Df;E-(EPi*&RuEx75BS9G%o8?R=aPNxU=1vX@
zkzU*P5Jz3-gf+?t_V^k-abCesB1}4@jCz#sJ9+^WtTL@nM)2GLA;&Kwk`t5MhcsnZ
zx4Sxh{wrx4_#UfnJh&nB+dH{I4Ki<B@40vSt9Lu7^I9!_Jpe70xyqnJRw?V3t4BG}
zdLBr_rv^m(#g&0);iy8(QT$Z<X=Kc76emh*k;-w)sHCcr*k7PwtT?T)G3_8dT#q&L
z?wh;RD>Te(Wv9bPXD%Sq=_25zSD2LmK%2v$N=p{l^bwEE%KPfNxqbJvIs_$P)M3+Y
zH=Dj7lD=@RxjjS28lhgIjslX(8vto?tz*!MH4coa2A?{*Ib+MJ#(PttT$O7P0KAn4
z_O4tCZJQ>}K4s`XG&tAofdM{!^?Yf}2{&z-_NT@9*LO`{Skt)Qpo-b|EWNqE>uJhS
zD6KRHfG=(O{@vcqFYI&0q?Yl1mesCo6)75gTA&t>OqNAZT-Qey2^jT%nQdtHdk|<9
z_y*u8DN~0O-hE4;hHNr#{X<WI1KTrCM~g<9bK0zbh7aNWgvxdCobwn11q!5&r<c=;
zIYhmWr}0_uGuQnxP>#+tO1hkD4>Xys5{ip7oY8#ae5oifUTPU3M1i;19~5hDf=5i2
z?CJr&EaPm|^@D(p$p?n*pt<*3WU^f{yG!u*&2b~ziPPrx2WmrpF+g@5)RB;V#`)|x
zZH{5mJ#szJp;M~<vg>o3T$MyDhjcjw!1J%7YqWyi&;N3C@wV&2IcsvN1wa3D!iOd~
zPa~DG8!KXqnfn;A_&~<hwgUd*@%Ngpy$^q%q$%=;TrbLWwes(7&H2%6G6HRKwJ+cN
z(zXjRNEdnpz8=crxf?ks;*9Nizugq`F1+{qm~*GpCp7YncUri6kvs=AwMlTJ0P$Es
zgvInffk@lLOy&4-zEO%emEXC@*h$I-oK+HZT1>)`oeHZ}$vH2?sNZN0k~@!YtKa=g
z+a_V;_-og#d9Jr@Hp9zLMOpvGxHRSn%J9TS|4qiuw96DCwj=~~TY9+g@=TRF^!#pf
z2IrPoWziSm*RC`?!)7TT(uq>DGp#S!t@i6#C5)csPcLRYP!0%0*hc$9DUict1`FdO
za*CPm?9rx9ftNCi2TOQK+$yd5G52CQiuZ%L>#QK73(0I2nFH3gTQ3IEsJ#5WWNno~
zKHmF_xm|df;-ZrX;#w5#BiqsMxz~CjiBB{5M`Np2m+ib$pX~x<H3PB+1VX+3;T5FO
z=qTi|EhkQpoTn6(|A3UoRgNa>?@FtyPS)Ov0A;yxtbNk{J?z~D)>8jzX#5uLXPv^X
zm5OM+=Vjra{SaFSy(#%F&=6miT;bDJnBSfIaL#H$!i$KQIasi^QSt9oxns9n$d4+Q
zGSPHGZQ)r_7Mx<q2Kkj}EYM7n#LhVX=v33?cT%w+`npD$)IAA?G_tFd2*Z&At>kz^
z!G4l7YB$l>#~${Mujk!gDSi;<(k7b=tYfikO>Sa`fk7i7AN`NsX#Ey!aI^|aGFzoN
zN3TA$H~jJNYWuS-x)2#|PovgO_Z&|;MVtrLU{8?p@y3<{Yfy-t)#jkVe(OMQ#%8oU
z=DP&iSw+7emaH}~sA%gLk`0%iee#JzIWaspDEKe?)qeeQv~)=*cLIY}KJD&c;I?s*
zS=B^^%=5?FTvOTQYwhbMoAxi0I60aJ_2|2aH)#?4_8C-zeZ^l}iG`*z@J0$E^4K!1
z#ztlea%`iwFn7CO&Yy_9+M`yy!WbFNV!J-Q32U_jDgg0%ZDTr#>0SU;jF9@GZ2IX4
zQt3jHnrmS6Z4uddVZyl74n&)5_&oDdk)dW84~y55iOljU9MbW0!pyMR+K9#R^2;s-
zJqzA4r+oablfOsAABlm)ZqC=2YDxOeX`SJM!heeyAQU{*l^L$cdWRne8%wwDRCpY9
zW;n8)o}*`d7S5F)GE`D?3kgyGijo-=Y*=QtvAA5-_<2jXRUJ^Cf#UBc-J@ukPXoQ<
zq&u4>cMwNBado~dvFb9d#%f-TKjuUT-cT2CVKs3F9EhE@uTd%{jK9zP<-oH18xcDM
zmUc)VvrCsSH!?iP7BH~y2sYRodFCPz$jTH*72{5E)_<I)`)uRKAy^DJ{Cw2(Ufb?%
zI-zoOIG?D{bA#Ol;G5&L+Px21RDfZ>8NmKerk9~O^hYti$n;+fr<GR1uHX+Mw_mEa
zy6K<e0bHF4miy}Bh-G`f?6!Crg^hjLAAa_^!I%^IYnbn#y*ydbHMgvT6}zx$j1@bH
z5E7lBq^}gl;S(np$`Dd&U=Y@Q_{b@|Vrcq`M|y?pvVS|v^BwsE4o=t<(RY9C576Un
zZ9k!VocT96cmp~j{@huM@h?D9)ye}ve;=xoN03$WtS}sGG1D#C`!?DP_wr|%qEd0h
zBE=F(pI6250;j11wNnCkjrU<G+|1@uGc2K)<3$**WEjc(rA_9_!NBd-fQEq>?<1+`
zCVblFPT&o!0j;@yGf|Bi^G%t%4vNUz8J`MgR#q9*0Vk;Miil_0(TONhdT0APQ0w>m
zY4g+Yy~)t9%PefPV=Soy4a|JXOb}`qwi$+S1sNz96tzpNw^E2Z)36;9$PN7Ydue>v
zp<8y&2J8P5qc`G1^V0Y<T#jw5{^O`_o_raYY&pdyz_{{vH=9qy^RN`^dVxV(DyvLE
z82pCaBJH%C#ugws&UZ-hUAjVQvBGqgXhNY{k?;2RGM;9-h2YfkGhlSig+!~U9?;To
zHycM@MVVyqkWTZ=n4IJJ&t$ky&g-WLCqFhYnHT4D)=%Q*cK4QUMOYr<<rXt=k8cas
z_Abn8z(hc4><{Tr+jl93c3JZVnKTo7<HNti#$8;8P6FrQ+6|*sOiIg~8y1%PaL|a_
zy;HL-#cMoGU=>lha;|T&+p<WRvuYtHOC5`jf__N_lrQzN*ScM=d#K|RCJgvYQq}y(
zy3UR&xU%?!RcBLuv!bX^5B%B`ac%_0x+h`ez?J$S_S4{cBhpMgecX@4&|sm-us+D5
zEeaT|HgVY;K%~!u3(3kf9o!M}%20aV>s={n4{K1-Cu_;Iu=dK4`OFIWGWP_8m6_<Q
zohdb6URLgs{*DW&LpuuKV_5ErN=z$ok9m7E`u3$kJuTLZoqdG4_`%+!;cH*3Wi~p+
zdvx1iphSXkK<i+ae^vJ^e!P#1Mmlpjp%7~LXhZ6);P-EW67wMOELPM@$f#X+Z324%
zw<=(2I;>|B#)+ddSi1cr*9)&Ys)g<yfHI@@(@3!tE3fTA``GJ@p5a=VMOHw{Ah+Ne
zkisuKg_#5P((OxoY#w`iJHWsDFwJ4UKY8>Zek+YSEIh1C;aFj4j|%0@6^sx>eW{nn
ztu8E6AB{CkE9`R@I4O~tW5w1cZAtc9tG#_g)Z0kK0Vye|^>d5(6Qku{($;y;QSb-8
zc(AyyuBhr-FTt-@X4N*wW{_R#3cxf!<)mc3girdTv9Gml9C>w<%#+gT;z*f_+^9Th
zx>H=j)<gI=JHo=jIWCEP96lOyaY@O#dK8e4(Rp02be7%~F{q@{Po(QmwDT-TSC7>s
zBc^-*)=*05bkvHZHtgXQeA+9+21bQKdn|RBKw<f)YQxaQ<nb9C;wo;eY2-Y@Hod7b
zI$;DWO`1JRy4^U90{tJ)yX2yNBCXNTJUb!y#Jc3BS&(fkxZ1nfo02MLV_;9|{`5B4
z!mv=3<=r!Zu7BnK74kCGC4Y1pc~c{gzS;MK91ItPT1e(7PB>pq@Fh!E2s{z)s`v)V
z|K08a;6%2URf@DqL^X3Bm%|;PI|*BDiHO5~|8zhpasO9$Wks^=VXr?1xy_-enI<n>
z$l5DiMVe=FY9tfTl228ahkLA3E?<6SRwtC(czGv~=ag<I_{2Z+;x-;D;$X)~1JGYZ
zY>>t`!AE9qul&U)QIC?|s4(Aj`5dzE<ZMt>mE(0QajDn;7R!*1CXyq%srFMHx1nO4
zuw}6Su_gE)B9`Y^XscRQY%|;H=1AW^a8E8N<UDF;hg>O8;7c&A8q1ngv!RQ8BD0XO
z*3xr;GRiT@lb<rBb)-G=dmeZXq<#tIa~glZEBNu}f-4VEik(pbT*Y;9s9zfru(BhH
zqnk=khR%r)yJUZIBaLYvB_wcEk2Ko0z7m-*AhG%miSmd-6rp7B$z}eXhj-lss=d5#
z%Vm|iT+iM!o-djwD`XStE%{rf)Ufg^U#xgtNQnz&`h}5PI%P`tBk~QleD({G?NX})
zPo)x$=&f<So%6)cU32*VEeeb(=qUYkY9Bc*U(yABQpe)d(UY!>dKdl|^!y=$A%-bK
zdwoXl{Vs#{AKHA6JXVDW(q{zDN&-KhtJ8=78q!THgtl#|Pimuy8Fnh-S>)50`7@6k
zKF+}ZJTuv3cOFMsSnc~;Ms0ZEWovYZsBZ}30pCD4b?Z3t35@&Yo$JfqK@@BO&b4R4
zm%}!T&hxF)`WB`0Rmj>Yk6-pGiG?Wr+6BoDK8*wC0+FqWD@Il@wG^mj;@_OJCy{ci
zbG-8l7y9rO=@@d4idQQ;SamTXQS#&0#>Vs9v@c3UHCmmV+v!O0f?`H4%3mp|+fvxX
z6y4R7Cyq%jK5+_j&bR@@3L79KoB>I3uG<EzeE|M*sR<B5RC+FyA0{?{dH`B|wq@rc
zoG!_wJq=;u_;-OO<JO<Ff0>BM1Wk<_<Qt6}OMy45H3sjDPJ#K#uyE#|&C{=UaUg0R
zK)q%g27&_9_89z?**iTl;??0~nq|Q?tsM?5PZMmQOqclDh_jHK$3+A=NE?2c;-{Mg
z7xlBzkvuSeA{G~hY`rj~GpbDHRU(W-79@_KLxdB*9~bb(-Q0{YEp>*mF}pKT_6ds?
zsuiK6xxYsa)fTYZ)NvphrKBd_E5wMvM|IMfYQzNqyNyFPAFOm)GRKkk<9r7e6zgJ!
zyCz-|%hN+7!wXc}5f%qOa0ipsC>q-Z@K$RUPa%AmoLatEba^c!i>o|s<9FB4q{E>W
zjnns^XBIO~oQK}L@nA;bT&lqX-zz_RT7UHrml|mPn7AZ&h5<|ZfwUSPtR(}QnqKTk
zdxz;YW@wFTn)bt1yb2y?+Axc4oygou6G(Uqa1V6gm!nii=+<&F)glQ@WEG2xBpM*O
zixf)zfqtAm|4Z(|$F7?-Rc%?ZJHYKaVhNK~Czhi0_`_x=9M(gZ%FWm?+>hrhatlnj
z6Mb3`Wy&kt%brsmNUxWTlfsRJrrH1~iX{M`ljps<O);7&Q{E<EhL^q$9o;Q+;hIWT
z_rFzbJ~5AEDy92Pjz#ky2&5D-*11sihc;!8RLBny;r6)?!FQ8O=Gug)@sV_Tc`oYW
zJQh_OX>`m3_Fis)99xQycuH)g#I5NR$S3}vT%dIp3q5MWWf8S53ua_db8sz|Ljjq%
z?YGaK9_fXFn@rk$6%tudZ?fn9eQ}tjr_#g|DuY*7j2~8(+D8#%gp%EwMd!)Sc&Rdt
ztPex*W~lFe#J*N{4Y#!Og@4PM9(A=~3>WumB=B6Ld}=CbtmgoyD5@&P7LaUHw^J-Y
z9AExYV?rNY6}l-#(0KxL5@~5Abo(Q{6MgowdP+-TglmcDKSQfao29|TRI6-V6Si16
zk%wR8jT!ZZ>VfOLfx?4@ydb=eDnXz>irqYIeB{EgUzk!c(<Rq}YrirVEuj8MM?l@M
zK~2;YaPKs1{Y>{zf`Zk`IHG87$}fwo7bTT3#=7bqePT?5>Q}NN8XP>kr}XU{6GBqg
z(N?YeN;j2eiUOx_*gCw|SsZ3;N#+>72%pa-bGpQ=fO|V4AiJh3CYY4ztcKr7%DMfZ
zaU0JneZY4wU&Wa0dzzh-qo(j8YaJEU65cnLPatfA7xI@?{<J!>&~g3lw~Tj1HH%Ku
zN8T;9Q(KisKZNKKc2(tz;&iL(;sIQpH^w&^b>}&k3RI~Pg00rxIfaHnDXiS*Nrsuz
zh+liR{Jgm+gm;@zrn=OGAhfUwPkpe}BP5Li&<?4Z;L{sCor&g@$GYUQHTaZmhRm+8
zqEQDqQ8=`zd$HcuvTGH!=;KYG?3$J@{7p>PsN8*|HX%P>2e+NRHzQmoA>wxJA`dIs
zI@jO?oui&#!woHiQ&y*cDe8!<@UM5U?|Zk^FCX=IxTOHU2D`vy0itSF511e%1kt`Q
zB2B=w4b-I?DTuEj)Lt%=s#4P$rd7hL(<}kH&;{B#4V09tm-G)!n9LVV*-aw6#G2MN
zFNgUDMU@UC33?n!^nnd}<E(YSp+q>dx71HHxh0Rknalip^Zpn99e!TGC@)BiQi|1N
zf$l~^UupjPPgB3mZd?3=Fj&PR=w>ms3)(RDcB#fm>R>lLMvpc|LJAsl%SrL;!LU@(
zKvSJH&{1latx1zY^_yEz(PM>lYd42_w1mKVnD)V|?t7+bRp&V#Yt96FxwrJFd&QwT
z>ZcE;WG2r)m<Q6;Rt*9sMs`}u3w%FQ0K7mkK-x!JifG4)WCKzFfPc1EszD3HNJ<@1
zHcECrZ*K%h*C?46$5+fb52!uOSjiDWZ!oZ`u=FW02iua_a}4}0{sXN!e{E4=C<I+<
zF5fFtU?p@3REyf^#inOFML)KD^{jFY+-PYx@!l(7%WlMww@Hdt&pJdjuKfIJYr<es
z+`FBaTT^*U(h9DN#;JX0_H7HI#5JuXbEkGaZdq<cQzeyQu^9Bl6@SRtG51;<KZ6Q$
z)h7d=lB_-g?2`CXqlGya;MMy#1Fw`gKG>IxgMQ|Yrhcou`GJc4RZuuA=KkbEHR4>7
z*X3-k&d7N6c+%xYwYHQ=9>CffTq@;ttAtxX;GBK6>KKqig7>aYx9y#XTj`oU=eEUx
zLQ1#L<{V(C_NqKE^_lk@3T>4w=FNe}AM_#hBkMt}6UW0OPo0EV^fRo+{p91Az;Bd-
z2&}=Mg#H^ncDJ<nx+^xImyzT$RN<w~IL#5nztexkPo7Drq@2{ImAT9WcE^i*n`P#B
zzNF(Ac)f^k+S%S%FU6JgGv|Qf+2zsz(!yN#BPoDDLbI4*15bXN2_$rg?Wh8Lr42X{
zq5zOBGPiRUSWC|P>85}!K5^h~hyS~UNZ#)kn7Gi!{7g)aVDojCKlfrQL@J75Z85{m
zvFK@<ZUSeRy^R=>jdt-iwa!F4Ety%;pX;k6^wTkYdO3}|ch6s49WOqg_{{Xm<A#rv
zMu{#r=O)nm*DB7YMCh2y-%QPF)LnJX9@J*}=B*b`7-xTFex=GADyFXSB;^-Qmr&na
zi!^?PjACuJx%4bnqH@>|0hU_OOvGJjQG16yCuJmI?uyLjzq>_snJ!6Yb(YT8<ZY+a
z<iF{eg{Ys#Dq^o+|IGif={7WM-ZwbNb3!jHrc4$7>{C|Hv`dkQMcnk0aJ4gBdww{4
zEgUSuIM?PZkxdY*cvW=3hlj~kwVt%F$;}7pNF%mH_hjKR*ae2H<3DaRyf!v=oqE|W
zK5ifTjpL*~VmH_-jWzeD?W|S_0G(|?60aKYMWVO$m6pwCXv`PdP9RiUsq8q#X7>D^
zf`tRK<Xt8DqjR5JIz9s8z!&47jed3C*33zJVY?>5-bsfBHxnO=8VwCGDXFbvhMjGu
zcuCmTj^>Y{nw+%{g+=(6J+oUye76D~bB4y+#*}|{HN@v%`u(BzEZdt#f((p|3YL$^
z@aBA_Y{X~;=;G5A`6ZdU2VaC5VN-+~bV=gJuZLVpxk}fK>lo1*;?sXXPn&?*xFl6G
ziL<U7BVg_86af1aKfqufMzB>??U9%oDK{M}76T?^{_Kp>&oQ$Ztv{Y~0OK}|hJE5_
z@f6$o-)@@dPdxAJu>RVpp7uoSAcCR(u%cOqY2@Yq+M{75T0IS;^rx#)5Jb|@(Rp}y
z^bEW89rM9&|H54s%ti5jxc_uhcDG3&Z|yfceoq8u7Sv^Sx_w8Usl(Ht&Eu7~>`>F#
zsMxj6TmPCNZaZ{}DpoOO(27;7Czkl;K;d*27q6FVOJd#iv=ZXj4ss6Dud3K?jo!l_
zvAzQpR$~`9k(y&TTgsVK@0T5bORGL*3CuqiAeo8ceXXQ^RPKlXS(ULGbzOKXb5LqB
z1z#=7$lhG?<Q`dfJwE4=YI^5u!M%$?R;#1=<t|N<@#Y>@DX6IJG=!H#d_7Ls)85Tr
z-F7`wV!M1KG~qH$Y)=F7lsKQqZ4)WmnE8;QI^HX(NU;TsU==z&$KA^yG<r;qjj-;3
zPul}UYrWe{{5#eHIZD@ubC_}6X#_D*iXV(oEEx5T9gHc)y(7Na>Vx-6D<^(M_Slqk
zJL=yB{+oS`X+I<)dys)?vWFS||A79UUHli1Y3FJ;pxp_|f&AciJ)D{MCH$`-;h_*k
zCxD8sK8I#>*=v8Ifk1bkzajUF_%iLn3~JheFL=B*FOQNvo%e;XTUU9qHEcVdjk<Qu
zgjghLCl(_D*V*G8&WCISvIWv3!nH=36Y+H7KO73g(Do?2RgEP1#zsU%P~RS&1D<x5
zGwhV#XcNN9)vHr(Tjk+W%^W+#$E!k8x#FqAyj+^ke>n0{a4}Z#ZJ8gOK6duTS`9Og
zhjzKZw#OWi_uWlAZuT7}3)|C!1>?2(T#0(sNFG~_u)OI~3IHS=us2FM5F?|mV{bU8
z``s0QFXLQJEMA%K#rjTfYNu?JY0sXDWkrJGEGgaxJ#y`nrbaBKUo$m&Rc5;IODM>P
zP75Ai|LntO-#4xJ@}dNO)`FPYz*KpOP7fb*oK+(8J9U^}Js36i&v?EcB^AoR@Dd9H
ziN<U^T?(mUadP%Z>6-Y5c{J@aFj0}(%1~pC{^2OZ7-M-HS0`PSiA|waN9y?A4ZR9(
zM6aQYj2E3?F20^LM#&K95Q#Wq+p^piIoM%2;~rNmVM|f+_m_d8eb1aafKFAE0iXya
zgX?mnmzg!*a~7n+R5=!<=}<}W*EfigJIp*QsW7pjcq2U+T8B)mY?N=C%}@dyc?Ue+
zn{?hoti(LAlc}p#e9J=oIvwggO#PmLsS8%j;US$}zHDv&s&WSZW<6(1HA-|?lZO9q
z<(Sq+9oA1bZ=Uhd*ysVr)!1YYa{}!iK<>66Ic132SBde`3i^`nQb=_p`xuFHsk2xw
zUkuo#MlEJ0B6%vcNFqU#(it!~VyB)|aj?S5$HC&Bczz6ialgpxih>{iQch-k*4~Ub
z?eQPgbNq7;yAC_wXBiZ*SQz*0O`)#7*A&(*?}j4xBG}Eg;1Tb;=3@6at;!A}9hzsP
ztETMw>@dwMc9GsTz?l9-HJ`cdDX5P66bhGF4>^*WANO%@DD@<LFzoM6MVOn!NZi`x
zOFMV4(H5NR_q5_*9VVy)F7y<wMj%X2I%GwRGb2C$DH?UTZ~r5@CHwE3tn2pR$EHv>
z$h?i)_kqUPfz2x;*g{@<y<~db&jlsY7@TQ0+gPUhp+T)*7eC3Fqa0c~-k=-|B%JpZ
zu#mzPe?_~t?9=SdoX%{}H|uyCh&-SQIjwwcyygVEh@Rlo6VJPwiU;uPbqgT?v~-wJ
zcC1UyjIPa@Zt;yz5yAiW0yLJYI)`(w)CtciItqNjj83EU=ajyRDKCiApw?wp;4iv5
zN2b^Z2r&n~fyVa@mM$W0u504G*v*_r=X`cyb{be@mR#OQw{~i4ysUFlbD{ucrH<>b
zZbL)F(v*w~2w{Adu8cQs^e*_%*wA#~lXL0`*Yh@BXHQ_Ad`V0DAb>1;Z6Y|?A}y;9
zw}7Ww;7~9o9hG8`p<hZ2K$KNjux4=56$><YUSk(P-FCE~-EL4`8QBe2*){ll6VBH{
z>X%hl%)HJjjmrd;dY-|m|8?GvfQ`%ZFsIxegRnzJ8cr~m2(Spi*Lh>4CN3bBkI}ZB
zgP?$yW;ETg-!`l{pLXksZp4;gst3$lJ%!gEIUO$$BQgF5Lp593=nBj$9hhOv<=Y(x
zr(7du{XcRBu=ncG{OUSu9l=9p9bLUjO)v1+_^ZA`95HzY{Z4RU_@VnVyz8;7347*}
z0TA>asbsRKJG_PL;iIfVcp3g^9Kd|5gV2~>EHLm%(o5qPB5hB3jStTv*IWPA?FFEy
zKcg;w-{yfc&p~*^Il~{y_CUL{Nl_LtHELxp7q#VbX}<H9i6H)iD@~}Ae9*OZPY4>$
z9eh44v&}br{LbNJr;nD$A5xh8^Liuh+lS!IV9p26BcO_@h!`-anz}OGI)GQ`8k<QI
zt<4{mU-ZLKDu*v8f+jNb`pTq=Ub&e6<<pMT2}jLKbg!$)2Gk}p;v_+ILP)vO#UOoP
zUkDAlxWi*oP3a=4>ZuvE%Vy0e4Rb80j4tv2w;X8|{D_tbL9Y?CvAv7?8jPJ|Lf&4V
zFzG0U!oR%V)tvo|tM#a-s<WIISX-H)&(hnPbn(G_W^sEd_od9*#PPO7#*w>lP^7Dw
z(cWD(FcY;}EW20Tc!@lYG%el&ryvF;fEbfQfv!m|%OY#)PZv_FdWZ56Sxq3Fzyw%Z
zAWfki1%E1gv%y2ZPWQGXvG~PARj;RGA}agP^AOD&f_~6NTfM(M*BoSbjQ<&&@?l<w
zG$QVrk6+g|PstdKU%GvkW=~Nk7&<}lT=Yfgw*A$A*Z#|U%ky)7s3ja;lVfsI<{S1Q
zsK~&zC10*r3_AO`_#5mSq)MLy2J4`xh1Kh0WO=qg|Gn_8;E+hOAW+|#SOEQOf7M1&
zY;wtMs0*w_xD74XrE1bKC7=ny|7B`A_!%)!J-(xjfRZ4zFdA!Bk#v=E-|<TqJYyO0
zUon<$&z!ulbGjzs^d0`+$ayc%R?gj9avy49E0=g-JMWXi4EHclnyt?IxsFcuKnC<Y
zIY^$DB>)@D%tpv~*POEblIGpykzV=-ZpX~ZO63d>Aw2X%SNrgKaO=brpPb6R=w^d+
z^OE|$sI)|O|2c0+;KzR|Y9>~uY>WFNH(8B`T75%F+*?$5I4J3=Zl`!;wEVEp(`Oe(
zGS$Y%XOY!rm=PAiw>`1}MDUforgBC|SHj_UnR1utLmY!a!Z}+u^?Rh)KiI*FC~3hd
z*JgQa8If<63eNVAUah_}c57EYV8~k!v8Z$f4hyai|Me2rV}UOl2W{9kjJt*nmrK^q
z5kgWlgB4y7|6XQgaS9Fe?4|tU&R)}k__(R&3hoA?b0-!xdC8%mi#gqcWfC>QU&<l?
z!o9$^Tw#q4^vH7#$Gw8kcfhl_U>M!JHI;`L=*G^>&5A)h!-iMQ>4s-L*greuq7r4i
zdhq4CS!4OlSNkkCfjDuh?=*OFR~p5bu?7w-O*zfxWZ&nR`g$JBZE^p`34|>o`4pM`
z)pWT;IN+wusS}{?Pd&zo$PC96DwHupBFRncC;IUC>%<Acg7~Wz&qThc-<y8*Sh;_B
zJM$Qni4uiaVweVCKiK08T)XuK;nRvq7;{Za<0{K3G-O-^B&C1vPJ#O0ZFW;2z1HPE
zDx_iO8(QLjy3)Gip+9Xe{5tah-S&H?x;IU3p%tr%a#|n<5Cn+^G{wdfDQXm8@>zb)
zpfBaf{U~k|wn#TW#T@PB?;L+3Ro9(4FXDTqovUGmrj7#LCFGuDtKE3n{sp%&9TPBK
zX=oS!{7rfzgiSwj>1OgmNo<k40hTQGGd+TEn-43!X4ZY-*bjp&&JNK$n$F&@AW?v<
zRKr0VJ5VP?VgN%wJzyOgeJOPmk^Eiv=U;OJ>nHe#HiQt3ne|la86Q3`82!B!rcfqf
ziRt~H%V)|rhN;Bq+W4{iwNblQnQX|XxgBnG=eADCjjndj%<E2xEpv*eZh7y0fjS;#
zNz<9!|7O}|X79?pSVZxEalSY5OFyi@_JZE}2OP7shmi37wrf6bsx5c@k5(PiX{&Jv
za_M+XnVT1JeIG63*Zu4>=W`5mk$KLCYPa>WY3CS#<9jkdnAF#MZRBOhz4ReW@mH51
zSBdDga0=$o1Uhom($v_REqgqdX@l?jovWN0Fg*89oXgD58^}R06Q4&|1C$x|v{!61
zjC$~XnAe3rtp`2k=_ToWAJ_u{dEik`7%U!&N+mM0s8|xjX)eev?OCqxnLQ4W<}5kz
zN;5+mIh1wcl-|kSUz!A;Zt_Sf5o_Z*)0-}mNzKO_IQrGw`jlP!OD`Q=-SdDRDxU+j
z{##`);4ClASSY>)b?B_JA8Yl09vKM+(8LP#3jf&X4eOVmL(|QVfN$@&=Xu?ZjLFxH
zf(5@vF|pv45XwH<#do1EP24h!mt-*N=|;=(O7kcJbwwReiD(?{{7o{zFL`$tGsxEN
zT{I~B?}|l4qC4@h+!~nFblf+>nB|H!Fin^G^Rw&Uo^9pMCF*nAuJ*A=Nu8=J$-y~8
zdZnENT^R**%eSsuN-)~ahOOTQ7b7!_KR#``y1IFMkGwyQ-di{jeHF!2wBt*14yh(U
z!*bWRAP@Wuh-aY?X<yKLU;)Q&HJhH<UH*wqWkxv;3$G-%CJaRCoL#geN-7WCqSJpg
zM4*F=VZRDKpCW_0V~NFbY_#G|TH9p;hHfz}sUx*(CQg|GwK)DY<e!hIc!rpi=NaRw
z#%rx@=^4-7WMu7=1lNHHkkRk)cx4KYpgo>VufJWsNGw;G4vlJ3uCuDB3(yP0U9n65
z^_O^M+SG~a1_Q7(pH8WbiI4_W&L!iOwL(gvUxLJi0+m#jp#7O{vV6Pqw3K*OVwbg5
z3kWy5cYgeA8ZOg`<ioX+=?v=8lv#tj%C53S)y)%|?f+HHOf2!Abhv4tE8!3n1B}pT
z&*^Gb8bw%mQUIq$>{G4Q6=J?`bFF=K@J}$uV3uv`#=+<H*x(bHrs1Y)=hLlzy4BP-
zF9{-af-k0cWN&ZMF4rWCkdD4pKCf1Jf}bf+?Y}-YRw2;DSy}5Efq<$0kFl-U*>>^F
z#k3;}IU`Tmt&%%otJWWilJN%Kg`gh^WFMUV>uTz@>FOe(vnBmfE9PlB_qW9~Dk(fW
z3_JfcE#%@{Vj>H9E=qrRJ`Rpt$(FwAnk8$m$?<65HE{K-U+xDZgsEbSg34P}GX-3=
z03j*xB>Z_2ZAiQGD;=Bvx`rug+6Rjs^TnuQG5x_OGLafPaw4uavf_Eo)c*<;d?MX6
zoH8cz4?*749Gq6$(AaNSVnz3(TC0i8VkrATdTA|L_I8}bw0R+yx)M-8Vg+-gic=yi
zm;>j|subAwh1}m!-{0Sct1j;$8Vz?p=CbFIL9Lb3bHb@i$#pn&;$FzR9Ii0BS$Y$&
zF>7x~gwFGdNv+54i_$KQ;dGd~+UKe~T)sIRAziMm(&*DA<DTv3v(TfR6+s+LE<ZL~
zB%ip)Qm9+u<n1I`#haa|^e{*7w&BN*#VH*&ws;&fjxiV|Qi62Nc_5JGI=OeFt+XY$
zKG$z3@ZO-;yFy}Z$9-byPuOcJ2oq8fB^oGp%jC|#n&hMAH0LM5x1=X)S?4S8k!PJ<
z%!h$bW`g%eS{ZW;7x$Y}k#_JTzO7YF84Dq*b1$>gY*m6~ZaWd`?{G87ENA<xFQjqK
zL>1aLiR%x4*`baNpO=O5F1@AWD748=wx?w^Q%~Hp6;8WzHj*Ba-MLzt8wVOns<zPR
z&eVfRy00#d9vJ_lh3z%LzY*DX=zINJ-{UQE4*(fJtCI&J5NW=B#%|8OE^GD`5w5Kg
zk@Q10<XYrpHRBv(lJm_`a&W`<OI72DsbGEsj`l*SrDyNF4>q9lAyvU%-!6h^qGl_R
z#>WH;4w4m@<kf8BvNh&+uSWBa47xy+y7*sBWvi`Tf%UujD5aNoDg>f{ar^FlLkQHT
zC6Gzrddbv~%%4<h-VnYGv|Ha;_EWhF@uoGic1uHc{=_Uq#gp_`{Rdn^4aQC65|Zn<
zbzgWJWT`uN+-Xqs!QQXuzkzuwH(ND6#5)PhzzdKmKj-?8T0N&;jKnZ@4GgsnxW9;g
z2X36$4ls59eEv;WZpEnrrKn>pau6m&uUrP4`6O854H-szf^VEoa3-R@?um%*t>433
zbtdneG89;!9_#@UW*-J>QpyG<goYZ2iYo5i|9(b!(w<7iD;DsF%y4#Z7Q_=!M(}`n
zE(lSsd;+4{=^7IQqR-#$^t>F4i<$sP*oo`&I+WhpbWMy0kB0c!MqYaV?T>Ao{aGH=
zD6X5iwiq)~5U$1dh4q(^Iyw*oFK;hpI*wUm85oq|wN{@ye(1Ij9kLhgR_d;Z7xDcg
zVuB)f3}Hww3iYO&?o0VK|FWC!R3>i^T9g-^H_L-vqDqfN6@#l_Wy1=NJyWox@C4WA
zJM=qmdp38$N`c}Io(L$}k>2Y;M~3h6iJ?jB_+p|Ob;!^Nn_JO&^)d(Pmk(57F7GMq
z>ix!dm#CV&OYY%!J~!JZ(jNuCw5R8fo-Wgra*CSRv@!)J^QF!yIRH6W?%1pzcfd`A
zE|I|{@|?C2qo?3c%89#!LXw&~)4GX6LL<2k%5dIvdYE`F);c<@Xjej9^DBzlNFjeL
zx4li3b4>N^EOzN0>$}V<bt!eaEmM9cY)DRK^55MtHH32STgx-jyk7UwkVo^sMI-YI
z3sRZ|v%QyCZwa(NPxgmCj)MZctM)-v;FeBS=v48tvIFd>KX<!1Yk6T;DL3|}fA2-1
zy~Igw<+}eOC%W}mhVy@(Mx$0{<r_44WS}2|0rE0I&^00G)R-p@{Uk5&4{$TJ-p-f*
zcUf|wK_&XnsU~HgZgl~T)&axD)|JS~8qHbvSONNP>h~IlmYkA#9VS+jnrmwL>H>nQ
z94DOFosM$6p6!@~kpQaxdxWHq9cXU<dd^LXeh}5|{@;(599}QX2sX;aaa7eSKyUr`
zG7$9?Xo~Kf=pVy>yvUY3q>TrA8G&axYxUrED)Fx(3QS9X+hY)Z*16gGI{bbBqZh%A
zZRK+C|0}16PCqlh>dK;o$a&SzKo4C_0S|Rtr+W`+w6LDvCCyc;O?3lrf;&d0+_Wja
zn7B2*R1@VX21Y3VzNYRK`leq05uGM~D5bgguh62<9$M{6cXl?OjH1r$zZJAfK{TF|
zIv4qs^N{0BXup_|E!(kwWxVhCC+8qbCw&^}l~#yhWo}?*<(Tm)n?mQ|!dwvkNZ7#X
zMX2AG4CecrZ4<`yjxH%dwU30+e%UO|el5Cj>`HlBuLa`u_L)bo>!Y$7K%E}%fQ`J9
z_Mqk<v7KHcw!jngKp<?Dgf=}tQzEB(SL>KOg32$QwSXfX>NRo6Y=tq_Ysx<^D+Saq
zJ7PAN!IR~bhhN%SDbCi?9A;9&hiL2;8nXlc8Eefx!G0|=FXDGH;2gZYh+pLda$nsd
zue%Ih-f_yf16rN4oBI|+?K5gILi1oQT}?x9g3v#pg6n8IA?M%wn3cUkR`p39P~ys|
zIftO09#{FEe{*oAnW^knf3&oSzXm+k$KN2u9AbA&+N+>rD|cXVNjb135oh&36(Kt*
z`LcmPneoq`l>KWMJfg2^S&oGE<N@Z)&wC-A+gmui9@IF2Zm`+R=_w!Th$+?xzpdey
zx|EBpl4<r+<HE+0O^fXGhthxetm;IkOdEC&PR1%ahzi#zxD)886>p&8?v$YMxO3|>
zZ2BqBk2MW`)%auhrDK|#|1(e*AC%S7V5WGES5@;Bj<qOdh)2MGoQ7g?(aGjtM#tzq
zav%ly@r?n`KoZtAwx6p6d!!7@KTQX|`>IzrMjkMDNUPc0j2J8660V&GO70aRQmWb<
zXfxI5$s$Sw-pc(d=IB-KEAff+4VE<e#SuG<!}qVt_?z0Wt~}t?Wg0OrAJWZ?LTmjx
ztq&t~<M|%Tg*-}Rv{$oY*Y#<Qz}Pel&>fa(aX{k5;+GETad*uBOTN`@Tr=7TA!?*S
z=N4u3GXBSG-kh`~ttQWG91uvfM1-3OlK2cucH@|TMS{jXxFZ(XI>0_d)-spkM_Y2o
zz%P|8Mm<9q&>Q}n&>9aP>-}!|oNO0Z<>_eU+u{$TsE7COYTrtBnHK93!p|R!T7K<{
zh1wJhSG&GJcYv9wzL|aADL>Wa7KD?7U+*e|swsd8-^=J7Xr(<wzOQP&ib!6BTAcXy
zti5a$xj$6K@6D(z4Ipi;oFuXOZ7g_F;=(H?S*6M)jRDSQP`KS=<<lgMrL0nAJ&{%J
zi>r5*zPAb(=d5HTF~J~#<2T8+F6HN>5q3&v*65|+&OF_iNj!C<tYUVnN=Sc?f{H<5
zCgf|BprrFN_09!pbD^ARXJLnc>-LICtdAPN0f>XL4tcMa30pdAgMU>#dOI$Gy49Wp
zg+6}CQJeXbm_v9~$k`(q(bxcAB6PMIu|7Y?)o@;Q!Fg(Sh)=1`XgH?0Y4KP-)b+Je
z{JX%zd)VrWZ<}Rmg~^L;VH(BE)|oRSWYhI;bz_psM)icM-;)?7G}TLC@qXcj8xtq*
zwR}RjZJUo?`THm~wzK62JYVGleD46luV43)Nq{+i#sObV(EG%+2MWaA9GJ@q?vGxn
zBlo?JKWb*;MRx{FAN2>GN##}(SSiAO#R_qAy>?E}9B?pD^iOt3v`Fv8jC^xmu@+eq
zDIVf82J$|s<(r|=w2vrOxvl*oXghOGLq(vrwYZl-vgUWgog$TFYuNr=n|+l0$WaK(
z<uKmw0nt~w@I2VCb2xf`o;43i2N$9Mwg2KMXGd8AAN-8@8SdZ#REjIK%+I)8^~`3u
z*{kS;)RXEi7tVWypX{tF{e-Ph;F8URDl*u$g^H<A_IVbg`g6H=4c)Z#ITxocr4$o(
ztZByR7eo+wJmi@bP)7Zf_1?bI8H`0QJ)A#s``Ms-oh?qkWyLu=U>wNW@RYZ&Zb^%S
z+|8nH*i{y0Ua+}=g%Pzk$(e$^C9Ms=ATsf{+f5kT+=bdwpN|@&jpz5q&ytyyKf&tV
zG*dZsVNVv$q2W&3AS%2DsXZ-`VdqyC(OWssVvL)5#dhryJ@Sx=qb{>rA9=#-F>&_t
z>@ePMM5>s!ENxasKgDCa?>dQ3XBHO`iyOJ_nuR;ecM~r<_PZX(pf}lw<D#YYmhui7
zmo$Q8aE%8ouC1XcWy|COWerxpa$qaoEV8zA|AV=2Ie4P|^XQb=N1+vi<gWs5<tY=-
z2HNp3Ec7`4eyfGx-?opWm-euE247s>vWNJ*J8rmj)~*bcrklIRuSnYCr={t-r}UMg
z{Fayq53laG{k?0$U|GI{tW2rQ9B546c2t5=E9Rb)imHvw$mU$t`*YN~df<OQmFd`C
zvx|ZBlemPR5`_xfX}}@()Q*8ZFrb7w#lT|8AkUR?;M0(+v+y#yAlvNxDwn&Q!D9yF
zb|R&u1a&>u7myLnlsx6RH`rG8$`t*$7K~>_LhUCG-rV($#IYm{B;WQLM?g1`)r|;N
zj;`Co|2gTP%FOo92xJm1dIB%Md_ho$#Y?Gy1*JN?^oHFjG?UN;cp`ae&%9-!nj^ib
zFW_OOWM_ypheymF_F{|AdVb`w0h-_*=B_olU6(3gNABU+hhMP`UvWlrsh@q3oZm_5
z?A@@2hWPKLy?MjJYl1wJZJ*j*viV!|KL=8+T$4e#(f8^0iF6kv&InmiGNO}v5f9q?
zH?7N*^;%9j<89H#YyLZ7Ya5@`tZ|QvLNijAxZG?}3H%&;TyO8e`<oG5B`rP7448Fy
zHWxAdnc=ln1?$srcZUl(^DAhvREl1Q9&(@fBm56%1c%2YX<ifttS4QIS(FmaF{`-I
z@-I6LF_ChYiF)zOMefUU{tEOD>YLKXZDI{Q=|Z6J3}#Zt84GPiqyou1SEx~E7B*0s
zPMMwY5$^FO8bj`HG{w(Xc}B~7?h|%%>%+~dc&WKE6DC0uHs-qG<)GIKZ=PBqo(J0t
zAe)W(00ZhprY@!4y}ce^xy8HS#4p{j!SlI@^EZYBj43M%l&IsQA9-6V*58uyn^h^a
z+e}@`o)wU5-&Gm;rD%vM99R#H0Az~mIU`~tm%Nh%_Kzl+$U08qB^85nilZa1>Iz+3
zk$cgFGI70!_jN{0GB4&tGsG;vG1=lkHedg$X(A^Y!_#0Sb|GK}w-Ip9Kc&>+`<T&R
z?v!r)j2bvnE*@a9Mm}>nUL0M#|L=n(R|g~IU*fkV9OF*horjT8p%tjgMk(QYCq!e%
z-0$_PI=gZ5cK?=Pczis%E`ER}^SDCr@H@AX-@)aUl!o^Gq9agURgN#<8p|-2ugL*j
z%NfBvK_&y47r`#4UK*rj!bsj*ZHt4nwd9{)jW%&{AsZi`bXG+#F3Z)jb1A>e{^Q)X
zi2R(WFiu}XrY)e%631rOilzNYf7*F0rG%qXC)p}kGI5MjH}<=VRdg^UzqI;wuMVYk
zI?+T*Umf|$*z;1TqjLKzlaDIQL%Ov-e49$SF*o<jn@cGK{|<`?cunk1VVT4PV`L-0
z3g=ksWK|Nw=gzT@UaN%Vears~jY;XG5uz*(=$;%Lig1lux$x&KE<1GZ{jAeVT*$#(
zrn_d$F?RP7rEMUVk$BG2!L^j$@Ge)zqf>2kiH5DkePsO`P*KE;97UWyeJZRn#=g_s
znsZPVhb_{0@zl~+!fJxhOKRA{u>Q_7!~dJ^p9B?Qr6<}Rj;^EYt66Wc2Xo)}q75U-
zS7N@bA5OH{U5PSM2g$?E&9t|e^VW0Vl+RM>)i)i}2l+leWnF?<&fs>b5APhQ9R*MG
z8PYWq6e@?hNi)SZaBDN*yK;RSO;d)eso)CSy^4QE_3gi6hVOkTp{DY`BKQZj<g6!G
zLtUuJDr+W>*rO0Q{okiKBUYH}iXIIZ^CG|fsb{`0i8Ph35&a?DYw=3w11Ut@jyq>v
zTKO*_Mn{((IGpemGGQ2_HmI<#fkodhN^?>cv;JKKWhgi`WQYD4a*N98F1!Hjv3@|d
zYeZY97JoMC|2%OyRO#Yx%;!NT_fkq}^6H(2Wq3ivibz;dT1;pTX_AEc?ub0|_NUOd
zPA<32W(o>Kg{Qu)?_Wl8B-vZuu&fm?_j~U~@T(As7{>MtenrWE5sB&p60v0~jrqQB
zDV~SH#R$Hg)Xu#PkL2%Edwq?}c+og2$(>oVENO*fANhV6zw<JAV&b^3{Zc!(1Y2w&
zo>F~l5t%x|2(rhRt~7dop-e&$y=CTR`VhEk$21hcR7hPO&^?5PgVfrgRhNzFP~Ek7
zrU>W+ibjN*qfI%hqb(@MNyQpg7vsw0W)~2uA-^HH(Hg3;u`!fvk$gJkGIX8m;)V_c
zueTDNp;nXEgFItBc>?_?Jody){d4t-uZw3#Ys+G`(^B6Y{g)g}3Qblc9Oc|TtKr+7
zAlePVU$?3|+89b>)^Ib9Ecyo7+%Fux>Lp9Du@~E_uGU1e=~LfFpJeal7B8~?8$QFZ
zY_Fl%4=SAJw`6PIS<?d7LRsUi!ed${9jUrh?TCLF7N=&OtKlGm&67WpfL<)m4RAij
zQ%7uz2?fThnnW7;$Om?{9BMk^xGiS6-#i)_-EZpPub`VjH?og@;G{6zf19o+=htT0
zr?8QyUH^2GLeQCe=#$|_1%fvN_czf`MdicRRP3h$TD-^x-|ZQ4sIQv{d|?f%QhG1Z
zp**O5iTRnbL||Mtq<-ycA8j>YFYr$z^P_ii?9FthqAiK+eLr160Rg!r!8dG}eGj>$
zl}s}=A;<l!4EOg<&*1)VBvk4|N?9lWz5f!J(dp!8VOWa*0_#EfB>;Z4b~P2PSrO{F
z?YO6-_;cR#ACCK&?XPYO2EJ~&2j@A$wj@##<2$K{a@A60q=jh*SF%18s-f$;WH)w7
z$Mj&`<ZmN5Fo+&KySi|z16aea1b?Ub$sEPVQ-z!H%{8XRsntG8Tm9D2gMjrR_!q_Z
zYYRAzW8G059iA9nWZl>>k!JO3K*LZIFT<e4XuOP6kI(ZeY-O&WI|9&J4nvW+1MF$6
zOJ!bMq8>YF11i*}*UbMRLj9|%vtIsWx$dr(UO%6@LK0ZO1ab*oI%7898DF>#5?Q80
zK8Amw*+!#fQil<*!iQobIf}u7zCnK@=cf{Fz7!LNJUpt+_p8nS;gy^9)3Hl=yI5`&
zkzI@%7b7<BZii#K*>T*;r7ND6RjAz9Vhmog{ZUNE98p5<pQF?S_iWj73*vjHY=q;<
z!mVF>`a1HKu~sh3hNh(W?Wn_}cBPb$yk}(woQE%onU!HnWxa^-+4C@fO`sFj{0J0h
z?|+Hp3QStr&GW(|e%StzK+QFQS~$STa*Y=gBOt7jo$vo{x@fxI6y?H;bW2pR3brT8
z|NQYmizAM4T$qXHVj1Ht`B9_h5&FHtYtJrU_@m?PW$)k9nVuDMVJiHb)mOgP<3B#o
zY&OeyqD&LWcH_qlga5x5K!L0(TF9Y_o9z929i=ITdIN8wNU7PMi^m{bk}v=(yAHdf
zDp0kpC?^Z6fNQ4lBb|7c0JfIim6+ud%-=FF2RG+cIBJ{UeM#XZ`Prmb8`kjeWrIfM
zSXN_GVy8>0n@+Py=Z=5n6>3T~N)N@z$e)}0->Z;B&z>5sesx3=oO%67w!fOvExS($
zu@gvwD4?6mjaS|_T};g`wq*SqMr(E-3~CGJpxbE4*CUfW{~u3Z6%<#~wTlIJ9o*er
zf&_OR+?^l;gA5J{4#9#u1a}SYPVnFk!QCxr&b(jMf2#Jy)LeA;Zd<+ABW>73J~qN~
z2vWM5<yNmnS^PK|+{c5WV5U?Cr;Aj?qT`dJ!=<u0S_IS1tvy{CbDZ=wLEU-@V$Vln
zyn(!oYMJ;MwJq1d*JOSsBe(z6s?@#xsflj_CE9uVuOc%>JA2w1joqWyq=%@gRr^J#
zouF7|?1cHsvr7_Cr_mwlcwiWO(=W;^s9&ucy)-54trEEtS@27H`+(BNShTc>iv$h+
zr%*##DY|)JmV>F_ZU$DP!&zgk46DCRt}A}SvApO{oZk-ohnJnrD0*E2#Qb7g0znsy
z;TWY;gH2((zS_4%=4FVE)pL78>_`PTQS;rx;y?xyd7w^9alzW{sjR7mn)&Z@IMo#A
zY43@gMmiLE<Kq%zW3<l#yc@cg13a?TzPXC;3~xVYMA>4BYY+DF-76O?JGORW&#eL*
zcx8m%!gkEnDml(>8f4#wID$wFPdm_A)RV@PGj@id(2r)_isOuvz;(baC$oDXy%b;0
z+SvGP1wf=4gi>TydB{LwRP<NK>eCEyPaXfCkPQ^UQrb?r4h=JhL&#l=lHg^U^N6Mb
zFwW;RQN3lZWW`B0P=VkKM>&HGs;OWIf7-U2E`-vpk3GC0e!uQ_nOg?9YqnTE*fjG^
zkffgzpGfDJF>h!p%{iIdph~@+bJk{%su=hJ?M2CN+$0W)Z$a%FajqKUi%ZQ-t<`}G
zp&fcL#T14G-x_R^Ol=*Ppa*O}r>#eOD52VqJn(QV`OCkVNTD0-njY<z^ia#rqU|Tl
zBxgs^s8!X|`fpX>5XKx&7`XS51Byj9Je9k&W<85t2H6T}+nF0FrLq5`K$P2-uJ8%k
z6+)2wR61wzb89=+U7l<Uz#U^^Eck<EpX$jj)?>|ZVh$s7B4c8~+<-ncg_bjICK+Nk
z;l<hNAws@-?r9M#;SzGtriv(2%+4#~+jB`2UOveZ%MQm)EG4$eb^QgG>&C_cT6~A#
zUhE`n&oX7=Zzya%1Jr~EVacu)*3;N5HhyTap<|ayV&);aRuSBJV$XAKG1AAh<r{b7
zJGNf%lrxFA=HfzC?ibycfECPA_3h$V5*R+i9O>+kpu!Enwt=q<TAIj$jOZH@st}IN
zMwXCWFFvKaI|e|Rcd>F-$3)4(nF7LhR^1Ul)bRBwen??m@P<$RKG7H0wbjbyDST<Q
z+M8<KaQ?Y?d41D{@{+`y7bhCJH6@(~EWHVvw)as?{5&S?GMIHpNBZVW-45qBSbLb^
z(c(P+%w&$gDO6FijtA*55n#YG%?n2_0g97gDs*o8o1bFTZd`ueFl?W7G#ohRqmD%C
z?Bw2Vt44ea+!85MhN#y+2!z$x<n9Mr?d`WGrWfGgsgq7Z6R4CXOF6>36l=TOTbS`e
zZQOghOyJH%<I#&+XCh#Z*hUp4Rnm6~#?CeZcbh`xo~^uEvOD=nCpV^#f-`9|Vk$Ak
z^!dIQJ{0GkS@-vl9iaotqL)y!*e8Fw$PIzWj5^!Yq3(B%3mt0=7C!aDCU!auZ72a6
zfP?k9o%@tMBCuAzb}8%9WF^^@NNuyZ0o?REoFurL5+GtG#`BY%9;6wa`&eW#aXEV8
zv8->#sEQlNDYot6oDKd6w;o>bqqswf4FpsuKWbj+I_c79A+UD&MPMIEifP}dwHo`?
zxwd65azR{=7=1xM{WA#XoJH>VbdbsaKsj$&icNrdX>l=fH+}0{d_oH}b)Onq(4<c>
z)=v%0O+?8+BFM0xMFRT(H}2s0ndysg0^Nc+=@}EoKXwEwADYxmrUsvc7hQDSTcgRU
zdiZ{X+JnsXo;*DjHD1>@Df45h<H~ghAKm*7x@HUSS^vUv$pbU0*vYX9A{+YAh3WO2
z+UKu*TV(N^#&&13_hJD?GB)mi*A^mEArEv@{%x9M+`h*t)?^VqO9bNifHAHnB}k|9
z{Q84?y=5!#<-9?GTF~<LMbuhqniy{cM;@pc8Zsz3MN{=!yVo|;-vk=ha`-YXN=JiY
zU(DFKENa_9;Ew--F4dQl6j?eA5n6I#_i+SDsD_J#)cJX?;a&z>rmva^Sf~c@5sT+s
zCPl(dKtv>-WjxZk;w-}xsQP4SQaw5*^lf@4^vI$eJDinuT5e;!CraG=S#zwOyZ3}1
zgi*E^U1bKm+B|Ebchf2NT8<M9ofETEbs^agA^qV0THOK)WBEZ+-AY&02F!FDyAYyJ
zz-(}%?e={Fs?ewE1}CX3gOU9GK)p?-{kA~dznDn*<JWZi!|&;pM(hG27?q5()&3kp
zIy0)eTLR@C@vgN1VRdr(cp8-@hU^B7H^pHvS*dyB;s&#QB3F8eOlvV~7_pLUTke?0
zM|uT$W6bc*CgB51qlSgV#w?DA{P9tlo1u$H?Gob+huyXzn|u~Doj}OJSHo$U7bbHy
zVzxOqdP?mj$aUx0D0qwDuIoEmU$QFzFC0bl<hzpOw_n{F!Jm|LpMjMB62>%@8q(~>
zBgGj-mx!;84ry~&Ki744%av|ec3^bV3Z;vjVOjmBTQ~0MlVj|KkQbV(ZjM^Vs5~`C
zxk+%}NiN)~ww7@75d*s}k|L>P4r1IlJjo(@!`%Bqy9M_@lO+_n<*)Iq)hW=kp0?Jk
zHT+mZaVD9y>uq_a?e-Es=$DIVY7)=!OsX!i?t&dj7}(ao8O?!}FZ`~2s=A8dQvR>q
zdDYrHsgQ*h_%!f;;}KHD`%6qyyf<$5HyF41jT-|;l7v^4I>iUTp4z{)Z`atMv2w!^
z&X$?VoE!5w3MDOsy0%)?CxF$)v1@#I7?G5ebfuOdciiy%ALP*u9I_Zo&$!|2OTpzc
z0Wce4zS3`op`{Oo3@v_rTt2M)TYUB7b+_(GuHIVQU)#hFF;`s4M4Ttu%oDpNcqYZU
zvQfF09Q9ROG*2etdHU3)7qhw51ta|ZSfP<TVloyYARwS`W>&g(ZtJ3X4O|RPmZTHP
z?2UcnMhf|k=7{mk-t*gxOP<H3z4S0+46-8r8U1nVeeKIj^9krcir-sMAHY6+d!QcW
z7iT^hy?iC@JB469#;1nE<5$N^fT@M*NR_>{RVn^~^ScmFE@_41BsJ&#aA!j<7(#1q
zWfd|xsk*qdbbRj%WyGH$YSM{uGAPn_(2j0W9V~9A+cg_iHHD0!n4k7=m}h+ljrY%)
zrxyfO?AzveuC3k|S(PQ|)~t0ate{H?bTX4O(kandWM`C|8AvXCEzi=Na3gHbA?1-T
z5#pJmVeuM6%Yo&59O-PNZfo7Nba(%0UUksUj-bkDJE@*Nh#8TTY$T6&L8jK)x@lhB
z)jHW{3v*W;$x~QxYL;(CX!i!Onn(-vZ7|UIQ73vAKskNeK&mRHkA*w+WW~Y9z?Ty$
z6vP*IB@4$RIrb`D&EujYu*Wl$fKn4<kG)e2Y<~St^ig{ADDTQxVt*`CBECXEQ1Cx#
z!rbvh9>D}9n2@LVG`y(X+6w_`AUz8SFIQqKf9)<Uv;@s0C1`Rv9lzTNYu}Vh1)`dC
z*C?be5?+DT#;XfidlX&GwWf^}K8#;^VDwf~$}WoJ>!+73`6-`f*Pe4dt!hxR2Fr~>
zyu-V%Wz`S0m#BS^6YW4GS|V|(dOTzee>JV7LOwYE^@aFOcET4MuQ+%B<t#VUc#E`t
z0d4t0&=vg|lo;j<N-S4>XSqa*r7jA$MazJY{JOx4`j78FX3b+EL^k!0Aqi#fIGGDw
zIEw5+DzEU@KAjstE|Jef#yIZ#EobIkXJ{;yZ3oWWP48m>ltm5=Z=M~hrE~ev_wQ1p
z=vMyEq61o*IhVPMOZ?jaUZ5-E{zeBj!`0an=D*uZ(aEM;6aRrVQm23x5Fqn&#a;_)
z_;DFSK*I^%%sfMY7F5*-1=$YU#r~%jaPOk{pCF=Sj#(4m6(8wL)g+E4O>&P*(YBra
zlL9szoceDFy_kgU&xE?;2)@@d$+OptjaTjlwNmLqP5%)BYj<{Z>ET^&d3pK&^ckXL
zw-+XV7fjLz6PrAHDFYsPdfs*fs>6G%vq3jiyoVs3#gX09VQl+Mr7YYd6_p8hX`B&m
z3&0eTw<yJQ?4mVK#@1<K3G^kuD@7KEVB^L&)=8xLwfKKBswO=5e6aQ{oS{MvF4l7>
z13@|XWaQ+oU~upI%y+YOMQ=OCm&nt~v=^v9lj(NGt(fS3(B~wnENe@kCx6P!CMP<7
zkJGD%EYCI69b@=c?XD2Rw*vZ&saRb=_@JvwB3*`QDYGlfcPXl(K?q$<$(kf~@=5ct
z6>}Xjwp=03$jHcl)rkUbHa9}OE=AC#j`)n<S4fHej?|hJY#0j|+Jq0&Rq|{IEIhSy
zi$Z#x2<uoR1Sy`(p)$vQu57F_@w&Ect&e4wlzSnWSeAt|Oiq!jizg=-LBjt8iLvRK
zd)m<`*G1*ttM|5EFZem2G`(*LXmvFzPT_L3m9sU$`7Pt&nj?NG%+ti-#Jm4oF2^(J
zg==oRtC}7!I;O(O={~_BpnS)dRZ6vC_Y`uHTTUd$d{O-;6Zr6R>-B{3V?U-*Gh5W6
zgBGqVGJ*mo3N}Iz@r2vudbP{ero;H1w2rQgO-@yXA2$qs{!~V{NlJ=O_e2t7k9$K!
zJL)G_ops3ei@0x>=}=7}lN7#eTY&q%&hHahmWAekt!a>vi20kGU4Yj3$2-3+3IMC~
zh&M6Ol~Ww0xTTO0<6j9E3UhMT*J0Kr?&Fs|V|yB+F`Rk&01kg+Kry{VR$tYv%8ikn
zW@7eypSD<nn!X!&;nwn`8vjH_un8z<=t^eQWN0CfWg(KYGqdtxQwU~L9I^Lnnse;c
z$A3p{{-0FytIMZBcNUpcAZ``q)OcJ&AYDh_XVYNij#-e=TUj%E(n(DDZ8wYJLPF&#
zgZ<X&J<078+1xR{-68LK7Q^2)`0!nVKOYIZpI-^PpZ1NG$sw#ovd6!QIDvdRL?{8q
zfa)m=O*u<T#jad3>k}iFA1C~Gj7*F4O0I4iAymCi0t2I?C~8wgf8T?8*BFm)u8NIl
zU$b09!$^$+mYaP(siv0%eV(1u;r1Y7F=>9)Ie85j{P9b<$;E!|hBnDzAlc-UuDE4@
zk1|X_{Y$7t<d9|1&!4;#w!CE1wEmB<V3*X*%lrOV*uWP@^*>LiySVmE)HwI)qn@=5
zZ<<``3c$ig2RKKE(2Aq>B6$tH`(!sWUm72^(<A>VK`ew#akc5l!0U4E_aQx(?Sm<p
zW<q<D;boiLRof=Y=XV<}6>9|xt(&zY{}5Ln^o6N;7ogaEN9<Wiph5%s0QT*Zs6;J9
z0PAWA>nqlDP$b&=`pM4L`|O<e_AqkIsVJezG3cG?trcA^kTMnX_u!RkXaPmfguL0n
zlEsma_RB)jQ%tc0D@hy9A~(1ZA<hnViikRQ<FfEnxM-;mxeLQU)0gXbY>#jCS2-=j
zflS3d#1*Parm$HmdG^h1uU-AQiS<;yH36dTnw<*k_4&nRGTiFd`Dx3mPVmOUQQfC(
z;Pbac3V8{R5X~ohHFChhkMYnDheAl<5A;D9vS-(CRP&&mMz#d=BN_c+bVk-7`JXVQ
z(b$|~+`(3Qln3g>QJH0)$2R4#9q8c|@D;V%1!Je7-F>Yh;T$c_1q-7UNi&Gj67?<y
zglsrgJ91#Q@LhUvcZ}<yH|(@UYyHCHc_(`~^ADfwx6dJ(J|!QUJo0}@rShj#(h5~n
zG5eMe6f?BvT6cE>^+9V(gKz@yn;-H1zQ5Sj!MvW<N`#$Tl)8<}kQP>F(SeXEIr0qM
zG}QX$2_ZdGZBASiSmCBUlUfyOY9<nF<70U>M&Fn4yLm@aIj_$BdPhYEzr3Adxr(A)
zshf2~Su9n`1m@{VtXd|U>ePmm!<C7me$QOSuh(!|^#o@w8%!tdlaENYtWCzFP+!@w
z^?kT{$M?RS!mk;)n&jN--)xmP?b3WvZW`gkQF-I?!NUt@DXoTGh?OUQa^cG4_ApS5
zOHRBO;@*=MBnHxOIwB4Wy+6PR8MwX9V9l;kypN{U?5-B2ZFyIJJW~Hj$$-9lTgS8w
z@zD;%yEQH0y-8=zOH{`R_9eiDA+sJIKo&B9jW~o&wFtI*cs}x8NJBL#5i4mfe=E|O
zgIT;+U)r|uXzptzLF8Yt>5j|aJ-HD_4QG*lqZYJ67nf2IjkB5HiU(Ze)PUQO>m=^D
zPkigD+}@xSLjZe;bx}`uqH}w5q>9@b`>F`mEOz}xxK?cOjYWFcQh!)2qrMxpO6>m4
z%FFo*``4@I6<u_RyE(f5b0)ra2ea5Qp5hSCD9=Lez^1vs2l_X3W}18&Z0O&Q6@aHp
z2VzzZp%vc0o{@rV;g6+oE*rulLoCBR&qIt?>-XGF?6c1uzp=;*J!ZQm%{5<CL)7^v
z2J5tWa0*b=hkmT)V_FBMiCf0xU`I2(Ngj925gbTH+C4sl$$jlV_m|D3*#BnA$@2K^
zX|x0Zu9_QD6go>~K4k4_2?P+M>%=v>+8=T#gRAjqcF;>J?;_?TUcui;lQ5eRO^<`V
zwmXX-2WkMI-iqlABsvBXayTIz(V2HA-1opGly78ZLBLyx%@}M7#V^U2d^{@(*q<=o
z;C4A|dT+~8q^%~!36Yo*rbHUUZ)eN_nURSkL`p8n90Gu}f#0_(Ru$s~WR>fSYY+nT
zj8btpLwa^JxHVJcHA^9^uhCR}>KBv0A3<lBqTX>UixQ*IW<0^amPtKZ7vj?Et84Er
z1c>F)5LMiYh%ZoxRm>4g=t~;H{AmEdGY+%COfAA8&G8Enc{`LMO*e7IO5TT%eBP)$
zeVg6am|-pcl0<g@7jgFlfN#3iY(j7HK{`?Q*v>iF>PY4a6l4!$i~#2qM+hC-=OXy6
zYVn)bxeKIEolgdw;FP}Vq$RqgdBi5(c`s7*3X|EFJ72MVL35zLD%&+tRBVz>u*APn
z90Y{GQ=;6^U3@RpmOieOlmH%_YDF(d`{(|OTYu7+`0)HOdm2#!Gp{LMKMJDo*X_o}
zr|iKh;b)2wuM7CYO2EIzh=_C!sn<nL@i2>)=iYJk4$5J7{gPtcjozivA0$PLNsQXJ
zD$5YJ6R^(H><i4-5!{$_Y&+NiC-$rN8C(JQ-1TD;O69o{7m<=pH9Sq=$SDIwu{42S
z$n{^YG9UB);sb2{Yf8cJ2|Zf&5m$2~bQ400o~%C}lVBX=buojT_hZ~?JH4@c*2p|t
ziL<S@jjgvw->{Og62$c6qMt4%+EO@5Kt4J8E`Pj|*RsP#<3T_>_mp(F56rr-DU8CG
zto^nHqDBD=jknLc8_bNKj#Cn=Pp$u}J(JAMh`7X;5-Gfj7KK%;Hl>^W^N4y~9I-7m
zSO^1r=pFQ?`P}J!zYPPe*}?4g!@OTXiJODfyg#Zkd+ASJo3HqYVX~vV%<=U%(`2F8
zR|dhkIe(y|zC?yq>L^4wFj>uETq;z$fH)xY%wV#R(7Nfe0cJu^x)1>94g5H30+Bmp
zFNjbwhBvzNuUf|R*`P3(#>hYyvpOO5MIHzDiO4eXb6vIXgn9wxFnvBt=r=fRN#78a
z!QztkBj^Ik!k22wIB5(tPAg1I?QEO3!;y0iMsg32h6MYSvU+n2@OHet+N6TG%EZgs
zxrE`A<b5{;M0k&VLR|ULl}eZ`b(2N~RF)}`5Wk|@!yd=Z;|T_XxJ3=&?4pq=$=IRu
zetq>q_h5{1BmR{oAJaTjMub;Dbxfq8kc-KOp|}x)7XnxKORKh0&Jg`;1Ty@`{%zd!
z2(n9xiTZ_~^@4YOVS|;;`IsTA0{2EsMp<tR@}EYx%#AU3dD2A;7DxXUacR#cPA9Zv
z^!`GbfqYF$>3#aPTZ+YLZt%-&^V$A>K$DSAC-O$?g!|jPhsHO9EbH+A)Q}rD?Fi;#
z4FH3|DL}{sHUcdi$&QSYLUmgn4ozH!Y~}Bl7ObnE5$<<>6vF{n9U++ECPcfr(Tda3
zBR?Hql#hRwcN#W3*FiE=i`t+&aro#;g`0}!W-6D2Gx{590cZ^wFNpM%*){}lnJui3
z2>0dc03N|2G%asE__FQj39~&nq{i-Wd?>zyGKDejBzUc)9ou-rnYLpx6y#9J>|4nz
z3ZoyvEiP)Z(-k6ok;mrRtOAX#IN`8$xwLU`y`I}X;?G^;otrSJ=QJup{Y>GG?lB$c
zNi|`mp3mOf2gomlYR5{-IUFi`wI_wKfvZPG@#2Ee8KV)OWi2rIq2iS>3>F6EP$;+B
z^>7B=i!x{TeVciz<WMM&vtEsi?j6BodZ_L+f9bUU)&$)@JkHT#9pVbw**)HXt%>ab
zpRrs^)C4APW&#B@RLdvLTi7eT>dLJcq^o(QOqfxKym#O5I^Q>$OIR^&y|~Zrw>vnD
z*AU_5TMf;dIzQppSgc|CzTt?x;TSK4*sLiC$pd7O3y`BBUl)8~k*J}|{ZE?N`T*YA
zzPqWawGy$*ngVd6^sb@LyA$9WFt-PcU)l~>2i)jqgI`~-;I{lO@gLRF{(!0f^fs|Y
zdWV6#WI9cQc}crWDc|}4fnG4<uHV6NOlozg(u1xrq_7MoNM^pi!Fsu?Qqx{B=Ur|R
zGMR?ld?_a}{dA?VX%5nSsw1n|Rsj0HE88Ce|4qVYv*Vt*Tw3xS4J6g#z|RW4y2S~h
z;)FR4x*{MVPG9z3`!9Pwz}pijBM)ZNB1>nhlnQkTjf}S-{ynVS9BegvwXKYT8oAs*
zyFv3V+Br+AXBcvR=oK+>oOt{es_70nBeB#7b*QwRUP2?3TY;g42BFp42y44{IAerA
zdqY0~s&T6I^lJ$f5&<=*`D>*8r+4Nbo!|8{=eONu6k}HWqvmdTKgs-^)T`NUDsB0F
zpEH(tJ@%%75?x`wT6%M;P{R(JX`MO7r|Jwe!kuz`^bT_AagSMhBwF5D9cnrUaWTNu
zd1w<;Z9TAj@5WF7V@~05!KC`{M)@Nf>hcFfGw=|Xf9Lw<`fmm&7#wHzwvO5TdM3aS
zK*>C9BA)G1>Eb|I#yEx{_YwUqeceU*I|ENqoERoLbP}UnP;g#VQ&RkyvX3GCxVD@X
zb4yy{o&$#M!-Fzuh2naX0I4<uu42n^Xtwr@o3alP+@D|$qd$m?iVpVT{f)@m>Kj*A
z<GS$C;D`EI?;X}b6~y#x6;)6wvONtu-mncuJWqqrw)a~X-s{lX2(k>4pr_~WYkvh0
zi>S`39bB9IC`s}S&P-Zo98D}*(D5rA;~a23bNO#<+T-=vJ9f;BprF>9%dA<J>-_D1
zo9g$G%mWyLbN^X@6bvJg<Lkb9{MEt6hxQHF2L_`n<2Mvwd6#V!4E47b<6_TDk<YsQ
z>`vMB{WnRWyVjm@$3yt)DrBz*L=V?@n^Y~2m3M_Yp*A8lXhpL&qoeat0((n)2C(J?
zgMX9Oki6fZp09-_P8f(8UN}XsECH}>YQ&#fSOyByu|5H0g+#?ZBnrRp>$&XQwlEY+
zI*}4LDnjrqL#}7I${MuAy2L=Vy(3{zpR$}n;rB;UEO2{sJ@4jl+0uC7m%@Chy@nf}
z7#sQ1Q-yjd7)kt{&%T(fx!X%Ub@5BN8{E0L_Ok>&DRrt2(v}cS0}~;p+e{Ld=aQ>X
z>{k7-zXOz_gIQi_-Z!hN9s$z;@^U}8ej(8`RV~CrGCLyoY;~;b$=dZ^$7!d5(Lmgy
zmae#8nPZv_C&SS16#kfY4}%y1NY<EQhGM_#qjlWBJ4Q-#zV-fhYt}b*C)pB>NMvk8
zq^aa4cz)V3VH(cSwq6hJk?R%e!22Qc*O2M+0WWf{#X$NIK&7~=_Boq5LmtET<{0LB
zmE7XEWDk`jB77<HX7p>ntuJ3GC6KS@?~RVUotw{UFwrAm=DN_oS+KY*yr({(D{(dv
z8Vyi8MQ=ZD3Jr?v{av;5Y>;%yRXOp@LXn9zo0C~FpSLP|IuTD%Zz@+@)Zw-c1kih*
zUNFDEJYv>$bj9b)2#MtqRy-Iz88vu@Wyy%+c_@t^#Pr)47x|FE#lY_N!Ni^aiT~pN
z^+{w{;(aG}Hf2zty@CxTOTTBzNYh7kq_$nXNmYUah&}w*Y^x`JNkV^n)N$$ewOB*0
zO8X_#O~%Y^W4U_Du9Uei_lTS8w=WOHV*XEU8+>=5BO?<T=J5=&@G2K2(wK3J^a9Qd
zmA@dkkV<o8YV0ADK=31a&%Xm4kuDTZMk`tKCdwF{p9{Lk2`S8B8U@-FBtOfIhGvEw
z!d~JruUYfRw*}4GOhw`si&*6ewOGrxAPEFbwel)yD0!-gau$oSwiTk(2=6Bww4Lwo
zWGxRay^o?}ZDmc3AE;Q#XU0>Fm5RxLn8()!l7WSil$wcuzI3~OW%Tr2CWR>15-h!_
z9rqQ{j=^M-O(7PN%dII?sd?tSnG%G!$6--SUL#2e1+NiXI0~_ye4@tvpoXkHWsd^d
z*8}D1nkE^jM8zC8>~yIiwLH{pf4mfznfAJ3&0Cw!L!2pNO}H<LI)~6N_+aB*^ChH?
zQk?*n_He?m6%r9HMTJJbJY9&X3@^=G-Z$nxssA4rK)cICWMK}J(p`3$C^}^2N(~14
z$80!%-Fk|cF31xToh*tk={93PEx8c{oO74)fX=!(+#FU*;zlorM4%e1!bj}<c*nK1
zI=0lj{8>X7`-KYDl=3<gmWP7)Bl;r}=2ic;-lr#OX#PR)dbYZHmez@dee&6%{9{S*
zyldN*j8gJUnYBDl9*6vNX@OuDh7>Z{^y1&ec#6L3mfzPO6}&w&bn#ur6DV2K|Iw{R
zw7deieG;%>mb|>KucZDMN%%%meNzr#CWf~ta_Cm%Opd`AmLK>%s(!E_93a-CrfY=$
z)P+g=+S2oc{qy(m<{}}&_tk*ofoRZ>IE0kliRcg6af^cb5BJ<aW#I~T;6v`FKYQ{s
z+=d#FvmM%(y8(G`?`9amtKd~VWj%!A&n7|bi7M2MnWalh<3LmOkspyj=%;ZoSO24g
z(9m_Z#r)-ADT**mT=IF_jb?l?Wj-kSE)V-DO8(n?D|VX`Gmt60Ak>6|6~-yH+4W@;
z_ma|-O3_=Ek-=ot|Gw~4k1=4(z=><s>ImYow$P%gn3vuDCTQ_%P<SL>JbULMgx>k$
z0zPKnlM|nm!|4`RjR-Y}`R1<8!fn1HrT~-c;?cF)?W*fhtsb*L&Lo9~jbC#xpQR~o
z0_y6wmnE7XXA&VfnnW(%roZbF7#J7G*~ODUG5)Sl%#?Q*ZFld}jYTbn!xyj3K&9!d
zqKjG7f`e*16YkNm`w}_R_qZi7;7{;fuJSaL2E>w)s-WFi-}iZ#tD25!M2X(P?F8f)
z-6uS9{e=4EY0fGpV(kf@sW@ssu2DurXJ_iP?7T2i9<mIXGQziUw*-zE#l?<(4!!J>
z7<fx+yD|M>sJ92gnE%trEFYu+FQ1ThA*&KvN{X}Znn>3N?cD(yx4N#4as1>_o_p9K
z5~H^%M}^=~qQe3@<t3Of+DNzOE3V<+myfP5e~`^GYPhJTY>opKQA`)qO+qbZkD-eV
zQD=B>Z%qi?wQ0izE%Uz)oq=w*YAyPv<>yQwJy5-|n!SrSquZSNTInwuf$^S)?`j6D
z@UR}DloRJW)0^VMz>bhtdgA1o7?;4B@k-KHf%{YRlA7#Mz#cc%J>RX(SBZcZe7`k8
zs@~qV*7+#U-E%ZJF4vYH%S=hOWSYtQia6b;(p;4P^^a)Nn*2yZ^3CK_p?&8!fjP}H
z#6q!fl*%bJ$PMrm_*WH>?M|ka2Hj@S-!7P<YqT}0F%-^Y9EGd2l*BSQ=x+s(Vfz4g
z96UB5Xi>CEf(fZX0GRNNYk@$IOH6U0_TJm25inWAyiTBz^aj<E5B*zuc{hSi;Rh%|
z(~V(TIwfgl!N_Zx>QBMx%b(-jPjk-%Y?EjQdSWc%vi3%rnV-EC4O3_!;}#?{1bo6I
z=&mn)um|HXxu@EJ*@lOF6_XA`nn(5_n(>k=rN=__)AKds<}jbK=~~_SMh1kz0WBdO
zIy#{m#ha+9MqYs$FfmcVy)0@e`y)!X8u+Y4vi_cIXcat9QeqrS+2~K%_3UW7+sIpi
zrI8JL)nX3+ZW-g6qbka@?O>ASKmT;0kyGlP>bJn(jm4VcrieqOk7Daj-1-qh4Z=x3
z_$*V3ICii2dCP-1$O#;zwdTJhjgI6Zk-bfXlq0Glz)pO^Ku5s-%fBfm&>!03{G`Gt
z<9Y2CIL*_>p+C^mDD8T;M8qZJ&$4H;(_E_g{IlvNBl6^u1M$8<ow07WsCGvo=S!%r
z9Kq1|kC1olM>WbFXoA$JgH~hIo+gVSUfZh*<k0`wDAzqM<QSLn7TM_I1{*#*P+lwm
zpP3OWb@tl{;EpFnBz%kVM3GXu=7QIJ`Eob*Bd`Dd%K7UggU?2Il<o-;jv)}QBUXCF
zJoz@WfWHf)L?<NEix_=MnD7+Yg|e!ygI9_sv_Vbdxk_kAixlOf&Us>^J@r_rs!aV4
zI`!h@t0*1i2ao|F-1bf>mR+mBaf)*;2Rn*#ijkadi8X3OR_Cfs5{Eo;kWk$9<~G^-
z&8@p$u?T?;OHJ_1_(0<A@7V0)5#C_d*g!E*dA-pp<KFmSU}=QkNU4w+BG^Qb@>A2l
z<iK);{^UEJdAe2e-vEc%(J&fe2j>iHev4ntjEcctShfnG7+d$VuSx?=^ckL1oV9Xl
zvQZPcKaClZZ?$B14E^qz*^}K4j;G9pP5i-~{Y(8qU#2=&?c{YVNo(gkViJo}xx)^g
zxq%e}(Ypv(C5~KcT;TA(DK=TM0M?tJYLmZFC$7|d=(`9C<59ESmSn*;SjZmW$In6M
z7PX$jlI+rVC{<~5@%*v>5DRkwS&{J-UKtJAfr)h9kK1r>&Pc{2*1~*n2=G=?*W*Ky
zO=UB>A6UuSnaCW9y`8gYIQ3lr%zt3FS#mc~AwtWZS~`Nfy_T0WTtWedxtre}Rm?HY
zcn17oJq(=8Ey9QTh&Z<6$jx&=#83P*smvOS?1<IK1wTC_X^c7I0}a)XS4=lVGHH}D
z`6_uDU{<fe;BL7@Is)?fV_o$$SEUjK^AOEpu9Yq|E=YNtP!^ZaVdO4=GP`OU;yE@*
z_05G^rcZG8Jz+&~yyjp*0Ql)D*nie0-{Hl_?nbpHd2Z?%Xe!RA8*R`U2~azPb-n;s
zr+ZTBX7%ymBxW)ZL&E2VzkARY(ZojUL_*lixs`?UO8tIy!c|m4a^C1Ois4^Rlxh9#
zotU-IP@<Cv-bbe4WQ?P-WnA5J4Rx6ot*;<MW(R*fa1KLtN=XBVXN$JRWm-sMd};Cz
zLX4X;>QpPgGoUl;<@U7ek1Uh=t~ONF(WfGwG4&VpPuUPqqbetFnZ#2^eF#3QDEuYb
zVGhF<ejW#p2KSR+{#Wr(>i(}X4)-1&MpovRaqCE=VYVvE@MxXnwN4V76y$L}X#R_|
zsTwPkIgf_j!JH{xR@Hb)_}~;E*$<OOJxZ(`|5Zth*9rLYb(hOK&Qcr3e`~ncCcS3q
zPcZF)Z<jC9kNbjIUE7c89D2}B&AuHw$MEIBX=e^D9<F5uag9AFZ)>`TD?w(A@t_Cx
zcw0yP3ApsYsZ>KxXbSvvpPUrnY4W;C6z=V6x%>7J?REPjn#xb}(lz(%*y)GsRer3R
z6hnKmA@8>lqQ5^QG~3z2l=OZ*DqG}v8Xxl&AhhbsM)LNvu%i?=Xz!;dJKfMgo}O3D
zoYS;zt|CjA)Huh5kq(djV0X{t{pf8JmOdpCCZHZ_D{Z~?5eNRb3OhCYJ3MamH%ttT
zl1w%d@6Fj;`$PGabuZlyQyB9Jscf(eN-etSD!;q6rk8l}d{JgQDLSuQ&QAf0^i`Rr
zfl%sk*C}oz*}4W&*>XV6QP6d|jgj|-EmqI<3Pp40-JN3l8Q#jbu<gZ~i0MmVA#n^a
zJ~-xuBR5?LS}**%xafd|RtasCZM&~Nh!p;((?kfs)!0-AnYscR{7AtpwH%=(-Ksv%
z^#TBgEa5}sT?AJ+A%!m(Q`QLC<A@XR<)|D@Ow$UuK|We!8FwGO1ILFQx`*S{Xl10t
z>X~i0`{y*$RSbApwnYJ!x#Hg^`G{4XneT(sg-YJWWBRu2(B~3WM?M=Cn0}C6^~Yu~
zCmdIARc=9NYEE4v_+f^jr(w}1kh^i)mrC9JmfyQ1u{K(ViYp?DaaGzvOO`7mWbEz)
z^17PT3-@+D`jbg}#U<C>k0)hDRnbl$D+x84$SJj$z+v2X*N<Ul+{o%T2ZjPmHCR?1
zNNY|<=P?%?UH7lKb-NF2nZ$@Se@XcMHk6d%zDub?ff+zkf2`X_?Q~}xEc`G%os}Y%
z?Hm&`frOwh=R73FdE9blL>(dkcIZDb?W*=#nuBgbWU3=7P_0JShU!c%Hk?J`r{0Q9
zT^RmfdI!eM&p&pmm?E$AT-2{c4)uk_yPq>KsrKfGW>HIjVwe6zm;P}_d!m!P!Op1!
zwigzDQ#xl;P484C1SHZ05SY>T7bL@I(-xE{D0Aw`gSA&GWxRdu*ci-z?%1QM?CjI&
zBx-f!$=OLokA35DZV54K-=<2B_&Zw2U!vKb%<6+zv>8>ulibcy7+QuwXI0Kkmp#x7
zlQn~=BK#qvHnsH5#*KqCW+Wtksdhl)G;^;^QBGgw7m$V||KLkQtWp{L5%8;f(5?Z=
z0(!V?2EOtR+(2%KV*qJVcQmK?#>gBz8Y2?XUqw14L5Vb5P)1hcly$(=J6&*yP0zVz
z6xpXIaW)fsE$$LgrE+bA;)rpFTs1@Ac9mpXqpw2<QXIW3j6I}@H5MzWovQmsCkuz|
z0Ir~qrLdb4Q3=QZIq8&{5}f@>q3yc!Ml<2|KHAC=2hB*7&m@HyavdqbqsLnN9tLSc
z8cB|@*qyi*IsipMEBjiN2CXO5+?cXZCW_58Uo$jLv5&pAVhceoyvyk3F}sJ1D5BJL
z+I7lkQcBZRowN=7p#Bd|$&ATo9dj~p5as%IN%+s4?!?3(uKB%>gvQZUIbv^h6-2S#
z_hsK&8;#bZ!$h|z|9aa@%i_9reyJPORKc#+MfwyreYZ6N-1o*U+%^1-w|~80Rie-|
zRhgB&gjh%sV#xf<A1|Ewn`1O}(xu@_wAy%fueG*pky0C93x2ArPoD^Do)v1GmxM8m
zD3<ve`U@T<=hoRDB5{fSGn(E!3WiTn1ovO%KnmqL#GRk|KZr*3&3eGjzw(t%DIfWO
z3TaUzSk$+*)_nE1Zk<|FKjAXgg=HN`e~AefMp2!4nytdO;r4%!Lt63^NF`E!{X?Zj
zu6`jyH#6F-`(?&-h_zITu-6A_AD}~H2u*MYX4UhlhW?kKYod_V^(7`Z8_^gC0vt#@
z*#;F8O{`hs_Px56=n&;(Z1+8juujL3xhvg02>%?hZCrXg4hjq`xj?R7yF(<zBY9U)
zJKKG6hB)?n=j0__J;)H1k1Niyu7_tBg1MRVNc<hJPYbxkGLSV>Yzzo}bHlpFuguB&
zTu;sRQx<C0ZKy(4v`P}&;VJXh9=Yp+mbN;2p?BXQHfR;EqzyEBN9J^!`Icp<&6k{$
z)ysXcpUbiVaeYQ_>U4he?N&_9yc3okP26W2?_ah9vr|P%x5g>A2v?{3NxkJ{mG|=0
zf+Np@3%+8Lq1a)gAGH#SH23mgM}~gFhON~1F>dg6jim0ePbqH!oTU3u$oJ!Uv&l`f
zI+>n-QPWSp$t++?O3V^9B*#o~dDdNn9?i(shMl*Dr>Ee-GrY}dY8V$xtgepZL%eI4
z1^1|1-J~?-+!uVuh1$UGP7>8xUk02Ste3i!7OAZ45Bm$Zx_~=5**2-)hdKg)#y2fb
z)0SYamHH?dX7miZH382TbR-MpwVHsh;0x{O2rBrYb}aMeuv0wB4wG=_>5zf1*S$lB
z&YrF$;Lcm7{<K`mT|E~=@6##NM?EqlTFP3J+il*ULVIHwrwsCOS^4h2zYD5gS=ZFO
zgM-Me{&*=H)4Uk@aOPKZiX>`{AFpW(vn<HEgT{_WoYsb$^5Ny#62P$0+&RDb+qoLi
z+%yd6zxd+p)NYB7_%`<kaNNm1@9k@&iy`Q$aBhuvWZQ7V%2<45&$C!>Qr;ZK@2W`B
zUW&iSS7zrs@(Y=X$zKx0iMGcqdjd7<__eU1HG_6X6T<wk;E;P9dq0gbL0*zaAISXg
z!?*+YZR<r=)-JcRUc?Zh>E8z^b1j=AzfK|dybr07G#a2Q0(KcCdV2FVP?X1e*Dq|q
z5l#UKr!A|CLTX%BABIgz?>unJBW80h+O^88d^1XZsigf6^~<nBO<^Ao-W6J=6gtu;
zBho}3xgSrL<EsXxR2Q&gsq1=sw2zrd<u|qxj*wX?3J$p89KW%D0@PfcVUXq?rsPKG
z5V;D-;+5EFl*{rzZ<?p)R5~a57C?CpiYq;v;`X=ds>ZKRIWRe)AqKiQy+@P3B0~Zv
z;jycw{SP0Qo&Qz&3NuCFu?dZIJaS&;aV{>OtRAg>nh1)9#0=abm!3R%!Uzizkm+>&
z{*bba;7w-k=#+o?u~;W;KINK>u(+{3NUuvPtE@6^P$gG$Xtti%3QUId295VlMt?5~
z>DfBkOBh}EDNAg4?#-`ru!QDVu@${sNZe*}cZjZyk-@oNM_^5tPkSL7vww;$PZ@LV
z(N7qf4CTz!K+uc8l11kd=lCK{3Ph3$6GNLeyuj5h{XY1;kdG<PFiLc~-~4}^xd#o*
z@nb5W7@*>=3oC&mY&iKRS7pIguFguIpQ<`JdxQ_K>id(7#6_paLEU^K%mtb$GR*Bo
zk>Nq#8y0RDc=+f~TE*+!uKc$~qF*SwAHlIg7k#r!_Z2Nt!q(NHk}6%*lH{uuRgK@M
zE~k@%E3ZjrC=zVL`cS81J}`*2@Oi_KZ=4L)PzcImXd}>!|3^m1JnK}<rLfQh)eh8w
zpwYfy>Ha!n^h5W{XN>WOZ%HSr?|g#(C+WI*Wmy_-8SNHsJ9nP=AC|p@omD#%lXM|7
z-juqe>eei2f;o}j%49Hj!jw~za8eI_mQVb=og0SL?O45YB#EV;R+KAh*&J|>XGERV
zU^NP;OYGCH!pi}=p}oF(VTpRE=crn{qCrFOovj1E&wt~jRuJh3LK4DrYcB+$1_~jb
zJ6gFYMvTP_#O<+JT=P1zBag0*XFtA>S(3}w?JY<Ri85Cg9oSJ3SiLn=>+Z2AO9079
zl&PT5(spKS;0ULfh2BD#PK|U#;XH{Ur{j(Fyns&4)W;0#BX~yxLjNuKmbIZnFMu%)
zl_FHG9s21SZgi)*>BJ}_dP|nzpN13KdD7CHxWk(gImjr1^Mz~#*7-qd9pH0h9cq*L
z9WtIQ;G5=CqTm-|F|6Url$Byrj;z>(!qU|DJ#_y?{6UT)7r+p?OBF!SWm{U@l8NSH
zSU4OWrT#wrIbqX?DfA)y^9T51D`TG!4}%gFS2A;R`M(o!Xj`1f%5EXA$u+oI+ch;;
z0wEQYf(gW7Gcv}>rOBfWReUlR_uzoD-JwxjiR_v`f5+Hi5#t2qdoU=5zTdQ#Gn_24
zA~Qe{6O-<KG$Zu2LXP$g=lu`(s@5)sH0AgAzU}K6!y_S*#mz;<<JN3lJQpwGav>Dr
zKb!iyqUlqk^kfX|Z9rMY54x>TcjmTzo?=m}HuO~T!h?iALzBA0UVaszUtYom=0SQc
zu)DCJTOJ(>PGHN~4}5uy#%}G(TWp3Ex4ixz{Z>DO;unrRxQH>X`Y%Y3q6y+?iBfmr
zpU97dbM}1a^!$dFk3khj-^<|llqK@#%a6<+(6EnxI#T!3=aR{KJGVqj_LvDjr7t-N
zb9>lnOSzcOV#x9S4@Nzq5yP{{B;yU+Zs&OJqR3q}__J~=yeVSPYg^b4{C1|!k<=Q^
z+XBg-9~F=>rFzr7+_zA<-g8*1z$%;&(O_W=g~3YmE+E=|0%3KT)>_}T2eQPc%@7nZ
zvTVtC<8Ny;+zS{pcq}2!HL!V`u3nSwa+t2S_uiQYMGBjzJ~ygq#z-^U9Ja`GI~seP
zW@2moFfXp;+TV2u(5x8Qh3S~WHCt}sqIj4&_f#J5<I!DcW$sF62r^}GNs??KMJJJN
z>JsTM)MaTuKe;W!K(u1>nhgoW;=HT|e`y|eJ+o6I`BhyvUouh1GS%cQ8Ac&F`m^=q
z1Cy%tv*FRKPi1n&JXO9nuL&UoPP<cBnrF~xS%hh=o{zM4c`XD%iuswRTyaLb0xeH<
zTxUVZI(gyro{J3gYGnh4ahyL;G)ua5K=+jQwxOQvATy-;q!#yBYs?cjL>A3|UonU@
zi2`b|Es~>levV$E0EFOblRL28?T;Yt7Fv}>eIuNIhTIllhScw@gL<|`Hoe0*FV(NB
zv4|ARgH|{y613}+BwS4J4|BiC(V|W0AJ=oYF*4}VwRdHmNu&%|jG*~@;%*;TbA)G1
zR*p-W=*5X+&zmpMn`~F`EbKzY<+`d+w)Q^U_cek@bJUOqwy`Y$JL49SKh0y2U_-#Z
zFqPtORMMZA@46<Y9cq#RR0s(17W8QTHiEr#9pq4x^1Gk=Kb}eZoAG|{O)glo^z^lo
zg+tAGdK9}^lylTUT-F9Y7oI|7JI6WvrY6-_EhFg0=nW~dIHbp{qPyhC1{8R3DM%SV
z3`YhDrOHR#Eb%^d_9o@P)Ec|j@lzCRUFy|fp1jp|hV~a_HzU~6q!e6Fj!%m0%-*Vw
z*d!B-aPJ5WbA~bgoeH6+2uH79U~iFhMh&2IKvs%vNa@2KY{3McAyY+dUw<%NG2AT<
zKr%`~2_K+_UMbQAmb$EEX8A5smemOv5rBdX)&XKo)S~xUW4s?=@DZ(sM!k-U%rK=8
zW>6)>k)-@!N<{2a{9%SBbP5*}>oL2`Q1|9{X_6>wT?fo|NLvsdn!^FHa>YsK3;}z3
zDCOW5&}>(5X4<13bsfVEuTQ5)@a*ZhyTMx^r7IZ}kM^g}-Ht63rl=B@sx*=@>^~!K
z7#Jg*<Gp<@Cc4LV3o}%O`NQ4rAC$)6*x6`jWydpyq;}8O?t1cE6Ro8xqO}j=s)>_a
zScp>KwCkTaH6xVH9f$hHBL~B9$^&Km!@M}Y{yHg5NM+IWInW8$8k*?jkUj{lv~y;C
z`{gTLtBQb>$Y0~9?EmH)+%<7v<6%Q0pTW{YU&Nw;02J(n4BAu_GCF)Ma{;auEkTXo
zpU@bS=wJuPF0RQW%)o=5SaoBU#1n>0@<>mTsr#geWm*#B_*K66aCP1YdR12^Q>dJ0
z`pau17Caey%98x;vly+DMLe=7syL&FyVvIPDfzlc5KRl{hS}`SNFGiN9Y>-kbOAzd
zM^tbrn!ei5$|3_bjApj83+3-4Ds*fz0khqbo<T=HZf9o<E{b?%R#f00+Mdx;{v)3f
zNf#P!Ae{}W5A&tMC~v?iWFO_Pb4yka>VzeFx7ffRk044lVVW6OyBaBlZ!Tr%Ro7Fv
zlb4Zhbj5qT)aJJ^cz$7eE%2f(yOw@D!;6cAa)p|K1v#@p_C5udz@)fYzhW%X7-g&Z
z;_)fcw`Co!o0kT;!p<72oDc)F^;`yIS*(6Hjh+&!MEi`-Y-XDlG(n81-VGhYjvXj9
zF8B3aU18VW#(rBVx$@$lBDBmmw5mA9xQU~ku}iKx<FZu}vJ7=MRaP$_VT<5TgfK;>
z@bSLHwUolf4RF9M!rBprKDSp(Z5{j><NIt#jtHwf2&f})hAeseeC&TO3(3hLS82G_
zO{|(P{t<Nr30O=ijnl-m2yqogXF+wq3u;P%Qs9R5FN*fNZ4A6)b1c@3b{-5u3(F#Y
z-B5qZUZP2Ao@X+pH>uVZp=9XowYWx>Ztg!EhBaNqNsp0V-rSth!=Il9tNaI_s^%8Q
zwm4X!;~yIrcYf0&8iHj?NVPF|8gZSf-><&Dy+wG`g~c4;KydHP$bpJ;J{7CdXJ^(E
ze*J(M&3I)HdiqW>jUgq<Z<~%D0f?XbRRLY#9EVzO716CsyLvsUnpL^~t;9PkkmC15
z^`={>DAZn&2Ylv!mjfg5F&=EUGQf6C#YRL%`1Nk6JcDlXy{TBPdG&jXj7C(@02Fd%
z>s9>{dnnJHyV<}^tj?980-Y+Oel?jMItI7`3GvJontdMonr>zD!@cvn?d$DVCW)!*
zo@7WhP*RO8;8}S+ozwLT&YuAtB)f!Y0H&o7_8>d92x^!^)SYH+bEIn_-cHm7i6Bz%
zRPO*d-IO4Kk+l52gW2ITsfh+&LZW2s`2Po4lio}}z%y;dr{ksW_Co9cPiSY89AK~Q
z?ai?fL+{88c-Z|4kB!mz3FS0oR!3AkGE7T-(f(@Zucdyl&KO_MEs&B%g(U2t!Q_vS
z+HrG^Ksya(f=WV64IMDOf<-k&(ua#&eWQk##>7*$7!fz6h(2%rsQnm={bLTA$47T3
zFFkKtNZj1-z6~2BEImwIi{d?cHoET#M6B|o21ln~2W(K-5`Ne*dN)w+=rZ=U4se~d
z1MXg+cUVB5r`Y^wl!ubQBShucc*W@o6=24H-`=RTQ<7P$`Yi!E=+rW5h#Ss=Edg7P
zz^q5x)<v|dSBKb-Xjoo);!+n>p&_Bd`}>wn^v7SQVTOA{70CH4TO;dEN4%SRhVLmx
zS}(1H6wU)hDXh2vy^n9W1}1WPDn;d~MNF`&-)c#}3XGiG+&^d_F3*?JDbB8u2g6h@
zphBte(L-?12TF^#09cX_r^|7~EeVt)#L6NM3IpqtJ43$?35lWs{Cbz8>rdqY?PR&9
z1#`zg*3O}!1X|PHxP+oM#L=s(hXKj*8=1<}{9ouc8lJysZ{-K^bV<C|<g!kD=r*mb
zH|F5Zn&irxhW@BGt>rcg^KN}`ZEbL+SWz&y8U=-}OVO}_xvtJi5Tj9+rFwtjdYthU
zoUEWYd*H1f$pU<SU3R8TwQX?*I>?Eo*H+i0|MFdsAp=FpN~oO!Atws8n3X6!Q{erS
z0j6)zOSl$K`E@IG-VJJ(A`6&$p7_*oW!9x8U~_TO1`x>5z-+LLAM^7#_`9;J_T+I>
zPE1x+zLx}+g;$rhD=LpJn>UX9K247U#%;;4i7f68LLnwaTp7*K1&6SGH-l#c$?qa3
z2<c(y(ZBn7ERcnzv%5}{xDg{@<A#2F2|d^J_HG}w!F3<nu%^ymAcesCc2PjjBg_>Q
zb2dN;7M#?~OhkE3J0;c4y~6o&Uac-s9l6N6P155aI-gN>KsdC;j5TzM4Mci`+ijvz
zm+j7Kx`}oE5&`R#cWm?S6<Hqnk9xJ0i!QwR^Us_GFw`(GuvdyQlG-J%Tjq@eKd!V5
zN?sXeUt788T#uVMavB|O6%+R!ri3|1(@J&rbiC{@pGP1Y*=2Wm879S)O;Bi{QDDDT
zt48(i179APKY?YRd*7A+BoUrPQHk=CPPmA-+t>Mcas3j-0tVn0W=_X%9CyzQVlL2;
zmQ2Y%QvoG$s81K3-MU(qt?}$6HdBOKsOjDe0~Zc#-ga0zl4_aup16<e$VW!iebRF~
z!6|`&tykl;CB7rjsI-eYP#B1mWnJ+C8Dt!lM^2C!)uiW!{GNZlDa1|c-m9cl24<Bv
zsA7I4!Ao*2+y9Tg#AVS`4`j*waRueWsw8R@RV%~INf`SCmnYMnmQNYdGtFV8GY7V+
zNGL(6RB8*b{N#?xpPsu%E04|{=StdnAm<AyDgmeGnke5yoKJXl)M}+i9e4RuH04dc
zKxq<OOm6wjrw4K-9pcRB0cJH+tq)~3CbiEUJP@R}`nwQ!j@9q6%qHR3;&C3ta6d%t
zNc%gSo|youIB+`6qfDxAWscB{An^bnF{d(31v>fZTrbx>aHOzK;v!JLq_0F&*Q6~z
zkwY03v}%1rq1`6pQv$0c7Ik7E&Jv!h0=XA~?6DxN&!=GwFL1BMn2@`kw0<Gtx?@s2
kk&Z7bYYtd{`}_a)e~Z26zhgH8Colkkr>mdKI;Vst0KnMnJ^%m!

diff --git a/06-Trees/Trees Interview Problems - SOLUTIONS/tree_print.png b/06-Trees/Trees Interview Problems - SOLUTIONS/tree_print.png
deleted file mode 100644
index dfbdb2b786d107a3c782f601988ae9d646fea06a..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 30513
zcmV)SK(fDyP)<h;3K|Lk000e1NJLTq006WA005;31^@s6^+(qX000+OX+uL$Nkc;*
zP;zf(X>4Tx0C)k_d1qJ@%d>aSY+iPkoYRtX&N+i5i4v8ZGfNI4ARs|OKoJ2&K}AFb
zQKBSKP{f0Xf(izLNDvhRf`al6dd~UZ_qq3ed%wK>Jlp%5s_N>RsqUVt8UQ#~yrZJR
zU<LrfBVuXxW`<N3S2rqd3eW)vFatc`_x6p6GO)F^0{?6KHi5_@?Xk>`uK!i+e`YZH
z`N#MI0NEmJAHNvia0K4~05<fEqQwG$+Cb=|39(TKM&Cm)3k@+4!7p}j;2*rYgMEHu
z4Enc>qrDLT7!CmNByVq8AOK`xgiek34Mg;ijRC+iMfe3r0Kn{mU|ruJZ$AJy%Mlsr
z@bJhTd<VheKL15e;D5p1-ah~8^!5(?7yr2zWF#`Nad1pjn0M0ei~pBhcvu|rynZ((
zq$fp$?cVVX8}eK9^ES3b{&|q!uc)x!K0{<6F8_!<4hU@rOGo(Zw)q?D2GC6H5sZw5
zY@=cgcQEqIpn#}YTgSiYX~{uGyAe!6=*RqHO#abxCdAuf$7d9T-b{<L--BRb1oy?n
zJD4CCSy9lN<RC}qzh%Dq`5XUDhv9%=Q}aJEFjH`>`OaJ{h|dK>BQ1AqK<0u~fh7n7
z{vZy}kUj#)04rbwjQ{RsKmhPYIPnNC284pQ2o6U^L?UA%5lsDC&gj2UOn;9HM8^H!
z8mYh+k&XLz&OftJkvad-84Uao{14q5nPZ2yV_l4AaOQvJ{6}I(-*0Q=8|0VdxBjsS
zEs9n|tDp_hI%r+A2B4zZ&|E+Ut&CPj8=&>jS_n@An1VNm=D>e!+|eK291vd~nWX6y
zgm8E6-RB=JaQZDB{O|RDvj7B-thBBCV*voM{)xyw0Kh0RDv1^x7!*r2Kz6RbG}S!9
zS5}&;D6gQf!~XxK?VMSEjQwK&`z(Uk9{z_GiQJ6F&KYy?KQylo0JMc5+mz`)G|@Hy
z=oJANI^i2fi~pk!z4M0wL_m+MP)@)Hgn&5moE3p8&;t6v1XutY;0RoS2eN*GkTpmH
z2_O|@fE-W&j)LQ$0#t)qa1mSq&7ci*fm>h@41-ZH4yM2~m<R8`D)<IAAqc`jWQZB!
zg!my5ND5Mf)FEBS1hRtcAy>!?3WOq{I4Bi52o*pjPz7`rs)w#Y9ndXk2zmrPhi0H9
z=ri;KM!_VQ1?GiCVL4bGHh?W*M|d9`2uH)oa28w$m%}yiWw;f-1rNjH@HG4mUPA#C
z9f}PlfRaI}ql{2CC^u99iiS!<<)g|_HK?noPSjo0W7ITi1@#?`MKhzRXc=Uk?n3WD
z`=X=KY3Re~3iL&EEBX%lF?t5QivEQmV|Xx97)^{h#sw3INx<Y_$}kr&Etmn!IA$L6
z4U5IHVa2d&*j-pxYzQ_5dl-8P+lcMMKElpn*Kjx-Cr%2dgR{YT<6?0+xRbccxL({C
zZXUORr^EB(74fEcH+%#>6JLhEgzv$R;TQ0m1O|c#L6cxZ@FOG<iU{WjorH&kdBP@<
zktjygAvzL6h#ACk;#J}R@dfb<9UYw@od%s9T`*lbT{&G7-95S)y6+?=k|fE9w3ie|
zDkRmB`bf`7U&v&#C|RHEMvf&HlIzL0$*;&86lRJn#hl_tIY6nTv{J?>ALt46BJ>9I
z9`wodW%SqSAJVTd5Ew)mj2OHb(ikckIvAcZtT8e(DlpnGhBF>!yu>)fxX6TK5@j-B
z@?*+ks%5&(G{=l$7GgGH_GLcEe2#g5d7cH!BF19Q62elza)o7tWtEkQRhiX^HIcQF
zwVQRC4aFwPX3iGIR>aoKHo^9TotNE!-Jd;={VMwy`#J|VhdzftM?Oa*$2i9iPAaDf
zXDDYeXB+2BE;N@UmmOCE*J-W+t`%+;ZY^$K?tJcM?nxe)N0P^$Cxxe$=K;?eFCVWN
zZxruI-rKw@d~AIBd?9?t_<H!3_?h{2`Gfh7@%QpCQ(377)G%r}^$vAafJb1LK%Br?
zff0dCK{3HSf|-Jif-i-LLh3>RLdS&qg;s_6g{_5Cg&Tw?MF=A5B0(Z2MDB{Li;9Ul
ziyjhf6I~SJ5HlA`7HbfDAx;+86OR_J5q~0ql~9)ml{h6aDhW%fNCrt(N<Nf=rBtPY
zrA|pblEz4DNJmK5NI#V!$r#AQ%QVQ$$g;^=$!5y7$$pR%mUELUmb)wWOI}4jO#Ynw
zlme52g+iu6r^07NNkw19O2sEiWF=Fj14`{mpOmGP{gqEEKT}~=u~s>x(y#JURZW$q
zdR28vO<2uKtxD~wI*Yok`eF5Z8W;^jjRP888s9ZlHDfiKH9u;}XoYHB(puCO)ArXs
zr#+`5sN=13R%cq5s_UhDMt53IK+jvRMsHSMNZ(KYg8qVmgh7bGWrGif@`g0S7Q=NT
zO{4urea0wbGvj>Y5fdhpJth?<uS^9^15F!DSItz+Qq1~xVRl*WD&F<foY&mfyxx4(
zLd{~o#T`qMrGsUK<*b#Y70s&C8n(8uF13EKTV!{{?lv1>V{TJw^U_w#Hrn>49oEj)
zuF~$Uy@GwJ{apuU2TzAf4&NLN9g7^N_K5F^+tcqv@3hyc-f7+0*tx`c+C|P~zss;I
zmus+VyBp5U$?byMn!AbnargPXDtmMGPV5ugm$+}pgUch#quZ0-)7$g97skuk>yp=&
zw~cp=_nMEnPnFNAuaWNw-*<lce#iWl{B`_G{1*ar0!jiF19bvR1DAsIg35wcf{lVJ
zf<J}q3aJiR548!c3*8QL4r>g@hkJ#0L@-5!M%;<yi%g7s6eSgv6Ez*J8GSr@m1ar1
z5Cg^Ri)oK#L4v~vapG~=aWnC{@s;r#2~G*u6B!dD5+5W<Cgmk9B%3CmPeG^nru3%@
zq-Lbf>^IndHVsPiN$Wo#bRg@%e7afs#SCIbXvSZe@|h)>Uk^GT?9AfLO3#|hHp_0v
zq2$nVo*vRVRGo{?4bC0OQ_4G;_bcBo|9*jdL0Q4pVc)~|k0=}|KeAmIP&iVgT6Fp-
z_GrY>iDJFtizSRD$t828)}^h-sK@e;eLe1Ze5g#htoj7;MBIt#a;x(8lfoyDp4_Sk
zsu-^{tZb~}smiNbKjn97?6m&rtJS>K1=T;!1fO|!*6eI+jc83-Ew(nk_U$>Rb9c|H
zpRd2bb)n$G&$@`Z>5KLk@6@Z+*I(kfRMY@B#5F8k-g|lUit&~9t1?&5HnKGqG=ZkL
zrsZp1*Cv`RoBOY;U%z@o<VIBsb4z|J)SA?~+7{F{-R|1{sKcV8zf-HT<)-Y-x-NmP
z%5K)~q8?&TR?l{Ca_?GSRNu<2z*}?up8Zp|U2Z?QV|Qm{z;fW;py}Z4y9RfA@9Es@
z8qyr<xUYV{ZCG`<^?}NRmcLZ~Y8g=-X?>{nuzgfxwDXbnqn<Inv0IOg9}hk;e=<D2
zd;HPFo{48q_dcC|=J#yzdD!z$lkt<AQ|T`-FY;e9yexag^Qz{x#Ouas)#>gT<CzDu
z4zp8pzH{&1#Jt&>&w5LKTeiTzP`{|S*tKN3G`j4*JpV50-R4Tpd&c)wAH+Z0_^AK!
z!K%yZ{3qI{?azn5aDJ)#s{FNo&35h8xA1S9>-ig;8yCN;f4}>~`NzU$!WM3;{HMgv
z&R>?lUTlYNZ%294ynn|6D5Qr20s#12hvX2hNbWES0Fm-1r}!;_q$?02gJ2vIDOey8
zz#Jrrytn&cPB<2xM46**qs`DyFyUB6Y(Fj)uS>uYUJ^U#sz^oTI?4+M21ZM!Jmw)*
zMz+1|mpRc~-rU{1RKCOf8v=fUlft`2hQ#E=3nku3nM+s8e3LVhKcX<IL{>IbiBYXm
z>r<cB_^HLNEv2KOYoceb?`sfam}PXrxWS~?^s(8}u5AleOKB@3Yxmv3Hu1LEb|v=J
z4h@cN$gUrD9&>r_`r2*IeR1#meTyD1JV(5Gy&HW_`yTO2_74cK3)Bh{4yFWu3wa$n
z7*-#CBqA!(AxbTpD|(CeDyA>CHZD6pAi+FQDv6l1octiADYblmR$9V==yX~}a%TR)
zvsvBQuMZJ&wezC#YYQfh5DT@7!jGOV9x3^GO!~NcS^kOE^63h?N|h?lQ+cPGtEbMQ
zYh-Gj&K)>^@xr6Jje6=OtA^Ce%~w7(YBm*J`*_{`#=};dwkI9hov}CTyI%Cr^(yr_
z-HPtdzFmB$Y@lqg_-^jKgF}bz9~nOKAp5V_5$A`p4>w2q9;J+_j(vOl^hw8f#l-%n
zp3e-Qi%b$G-%mYy(ekq5)&AFB)5bFrvkbG}=ia`Vm>+t3YvJZ%$5O}g`FDjY@$Wr8
zn0%C4WmsMNH2Jyb%h|8lYeC;E*X1^tH`c$u_|dmnvz7JJ|CjN$;Py7+e=OiaqQgWm
zfJAgw&{60$tc1i~Ur?T?2_$NIiHX8eux&VhJQseFP(=)+GbHJd9VtQd=?rHWZ!s;g
zu(BGnC9yYheB_elrtx&~(eXP`F9~c583<>H^onkYt4V}No{}1t{w&KXrzF2i!Cf&>
zDOx#6Wxr~&T8O&4hLxs{mb|v04y!I+_lMql{TYLC!}~@(#@9{iOv}x3cO{qyS-4v6
zvQoDe+s$f&w)tv1Yxl^$&!Nfj^qyR&7-tU`b5|udUU#hf2jryh_NevD_lop(^ilRD
z`Of-v_!k8P1ZoE{2E7fw8B!eTAEp^jA3hh+7MUC68ZCvai;<W!v9vg&c-HuZgpS0+
zNgm1aDR9cu)W-b<Y2gR<q#I{wW@;SN$=a3ek`r<0Q11D>+xasEzmD(}Y7{vgjVV4_
za=CQq*xNGr1W&o@NxO>h%7UuPr$$eIJ0p13w&q}M$GJ}zWb2|Y-l$)1(72p>rKb@z
z8C*NqJa7ZkV%D15cDDo9X>v2OtGoMauV|mct(5-Lw{PAVA6Ob(zlR=TzArE=_dw?_
zs}Z+{L8A$ea>kB7u6fcp-Ze4wbmH0k^RH8=7c4JDUa7yfnhu<)on3k(Ht+T}XW`P~
z-KCl3jTOp!kq>$w-B;5;jeb%3TDtaS-G1Z7501_3t&Lv^zx|H}j6f3X2I-&=iR(3?
zSf~w#VQcsdyovHa-A8MqTQTaGeylBa4wr)G#@{6zA^Os3lekI0$g`AT`WA-sjO9#)
z%(*PttT}82?4=yloDE#<+}%9gyghuq{5{m00xg0KLZ^faMB+sEis_3BN&tx|$u_A1
zX(t(~%(85YT)Moa0-M5&VuMngvYrY-<+181wIFq6^$m?4&1@}8Z6@tWof_Q`Jw?4O
z{Xv6b!+l1QM(f76O^Qt2&BV+;@9Htnw{Wr)uzY9LYMs8@%7)Em#<syO#$L+-cDV0Y
zvd7Jd>a^f|)g{hV%MErLaxdEJu#auubB{{TeO|m?FTGFs?DOUEo%AdBcM4z*co<j^
zWD*RJ^%5Vd5V{gp7w!|m6Y(^%G-`J=KKd3dIYudFCH8!rM?8D{!-PYLdWjoJP07J2
z)RgC`$M!p>ai+~5Xiq<uk(3#5aBr4twtJ5Mp}5@ayt4cY1+9k%kBk@27kw>8l`xkI
z9+N+=S!Q&?qTKGJYlTl`WYvLFrKc}f51;v1BT}1mZuEj!UE0NoOEL{vm#3~OH0CzF
zYF52oaN~8WQrn^S7oAEs^Sfqyw0q0@zV$oaZW$08Ja<oKXka+>FX54u(Ys^Up43k?
zJ-ape@+EjJKU4Q6XCZ&N?F0R%+%=AkmM!NU|Np5i?YtAPssNmy1HkDl0Cw&G)JXv#
zQi+sJka~wL830EO02>wo==n(inO*(&{Xqs|NR}S}4k4N25O@bsAO&a-lnkAMx}Yg&
z3(4>FU>`UKz63vnzoNKN2B;v^QB((N7EOoL54@0!tR4LZ!-UbpL}1Qh#<4`K0X7la
zj9tNr;{tJYxFx(SJ`UeYpd+{uE)yZ53$dAwLKi_dMp7r8A>+w3@+*o3rGs9azJh_w
zkioFd7>VR7zD%!~eV7+m!dbqtX0TD%PO;0e-{x@VSmP|_Qs8>boxsD(Gs=62&yXMR
z-=by<SPOCrE(+ZgE*1$9H5C&PCyB2~%u0?)-I4B;xh~rz*C^kt(5~30G_3qe<&zp(
zomE3fQ$|ZcTV6*}m#W9459@z4m@@1&sxi(ri8OUFGu$O-&SybyiL%_VTD4x@J#RB>
zJ7f38{++`Y$Dd9FXLc7cR}D97ci+7!`;L1wA@8yGJ``UiKUe<)0kwexL36=BLz%(^
z!X+bQBW0o_q6KMeF@%^Ou}kq>3D${ONxjLxQcd=kroBtI&bWC{IjbYb{Loz9p#p)!
zR}1xvri+V9U5@LVFh7}4IdGc$45bFH{eJ#)-G};>hLtNH8`rM=yn%1!ZkOvc?sDx3
z?u+kFyOTb+|6ct4um@fv1*7d_%i{u1_dTzkdizRYI%9TxUTPtCX<^0e!=+CQUsBfI
zZv^~U_!;&4{GbQ2zz(TKRe)ab2BJf%0q#&1lJO5iACc@{6ZV30;U@Sw3WenCuBdF(
zHPmY~897x#(Us`Gko;Q#<A<q2{7#Rx!scP`;fOeETnTOxFM_Ax`w47>Fv1{Fh?q&7
zr?a5zBuSB~$*knV6f7l^9?)knpcrx)DU2tW1eqF{^_j<6!dbDbHEafKv+Ow>G8_|}
z8C>#Q)7+&zyLi#O{d@=cO{pa6gg}j8jF71?pYVprglL=C8SxVm#gc_mh0-N56|xuP
zTIBC3yi#0OW>wKt^;IiW@7DOJC8F)AQ>i<p&u8Fg*l4tAVq#igHf)ZuP_y*0%CWw%
z`<Bh5?W#T6fz45JkG_+ubBs%o>s7ZA_fPxSJajw*yo$Yhd_MRI`MU%Z1r7%N3{egZ
z4m%zGC=!lRjP{}x#@viujHgdfOY}-ANN!JA*w3D3eqeukbH?&Pp{#w`6*<px+4EfU
zPZzv7B2$=HG+4}05?T7-xO`b<Ipt(tC8_H8X|d|NXM<}==bA6LT}0P6HF#cOxO%%O
zv03i=VoP0HaEDCi=dRA4%s#7r_S<s<O?Oj=EQUEBjE?MiIQJ;|G2fGsiGpVilcF!6
zm$R=2XBy^;=4lHKOWe!VD`M}jebikY`Rw`S<68PU{l>{3e4EujxqcP>_CGr?08vQg
z=poofd>;Uvga)85upn%Y)NtD16{J?<g6#JpGzzI9CZpTXYZw(wJf<6q!P;OevCB9u
z+)>;j-WY$5fG0!|UJ$K_eROJwrwvID$gbpNN*X;YeG`KX!zacvCS9f_=2I*VtYp^v
zY<cWf984UOoaeb{+y*?%Jnwi1`Ofj@P(uYA1r3B0g~depMY+Ye#HkWek{VK$(%v$u
zvK4aO@^2I=O4`aam8+^B)m1byG{>~Xb+UBd>RTDK8A%zRGZiqaHJ7kxu`;%PW)o#c
zvTt&9NA_#CYrMPi-VKjFuOmJleyRbaz~{jgq2^&r5lN9-(Xq7oSlhVk35<!fq$eqw
zsb|yZ4kV^8WV#%DkZqXLnX8=FTA*`ysL-|OU2$3|<FT4Dxf2~Hbt`(Sv`@8GW6oHe
zJzn$roaFh03j-Hf>jN%zUZz~}yV}*ndM&DX_=Y%=`Mhtp>u9^l*Ok-#q1U<ZR=?Ek
z<9D_PL+(Bq(!byEfbFlCk^7_EkAlW7KVBXens9!a`RwBJ`;+riTQ3=2@xPXuR+-V9
z)t%FSqd%|vR&zmZQDI4PS@0d@-O@_O`-BfFA67n|Uv>RN{M7Y1;0wc-_OE-_z*@~W
z!*8?e2R3*%I==7uzWU?vrr2ixmdDn{&(dFVzlOH`cKja`poG*Rkp__rk@DlK?d>n3
zNK#P(z|Z3C?ai9)?Vq(svVnX9=?nYwy<$fgi`3k!5c>bz{tt83enH}uQeprA010qN
zS#tmY3ljhU3ljkVnw%H_03ZNKL_t(|0qwnqlblI*C-%zw>T2JOMmNmB41nDkj5oVG
zyG!!OC67Fjchu>~prn&7bQd})Li%46p<o;t(#4U-<C0u+TrJmdy%~c6b_SRMFu=f@
z_O86I((m{3%c`%cs~g=w1Lzra0@a^O_g?<;<xBU{(}a^<x66S~2?xBN5;}It*yVt7
zU>DH4K=@Q~!2hYD<}ne|t+aVOCL`VN1@E0tk1400{$xG7I`q~HnLxFm-Fj#fVmsov
z-?Tr?;dTMNh0^T>!eY59Hy5(9m@Y}aP?2(_CY5?a8t@$Sc_rxgNi-UiR6Hb8!*Ll%
zL^@LJ6=#Qs-G?o4U>DGvWETg6JdRi<h_BCO<jmD&nOiMOw&9n$Cn$bj5CHZ|03h~4
zxv13ZQmxgbTCa#SsuGo|48(l$*?oO-VzOWQ;$cmlpx#wSHdzq&@U{!+doaksn)=F>
zDsuk%qWt*MimVhpl1lc;U@|H3a8P_+4}M<3e*yGOtO(r1zeb}e^+rQV)w(QYa<Y<H
z1;9)4`GX00{?Lew_Q%x!uC%^KVQk{_E}%DHQX61RIe%kGzIS$3Zs+}SaCBG(`x21I
z9--u>KfNL@RsemW@tR&B;Z5ld%<Gl@GlimDpIsEG<>a@H_sh#qk4YpL(4Y^hpKH=j
z=$~CcuT$_=#VA#(^1U;+<cA;UWomRxCI(Xq$~x2u1uw%Bfe!j@IQ>W@w>-6OG({uL
zJ+hL`%cZ+Ba;UE^fB5<VmDa5|)aUM>t#Du$&^@?i0kxbh%2$7WT`sSBq4(~UNGK!<
zWPq0vw-cf!B7<Rmv1sPChhqhR^Z9(J3k|t4GcT3Gvi$2WOv&NB19;cg*?WZEeYFk;
zb^+bR7)Q{`LOL)1@kiHWsTP+L`^Ht$)*E#Na#xV9M*`hw(d)z7g50Pp6!7dw-dR|Y
z>4h2jU*4FM6Z?mDLEXjK%{=Y`+QlUc<`qch|My2%WWExY<5OeWq2n-|$9DEwVGLvq
zfGtRkmcb|c-d<b5oNw-D-gAUxZY3jk=I+YB|FtPOvUhM7)ZI+F$MY_r9R^uxTB%m$
zFMs^8oL>&eXZKG?4P(lW%2CY-2K+L;xGI_Sto$EeIV58PiCs`{p#XN*ayZOVi3(lz
zC+F_S>Dh)ny>|>_$PGwm4!dELjaQ(4%RdcohVC?uUhz17*g}*rF*7#MC!SzRzV_Bl
z$rsC;P;<6W;-7M_yMRUkQ!>)soK4HOKU|d~d!RFWysB#OO9RRS<#Y>>3P8*T0_pes
zX?UZCXdHY-dL7~T%pa8$Tr0J@>>nMH^GhP9F3lo@d5@c2cMlHi0vZhBh()nfmLHs(
zkytDxv2aLd_^A6fAhi{2yehDHwf6>uEubQ<HTO>Vx;q{Rye2*y2h%d)ISJE5ld&J;
z-9PwfS?(@m%&3Z~clRjLC;RggzuFGiLRYUL*JoDb{h6v9o*GvPX*z)pI6Uw~F!5@g
zKD!^BdzTk|qkTo^B@<I;uXxb!&TA&(eBy{oG7^zn3sE_HbzaA(ImFi$zy{pCIvm)Q
z&_EE^Tm16UlEmXl%>MbLMhOXEQDPEbZOMsyh+zHkyS>*dBrLB8VI;b9b^CGR)cEYZ
zJ1p<*dt{)7hrO7{`RUc1ET?mj(#TJ%QtV>57YCkb2@UKJA#!&yE7zARk{TGn#0k_1
z0Lf#eaRVr#6s2bZieaoHxD3jiD-eliGsO*0_)PVI?+8S@xXA|Zyuz~uE8~RY2um~^
zmOG6gCSKB*ZjX!C_e2+2C(C*~J<$@nN#H`JUcR#`=|)Jx7&24o3`VsirIomP1=v*=
zcCPlF<A-49v`V2;m-&2MmdkaiYh0AujMGZ*u6V3|O+PJv#t$n(JQ|ZTH#1n8idB0W
z6E3^1CkLMB>Q1nfFz!6FT#!&O0R|Cpgp`qxZH^I+U5>pr>rHPF7PVldCUSHvB!^Qz
z$>yqZezq!QN^Qj5BNkVrJ-({MuB()uU0sn}p(J5Uze7xG!{7?Md+TuEi3K#V;)PnV
zm@dejEIMFV0$RsAN@kUUyb`eVs8{D17vu0={o*sOWdsfeee#<}<MP}@NMhh@F<X{f
zcgvE)LjM5bX*#NejX|#(zpWV^Uo>sjuP|m1(@n43TFl8{DuL{<VO=LoR}@d$;}Z*L
z1KOsfG0nYL66p_nq=tzUmCytpfd<e}u9_)t^Q<^>Zs~`5aTU7m*l<{W`*=e3#@kw4
zsfvyr{IGM!x9tucBA|qCIYwxlNzXpv3UBmTk$}vvme2}dJ&D)9E1_L1a^F6&fF`(_
z07t%5m3-AJgPcf#I8+?#AF_$?GO#vGBM{9Uue_xykuQt9a44o=UYIXRDdd;QzJP*G
zXBy#$ii{1~imU6Lg*g3MhqVc4Nj%WSeX^RbNF9?dULSpM2yfSQbKnUEv>Ab@V5+$W
zSW+kxd~^oJZB|*J8R^`5QV)by0NA=ZU63kf_I`FgFGrq989)P!tzkUqCAOY0m9-0<
zEa2U+XA1$pOcHu?sZz!$OilbYBD~&pog8>_0ZpliAvKOctM1HaH<k>P@YkhssG2|s
zTU7+N2ovyo<b8}4pTdv^v=(^|&(?7yrQv1V?rLJf(+_>RzbJrhU`7t-h5k%eg>*LS
zu@MIGZ9EL9L7uojPb{EW(oF!GIx_*K>ohtfAEDL;Fa5V+Xn<z^;yuCzF!&q^h@=bH
zKWINN4aCoi!kFyqHr&no_7|pNpR6y&ha5UTRzmATJ@5YM;J}j&Xn=%LjzFygg#?@d
zorRtOahqfG;{c6boLgQrEdEr9W<Jm%e&UZ1?1Z67OZ~Y1v?0uw8l&^oY_i2*i2=4N
z%<gR`2cB#|gBN~C)&RO(RqPS;V9Pczs5k`_@zp@JQ{Of36_OUX%2W6S;ItFSNZ{y)
zlD~#4yKvTfZ#XkVXG(mdp;$4XJBM7VjQO_vx0?e`ETD}v^hh}9mAH?9Zb$&qnz}BX
zfmR!shH-p0AUDtMzm7C^!rL#ZI}?z2VFB&FGx1s9gnFkh<^xI#Dnt$D5|FmGDAxb(
zwVMM^ET9b|Jdz0eWgt+OIoQnbV_zQuND#S!)d@fgxGrEjKr@iEei)K)WPDIN>}yk-
zoU*{nu1e4<B*e)W&=-^d4Al(5FpUSpi=CCA<$L!A9C%^@ts?{gM>67<Az0_Snyx?s
z(k@0Plsm!f#*9U$c~`3ex)_?vRLn#Q-*SYbP;OwR5K<O63=oTSok7jJ9)Fn^A3$BI
z)+B<l=b^YChHT8V_wEQs4~F5@6Afq|dRcydKt_{331B@(wFYFXPz2&Sq-byE@h!cv
zBY0>$B1Z=TQUQREq%hn87sjy1mro=G3qNIfxhQWf)FcR<eUo@r;5XpEQYp%jL<8zk
z5W~>`G|e;Zx}F?(VgXHVcmWJwARto!V)AAItK@1D4Z=<x)s7bGOtasUdyE60GngrS
z5!R1h9}aeSi@-qR=TBlW5!}M91^NEniu6NgXVk6eaif}r`fC5-cc$DxXSG}|$>IGz
zEKGvQF#wt~hr6yf2cB3!v&kl)DWUtJn;uLR<n&5jLV=`CxU>M*#kX!Kak(@wDrYaJ
zrGcH|9;g}JVST6_({m*W!5`OkxZtd@uctzLp%N9#Wtj+7(2B&c_{m7<t}N|7x;XH}
z0-8J^paYQ5;c!Hbjrio;64qf<BbfQ~t1jK<laZIyY2A+C<|_zwdFSI*`St~X85M;S
zEh=7dVF<2??gQ$F@oO!9vJt^A{j@5I>xPpuxpG0iG|`Y0%<%dHAvFlOt3O-jt-U_c
zfF>~f0B;C@9_@?BGyQ3KYo#EmSiCiSXIMs*Vc@N+skZ><TuKaJO&aZDEteS@esuQ=
zp$njPJAztatv6hdB$9=6-WM#$fuWE@u)i<}V~(tZyKa3B>;hT=9hO8qCMU-7auw!o
zm&*a@(jfzCD{aX`-ml|0+=sRO>ZJ?!T_F$$qiIQE_h)`HvzN3j-KgZ{`KhK1^~F%>
zqS~75N@q8}*4{ty)twSA1l=?OsXUU3$;%@(@l>+d`HlHK;ER&g{4gxXdk9x^#WQZY
zf0Wt;w_O`zuf||a*ZUsfHEyJnE9K?6R8bCMopm&xfLat%>AVZ*wIFuCd7>q>WdzlZ
zXf!JEL{bio6l4*$o8MmcK`LTf7Q`(VF&UA%R#mWZbY6RkUzZmkw!_gs-<b`zMd-~>
zg|hPOm`D0xP(2oNI)uCGMhDk=Jv{M%ro^L^<_JO}k&tq!BqztqQmE$Sy_^Tqo7VLK
zYU;fk>Jn~{+ItIBQynPr*E)0}oiRd=P#3FZ8TV%7_3^rl3=BvDfDU8lH;3zXrSn?u
zb-#Jy0ZoPwD3sFdc=e@HQpLvE7i){sn9j<%EIMfZDApuntOAH^dNFCzLjd=91$egB
z=BfO(%r~;Q{X|~`d!<&AsX$gfKVFgXp%n5m09zq(?F{aM+45`S>n@-j{tz&f(gaYA
z3+b^v>!rq$ggvmRv`X^<I70=0%l-(axVgOw5Vj}=7*%+8B2__Zy%@iIGM@OCj^VhH
z&Q~wW@d)&0=<s`olalHmlq95c2)n$^bayKz6L9x$PY&z?+F=U;svSfCD49&4QwJ3T
zQh9H2SuUrmQfvmLig&egQJMkxg~1mCPy8jIZ9KTQVC9YbzV+m&80<hc>s3ieUSi&w
z9PO{kzLBIP`iCTy>eCiuSJmi=+jU>=0@}qIf|>xL&f1^C>>g$g-<~T<rs0#gw<?j^
zg3OkKQo?C$zF-u7F)j>n5}#aAXGF4dMZ5%a3+O7s=?_0tj3%UVuvw9V;hg%LDTd|L
zf?q~QV{%|1B@uK|sRr$iJG%;K6Sup7?!hD;4{<9~k#C;O$SrgX`$Kg(;GLEJ$RZXA
zC1erG$4yvAD#O}Rp@HoI9!hI78Nx{uRY#n732OdmkqPsJ5=F&`HmkBXQjr7EybOlx
zvRH}80<@Z$yhr}_Y*qr{xV#FJ2m~{AYo{*s$m#B@ZVv2P@ON>9DgeQAb1p4^_QR`k
z9@2R<=9TCB3o`1@sG1RgxiBtXDq@-F0;Kg!At33hPs-T$QmA{S)b!yy;Ei~^0Cxx*
zWMkMs5Ny^Yf$K;V2F)X7=?mk8Su9uesjWKL*UNh4)LZ~YZ?Mq-%K9I@v`2pJ*$Maw
z>bUmqf+SZ#ZE(8_Xooo#%(npM|L}vW^5J|z#$o=5!)FKko2mkYLSZu+0doT764rg-
zSHbjj5e8*)H6N}XNNw8p;HU-HGII?y!Uh@=_d`147le);f=UyKMD<6tf}<*hd`4z6
zbvZNRlS?bGh>A|>KRq!dzyIn!9H$)B_}r3zgED=hKkcd<DE@9RpNFxSaV)0)+@7W!
z8TO--m_jElr6UeRO9e&~3&o-oF#%&iU8_}fw1Sq67#|%0=<#5=C-icz>I+~xo%(qg
z!-G-$cu%#0@ue}s;`6Nn^c9I=C%^~Ge)-l1i!u+@=TE+HK=z`uNXMA1Ual{8|8#KR
zi3hYB%&KMp%wut%17@$J`ue4RU=YK3F<nbR?$I^|XYUBa3J&Jvl~R^QU}%n)aq=J4
z1Ok?71y}WPaS?|G&AnOMOwiXb&CYiOz1O=eulkD;4|(LhdB403tE0>LOY%Ryv0skw
z8$<=!)vG%Y-1YE8s~jyb&u8S%esD!ToGZu})QrzfP%?X^4`3bum=lS(0*)gfbPUIl
z3i~6#`P0!0zQ=d!;*_NXv;j3FwSwDRjr2CMmhlnPMM(X0IwNUX8qH<pGAuEjp7TM!
zuE}uJCx7z#l)QFq48Z4MolIj_R+Gza_rwBvEtnyhW01@Q^ANzCvS6lUHqzA1ID5}{
z_@lG;_Spi?g4g|Q!`myvuu_yT^`6OOWOZdlve~rUNsGKa<CPofy6WS9`24v1_KTA^
z)i$^bYRf#=^@&tD2p$TzTP?}#QZrg$#yX0`#$YBNEm&PVy{}uwW5>YlJtuFdS4RRh
zIW_H-k5`-W7pG=qF;|g)@!CEaOtQ1cJlt23pUOZ_9H8A`{_`KU)r{B2-ICd?q1Z?=
zKMXWjAluF&0Z#S8>s^&E_)6MYJip|VZ=YY3rEE$5=<^3<|5#E%P4#9M*x&*R*tC}q
zql9)?oEFTtA({UJbmk9cp))(98AquztD0dK1g)=TJZ!R<PwL~;s|$sKtfteFfnJ@?
z=H$YnPtMGHaO6czjtqw7k3YXpo;x^%lHBbqvRs}RK)b=r4&VovG@;J?I)>(U5}4hU
z#e%xT&SEADy?R-4`J7x^!5&8F)zj!KCNV+tC$CP(8=u{S6TG+=5{3E%s~}H=%Ham{
zpJN8_93(TxnRhan32csva5#^uh#AZFi4PMohp}Ed>aWXN(>}SKY097e?3OHNE81C%
zMM6(>XYo@H=oXl98tb1yXFfM$)Qp`DW-F-)X3i!msGVUy>efE!)gfOM=aT#6@`_jf
z;@ufp%9V9yakM}F#De-$4d@Oq?_izTf_J^EyR&HTDXG1_75SXMBncc=bQUZ1{^8=X
z%wcBnkH4^A4(;jZIN}qhe|)NRXzkrPU0i}00!?m1GE>cX4@X9fa|RHj8AnGj1Gqyv
zfa`&Hz4z3sIV;IYnAO!ZCSjH(lP}0e3m$oA&LfLBA8`_<$o^-5`sATuM8kD}{A(2J
zPrH8oi3YR<@Op(byPTCj{r<;LGx9Q(^vkR003IIlNum#HGx{;kjNK^#OhxlJ<WG__
zoyEF>I+MlBA|_!9g`C{LqNZPAy8KQW1{HwcfBVLiyz$K5bxHd)3h+;?%3;(Al$xtY
zzmhA-+$tm&u2rnDICW)N&fLjJU&sgRoyIIdUgENcQ`&tv*BfBA5qy#gmug24%UA>c
zI5zRZP!8^I-o@!y)j5e`C7{2Vz%g(^`SYJ%!Qr1d>B9t3EE<yjL|FFpV+T3cr;>7q
zcb_EMHRBun`NT=+7LY*{@0T(K`QYY?T${<sQUS-b!JulbfqIHX_kFPa9LB^%4O7Y$
zHq+G#Y|oXX51;qIhVID&gK}`R4<iZfH5vrVPIcYDTgig<8%uHlznLX2Vk%0#kcR<E
ztm2C%VIDXnH7_ix!h{%9ZV7p6lEM<!kyJ=dO!dj(Jt<f;HI`BtH-*E_rG9gz@`(bp
zEl@80xr51(pMNwjAKoouheuSB@uc))1zZ>%BtJ(3U`vZ-#4zTH$qGDhHC(n>!7x__
zYml>&3OD4-PY=p5tYnKvjP+2P&gNM7XneWzG_#bGw=d7*{O=t0f`ug+OJF>jh9WCc
z!n*2m5!<>zbS%*)$-V*Q51~p!k+~9S&q=<3p+B@*ZyZU<GY5tx1%s7zZh`S=DBIpt
zJ`sQ>Ag$zBz){9OK6_Vwd9x(LP#yLR^-B!9I_!6XR{t@O<182`eJOzL?vEOb(k)_j
z+l~1p>>{bkZ$C3C#}5ptk#QTw#__nWZram0;qzx7+?AhP$w@qxl*wVN1dITP*wjc1
zO|=@9vtko3Hy_XpFV|lO!&r}kt6BAj@oc9B;vq>ZP)BaeEn$OhQNHroA$ji5C=5?>
zB_E=+41HXL-)Fiz9?)*)p8j}NzIkR&Ji$JBYJ3<g&O&C{CW*Hmooh?dSVZu>!k$;-
zSZEy6rKSDZ<yE;hH!rVE1?6{N+9yfqoUJ%)fJc0_Br(|wx0d9ar|#m+@2DIZAC-6%
z<`kTzs>~-zBdB>gZXHwRns>BRI)+WF|6R26(U13Zi|MR<e0Nq(jEMZftNS4+KDj$&
zb~K<ZplVPP{^8vl@{gCYa(H4dbikxq@}xD-jdfl(h$(XHvzDXz<DiBk9cAd*AKjUe
zK5t(Bhc6zGiJ`<}1GO8>KR$a~zHxR*rbfn*r+%%wTx!}&j4HU<Mj4E&pLKcUcp~lW
zXIz<?lUi{_{`DLCz~_OskZ`eUr{C^aK-&T><9v~?|MHsr;&xS@Ke$gjF=W1R04e`l
zobuYkb-yOGyB*aO-C=@bDy~j1NHMo4|Mu7R%Ym`fBL}smof7yvr*F!)E@tGp1N&9I
z;Avg0in$5eNvE6s^=K#P{h<BM;)=}7&&t1fV?sW&fB2Ep&ip=z+mV2_1<JDnzxInO
z^0Qm8VsvO90EZ2zXj0deI31i|(V3#$s6gG{)H{MvkGwgD35)cc{O|wdpiGYRJ^F$L
z6TWl$hJ5YAth{n~KZfQ4Dn%)kdx5fpbeDSJrms7k`<sTx3l8bcVf_B)>>c@EzdR|&
zriLCp?VZGI>1js-niSADA`A3e7Yp*@Q~MRf_f|2sMEkm)S)oEG*z4#pc}t7(zx~z`
zj9Wh%z0#;zBES6buKdO6MLBu!Knu*9tH|q;wW$wGpJUv!%Nbc%yet3bZ#{(#x{skk
zZz{KIJ?%LA&;%3Rxoh+Co%3n=%p_;JJbG|D_L-QD5B#A2v*{n>G<KSuD+0Hk*Th5p
zlXf?1GBrFP*=8J_v71uDM9stQ`7@sc?e*yu`PzF6a&*rGS__=41-0vbX;(g3dfnGG
zbQ|6<4<*pfeo8bxBwu~&CZ^VlnlCMw9sXxW0oqEZrF2e5GscESaq?3@k1gieB^;8Y
z2H9aeoIU+}{3zMg1Q)`iyv#kXjBia?lLqrrfzif;<0JC!bWP4&o<j&@Zv!{m?vNZn
z)0BL%B;PtSEz#Hj#@3_8@cIMLuJj?dR`XUq@VOW5e1~tOy^N8PNmS^Y*?|1?gK4}p
zyV<v$@NJH8M**5T9(QT{^1_TPS3-~yn8M`{6#i)ekm1U7GM@i<<&Onsucq)?1*hMf
z0<_`XSNpvc7vj-0%$X=&OwjBb8J6#TxG1xjjiUs`=ZD}xB`VjMkLTs$iU(lo*9t{&
zJv!PQK9MIX1e)05HH>lZj9i^rQQDc8o$PiDpp{QR^!!Rreu{~Msgc1BNzB4#;i}<r
zz4D$QaIWrm`X2rn#{TqsI}XOv{s#E7obZD;O~a;Fg_ItEO^#(8%K84)d5n8w;g5RW
zzG7vXs3*dy>>qu!B9lXdh@9#bDy^l($v-n__^=h)N%v-GXWR~7kOP_(=JdJXsJl~_
z=A}%vYx~H4C^79AKocaK5O^DmYrw!bCrt<@)d5l9dQ~0JsvMLelwQsinAB(WW2KrC
z&gI9bEA;FBX5wtCGVO1CM>D#62m9owSFv6somcP?RNLnW&W5~yeF+B^!BP_@O{nfD
zZTCfcJO741hTbjFj)3%EsWoI`pikbsU6Pr_^h2P1`?$!Muw-S2H~?fdSH#+kJXVE`
zgPGVQ3Wid0sYImpL*Ao+?QJXP1Q$IzS9;@GXbU<%vtaod(1BOJ>EZC*IOoRk*Fd30
zarE2mYCt}oPRk%prSf^VlXd8XmdbMOMg~*boH)TWHpZJxKACCc*U2(-){*-jv@_fE
zWBt+#RWQc8F6|_o0n8u6Pdsr7JqWubUSCu$++M{}gCw5Kf+qUjX>L19<-TcSv&sX5
zFW+62rK(@1U_^!HXUSg+N@cV%oG<y`J~+v;)Zp0UlmWm(4db;il!*U&@FnfV@$h(h
z>xffB**_gnF`o4k^XHL7G$y~gk=9+-k%*m6wqft@svtwAuFqv;I)@|Nh9fE&NliyS
z4S7y(Tn~KX(9YabsurrG*&KXN-g2Q<6h_+ly{!Xx#nD+!T5;kAan`YTDJEwy{r>vX
zC9F;)Y&J6<4sVax?Fc}#Kx)uUZ!hGej^&P+uu?#G$s(|(yAa5&HVC=CE)7edll=ji
z#DVk?KNjO4NU2(vkLRnf!`#Gj(v3QGz2avY%pdI8!NB4y%n4-kB^X-dDVsdVhu`nt
zDHfr(-kHa)Zk!S@4wI#<%xfL<#>CutY$wiqlwq?v9P!J^Q7oOsL7;x{k!sjd22=Vg
zn2-XnX%W@Ie^(N&csr6Y>QEGhC1=wOtotZn^d&~C32xSR#r60eA3LB88v#VDB%8rm
zCJ7v+#^R)k&{23Sg?9P5IA&ttr!u(wr6W;!ZVF2(A(7nf<Z?;AdoCx}i?G>@Qe6WX
zjlVNYE4-67CtH?b|M@z=H`JdH4{KiUOtpgE`vwvfOFHLPVMrzzM|7q$*b%NpyP>uH
z&7mD(s;J20qha~dQ&HL9XBHh<e|1#osmodUA(ju+0BYvCJ0|N_ukMdXo5P7d=x|M6
zP_EABWZzi7F428(+B;I+mIu=IcpVE1zm;rJ7D|wy01frWjt(BsO@LEywSLaC6CAo8
zbZ+e4cy?bz!MvQV$a!>R77GTt0|R0C^`~IY7DZWMWC+OSx0Q~@=Xz$E_J?n5%83Hl
z303fMw4<#O+#d^>cWqT5@n>>102-SUu&lF{t}Fc(-Q)qn@tNVx)fix(8VM<wOU0Ue
za6Jzdp)C0tzzCi`cQh_f#bCc0&&)S}Ytpglxvxlr%SSW}06hnxvmLbGAII(;>aj~`
z%_5rIT%jzh6_1R>(d42~w+t2*E+o;dxsqI3F3OMZRHcN%OC^HxFJ4K>WW*zbLpX~N
zrfM@~NF4|<0%I$V0-488WRO>OmYNUDJ<{30WJ*O=%2-E%(*me&aJX(O(vNf?CK#is
z$k}UUdFu*<10;5#;gJ_|aruMeI1dK;2L(5UMGX?2m0_#SqqG-vt{@P+j|jG!;C=Xi
z;3Bz?G&_P2xE#^obZZGmI<Obs;8>_rNY-<QGN2F68y8>wrK<e(=@k?$4$MU1QHQ*V
zLjG{3Dw79ctrPD8_{t+CXl0)gdi|~qBW4=*iVi1kJy=6rDAxdt8usoHc=zAPF=m2l
zdnT~}03ZNKL_t)yRIW-6*8hh<J6i%nJL7J<7X5D8`I(X67eYzCkMa9cxW}d)`~ccg
zU8a{Hr3E{BG%84CM6MNpi70*gq3e(RX0PyxTW%64qnv7(if6w0yy2)xSFDfXaR&g}
z6lxVr!YSKYm^!{eUaB)p<+~R6^qY}lluWj;`JJ6U`^-s~D4tVs1G;*#E@?<8mZd3F
zCcqdhbTwj4)%>x~=E`G#7<V0`D0PezYcq_<?z>PCmU(1{vkGa-RBUB#r_cABqn(@A
zLyQlsDdHN4c;)0i2h0HAas|>EX}W1=I;6>P!K7;bcGB)`!p=1+Tm`LX8MMd9#2x4!
zKcLA<Fk72h@Tjvu$uY9K4PN`ku+#mQJ`tD0XYgJp1qS-Ua&*v;xwKq{x`FXsNEX|y
zJKhnpSE1U}cy)A61qAO|F>Gjl-@0RP(yMVXe%yP|a<t>!8tojn-#ZkRWBstSgwEgO
zNCYE3pdBE*a5*CvGw1<0w7aUv2DFnV19xrJ5I-w}$?w+beH0-cJD^D<3y^H{0l4g_
za7?IOs19g!6~Bum&TH2jNJ_?q;EDrm2!*2j2S?&E0Lg`RQaedBSrLc+$7I%nuscrr
zQHM(%d0@e6I`)01=Pf?50wQAkU}h1tqghAZP2L!lllCTPXE^p54jo9!7soq`wT{+r
zm8}zKkNA;}=F(p8m1XA72#XpjoF94d;m2(6MAu3AW6B|!!wy%#1FJxgCVn3Q*Tpe?
zBvQLw+n*_SsvJ0Sttj%9=lkS^G0ti=<>JQ~`Q<_lYm2c-fX8-gH0`i_?2MhUbUI|u
z%$z}uS@W^e>!zO!?H<?-fjR(nh<fS$(9U?6tqWJu(p=!A55OA>$nnXj^kYZ(>n8`$
z2UwQBxn9vp7Q^073fuH|(~e4vmV?{A{K4&`ebY?Zg2%@WXk{Y)gfS72fJMy;(FPI7
z-oJ5eHd_?&O=nTGDdx$pONFL<=|oC?^GHOyY}2>X^0(&;QiT}vK@38WIgU5(`0aaM
zTb^1ko1B7f;NVOg=wq6J)~EZtF=?}sB|-ZNbW<O8%NTWtQM&VH^20Z4b7qpKl)eQk
zQ6Jnk+4JMY)3YV{!{-NN4`wz`V2pb3MoCud*lx8!JiSt&Jm*TtC`O?S?d#>j<mGYw
zee8fX%mJ8T6efj2y@TeFC%J0Vt_A959Pe$BuDue>%f+U=_H;^q_t^x-oJAHe3G!E`
z(z1kb7>3mjQ%4kTcyzZ4wp38Tm>NdHFtSmR{wS@1K6npbRU_sLwD*UaayyUXm$Cl)
zerP8M^T?ndVtRy96wV8JetNwi$8p^9o<lG`1HKNS^_z$4!4}bq4E3yRcJo@_I^ad@
z`~<rn{Za6O{4kk!JnfvzV+XXt63mICPzNzqd>I4xeXz4Z20~MFamwEJzEV1+F$?&@
z;Xe8OlYJ6H$mzRj`A@%CmXENmBLUrU6$MGD6+&TZEH)}vDm`zJ8TRnmyAL#Q5-dz=
zv14f}W6uzqda0m5JQ0ku4Pp$s1lk)7R72!TM|xVZ*o^kNl7mpyP{E#?2*J{SSuWrJ
zPaU>{3NxAr$#BXPa|3yw;}|@~AMvS!yRD?UZ$LY-TZL5j!0yLHpL4RoE}*+PWu956
zoL1!-eWS3^6<8`^bRw!uRH?x7x`!igOXa%knTX3jeWo8~2oM00KAmsKv&Z`6bx19C
zw1~mGXp-NAE*%80Ej;cKy(xKwEtN|+qq~XS*E~-UXP+S92a!~kb{-BioD4{Ex`av-
zH`B}{eiO7ab6%)X1=tb!(r1QbFU}>ua66B&ckmJRzg|9)lw(5%&~r0InFk|CJNdCG
z`k4**FXJr6WS|ZSjpLkY%J%_jzbDV{)5Bwz(9AbGLOuYRi;DU@c{H8S)v%&VCq5j;
zD{xo>EM$Gxe&A}d92OqEj3KK%#-bH^n0`5Sq+gCP0hhb&ugdqQtCE7%FRd`HZx%tU
zAav$C)8PXO6@Wf6im`4iOyXgh4+3TrDZzsAU0*;ZU~g^+vzXImv{0~yv{~Aj2ZFOv
zZO95*sDmKv<PrXC3g$XDla_Cs&tt3~lP(|(eeWKQ71X?L^9G|DpuGTVOwSEtTpuR{
zY!~f4GVs8!9y_2}AOy4@Yiv_7u0_Ba1gz)^`Hhj67T-Ch<%lfHbVWAaHc&d~$jhbM
zS@|)})#em0Eq8PaIM_&%+cU7s=`^|B+-s>gtwiAi_moB@NT|5Cgi05L#ZQ>vg+96+
zfM(omo#Ft>!2yrlL<>@L&LC`M!%aIgt%NyW9ppu@7xBNGnv*;GV=x_zm4;AbxFoj%
zpf4;H<vUmMvIx}+R)sN%vz9j|HvDZRYPbW4>&6Rjy(kATrXA7Bygjs=6t?&8V+S<J
zv4G}rX2(W6a(1ZzD@G9%G{>Xc1hc1226J}J?O480A+hbgAph6hoIp)f5Zd7{>zmgk
zMpK6I<8*sV9I+J5|5mh$8K*{YecB36qk3bohO+@vsC?~Xjavck^M;jz=DLEQ{qS%=
z-osjy0;F^ZRzcfi@ywn>I~hVk9LFs3k@OdEB*kByfo(g)*^kwRG(DLCdeKjov9MR7
zsK{7hYU%_07-!;hMd^IUSG@G0_qc*x-_Q0{WwalbT45)T=F_&LGCLXA*2|6nG?^1X
zq4H4o(Nt7ElUkM2kkWmyCTc-xsHWcQ2BLXuCMN)5NahKgY-Nhd7Ii1TSQm8V9ACGF
z20Q%_=vu(=ObJ?mbRO{J6mYaD7j%ptc7?jHM+0b|ghF9dmWVtvRFWUf=3%}dxp~@|
zU*wf>jbOT)nde9e-pBxYz<8t2T)#r6v~7ZR#>cfA;YLoL#(|{CSX6@88n+8*W#jsP
z$T%`7h(b+Z@%U%Qa&k4Bhh7|nDiLrMtQG}I#JP4y$$~V+0pvCt$%Vfx&iiy$3L*kl
zs6r_xuZ*D6IgpTG1ceIe$vkg|YtfEM5{t!gTt*Iu02O4W7{qX%(WM;-n&f)XZr|Zb
zRg2C-m%1|bX5-f3oBhnIjSIJ|);ZXlekoOvsUa9wC+#SY?V{bC>~`I=^6m&nwS&58
z1lycOVP*cMVJt>3Wptv2Jl3_lyyAgUw)MkJuXVkYSnAhaHC%7My~3N8!6W%nK@LUo
za%?mJz$KtVVn@w3H@O4|D+y^IO2y^nv4;3+S?sjonrqT->D?Udq=yokEfKGVXIr2h
z;n)ezVV~o8FfY%H`y?I*?Px)%9<i);s@oANhh+|d5{*VBo=8Gc6>tDfQO;$N#SnIK
zQ08beN!f!E-i$-JsM9OM;l?dliI#Posu~#8NC~9#xX2)Egv4+r3xT)Y1!|>q1fv@<
z0B7G&US7%N<<xQ-n-=<zWvUUR`O(nM{FJL@>1$@>wJ}&x>Q5=4Lr^!ioA!0sf8Vcn
z44`eHl4<coLXCDGAD)-1nY?7stMP@RAd-?{eGqQU1t%OAeB2`nf|<uxgzFjk!UQH0
zU{*Jg>}yFV=5@Orff7Uu6-T8hm-=wJZ4rmn<II>6I*mb06LCkvy)wRTrZ!JIqwqAV
zI0YapPxn=162~u-_9$8p9s;@x=yjRA_Jaj=6ir(hpuStg2~X&h_+eqbg2n0{9FpVZ
zoGm0Pi^!3=9TC}gZpgX)cE4xf);rvA6r}_($D3LC(pX6jj6`t;I8Mw$eh4_WA`in^
z+Bwq03VpYj#+I}S7HpN3_GSPRE*SfMc(j9fFsfd!NVAd?&YoXP`(<(^AO{ZOs1FP!
z?sPD-Ty~r?#De9iPPdk8^0V968G+{ZV6-GhgNsrxr!k9&E{@?n6b}Ns{ZDm8_cQL*
z5A{grJ+ExM`6JNz(|g28-LqW5Q5QIR_}9jYatM3$`uhi^udff2DdC3(W@N!}Jl)DC
zHx|qC!|PS79r4Okq#~aQFJf_b8ncL|duQ_8rki&UL_1RFTI^D_B=Op^yqs8)38c&P
zzkRtVZ(Uy1_}MTq?Vap)jLJbKarh0BegJb${_9y79fy61sd!C}_7x#9s?wKVl@D_b
z>^;Q!f|OR&Egcpsqwxp9)$!WFe4^Gmt9Ce^84GPud+KF58p+ACLr^mYW70n`1VHzz
zUjMM0TcsW2#MkF?^0%kwC6AfUsdz(<r3w=9RwM<9eHQ0>FIE$JNIh+36UcO1qMg1i
zlMt4-b%42EE6e^sMn03w$zZr96HT0^g%04gG>=`L)5`pt&rhmN4vrtWqF@$wjN37Q
zW}%Qtxnfzq^Q&pOIA79}UtbvEVj!bKCKDAI!9h2du!!g5VoWL?*v5bbBW{f1R(s-9
zajTIbHmB2P<5sRi%)lr%iq+Xuh#`b>y()YB7|G}_$-(}nb^ue5%mg!aTB;fkv$-Xh
zDgBnxMfuv>x8?duMaFRI?MtI&*#p{}o}?t91`S2?aw%PvONA&VOEAX|^@qUb@LD(R
z8Yc)|Lp$F&eDXBwSc6@~3cR8m?<>husT#)qq1xaWxPH8kMXRVhA#6JK%K!7$w1)f5
z7bbP+j&U&0JI(DFK$BYySm^oLhcoj1ODlTD;ESUTIW!tU&mV_mqC--`^lmh=iUsQh
znaY&pT0SDTO0WZm)xBkGfAyl{L?%;qSuk6MvtU)Vzzv79{CYHHO$PiGIUFy@-gsRX
z2qiERm;#WgX2dYD^Ux(T@<m*5qwM#7bz9zqIj|&F9=?L1yQdu5nTHaF&?3=Qtn<LB
zxEY+wm=DRd0{R-D8=5vEA-EZrp`CG(W;$MN1t#rSoGT%Oiu)>ZG*OhvIA#Hp=#VDR
zS4bu?$%C&j%oxq4<@Ep#@<fOA!jf11<J;59yRW=BWo9xFFVopcZbtx`x+~-*Y`ZPW
zH{P4WzBepJA82A7FV;xo2;)>LrNAne%aX;gUMRc@D@GX^!?50Qj1%82hGeD?z{XIY
z6am#-9dL#IX8_EJYqM=A>V@qKFA5XCfgtQ3$I3E{<~4~mBs?Z9j&uD8WOe|lGe2xF
zD-c+b(d54g6T;s-w}?eqK6wGBQ60lh8=gnb%Ef$CFk2bHEM+*7My1ZkFlc`o=Y3BX
zg8IujwCC$S)qSBrDTw)(YgodbI@Y+rvXU378&=Kj1??jt+{XZ9jISHoIXq`7F?XkA
zxNgJ0B(Hi4h|MeK7rpYIP65=&^X~xEwB5~34?9UxKXyQ~>Eby3>{4F7fn&>f8thXk
zpFGd8-@XI@MkdE~K%XGvkK?t`EROr-vA@N<j6iaqsKDMv)r(OPFYMYuVq?mTL${Pp
z>}b-iUDOXibMaEJE)l$-B#Pq1)hL=-P8_f>ISy_|GajazK`<M&peg6BFUns6C_d!#
zXun6E9rNHg<D`PwO*`|&5g-nsMRQq6VtvUFKz+25!K|tWX3$__p@!4EU=D(km=iMO
zE!TjDamZ#o06Qh2nwm&c+9Ppn(*o_Nz&!VywDUdb=B^n-KV|TuywWTH(q8#+$uEC#
zYDTBpf9K_Wx*=gFf%>rmnqa2xTY%pD?K5}e{h5M{#ju7Khs=);#3Zg@#@W=44$C1k
z&Qwuian`Dcf+(O+izw7m2}d4dB4iIX!&16Xec^6$Is)1()AT{@4C#UOTsy%yScv?w
zqA(ph6UHzP(;2<F3Bx!U`Rg}tW30WdR*zl+?Sp-BNupJ<Di7C-lXm`?N9LQY2x;e!
zw5LG(7-(<6UWg98xoHP2TyxD%o<ES#bt9H`Uil-C-Lw<Te6LPf0Z@C2s<WS6^vhqK
znbqAtzxT=%EVFV$#?Fw`j~UR|<qh!t;=-(a_u?`RnfJ@{qap`k;fPIO5{1SBv}3;n
z85zx=1+`8@pgFEU9bvOv#aV+i)J;P$x;KxN1`^5#HHJ$*87_d;a*Q{Gu~il%-!Tm%
zkxT`6xL{@)*kO|`$v5A*B_AyoWfT?p)d|{S=D2siN=)Wa^90Ytlm#5~%L+)qlV+-7
zyz)GA8iDCWJLzLM&U6~uamp;>chjyFpBaPWJ<}to^}Xg`QC{{y{lK@g*ogbpU(JHY
zP5Hf7_vx|HI|0;>4bU7nWhdq$Oz3_Sj3JY-9$!vi0ev4jCP~ar5o{LB%4O#d3z`0H
zA(82n%G|_B5Zf!Ipmi3oyjo!Jo<GJ#XRkKQ!?>yn1VxC}@W1=3JM!bJX`D9>FpoFo
z;9y7+IPN(Cb%TJlbh`7wclJj*=#R8_|J=0GzopfEwehS+H{V-OYaYNRk7r3<!g2tr
zAMXRyfAjtv`YKKNXRqvoxnZ8Z`*<bwV*xaoO)xL4<mGGc+)+b?2eJK%&Fv8M<|I^&
z7?vuMnHw>i-&iPg1TrO#y>}NV-_dXP&%WpNkvY&#d&_U4Rr<!+dFb>$EE#Re(<45u
z#7R_U_7U6_tykVG82OE~+8_C_owSo@%!^e&Ow|{85eCM%MBrERe)*gCa8w5*^?!q7
zmHW`aew?6w<bbx!rU}{aKti3yg8UKeqJ9YyYP>(<=*^foLGx(A+N(gj-?{y=0Bkze
z9}DJjJLZX_4j<iGman1{$frXo(GGBbUlOWDO7;1TDsnFxY(?d_he3Ncs393N8!vG5
z1Gi@Y>TjG|P*DH#*8u7`Y`i`uN&UzHt(?H{1CL4jhx1G5c^e6J2)i{XnXTUZpa6W(
z@S4wU{G(t-;ZHAQarWOWna|hc0Cr=)y0?j4*)eniw{H^XVbJadHSY;&svj><{lN2S
zfcjfFDU5y5fByP@94o@L+!$qXz`u>G+%T#~3TRWPP5Joliu^UlGhv|c_@Gyw9XEP2
z2lc5F-mAIYkfI&<(SkXRGi1K@_DwlASJcs*SD|9<>Bnj|>dlW}M)E;fV?oU_GR{cq
z=K*R${M|W#`aIU$pe6c4fO-Hsa7<sx_<PXwHxvGm0U9)FtzKL$piu9~Y_=wQv6=Hl
z)tfO)MZForXIpJ<H$&v(_QT?2C-D34-IX8X%)fqg0$&_sCoq7SIkZZyiu}0qdav}?
zfLgKYk>@;FRX+&o?_OMjuxiM^{QN=PR%R;nqXG3J0ki=#cOX~gM`x$y9qi6#&;BJ8
z>Rw2wI0}`+Z(G%y@5TJb{hf5{)DBdvccEf^<NbN;X7|d8!KR!T!5%%#N^)kB9WJ&?
zpA^>(YC@Ho#YrKkn{sN_FW<v?i}l7e`Bz^!fR29Dtk$C(f5^Drc0g+(BGc}CD-rl`
z8mFXw9i4{+j$U{X!*fq#Ta%GcX1rOg5q(lhwJV<nyry97CsTMHxrk2SU%hn~6A>Oc
zfz75bPKanH5Umm?b#}6y3rkD)m7w;c5{9uQt?fJtYK~x?o(sqiFB8;F`B$IcFQeFx
z+3kAqtlQ64pSKOrwpr<}fwZW(lEco6<&6COdz>;AOd`}^5Je;f$=uKFJs6^+p&7b|
zLF87MvK9Z#FKO<ko4Vt2rYO{#zjYca7CM3B*mQHezbeDfnfnI@Af3%ZAXfiR8r@n}
z$T!U#aEO(=_BnCo$H@WDN?K23IEOPketcyWlP<U9H=fypaq5Wl$3x(i5qEB$Sw3!s
z_r3gLC8cF$ug~{>*PW3Pbj4YWFMo75BQr2?lEncwSsdX|!1VNTCWl2sn2{^3z~Bj{
zc!!2%Vr)>3P7cVCJ(wAcg~1Rru52sFy>sw*d{}M577DlfFJuaGX*w%+7793r1;<Q)
z?mVWX)7VDFa}&Mg3~cTdWdQ4}$3gdz$w8RA9l(eHHlKb%=(gN;mrn&}+bpc+<ii^a
za`DEz%+D=I2J38c!2#?Pk7Gep1Hube%o8MGR-rE%l)b}IIXaPqj*Yc5s0eflMKILe
zy4&<Ndwn24yTQDOwY(qRT$H!3Wdtibu_`Qv9nw+QfeWi~#41+B6|zfGETBh>rH;W^
zAIx=OJqGsK(`H-)3(OA<2j#WHgE%l9J4B$C(7DstEKv{JpSv*G`h0YI83*;Gv8fl6
zJD@p=Uy^hKq%|y>DrA?Xn9E??na4yV#S_AmHCifKW2#{@>J%&zy>_@?4owWeRPWBE
zySqHHIPB=kofUcW%Cg*Dg&|8WDS)Jg{Zy%APhtbK`7oal!!m|QykC65uuASM7Lyf#
zhf28sW0F33{ZPLOwIqPvoyJzn^1c8~>11nB8Ye=%`_ZiY_%aM_`(U<pFeL*Cbnu*7
z$4(KaWh($}v5=K2uCzQ9#wxE6HokJf3}ee<z3;+GTBcW4<>-LO7mtm|vHe4u&Q1h%
z0qd9Fy)-L7#rC9JJ&XhAp*~^l3Ac}tW;#9I8C$xFd02Bo0dj#*Bnr9#c&_i}j+-K^
zBrUFH<j&HH>`gS}*G~+~XATVM8e})0HNqY8hv$&Le`Q{N^3jsa7Xvs49c2#nDNK8W
zDC;VKT!P>#mGa7pFldfM6S^o&C%_0EOuW!c!*V(+w?X?ruq<DGdQhG_JfiX3FR5Dw
zv>RL>TwjpC|J4l4)JEmV_^>%)lmO=RtCJ)8S5RY}MGdRLxB`xyKkCdn-i&+F#{qci
zV>~?Q?owKAFV4&BlOg%77p9<h*>O)N(#LRd(|vV%MZWp&9jwC+%HgpQjJL)?18l%?
zg`a~$N^$-;6<v2$!4bf;V@F`KV5zQ{&J`p%PWqW$$;gelIr%Kiq5a-V`_w+kPH3Xs
z73=O|PX7MXP3&Uv$ieYZ8G(5R(xSAZ)nO~dGb8KR@uGBt2R<01G<3Vy%^0D`jwL&e
zO91wjxp~>2sLAiYG%5Q=(SpOd)80(6Zwb&WEEYl;p!?DLx8)x$WaQwUJuu&eL&NZa
zr#aE77DSZNF-N>O1*`>xZm|AiWa^A3#_z>9?vP;Z{pik&#9@N#zk6*`4x>4KT+Y(X
ziu&^pr{$aPFUk1uD5Nr0Q-KDyK*kU0ahRke5!9qzOIrOBz_wFl>9HzI0ENp<z*lGI
zrB+;#KYDcn(t23EF*?gF8}3nDE$yW1^v84Zw=f79OAN}vu^~14t7o!PNTIS?+Kuf&
z(2n<-Z_=!SYb^zacB~{+U^nFE{E{rM%*(%gX-r-^I;MiIoril<ylFt&NV(_ln{VHc
zw{F*Qi2J0jg{|@&F?g^ArDeHZ+8U7oy)C3p|9HZGt^ww<&)W+tGQTt{|NU#@^4uY;
zEq%n!(p^O}`}gl$m!Dk4E}5xGtXGIasuIY^EDH?z>ZHS+Q9~0w(I@?_^>6%Wg+}4d
zz{t$CnQ8gsmxkrlW8;r}3YodL`D82eqjR_Azn)u_LwokBROY5)1@4BlGY0G0JX()-
z;)km063oC|ymd!@?=uPcjgylKcAFO)+j`ec0oq2!1w~)|#Wgv%;FV|gPqb<%Gib7F
zk}+ghV)(V&*>ARBdl75=D1qr5rps^3|MdD8Ec9b5%Oi5k0drr4)cpEe*W?#Bs;I>K
zp#PfVn=ReeADdePSo@|sqlPBFWmx08yCN7rq?<#2=WpGXKYnpQK7Rs(*BXkUAD!d&
zuz!5-7Pg0F<Roa1Vq2EGCAO4qm3B)@n<J#jJW*P+Z*lheE%}|NWAc?3_Nh9$8LICI
zXq#ac>NnoJF2B4DtM~`^YQeGQTB+Pl%w)=Dv=itywsyfA0N4Vyp-gOA=y=63&gD#2
zZqDA7fA_^nd3tJ4n{rg>hwez@KfHTGzI&-4&povd`Y#UkfsVMAZf3>g-%x2FOUm4Z
zZ2`YIx_ub_E6K&1H|5`aZcLs(Jf<x|@3gm<6{g{7$}c{=EC1!pl6-dmJ~cK|Ux#)>
zqv3!lbHfEU?Y5N7cavX!cRO3=9LA(-d-mE*`NNYb`O-5J;JF#nb^GtWzqb!khD6`I
zFfBj0ioJVNdlXEprTn4>PT<F0Y3-6fuC(G$jRrd38I{qcxqca>@Vj2wc{0z&j}sP}
z4E}>KSlq|R$#DOud==|J<}v0;Fl%$)P0=<z+qmDmIw#-xC@UxSO)5iG&FD!t4I{Q`
zH*_2NNfY^_*UivP|4KLZ0m2aaf$<6X&+p90t@%~0NH%ZVMCzJo7(e-Y8N-o(cV+?o
zm%VC8lWG^T)++0EnX~-wO*>T-@_=QoVV!5bQ{LD(kOoImD9DaZ?v=lLZ&5B_12rAP
zZR9otv?0tR?A3q${Y3>cM<R^wh<)137(v(Z>-COAxc#*WvV@td+mFe-rU4pQTgL|a
zB-@P3w@=^3VxNi@?ncDj?>F*{QgC`PBY$^#PNqi2FdP?vF&ZwO@5*C~uHJNa^2SXQ
z{k!<!#KZoh;VZw9?m8wPupu}$C|`%ojvOSmR_6O9?jGSR?JL=WeErlN%;b(p5;J@R
z81u7+o>qR>`{sI&$UA7Z&+E|62^&`E33R}}_U<%>H@Q^RfPXzQHUu=qe-Y!u-+ONw
zi-$1ik7a{A2@2^$8ewP#8PY4L<Ol$N)VUfkV6yf{|Mtgl=0_mg`#QqeA2+!w$VoJR
zh?{2^K84=(JGU#kQyQeLN7n<rCt!3T)wyY$ZI}R{;y9%hn@?MLb?Dd(-JqjQH^cR!
zo9`UjyXl61j`&Pqocq$MR~I>Ht-||<;Yd42ZQg=eg*zCQ93Sjc6J*S{DJvK4EYFR~
ze5<r8Zk+OFdMIBCvSEyIFV!MC!bFv4qjFyt(5y-9gPgmzAm^7F*oEDvog;HDw<}R3
z-1?_PqeikOcm32}GhXV|VNM5N8IL;*vfcWQa9WALXb%7E861)yU@>_HohAlCux)du
zId961nHBlvt&&U)_v=s^E0ogi%6p4$a)46Coqy+EX=48E&lTR%$241E-E>>OOdEx<
ze`HAh@!|^B#h9g<Ca>E@I#@|gHf07a(+@6ZVW@Hl;5MM`Njv=OzXzb*jeQ~r0019p
zNkl<Z@W9QxPHd6y92(p|GAKX6nTt1PSG0v<xL&R&py`)~ShAOW>MCY&k^{PH+UP#S
zkgI@D5`3>e5{UcO&-Kg<n1XYCr(aiGbts{>;Q8Jik7=r4jUFuoXCkKyUi5;gSAm=G
zyIqbFidKq#dT{~!<C2)l#YC=EHIR%}NaUOOQEAI7pS$vF^KR)@db<2rTGyr9Ne34Q
zle#YM$<{+?otBgj+eNcG9_|`{=i^0b`Z<Lk#)yWaW<4a@dEk@f1Fx2EEj}Y%<{^R;
z4*amd`tFrQ>~gPC*7kJ00gZac5Vz;j@&TmtP$CM3Qk5V8O>N@U-jm_&pDEl{CgF+U
zx__-E3;|nVk;T@%zV985pi9R4<m`=A$zwgib^+RgZU)98FU-N_8`dgwyp^qko8H!a
zhh%c)b)CGE2bOLvNXxely2%4qT=t%E;y04&lV4oTNWM_iLS<gI!<l%RLf!eytsJ(6
z^{MK?yzm=;NWOi)9_<7uJg@gt`qht9)-Kvj8ok4^|1#R2ly`1%kz3yMBYM!@6VOC|
z5o695a1v`G9K#r(-{?x9$m+`W$|iw&GiSq8+L9PD-+fgA4FQ(<YFyCqqv6=B;@SSl
zJS+KlHGa&M&;7B8T+cKxRm`408Qp_Ao7fhvT#N9*%@tiZ#Z_Qz?nsZN*L_tr#K|-B
z+p5IO?>cFcx6CRF*3i^VcU$5s{fvu#@sBM<9Gd|$unu(<=MJ);v0aYwBSN`&XH^PK
zSZKn^xEj*F7wrbP4(-UN``OI{(o9GCO{FGZ*V1mW(?L4|b80;dDcyj9PUexOD!@rb
z+2PF6F4rqEk0Yl!*iJi(lTDMc5gkZpMq5rxrS;^B*OhDgnc|I(2*&>mmYG#><=TxH
zjvk|lE{$7*8b3z#FbsYS-*rXzNtat@uqbF6XL%o+8iF61Jb>Q^aHPEiqb*lwaZX}r
zuvIBrQQG)5ug=>Zd|^I{Wmq)@AndqvD-ML^VfA4($nVfg#xPFC&numM=Dp=1UUCMN
zs}#@Q$;fB1h{=bs+0Bg4GMWt?=%9g`t1~&wLz|O)+0?7E`Lb6VQ8(?jtni+avdkmp
zY9Is*!7^!d>Y0C2?kY)@R!cAf*jrwi7F~;W^T0!!F5Jz^>rYp)OrpIuME&B=8bI>{
zrO-+ii_@_TbT3XO)oD&<-X@|6+XovJuIdNxos7|k%^RCoPsk^~b~r8*H~_r_i~PU3
zR+Jkhb5t+E<cM0=)rs4QPb0&<#)&1U{aB)Tb0v$(2b>3j<J=5<T>06;t*yv2%Q)Kw
zd5YtxVk4cq3RUBD(cYbJd~aZ9%8Q4hvOmrtPSVxR2u3~S)}5l9S*oMuBd_?~@j$}#
z+40Y3x8pOshJq29Tg4h{w4(8t*%;yWw$*zkNv<woL&97JM<9p$m3GpvIdih7jCT`b
z^KP$*MJG+rT4%BTdoNA~egO;2`a@U?4jL(amv9#O+t*=q6MhZ(HgaYG8L^K&Xy>aa
zr1WBL1)D~SGJ;lwRmTRw=XC%Laef<%^SMfjYYPZ)4b@Rwx>ICyaE3eP-ucV1!yH<O
zmk&ne^ZT8ZbLiwuqhLQOK;S@ngH{IC|27V0)bh%GrB6185ty~QnXXF~#PvZ1X?doH
zEjmpebk1RO!YYhD#=&i)>L4O!WFy)gnsrVP`Km%iJH9s}lMy$oT^U*_$=eI4eiTz~
zx?NuQo;cUfd~a_Me-w1D!1(z*HXJ9gTSP0PtrYG!HhHh=256YaadHb#X9ge~EbUn3
zxhdM)Wd>V?(1c!kDk@(_rG|yG4!0lXD(>Db%X<)(JW>%#N1HbKbm+9?=%e$F9YwCU
zUaEOz8iHp8I(2uMcO}Q~Y<lW4moB3U`SqD9fd`Z+;aa**3Yt}Sp}F51I#@H=^z<jg
z@`?pBKGmv-4e=t6&XuLd@QlyMTBGLJ_xc)tjN>p8CwXwzy-F%Rqdn8m*3VY1%u5q`
zS|$%$aj55%G?Xa(*QUKYMw8c8o-Hj18&Fzchhx5s?N<$)IAF-5gua1F$O0qns);#%
z8M~?|mJhD?Hf0VEQtQaWeC{%A;~i9CW9(vEKU=<Pz9Ci7(q&PZ2ayYoy!58MlV(dh
z(<Du0l<VX~On&`nR9K%^aq!W5H%f9Bt=`@tOp>5=M%PD~!Gl1_ck7IL#wTXTzHML0
zE2dt;uBR33B4HoG)1`Lw1~epe8e6Bt6Eu3HCTde)Vu+TptFu>=7@^qdphwj`^6Q7A
zXd+;s5TZJST^ZCNwF7`sZ9s&xV`-cdAJf#R47gjV@CIo!d0MY8ptf=thaC(rj&x`>
z-<_Gb=Mx!QhYndpTxc`YKPN<tYo)#p?V2ggF0-v87%F1wa_J@v%iOHXD4JdEWHEL~
zf9yn3`ke&Y7Z=?Q13JDjTC$}ClesyZ*}+2P`sy`)+oA4xr-B7StWbinM_7|KmCXRU
z16f+`-8?b0GZ8Ed!m-TQfpP#AO_9m;N>Tp$?TlOp$fGFZ%c$JksS`op$&W;|<#*?<
zMZ0~e05A{EH@5c7W3~i4hRCzm=PDcc>;SY%DFm!T9jIWKjtjRbCH1{cL$8R$6%UiO
zkFG2zV+!aTO-;n*<TyZrh3;>ET##pu^vO6*lVIFj9l$H46`if68V}y{4f@0S&HgbG
z)2zW|-qbiFz}Ko{*5f9xjDxKMJ3$qU!+O22&xWw3h3Jlie$6{K-F&0Zh)3g7FL=Xv
zk+&Maz<zlY9YVBw=;^D6)}Kzg?Q3n2?Sm6PD>Cv1-H}tnT9LcrY6aNj4fD&{L2j;~
zPRi)omDwE$zBp;Ep`CdG{~~CK$D-`<*5y4+&Ya5BO`i#U3D$=Q&RJ(~ha(+r$Jh-2
zZ2U}!|J+W?7Zrhd<V-F{KDzMS31|jZ;^2|vegqk%DD^4jraSg^?@cC{MGs1?ioJnf
zgf7KX25;ZV$<LrWzHkB$z^F+JU?wx@AOG-#JHs~<lliMJ@rUuUm^FUAGm{Q1ShDec
z9M^3y6%LEl9HdctkakUIQ<0iHktS0?86(c#MyLAM8)%UrI#{`H<NTBrv{)>2H)SRV
zZn}FXN`IPHRuq8H4t@3Zz1g?OGw9X$0G4+CHy<7i4yNdFj7C2UJ3?4h^N{$MBKVD`
z!qNv@Bp&cGhk<}=OBG22*<l2*^lz4S4FRwaA)H`i1tP!svnvogBs8<H9@u;XF)UQ`
zL()W$<9KT`qpvz1j3@SBS1>;J`cp9+#)CSE36P(l2Uzh(z%t`ZTBtBg%SO~AE_d42
z8{aV>WWE+Mu3foOubcj(@t{&5Qc7x8;$9V*X|}T1x-qF}Q;l%Yf}m2-C+u(>NeSz(
zI!NkU(*^m-g{+*<H&yLuMbWyko}DYBv5tQ5Z1O<5jjGly$*lLyUdcMnBWO~1(CKb{
zY0|Utm~@?|uKeNz5IwbQ1U)@&b@k!6ihuIjFjmZItgS%TZe-<K=dv<~Lgy!qrYkO+
zp2<)vs3DwTfJ@~y^4#s#0Gb{cKUxN@wG>zsR2!$vP;JMKU=hj^JA$7(gcGa~`2EWn
zIkno5*bv~y_|Se(*Q_A&2GioZHO^s1$2ap}3zMBJm9QG=nh3V^f>Chffhvyb_e@HY
zGifq1=BWL|H*Lozk>8r=gIv6W(+HqQW(r_Bz`bWEEaTYWO!ez`A;A`Zu`2VBHc%&f
z(C*O9s5=rfAf_PjVIdEVxU)=MzT27E${ivg?Hti!gsjM|@^JB$>2zerl?K&7tD>nN
zpw$DF=*n%J1A|WS<X8m8DFbqFKX#!&bpPMyOEL(M*)Z*>T-0<V2HNq=)|`1{x%bLU
zPe3ya?14xlO#|X2jy0h-IRqACcBf5-R{-kYIGT_N#Irh|$03>}Or%i%Yy0(}6Gt6L
z8HiZcI(Mul9j3<^NDnt1L~s}mjhmQ!tc_u-Z)mCuod_L=Wm%fsu1`C^cYpOZYVz$5
zR#l%XqtX&5UJP^m&NKb;g?(Y{kPgeq0k3?09`-6w@M{ZoeY%+z`4z^&M;x}?P8UR8
zXo7(1rcuL~k520BlP!nVGnhram_L?HIaii%y}cywW*aCc@Ca+^|J|#wzcT2TVT^VR
z)^R#8{o?1QwiBf$_I6r^SAO(H*s<&kXE@OV(8h@PKop$=bmEvn0@R(50gs8!ogE`T
z05mWpj7g8@#*Li?57rWY<+%YZSP!<kC$t=J4&O7d!I7)T_dm?YEu81ABOi#?l3~)c
zEVJ3SSC1|yO$A{K17I<4>Gyse!$P;k@I%N`QySRP82W6Q^kMU3z|Jq`jeT#}?|}@c
zvcM1r0iDlQ<mZsu$0ouugpT3xkY9?JiS2`^QPpcrJeCfdwz(24T$>EL{jmLk;zRt*
z0pqZGqz$>*tI~vcqL}!KdCN+>9~HY-x!dyQ)s(k$1-%?6=5QZ#M78biN>z$zMfw1~
z+2xYl%2gH6VeI-D$Kg$vAZ{awr7bQQlCG0x`%F?<nL|ySrwDwJUM1fI(!Xl}O;0p0
zFcPPYg%XHE(}s5@+a@IMt!v-$jgdy|w6RCaf~4!~58-F-?O)d85gd#@GU$_2A7$hU
z7!iV`wT0WX?KjiHe|N^2CWq*97-Bn!(^jMGae<9)KQ^7sUNtQK45GFrakh9FqdZ{%
z&*<pwST>@azR0O6n2wPuJ$;I2W*f(1Bj|YHK}n|9!1z@{<2`P{H~w*g;L-~2ydqzV
z=;2QQ5Gfdnr;fxp?-$IBR`Z1N=*KKb%3qZQw0udw8M1Y!PuiI^zB5_088ufQYVkad
zAH$+vi9s+-rabcD3QiqE2bjwpBHFJ&MTZWYrqsr%T#6OO$0*o(+bH>npW88?TpJ$4
z@q9zTr=gwY-uBr6XoGkI=tLxdBXaYS!P<r>&N^A!EV`3w-?P|AZ3Vl-|MSo0B#GK-
z!`8Vw9HyWCTkH|*L$mQq?1DM70y9!L?l=fy*fh21Q36f8%0T<UzK0rAtdwDA*^8Mo
zOoVW@;Q^e|4rwv~kn{(eat(9`{g8tI=Vl%A3E?SYgFzXFE_DkMY7rwFbe?cPzPL9k
zsK3(0yV=F64qxfmG?HkgV(HURYyWVly$a(sBe1JY!!EtnGpr4@@f$<C7gnxN=Ft0Z
zX3J0yu^`Qju8pGrFo7Fn?#4nD<JlOV#K~C4_eJF=vsszJ(EdU69i|}I=<@lpT*nAV
z!pGsv^=a2~ccn}9v<O2*Q<xNvfuFr-?*KHzvSYy67iQ>CswqF8E9)vJj&|USiM~}M
z+_|wS!w<bdvY(ql(+w|le8quq9NjAa?6Z8)kZBnH{vMVzAAx#9w+1{EM|8Y6@$iQE
zC_;)1K$4C?AEgx{ZeDfQR1LR<KMc#3iRZLXvRuJvL=9_?O|$EYh_thyJMv_{bK%WO
zu_3>IJSAVAh{()rUOrwZW9HE-2lhne5P(j17lr)uWsKRvKkN9KG}fh?k`8TKtt1Bq
zaNrRvP;s{OLFi_F7@qv2F_<ZgNPU1Q@JbyEl-f+EH+o!`cJhPRS)41#6&zhXG!~Sn
zpX!%?k4c}aFraku0Qyrgc*1V(Ggk_NiB9y-4DGF=Wg0zc*ALnutf4X=oWMv5%BhzL
z;x&L~P<kYwr*M#uXQqfg5=N1oNfv%L?E*{GI(L?E?>urfo%KatG%%j!K^u$_9XRN!
z=!A@-j6IOHtf}<diitODetE&aR-xk+vWJ<XvOFEG%NWLay;yUic08EKeY!TFLu!cp
z%{u@hDoqfH*%n5lwi(o`eK2{4+KADiCagY{CATL6gN!l#wX%fq{Yy8}^7YecL8FAz
zU8!!EudSGP<Ivq^2HxR40aHS&G#KPj#xSkLiu`~rlg%6X7XV1624GO}MnSUJv&l6h
z>(kDVCf8bSsA$Au80x?`ezh$9uMEjibO4`zDkV=liBut(fA+zW{C~69{0rn+0d`N?
z5uWA4Bm3gs3Kl(?Bk6hxu{D6U1<M1>M`4WoXgn<+@nA>TG43F)gWFDyyDo13TDkch
z3&_9m_MF54;`5l)r_925yvEi6X!^C3x|%-vsX)+st9d!H7Znek1C`JZSg=+~1yG0s
ziI5yk7395iK?1N>=ca>75%bW~A)gTt^wz~yS)9lD;R(OQF*F5LTqhkCv6Ah*X@DKf
zz$dN5jAvcCyAuIF^01Nj#l1}&VF8P!&~uGRv2}CQ9YfD&rJaC=#HR(=<3oA*$y^>S
zbKmA^XUxbS)#R1sy!`3UtMc*~`c4r@etalms+tx3^b$|=r5bvVGVjVM`*9f@GWvy~
znxx_>lsP0c^31%u-MWCLNaqT+qr+MG_(mQ*YaW?vS<lAEL7Q`NM{4igNj0=7foGVV
z{XPskauZD-3L8rtpsSe>%v?(n+en<NO_@Y+x5i|+A_vf^42B}Q-MyQzuHc(`<cI_d
zHIB-AY&aw5(Dat8H1TVswC0bLZ$L8>;;`NOcdPOi{DqNU4prKY;t;0Dus%-LG+6#@
zhHmn{faZEnuqgX+o?!&rqXN)#w}WoYvjW<j(0dpoFz?S7p|9eESxRZ3uY-157(KWO
z*@RXNDk1dnZ?2SeQ5G6htUbXHE#40R%q(NmB{q`xUS-a5DZ)&1A5PsmGz4p=*oDq=
z>eV`}0kkEKfDU0X^#M!>9A3!Fg+d<vxtMko2xsfeohcggxBFXL(AsbV7#^Zub~*@j
zEA=P|Ew4;mHWk!p_##s|_S~#y<vB>HB=#0==OII65T!lo9><BUC;M0BZGgHT$7PV|
zmhq&}<kP5B_SsU(=L9NiA3RYFq4QuEjH@Kr%$mY<Xu`L9(v8$Odsi-H<>UlT&B756
zAz04e&hu!<TgFGrsKcqKJU_fF|A;<7z?an0?#LquWJz_F6{$9^23~mq-eGot$v5~+
zK)s|hYK9GIXg8q@PwhRQ7?O_CJP*sYZ;Vt?F8xaTdX>2+pcx7E=m-jypgB2~mpj+6
zpu7zGzwG^LjioQ^+QhW)>^FNgVC9oBS7P2<Ff*Jb(_W1a{3X!wlJ7I9STCi@vTqOv
zxT{It-lxsB!fxS)g-R1#tRx8>WdB*veJh)jIhc%%;uvMCdN3cxwW)32t^H>Fclzk2
zdu=GbF=5z@XNv_n9xuwF5lCl;?(I-FY`UbKWgdp9uNW%uk<px7hst%OfMHCY)Qd8p
z+Z^rfGG34NR=V~E*KQ8+1v}cga#8k$For+k*W;i!5@J08ZHePq*s(Zzr-M0pHJ6p|
z!YV(;-IQ=$xWmj4X%4Y`bZ4qvhxuhQu9IE1j`A(EC7c9Ml&K)3)Hnv~dE)9rI5msg
znRp~~G?u^u@;vmwRr%g+9I@a{L0Xyh;VnvBw7cnMvD?<D<#)rIHr>XXiH(0%cf=6l
z5KftT0mt9<qca%A8Q*L{do{TmCUcLEjF0g~(Gm~##pUHa%d)5j>>=E`I*7!GyTxip
zy}h*OG1m~OXXKU123iiBNrQ6Pi1wa<X695{q50*ZHaytp@JLx!Atl~iVSy*~yEX|f
zFt>@acb&y--x`wnjRooU<G#1P0cL=#h+g-AWaQPcy6#knqq9aml2V0v-7aS<GtUhv
zmHOo1a8X_b-9N*DnY9qC?;|g^DRful&h)$Kuyl4`O(<J&JL525rtTO;fqrf;o7+BY
z4TClOhd?*ewzTt9t~jjj?;R+~>xGQ`a5{r^&V5ixTq8c~mU}ntma47MPQ96<Ox{Xb
zJ~v*L$-#u7or3^Sjn*sk4FSy>OKFt=cq)(*&r}wqT+hkrG>%pX##KVtT57Z12B{^W
z{iS_piMH4F7xx`A%~(pX2%iL)zc5ykeZxEp+?=|)ox@f(U0bMbx=)N%VL2%WeHxVu
zwjsDE$f_SU+{ScUI=ip!(A{_15yCK47+`*5yoid0(`IpM7LUK9gj%mayW`pFvn}&D
zTIMp!{4fMbsg{?Y&tnL=iJ?NYQd^_l=3r~I6U-j;mA-%xmm{MQLpyNDa@nY5S{KmF
z1_QD-P)gTubT2LNKVM%$foA316?AU=F=M+Iwbf>~Epgj#2uiy48}rP+>%pD{#$|$~
zT1Cc?-seV3^3+HSQ|N<wQ02V{Yp1aFI}2(<cS<)9JX>EtUNfK@dGY~Nj{4E2$=;c(
zrK|gDb7SAzXM1I1!)lzzc=G_%jL(e~<?wJsQYoIAg|lZKl5}pTZ*=JhBq7fp=jMsy
zSga+DoV>HtluR8*YM|vNm2F|RO|&CU^1fKb7&y{<4PZWo37Y=?0niV1!#U4!qsqJ?
zph+Z~bR(@WB7unk_O?&TGUny8I&HmLjcKh_0Fq2g8w0!CdIjk6(jj%Y9jcClgpP!B
z^4u_+oH)Qdq=eanDmNm`9q;|zvof;<phUFm!k=j_O2iMkv15CoN>HO<wH0wHbPw7I
z&~;m9Cu43p%q9bLdINcRaTqPq5RO6{7?c!_zhed4sJXo#I(vm-ew23T>YUx>;{RjK
z1#D74>%3T(yA_r>S_$x|CCavecCPB=<jI&fCoe&O9T*DA;NTzt-LIz%Z>B}QC!k5N
zZHB0N=<p2)_IsDHP6G?ou><4dQVa!)83ixa7QlZeczaL^Kkm2mPiNj?JubjJfHB7t
zeFe-m;rKTkd67b)4&rRT7?`{n!c2@0_Lp?Cc~63FqLKye^DSZZ7>+PoF3aUYTq@YE
z<$+BQst9hnS<p(C`(=wplP^m*pUBr{qbe~^Sx&}ta(ti;^T9Cyc?g9%&{8#+r$^yh
zphktZ&Wpq9<H3SlTq?_jTwIDCu6SEZyDiBMh9Ht&WzM)M=^Gfk4`GqOGqIeU7=WeO
zezZzxjR#QX#9a`ohP&e1Jau0;1!z-{9L9^7LIqR3P(=cPWgKywmnrNJzm$u}Y$YTm
zWUGOVlH3Hz0>ecmRI4UCIp9~@8RC9B)=pRe!K4F@cZ(I}sU&JD&H_&+?ID%u5P`Xm
zLPA+4S-ROm@jPyVN!L91ma$$uE0ft(xs(pcoiePl!lF+Ng-g1%QiE=epBm}x6eTW<
zvqd)&;t*({3A#NM*&l&=ktoZalpmF-Pb+ahnp#%khp9JPdfiv%(+V=pGoEQd%O3!!
zA;|V*R^{VN5O!72dDfC6?VLn%mAR7Ln|6-Ha~(@SDp(3zk;za=jwH)6fx-I}08G_V
z4`oG}TlJFpxR=`$pcx4xGvkzI9jdA#kY0h{Dpo#aWITpdRhXK*l@H5u#Sc5q0ZG@n
zTpUd|nPVbp<%dfMxe=2K^izSVBmm|;5fB!`S_RmJNG4+1)28mk8p_J_s3dbMlP<a~
zQ%N_$6$phT7RktHv>@}CxxA5s0hCHWaxkN{T7wxaz?R_VESc77l}|ia$<Q4l-B_v_
z_o3p3Ycdrp$q=^qCt*i00Wed4WhHXcy_o`a=lwzNnVxN>SO&aj83b_NU^tYP;V3E~
zme$?Ohh)AK1nsaF0@|zCkHv$ZsF1kxOx2B(E||%X6zERiHxjDKK9u=z6cc4Qw<eKD
zwrHn{MP4&qcRU->b<ZOyx&xc$!RR_AtntX<#L!Fz#se`<ozLen)P<8%VbWu%gyR&-
zK0QIT49QgkkyS`y*0BIq+VO|3CKkXnWdMte_={l~D94s#m^g@ouq4M^@k}rgNF?lW
zIZHP?NtW(xHY?d|MhXtynKCQ`mHeQa<`vMnLD5;dnR7p;zykns7~7{}0TgPaA%h_p
z^~TI;7!{Ti8Z1zPhf>+y0o-hXJ`DblcK$5wEawbp&pEUgF|3)xl314c3Vx)$1ldbq
z*SXmcj%%e!I~V82unxK}1ll9mq=2;#JTIJM>z4L7Cbjs^w#HkbeanEh3}Z(@57gwa
z4nUmG7cf1E*+dXqE@68O)~(jiTctfStV_}6g-tL4O<V>cy0|W%#|{Lr5GnxBa%PfX
zW?@D#Ur!)gsk{}UY#txRm2~r0Y0(Xu(K2ae#_`WQbh3sKiV7rg2?bjP{hf4UwILSv
zaz>JLQ#TAN-L%qAx}yr@okll#Nl+Ve2N=dgnJe9(on>CcmFu)gKP}akunAUaw^RQp
zc-kWgV+}NoU~+L$5Urf0os&5n`)4I4?G#}5Q|9*#XiK22x$K>C+>(Uq755yw=6fE%
z$RRkRM?*?$Q^xhY0c}zU+%SJ2hCenltev*0xgWwF2AFM}R$|%0CB2q*8hhk@6@X{w
zR_O*1=tu`g2Dt8+OEoRcO23Ql$K4uPI(uE+v{Pc+vet6fvag`bK|9Kv6`%g;ly>OY
zTq~nTC}S4d($6vvvCJJHKS)dbK!COcGt*Xbv5-k9fy^s^d}oLwWsuO0ZpMOBoeYE!
zz!t<L=s}3G`Fhw_ci~#PEzMeym2T5qGcQ_^u^^wT_eiUyoqVuA>+fOb{Xyfmw6k2@
zwA*s$JL=5bXJ~0+nR2$#mb>KvpZU#zo^AO3yKMoqP2Lh|ueOHTtMz9y?k2*0Z~c9e
zuDxg`-Ds$tkq$$RrL+4=o_tbWFWT)pUajjzvwdg%Jm_^>0o|P$H!=KXpSugM`?))w
zPujDk)8^YgchlMZZ2f<dua;IzgMIF%wfounf6(jy4;MMn_XA>uUjP6A07*qoM6N<$
Eg43C7*Z=?k

diff --git a/06-Trees/Trees Interview Problems - SOLUTIONS/01-Binary Search Tree Check - SOLUTION.ipynb b/06-Trees/Trees Interview Problems/01-Binary-Search-Tree-Check/01-Binary Search Tree Check - SOLUTION.ipynb
similarity index 100%
rename from 06-Trees/Trees Interview Problems - SOLUTIONS/01-Binary Search Tree Check - SOLUTION.ipynb
rename to 06-Trees/Trees Interview Problems/01-Binary-Search-Tree-Check/01-Binary Search Tree Check - SOLUTION.ipynb
diff --git a/06-Trees/Trees Interview Problems/01-Binary Search Tree Check.ipynb b/06-Trees/Trees Interview Problems/01-Binary-Search-Tree-Check/01-Binary Search Tree Check.ipynb
similarity index 100%
rename from 06-Trees/Trees Interview Problems/01-Binary Search Tree Check.ipynb
rename to 06-Trees/Trees Interview Problems/01-Binary-Search-Tree-Check/01-Binary Search Tree Check.ipynb
diff --git a/06-Trees/Trees Interview Problems - SOLUTIONS/.ipynb_checkpoints/02-Tree Level Order Print - SOLUTION-checkpoint.ipynb b/06-Trees/Trees Interview Problems/02-Tree-Level-Order-Print/.ipynb_checkpoints/02-Tree Level Order Print - SOLUTION-checkpoint.ipynb
similarity index 100%
rename from 06-Trees/Trees Interview Problems - SOLUTIONS/.ipynb_checkpoints/02-Tree Level Order Print - SOLUTION-checkpoint.ipynb
rename to 06-Trees/Trees Interview Problems/02-Tree-Level-Order-Print/.ipynb_checkpoints/02-Tree Level Order Print - SOLUTION-checkpoint.ipynb
diff --git a/06-Trees/Trees Interview Problems/02-Tree Level Order Print.ipynb b/06-Trees/Trees Interview Problems/02-Tree-Level-Order-Print/.ipynb_checkpoints/02-Tree Level Order Print-checkpoint.ipynb
similarity index 100%
rename from 06-Trees/Trees Interview Problems/02-Tree Level Order Print.ipynb
rename to 06-Trees/Trees Interview Problems/02-Tree-Level-Order-Print/.ipynb_checkpoints/02-Tree Level Order Print-checkpoint.ipynb
diff --git a/06-Trees/Trees Interview Problems - SOLUTIONS/02-Tree Level Order Print - SOLUTION.ipynb b/06-Trees/Trees Interview Problems/02-Tree-Level-Order-Print/02-Tree Level Order Print - SOLUTION.ipynb
similarity index 100%
rename from 06-Trees/Trees Interview Problems - SOLUTIONS/02-Tree Level Order Print - SOLUTION.ipynb
rename to 06-Trees/Trees Interview Problems/02-Tree-Level-Order-Print/02-Tree Level Order Print - SOLUTION.ipynb
diff --git a/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems /.ipynb_checkpoints/04-Implement a Doubly Linked List-checkpoint.ipynb b/06-Trees/Trees Interview Problems/02-Tree-Level-Order-Print/02-Tree Level Order Print.ipynb
similarity index 57%
rename from 04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems /.ipynb_checkpoints/04-Implement a Doubly Linked List-checkpoint.ipynb
rename to 06-Trees/Trees Interview Problems/02-Tree-Level-Order-Print/02-Tree Level Order Print.ipynb
index 19dd3d24..62de6e6c 100644
--- a/04-Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems /.ipynb_checkpoints/04-Implement a Doubly Linked List-checkpoint.ipynb	
+++ b/06-Trees/Trees Interview Problems/02-Tree-Level-Order-Print/02-Tree Level Order Print.ipynb	
@@ -4,9 +4,26 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# Implement a Doubly Linked List\n",
+    "# Tree Level Order Print \n",
     "\n",
-    "For this interview problem, implement a node class and show how it can be used to create a doubly linked list."
+    "Given a binary tree of integers, print it in level order. The output will contain space between the numbers in the same level, and new line between different levels. For example, if the tree is: \n",
+    "___\n",
+    "![title](tree_print.png)\n",
+    "___\n",
+    "The output should be: \n",
+    "\n",
+    "    1 \n",
+    "    2 3 \n",
+    "    4 5 6"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Solution\n",
+    "\n",
+    "Fill out your solution below:"
    ]
   },
   {
@@ -17,8 +34,11 @@
    },
    "outputs": [],
    "source": [
-    "class Node(object):\n",
-    "    pass"
+    "class Node:\n",
+    "    def __init__(self, val=None):\n",
+    "        self.left = None\n",
+    "        self.right = None\n",
+    "        self.val =  val "
    ]
   },
   {
@@ -29,17 +49,9 @@
    },
    "outputs": [],
    "source": [
-    "# Create a Doubly Linked List here"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Test Your Solution\n",
-    "Note that there is no test for this solution (because it would give away the answer structure).\n",
-    "\n",
-    "Check out the Implement a Linked List Solution Notebook for the answer to this interview problem, as well as the answer for the implementation of a singly linked list."
+    "def levelOrderPrint(tree):\n",
+    "    #Code here\n",
+    "    pass"
    ]
   }
  ],
diff --git a/06-Trees/Trees Interview Problems - PRACTICE/tree_print.png b/06-Trees/Trees Interview Problems/02-Tree-Level-Order-Print/tree_print.png
similarity index 100%
rename from 06-Trees/Trees Interview Problems - PRACTICE/tree_print.png
rename to 06-Trees/Trees Interview Problems/02-Tree-Level-Order-Print/tree_print.png
diff --git a/06-Trees/Trees Interview Problems/03-Trim a Binary Search Tree .ipynb b/06-Trees/Trees Interview Problems/03-Trim-a-Binary-Search-Tree/.ipynb_checkpoints/03-Trim a Binary Search Tree -checkpoint.ipynb
similarity index 100%
rename from 06-Trees/Trees Interview Problems/03-Trim a Binary Search Tree .ipynb
rename to 06-Trees/Trees Interview Problems/03-Trim-a-Binary-Search-Tree/.ipynb_checkpoints/03-Trim a Binary Search Tree -checkpoint.ipynb
diff --git a/06-Trees/Trees Interview Problems - SOLUTIONS/.ipynb_checkpoints/03Trim a Binary Search Tree - SOLUTION-checkpoint.ipynb b/06-Trees/Trees Interview Problems/03-Trim-a-Binary-Search-Tree/.ipynb_checkpoints/03Trim a Binary Search Tree - SOLUTION-checkpoint.ipynb
similarity index 100%
rename from 06-Trees/Trees Interview Problems - SOLUTIONS/.ipynb_checkpoints/03Trim a Binary Search Tree - SOLUTION-checkpoint.ipynb
rename to 06-Trees/Trees Interview Problems/03-Trim-a-Binary-Search-Tree/.ipynb_checkpoints/03Trim a Binary Search Tree - SOLUTION-checkpoint.ipynb
diff --git a/06-Trees/Trees Interview Problems - PRACTICE/03-Trim a Binary Search Tree .ipynb b/06-Trees/Trees Interview Problems/03-Trim-a-Binary-Search-Tree/03-Trim a Binary Search Tree .ipynb
similarity index 70%
rename from 06-Trees/Trees Interview Problems - PRACTICE/03-Trim a Binary Search Tree .ipynb
rename to 06-Trees/Trees Interview Problems/03-Trim-a-Binary-Search-Tree/03-Trim a Binary Search Tree .ipynb
index d3f5b43d..85791572 100644
--- a/06-Trees/Trees Interview Problems - PRACTICE/03-Trim a Binary Search Tree .ipynb	
+++ b/06-Trees/Trees Interview Problems/03-Trim-a-Binary-Search-Tree/03-Trim a Binary Search Tree .ipynb	
@@ -26,27 +26,20 @@
   {
    "cell_type": "code",
    "execution_count": 1,
-   "metadata": {},
+   "metadata": {
+    "collapsed": true
+   },
    "outputs": [],
    "source": [
-    "# 669. Trim a Binary Search Tree\n",
-    "class Solution:\n",
-    "    def trimBST(self, root, min_val, max_val):\n",
-    "        \"\"\"\n",
-    "        :type root: TreeNode\n",
-    "        :type min_val: int\n",
-    "        :type max_val: int\n",
-    "        :rtype: TreeNode\n",
-    "        \"\"\"\n",
-    "        if not root:\n",
-    "            return None\n",
-    "        if root.val < min_val:\n",
-    "            return self.trimBST(root.right, min_val, max_val)\n",
-    "        if root.val > max_val:\n",
-    "            return self.trimBST(root.left, min_val, max_val)\n",
-    "        root.left = self.trimBST(root.left, min_val, max_val)\n",
-    "        root.right = self.trimBST(root.right, min_val, max_val)\n",
-    "        return root"
+    "def trimBST(tree,minVal,maxVal):\n",
+    "    \n",
+    "    print(tree.left) # LeftChild\n",
+    "    print(tree.right) # Right Child\n",
+    "    print(tree.val) # Node's value\n",
+    "    \n",
+    "    pass\n",
+    "\n",
+    "# Use tree.left , tree.right , and tree.val as your methods to call"
    ]
   },
   {
diff --git a/06-Trees/Trees Interview Problems - SOLUTIONS/03Trim a Binary Search Tree - SOLUTION.ipynb b/06-Trees/Trees Interview Problems/03-Trim-a-Binary-Search-Tree/03Trim a Binary Search Tree - SOLUTION.ipynb
similarity index 100%
rename from 06-Trees/Trees Interview Problems - SOLUTIONS/03Trim a Binary Search Tree - SOLUTION.ipynb
rename to 06-Trees/Trees Interview Problems/03-Trim-a-Binary-Search-Tree/03Trim a Binary Search Tree - SOLUTION.ipynb
diff --git a/06-Trees/Trees Interview Problems - PRACTICE/bst1.png b/06-Trees/Trees Interview Problems/03-Trim-a-Binary-Search-Tree/bst1.png
similarity index 100%
rename from 06-Trees/Trees Interview Problems - PRACTICE/bst1.png
rename to 06-Trees/Trees Interview Problems/03-Trim-a-Binary-Search-Tree/bst1.png
diff --git a/06-Trees/Trees Interview Problems - PRACTICE/bst_trim.png b/06-Trees/Trees Interview Problems/03-Trim-a-Binary-Search-Tree/bst_trim.png
similarity index 100%
rename from 06-Trees/Trees Interview Problems - PRACTICE/bst_trim.png
rename to 06-Trees/Trees Interview Problems/03-Trim-a-Binary-Search-Tree/bst_trim.png
diff --git a/06-Trees/Trees Interview Problems/bst1.png b/06-Trees/Trees Interview Problems/bst1.png
deleted file mode 100644
index f4a93b03f362f40cc5c52f7a251c36a70131c638..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 61595
zcmY&;Q*@?H({*fPCbn&3f{AV0c5;UkTX&3!ZQHhO+nHEjo_DSP;9uA3lk1?myQ-^d
z*RBdzkP}CQ!+`?<0YQ|M5LE&J0k!>JI51G(f7U3Vv_U|As#=POC`gKk5Ggp>n_1eJ
zf`E8{E&|LoFvjcMr)~6B$QiMdGo7cf$s`j?4l*^JP(VRp;lLtbsNiTwXu{CQ!vjbN
zL@`uE$-^KNnTe>Vu5*qvzkIU2uA866*WYZW?aRu_y^45L7D0Mi_wX?>p;*CC2vDW#
zIav$ZTG|vHl|h7k5q_a7bodzOA=ubf_Izn|$r9B`0O;!T&;2mpvaw}+KbgBgel@|Y
z4>JyN;`MTZ{6X}|x2Ofl;Xrw{5VpYxn0-Q-kP?9k+bPAzdxoyQGRWS>3jCzsx3Gr*
z2>}P;>ulzvM*#sc2^SB&L6LY$41pM=k-i6zf*3do)l}KXH4}nl9)?A^cz7Hjbp;wY
zW`E^T-gFz-+h_Z^dU`>BMt<?Z&!L^JaB)%4Oz@sQO@58j@X;Xw^t<6%mFC5RF1KnC
zAzv6@0l3;E>I4U0v@{pZlPK6><AO%9;KJ*@bEpFCwx2_7plr%s5Tv%m>m?ff_)#6K
zR75mOOSkr(T267Zb`bNV|BOGGDZWm)(f4d?jagZQ?TZFiuZ3!u0^W@F@MTb<Ca6wi
zo#OKEw^{T*-lM;Y`W=4Nl)eyRr*d;Gc^5OP4IBmJ#wYU{|9TBj^(Th`|0F`1iQ@qq
z0iiX3i2ABB{RMI(#&rwB2o)6241*-DB}!sTf-3W&J$2HpDC5@*FS_=zjZ@n5Gd}vQ
zd0MbjF<#(n78~Im<sEqw_tZGFnY9gTdS~M6-%IR3OxJdPynUQLaQoF<#zL`yL<`b3
zY)R-mj~xV4R>&C?yMaXu-}cXvh&3@Eq5<3%Q9Ae+_I}Lg&C#FdyAd+kVxpk-`wM|D
z2mg8d(;dI-uXUJTHzQK(V}hh0L`#CGn$RFvzs1OB1Hc1~N})!^9#V?Z#h=Hdlrax6
zG2B<awiEyIpHCZfuY7Gq5{>nL&5&S%%&e>$BYlP*J%IjcLNQ5W`3j|2g8~7++YzDk
z-nY2*`<Ls^fb~oCQCO`9_W2JAiuhJNi2|h7FTzw1cmr@ef7+X0NAf5v(3V7?1px?g
z;BY;P4tOemtQ6oG0%&uv8~hm@;1L20nc#+c;h7MRdU<Q$y8LBf0vu3ajr_TYeI+1(
z0T{%t5<gk|D~P;CFz*7ua$%^Dq=J!zAr)X%K>r4x<ytF1yTIcF5C~1@Vq3tzB7FQ&
zWa6KIyYI`Z!K*;R?Mbd7?LbBf%HK8Nf@cUC-^F=m*?`*)2;Ft`!10By&IO4;`Yi;T
zW1?_IMVg2>hKTtmFLzGirG!NV@r<Sn-Sy`K7JIaokdL_WES&|77F1es`;6C2*NKG-
z&MQ+Jm=Ee^L|341RF+V6o}Zxv7C{t-7`kzcV=sge8WVRa%LJqhycq~<Oxmz_zfmnl
z1(q6OJN$VBVsDWFva!4&ZmrLX_zL$04pQj;faI==0|%GA4jluuJDNN8awKm5<UYrZ
zi-&Iq$ri?SNNkV!-uO+*4gWLqJD6`mj|2*_1)2?vZxER<>MmYx!c82L{0bQh>R=d;
zsJIafbD)M?hZG)>9BTK>>@4h@<;?0V<b2_L(mea@W`0KQo7}VvqoloPcZxtvS6o+2
zSL`SE$4|6yGO0Pr)_5by-~!J%+d0}fsI*`@X%5P_c;q<R(aHnnJ7_4dK$t+#Kxh#b
z5$t}~kWd8LC<rk{F;X%6A+{l@A*7+=C~Fxy88{gZnO&LCGzMlwW_p(W)Zb~csUNBJ
zsn%)stkbnQ8bKOS8s3^nb(zN425IJlbrH4c^&vGsYV-{84RuY8&6LfYjigP=P0r0S
zigKv(Fr1~Z3d81P(sJGnj!iiYp3J9>yT=5Ex~6(3bEkKw<ELjwn5S+76UHq2u*Wnf
zR)=1I@RQ`Dro%}+uIbi)tb;R>v?JG3c(dEnynxV0@dvfXlDnmcfS&rH@nP#B+(9qk
z6UQ|iVX%BQW6(90KJqr2AbdB2AJZ4}r{1S24esI}95MRht=uZO8<-2UFmx_jCXyOz
zDvB0yCgmE%n?e*t30<mRC#eeEGi6NOHH{8s4uLlXFhZibWD*BKBf9afip+}Uvm$x6
zd67nVMn^`YMu<krdt{FMw-&cJx0Glau&&_>;mT<Fz?y;xlQ@&Y0}*NsDODPcv&02b
z%czDBmmrtuf6CaN*x+d%X;5j{nh_OAHbpiW7tq{>+?=gOt?f?T2dW4C2h*e73I=L5
z3L`2fD$f;Er6=VYrO%?_1tw)Kze;sa6Y3J{y6-Fx&1vXpmS{p%UR8a|%1Y-{s>>Kk
zVaoxfs-^s@=BmxAf)&2<;Q59nj=%Dy_uGrg%qq<4kHqP*D-|lGwIbJy);`yc8;)Hd
zTsvH+&ScJ&TsvK+Pvp*FPXOnOCzEIJr*EhFGx|(%OfbwXHaEQrTXAM9MlE&)mJQn_
z(^#f9W|{VUMtwGQ!v%c@Nu@cKIhKK^WoZ$b5t`c!6Aa_JgY8-A_vvrx%Nf;LC7Kt_
zEyj}erv{pa+}7llzw6H$LMrJiq$`WvA}?ZAHqF3oCTyi__0}R*#n!hP`qx(1RM$Ei
z)obJ%yU%;}c1|5ecQf*HjpO$t`S-l`9{=$&b6vWYxof#|xG^|pxy3uLUb9?`9pYT9
zU4=M1JGJjL9og;qZut0Ck8NdkqQ4D1l3(H8?cBlKpFEn}{Cn)U3chuEY&&Q?wB6U;
z?>sWTQa-Fdvp(?Zd-|K*wawg3?uY+{_7x2B_Yd&T;IF?ub3KJbojG+mNe1~l5j*n4
z?ZRauOCq+y=fchXnf*BZx4U|~_^1=8xv1_WFC^%sguf+!ABxI~TZ<9K>J@6vF%0}-
zeluD#)<iwN5z6$?aodpTu=6&37Yk7Cdk`%e2pfQw1WE!V;YW)`kCkVryQn`(!Ah}9
zS>F&Jvt<M4yysq#Vem(In6mAXeVGGOQPXeLi@ePwkCp?cpn2;(>gVc@>L%-OokqAD
zGK)hSkW`QJoCBT3?-K9ijy}eo#=G^2^cB=<TvwiMK1kuj$6{@MLSe*Ul>YcD5W$b*
z=#r;V{cHrQEa^0=Q|fAY&U{w;Zmb{cML<ZS%up^M#E0r`)V5L9@lkLynorqG6F@UW
zi%5%G?ooDEwj}@Z7l*gf@70Rk-c{%!mbKSB>n}U+x)!OHvRY(ibhVGy)al0N{n_z3
zqk}G0%S}B)p51HS#~|;6)x$%I2LmR1527QYbjp(+L8p;-;YZoTVtsVtPyodY#&U!A
z<oTLty{Yq;>%+Oaeb`2cm7(RReXv%7mil_YTG6`hI-#qE%RhH3*QSlcPR(WV8P(Ov
zCEW#)i_x>yE7>dE^T;#pR!k4;s_pu(LEDsd`Ky&pZ0s7m7ETKukGHDc%`GpUr?wEb
zP@b#uZF^ibd^?|<yPQMDq;4%S6>%-XGJYGvMXXEjf{zk&8T*SR<Ne`4`H5_V*lPkm
zwp#PO)%i~O;_MfGZEu3d_j!}|gQLiQ)DtS7(nBex)gF3_9myV>T$MbV{KkCu21|yI
zgPGSG?VQZ^O-J=xz^!EZ8^#4j8U{D|G=^w~cE;)MNYCb0;C<Gq&m#0KGN-_qpLfk!
z9nV+zqvhNEE@P(tSr?7prGCAx*8~0g`jO`+)bY^Z_1X6Ir^9D$O<GOxI?WgLZT)@9
zVRh-{&E+MPefpEVK1lF_!!Hn!?DIIRKFn}@F;F7l*8oO0d7J~Jun9_(2p=T;0C;L3
zS-f*Q@==iSu4E$j8OIvJ2LyVIY2V|%(rp_A-Y$7<U{yp{n2LCok%>v2$&@j+k#XLI
zY4=3<(cRJ2QQ;l_(KgBrdM3seJqsBHr5@F-+?Y<A)=@@g{5xu}A~~=wS1QUXNh|xc
zVMw0d&6XM;Q5T)x%SS&DtDi0(eF%}FvnX~l+09nFMpH@~TeJNdsVTg9vWd2~+Rehj
zMnvtS=00`Yd3o8+`6|+D`&#>7>K)$g*@N9b?n|!$##KS09tH(k39eMUclra@69WyO
z=lHM^iBPIWi>ed)wer-im9>_O=RXklqNQX;b53`GiA4){ADWi1(0TKg*rRDL(9>qF
z=G_9KBa2g!W7YJjT*7n<3~+*;Z5{;&$IPeuSEetNTI0pECp4;MeDa5X?W%kof9R4b
zpSxW3yhQ#aShQVGX4GUa(6j5hD^;v7Jy{z*zv3ilT5I4xow<tY)ZAuY6j?4`ICi0J
z6MS>K{afc>*Spu=`h<jp-{xoXJQ8@(Z6uyaI3}=xcj=YLQpEFkc{@*uzmJLjmhCCP
z>dn9+nd<$uH>)x}9-;oG?<I>nEiu6|<(uvGW@hAja#<Oi5s5F2KYqN8SvAo8^lWga
zXqDvXdO3e^oW*F~ZB`BGQ?HY<Zm_EHCGe1MUvEZxUi`(lZ`*rmJMgK|6YLQhZUAz7
zQjwECW32&u+u4=Fr-&Z5{0|L1nA~{X;nRcRoh&y3OTt{DTEvMAnz?{A%dl;*V_<B^
zOh(ek{@{6pd|Y<_bT5D3Jx>p9<p&GO6v`>)CYpKzOgtYsJKcw7vaFn>Z%RPBQI1lB
z6L8FT(WDW@)g6&m7M~tqD}>LX+i`{5`Si*PwIA{n?HN^_v5=OWad;)ggk0y)xM5mo
zN8gk&31xe~=(cnf?~^T(uz$+mD#tuUz;IM0W!G_~@q|1gw|%L2o_39SdU=w6A$`qz
zzPziCfr3(kKY;O%<JnBYvBWRcj7#KMM^xLyF44LHgN0GdXlh_?FKTaf?<X1$8Zsq-
zY`nOKT3#9V>1RPO;YxyCW^P)kqXMP1dXu!=K(0vZ@x9&gG{!qmpK^)ffeTyFv&HD)
zT&}VG_zpVXVHxEmO&=|M8ACP>|Hoz2j^=uLU?cvqfNor6WS2+2Z>P|{(^*oM*o=w8
zrNMm<qD-WwwcYwAl1}mH<V4lgRdr{c4^p$ztNeBsz}(xw(&2-^GwiUdr)C5EZ+C^*
z1_4ww1>YDp?`O-A<i5x9z|4HO`TcZv*Du-HE(}27=b9CdLy?=?Y4l3R`g&%tbfkNV
zSu&^E$n|f56CW3S*)O)&->256Ybma8(YS(K9QDl{zU1#sf;dc|k~O#mfdT{7%RxrD
z99SWhyR0`9W8kiYmC<&CCC0C{O)K0wa9Oy1DGos=(#5jVvR{#G(gbD}hJ4d1Q#vES
z@$|`L5o!a*!;&ML9joK3qtm0y-Sfli+${_XR2vi?avdTx$~JWweH{fbiH<m%1e!QE
zVD1>*c+*JXxHgRfh8YHK;$Gr|3JguGs(dMADQ&sE#Xk!(YfURwYx%Q<laLeYGuu;S
z91PqmRv?=eXP2##$(bF6*&{$b7SI)(Q26JNw_NS~-=-P|Mh5meR6CXzJ@m?Mm+>e8
zCuP}uz`be;mpVP?itR|JMRmWxSl2N@Qr26CN2i`=_TB37_&)Ec`qec?584e=4bcc0
z7STPqfC{k-c?H7;WdP-#rHSRjm4){|dM&3Yr3tBv7p_>3$LCPkP_zd$PGCAPP`QM9
zS~>R8U1nb<LvSX`myVR0b!TUbZrSDu?@Pq7broRx@)J%A8JPf^F_ZCCD~iUD8k3L0
zPp5w3B<OeRrsOhQ_Si@nc(IhceiebheXUpl$LYoiWNlkRBzlSoP8~ycOW927`oA*G
z2hZN<<w_~r(6wToB)cQ`$w!N)<R_nV_l`{#A`XwMtcjT(hZFriQrdj?;VS;pYzt2}
z>$^kg8!g|WE7>XGPp5V05cyVXJY0J1Dc;Ag1no6$^qMk|%xv(UQ#ug0E06_AP$H%9
z0@*n4P<mJpaYPW@AD|~Mk|1fiA5ZT@pv+`r$RMF{BaSc~fg^EX4bV~{azeT@@D}jl
z*Z&L%xuCls1cSQsS`?v5h!zx8psjw$h8`ey#D!Jhe?av|&Gw5LOc@Q;idKMfpsq*h
z_J;3+Il8uxchCtSZA<5nwxBYg6X(I#rp3to6yg-Cmh%e<qMVhe9{F*A1mze4Cx&JW
zwa=qWhF1N|(rtEYsA+&`{xOs+M64`VJ6^ke<Z!I9Pj{rW<2muSr+=Jv%qwg<j__tX
z&kSAz-U*HYZWDvy2P`T(COT^IPyK|{B)o(+(oJe--6qK@#V*ZU-CB7|jhCb`O7;ex
zjF7mZsN{gAj+g=l)mTl!r7w${zMAEdA+BYzxrM<Ahm=h2Y{)?JF{gg3MNhy}$7IE2
z)F$qmJCZ)09}jBgs_uXe`$om4&r{I_@6~Kjrt!7UNSBmv)h9HV6*zRjQGj0vODJrR
zwAhH)n5d*E{2Uc?P%2@q^sNr;Qn;pM=V-T*>|;t%r*!jF3qXOpoOJkoMrSJ*%)eh9
z{vom`GE!PM<~);0FinBmA^i=Z6{_mP_tSYZ^ff6YiIxy|x$2|C-~P}p<(%!x=@RxT
z@>;$<L7?SJ@BO0&T8|Vm|I&DTA58v<zuNcqF{#gG=;FC!LHKH}FJd)RIvcCIprUgd
z=DGHU_3Y`h7sSLL9~fN*(z$~u8fpT*kxNImM;IbNGTTXU0eRdfd*h4&7rv^ixLRUe
zvTT7?S00o{JL^Y$+YB~@tQ@@Z7t}g<vVW@|)p4l>ZG%h?LcaeAohpc_k4P~rRWh@<
zKIgn3C9j&IHXbRV_CN-zC$2ZlXu_0)^{>GX6FZYxb8K@&^ZvR;1q7=43vN6XJoHR#
zojaZRjY7V5kJ*k7Z|E1<(tiuE{y4o@#L9*OyNL0yvmCXodz54m<nV=Xh0-Q8CX6GE
zBiqUzg)LPRMR}!X<!U8cmA8u0qU*}VN>9N8+5Xvv`Ljjg;g<fZHQYnOlXJr~!>@f;
z+8hZ@<&PH75%~uMK9uUmSScjS<#wc3*^i2RE_~n}5uIM%0?)87?GPA{NKhXLib#k^
zy!f9~XfaArk9n9w8&SGZ<`N3h|D<Rn?Bq39rnAg^4g5Tvhwg-OD|}Wlxu>00?{)6w
ze|B(_D5q+$X-p`hX}<2Xcx#$+znJKe`z+qh8!fs|LoLr`TX*faq3Uig>;Qsq&n}Aw
z%v#SQ>0NDm@mc<6xAS<hyj8re+D{|0ZOY=;VI6rh@zfpfZsZ>fd&`Saz-4jEM92v-
zn(HG^u}xr3&i}wmZb>OuAK21=D{1GsTfHA2Zv5vO5}hFU%u(*=^g;7#>*r<wk{35I
zD^e4^A^^ezi}*|5Kxl<vbhn|GR-$SMQuA8G0s|-_Bi5X|%tVvwA;bA2u(4OoD8*5$
zCBNl&2lFQ$sC*cS3~FVVkBe1UA>t`voQ~x90UH!Y2!$B#ki3lPMB9WkU9krKiiFJ*
zHQ+)GZvrnN^SISw1B#E1@7e?UW$N}=K?D*H5-|uPcu@5Dck5uwKq;CM5JxF_Zi}U~
z4%2D#&K_e_YHf@ysl1GEQI(B_ZMb33wa#VxOdGoaTM|2)6_cr)J*CE?mZizp4Bb@R
ze*54grefJ{*~9&?6PLh8Pu!dDT?PCEJR4d)C_R+^H`#By-@|i9#<u%aluYDvz^np`
zqAb~b-ni7RxKpPap(aB)^C~AjYyYX;T;b(B_d&}-nPIE3138z>h02r4Ie|s3Xl`TI
zM~}&KXW%h91A>l8IdaPaAkBO5+DaXLy|LtI7k5wM;J$0KD*uu~UtR7gRPVS;`$MTY
zc6*foq4mu~;>))md`zF2^hvyx5HecVw}X#?ZTFq+es%EpiSk(ArqjfG@Jq`|%T&x+
z&0X#*`m^IodlItocknlj((8WUE=`MnjV@5)t?}aFyZC^9tGs;thcQZjt@}zB+?stG
zp?k85aAjxp<hkqk?JTxG!zklJn?M^^P}*<w1841Vz1C0W&s;VHov3|S0inLFy&vlD
zfCw}Y-yin&_DeSQUlqRt5D#!A^jEU4F}tU6$d2`bXTFZ_{6Ms~ef3H!FCD*mc31}q
zO=l1gc=Z1kC`fuH76=Fth@_~HiU;ULCu}p>uq%Ow^>#`#W9RiRP7otv7!(NDxI_~x
zHa)WSyAhlziN`c<=OguJ&S$*oD1Kwjx{^g;N7#>+03soffi(>r#DAZ9?%h6>KGo^h
zks~EzW$M-Kpl(m+Pc(JydM08+K-c^6YP+o#$Nu>~3b%T+n*V((m}oaw5#<d(xo6OF
z)NTPP@XFIx<lu<e{7;AUme;M?ZSGxh#8${%z)-(en@Kb2vInRsn?f_?Sn73_%LmIL
zGfmhF9N1^~$)q)Sd@R@*qhnBM+`KBzbfwBgQ@cu{`f|wC5mj>S5}LXy&fhphSAUjC
z1xko||L6m6bE3#ZoJ{B_5>CS);*Rg#{-Fb#Exinath!IK;{Ob<H9SppZanA@SoDP`
zEZ38_)&i5<%~+g_D`^mK!x>Q^m_x}h5Ttvq6F^eagJg`VIdO>Y+7ioEOBZS9O4P_s
zY{zzM<M@0`Bp#zF$gtt5xl6lp0_^j9u01u^7;D_g4J5s;x7KwZCM`CYAb6USQ(~*C
z#-^(e3zVM5HF&5+MhgZ=4N)4FdSo^4$tRgdQ*9e>s<$j8n>2uvHgd_F^(+{cWB0>A
zr`MY>nF8aovc<M&2-`MovTwo78>Rf7f9>k@rjrgI?&0rnMzp*gxmlR$N<CyyUC}S3
z-q^oxznU`gi*V7Pha;EI6L1=C5aXT}4_(8(#_urWo>JuHCHe4FWHs-$)bbt&z$rkb
z*N|5bu?xnTo2=Igru8&|U%qaVaFwZe*#s#nba@EVh;j6=i#BA&zyDq0<F!v^IBk|T
z#lQIoB-)N@aWJa?NHL+&NznIm(wf4<QyipsbeEna;7>)XDflqhO5yiY4I!!@jCjAf
zKm@!vDay&nk9+Xsj<$uPiYbqfBO=4JLH5}dbGd6zaXetIM?M=u7ccobyNVpC|2))2
zE<RKz5X`YTI0_w5sVz<F3H;xA*YL6boadJI!?O;JnF)P9o2#2L5GKxtK1#A-1Y!3R
zTaWZ2NVtjafeP_rT#~qGv?`k5o<a3DpEuy1S!}&1X$quv6352A9W-YPl8jnNSnmJR
ztIhb9PW7KQ_H<YKmrY>2ko1VZt`2GE;0g{8KB<4V%A!5~sJoCKikb6<2A;*)b2jEf
zzCS6R4<YxwsoRh2dZ_w71?M~bjMCcc0v}x?;U)c+#!LF-f3Zk43~$Z-!YSB6=RXpL
zmw}VQBSXw4{iilbXJH#@xv7$@$hTX?dJT!b`P>SBgWksY)1g?e1z|4otv`)BEhh2c
zsmoU<1PxVs!>)Jr16m9$xq&cMySABeK;h1+i0JD|Jf-kJa_rV8LFw3Lh+|Y3if&}`
zZ?SV`HxhIGpNvk~G~4ssKdmqcJgy!R&WQZ75*w5W>@Sa;auNtx<RKff_Z*FAE0(Y>
zMd6qKl2$&S8X!gr$z?oW811LV%;;&vizybO#G;`4_;z1&@S?~z0ay1#R>_oUB&P)%
z>ci{Hhk(Tt$@pGlHJhH|jHNVI=%-QWa)OsF-ue-1o3C|$tMAyb0t>4#w*^~@tdUKo
zVaa~@;Cz3#B`gwinW4an6<?TWn&h<Yt?}+gn0Oi2N#W$YVR!uFk~-V|m=9l-&5>2)
zpf+&+u74a7a6C6h&-Mx09{zYPz=T#)D^BpO3r<GSjGv+m)3zh-f_kBdZy*%oC!-8(
zk~YkOREVCqxX@`E><XnDpF|w0T7OAb^AVgkWSPcSH&$y3%8jb#=YrhuVIU56o(tZW
zpMD&ScnA-LqH9;rvsoz9`oGbEmRoL{`y(s4M+o!+gOybEJ}ra-cG-;lL{+>|vaElR
z7Xil`K<iYgV-_#O@$4lRxfcxii{*HKOVi2E*>N8?FPLX2l&}6&cHJtN*oXE}5!%Qf
zZBgM<1ibWfmo8fAc7swGankzZC;TD5#7F<wy4JAlB<h3bR6D$U3Bkj{SDGJXuLbHf
znqA1bQgljg5Xuhlh1wkV`y~3y23=at!#onJ`TmO$SU#0csN+#Hbpb3gtaA{e@d~_&
zi62a!lef0Dl;Ru!+P@=f14ISDr1-jr;4=GN%s$Gdi>_KvM?7qy;rYW?bi2I2540Xe
zW68FR$>>Brl4m(rqnOH?w@}w)t-H$-zjWSGotxmF4#Fl1Y3jv3BKbiyJZ)GYP-)qo
za<j$6(%oGYOl^J(wH8^pc*aV|yIvZ*wPr0bUIi>@auCj9cxgL3{B<W5TU3Sm&a%iM
z``A|<o2`#!!aBuyk@?tjdLO9rC9_W0u(-4{n@W>E)oenN1iY8VOw*hwAtX*$xG*EH
zNkFSff0UE*i+!}Us8p*QZC~a<QDP7AAoRt&ZmXPWa;Jj8YZ;xf{6&uEalk!a5|4d9
zI<m5%I%(;?CNM3qx{%z&GkK3k!FWOl)&eRf0y@gk@8s&MEO&w1CwanM)vMqx=(a7j
z<15hveEf*JBYFhgTOUa|m{Zb3D<xhD!`;z1>o$>-&Gd}r-lSV|JuuP;byoG^ymvc1
zuRp7{?B3M#6938a(C|}gTJnd`Hi1W56#1T$ouh76&p=K%u?KJ`(NeqF<Vy>7L-5-v
zy8P-0GP8cU$;SOV46eY)@Wl?XO$GN#|AFr$x_8ky-v#DWn@>IMgonYFu%In<@0z_x
zUy7&B;l3$V$6e_AQ|IGk?Um7XJ={Tpfsv$u7EDLBV86{C=i>5PS>WH1xD#A>`&<{O
zfE&$|3`Z-m`BP0)QoDvkwm%W0@6sdIRF#~b*<JO>tAog{U}#E)fE<)p4P7^Uv*lG0
zVv?0A^s9N>fCSb6q>&m_l$?&n{dc$EAI~Z=`|SvNLvn}Z@6_~G6+XvdLiTHpLEWk@
zv(kuO+@gr9HyBAGi=GmTLwPNR{iXF}elU2U5R<z(Et!8Nbq<XXhgL0JNo+9(d9|iv
z;U*l4KS%v1alTG_+u6`2C2v17qYQJWbCgbfEn75?q{X_r+SncBb0#G^=u%ySZIH?Q
z8_joweNx@<>SjG0M_7O0(fQyQM}!rBkEr3c-7vHzhd^U&1xAe}l9e<)BE_~LVMx{y
z=w`7PoRDhNJU!Rw8~Mt%r3uRlWK~N+3BpY56;+F0yMLw&EKUb7<jbAy%W=B`=Kk<Z
zYXT!*I<(lhRwK^P&){36*L`UHy%_)7TyF?`F|cSg+2)8AX#ZS8kT0IVA<qS23t_}&
zkWlt+m&NgWy?7*HFny#n5cMTm9Gyj!zP+>Yz=DU-??Vw*5dxJKm(YFPW^LE$z!=$N
zV_o-}8Ggn!UOK7rSWBrF7lQJWh{B*<z1^7HLGT+}y!lFbp}c}g0}r@dJ2jpp(CEq=
zbZZD<XXB_wo#BPH)C6***c9&G4&dMNBWkAo(&L}h&e3q;MymxdQu^mnxjk~J2-QUU
zc2pl{HCKngm7yCg(=`nKIWX)rEeALW#JSZjDJieLd{i87+uA47JH-BHTmo1(g$#1)
zgoUzHiTOVq(q(FaaS@fg|4wcSNsHt@FAs`}ngbg&!IPa{Fc^XbTND#!Jf*X^F%r1w
zerj~7r<JUdQ){6%lnI?T2yiS+s<l-IbGNx(IkNgPx~6)ZrOu9CAFDRDji1gvRwwmz
zCVdA%FWPN?tG_snuYVS-Tv6~wVvB6h2}Nh~`=>XL3@U?pi|y!H|0z~;6ev)FLLZ!)
z@6Ev^lkuY_+_s3rrIk$>{{gPC;R*h#3<3UC`S7TLPl(;5->|k>pMqUP8r=#cBvokn
zWH%uF&Py%V-yY(#{kv<KH%JeD?kKbgr4XC;jq!>1edS0lBJj~PR8Lo>3^G_5UoM!I
z7|F<i()+<%Y;M+&n;j>?j}OD&GrEzWp8Vx=HEP1B$s3^vbsw$-S1Bb>NPaVgBmRW-
zRf~uJe3XN)_+Dc$@w9{8Wh~>-*6Q1!|LN9O0`TXRC`l3h!P7vvCv>eU1>6^DxRLVr
zoyI+-(lOcL!P+5lEM~EB%HSe1@PWk-E3=P@$ys9t{chZ1gR<)(oy2{S4mRZ>Q`U0S
zYCCCMcd><GL16#l21Ax~BT8LL9ny8^vlgvI5UoaJ=Sh4Dd=dV15_uVMEx9%7XLwtu
z62jDNs;R_*%=)p6z;vr1T_`dj;c_tm^d&osAUSkiKvQ#Kobbcuw_c}zy!Zg@%i7P7
z!;F1_RQVakb+@y!F3(5VZYeLbZK{f@$wXrxJ?I$j{Ddv4wTeK5|I$qyL`6}jNWgaa
zrd9A_pd^Dp_)EH!$e__Nl28KTUwgZ`$J~V3gzIE<bG{#CvfKjLas9?OUsFF0<hMsh
z3XPPvw92G*1|0!zBt(=HA9u_5uHjrCZfu?nM`t0+Wu=`7Wnf1*E})jV`&NhqG`<}|
z2Kw3^vcylAYyZEOhI9Ufc_ZH|9jEA^2lHi|Aj86gfK{?~ZK;uFSfj6|mBx=#SwEZw
zVb?>xAegY;<2vZgA=9}{CsOuMIOmy3#m+2S4EU>Ex+2%kkacL+E%5h;%A1^Xiv=SI
z#*!&tP+Dru-+FuTLpPkJ@T8uP|1$X-<vIU$0*MU^tIb4sjXW?_ULbaq>b559QTFp-
zX;)76uZdIs?HQVl$aU+ua~hMJrvAvHDS2!-TX>20+aUGJkC=}WV|^TE;TpD;VWuRA
zT+@UaOv`p$<Mtx$V=0R_4maod@;0$!<Z=}hGdClMAE`uyX}&J@R%;7VJ6lrU>8ms8
zx~EYt;J%Nbk4U<onaQR$V9<#)JrNVuD&8UG{i?{pXK2)U40z(oojB0-ZP^Ji$<MRD
z>@VW66o<e1823f6!bG*xWF&oWZ;ReNAm@+4Jt>N=hApEyYx#?q)arFzw@!iKt15`a
z>CkIFU0O+_E$Sp>wo?`VA!;Pa?;{|=`c}J1+h!D8f?LWXzmSKi>X#uR?9Kj=8FI13
zBU6Eh;450UEyA%@9{w#um8MNI(yccpjZo%}(T#{8krdpSA(SudaH|j)QPx}eQHQ_y
z<EzBS8Iva)KoLqiq&zP7Yz>SFUH}?5SmUyyjIT|8XYT*5{*n0j=ieapwm=Z$-vA%7
zD_ZF)r6epPD_TaxkscJ1@af%2xv~`(T%p~}(%pPr+~Gkun>8t)p;$;9q`P6z0oiKg
z&NKptf|cyfC%c9O_v3Ocy4c6M!}QFsB~z~WprY$xXjT@lv8N`B*h+}2BnUdoZQ4;J
zi*_<rV}fw;0GOQxVDqvx8k8mO)I~wM0%mx*jJSmzcs<W5s#!)rt;kjZZq^#J>TFDV
z)NAmG%JM)Z@4|xy*6<O1Po|P;YV06hStAe+>t2EeXW$o^#5!7&cAndpfb{p>e11F=
zxrpx-72(5%9u8Ri+7iM$)8dChhrPgR2zPKE0hVUu^HM(Oh5G+BRu_(L%WpE?ZWv{e
z<Gkc^l~b%c&r}{sbS+EUMt%*)*gfOCg0_qeB12g?LM=B{?r~eE{tv2Ck6!QkN?Q3s
zxWa|>u_Pmm_J>z^t58YOgm4iXh|-irh#+dFFT_hu8>ZA%oaJUpwvVK}a0yvmtz|-$
z%Gz^>23$6^(VV_Z6;j0_HJY$sHWh4=5_+|;{)b3downyYX=HKTwhfr5Mm<F3q7M&^
z=_0f%gA@5R+IMX!!4yhF>gal#ctW+5k7}9C8?<*Bg}Nt8CNG^o#vXv&P&kI;42B>q
z4CLI=*vY#RDn5kiz7<8AKZ-V2L18tv3-M82iCiR|NG(H2nO6nzlEvp$N0TE=v@chC
z8?MEjn<&gQlov#?p>pTY&7!UwxwqvU_2fmaEr0e=*f)<G%0G-Ze8?l~%&iHZN1uV)
z`3@S%5#UyhlYuGyCPB4W6EdwP40<!~-Vdbxt_}oSp3Kzs(>US{)W}8{(!$0`(aF;W
zope`e!tf53%WV@hn%5hA5i8e;^<ATUOwB;&X~;7k9EBU_=aXrM@2KV;r`=ZjH>G&W
z%N{7lO;-sSM*GoIW033Ru(kusmscjG42sDO*f0NffqOOh8I!;U3!_Doo4~D|{T#-b
zt2kPSI4V%6<hQnMt8{&ehlb5EsQ}|M6fc|smSWP{Y8K-6nQ6Y;`>Ajralf<?#MJgX
zo$=I6Cl2U^Xp$*RkET#)vj8Kc$#Ck6;su@t%`T(<3)-wsgkgG;8#*YQIMGsc@j&!_
zOijk5!%4)Iuzp8dT#AG?4j^Z^^LbHtdnIPMRa;fjRu<0Y<XM8$;#H#ZN6F_T>_lEr
zvqU~Hi7__mU`Im6=(eEESC9f;Q`=44&CUM!KT_k^r2E+G%3@t8d>CD+TJ<1)tgIsW
z&Z%$(sK6DHBQFO+L5kSF@*$C8y77Wv#ooARIWNjPzp7Y->TcHFHBaSTXPuPEhe1D5
z>L}AsC?!pkrl7?^iJ&>>20wjuo%rpQ*NF$vCHis|mP2`U9jHKQTu@DV(jMh{x<Md?
z-7V8ylSrmqURd*eF+F`@xX3044makZ9k8f5d|skm&Aiw-gq5;UZJI+1%fqI}1>IuN
zBo`yGURpphil_?q;+j}T&`Z(B)qTlw<w_HFgA&#Q<P$08TDiC>qmvPov-c2{?d;;v
z^yQk6ZtP()9j=rIr^l$HGGe2Gk_=_&pMzY7<A|HK#2iQ7j?~dbPcqI8{W;g3TH``6
z_hNjn21O&(5@or~*sg)l9a?;0gg*UF90K5AFrokMFqFdd%R~76CTw>oYc+YZ0>VxB
zn;LKzKJ#jk=geh(d?;RCK0J*5aY(7oK@Q>+O|mv$>miF2REL&WrZY8sm@pRC@Q#Yo
ze81;T%b$m=jYD7;nRKvaPFj19P(3U2yPBQrBsFE&i0D#7Qfe}eZa?(EN`MOYFgdZN
z?A?Qp$nSbr5wQ1Mg7;U7I*)U*y}Np}{+p%gO#BbPQE!4;wWo9(sX5<`wL$_8`_k!-
z&RNiI$3I&}PIuE0plLO%<0CP`v^Kpd&QqRP6;~|=chsQuEtqK6+c%Gn+zNy8g$3I<
z3aYA5AvMGR1#D$3XY?cJB9N=u7G(}~HpSt9hgHvCRmb2=#~$Q?4^%0JbKLBBz~dO?
z@%rMS!yC~$+kG`bsP%V+jVs=jdo{3Z)o=9(mJisx(4#pds8Q%AH#5+WBMayN;jK->
zp}gxDui`^PwVkL|<G5sydJQyW9nD2dWm>2Yoa<7pN4Qry%*RowVW#GFjKXFN&3_+6
z{LN*~aGqNHM+rFC>!vOrO_$Eu<td;WCjAZYC?VM|Me(jhM+;!&7*|2%ZC9g~Y+Z_z
z86-{N^kK=k9nt9`9`sa>DGa<TG#0t*OOs5)iP;YwV$Rs%k=36vT^*3xsroP2>;635
zVJiunBQAr}Ih>lV8kfGF9{1vOhKW8)lB5f8Ky&1kLtr<d+E7yN&7W-<U|yv___781
z)M_N!aL~5eh_STtjm*-j-x0TJMoP6}LIAu_6(R~G&YjJ}YEud%n?5*jL^WdTtt{GO
zyvpkYH4^tFQ!Rk>k^{y-nL_e3nX>R-WV%4NS`DBPF(dhViApWbl;<j~dampA0Ut|-
zZP?Gt=z;gU$<X10)db@@KRW+E8cRo;*90pa?X=%zlDm2q_$&@=y$F!Lm8F}y+P8y@
z(Wfq?5kq^X$cKsC<JSseS{VBx!U&ZaCIw0?4-yc8^p)@<OLC2DMA&}-ac;__Aa#0-
z0*c|-Ss;xu_`s8#u2t-pEMc{=$IN~OPX8zG@(e03p70uO(e+L-IJ#$!Ch}Xk6O&GI
zsf2EkA)F+U4V}-ha%m!o%`4D(jUU(6Xcp@CMj_f37+gzNhbL*tqII3p&4{eddND46
zW^X{B=~{<z4IrB!i4s4f`E9Jtbg_%=y9m2!{jUgfj<jQ<4KNqVe7~aC?7h>g&el&P
z%+imi#bsg@1=9eIlg37|nfle0j_?Mpklu=d;n17?=zH(M2HIsGLp5yUu&tuOuuNNC
zt!A>MB<_y?rC&5bxAV_X?WR);sMA1_D)lcM%$Z&KHQY$yYVpDBrGq;so(FYH0gjl4
zu)Ncx9-phAJEyT1a;_?t2aDncHh&&JWW-YiLjhW=TYuYjrjeL>P+2XT;9jUR5H;Fn
zFvyw)3DDPg8lkY+k}hoHE3nxTsR77qWHh4|$X>Vohg@9auO^{*P3V=V)DHv8%kSn^
zA-S7%RH_{29n*!=o%lB6R0iN}c}NsxN{E@2BFQzC+pnU5;<g!toI*d~96I}pgODZb
zf|Bf|Fj1&%CLrV7a(7d_CnHTKYNUA7q(W=K0#jt^M3xfckOhDE7Y*>Shd=K^$FSp*
zY5?ibkb2GV`x|$}A=U({B_aL6G&9c6I-O-bx^MQonmY0Uw0A>!gAD-vfXO${A2?h#
zTaXp*ZkZg{`85DR;S5e_b=L{BW(2Rdx?wdi_y1@CcbZaA`r-=27&qO}M}Vn7{>4&v
zOB3uI2DbmBCm;O`O9l&0@TS%v&TLT}7RAC0MqlZL-DO)gmE=YUQ7Iq=wI&?L4mF!a
zU{MNN%N|k-pc_xM35&R!@n{iSL`&$0B{6Wp8Fmg!T;&dtt4fMmq_uv`Ewa>%%XdL;
zuZKQKp>4C3p|{e`&$7SL5o*Zsk`yYI3y2-<QhWwvfJ*B)2+qg65PZ|FE&s!fQas?^
zQ?g5J!5cc0<JL^U9sh1=mSigWx7Qell?b@mRYIvn6FG2)h)ALT?J)(%Rala8nE3D-
z6_iN!J?C%SmTcaMfE9=5f!StQR;n!)L=&Q{m0=%*<4P*Tb2Ml@mP%yQW7n=Bn6uq!
zAt>H^R}WR=v`%KzA4K;`bz!>LY`Lzq{$B4e<j9>|e+KwP`fd&53EJE0D|OzU(fe<U
z-8{Oae7_R+@O}aXu&d=~JSfQRXBSCd7duITp*lm$RGcAWJ%C9AIdp=nWJt%@MO@D2
z8gnpK-6Qqn-Mu1kHcv9Kf${0>CX>1t1{a4z8Cdrc*MTUBo7a^<7^h8a2oF%crvUU*
z=ofMio8Et798|t{7~TuOW<06KAda&lM~}xd2-<({Y?O(6O-bea$F1XQBD`m1RFpG`
zcq9Dmy6z3WzR)2E^d*^h?8Xa)-=<!vnnz6+?h6Yj9!&@Lv}<RFy|c5CdJ_`~$$Tp;
zA`}_2b27_%Np*6ky(G7P`a?e24wK>Dv==;yYnBi-;++et-O&UP^l{PXa`OZ;L$|)~
z(ta{lSgS4Ir*ePg*q%pmL;oCRjnsUBEzZ){>F?2!R&v-?cC+>fmYEAib~74E<zVpE
z=}9SXQ^-Fw8@cDu^{tu@8MrRE>+C>s|LQ!DCA3eMiJ0jcC%T5)bFNO|cT!#Luza#J
z5Q2UNh=bp`rpk6*JOi{dnzhT^{CNMv<Z>+Fsofo#iOmcQquV|$bk1pI1HYD_(e)<G
zYz#;u+;;Of*II6{x6ObLopWaH^R_F(TUI?R)iRWsFP85e_6HqKpy;k@5s0M*A%`Wm
z_e~tvn=b9{7h2zaxzrQ)CgXg~dzxn)zsIqNcNFF6?GS3R@X}*a#n?=2RBnX!2L%kb
za|O|a2V0$Iw?}P$tj;G&dwv5;o2~Pk`>w1*GJOBZcJguCjHfuhz!eH{3hecPG{f*&
zDeHS*rmM?92h8uzMNqo~VYSeU)}Pu^Y-cS_b5`H44@iJB1-O^BbP*H#8<p<!4kioO
z&n_w%Lewd<0`)NC<}UP~U2o4x1S?gZqwU#~?da>GCZHVGnd8%M*5(u@o<X&;71>YV
zUJ33yecyoZ&y0K7c#PX7@TIY%!_!x?%g+wG{tbsIn2W*trg<x+q(7Lkgfh?I3;<Ru
zJRyp)A6~1xZP@%^4J9YJvzg%1@ZSytq{}r3>vTpLGt=6u->&g8REmnJ8uz`^q*wFi
zhnI6_a>I4Bj%vA9`Q^O-{+4TZM+c8dwEC^E=2m9|$+nN5Vige_p*g(Va3@UKT4F!-
zzyVA@M!;&6Baod>ByV<V!FfMv_851yf;aA0_0gmx4_-w<yFsglf`6%6Bta`^{b;ak
zEFEvH>=0f?^X)xHZO`hV+%sSsZutp*-ks=*Uwhyi9dtAf{p+E)UU1I6L=;+XX!oGE
z8IxU7l~Lj5tfvs{J7ccaotDC40End8ea_VMum%;OtX0-JwXr^IwA{>M7>&MOZKdkn
z6|Dvd)nj=TY7PDKc?B2)r(7wUM#Ug+|8qlT2*K<9wId%Fv`A*I5W6Rzu6Fe@ZR59h
z0Mo~2RV+u5zlC*V_umGAH-Pk7wyv4B6_rAuqnBiJNX~Cp?*&>G^Q&3}1sU1V>){H1
zu{U?y*Iff_^`qkz_H>kW!|mmi`ny2nqr(SU+&Z|}V8@k8WODAAmAG1}J(r+B;c67)
zX18fGlPCAr8s8Xc{1cjwQEmA-LmTwNV?^~{+Av#|z|-6N;1H8?**JHFEHRseYT~RX
zfeI`?Mw_j5R9A4WBMlhyJQ^Kvn}K?04Ks_i9KUiufpJZQP5u(?xleKvNrQG+4t+5Y
zVmh$6Kv*Nk`k<aqE(T(6N~n|^KF}4C8nGU--6X?-i&Pm1)IWqpVHy(O{W#cu>wX)u
zt?B;FD{C!(`0b3JDZ72mLDr>v{&%DC1wRdyah<4wg~W8AKPnrkMb|62Gve!EUgB1v
zCpV(K(pZk9D6b;IX-={T^!>jlP$*8BvfNW9Gkmv@qeoJ9ZJnBJwmMtNg-=&Tl2Cif
z>B_^-xUwrpaD4fsdR!pEm%|3&bpT{h@+?uSb+Fwsg?+$?U{pFfl2WRlmMOO?|8ExH
z_fiIK2E}wyw(fuEH-ExYNOu@yzA-rJRY#NFa1X*rl+zn1rowGi11dNHpE@=9+fcLF
zKQzZb6&rJ4VI-yOdjcieqlQ>qNsn8AAc6F4&IzP9cw%Wid$e0s3h~mX<;I7wD6Sq}
z0~+ch)>tTDo|OJyKO`)K@^pR}>Rg)VRo0}%=&RaXr~7f!;`ei6=slX`qAMq_-k9(_
zR9@*w`IV*m42bPHsx->ry6q5*ooxSU9*GN?raLiGIEY69$&N~ra_$AieB|HEVos8T
zyvAPJx1;;MU=Tn{0%p>r;~$5TK;fTyW=zb@6%RC?KW)!T+~7UE&Pt}Y^b7GiT*9D%
zLHD$CLk#pRcVZ7Tc=K<ODKs<+3)!UzWh!u(pR11b#+xW|HMctc)2>v=t=sV@%xz)j
zCo4CsS54WNgu=^NRu4&?8Ba^Q{XCAcyTIGq!4QubtC8){c*e|*Xb7o5ha7x^wb<@{
z0K}TzBo}dmb_SLA#qhsFyX~uOKiGei_G=x^G)=Jk09rwNhM}E-dk&84<JyqJlpFw|
zs_zz#y<OBl-weIFtYGTPN%@q+J|{^I9OATq@?!-)5@t~e1W0f;+x>2iXqPo53#cr~
zJp~z%4w5il{R3P|wXf2nLx&D>c|7c)y%A$H#9Vxv=C&%ib+>BuZ<BkG*G<-fVu1oc
z2cFS77?YXi1c3zcqr`NokVKw_UpoK+7qXcc9}z)5?Tn(z*xDRR<OLk*E|vJ;Xu2QZ
z8VL#cLNATO#fLjweJ6&j%LZ$fgvRE+okW8D!fk@R!fl-O>?>upaSUvKSyMd)@a=a(
z$^IO6=_pU5<}E<D)fJ(T&O*~(%5U*=*qbAcV^<iq?lb`i9c{LBYh~MP$L+N5_dNB2
z89crywkGl{R|R<>AcMw2^?&QKE$5LH>~!E4v0pTz{bA`b!=8UuuY=Uo(H_j3a(#JC
zV+Nc(x40U<XFAju_~7=ovd1sVD0V$<Ap*|Dej`Q2lJ@xE93fjQSOl6OpAj(>b;*wZ
zolp06)fF4s-~WXifID7Zm!+Aa@54pTD9|QvNkumvjf2=MYjI*;OVqpF)l9^SYg)ML
ze8&Bgj4J{Xb}y{&C#dFmkDMdsdv+1ZzP+t1u~rQ7nf`r~*xbe4eaL9gZ3j1hR;?^Y
zOGqJY7U%K+Uhw4G?`MEuXi31^&>k97g3GfhDA|@*7ju`7q2lK{G;J7vRwAkLK3c57
zha84tlUu|7$*e6ZswWb{I^e@?A~rxBQOVQcgI;rOVr*hAFBAJ=tT}6q5qcOe7y^+i
z?rJ%4()pWaZIZ_7Y)_YQy`royzbm%iNDN`5rhJnBRgcumT9DhI-^D=FgH6Fc5mA;N
zu{c+kZh?5pbG*{VVEmZsB${;u7i)s*eexa+;EsT0?0&fr;@<g_34iJvK;<p?>>#9<
zJy{0n5NZIoTXsDBYbjrGrBYY%8H;kj7OvK$@~|W06UTO0cFVJ8t`=a7DBYahTnj)B
z?C2h3r^8-1!J*)UE~Zrw?s|K41-N$+7bDAzJFp<}IXj?+4T$f~8KeiC^)(jV{rGe3
z$TUe}C(PNxF%8Wuj*Pz6RXxEdo!i3jbx;bM>Rhx~-+Q#VS<ByU`(Kl&l0}gl>KB`P
zhnt<==Ut~NHy?MfLb}LQPb9Gw2It8}QKcLQ(Iv<>q8;a4`<<eq<yMKap`B(~A^VH@
zw2UMU={;j$g`c;h2%Lt18Q0!0NItZ{vTMbx#5G1m;7WZQgDmlq-DWF#JHVdzZpnAc
z6H(gs{;~fkx|#X=6@v+08{gdfA~C~d3G$aZJQM2ujW465M!w7*07Lb)=+lT8v4Pn8
zYiDBjfZ~$y=+;63aCSS!SpxrXcr1F4MJ7Mc*5{)V(g_4yT{WBw(V0uOPwR5x=|G10
zc|5jtxCl@p6Y~85O~c|70kI*9?3u?2l5FM}aBIPqcq)3W_&h(Mm$N*wlpX%}+j(ei
zt!RRNTC!X(S^AtkNan$KtQEOBU6va}HdA@l5>Ao9JJnO}a;;*?2pYRF^J#8-J-#{S
zxbmZ;y7!1bmYuHth64ZrzKJIiUPN)QvH)T8U5oS}?3J{}#8fh!9NFFLVCg6)A9e6f
z(;IVEZBD~G$}Z2bbQEuOvd}W(A&m)o9EIU{)ec-H?=1O9uW6g+Ia$0uZ}AdczykpP
zZiHH{gKxA#Q&FG_ZCmW-LF!~R18VAB@wrwn#qa~J)x{QqGNWzu1X`SA3$)^fDc`Xw
zFe(VZ1vMeuA_lQ3gY<~k84K21k=mPok~#2ZG)LI>d2BhXwrB00-OjYZt8zOVWaFh~
z{fHSrDY0|fRAUID&XLsFCYUeVbyIGmalB;9%TU7Mq|E7bwp7a!JW1L1yn^A&1S|8o
ze{aC8<&^^Sr46k_%UQa;cXqy;E9M431mXAM1ZF~2HJo!~qg_Gd^wriMn{b=5)vROw
zasRL=k;1<y`>|0d)86K)nm!F@q`W{5Y5R3+EPgmQfteQe!;}tG+ZCfci?Ut!StiO_
zcl~p-9F2(Lg}I2)s+ujBxknwA;co+A-Uba8vru(%><tTskI(Iw7?2skKy8o^hKH>T
zHOx}LHj$+`TIh-@gwoJ`M#`Yc15vDJ!%>d+I${bt+PBcQeM|v0@9$fwG4!E%ia8lt
zYEt*t1uA>a)?&Bic9D_fIwTnDnh!x>jGv>MECEjrY(|d~ZqHc&Z5@yJW#?l|`R-#?
z`KRqztyDKjM>1Cc*JXwPRkucJe7=UNyOB4<mAB$~-*WQ3!4=k?nbim{!kwAKX6qq4
z;BYPzVuzR|T}}$01C?+@&GL+Y&ndSdu-Dgs?O|hjkbW%9Z8LM4!a}+jcsmdeem6IW
zjV((zqE5J8ObDWrzuERprL4z?QrN^7K4iYHW;ov{|BZtHkxwZ>vWbe=DS*I0U4gH#
z{Ubf&)*VupV~nnDd$K=8-&bo@?hHAxLvxTnQ^9$+fA=aQ7lV(~%ZC=wRHz<zy3p+P
zJ;=ogfL4(JtM+zqmW$Z6<PH`RM|RkI2sIdos><QFex}K>bo8OnX+LYs#`r$~i9mM0
zoyWi0POkQF<fMwVoo7hZ!5jq;H)jt&ynjmm=7XCuIUJD_`-jz!if&^N?_~e)Y)RXZ
z3n4^**YCY|Q!0Y#<U=WC65(kLLF_1;@u;1HUDv)UjN@JsXTGzw;P<LG)?<VEsp-6O
z_Oz!8yYig=S}@@pnHZH1XNvOnW%zPG3AYiuSqZo#pv)%l(zuE+3qPO30OZl5YF+^c
z9{B@LoDx|Ydv1)e5!bOg#PN2xZa)J(b=dxvbEb?dRl6-Ly;jGBo~T4)Bl6POc}!Zv
zWH7|#VH4YR%}X1!ZEHxbL6ZQ!uL2gFP0wRm`r9`vn1MKk*GJ53<T-qpst?f9-p3gd
zFwc`f*@pT!Ky4qhjPq%B)n}Vdd#*CNtkV|DyFTsySPykPcp!PLKe@0eH!=N~z*gS{
z*JQWBmH=@{JZ$7j@?A`vIXFJ47PUaU1@S?n1#2r?G~fQ(I7A&D>l~zaifh#CJQtmP
zgL{>_+j3!=_}2aLeznwdcVKKt&aVjuCl{4h3-j&Pk-)%{wuVCsaS|%>^2f_EjA`i{
zz2;yf7*LZS(%yaINM{pt+}CBhfUfdPIaR20;Iye5>CJZ9>MFxLJP=NsOljXvBQ8Wy
zqVoDDi|S3Gb8GG1KuZAlAco(*v@FZzfQ%_Sw&VT87d&n(gOA3bPP-0Ok<X9oZQJTP
zp>eIBAK15X&3r>RG(IXnIKL@tn+2<ksGHUKGw|k-7Ty)%vML{4TSd%bO#j{=SMh?G
zugxJHVQ~++YBQ;GsEV3>lbSN-88P`L<$0bnsmZ@(iVDO$D-!6mxE~lv%j?(Y<x3~B
zh!QxW@~s{4mQvi)Clx+`s&&NscpZVm#)dGN23rGhRH=O{wOHloKL)2fa__TfzwLH-
zy<HpI)^|FrVjL;O!PB*%yoV4C-%Li}O)~IQ)xH%2EeQ>tmRf@A?6nPeWhCK#<Wtkr
zH7i0+1d<ztZPB@QP)0u}t~}T7t*V=IChgx}`z$(gknLn~p@j&htBWrpAIxsZ^k@=Z
zBsz+k>k{nl07-y9=3X%K`&U+FtrnD%@HVPpQVlnS(>uX5%if}#3z4eb?f$gO^|S^3
z8dXdtQ*2IQCSLp*Pp9Oy%PaEq@sbRsFlK`bQa?JX@ZkO#X!8iQX@vNYh1INlyw-w8
zMqJynf$WaC!?h1owe#I&05FrU%@_U4-RhjF-#=yh#I)n0)z!Ct#T`o}<gM!k$stw=
zfz5X8HkcCN@L~?;zE9_J5`!Yb7&cwl>#;BQ#~d+yXSm+Je*fn{mp5(q$22FmB{3+O
zts!>!+@`Xx^9isUCfN<L5J+zH7`d{Lg{B%-u@5*qiyPp!RWyCFbm8t3-ACQc-0GZe
ztGj&H(KbX}hYMg7i}5b4dX%R?8WV1O_I0vLbc1q0a`s|SeP$^umoqIy_X|T2amcev
z2)9KdS@pBl=qlfJ(A|{lRR0sq<)j;5C@$x*rs)?Ehua@O1Wc=H4=!mFkJLyq7+pWN
zSd!uRkkUp7`a9W3>aKZUTi*0k8)!<Czw`QsOsxg$RQ)a}t+>0#c4@QYT$1WjHNb}S
zGo=pkJHz!RgW;H*yP22Aj?|Qy$G%H;%XJWrsKwH=XbJJv^UV-q&p75jV(B)}=4k`D
zwyaD&SIR!zCEIn(P8+Z7R@9E-TT``NhR+e3GnHMx73hcB_FN_-%UC*Z8u8`XwX0}%
z2Lp06z?wF-kEU8(<2p2w>G2>2Ahqk>E$@8?Tc}S2p)>*LfUupq8u7SdSE5U0D`cuR
zQ_r-6R6P?sY0l}Ay0|&%oa3Q-P*IPeSQj>PQbG`(09L4>?TgLYZEz&Od!8v&<l1Uc
z(h-DO1p*o^3|E`6kba_YfkeTIf0)NqWppYL${K>s36wLCWGNTabycSw5-lCF)Yj9c
zI&?SU6yi&781d>C>OQ%#nwRO3B>J-2_5hPMr_UmI4i+nI00_Z=<K_pz^k7N@4SyB>
zdQak5y|QfqovFa(m-K)=$(6B;>8;{mS*27Rx=Fm#3Cp!NBEL^REX`H2qll4`%`?z^
zNs@?BBKTedua>lhxA%9n2HcX(Tv28+2zL+(sxZO|GGNmVbPW0&nRMXR5t4&zwn^BL
zjOkFtg?x!${y1P){b6g|NXjh3-v^#&Btd$rm~zgZDr@SfgFb&)$AgE0Z4{aTSp}v!
z6PU9(_0!X*(tu<QBx!39VF6w&lsbpiUg(!iWD#(;+O|8bAC|2(NyIgPp1@0B1sMe6
z!=k5HogK)hIfKAP5%k?@nR{+Pcg}Q|V>S222@;GYQSk&6X&;-0zbl5|tqssErM<mR
zth7LEMJyP-R`y`IIluZbC%jw`W2rk5gduF=xI%Y9U^X7`NDU7Pol%HW(-PeY1uL=-
zMZ7}ar95z+N1*`fm~z|VdYh|Z+kAFH{vcLpDj=jp9g9>W0wD6;ZEaJ1&t?xKY4e7Y
z<Z1xHN*>Ys;4Vi^RgbU(5ZfSPEAaalGzxJO11VoV8JA}dgaI~m3bd6gb$RbXPJS|1
zlORB@+q^Xl`(01(wUC^7HI<f6HW7N0T8X!1UH|s%liTNukz_fchB2zk4XhG_8M9o(
zgB$UpaEbk1)b?V@lwf&QuYr)qhl29WhvQg53De?dvhtk^Rfz(>3Ui33_VB@&eB(q!
zhJqT?H7u8R7C3+TW=%XOrxX;z+}ZkJnx}fNg`O`F*yY!-h(oSel`!2~&6hEa4Olvm
zq)l+s-H*#2Z5Bapc;!-ncM#JJoLeEng+g~RWLK~r-q`+_{K_%>Ab_Y>uwr`%E6fbX
z0`iqpalFEA$QxM<w1CW=$I9J8*Z!Sc53gTEZS(k`<<z9frO*P~Twhn~_F&IQ02rY6
zQ>KW4XyAa0MmM-<hr`kaN4H0XE<p{u0e1buNvte$5-~xXcH($tq(=%53)Pk!nvTk^
zKN^#yrzvY2RjDCJ)no!Ve>5TMg-v;L9o|jw{NO;k+03<=<9;d2P?_Q?H@T`uxTu5D
zeEJn0puB-3ZQfs!906UyE1c3OaI8H?2*nP#9Gp6k=sxFUZb?|1gO8OwSLJBR#p^|R
zW2GUJqha|M&kxHKULn(Qm@+n??~}ASX~5NIr}yrryRXH4j<vPDoKI*KOOWxq`2qNr
zHIcXlwdePF-;2<4X;vVf+ul$#G`mI#x5tte5ub@F6pwf!h{b`U;>}j%6RiCH&?v`#
zH2tcDe?i74K-x)^zjP%le{dEH4kMoT?>&>2Cnf^&7#8aIV52TosO-+mrhdF!7vS3M
zx<7mlc>R2fq<MyK#!BHr{&sb`8rY);14-Iit8OY{tI`&SS2~7=Vty~8x(U>M<lf(k
z4r;x544(Xl#TEuRJrWDTG*WIzokdX<@#ob}3lEbC1jU^0%|KK4wSAAyd0apBAI2wc
zz&xTKt?m}>(H@on?tcTCb{S;L@T?>}g#iT*{2_5W+wHK#Vw`wZ!CT@hXE$VhsU*dz
zlpG(!TBB%{i~mA5z+k6G4vv6EYE}7oz9LnaGGZ7jI=@trGa&6@yh^eiYRois=w}Sq
zf%<0a?3tWSYJPO8sLxnCd{$Il{;CY<Hjt#P?lq7?`yX#T@xu>r;cRBdq$Z!K28*ia
z&UW?<l=!eT0jxu5zf8n1ID;VXj~$Q80g(6FVnr^k)+OqLJC>uh^zR9|JsoKx?#Xoe
z)(<JZ3yxLnlzxr&xn`TS`z2sBP(_L$HmwXenkqn~p+G}iKkOLPy3RV-sUr@^YgdbE
z;PL4rok2zRLwh%$8#paVCEI|_8E<#^vGC*VZWRhj0i>RQNic*m1(fwe)8{j$TwtB{
zDS5r?%5dKfJ|E}=j($j?TH%=X@j>1Omb5kb(TfAFe|V)-1Ca_*fWtQUVYY$)7SNby
z!NEU)g)vTf_((#2=aERKIFP=&T7vH>TEqJy75%R6I?qqfiB1#SouF>bi4{hp(cjTs
z&+hMK2`It_2B7S!IS0fv-Axr{4L-ZkrjEA7G=+tFNq9b$D-E>iNDqKz+clhvgQTI8
zsEvvOZQTKUXwKkIgbyR|5%fZw^I8<vdE!nt`~cKZIRwIoqOJ)1POI+Kasx}+8a<dr
z=mVf?`~}xqi9(wD)vFD54S_C#bx^_Ld}~u1RS$>SVHJ@@OmcYh3eb-HSUf1FCPQ-S
z%#i%O@|yh3RgA!g@v`Y|l>6@E?gQP2>cRD>(N@V<Upy>y`Qi_e+Pd0t@@%rFB|t2O
z@dn3<VtkV%kt(Z56DRPWo5HIL8?Iel!1-%%T?atvL1M}=MYC!nq1Lb;0{+!oBgzub
z)Jd2&VbZAJ9Dh)#{hN9{Aa{D?CAx6U9#N-(hb!RK%1FE50PhSgX#>EV=z?(;X+ets
zJQT<j7Kk>z<6z4{yOZ0SXbs0*Mgts6-OJ2!Q9fNPijSZT2jm|=H6p)qFet|-!ZJBq
zk!44VAfUHyPCL%i#uA+?<FABM2bp~3<OAWs?6(MP^a}ob>g+a95+J4{jM0Ihy|iz0
z({Khj9Pn(#Ykv{7%K=9C9WZD^N>3$DpwZqc@Wzu-U@i<TrBNYyHzf`?zaZG9vQd*w
zYD6S#{($g$@J}0Bw)U&_^A2vgSB6qG9c-a}_Sm_Ot+fXuXK+ay_m_UGBT=u^*5M)t
zWSc>c&aHP)uAstPKn*D3L(rSHp9rTiYX$(^DY!?i7CE7Y6Km>nGs~e!{8Dgp`eb|1
ziF95+Sb~swmH=ki&Sr>PKLot~P^%`%Fm5X^kQMAU5E4+6sBq8uF9>oA`x<JwJTCC7
z$=59gg2)Xd4HWeke-y@efFeX5C(5jsnzD~GYOv8mWfr!-Nnkr2Zc45UsKLc=a>y?$
zi)BF1CoiM}l0@10Odab#q7}UTQK>M!w$$69hAG?J4%g)SBD_XY3GJ_KK|P>R{xrZb
zIEc6gV=*6QTGe2SBOqO<B9hu0p+*#=OdEAPsS&Oylc$}HyM<~~zV?N2`LzkJynit(
z*K$pmM?&(#iKr^ImaEDl%J?w)PCH;{V{P{_4_(K-zZU8e^xzEL7Xz)jjKm_!d%$%`
zo#yS{o|S+h?huUH!-2Y#8gTss#yQU6COe`@8zBtVT=-JE3RFNLCdELdesn)pbjQ(H
z3Z5XS8-<zgH;;k5OEr0KvnH39%5o+VmZy$kv1w@9wOCl5IYyi}<lI6<a=>LI2%m9R
zH|<{rgKY&?^~b@xE?mQN*=$rL4l^SCwds4Vz9(8A)NNojZQgi40G*EdCE}~X1+S{(
zkF<@`y^sKi98B>HcMaZ1vh97G;5j}No6xF*0P>4Zj>(J2Guy&kMt*`3`7(^paS*nf
zvuWn&){HuxD!w*_&4Y-P@aFd^;X8~6nlcpg!_A7WRu<q!=7W$bq=3|t(SYoaw&cBB
z4P+TqZ;-@e7iTJgI5{1N!MvtRa?q~|vqUlyl7H~rm`u3Jj8CQI+f!J7@@7V^zq&5J
zxVR|~W3AGY!%_LI=e1J8XX4_;4f)wJW<-MciD~^NtJ~M+5!V%|UH;*RogoFLn=tXj
zJQZL%;9%NyA?iB}-k*UaZ4#W9zt|wQNH{3_V|lp=Z99OVQEl?=hXn;JeM0ZLGMw_P
zPjU?asGnZhls_$$R1653O1vQ40t|p3&6ngFUMW+MzGHT5_vY^3^kHD?KIgs)?vu-#
z^|DN*5&R0VRA~A!_1cZwojol9;+mRhG!&5WxKGOK72pfL8^DIf(l%e;b<$8f9Yye)
zkGTak`Tkq0GQ#jYEJsiwrH9fw)ao*Dy`Cw{pS-#xPwfv&0>`v`WOEgHW3D3b1cYlV
zZQuI2U}fE%{@eeG^f~@;lwcZ3d+Rch!~`F>&C+H+=-WV&Hg7sX$LZ?{XeCEeBA?tS
zOAHGM7)7=pFo>6}#M#DiyGpwZJUQODR*(`fh_^!pX3YAPG!F2lseE4z1h<1Q&-3Nh
zY&>RJb1kO6nov`%$gvS0-WV_ef||AkxDnexq`cq!vG!xN^|4eyMtx<FUIPPy{p{LW
zBnCfQ@P`bZtD*i+E@TD6G7597#e6;|9PmtG@DXvTWFuRZzx<%0a87{I6q1HXBaFh1
zDZKscsQPTEXJbAa=kue=pwDupj2|E<ICxIEum|5B2Ynk@(k7n~1Yx{BP5|J^xw5it
za{*Dl#wh?fAZnux$H0?1r_<h7J$-CI#aF--2Wwal73d&B$gzFSChKjDIh~Gqn!R9a
zGc+177XUyTorMo;xl)mlP+i87F{No+($=CIw7))Tqaf|cbV#NnMfs!*TwvUW?s!`<
z%^U|~uDy=wLZ2T3`40CHB;m<+Ik}fyIst}OIOj2{(u)M)*mO<R6e<`joA!9jt#cU)
z*SrS0`uXZ5%);~o(;@Y|QqvxEWn_R!8%r5MEAa(FAnlMGjhEyj1dksEz-fPLW2n93
z;H`}>mf=Yfwb6z3F)_%E`AtMy<K{q9Ph&S3s%<_@J^h)&swVyz@>YYTJT@nE%HsKQ
zNuHf*;>{t9WtoENyA3+HyQQ@Ek9fa1eccZ;Uo0GwBf~z#y(vIJ;DQ(o)!=LjPehFa
zB(tk<XRyd~{AjzfQ&T6Zyeizzre>}55M<LlLLVtr%=Dp~QdrjcPF2P7Jc-S9LMbBE
zvWy0*vOgV{U?`-<pe&{b)O$oDgxY}yIEn7~s9!GR@&Gsp5BY6?o5IADgDsP#acHR9
zK)h2(?`aLEldEfU(gOj=+8xctY1tHZQnw4Y!8KEE)I7?t#}D~Ras-CQ7)cwi!~AY`
z8$1aRQvuxnU??I-5!`8Fp)5-X)fxxsamd=>#}Kx{Q7_(H<%~jM>Zugvncr{g;97HV
zR~dt6q;5>JjQcvcPmh;!xhRhvz^qGnqi9Xrn*1oMfz`D6<w<N@u_hRf%At{<99k;K
z#c~<;v#8Rx+rR3Lrt5~O+21Z@`(`s`c#LPtVRvXSXqSEHQFT+gPwHyG?3$E~<%&gl
zVXPtJ=>(P;)1=+L_CC$oti3A%-go|JQ!`D)qjF}fEH`f!q>jO9gEfr}jUWfwZGjkE
z-D%2-if~N}4xUY4CVNY2I&e<752=WhVD6g=mGNALBpQhT*Bqy@iU`Fu(4=hu9u9}G
zJXaK9B#Sb8720+^2%k{+w;FSV3vmRO;$5XGxS-}Bms+zc*Qu#<ScG9%6>FP9?We|M
zI91w-*2C4I?ijmT|51?y%T<{U6y)SMwd|N$Cz21XelXjO*qs590Pnj}MqmSuK>0W}
znv<hzWtl0J5Rs3bBzU)LW3D5VHu?-cdCI}G+C{sp=Aai@?HWAY*-Uo351rAe$D*Bg
zOEl{=Wh!c0c%__^Cl9t{G!;c0`lxz)u$b0j9(d9wz(deVBGI@U9L7rK8%22?D_N&v
z2_>O6_O!fQe>))41)Wp0q4b<Gl?c$z1JfzQJz}@trp+hjj48<&;E0>eKv&hgJdUNs
zCWays25HmX&w|^?YcNwy+5w4x?1ob@d1A66H?Bb$sRfkV-1eBJygIma?<(7%bIPEw
zzjQnG-Q_g)O^r?&lcW2E_Y0KiY^jLJI%Sx5!s@vU<N4$OtHrgJ)<BasML>YlKRXJo
zB#}tUqX77PJ});)e&qt#A=wVRdiUDO0!|ohq_+%@w|iLnL0FaV*NF2Zk<5#wf_x!?
z(e-h>LPitnHPUL?eT6nqnIt!o9N!?LP(BU}7vzhX59>T+001BWNkl<Zg1okt$J-cI
zH1B56JCaQ=uD8RiyD@heH};v|Pf6ir<?-e?>?z=f#w$ZfU|K06)->Xl>%fz?8{n}-
zLdG!o@ukU4$=t|dfX@r}DMplX!_O_ge*4;V(eI4TGZf#Qnjs=y4++`fW>uxPcQyD}
zDJiqa6PTHn2Do|cLC5ZAHInV6KPYF+8)PhoWx$dtd1SIGtN4-s7|KXOnMppYByNXm
zwr8lggIMzep>VC3A7zksO6cq0`5Fe){k4odGYym9ND|ZKlXzPQTP?fiRt-F9E2sf5
z)V5>Lw#$jM9LC_yGXVI@%URf<6L9FqbTETQmjK<gs|y$?>eL*y%c&ic>rVMVIQ}X<
zKM?J@=$AEU4XoE-pKN61%hNRsKBgp&hmwOeR?BwXoB`h@2~yi8>BaE|IgCjvPw(51
z{PnENmPBIkE>QsxG^o0y<;I*F*V<IqP2Mcq*$k#l4$7)<3ph5oM(VC(Fx{%xq*}?z
z^LX}7;LS0f0IuUS_gO95NYkX2v>^!sT-gC(J4+|yQYa=RTSqLCCf2sAWTg>^!xrd7
z<};Gpk~)A@i0=ijE{ty4*zK-P!q!k$)w@r&kBECu15aEXp<aEc<A;X;NgLXf0XM&k
z-K+#C0b(HlpM8>Ft(KNaXtK}MvQoR56U-&Uba%J`5~}^->Il&}seq{qD;(Yt%v`ue
zdBfXI!|kNesEM~)kRT#d7VB_V4aFs$N=OLi9c#;Oi>bY1N!t+x0UiqYWxei^S1y<3
zjU`M6$F#1vuY#$-8&Ybf;T{;$_}&hEXse$M+~Awl2z!P9uGEy^dFLTvTljF}>@s?t
zG;2kPHM59ijO)ap(ks_Rrl-6zHHFC&bceEptp#TPDhUwN#<rbICb4#CUH0Si)n-9n
zUx3D4i6fv?7-gvu8?<!`uZ`E<^EhG7v4*>L8_mR{s;ApG<xR?R6<klGz9|WWlFecg
z&^s$wyVVc7_Gn8+Fz=vSFYms#K|S*QD{O=M<@vqa00M&MR`c@bug%KOX7Un21ik~&
zsyva($f&<8n+Q3XYnn+b`W2CN`Qhf?*R-tj^*K$&x~#6N9u!lA*lz#pZi^3|nhp$;
z$fRdep2qczAcpZ;J%kv?Et%geV`0@OyhmcHHI}!Vm4J}|@xUNb{82YQ>;b9Cu)l=2
z$cC(xfkzb)lDITD)EHzNTXD@CT~?nrYDNclrjEvRr%lryO?)g}!D7I%W=0-QY|5!b
z5zYD~)9}j;#Nb}oC;`_I8BXYcR~FZlp56wUw5bFr_yIwm-q?^o`pFe}`(_^TLi}=O
zxFL^^lo0d=u|pz0nF!TX@SL?OSI@u$fQP}cLaVd`)DGZ{kliWEaicpd`&adxOmj|`
z;I+XL0=GUd%pqr@S$S%-q~b`xyHAoqpR85`vXHIe$EF~MMx!#4468ORz>NfLN(m4T
zBy4Kknz%6&7!%D$14WnsYqE|-4vI~mT9nr))C!lV>rUBLFGiWitzFKIYkjJ#4(Ymq
zKx*}RMfL@9^6Ut(oA$uQ?w83#3vai6*{u5H=4Mqc&Sx=&Jt*S@yy`=fz0>T#CRh>6
z+@`^jfg)@Lu%^6qaY_E<wd*pMsmc&mkN)C#OHPf{;qr$`HkhQqNj8;YK{g6yxw7Gv
z^VtZN35)9JX;__CFM_lUpl_l1QuHKd0-h;1K49vOVA-%bg1_&_#F^8niX2ANDNeT!
zAQE8<*HcAAzf0?0yyp63qga!NC!+HEUq32G5$jlgH`AhS*Zv)B2@q?<F+DU2g@SBu
zZp!Ayx@0mLncZy4Cz-I!lz}ZTO>GE42}Dw%=}XeLz_bRhmNo0P=P(l2=)Zx584{kd
zJQT--u%ViaLeU6E;_3&bUV|wT0j@5t`(Y;W$$F6sdidq{zIsT$cw$^lcvH{Jt@<B;
z+dPn(wk9=bv9PDT{K1_3`=4Kz43<+G13<pAuO$zUwIl^My5Zpw86Fx^KHQu}8-Q_n
zD1aa~{t8x@t_qY~sbVAtx-hhDfE+wYs-y<4G!H%~_^?0o;f~&C35Qsb@Q4ejwlMhV
zX;vi-U)9HxIr+jc2zxjnL+K$I8X3hk4GG=2_+X_FOec)hs#hvLxdHplA~f#9V^JBx
zDkAK|YTOX2-IN4~1-HgcZz(Tk&Jss)KgctHw@PnS%7~+y$4b3Tlqasa5!b}0{<tx%
zvCI=1(=5Y(8rOWA<Ul7D^TPl-2KHNJITgvtQ<%hda?~TE>7)z|6VoFYcuZp8kt;6Y
z84FegtC!*V!rNq_A!o0{=8e&}eIqf<jKs5sHU}Bo14r7L%;3ads>pZWnw9_f*1VeR
zHHo0{U)$f1W5ZrG$!2(DM21pur2|1m;7-R`lZ;dBMd;Ruzab+*#6|$nqn^6d7~vhS
ze0a;03Xx6Fs#NVM&{J>GP}b<z;6`wGTu>Dnh!-R0alsFQuPBekLDoY>IWpvtv7v;d
z`QyRs8A`(wATFFC#%rNFRRV)HA<V*DDf{F)h<kY*^~R%;#?oe%xOp$^W+Y&Un`RQa
zhmyGY@c`2yEZUI{)MPRU6C9L*Iu;*j!ZgSD@6czIBBC&jV^X<MP&BHMss0nyny88C
z7M_VPFrCKdc&s2#rL$Pwrirkz5lN>triX`z;YXh6ddAoY9RP+yh^qrr$p#**_itoC
z{0%uc7DG5?Vjn*ZyodqZ2FiQH+~}1|QU1#tGxB$ztVtA0jvdBoFJGFd$ut%trGID|
zT5Tc`S42&KvmQatPZ%LDN#c=QR^rjTjK)fG3KLzHO0X{%gIEvGD}`1-au`r4HoXA7
zf_R&-32HA$Hsona6f1JXefWU*Q^AHzMQbt^u1OSTnHXm{Vm2FRY4Tb)W0OA|v`O-M
zxQd7Kq{wNZKRFg$Sn$i)`MmgldQJY97mv!mF|6!|4hI$71Nc1O_A49WR%8v*Bc>Vp
zAObBn9LWOPIY}c<$-!7o)+=6_FNH7&-@$aD;gcdT%{NP}k~n{H=m)N;#LyEYiZ{^&
zl$-HLU8W*j<IyKEJU3B<i-^OMC5g#kd}HLSO<n`9i`QiA?tBCAdN(DAw%%Is%9Tt@
z{_4F&m;$Tv+g~}10m`1BZnypBd#AuakT!{u?8P7EYm1xmpI)Dp*JrYl#Nfw6i0=O6
zWJAWVSZN|P1j5$ZEd8DdAVYX0OMVC}l4mRym3+P+v0`3Ih_W|?=zvGzYg)vsWv1qr
z0%lW|;XYW!O4M9ZjIWx6Il@pOz5?9~MXi_}$C{4mP*Xy9?PFxNa2Q$#rtT8Z{1~!k
zzwDpaL(=B;B>;SqGLIi=k+@s(i$%Y@bt5OfSFg#pUpOjLBP8y@)k^lxqk4D032{WS
zB&LXShCYo(Ba+9PToE?!BF1o1An$#clv9D$odu?IRYc!|Qc^{*>>2`SH?ZnDpDiC3
zD}Zhiz@ISY4@84arG&)%Ekx%F;d#OAMkpP8Yc;qgS-VM^-;USBXN##KZCsbvyCGkN
z`G#)-7dL$J11MUX7{mGY*N(`(QR08_u)XI8BHe_2Ze~^f_|;jtyjqfE*e{Qdiaa`j
zg>Yd?P=pP02tjqLi7Fh-Y2Y=D13DFik1T_%ivV|-AM95E@;VmS<%EGIUJv<-$<;j?
zFz_kThBl&p002m?oa2L;gNqgrtYK(75j;4Y-AGXLI^1MUFq@5F<#q5Hve~Sxudhia
zo0AV01)2$#f2zPA_i##n_k|-eF>Ez%BR89Fl>jl#565`8z%_AP0-nu>7^}lQj~@;s
zYFy(vaI|ge-Bd)l6qv%aPh*<nKnl~Cm8srN9Wx^_ZM17Qrg>$=b?<;_HnSlcxssg4
z+=-9ZJhEA?%jxlm{I5_-PV65-Ee@F)y`Qb@?QKt!Hts)uwP9ledA@mJN&e{PH)Op~
zlN3Beo(5TSz%c=hndXob2%EqnQ4&bKU~<ENz%ryspp(D}cJrwq=zJa1a=C6}ogjy*
zZKm_mXO^0c4`vw#tLKb0zMisQ5;p;DKy5VZ?XJaK10S+12zvv>y@~Ywg_gX%<dF=B
z`^BSa`R4%lSembs{9f*FV)v~Cv;+*M-AakUHA$P;=5Y;LH!-h>8${1dJufh4_<?DX
zG4abd^(5_(3)e=oH@Mb4_y22%yNI{gO?bFuH#a1MH`|X_ymEHgBdbN&x3Ns%x8Ygx
z_^~nkXwYn^ucd#Bdnb3#nnwsif~j1s$xlC;mp}f+9KhC+iMSsDp&D|01iqoL8Ee93
zV46<sj_pX&+;#<0huBHL1SvIRYQFps)MlS4SK&~q02*Lj^Gd478}$ihv#+#p0Fc|A
zTnFp1Z@uXslgA{d29Dl^spOTbn`rx*{PV9JmEj~ODp=xngk=+#1l*V=28l^35pEp2
zaZOU?GiEk}X;YWDG`KdHHhq{nw@O)u&lTT%RolwO?Ul#81&l+r@HXj}Ik<2A+n2A&
z@09BD{OL)h1exdlR&DS0b9<7sY1`%Gm(6@hzW44;`Kz-_%3bdOmO%f~WF5}@UWp-s
zSQ_qpoZd^)Bfz-bjwszX+<=gv;%0zsv=*i&ueV*+G4(xowe&&*=hj<JW!~Zs%e#qN
zKS(Wkyp>1a9(ixYFF(4t0Zjzp{^}7)s~KjNxNjlSfj(t0Ng)uUd@eMeX+qITfx)+1
zPzJY5S<gHZ?)Kc}?_}TfPkT7`xuz>^-KV@ccyKi_N5L<P`G)*|Kbw_Ip(@{caz8w)
zg6ewB_1sB6yRFQgBW(hTguS?)lfQa>R(^76L&5={9LKDyFHSWu>&g!gk#xs>4unn8
zyBjyz0F@xn<k?Akf$__LxnEm`xYYyY6i~zsd*A!Ze);}|b;K+Y`DY;RRNQLZy)v}N
zTP0wg37wKOJ9swucGtR_m^SV5nPR(q6K2X|dQKhoWH5N&kk{wEax>eK@4$7J#QmGk
z9>OYA#5WZn)5_jT_Y`RpNW4+k7B=NS!h7PwIRt%&hsYV_A<~rLct8@#^tK)%ck|Y2
zpnrDF`SV@_`!mF?+Tfcj<ng2wV4m^F2djShyH7#f(CYu`^G76!#Zs-Q<nu~<aO>S~
zTvO6+Y-^31UM2hy$;b<s5cC$zfLAv?@}ECiksM4Vzy17SOnql8p1sN1dxEsdPx|(>
z<io40@`pd0!3@DF1{?$M5NTrVN6c^pNhLAhnC65Tyl&mfLxe!tjT^zu*I8rZ=2QpD
z=BZXed9R!Uaew#x8o=(Ae*$0Ec!U#htf^!--s?fTW`k{}{1}bf<JpksF%c&M?fVl<
zfB*624avg0<afS$SdL7ll*UbVK$ShS`TiBQ-TZB|c8ygpF!=Yz`9=A+Kb?`~ypCD$
z%w!WTeIRVa6HX85Dd`;8-~b12I&c17+uDFunh4E4c%8)5_%vp@RT}Upfv@dH3wgvZ
zuFLT$taby_k$#ojd$QPT_tt(NZD;2jB|r4O!gNl|eL(Q5P!*GVylNuQ)paanypWUe
zWKhk%B(m`izGsMgSCh6O>;l%6`@wrR<d5FCf!NoGF%7%*bNiYI`UICgOh6f8Yy&J7
zKn;5@6SjG%4RITA!+{nPAVA!R=}^Yxh#VpnegIH=;Y&{94!~8*61S0_O&@d#7<}`s
zk{=HSCq0-EJPhKF!tTC-SUmH&nw-Cxl_AW;Jb;<OtfMjhpntpDU*E1Zj~K$Hhsb~a
z#jL#a@v8FGJc0qoXQ!Gnox%bJ7;xkaM-sR35aG=mgpJ>mfaU;>-t@@-mzqV`xV<Wp
z+F!rFqGa}uo;?hIT6zgUaTyHp3<3o9^mpW&GVyIZOO&|;vnNk`^Ad(jAfsQdAxa?M
zyz`~1eB<%`j!WR~$M~+)v<+b|tmWj7e|kk;zPOH&WWSt3uqSHRQz<N7njAv(Fb1RP
zxbzJQVVkFw-<KZ(np!s(S@k348cijfW}k<t<U_<N2|`Pu#_fl#+iKiKdNzH~C1CJP
zY?Hu!_>dbIL~RJMd@=|&mBr#E?;_ZgACuh<jmKdQ-2KYQuF|xPCP;1Y@*EZ|_~}(S
zw^US%7Mvb#$y0FYQ&ZAG*o=s01{`@)2aT}J17|dnj>e5M(5S!Mg2s)&_t!FB`LlNy
zLFyj)jV~UA`A7qQP~~OhX4Bmv0pgojCBC(`tz80-V3ns3g0a1|=#v>>{5$U~N(M1Y
z{^7HSWHc31<i1-mzH3NZYu9=L%h@Zd@*TtwxsF8(M&Kdx1QsoLWV9hEME**qh6l=i
zeJ77rFL6_rWbUsZWF~^b$}EZd?FD5j`Sqs`Kx;8J?mKDSma!7pSqYGQshH6OYW96<
z2IU6cz_Fwm@O*yFFMs<n;`6{I@Si?+NDhoA6>+1&u5%3B6{Ky<Ayvda_}RGy`SUmD
z5Htp%Ofe<>i|`OR!2w51Nly(8WAOq#CEW}-?kt=hoZj8UJ)}sR*S02KX_a8(Ml5a+
z_n%;bf*%_9ufqQ4r#Z#C13ox6&|b+cB|x$!#yR!g?5j6y@47srTmmu448;A~wTx_*
zuE_5`e@IRp7*@nhv*B(U%6Z^z+J>-;@DTaix39~efmkXC3%L&-BG2z{$}z+cNg?L+
z5bW3V!RBj{CG7tACYX&TqDUD~<sz>Pe!sz($*})@IERq60goJp{f`rI_L8eqf2r8q
zy&{1we8av?J2$3JDwo$0#HkM<Qp7qvOYnyN32;7v$#&DjQ7YRS=etA@4>V~T8}>%7
zEPwIyYw|ZAE+Z(qR}QDV@>LM_fwT{vAt|+7Q3}fy@%6|O_N|fU1~xSj2D1-&YFI|C
zCTk$>ESBCmH-|v@A&(lk;qp&b<G!^_?b!!M0>n2r^JYn3ZZ8%K=E_pTSe!fRYe7Nr
z%NnA6zB`*io)>Yssi2ra_y^~^Y<DFOBx&oncReNj#!61U^U4+Z5n_m>;Ffl3*dxzP
z*JTop^NCbiMz9PQmn-6H5r0|DP227Z+k7nnf|{hw_{WC0(+D=dhGomL<(7OjpTl^8
zR}KQumbfiyc9R5*Vq!4P!F8peAmA0(RZU~zkxeY>kijx$?|`^tSVigpmNC=w705de
zwz1@aB5gH12F8YR2mP-lA75XWKm5s6dHZHwhOubDW8<QNK8;}o=VW?Vx%6?(L`&G8
z?U6E|G@#~>9T!X08h2e*p>bzQEjdr(#%zTHqX>@)Agk!fNFQuSe>Pdz(tB3|#JL;e
zByK8%abFc0b^~s&Aa0lh&tA_;3ky6D=aG<c34Cx-zN4hAHEInS{<u+06f_qNc;nM0
z`2#q{bFtdVSOAL_z(Zu5tIR|(;K)U8^{V8IA;Ozsx6dYlUgBoROHJGWwBzHtffZdp
zna|27h<iVYo9<OkH`)V5AMxJV%}U@wlmKzg4>^LSQ>CB)#bKBPN5fc*8#9F0D+uj?
z;Bq-k)H^g9l|(e8!q93)!nXpxA0&w1SML#O((W(se%R|^j0{G?7<B#e{3d2HU6%$H
zEf|Y><<XI<JUSJS5tu_5^eG;PIYfn2wdRn|`=F?M;oJcJ@TD<M5DH+8KgJ@FRXKw-
z0*kePtb@4!@~xW^^uxwIky3u#DS(=qckjkFxoth8^X*?Nft`?mA#JX~iV5v%Su_sB
z2mG7zVh{uIVK0_3^U5nQ!ERs{<-hp)QQ1G1-1btHvI&sy6wdF<a%23Gz0Wuo3!Pob
z%ff12HZjn+0mt_Zypk7@pT`nI>-idf1+g$_c~ypdB?Rw}%hdR&9Go7L;|Io+P$_t`
z_3Oi&vuQ^HidcK@2bV>gUCGMK{D#agt;>zY71_va%4Q=hmC!K!Tt(6`tfPsyoLJBY
zTenY!Vjy~~gtH%U9rlmJ)Ig5uWv4-HuEVBQ0+c{EH?*XNrPH{K*&J{_JGUs;f&KSa
z15))SBwKCBlha{&?&O$SXgd)NV&(U+jHTe@;Nlz8F4JCaW8S^o?m20@1y%z&%wg*J
z*=rkeZK)uem_}XmVA0P|MA8To8lskmAV$?vP73*~RG{tg*cZa9c`zmw4<}(aB<evF
zKWN~m52od@gP8pY@-Uj8yT5xWxZT*cai8S1H?UmP;(A^_nAwmki2ApNAIyq`;GKhb
zC0;C-R?e&Y-~mu05w4^?B*92rxlk2rm?B&(OSM);jWX<m9yu|ckSC9h$SBsLwD)2+
zqGRt}vr-=LwG63JIa$sW<@^os&wNG}!9^Qbcd`VY@gNdrGnAHCG$vuJ*;@5S#Rqdr
z(A&URPeU*z1jHSZqmv1FXkQX06fB;?!8dH~=SpSV<3IO|w5idV*9U6Vm*+O+mGdjG
zQP)8NaV#{8#dPtS9RN{NW9BOim*(P%&lF-YpOIRnB>rFsE0iPPQv})^7Qy9>pr7_y
zE-xEc?6X-f%aey<^6ZH*xb7s?4Z7b#yvO(Gt~OuCc){#a2KQoFE-hCj7><Hy@xvE`
zf4d)3fN|Hjl6;x>ppeCSmo>y54}r9k62d+3WA%7?lW<8lwp9gzujh-h2F<)yF36dE
zVR`=4xSDaMW0^eoqw#lDz_zgmLIQ3M$inP;31KgOfmqw~nY#Fb5s3o#DXbFjg&J5b
z<)s9^A@>ABVTmIQMl7BN_XL4+kJQ0SdCU_b!Iz=Tc<L27j@975d}3G*!ekhRR~t8X
zpZ8J-_k^_F+Af9lqmLHlla&Tuqlaa3ct}N*BcWqyP-(%I&GI^2Kiw%o+;yyGUaR0-
z1HSQak`IIs3`WPm=3p2#IaMF^@};ueSXsqN%~|=ziG+Ol;Ys`=MwQImKOFZ`h!1kx
z?t5_quYo`Qa9-Y<tH~q=a;HXzB^nASSyKL7f4G4^E#3nVH$lu*w>c%)j~`6l0}tfS
z%?$8pPapdFh!n~dnOj+xB@p=Yhr;r;Gt)8+mqBjs>rff?kCnhZkbwJ{&lan4?%ImH
zf;CcCOMXnGNkdu0jA>}n)V|3*H7F&uYDFqgIGB=OLQpD0Aa%nzEK9!O)<B&+aK5sU
zk)_Q|%*OW03#Z29<iQb)`{-vwm%Mj>?>cE4p=FB|`RRvq^5aW+2x<fqHSne2FUemm
zMbY^3j#{i!=R5M(s)aIUL0sjrK(7Tw)D#`*g(Jec0$))W=%04*i}TAE6)wm>e0)+K
zKR&L=eUQn*eD^XIJb3NndHLS?b!Fx_Ix!BDR1g5<O7XZ4s-TlVu<9NlkN3f74_thh
za^`(#Z@k&uoGfbKT%fpIfo6kyQLkp?e|Th6o;yA5iXf<~*uPc+cUuAm?_`LNXV&Bg
zA1=sj&M(I&$M80pRO2p9C?#B=m>aQ8?2~JnjXD&SI+;a93-tM@pb*#{ysIPpVZIMI
zuVUeqxz!CQjcfA6luv#I;U5l;C7iaqXieqatv`2_w9Ny4V>v7T>5W;rSq#eQ15*-@
zM%1e`f7x6zXn%)}SacR;Nnt9{Qb=y1aB5Mw4t=YXGn!azX*~nNSdgzDk79M^gIH2a
zn^gKV(e8gQ?wEVA1{>aAy)h%7tcsl4KMnhT4CW69xV?ghAlg~PGw%TZLwMWEk9VT8
zv0rsBpmc1&g!S=_IeBI}AiweSK^aL#d0TJMR;L}iXC?4iBw+AfDA(kB@6O6kuM{yz
z4l~`@5VU8kZ3C|~mLd3vSL`_{0gnIV8=mKeGHP7LDa$N#iu-!Qd=ip3+OA??^YY><
z%!%vr_rCxo<>4tOcF(;r4c;}<HbOf;vnqe^>UBig8<WEmWBC5GkwUwMq};+XU%ivt
z$?5Ew8l4=yr?tU$gXT1fbA-28sml55b8;wAlmGc^$7C1-mDDKB0GTPiS5tE@XuJNy
zpI(!yFA2g1kR0%ud$INV8+n`5fV*?tT}S6DK${}2lw%cK2JZazc^UE-<#(}e-vPK%
zu{>a5H!Fd=BLN3c^B7qC^PkViJe0+U4opid9MZ}n&TG86z}fDZL~Zg-rW>3Nk*hM!
zd8a>3@+5D}F2-j)o0khW=j7=FLHVs`k4Q`@jCY^7?+R%fl6e2plKj7~&0#^!X_*=s
z(!Xv-4qd4-a5%qqT4U}y?Hm|UnsmD|CZFP^JawQWkxxMuac@rkw{M(Kt23MHH0AeV
zYQE#8xpn#Xugpp`F)GKV#+6yBMWeMFd_4j%Z!gR?Z!z3A@;52-`fcXCNzJ|B6Em~0
zB9+pr{L2@P$kC~^CGLI#w0WOf0$1R!`bR&Tl~!m7-W`*QTj(KmtBpjiiPtD6x-{`i
z)Em0ixm*7loa-|!rCrlx^1-#6atsRN@4g6yF%eOH^s^RhZSl@>ereJ+B=OPJ75Tqj
zxgjSH>{rHqdKGkOQ{CV2&aMunC^%IWJ4(pTak~LmyGqE8q$wnl_r;rw5^81S|NOO+
zd;ay@+>5IV8}fhucm{7f6POS)3~d*$hP`rY3-AthdSuMQ?Kaboql~o4nOgUa<u%D>
zm*xNX<`KMwS>oPKhBp7sBw#RhQ7I_b5sQd#_alyWt$9PWv>jj#So?M7@Q5-IqJFm#
z&{XI=7>4|nqXbHSG&?6_fr9+YZ=O(Z`sUd*HGi4(mm+O*A(tVvfBnO2a&U4#G}@Fh
z(06`W9LXpN>r3r?RdeaRQr%j|lw`WKzWZ!vpCr%MmQSuP$Yi)EzYmQ&6$}4z1lDQ(
zf!Z_of=jUdn;%@3U~E*Gr)Zw&`t@|(2Y!LAvefrN=imB1Y^m=Q-%c<j?paJ|@YL4j
zfB(jDnHY|@NqxIIHs4C1p9BovX#)Izetb=0$#FP4KtX}+x@#jQ-J6DYJE!Z=1^501
zI?s!KKH8<ac8tP!Ze~vQh0F5$l^d7>001BWNkl<Z-#ji!@(!N84lj09`Ai3&+ebxx
zKd|ERW?uf}_3JV|GOjdi`ebwC1=5a8j_9P^r(2m$xz7*Fc7L2a)eiT&Kdj%*!y8b0
z-<^+rn$m0arkup<($%bAt=LWy>$*|uYIpY^et-Tz<x3U$i`QqQ5lG2F%pR@ayYdCm
z+zWLdaBSp$t9xPYnYu5kjs9}(x)(k2ci$KGMUDReyoj=mxQdO=80oxjmb06cz@18f
zm?ZhFVvzkiug*vyI*hTBv{Dw^F2pFK@COx5xfUZ;|L{O)&T*at9MGFYeNchvRxavb
zU*jF+*uE;OpD)#ybIdWkI(X+a?CRI@e);RyuL*haZed+}h2N>PT;)i7TuJ78@7|P5
zJt}A5gI#tATdA_HvhCf^`f%b~;#EL3$Nu_NS9VxRtk1?9+rT-RNlxyYk{?~3L8#GX
zc?P4qta3Mg_4;(X16eIK*!!dRZ^{*{K=at)F#y;ZE$^dCf94Bxp>4bSz&73Yf_H>v
zxlzu15V!%?SVVYS-o833hv0_z%_k11ft*fhRm}de66h-dg)0E7T&>A}eRD=u>k)Z$
zdK6ql_f%9-0M%IQ#~5k^&75}i;6Wbd(QMfa|7<yd4BeG(j4Y+9<06>SwV9@p(+Bp+
zTi0e}-$ys$5_nJ%_b-d}&!uVW2e2h)FE7h4ZdCL@7v0Ek!TbvSK3a3bd6wDc!!ljv
z=s)R{H7V<M@AG$bn?5-Zf%0_s31Ld=;fV?P+xM3+eHF8sAX%K+^&4fu?{e|xn*8`;
zPL54-5C%V1`0iRR`b&1n2z9o*2PU87YW9u4cCYMvkLd$z`k`RWzVW$dd0v+X3t2pb
zAJM-(w=UNfGrRsC*e`G&CBTOk|KI#%LEf6L%R|!>iXb)K``}t>zny$HceL@1Hq9HU
zJ5S-8^<8ba>${&3l8LFS@*xuP4&4GzP66v5ZOBy&mbw*~&nvahOxk=9NfOH&dHEhz
zl9?VI#q?)?n<V(9`h8fBg6aRE(D0?5f2IuUC_y-BTd+Ot7-99M?sjPF8o^=-d5OtS
z&&?}WG)*gLY?p474=^FwLRo(J;i9DCn0|{GF3Kkr=gfWJ+lJX!DbH>DaR7`Gx(x3M
z?}L_>k+G@Ib7r3@&$ACTL5eAlU1eCF*B3+Vh8W_R{P6t+Ovb6IayVr-D}ik#KrE4a
z7S^)zcjwlipiE%KwC~p31N3%b-(Zp{dQw<bWwe5*j)__G;W<|u2H*O8r%t=Ps^=)1
zXrH{3K!}J`a#&tEyMSl4q`m|D{=D1&&)$3gNS<VOVy`NFW@UNPzNgKY?lC(v+*wC1
zxjY=XN1prPB%E-7An+&Qa1ivfpkMSa2oMCEfV+bPLK5$|T;4*w<t}I4aCdgc?0DBR
z?QM0JH|aC0^!dDq_x(m@WmQ-Av?-I(ofYv7A1_|Kc=00Q#k~`4okrH=w_n_mnR-^n
zp?!~oPz@^VM)zhmhA-mi(X+O=NX;Y+4rVn1h>bH_)3PAV!<7*NQRDeAx*5-YF5Vi%
zBct;A)iP$iMFk##y=#qc-?^)^@*ytI92y%!Uyww?1a05U&3@?K7l3=v4}_8aQyW=#
z<ZrNUgTIesVPPFuHOl>Xt@x9frhJ6kYkgRsYFwu4nH~hXK!60h4zbA3KD;H3{(=k-
z6r30kafy@dKaaD-T;i?&5f3>+_^o4KZS{!agbbw1g?R`6d|sNT<*(%jaV$P6MN#FU
zv0?dWt|cE{n$;VatjGPDdy;9h9EfS;Ce*3Ead|}!j!Y@r%>hV&qMrQkg+0!utjGy}
z7(k;jv`PBOgw9JpHL`Dz%9z^1d=#G{gBXWJ(>Q68b9s-rY(#26)hn-W_az48Jpk|c
z6qF!ADa>v(1Q9{Ev{I3upIeYaBg4vd=te676odo}fdqSFKg6vjs;RNQ&~!errbi4P
zB~E277mvXk`a&zo0Q`J*W;fxPOeS!xen{T@VouH+gC3MD`+^aBrU!v`2#`P$k#5W`
z%bQm!a`ezqaM;+lA#=eAAEDdD9FtRXOpt){+p#*#1;$(Mqtn9>*@s$O*eWlFcSj72
zoi)AKb{J11{sdQ(&mN^_(gOUsa@cOI<J#O4r>!#!WRmBvFUXB@3ddM-m_@i0K;zNs
z=u`;Y&JQw7RE$bi+!8&A!!-C&7DXjR;V)WhSUwgvvKim!#d4#clbLFHEE7NO2Aj=%
zTS$0lY*2oAr7Cxznv@)#&bTp5c8QB^Ta(Mvi*jLMT}FyU)woBkWb6yVHn!33pdX@s
zis0GN7wi-K6n04GcGi8KJ`MACeXv<yFb@ZNgTLYc{H%YQ$Y64)D4)!?R0|vNcX#&1
zE<u@HUd<LxL;dp88CBIx=8O0PG;|CF96(j~1OB^JdpriBFvKD5@>}tm_~?J?XL)R5
zGp^;u!p-gS@Z|+@7*1}6E8t-~-ZE23$cK1FaeckxXyQHe&9*sh66}5uxCL-_?_Xb$
zsUp>&_M<X9%ECEjGs6&!Mx-Yv28Vt}@!2Z%*FTI9<Q2uz^qP&v*y@kV-(o1xn5Sli
zO-TSN2UVkMl7^0wML95DgiJnV(RY<ygDm*1ON%lH9l%K}fmBSzzGw%5Z<F`*@K$gH
zt>t$-^Siha>@;4OB6J6tgibBT^}F&QK1rCeg}z8bHE&;X0OG18=tm#Z=b(U4VNN~w
zK8JwfA^uEbAMLZ-RT&#T91&V$YaPlEZ-`+r{t%~WY!z-XoTuY-L1Pu=)J6csBW5%w
ze8xVpyFD-Xvl1xJ*_MO1;h#+O;nl4ndFSGyeD(AMR{h|a?*rHGiPL6v=N3!yG31a#
z15^U#W((!OQ7Pk~?AzIFhs}s?mSVgp4%$Ru@w<C^7Z;N!;Sv0TJi`2ZUQzx&%$4cO
zLS7?~#lLlB6)#xS(8aD^9=to=QUpS~7V)Ot1?a>c#N)<p_nhrRTky|dY&N_d%oUE^
zVaJBYaB^|t^kJH?AAG(Z&Jo<Ba@xb0pXKS?P%e+Fz8_*R-T`iLW0iUIOb-GE0mTPQ
z@Sk2=lBHH!)d}-Ro#HvUTKv=19N25+cxn3|F)6}*IJnviaa2z>flS*8Cudt4znWwo
z;ZMhsU+Ke5`sL^oYvS-XDueaps+DEK9x3GI=1R+-nsRkPl6x}S=Cqk>4Jtk_;fb(h
zGOdqfHX&2$yxz%5Q&!Z?sLT^#YIj7?Bn*SU&TbZN)0vyZTmX+iaKE5Nb`b(+lu*kL
z(pjeLJeI&^RX&%KX*{jP-P}P;K%HtBt@s^jqaoCDeSUgbD(eXuhfZwOgY7HJX7Wck
z7|b`cgYaaW&H$f=unIxg{t+Z%Cf=wsNYu4_U!catAMUPmsr%_nKb|-%;Q`?y>J0AN
zGVR$t2mn*dwT4{2y^2Q)iprdlXh*09JTiPzVCjc}t?k1+)wc9ZOmf@jL;)R{wI#tv
zluFCI8=l6oLD)gv`OwJHdJZegWjS+nRMx?zB<_*h-WJhz09n_gS)Wgr_0<QH;j{}z
z+)NXag0@B}Z~zlfgic~l&{#PXw^%z=Hbqb&jS>=MNIQzagl1d@?n~WF=W3_~1R+`<
zbU3vEuJ<S90ubTAI3BEp2E5&32)`D@Qdein(n@3$aO5Cp6f|mkm%%|pgFosI;@{B|
znhJkd24T#lnBp>72>_39B-cRWEsduh>gin;=%Q*VbTWNtxRJyS$t;eIUY{%D{m%wA
zhwpFM80On^?+pkzTCpy-7fNz{r70tPDIK^)`V-LzHdT?UTbnuJ1EdS$DPH>^qANEv
zogsbdZnQo@prz2k;mcuOZFSS!9Brh&`C>LFw-y#<rBcVUW%o{ZwnemA7gm;fV{hQO
zurwZd)r%DHiz^*AGWLyKVK~9qJ%r2S288xCNM6YOX3?e)>;#CK$kCo}=a-ekB@6*+
z$w`d*k{P)&TamBhCMTcKx}Tlg&hj3`H~XRn&SQ27uR5kjwMZkR{IE85cXig#AQbys
z`hMiZ$Cc~wAZnR^7B900c#8lFiSy`mSt*|Ow*|9rig^0zJWeHj4Tzk@i5_NYh~E~u
z_pz@apm+ezZFaFNcd7|_VhFmi!E_Oy9NHOm;NT`6+P8tp{OlXHk4Hw3>Y80X^tQN$
zt&GdN5CIbjFXC%tm_`W;Fk5Z+ZFy=2@dpJlGMG)t)s;0B2l6n7n+V!QRFr);$M%Re
zYR={ODh5;qgLoLX3!Mzffygqpy0Pw^CTu6ex<paG<@y?wIwj?qK|JCMam<xv+~Y@L
z67$eRuwupt>j(~`MsBMgJqW0N5b6cIZ^(BL*Vn+Y@;u`XH;P!O`vNZ1ELPVfo2O_5
z{evG#sRxH5qT&$R6T)UY{Xh^f&1zk64nHZA1#k!8e%EkPXujN%TdNo}L8d4=#Mh{7
z=F`n|)`4<FPMR|%Ox9ow91>egy5-RG+b<9x`CNktZF#jSwe^%LfFtcO!*HUa!x?q7
zAv|%D%ew$wHE9BVbr6;^M5UxH*%ZVSOwJMHvo|_c!VB$WT!`caFf7<lbWz}^V+{4t
zxLO!9@fm1I?SD8{xyrxUNZ^UYD(DWlQ``{ltY3So_OERbZ32V?>&|iwZ=pMd-vr!d
zRf|>`?PaxnZAc4`3MQ+k59j3fP8D=Utzt>^f4o(a`38UrdP*)WG=vTFVR^JWjfQo4
z^4mvF;Yp#@Y72S{@Yrx3orer}I=AhrzJ^mgHCb)-O92?C6R5JV?NG3OX!mUgNM{(o
zIdzo)^Jk9c<d4n_$YeG^DRB7z_s<sObCici*bS75r%W4_8Dy;f?Zw7l2xK@l04`R!
zn!^Ojj)e(I)$iV){RIKV1K>gh<8uxiL_U=TQuM26Fk(=MgC4;sN>!w3BNPt7Lb6TP
zX1=yA6C-K)y+e4sx7w8VuGa)_vMcTz;xRvF^$cjzv4MW6U{HK`ry<MGi3i$^Tu=*_
zy~BGVtgnmOZQaEH7$l%hl4`S0DwT%PRUSLmnZU)k>)&k=ZRSFvy<Bd9sA16zDCq)4
z>tVILYgyeRprLFl`bA!OwkY2{l^5{5YA^|+Tyl}|POS^M-!d&7?Dc-gvC$DIWCc$Y
zji84t)EB=qEy5ms!Ht<3+E73(9gNtfFW&-k3_N>3GM<<3zEG6$#JXI(x+<5koXbO2
zmFWj}0!UF7-NJ<72rPSWE5mTst<yNazBM2}@~Tl314Q7Z3BI!9*q6>Uz3=@50TNhh
zgPg$%FN?hoy*~gvcNhiR&<Zx4MnpHl$m1HUI*|N#z!-iTv}Q7o_t+spxOTlF3s^pq
z_HY=HdE+=3#W?tr7Y1dJY<RgMHy7%1y9RL{C@15&TuIzrUHBc<iFx7IX5i5e&YJkW
zjB=^@GKDe5akO2Aaa%;284_4jFQ{h_Q5E{d74k0g2*)t}@XZFgC4~Eq8scZiItK2E
z@wC(yD)N)-4f)!cLBTl!h(;XICgIlXeSQ%*)UzYcD04V`{J4C0pgt-ChE356PsKRm
z6DHi5ZnlF&yN<p9PAT&01ZusZ4c!9Xga=L7N6tt4h#bTcIQZ`zg^B_o>cuY><=?$u
zmTTa=b66LS=I~lI;t+>pIl9X<hH+>9Rw(?<8J3TPp2vZvNO#N4SE*<1a|m!;lCV`8
z<WSwJGNe6@3K5xzSS0bzj=^RK=U0%RGcTVi%D*_9i*S+50-p(42hm;w#iiX3CXP(e
zcb?8G!DcSJ#7A;PJa<1=nw4c`xBFVCA-oHvh-3w?y7P)Vu8qK0xW(Vx-X_uZgaTB8
zhy2<q9Ka|lHinZcS-*`dgI8O)^Uq?o`P(<<bg5Dq&dW=PLn6-(;w?Wmm4urnoXMh&
zVwmOYE7D#cS8vS#@hmFIMWn`*4bz!LW9`U4gaglgk_%`mT-Z18W8GmK%m@|2PQBvB
z>ZgWu`1yE9)k40>d|D0;@WN43-oDwuOV(*Q4G~EVyTdn@@q#<#f0lm)W1lzcqJf-H
z5ZE2046rg|C%r0|j5sL;!EwZ%Yu`bDc-_QJ$Qtm9t1)7RqL>m_hhq-O2pYp0v)jSN
zvBR4s8E_^uvt{|4kE-(BZ;Z$&zJYSegfJz=6)O<cJ^R#voE=Td;sW-MaA@HPa4KX}
zNVx51_|1BfQ+9THx$eu?iRtm9x@b-ode=oW>6WIu-?oT0fk8q+Tkq*pl)!@2!~;+p
ztg(EMS{BdjFwEQ}o#5~wU#>&qKLL8-g#83F{voOTn8M{``I+qqiH3VGrj1SDrjrQZ
zGj+!aT{&_5o##@RqwY!=QFos1;3*y+BXVsGCMHxrXmRk>?i;p}L{_icV#$~VM@{nw
zFOAB`KvH-LZ?#mH4=$|8s~2n1L<cbju_7*sc@rPlpM<XlYTw0i!uT$neeYW1ICxFQ
zzUi5L4FNYi-724}$~B1QbV65ACh<&B&B16BbP2sluyIyH-a0ogzXHLmCerd<_-Q$y
zZ``kAd_G{1EN0{nPUa+uLkhn*SCSLYQl5@FAhO#-0)vCd%9wBvc!CXAg!gnaL*jRA
zTzmM<O-br)a^u=(7DwFFwJoB}Oxc(eMk(D&zwu2!{p%e1wY@*Sf=m~%%_P)d;&j=M
zVl-=RuByxypN>GV1WiasVCV<a4k72qzdktfz_;x}Cs42gE(+Y)4%QW7F%WC&_i%O9
z<|)v+)SWQtY=0CD0g8FBbWk|NbXoPwP_ii(uC2;ClsTQ5O3SyNACmI&to)ZdP&r8s
zWkbH^!F;1a+8q|f`?7ew9E3tSIp`>APtp6@mk=N$1!Teh6#gh3fLn<r{M*ooANPQ7
zxZ@&eAf6>ry2i5Lzkp4`e{`ZC$MSfP`rNX-h1KO5$^#M1D72O1h8>YF4RD>rD4QC@
z!&aIyM@djLP#*oaY5Xn$+alV81{;?J)m~qNEEP~wRhsa#Mt8|u8^{3}8-B1!u&t3n
z3$fY<!6x?@dm3<55t60V4C6R){yux}!ED;g4`PDY)j{#H09=MdI|$n8PS!PrIunt}
z8FN`iIJJQ~XapFOP2j*3abIvlP`L;cK*U-vmF0VHEy>$6m^q;%<X?VkT)r`h$0Wv*
zQn?A8*br%LB-&xY&b?(num<ROE)&V;u-u;MLBJqDT*snV8OA2$+9cen+0U>&MEYnD
z(-8((Zh?&`WOyveIyb|SWEH1Mj!)#}o2PQpS}x1~_eojiQW+NyWmj+{xrE_RP)09K
zuQ~f-IRV7eK}S^(hhw#lyi#Zw+s5&6FJ@ar+X&x~p1Z^DK1yN2&N-s3qP`Z6026?Y
zs4$KDat({Wd5p%LfsDs31~H~Gmd|*OK)4pNESHwKIm2&ftUPki-V2t+H=EC;ji4b}
zg@Ws}IQ9;8X>)O2G?T<J$d*oWNwkrO!lrhE3tJNQgKL?KNq3ymvF)5V3Aa8>(sMW`
zk4<}NVW;~Fu=N|5DpanBzdDgJp6^k*47QdhbEm&ru3-Py#oz}oFVrEo#F2C1s>d0#
z{b$eGhY)ahlf<%;xY5A91mY6u0I|d2nmU|E1R=vi#3A~@7!9La{qV<)3H9M0)d1QL
zod4?S0U1F77w4KXFqoF#9ZJgpIc;nnJ~@_=)n;8*95FKNcH@QB^$b#s-AL!_z%uCM
z#8U^8Qb>c|foccAjB;1AEuzg_`oIDep_M9yC3FpPo<u6?8t<T|1+`Vw7p(*r0HRGG
znayC0&xU$`%CzS|7{-TNx?#ZHnO<$m9h_!3j0+x0oP54kmR>#G&}!#laeNZ(SeC^e
zC*k1+$3P*WdZ^uT8#ZR=8rG3Dq&=8}F6w@qoktt8;DTMdI7w~Zc6J!y@1k@<$9*Tz
zztdO_E<&lzv5AblG?|d!d|JV4*BLoG<j`deD=p>`{S586R@DEl4*H?s>@3T}n2kXu
z>_cjc98W{+gMp!y+}T~>8_=^JCIl2$Q9uSV(~-=&l;#>TMtQc!8J0~P3~m4Ai8{X&
z$>MnMAyeqaNsOnIXg9%a4`dQ@WQ?2eA}3D_>Q6uPPe#7`^^8otJuUzKQbPtHV<BcU
z7ydQfB|LpXA2W2t=<HXOP=H0r1>5LGwZ*=>y)B|mBEikB6bSWjc3ox~xM~bHH^H=S
zR!6hLa<u{Qur_E5@W;N{96+Auw15BXu$&oAN+O+*QNS%Tn3I3~`$<_@s>|!=SL8wi
z*V-|_HL2!<d>wP>O4RcCr;8y$vAA%qqdl@#m$5u1P)tZl5I0HMCAY`s#d=bPkVA(L
z;q2X&GV~YVTC8#n#Ne<EgprxfelUMeXf++-!}O(^TwJWl3s@$8>%|cnfSoF2<vHx6
zuj81~TX+{VOZm5gl)&_v(PsL{4lCp1sO1w_I{5LS)+yY`&j7EqFT&_O_x^<d@I3`i
zy9i?1z{K9bCKu7hh;>)MATTC`i0#pk>FBJ2=~$$gBf-_8%dCnEHq)(y9PDq%uRdCk
zTZKM>G{$XB0w>QLE6QYFUEaM?g18W>JTPv!4@1K&Xd<4uV;ovIW3pZ?aM^j3lSyZR
z>qdJv8!ImF@b9*XHaTq)?ZX2iH|J_#@pDQjv_eJ<S#d2ptUz348_kqSxp+vR0LEEq
z$cc^}#H;S(ZkFQ`q6KY&PanqFZQMrs==>6Zjl=JtwYm|(47BHhvhb}lUf4o&vl{#{
zI&A6ySZmbe2qy_BD^g-;ad)uIdQzOgI#1xle*!lnn=Q;dY<UQ3__#I&jc#j~oBT+#
z)p(moJcuRD-+!_o2cXR6>xaQ@pK{lo%1{OS>N^Ya`XZKg;C{Hbq40End_K$w=&OC~
zGj$;w|3<+r%oBAvT*RcDCQ8NvvW<y)KKls*#C0t5@%Cu~o8s;=3Rh#cqTCD?4!eD*
z$1`HpGPvn)J~bl$>{J#+xlhJ(B%@jRvwwV4{@YeVe(>hJy!r{AB81q2Mb~RkE;p8y
z|LF*bwlw6&A1%qdm3}#a!z8>zVur4O5;<C9f!=0x9w4aUZ1#A%2|f6vb&lKah`QzH
zwum-!;ML1)Iwi-Tu;uS>)}>WwpJl8R*N(U`<{#UfZ9p`GDE!W$CO`Pqw7lwNniSB}
zpLBt*&8*ZR$At$k!_YtOw6^X+NDMC*4<739Hmc1-`n)ckPXc&Q%bFz7M*DV)VP7P0
z1^*EAvm~$9As@r33rH0Lka`%KkJ%er*cn1lVOEePZomHJZ*I$LxcW5+0?ngI3lLr1
zEU%%jD28$6Iieru;#~f(_crir>2Xy3<lx{%p<=Qj!%#$)f&iWE+bxr*Hlp|Ep+JB*
zz;W4++k>OHH!z+o$sF{64B%#NJpO&rz$;r!hLur#RuA&Q<c`7cfX3v(xl{4fGOnf*
zB~$p$K-5U`Lp?iO#gay?;RU>Y$ev53rYwR(<_dQVEO-mVpZSI8>?oV#rfoC^bX{w~
z_{+F~{bUh3{R>c1cOSUEEuyX59Wp1Ut-woHu$-kfHteeE5+MeS*6c2S!iF-ceJ|mv
z>P$e*trIxg@`Q(xRf~U@VxoK_hb4qvsaE90VO-6|>*a|=a#s-w6161yViE*(G+mb2
zdR0<T_ZT9wHT7;V>I~O(_>%--ZZy{9!VK>0qI>C2y}u#BX4>tPvsE1BesE3s=|V$B
z@fuP;CL>O&J)+&&GyC(KW4{kXd!&$-DJ&?jELX7!PjR4!2W^s{;2TN8&nP0<%p#7-
zzV-2}{PIKRodm8iHjgngoOFh(`6^{2FvP>=N?rcnpWo0j$wYG9$<2B-RyJ*4YDmh}
z+r`wsWI+4ZDtPz<lLVMxPDuBP>-R*oIiQ9Ivhvi>s{CpmYC%&_wxX3ch_POs)pRvx
zLjZpF5&UIJ`qJjoA<wDKvV&8@@J*R5Bq-50{hhHK+LCPu(|q8|4pr5!5RIIIj5ePo
z(FS+NfL&nN!IXnhD_#!jOrIWGk?S|hctS1fC(y7F8`~5^D~#vdVHh`RSympzTMaEl
zu(R#X6JGF(ONn!cU5wfOWob18qov-!L#<Q&ST3ej?88Z^XL=AI1c-wa1*V~{_b4{H
zK3J?kyifqG;A+p~m7$jrQhsk?m<)?Yhn4tXbdnt&5MiEcqy?4-Z1U9HbE6k&Jc+v+
z#@n<^ghj?>MjBJbs&b^iD#ylhXczDuwCAA^ZI;c9Nhk{7OpgP2@64B>izKTjFG3EF
zO=~C4tS}p3^N)QqS7%(4oG8TnXm`dm!ry7Tm~jd1<rBnl`Fs;)rB;;_`I<}&4Jb0G
zc!V9WOAI+tt`2h9tUQ6fC`{MD8Pp_={)vw<#jSSmFlbsou(2E4Y<;1i&_S^oP~v<-
zcmw5;t6MsTwnKH-56qF}5Q$fz`07BiqDY*=%8fYIBift6eE<0?-2q`EZX6p)$!LNr
z%Q{YZq?LgnrbT8WI!8gB4o0=;W-|^^p8GLTpigM=^<tqV(4zT=9{S;9(+a-f<QG(#
zNEIvmQv<m5jT@IKFue(Ks`qHNokEx7kT<5l(H$Pm%IQKKvYD!@E@!LYN5a7$|An@m
z?`0VM?FaEn<TgKVv#I*lo446;eSCp7{Pde){%38sZ?&yF*fgs6s$P+2a8hBkm{nw;
z)~(%S+yt6{qM3}058+hDNDHrERJ94(4}^_}zuCk?>ksW8#BPHVVYo?OxOBds7)O5|
z5j*l>C75rg&GN(k&~VhTUN6b%VZ6$YBZb7R`$1wYtoLWnLV&b~1g?k&1D+nk@zC08
zwBl>SVd5C^p1AIRitG63wDk%({6kxD6n;n=(KAbD@oWrnTq!NmGEob)S@y=VSVvw)
z<kNb|R$0#C7;P5f%r40r$^ZZ$07*naR3zRdVB7AM)800<a)biQ6mWM%9RGTH0vnTS
zCDr^#%B>A$WA(?Txytif0cn6Ro50}@iPg66!0wu^Gkr&VO%wQOefX^<@y1h4j%UiM
zQILS+vMX^PawSybu^ILSmsM$S9|L$O^vQ7?#q2BLwiaG3Kp2{f*2ZvmaE$vSf=LJ`
zg;Dpu*w7EiTOrz+9^VH4PCJUvw5$M3jhCDHD)KaLS!Qzu$$)#hpXH*<t@n2?LcnmH
zL_3RjU7y71vY~#rvUH=`<02Yw-ytDaT-Pv$Z~bFB#&PLsZ;Wq#kqrihsT=|C7-K%Y
zs~I*ktDrjr4LLNDkqqc)>ON1cZA+$&vej@_$biUkfE|Y{^=Uj0^}$LBgkul`k<D<8
zR7b}jTT!StAj3^Yx2Pc5-oy}sQJ{;xA!b{g_D}|yVd@%YI%%xRSB~ICmLcfv&gHQj
z-#y3utSz)1_mM*9=jGr?PF@&Yl-FiUIMX_$i09DHQnbS^0;vy<;pF;a14uV`SiT*0
zTfFu%<1$<t?uAs!tMbi*Yce^M(*c?CoJU8lz0Z9P0TON=f*_MMigEkW_=5a+x`dm$
z7`yn_j_U+gC$?<^fbHmt1i>h=Ftxkn-G=up9v(iL2BH3IxRBW2D9Q83`lL8O1|@sn
zwCA3PwsG6Jd>#c4$O{L`a<x=~m;{6zTpzisO%2b6S+HwKm#7vY0GQ^<Z#OB#iNZMM
z+mT*@?80;tpt35@6{>P_A}6^*QL+#(>{ias`XY-NyMVqpGgXqy%O$y12KS8(N-p(c
z6MTgI5Jm8?RCqD20nYm~UX(@T@TucCF1e*=e|5<RzADSEfa}PY<tcF4g~9*^Bt;|K
z3hJ321U5o|xRJql9Vis!^khlSFID79g}Bc9B8=aOmoAUaAjQ@gWut<~bAq<UhIGfH
zZ<upioH%xLeLe7soycpsT#|2$H00>m08Xssb%lRFq7i0#&qSNRBe5$C6y?B3S-w8C
zBtO2sB6Wxu7)DVCjc>2I^-s`p4fFBh2%#&8>=SRu&v(*Be<X<VMm~VD5(#VoOeRY5
z^1(hC8Z1g46AwirB!0Wq=*kCuk<Smv*icDcIj|seSC$}lfDF)YN^XEp2WVZm_l&~K
zVRj6m4fzFwB@VOvV5_Ge5%}aLD#bX(^%eQrfpr-h1QLU2b3hV*c5{EkQ0loJBm{^P
z#C49>T)u!+azS36tjaWARH`>{R{^VKH{^+TPQ>RZFjtO5z}PSb<8HuJM#1u*Tziy;
zk?HL$=MFyNJX{2~feGKB0OETYM{*CPO7iSfLI#TiXajB-V^w*-xPDJWn^j{$1X3O|
zUU6_pPEXWi4$tuXdJeiUayT*WiD1w+*I4~)%`{s*JHYDv_&3a>Jw+U6OBXtUM|5~a
zI^A56Zysyns`Q{vI62JFyPZgwh$NrS$pFqcA0MyE*Rb;W#q0`TIw*a?BpSjghAW{;
zv(d--yT5U0=(|m~CPq0xWDW*iq*<@8$Tto&pyQzcg*-!;bo>RUT|9wq6B@l}UjhP2
z9E9Mw&4Xb)K3<krpoQ}1cUIvy=#Btt-X2>W6$fUwW3SQ?c<CJwC9cFxN46-PrqML*
z$<$x}*pSh9v3KP1<r3ei`lEphJE`U>ZWgz|<dQ+b3g53PA1To`ZhHX0tKs<E3sZPx
zw!SJKtztIJ6qIgT-D8T(*7_y0%D)wS@H5*t+XKb<`i}@A&e4&gE!2fMh?8K~@O)LG
zu_V7YRfQZrrxVQp#0e%py<fn!75W%IjN2|2i@0)IgP4SUQI@xta27Q^0Oa%{hc-|e
z1OcZAIn6I<j8Eg_hJpWfoXi*LU9LO^h~9@<-+C1s_Gnq2oP_2y5N!4ZIViTHXL=CW
z3<4adyof?vQM!YZYiFnGvV@Z)A1p)Wt#rpJaM~;n=kJl)@ZJcO*->I2FZwnI$4s{{
z%h1K+>b{O^@%7q@d}qRmWDA4C5CwiYE}OaEGpEf&#%;3#jmEGvaSGs-=A6`TEX%nH
z^u(q}xcxFEYKuAA?G4)q7OVx~BmAZx4PoZ}X>|jk5^P>e<t#T=#tDVA3=NOS;Nakw
zp6OVHonovn$bl5mwsNHc83ZUcHa=PqL98VQaF!n3+=i4fP-9TWe%dz1H_o@K9DHjC
zXug&u@@j!#_ch8mb6E#hgsbtGWY`ybVa2mGBzmC_3IZ{%;{+RUrvb6UGv#^6w@Wyg
z0S%F9JacV08x-oij7k_%`UoD+Dc03^47R9BWbDJIQ!C6vG2JI}{<@;Xp@%vc+1~|&
za&{^y#i3!vd5Qtaps+3XYwnw9vtZ78MaXEVR+DN@zqz&`$?0Wq+;{>jmDi(mk&GLa
zH21bE8^R_`6!^30<ljTXS*}9eB5OFEfMwJ(Q@F_qf;~Jutg>v1clHuzM+D%?p#U*M
zX)P=7&8^~wSHB(uT!j3%njDri!WA(Ar~rH+*fzR}&@|gjVCd@-xxb3Qm_X9?B`ExX
zVyOO%yg$D#FE#Myo)?R7<<>Jj2y6!e5w3$_ER~CL2@e%ipcg0ISH;B@Jfs1_&5LKD
zQ8f0rtfG&QU`9AjBzH85IBQ66r{co=LW0Y1err6~Oxc1a!WK@cePg7A!y34P54tl1
zqRoA@2XR`hy>(&D?&4-eRZIf;%n)Whz9C7X@U^~0$<3_DdyBZ9oWN3ma#iHTlO+a<
z5Gd`%Fb0jI5)O>+%R*du{N)5LE<S-y&b<oNvEzNK^2!u$AK?u1=qMiV939=mOL4Rt
z{lRzi-n>!~=)jT5TuZ((up~>^lzhL0GotH7s2#wKN#6?wTgO%y{2X*+7(0K9Yjzkb
zU`xF4E6$6(QO8Zq!rHRDIJ6)G(3k!0@|fHx_sMUsmF3Kdb-Vz=C2g2Xd+xoj9t1)N
z5YNeQaijg*ow~d+4e=)!lw&#Q$XQ#GkMK}JCR0?xy(yDugxWIp-xl9&3vRPPdOE`$
zVMo1?PZKLjUZD8~IP7PqaDi`lNQOtC-WbRH9+XJ-zKJ#)VuYJZTsFiS^AeWlL#bt4
zb;kn+b!;*v+>(H^oEy^dz-B)2SL~uc1G<WjqI@)#kIJXAumo>b<;iSGUYu};*oTHk
zm0(lmyH`&r5UMx{DxY3olJ{=#{Axe6h*jkPv;ZCebcPG7I*HzD6oByT3)Ql)fyfe&
zaSsG8I5Ae#&^Mkk89$EaVz@kr$Su6^aV)tkFJQGZ0Tq}`c^VpImKrJf74#Cnd~Hd-
zRm?+tgD@+=GU?ep2y}q}X$-eNE@K1ohtPY?C&LaGnsRm+c;5$Yk*grwt9?>k$4Vc%
zl0uATcAfYe7eV~=xV(9!D2nEVctl$=CuB<N&6<qkn*Gbb_tRh&M@B$<#>O7FNcKw+
zZC0GKo}MNF>u=xG%9Ttk%5Y{?&MnsE+-e@WuyKyNKLx;ILPSfAz-yw8KL$Rv2^fUC
z-QM<y1Q=k2j^p!Zc+enGm1nUeIe}}@W5Wd*9KuWDBf}8keEA*Q_L6tb7vad&#q4rL
z{{FK$na3M<XGYiMnMrD790xMtH4bbRk7Ub`{nh1@l>vxQGScj0UjTp}hOR~J*s5?x
zfZ7a#>DCYQXI8{{_C?=%Lk6J~=h>mMoEmDP9yx3jfjC1pp3F7mCT`qcTI!P@eRxNn
zIy@wkBSkluG!y35Gd&1wgn;5Y@N9OmEZ=|Yy4+Z4$^pD+^*d87nZju{z8EtIZIKhX
zMKCFKxmC}D<~SzBp{GaUwyYUK6NhPB`*aCilqjA{!+kSO8f$9}Nv&1o>0DW!AFauu
z;fxG=X7OR{p?zth&31%@n{J9tc<nTuT9Cm^Nsi<f<+J6qOxLoq(1JEPoM=dMx>Rzb
zkiZ{<l6`mBQLqz%FnSdtnM@x#2?XLe6hNIG#7tL&oE_pC%8-VJ;?oJN6ITX%%@C2-
zAwzrr(ww{rE_)R3c%B&-IW#^Xh2jwQ75b%IE@PFk1eKPnawxwfpD(54n(qr}L%<Vq
z*cj2i*npu5t~TGO9~k8O0xmw1+`kS2O$}z~izkO_GKq)vil{>oyXHLB#}_-Y*(G@q
zXXd9NBKdr_D!=^nw*1qt@pjn#pIg;R_WtZ?2#`4=hgN}tu^+#8L*BZ+3Z2(Ud3kDG
zPE6o}8P58X_Ed4IB%589VGz*siw*gFH7j#XTsG@VE1q`($ySPOXpKk_rRWIYrxWNw
z3=1`@nf00+0C#<6q$*DgV^xcL2ZPu@8^MqJeLUXxAmrF#y&nkCW`+cq9T;~+8&|BM
zOCpUyn$4`p1a80G#xqveakg@%0Rj#Uf#ntm2A0N9bMEQ{*%S={<A7%50zM>8u&B0(
zx@^Z%4S523y(hCxIW|y}(L7$az!^xMS0=G0cTKU49Vgq11e;4Ta<A9sR^%t2%z<e3
z$#J~?@-#MH2SF$Yu>nH;20T{BE5I4;izOM$RpfNJCRbLVF%27nxA0qSrSw@Rl3|6t
zPH^lG=u=Q1w<p1GTP3l4Dv}?<0|v)ZRlLT58(&3CqIt-w!TAgfxXF{qOVJcJt2v3B
zgd+Ph%XNACcAxy>+&r%Kj>uC-M>XHQ*iXdip82v6AXQkGch28|SY%eRV8W>Mjmnos
zAU7Ty8Ub-kfN0lbMaTUTGyyKlk%1L#R#xSDB`vq`!V{Sk>V>CzV_hCHTQzhzCd92>
z-8akRf5z>D$d5$60-P`4>9Hq(^JGw-7;HfVnew#9F^k0ihb4}EU__hk=76)486?~!
zm?RcC=qkyruE;=sRgOT`IuE7ybGX*Ig4;~9&9uych?np_TMf^N5kNfs!DToB1o$A|
zb?Dh%2XSbESl94^I-csu;MJMjnhb)o%;HiHZ`F}dlRz23tS+qEUNpMt3eMy0^K<g)
z42Wi~AG_84GBS|Y3q%EotgIh6p=O~woD<o~%8KLx|EWSr7Li{2qTVm_5Mj;M)3VII
zXfk(fHlrWduT=i-i1oVUtS>;MN1(iCFtet8F@(Ozpuc&oo@Z&<AJ!MF2RUuNfHPXF
z$a7OoxxTtCSC*Rc^N()JL0+`M^?MGEp6Nj#gn$!^tjmR)i}IIm-I5BPuR1;4FE1a$
zgTGL(OoBa#Th1KsIf&mfz;o*Mpn@rK-D6-FPvR}r+p8t)v1R0DJuCA~5^wD7fOr$P
z;Q-Ac?(yfywsMJZCqRFwD<^@+cqh|!IfPBm@l0JN3+v$Maj6ixm&hzq6hiuAr$mVJ
z4}%GLphR1nj)q%hX_Ht`SwDAAOSr990;ip?fM67%%pB*tsZY6z<1r0DjzqfwrL#@^
zK&us4JnxXgYZDm=!})w*4tom)JO{*l)0_}+t(E!+NE}FzIJ+^7oIihi)hGc4r+Xc@
zAAbZcI}7T1dbm%HLBBQ$CShTd7U5uhp}I-{EA|8Xqkz7c9AIBGrG!g46)3f7U{HV=
zmU`3|SPcPjc@8Mk*V3oW(&!JoCyc(pOCNZFBb}krC-ws-4CGJ5Wm(o2L|*<VCaG2j
zq0qi6XBMimSnZczTwIc`JTWg{d*+~S=y1~RnH~fP0VUYLyE*6@`RliC$Q8({rwR%A
z>OqkMP)p2P*|w51JSX1sh%0d|5BjhQhLKFlM4_y@^jD#6uY^a!ms)8&@SBun5b!b>
z6+UIiRXp(&53OV6DKgLx1`+Q$4wF$#)FEPo!Y42%0}#!mp{y-OW>J|GN36-HvV6n$
zhtZ1<oM>Am2|!kyHV3W|3(A}-xByatUBhpvj)!S^5d^;`xG-{JRC7qfvCHK&FJn;8
zauP2+Bq1xOLUiWG$$-R(ZUU>5Kv-S&qD^G3U@7>EPwvPZ-me?QjQ{*3&Sn=ec>z(=
z`jnCD14AIfi3k<<MX`HdU@~p;tSKf^av1!_z92D8U^6*^WhiCP?2pdA;G}62r%m20
zpT=;36L`H=#F3~5IPI2P!12((`)EdvPeGr}C^jWAcr49c?7Lo@?hOKD?q2)wmi+qi
zvcAgx;soT_V_;5{U>Dm&poU|_J-5<#3?uh-%22m407YeWtn}*0vxetr>Nw%V&2xwA
zPW-{z8SUZ=IeZO11uC8a-Qf%BY31Vc;IQ!n{UHtNq(Ar8!h4JT(1^A*oWLU>4Tx+Y
zmk<pAt&WQy{L$S2r$?FR8i<8*k-i;#_>yT!Y<M=4#3%&<&6(5yWn~y~x;GH)zSxfY
zSd-6hEXuDhE|Z$d^VobmJPJi#nE5%G5hfwwGuUuqQ&_^bz6kq)$jts|p)V-T2>XKl
zsC~)4ApE)6OfK6`nDk@0R(4o^hz}&{R5&&<RDlYFRhg+K<hR&Fefj*X{KJ<VckY&{
zyRUD0HGXgqP}~Cp_rb+E`K$NuV1?H&PmhQ^hYKq_Y|!mSt>HOs;wo{S_{NnV@tjO!
z73v;p_%-nDm_^VXFS;{)XL>S<yiH8H<DNVtv*?(TkU3!)EX&G%a1iL8(?ccNR-^+!
zJMmtFu-eHu$<etV{rEG$F}(rbhyiUS9Nwne;;Cbg{~;GjncLE8RbKmeM(*G-<kQ0m
zeUxI5TsA}#w&Lgp3PUV|A>$GOJNsi}UqHNp$${K9(-KjwPx#HB<xP7t!}KhZn$9T3
zIXzyJOW5WAsNRPSrWtwq$dH^oIO4hc&GXqT|DONefB<O#cU3OkUXuU#<_&Pf>vD7u
za%^bn92vxMUTn0J=`e!X+3FA%iKoOlTVawZA%mzkX^&@6_^K5z36fzTuInlvcuu|D
zd`O#{`phT9{ji+QIy|iJM?$o%^436p8__TVP1}AJpSBSIOKWx*7RKM}Zi<fj@%!-7
zy!__cD$c_9%h|C$eF!0!hb$W+5F)9;Z7X=N4`|Fb_=k3w-tx3QFq?5KER5gPtsIO~
z@0-VpYXrytUYJ~xYb$+n3+HZs@$nrwgiT56XGf-8v*>y5Z3vJrVb_x}`7dwZkV|+(
zoEv^$J+Ou|(A2Rrtb1f!;Ti631`)$i+8h_eZKk7bjEUKX_sq-EG5^k=h0%T-=8+QZ
zuz}Wa^CQ5vGLH*DTh-}Nhw+FVPjgH!tm3HLEKYbpwl|6;BlPt0#0ED3H{(3Es;j})
z?7Q^^^Rl>G<-1iF2N30fHPrj)SXG{1!kO(G{qn1ei}KvDd3oijDGVxd^^a#@Y*qJO
z*h7W@@SOULUi)ZTes*CAhY!GELymoVf|?<DSuWPUzTKJ_zS1TUHXPr~4&$?o&hPD(
z`!M1?Hlp3x7z0YDfA2enKp&8~jt$%Q!DYV%8Sq#(A<s?r$@n0S+2M>j#T<9zJmTCo
zcRlRBVE(KpIUXL>9D<zjnTfhwS%#c`p(U?<G9#xB49e(W9)rt?T{f?6FJv!4K#3?;
zlJ8%fmG8edt#a%qaVqM$Dcp9%5z;|yKAKqM%iyV{HJdOr0&egO!_03d*n9U(+)jY*
z1FVBXsCBso4SqlTa7J<<ddCO*pb(4Cb@7NFPlh;o{{t-cp=HGZL2jGk94dxCID%K@
z$NO|5dL3e)-=3fG8=()a3cZYX7zDW3=ADe2!13?DbyHTL{AnWJC%=Q^ePej7hGLNi
zp^tjAW)mmF-)8Y1w||dlKkgpbcKJBRj@|BGpPP}JOAVYC?U%2B`xpT?YR`2!MNr$$
z@Ucha0O7_C2O@7zK84$DM+d1#rcZwS@vIJBo)7QjfF66rdlh)#5Kw}RjmK47g87@@
zUYC#WlyPw`Azuf<K7vzGgHTIBu?X>nc(b2Pk7)0L-Y3zbXyg)fmB04IqAJ{ac1&<V
z#g6#x&ZpBj_$Vf!ScfusibGz+jm{xVNEhbo5R=@NGR~s&v<wGz&+K6cKqSJaxnBF|
zmi*-N1zg%nLQ|)xw!8uAuYqWUc(UD1_B{+KQ~I%&o4EViMxwo1sX@8YjA}MJ1kGm8
zOl-VJvm0AV!p+T7o}(>*+de*;7EVYRoRR(Mxdl0otIMjZ9fZ4Q_9g_l!A|D+vupG6
zgLkLVNQnK0M4rb=a)=6;a3=df$g%ed^m?534(~}GN1}+}ldJRc%S+2rz)t!zqkUL1
z;x?#Wq}iQZwt?NaZEi~P`uh;hnxCEO$5rJ%S+3!x<cGIqxm4AaMvrV8)b@@|hJ*)%
zcp~bra7~@}4yK^|?Uh4#$YVI~<=6$C*!R0w#Cp9)v<(tF&^CmgT`b8jKbwV~jx{KJ
z?~^mQu5S8P_JWMh2sgPYD&ILcoRt@_G|u4a@H^K^(Cjt~@d$2b;<|Cq>>UUYzbX1!
zEm!4-zr7*v-K1(^p2vn9djujg6^ry9e(vn?9?|ZE$WHnOQa5p9>*Fg6^2;l$c*r0j
zXF<#+alwGs!0m|NUf@6|+m1IS2k;PcN>1T)Oc`g<fAZ<9+<;;%t~j`q?wP#<0bU<}
z^V}Wz+fV1PicH8Eh{m3pNJLumc#E+o$8PWM9?@=x$By|jF67QaNq&Uu-F#){&;SwI
z>Br9H9?T=5JEg(KZF3^ZV?yHDbDqtez)iRhZ&&2a&u65H(=*(V?U~&V0pd50_k98V
zIp2Hx78q{mf*%xl38zK$Apw6LyGO7$_H~bFZ-mK?@!@XzTVKq|7kJ?%4_Wq$cqo+T
zRoxLkcZGK^aM=d%h}+gp$)cRZ8T8Xo5HtV|?1!Js%f*{Zh}z?}4PLv|R)URwBt!DO
zH?PYyv{X*09J|lSv2nc5&SMiNdZrx$J&3f!V@G@`myIJ(*Y2#y&+zUe-_+#h;}c`<
zXq@e&??r@WoAjn6jsOnfTrN)#jO0WXutD`R=p|W!{F91=di?f|K-GJ$gzGmx8&;RU
zd-tZigPXmBnS?$Yc5EbtqkTA!jlL%i>_z;(XMlA{&?DMifbzJ#NVIG9hP?jS9q5~G
z$Ru8*IWyre(&YCxLUZL{HzlcN_7HALeg$n$W2NyrPS3m#HJw!7+dH`ZxUuv;%cpn?
z49Rc5n32E11u7oxJd1~@&q99=uc#OC0!>ejy)|rmM0;!aJn~RI;s-wR+;wa|LRk*q
z(0m$P_Hl68c@S)OUERHm@yILphzcZ!#ZAdPjsTMDdKz;46WEmGGgCi-I@+0~vJ&l{
zc>57`$O9_I#3JV*$Nq~qZ({NlIfge)Upj~jRajLO@wTfy)z#y&HwSu;Xm1XiM;<~V
z1V&R9S1a->9Pzuk+7w=-Ig2BHMZESxBDNQf_}vY#<hFU?M)e<KQ<A4;p2MjbzCrmB
zHYH!jYdzEgw+@c2XLbh!j9|~NROCNH-RiC72Gp(cJodUw;fN=%sq+{s@w-Q`x9-y(
z(cT(9k2I8s&87cm*B15NM4nmY5vYU1;Ibhq*iXwwBi!V?s8EWEv7Q>ij0S@KGrZt_
z;npIq^Y%6+A1Q)<$-)}Vmi+Yn8}geg%aVs2`>Rv#*)XRcJAO9oOBS=|llO@B4(VdY
zWv|OT9x$Z{fJ?_IaM@>|M9E%w-Va=M*d3H@t6maJSbVMIIjlH%TkgtIUH+b%lDOJW
z1nzB0hEUsiZl0}Q2Q%{4=eOktAIw7Jhx-PjqH^paUNNU$k^La{dr&>oBiauNl3zL>
zJT8hOe(z$V?fqLNyma1=7hOcghe9oW`%AZUv?+<3l2ku?6naU{jIGO1Iw3zfzofb<
zT5HYTrsS8#y@!_pnGvptF5h03@8di+_a%-DK#q-Dk9>rhT(-%v+21{LcL?-|_T6Fh
z&|^?6!X5Qn^Q-dHPiCcsiv~|Z6mV)h31WrKM~Db0<K2%)P5CAt52kpCo088?B~>p8
zU(fzqJod_!2~UzJ3?F(=^$NHb2oSA#fo2K1WB%st>vDd+ifihSV;@}CQ$hA@*nV3<
z-U|%7#qAO8Zcur|ek3@&uKw%KX5<UJhc^PmeimB%qKh;*v$|hzh8efbSFqg+?pa(i
zTGuD2KAJAeo49=BHYIyPl1GfTTNdYf11~M%=<3hjzbQYzxP<fANqGsY$CKlDHms*^
zbxZhd71$%%TS4a$gsnjd5|@uuLHf({izu-V8*YM&G~h0I#4qn&oZgRIwt+u70*Dny
z5vNH`0ya+$i!`tzc@<BS@e)!`FNr~GXV|uS{NU1@{PhQSB;B8oQ^P!u&1b`)ZWYJ-
zdUEXh>#H8ozCXC#S1NKJ`okYC9cg$=w^Xgm8+eiC;$j{8MZjfa!)<UN4}x95rIOwe
zC<iBqNuZY`2if)*HYHzx`ql&3l)Sjukk>w*#$yR}Rq@HVgsuMQrbo{_R0t5p`U`+f
zb*tB*<crUStwP1_LCCSc%4fsy(8U1titJ;N-<R!-9?|}?5WGuzBhHM*Z5I9E5BFTi
zWs}%^a&=B#!)?EjEH04@t;=Dkr5qj}21k-td2YyM8!@^|v3nvogdMr<Y$lCUBm*)$
zGOU}Dr@^@upuY9jS61-Y@vKgMrcj^oRagg*2=fcPd(L}=Kqn3woNXVmT5rnSa#>!5
zSmeW*ii|<&*UOV@a(p~5<6~noHjGO&5O-1JN7G60@3A`jE;^K^^-%d?^g6*B5?i9?
zN~Ix}v6R0#TY?UaIyPu(c#)<q)ALJmWuYc1Y&H(I=4A>>p$;9GlJU`DIXE%kUM4SQ
zQB4jHXEx?<A-mt+*tT_9SgFZ{=_SB!MefWl%B|_!GQC)q)%2(|asKzvU{Vf`LvKYc
zBSZO&6borNIF^?alSL`!(*Vl;fZfCFeWMgcoLN>2dokDNN^<4Ss`e4zcw8*kWT{+{
z>oY5|(n?CAS(XV|lF9K=IWRRTho(m5)S(eMJci3Oc#PUixBM-vXU7oe5$zZj55z^p
z3!v;+`v3qS07*naRFQgVwJPUv5#*gqOLAwqF4aCfOxmA?*aI)MV7Z@MZ%U)GEcMc&
z)Ef=yPoyN78<b`uBQ<2U-l|Jxy)I*gq&yGZmCqd;mB9jZ40HVn(^=jFX~bj7By0;g
zX2R|hTr_(B%A(BUc4)0X4cMk71pp^nHCd}HVYSkbR5~Ns{E(#bfSV*_6)Ifo_^r1p
zk_CJxhf?y=i4l47;1I-4*@%3H<vpe*@0w!6iL};e%I*1*ymfJ2F5LzL(g5*JWO2d?
zuPN~bA`s%WMn!SDS}jSFc%1^=GXv7<Poa<2fcFi__pgB=$;->=n}cJ}If8c~X~MF0
z4S*hDMSDd10RlTD0=J=d^1TZ)^4j@jX-P^(aZPs=%5Vx;;wPX_B!T5Vk+aooNVU8w
zrP7MDfZSQ=$<F1AlF9(d5r>y-Di|bl%PX?5yd;fARla^aFRz@Qki(OMk^lkQ3rKEl
z;NvvcXO`q`yjJtZl@d6yEZzwmgnn&Yz@X+g%vHR;UawW80+`h*B}pWCBoOZiV&j%>
zQe}#sTKJV}4VhnF#&1ayAQZoQswgj?8kYm3P)-gL_SpkOg*}s12%ptzLoVEymtR2h
z<dwx1CP3~l49RdIkACV`MuMwLK5S60Ri#{7mTGBL@z_0$hyF=rl&fi=Z<b0GnOj<v
z<&_mVJd}`sfa|}f4v)w{jw_>H-)x3NJ)*rCWbVPAGC5m(Q{?fR&!*+ob5Qn_F39nT
zF@5(CbXo}ni4zGEm5Zty2)+hA8qH>%p5U|-k^~o?NZ?#HD3ty~S`LPFoR(OrRB&2i
z4hX+2-#(F-Z=E?H2aNy)^|*)XKh~%rQJBU=_p48)<@L)Y4BSCEIynl_M$Qvz5Mo4j
z@N*ZD2s2K4ly@hSfEfrj;ir8;nDHO%e*9@+@>?pE<m&A?OnfEz&gr6j>+C@p2Iox^
z_Tgg%$POypU_!Wme0f%Wid(1`7NNXsd_*QkM{ofw>G9b04H2AasPv5L7@7^&Kg8V>
zaT<NZ{$YR6^y_M|4=c<jbZalk<(WA=gs>)m{M?kBePUcEfe=45QST2Q0wGv>=6)d%
zBGr2r?#SP~drRgUd3pNKq!Md_w*@4oO<Xl-lc4ZFzsWiB#c{=W66!wOeB>4}h_v%`
z#D{exht5Gz0`We7YexE;%kn4BPs-PxIe_cI<laf(8FS|wt7`)j*W2fA%YXUkjx_p<
z^5lU@833^+u^<5mQPfRd1R4niVFm{c8cpII!?+9V03Z4;t(N8Un|EX+RgpjW%9Ol(
z8m~*hSbg+kAO9gl4TWZLdFjXRUXwSjSLM*?q#T(Tkt7H&ahiP-^@pWF2M~^i)7p2)
zj5zIxv?8{~Ry;*q;(7u{0(n>A*4!fG<9Fn%hf?yVUp*!hc-)sJtdn}|<3By3{Utiz
z26-7v@SnbSO@8><vYa?@5Xe2O$lN3$?qX~}SP&7CSV=yGgP@xsk#~HIi<=+;Le$x%
z6{vB&C0{?1l7IZlF&Qo9b_MZqlUSc_#{S^V%kt*+hCF%bAO>ks>)#@4+yxZ$(gCdS
z;s+cAM3=Y*#|U;z2t%TS=>P-*+}-V4@(-UZ${+vEQHWnsQFboo{`+g-WXnIkGArME
z<A#*`it_Z4DHTr<rzv{sMAJ_2E2xo~2RXWDV;@<+sExS9{Uq?Zg8hi|H*ZUSV@dv-
zZyc3ppMcghqz~)1|9U2FagS)nu(&6eA<!IDO@8n7%K|1*zH;J-9%X8R;23AUF;k+q
zp>k)ag>AGozb+}c`_7G_&#v8+fka9E><>=j6h%?FR9l92mh!m2jbKmX+Wx=)*?C!N
z739p(!`Pfng4=T3b30M!goh{GQ9~>|^6(D&ldi|`b}@}WB&1xc$$OWs%d^mF@?Zb%
z3CL)7$E4>Q_&_a((}Y!@y!PP@`HOdM%ZaH&a%gNs2`0H~nz(Na?q+Ln$DhtH`z8@~
z#6RdBq+Qq5Bv(y0W*6kj^ey=pFOSK$pF6Dnu8ti=?6c1v(Y}ukH^iA<Se5_h?=Q*i
zYF^GBJEY5VL+s76CBlb9B#h@ckI-kMn<!5clOf!wM5dH~U&NBXygDcU{U4r?6NiR(
zB;huKef9Q|{M(;ilvHj^o;*CI+#AIqTbU4cj<mSg+kqQn#^i$VLk{@Q6$|V1(d8R5
znJLS^`u&r-M__%tReknSn6;N8k5}KhCg1yT0ZhnoY%&&v;;XGp*e{*&w$nH5{lXj^
z9#9+LA~q{Oxq4Op^h{Cy=%r(NL@@08&hqxdcaLb_V=o(W&n%VXKm7E9EVi(8JbFL}
zzFRgLS!KqCUJeQGr6@}orwLKp@{U94B9dRhCgsB7ZTTPm=%gH<8ur{wSf}<hkMhe1
z_Vqi<^1uDv1<4mD<m7>I5CyDE@Q(xBnR|!V*6j#k=OF9KLl5DT$0xZo|Loed3@29Q
z&;G$lnZQ|j>+7xa-b<nD^5frLk^l6;l6>{l6OzM`RLYs#MRtan52BAc`=uS0EP?wp
zyny!pr7QAJ&O(g!@-Y=}wa46FUp=CI5B+U}m|DyJ{1+GG>S_kd`a^ER41tQ=8VQ*i
zZf}`?2a&QgW_L@=Fd9qhzM{V*+?Q|9NTWO_|K^WR<7k_c5tAEwoW=<D3|1%q``?|H
zwe*ObIyfbKao(-BeZ#hDyEY&g=++_Ig}LQzb^s7g7~ClP<mxRsny<)z_lKwTJiOIA
zh`RTj3XgU9B}5|s*V{Al;)y39=F7$ed%N&e$QYtAQy7D_+0M89?-pS!nsRQ6u|B$d
zRsQ8mqw@RD9|p>BLvw$c{oC?;>~F;@sF~yqFfJcIor7Yh!w2*%FwX<i=xGPF;f76w
z>-_0)zsMi_9wJ0>ERESdURxT5b%aOh5m3kNz+;o+xSTU6-~06y+_<bMO=OzKX*i*k
zP?!Js`emtLW9tM?h}1x^9h}@TNVan`xUr264hAps%7m}kTf;?Rr187QV;}PO^pOK{
zZXqdu``fEHhS_wmd)&Z#h#g1xkpcMZ+MN8Sckam9BiN9|6?2_TQSKwdX;ee|sKaK{
z`Ql9u7pR^*d_?~8of$a?wGT8}cXjQrKRu$o-Tw9%_4en}@}n<GauyqBT+r)rKIEYU
z1r#SlJo>4>x4XF+-{OUK=+BdF78d%eUuPJ;8_hL2d2muEmS22u!yhL^L66C}iD^xK
z0ZxvS9qYz{Xeai#zZJnPXb;;Lwztjg<Ar{m@tLo|tuu`Kof-z4dC=&I6}X=}c2ItD
z0cu~*P5Z#d2Rm1@hx3>H!pU?VdP2Vc<_#Ggo=`<)jRyJ#$4wPx9zIcD0Ti9E4EuoY
z@LOSQX$<E44%{2!cZBiiD{*?bkdp}<JN%0`uFIW8TmiT)N735BWW%)k&Gd-&HhP?R
zLFDEm1>eVx`pJVh6OEG&+@Jw|0g1^elH+r>egiAbZuxMFXSQ*7?lJ<>G7YetHp8NC
zjF?UH3d+<pi0h6T;t_>I2jp)*TU0K}A^4-ma62CM#r1jl(PvA59nVDfX&ouaW_TOi
z*j9rB;I;vFgp2vN!O5j_aPzRUya<2B4f-J}6Q#R;AdIn6L7yg|1Lo9$1M=7J-jSPg
zD|?nW5GTk{|LlY7a<h`wQzATxq`2nsDuk2vOBYxgK5M@Kh%xR4eQEIbeamy)n$G-#
zzEQmJ-`Y1CcTG=89UL2$#b#c9^4@iw`1#1feltCyy^S6xN5ZA@&p)^Y{TFzz5YHqL
z*@-S~2y2K)gtIWSL!|Ub2(<P87@z;hIS^%??ecK`T24n^ypY2m!&pZ}cBaLz0sjJ&
zCk+<I<kb(RWd(A0jL}DGSPz`sl2s@W`a8fbpC7>uM<*+dV29eaI^l+N;lK@HtZ-s{
z{l|FxM|hFEc(`e}?*rzguyJ+-uLy2TZ*g57oQ#K{^LZ^<l%Js9ROC;nGXK3|01^UA
zF5Fy@pI<1+X{>%?Jn}F@_=dg-VA<9$+J~+;++T-})+c7)3r@R!v%X<pV>N_H;fbjU
z`Q??Wd~t1FyMyuelj#xdyYx1R0rscliyI5_n`;$0hHL5TKpgrL>6KVSHZt@6E(~a<
zVeK|Yzec0C=0%%+jxd<5kyt;?qq8iB%!;l)++`ZqOSRvP4#~&!>+<2H8D^xMEwg+i
zMjN><pF>{y-fg@M2rh}I5jMgOwefMCt$=|O<kSHMwr>}L6n?%BtS<<M2ySeg^U!?N
z-@~Xap89D*jfV`P_~a^&jE~9N=ySgO&Z|ut&b;@8S(i$!F0Xz#EdzyNC~Hb<->_+I
z@Cx9__Q(C92pfM#{etv{(@3imf#vBk=idm<?PYoV_u(ur{4p-~lycDDGdwUXuYP<R
z3_(@LC!_8c(<9p3=;<16XuW%3Rubt!$!DOY3<H`tq6n#o91~RK4&dj)EKY1YB=xw6
zJeZIA!9_bvAG>`VmSx1smy6FRO_-i;%G;^4cmj{7zHwne=2yy(48c*niWQc@;s5N@
zc{vCj*hyRj(u+rEGes5J?x-DM+u0@$BegBA!Hc%LoPppi;Kn>%xRvGlCH9ZM<MIu5
z8EBnL<%aYbxEhps(SI)(wgVDt`TY8VoS$pSfsrA_6}HacVeq0I<01RO;uu_M<EQ=L
zZFO6pwWp8svh;`-;B<)3Ru@a7bwb_^=<1n-PVP@;*5nc<R8;|?H9+7#FiscZK4|Fu
zG?B={XRNN`CFwVBROK+Z>;@i`<q|DEQyk_@)D2BHfrO%W7^%bEEe+Y2z`v~+hHY-R
z;Ws`sARk^?kgL!~J)+m#o&J)|Q$2_f3|8#+U7B8$^NVXZ%RZndTe!i+K~57lBX+rv
zpsmis|J|ysTcz0;hT4S?Z7U`ISch8IB8bDXT)ed;XO4|4;nt&_aim@6BJrz3y!Xz9
zIZ0#&^?ZL5c-`G}`fr3K$awdp>f0?o12)6yt@4VCAp<a6EXr%pICu&d$#_JOHQlVV
zIOXnl^@#RXeF)^H?D`T0Y;8S@ms4=r07Q_e0sf#nhL9rJwl*=yzI{0yFf^MFd>8K0
z`9zV$un;ZrtzKGCM;H@1E{0d#NAa5Zdsmm_$s?nZhpd~#lhu5frVcG{Z(Uq~#=e3o
z1me;*hD}G|1}C*U+v#da*b#1Kx7VF%U^J<BJD-lfK5yi;9`#d4T{HzJ9Ue7HN=b5Z
z@x~&K1LE<{K4@R;7QLgCo%-n*5z%)wKc8#L`0xN$j&4<^j7Yb(we<~K=3(d?>2R6}
zUH^D*3ynWDpZL?c+VfJpXTYXF_I-=K83ED0h?}){pdIqq0q9!CYpa{5>nwNoe)q&9
zoAezKk+SSX=ob0y^^#2DT|yFSw`t{V#IdCtZKfegb=pxF!fE(7OlNMUv$*6p7(M<m
zf1fuTF0RW<%kyDTdc@&U6aV!n+YqiJe{i#g_LN<w@PAl_Wm5Jz57=G2Q^PSbZ0b=y
zjepu!gopL)gjd*3i^n)L`fawh(ZRyO0Qs{Nw!7^Y#$g!aIos9M)l2<-p0-Tqnrag7
zb$*PO-$@*}@^Up{ZFZqS<*7FH3RYdSjWoo4$yhXE{S(2!!wt<;_?pc;5XWFnC=e=y
z3;n~N#ZlO5dgf(6=Hc`9`Dwpsyf}X=%jL^5+=gTZr+iv?EQG5_POvP0KbRh;y+tn*
z(MaSjFRnv5doGe?6Ggk3?!GRjg*kqtTWaR&LM^V@U>}gcf6?NnH*p;EaWR7w(nLG-
zN-|z`xiYf~UC2eqmpNYt8O6!Jyo&=6^7Qk!mZiL&lriiB@DzfpYg}V<nY~%T79O^V
zB*H{gTs1(+aFjfD(JM|x|FFgF@ixMZskwi_Q#j{u;XLzFSq|WZ70O_#>t(kY*M2-c
zfYUseX3H{y)fbQVkl<}*I$;#Xv#=P#VW@K(PFskjY3mnwhKzL_$5L(V8xrm$`XHSt
z$fY}Y^$Gh<S?Hi|%P3C1r(8Xvy+wCYIr}xd=a|Nfp2Sa)I~=QqU7=r;Ux3Pt=i|_6
z$uz1DV=xg{Q<3N~9{$jelShcu?HRaunwQVRXQ|O#e$=nAF3EIOzL+k_izgfIk%hKQ
zEr%~}v%W2em9Bv>@EI!Bf#<Q+bXIPw;(U@$*fBr-8KLHfH(D0Tx8exxu$h)6qsQ>Y
zhtI>ZisB)o6ko%Uq};}vlurUD^mQCdz>Ic_VS@pW#bum`S!l_?Kw4K}c9ve7!6*iV
z4eerphfEO9`$U`E{5C(jn94Lxl3S)*PX_sTnroZ@zCOM8WB<`<rCWT~djPjL=T=(i
zn~EH#TwBF{jIno3k7#%4TOtSv4^NGppQ&Ot&qS9q0&I*^8gemR<Qu!xtK&0@1_x1$
z8$netJmh)Oc;+SxMp%<rI<v!s-P}H&5hRP!2TnJMclvHE%;V*jhGg)Z*~2n~T?IPE
zXO?P`!RtM&3pZ~gV@|W9fK42o@$g+~V!r{l4dgIoCK<qw0iEf?$QBmb9b=w^W)R%=
z#o3Cygol`iiqN}_JUXI<x$a0e`vJ=YS%v1j+ZCu`81W~e7+~#Z%|mxvOF9DlCl?)9
zkjM)9gkISc^kVyL2qSj=GHx`|aDhi>k~oexeYH*+vc(@?4&$~>z$lc@oXs?oxC8~c
z_S6tE#LGpytz))mdbgk+(e4HnAO|^t1};_1;6d3$f-+ertJ9(Cktj;)k%Sh5%#OkX
zzi#-{0<!1w2|0s71Z~c8Yq23WD$pw&L{{YP%oyK6l&EYgHyjWgRM}KYR>76<CHO)f
z;tGA~CCtH6-oLG@0@P$4kMb_o(5@UsBY+)7uG>WH0EQokogfWsV9iz=5&J=uPmiXg
zh(RCD1<W6cR&g!6DL1My{6aV=*XGN#GFWyS6oSeyZ3`Sdx$Rqc%di5)MS}x5NMk^K
z+7elAJK5&OdP^2cb#S|UNro@bkWD~C3<%bC-!@w2)vaX|vX#)!{h5TkbQJiDar4EU
z26Uujb%(?}ZPgFL`pi^H#z3VZLI=~ZCRgVga<fFD8=od({+$HZs%2$|eMwy7TSQfe
z;1==BA6LTt*eKqG9b?Vgmfa)TUBN_|ERIEiBV7gin;L*<1m6x}x}dQ4atlGnZA62B
z`SX|?m-77Y2ZMzZ=~v+SZM>fH?IV296qivxUzC6MSp&~ufhcKu{OLA&5U3|0G&4rj
zBAg>k!1|$}B#89#TEEP$)MRQ5L>vB{gTyDkZ;M4yp1la7z1r#nVWoZ+2NS|Htd><<
zWzzP+l9@@=-WYalLlXnOFr1U`zA_{e21}-i%({GWZc+ZjxrPiH{Gu?{4IfCizJ@<0
zUV#^jbS5g;eIkGtZ73d_U&b|eOyndMOkpy0pKwQ8+CJ2~hWbxq1(d@CuB|Wx>u9zC
z#Bf?0#{?D+hyxX&QbYQw@w9yBNjzjRL4dcU@!Gt+Ra%z}K@5WZ?dJyN+lSp_y#}P!
zg^K*=_g3W`;^mCvM*PlxVSKH-CbYu6Cq60H?(0iP35*CYZl#iOY)!HU|MZA<mrmuN
z<Y|XewFymhB7+#P^uvE|B8PtS%b`=de~fMLw;;2ThFn4kSbyqBL0(dV4NsO0Vxo1x
zC+Qqb9|=GHbrK4$2w1imM&GP1B+yNix(oy-A>yN3F1Dq90Jeu6pJ1!D`eg{UG1zJS
zgZ5kL^xt42FF3rrkAxP3v|4J&>mRQOX#|fKlXx`HM=#-(`r#C0wyR+C07KFvH%~Z-
zL~Ye90XLs@7`j<q_%>$+@)#0rg&p<?9{7y60SFJ?qXC)xA{miH8U&K9buA9&FD(?U
z^CotM0sVk^6#zaknU{a{Qc;G`7c>;}aaGDr<LTIJt{-oHre$faB5z!)Niv&~7fu#r
zd?Y6?9;ji0t;!lyuc|>Ztqsz%Ps}hk*GKJjas7u!gVFb;T16iSPNk6p(?4i##457`
z>>knHq!WnHm3mW&0#U`34Yfr#911baA{eIGx7psG#FsiQ*0V|Z+NpvJtT*KXuA842
zPDlcAs5@j0gxZL9M7cO1x|L`7o83`9KRF<v(jJO;c$M67+7|sm*(ydtyXq*T0V1ns
zMo?!CBsIQX+KlbABdnNjd!y2n-<)sYR17y*q1y!1<Lv1{`8t@n2A0Xcy$z8T(&@`(
zQK4}7^kJ6Uar>HUemtjdn`qlfyJO;@?d$_;GOS^>!U=~bdWhF;#`jN~pM8X3=({?I
zav_IXqgavt@ZD88g%|Fh8bO}}X?gaW^6P4)A>aSyth8z^xeT$@9f+0wE4;<|&rYT#
zg*s$Vhbr*Iz3XlTZDNPz`zR#b35a?sz&GMtzOy}>WVM^UdqjJa-s8ZmaexA`hzGjF
z4-vu>9JPo{9Y(#pKjXwv@P&LRd#!*gdH#vKyfA|I@Gh;$JN2}j7-N@^xN?xioOWCG
zWFfm4G8b_<7?+VOhDDNObMm2@OK2y=q~LtIWOSciN|?3I*bl$};sl{>zyOYjHi6-2
zhK6-3Dr`f0xPu+r2~jz6hYTD2)Wj)>Zye1D-|hbNN=dGPC~>2U6W)fry1|Zh3e3jU
z40GX1hlC28Br@itu-l9hZHO;wYy;ZEcJQZ$Fo2V=-3T-nMPvHt>{p1f<q|Gz{jb+V
zu9W-a-<(1`q}PcX`MR;QE|=!&QUTlx*r0qKEcp{)OlV5L!)5sME+gyVv(_;C(~i^V
znIIC|!&NCaLhHzfFCcANdCPDQ*gc}%r4xyeL<mI+wMpPOXboe4CEjU1nhg^Y={pQj
zDfV_tHzHU%pOHU&x<Em#{Q6=^R*z;VwpH$wt8Z5i%dD*=@9D^kg>bOM<*<rA1ePJc
z^K)(6lxkX$_hln*4nSXdwULi2H-MW}Ix1s>M-<ZTa5=GQ9IPwY1Uq>+C8s8V%JrJO
zeY2??I3=i#9(CqR2oX+>2y5ONC64Dyh>B$j&^c`bPvKbGq6oXh!Fs#?U<;jg!>Fx(
zf@in28F~-^9ma5)#I}swGKrL)7}01*LtJE5bu5RbMlh+K$Vm|$HaeV<BZCQ9z-f<P
zU9Ct9gd7x`^SC$dg|*={^NfPw;5Yh%am;P_X1VP}yGOLU_Nqg;G$<%#cO3k@3Fn9a
z6A&F^s|~4rkVSD3@i#&?I@e{j-Y5U$<v}?F>T>SWW%<#KrhMnPi@gR!Uk0~0g!Luy
zF-&XOyX;&&tqg`)xcR9KPbJzI8A)WwU47jYY>V_@KC})f10rBuP3WLQ;o6R{c8thI
zm~F-LJ2Z&n+Dgy%K&}>AJehDX57{}nzOr1x=@`EG*o|{@MLC$+6l_%pi)?cv5!>SQ
z%{V-8;c>0n;_u)OZ8<uEcuizxpF9YhP9eWF$oq}(#*+j15uEQ!qQIw*L5|IGy-7nX
zcp#sY8}krBl5nFg);|`9HvRaEjD4{3Oa_ah7}kM!t@$u$_jOOy#Jf3qM0*Pe@w_j^
z7?c6`rxHML!<ddln|QZTB~1(d4#-r;TJGS%0eKk|y9xD}pFswDaw07gX@_YAAoR&B
zIYx*Xz*=ylZCi%XHbK@toaCVVvTxmQLTxL<`-{YCP@b9WL;b;`s=TsW8?0Gow-x6b
zqG9~Q?>HhaXmDe297k-PJBpdF)sPRSYl72eGMaG%xh=b`J}mo9;_yTRwG#pz(0`i%
zc$2g{%G<XygH02*hZ9jG9_g%T4C;;$>j&5#r`ateoZ3CKK)ty#;ihB~K%1Yh$)Er9
zws7^60&f4_nISndmXSYwE-yEKvn*H8k9iV)q}gETw+YBu4##H|Vit;Oc#=e;ZxVk)
z-n-PJN3^?joFAAeOx-+JTEXqU45-jXqTMc@a9MR?o)cLZPfU)z3@-YW$+V16w1-{%
zfBu~*`R74Bj-4El|FN(t|L1R@Iuit=03<XnCSKNemctA<kX%N@TjMF|q9}m_H36bs
z<gJE>M0^}X`k-hjA^AQ`JS>x(Z$z|R&Ej^r`bHJEPdEJhm$lVwHV%Xb)>Fp^WD*1Z
z_Kk{sdb=(eOs-T(Yw(J)gTs}{JX{^(FnqVcjUjPaJmo{hVFjE_;p4w1Vu;i49v2_U
z9mdTqzR$@nQKC(7M8@@C+<FGIfAQNv(Aj)FhT=Rm3QGEulXsKdOt~d@AoDJOfG=TU
zT}9l3-yTCfaBdrW6Lp-a&jBA}9PxR@8Jdf^!tF|@&Ax6zRcj91I&pkIm>$vY(#!07
zqAmw$5$wSV5gdGi4ptI7Lr^$K9J=9(M)QO!js;=@A`HcGP+3}%H&Sc53Bz^WI=GS|
zjzOIqO2`V%QNMSyA}h$89b`-lt7_-H>2?(fOOGmsdU4<|jDA3MIJvQ!$LJd3!B~bp
zV8X3js8**>2J<P&C)Q*ECrL<1W7xSmy1|EPz|cpN(S{?U@4oIX6tNfyfh?!a$pE)H
zzkZlEJ6m#o8dtL+a+=EV<O009m>71h4sn$DJ9b$pVMori2@W2dBZ!`Br`6cv?R=XU
zkwX1PaSX4j&x!?`(UGt?##X{2Y-NbkoEEv-;imQsn2;}OF}GdCQP~SCB8O4V1U8BP
z;B-nZ-zdwwi!JD)>60<sD9tIj09*8@`-S};!ZPlWHk{UqVZ$DSBeB-RBM!U?2~Ym^
zxakq?O*)tgfq0=}Jijj27jUi_XA_hb#1th;8KD&kilZz*L=a-)5MsG-9}963Akw#>
zHSXVDErHx{iPtBKI6w8L-#RF#hLdvr>Z1HFAJpWP!G1kU?T%%6WMno0UXr7UOb|wA
zL>O5wRHg=1sZ+S|z*R#(1hqjnQ5Ij;p*kjT1gnVk>L4b(n>epMfU~)q!A|1K?>qni
z7^F!=K~&3Am^w)5MVp{vu64eR-cpej<o@4$Za|J;^p_TK%<pnd3TPXb>1{MS%3A@_
z0XyGX=IhJ!Mfd=wVV~mY8qQ}=jbZBMj0?gLR56ab!(Ak5?DstSCevTTCZW?oqZ4X~
zM{Krl3&XnMG}~Xn#CaHEzJL8BNiZf%+)^cA{?YGE$sgjB%4;7l$%STGzWbFCsh%2;
zKVE|D3TlF<MzaD57L=FO<TlRKr%@+8QtQiXgKbCOL^zFp<``9lUVTt4fKB~A<fHiK
z^VzFbk7#e&v*d^qauh`LH@9ngzEx4#uo>yh8BXpIQZdy1=eTcU0GO^HgnKgY(36NZ
z41DL&rz(gyk1w4jR+9kvJR;)EB+P)8x5M%+%)%L_@ff#NlLMoD`f#lh?Y4wW@n8(|
zrjq)x0yykd!j6~oeM5W^td1714mODnnmAt9_Av&cR56`B4f)bKh{L%nEAlZ;kqm?B
z1|4ZLnmssW&7QD8xWOc}qvC_qRz8+TQo@9H2>0fxUmMgRh_ySMMzDExJ&#HBK(-{y
zxQCF3j5*wtcJOL%Q(NBve#VS&zaopgj!)*WSmX_2oVl)xjErR=|8L3E<rR7Da#`NF
zk(U<_W#lxtZkjc4=U-f0mcRO7Rpzns%tFRa890r>ybU#dn1x%v@jgQt<7GIBmuv>1
zv5@`JmQb_YbANh7yGxf6!8vQEaMgFbkdky?6$shTn^#@sZUItt$xgX465mc^^o4_h
zxc0#(vvT<h+>!*<E&%@;K2boYmH2GP%6n)$x-9{1Pox@<88mPt?&xs8q|q+6PnVOO
zmHLw3%rk){cmirN4`ISfL54|D1~>7ny(~hjW(_fWv$BJ5rsL{l0HT+_`t=?8Av~5a
zaPyF9l8AH~#y3I`%?B3E+e*{v*2wKSkelPx@4-YvxjC-Bcsuf8z^=XI2meJJ>jPmM
z%%|lrbkAI0ggR3wLkln15Cq+DwXHUQ72{=qqn9r)$p3tGLB9bil`C`NBseL$AS3eU
zuTRSlaDt>rxikDLAnuE}5Y<2`p8B9T%XdXwjQ3zU+JEZ62W=t}Z0vJmlBmfj4(Jc!
z;C?@FuE%KuHv7>i;laQp;VBl<a;ms0UsP){gm2|ai2ZjnL^>aB148<=&OZ+2sgheY
z5IrDr5@m4kFbl@u&)g(3mN#6Hp|=`yc$>@H8jyQ9)r5?309-H-9PN8pMmcRv3<q(M
zVlYvWC7h5M$hvFOIy<3YKkn|W3TO|xJQ_ep7NJyY4lX<H70Wzb9R4K;3><WH>pF$A
z0XI&nDf?02GT6s6`G$-Q4m!f{5MkF=`~&_VUX!r#ozsJZz~#9rj^yQa0#XqP!XpBC
zm$I$@xRJ?IJne?x5HAA7u%Og2Gl$K{*&q@(`N=U7_AYi1=$))f)L)E5<86+C1|lSy
z6?tM5%t0y*$%~U~@5Tw$HEw%<dz|(ra3bO92Uk^utn4JX)Az1aaq1%HxJAWmm(bIY
zC>OVsB&HI(Iz!=Q$QPxEqY>FMU{^SRjH3^un_KPhBPb?zQlNrJjEBLqS}n_q6VN|g
z$U5-|%6b^c%{<A?abn1WP~#wsyg|L%;OM%^P7Ms!9EDpnQZ3Zmj1)!0@iD*(QYH0@
z;T1&aNY2lw>liHtR$IQBgAZTFX`4o)B1fjcDS|^y;1Y>zW0<&0K|9ck_3q~?2z_%9
za^-_JR%8LIhylEAPU2}mP^KWLzXoYATtVL$ij(7RHx4#TrxPM<9?5e6_qic4S4?K&
zGT;+{mSqH=QTNlYiq&tfzb?l|bCSYq@_fYlVc@jYai`clqP<B^u=A7PO48|!92~}S
z@@5sc?;6;p#-<uD$q-4A%|4>MV#JKRwsM5g!x7{CH7U#Bw+@;x!24??8+QBv$woA`
zLq$7lHF;trsjsj+d`_Dp63Bm{l>SLv%YXY$6@;&@D;G~4w6@AMYny!K&0@v3VIpZr
zXC9r&qyCA2h};n=h!;2`!p^PQ66C&9$%-5$VMt|kbNXSfQnu0TFBOHNog{F29LJ)L
z7yIPqeA#LIBg{PzY&Fxhpw7NQ8XmojK-`&#*&5h8V6KT+W+zVjdRSKBrxj1Uu7DAF
zc63b{D{|WGmmbkJsO?jmve_gC>f}&Xo*FL8FZha0dT;}`ZOBf9v1O*Gn7~+|oFb(G
zQL)rM+HA#bWqCZ7Go7V3%r&g_DWmaVIYseZxzyyhRISR3gAF+_G6ar<gy-RMB!mNH
zzkEDm0<b$fxFqkcR`hu*Dk+MMYahioZE$0RHket8?yyrBgmAOymWRR4ItuodaP#G}
zPSsjjUc#x7$)OC|gH;M;SG&}(UpSd^uO^FC<I}kM|M7eU;*C5`6a|;ZB6xAtL=<$m
z6yu`*j^Mxqgy=>S_l*y88M^+pasr&*&@W8ZQ9k1|aSS)LR+Tg33FwCBg!*tre!liQ
z!rHwU_>jS82%f>xF_+KF>4~IF^p~Lm633QcNP38K;g1}+e$%!e<A6{_-(WjpH^d+~
znc%*i4h5HAkdLNkevD_oIDfsa4T9zLeIPuFPZ!Q+<2-J*Rg$MBumJ_pNE%O$ao|2o
z<A`=b%Ni`?<(UZ(ie?#g0qihnBiMO(wZRP)W9tnjA*}QmrNK3V8%0UJ-I_A!6OC&y
zqiy**@sooY`+y~~pR{CklQ6Kp!|3y8K-_Y<JleDSm*DIhsxr-hXdi$ckf(-QQmT}q
zK8gCq_d{FX82l7gAv`;9I>Pr5r+vRDj0x+oU*f#9Jde-XFV?q_?eKcJT9N05>oNh|
z>TC;{gx$OX0!X)Qdg75SKt&|r44%p6f#7+0etb!OKD`S0+^{khK(#GWBM1nphE^o@
z*qDaI!o`D4YO$4R%c~=zW@C9FD<D5**)I>(<>=UeWO4-%9><Yz@IFjKxi*Ph2E^_V
z<fku=uE-k;Wf>~qVO;%px6-X0u%oJaKT8_H4IUAEEwGEt_)%UyJSawe^c#d6`IRfH
z^7Sc*M}~%=7dpQuxVe}a$w)pwAkR&f<UHQKEZ1>%8o2Hzt}d`MudXof=oiFw(;yvP
zU~YMt&E%W(pDWJg&$=amw`IH@G%6)IJC(#MLIpgX=fqYI8>g+hkK68X+IQ&za-~^3
z9-7Cg3vyh?vlS(TOh$wXf1r^((yL-ywdwZX8V~Mn@gqOx>EpDeH$RpalxyWh>4W-^
zqa|{4b?}t~MD77_i;g3C6v)joD28E~gT<mei|3}M5+yt=Q3Ks1XVw7=52wy{vyEX~
z`(`})>-QFLv-p|^;@Njw`k)MC3(x^};N*^H$`B!7Llv;gLO%bnS12g@kr*-~oKU%f
zoEj;}S0`IiDX+M@2mve%zS<{*HT%eZ7SH#C^%3D~ur-(~PFuRbw)~MK>SHU*@(XPO
zhu79?b!@7SHRK>}5NGpbM4UYPkpOQ86w>3gx99{8UPJIakYjXcK)!ZxL1r$mf*@jv
z={Xb2g2<;Pa=1@2cSL42X8X^seu%>~ZBhNl27hLNf#3`ik|c8AK$~@AMP50Cn|vd~
zk}rVM21i1|^Qee6%VL>1ls!4TD!((iD6igFmU?0Y#~L9+MGM>7)7D_uB5g|-e+}*Q
zXY&!z<{f-&2qWColL_H~Mb!lrY?@}*O7gWMP)LP7FFaz{xt2e?zivXs(LWIF!az};
zoG8o9m9l(TO5tcG9%2rPj@*&M1rlucgwu$>0scPEuKr<pi~z$k*ehjhJ{HPy2Cw0;
z?)gW^h`3rj{=Yq<eV0BUf>T67uB0$9C`ZPt@{Q7pygI#%aXzFME&l)ZuC=#q?1+wR
zJ*)>MQFa_VDbjSi&2|f<$ZonDph1iN@_uT+^j+)%U9?4uqHQ+bI(96Hl1S>&bLMiy
zD@F0zMiM)=2vdAr(wAq3=gxi2n0}e^**1Ult7mvE)5V34B){hZds#*}&3icN$&+v-
zAMRG95i~(Ob#3>17lds&H|*-bZWOfS!R?V84P*KBQBUeyffD7MH#0m8OMAxhr*23t
zY<ZJ`ncsM}J^hEc84Sey(lJyD?0$w&Soe17QU`V<H@2Bxmxb?1V}u221H{)sC;KOR
zsT^Wv=|Q}K2{&6x$OfswORG1>*(9)tihs}Im8GMFXDwax4>|M%|Cof`k4Lgs?8@W)
znS`xC^ZqUk5kFg(xqp2$@hzb^S8!CpsNe~j93Je(m;yYI-yDG+D}jCh^LA;|T0cLk
z?fwaGe^q+#@~OK@I7pE_gEn>n)yIAk$-_p3W)Z|_M0+greHqG4?9AE@&_qJ)e!PE(
zDdCa)u?HU*X4Rec0iP8+!{SuHyo(F}lNLWc#!cWVw<n)>A~c1SC1^VAtoqIOxh@My
zn*~t~BQIhUsQaB*p2l6&g!<5Jx^VDjO8T#DIG<H6rvYZq^3yEHg%=!Qk5Wu-o1Mr{
z_r_=zX-WgKVPSfcMvWLuYtl9(PTBHfH3c7!TNwA8$fNNgrf2u%PhAjGsjkG$o^Ri5
zb|3jGS~yRmoi(_;$OZgD>>hu+DueE8;wT9IFZRffP?&sN>&xeNX0i?CZZ_MnvYn;K
z5A|IyId(NkQGjr~_T%&j9tYtsWGI-OS3|zt=mX1Jj)%_{*;Qh!@0vBO%<=PaV_IUj
zYVp#sevd;E_Lzi?!sJo2uZ3OMZUeg(+T>kZwv*+m=e@t@tm#h+RE(6l2M1C=pA6)e
zUt=;B2KtnXoOA<>49X0vTtB^c_vFI#xeS@c!+b%vz5D08NX!4H&vUZj_g0&A<tb`v
z_jhX2Y=;t{pMi$RW$5%gtCzI1Chao<Pvu~#&SnOV5uIRtJUzl>!>;`P1eN?^9abe9
zCa|c|VrUzCRa9T~?Cby2!eu*H-n!fQI4<t0`z4{U4SSpn(cVYGp2#h<W4GEJ34+F@
zchnd;H1MIZ`GNR7nZA^bue<VPgs3B>Dn4>xhYyt>ySA0;s~HCFo#(&&pt;!Pg|v3k
zCGme%6u8N@yrvd5+^!-buslY)`=dRC#8T`+)KFX}*LCTD^s&%)2iSZ!cCxlGMV~tT
zJ-E{S#cU|QdOnk*1iFJsD@06XgDr<wIsjMTY;xhl7cSeu;?~I_d)z#8md2f@`-Sa|
zzC7J!Qy=mfZfot49o)?Obu3KhP`qYmP1>&kX4Pqu4@-AiCX8xLE98^e5rzQv<afvP
z6^xG@)0}BRtA)acKnF<-b1kM$^3YpyHO)^hCc#IOU&5X{Vj4bMXFSd@v@bxf`W`yZ
zIxT6dayKufS!5xr%;OR{Oo<%|v?qnGR1bRcXGG~vH){9@;SU3t`tQ1kga2e=;-}27
z`S&=AwrhEM!!8{oa00B$&(I|D@ooXwwIvL%Mqy{Uew$nBw5vtJ^)O_@^@G_V{DKVS
zxBr{Szhd@<Y^j4WC2VE}FrKE<Im(MU_vOMTus<VT++8jWe>t&fB;PGZ^4TqHcdDw>
zZPb9+N5VWa?>BK-llD2JzCb=LDj8P%J={2!W~ncKIGV__qz3;ER&8^%@(Q^){e0y=
z(@>$M$;D6N)03s)N5hY30(Yw+hV^~g8OVoW0ff_*P6tsz+N|2UnPOML8etyzp)pUc
z{olRpr-hfm4l^c?$8e^Pj}ei4%u^dN@NrOJ=08ByJz~DKON;m9M@&yobR-Oha+{7v
zvR@j=Pj-fK4^D?dRJ%i9$9{mDWXaKDWxG9Vk@G?m#9b*y622JA7yYqJH(47hs(upD
zv*<MO=CVqseaV^}DH;;_6rtlbG28JGMu|M!fe-k0UD}XKr_(|0r=fmEZYp6D&oyZi
zg>x)M-2AAyuv)(Xr7spi+~vM}bsWoAQC*@boI69wUEDfnIp_^kWYc0jvG`+(&a?b5
zl$^6I&(XG^%gf0W&T`;Y`lISVeuSA}x8Wb9-3noigi1O#;^8U~HuKHJh?{w{WBPag
z;pVZlD}DJ3f=&E=P(^faTHTw@LmUurIOr{WitXsu@UksWW?Z3ny2S1tVyEtIfn5WZ
z<O9@9K5D1xrl1MzND56f6HvA+V6GB&?mgb#FY#tAlJCrw1?MKm*_V2<`|?D-I7#F=
z3f0L5yy-#bna1Ia-!tm8rKe77a|@oqMSpQIft6pJ#j*>}kPpL1?ziD*zSTsNNC!<;
zp%yCFu~YcGQeBhwc@aZ;E9Lodb6<Uwz;hajyI$$Zo!*K3^(2Oy)v~-8g8&L3AT{wa
zMOTK&RoKshQIb&=35(Rt)^hsoNYS*=+MtCvk{>i<xf{Uwe^8g8)mFmhL>9JDUe)R&
z@nYU;u<C4|eFdcwEN&3@cY3M(4cI+Px8!72f!D)L5Qyt5FvMJOM$`-~e~+o$c~|`=
zcC3-mtK0;&5)2!wps))@atEQ^ni$d-ptF`W6k2gMiRLB|w&|Z)+-&|c*%Z+kS%GY}
ztC9Qz#Qo2xEC&c`ks|zFh0PO2-sje7d`Gy4<V_c=rCB0-n`j29kL3H9!Mh!>8IsL>
zxe>A^Y$vHTX`9BLb4#T*tAtw;5B-$TsnAyCL~hjv@*GZ*{?i}G0SM?>j3HDY?;`Hg
zc2>1AKrU4FoO^H$OU63|cKTpN3ptWa<#s8S{VE8%K9;);1n7m^*apUq2dK`oBZ<{p
zT1!{mN+fnAyni7p^q60IQzUjZV7FI`<XHsbj*9Xe)2pAQY%*b|6K!RHrCS4vTem27
z*wvyDcyY^G2^vG>ZaG$OeRl&48LPuZErz;r*ch8aNK(YkNP+pgsSAnQ^x8<Aj=w69
zOLMC)_Xd&t8!=1|MkV=gQkCumzN}%8U|=4t8AV@pngC{cZE|s^oKEx72%VnI&9U4s
z4-p10k$aF$2hon|b;u->jTNLewC^Ssro_!(3MlD(O#N%?{WBmy_}F>F5fQ`TP@-sn
zz`R|oJxmS8%t@R(9w7$gupq~2Nxn%d@=aWlcnS+0%C1#Kr5ETp`3UOIXEOF(1wnYj
z5~k~da6$wyXjdk(jSyw@Q(cAMhz7{U2!~d`k<R;~*nH0kKHL<;%|`G<7)1zy)$K~(
zutV?xcn+192n=zIScA_|@V!Wjs79me&MLZ+1rUP<D|Xmn;l@ZTTflCol*n#5Q4BkX
z^%<hYs)iwaTfmOE`Pf;_<bA>J461qIB$SKECdSzM0cIig`+e2vsNa*(aDc!NV|fuF
zx;o@>2)#Z?D$*S@fHOy=xI%Bri7{AAHtOLK&kl+c)OHftDIzcjbUH*Z<`yEeZ^1WC
z9krbR1_+1ru^Ej<h+mLg_@%DVjcd|=L&79+8v&8Lspupjt|NF+OVATOL|CjrlEu=4
z2l!|T@}6v>Q;Z#BBqBun2HBJmN2vh|WNTvz3mznmP)#*Nn<gpK=@X|_bL=&(LssW`
z-bm*Sz0Ny*j1_uGl4Rr!l88{?0lNeauar1|-4Ky|Vnj(9P2d}3<_f+s2%LVk86l+v
zyebGBSSz5tAKNmpt7h0$V8uJ^h+ka^fdw5cxHT!P7B`8TvSFc0891XPf@~rgLOw}6
z#JqqME*&sG03pQSdRzw6O{_&29hhB;m1anhdW_vFLbla6#u)#NQCK)pNAv{xr!QBk
zYJ`|h8(FWd>(z2ullE#{E_BwE+{l}XP787{fO2CSgSgX#0Rd7><VdxBn(im(!vj^t
zU7L9cip}szbnZ?c*larBL=O@TS6U!cY9s6S-9q%SBY6|6;n3Eh7J7_vImQGKoobH2
zf+Q5bn#j&G`VJ|=(xdy)qGE@FPD!DvekxeV8FnOVYv#I;z;D1!l#9uRdh29E>l=Q!
z;Z$n`1BG%)Au}f%%ojkvi{6*vqts2guvrY9n?>!zKvN>z1Xmyr(`(-VG1=Szh|m3s
zYtlY9WZ!;+DLKj82%O5EuOJ@G^0MpD@HzRAco=k-W0pzEbfrp5+EycKQ|kAfte4UB
zv15~y5yc$4tia<n^~sDvkHoE2a3yVY`YLuVZeSVx43!K&!;VC~ChKM7Pd`=?&Ma?V
zr=1lJ-G)A=u)0ayyl&}9*j$`WbCeb2LV2ie=X%Za)M>8N>FcJ~4uv=KyC&^7gX7Al
znBvkR<Z2|%?HKDcQ*Jj^SgA+JM@fYWtmN$!-ALNV=DI8O>#!qP(>*7#n_Jo-6D~UZ
z5*D3d<r9GsHMi^K;s{VKTui6ARhd8@rr#<T8X|MKI1(oIM$Ft=Ez#HM>#o-qM?SxE
zP1-pYZ*|WU*jH#HrsaQZmd2{>a@w14Y&fmjF2DaO%!~+ZyL`|3_+ki{PWy79esi&F
p{*$f1q#TT>d3`MxAEj^K|39+ZFp=S^zZ3uf002ovPDHLkV1g~eEY<)3

diff --git a/06-Trees/Trees Interview Problems/bst_trim.png b/06-Trees/Trees Interview Problems/bst_trim.png
deleted file mode 100644
index 095025c9ecb3166fcdcb5b5c1fc5edf2576b1d36..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 33369
zcmXtfby!s2_qBqeD4=wQG)Q;z5fG#$2BdT7hM_|NK}pG>k&dCH8)+Dtp}Phch8}7t
z-}(NY=l$nC_rH72K6~%8*4pd-{H&pb|BC9>lP6E`l|LzHKY8+$3-dnq5(o3dB2wRd
z@`T}uvcd;l->kz9gF0rV)b(rBg2zPLT%4T6I@Ny#0sawnZVQ4d*7^A2ib<o)GM`vs
zqLXY4GEq4f3`xVEGGekQJqE;7>%a&E!sYi<A@ARxmn+-WjjcST6%>mjO9B*jD&+uq
z2mXtdKip)4ACCv)b3IoC$=($uvn#9od>aZ#G%PtV-ZLYg7`XmW_~M&$5+G;BF^L8s
z!|LBK+K0lk0^wzYm8&n^XOVMblD$LcS)6~R%;^7vZ6NT6sVxNc{A(@JZVur7tL3_L
zxve0&XAx!V2Wb0clm2VG0xJ1gNti<2ST>+$f-h=#imffUG9a}!VzC0kU0a(yzX<^&
zk4Dk^p*5EuN%P0qcm@5Us)^-OmN^HecWKndxA3+vC|cH1&O{I)DZ%?+Y$;x4&v-a(
zX8bJXv@FlmgX@&UN=Prr!z3Q~KPJDy>J{<@CJ72gydB^mQttI6v}`dEL8tQ_T&&Nn
z4^mpqwgN6dXxU*3IU9~P_A)y`V?Sx)2b#hNk6A4#YG;!ePMPb1!w=@4I4C1=!|X@9
z&7p%nI4di;HJ&83vUusN9MR0UG?Br}d-sN6sz`j()&(ob{BPLlzK}GHR?M-JmHzyG
z6(fZ0DHHGeZKEP3TZ%e%ZqYA5MV0F<&V5dNk+XSf*Pi(a^&^OtllnvHHV|^&sezZ0
zo9u=(@7wcv5$NsH2fovZ8%%V8D3>h$UbLIUqw=i^Ls~B<*=G>3;lkK$q_PDFN@(y0
z>w|_<F2C;ac=;X&f>o)x1LryF3slaa$)kl?Aiv-wKBsK}{6c+!^<FTBG5ZtDE6&m?
zu)3^b>N>g_zW};lxkN|YRsEWYzEoG`m?jpzSaKKW8!*IoZYOMbvBWJ=NtT1;Ibbx9
z8&>kwd&|bLjY#gc8y&V&7>sXjo!tqTaP|N}!bAm)fm+HbNl+xx&;ORyYT;lxCOa<g
zT&lO!{%~3-r9_w&P!AxSv)7?r0q|*B{YOtSAf$4W`NsR^jP0&4zyInM=g0<o9hHi&
zV?f0CdP-pY>wj3viF_Gq3z9N6611lSIwp_(K2?*i+6@|jMaDH;@xh){Mi-Xlcj`Sg
zvr|a@*t?E%-$cHO%wyI!x&!T;&}K8myz(G`3J~=S<Xi4##)k7B1>4F3{aMJrQ;9*H
zNC-L4w6iGTOWlM|xFUa2pV6v<3d5Df;E-(EPi*&RuEx75BS9G%o8?R=aPNxU=1vX@
zkzU*P5Jz3-gf+?t_V^k-abCesB1}4@jCz#sJ9+^WtTL@nM)2GLA;&Kwk`t5MhcsnZ
zx4Sxh{wrx4_#UfnJh&nB+dH{I4Ki<B@40vSt9Lu7^I9!_Jpe70xyqnJRw?V3t4BG}
zdLBr_rv^m(#g&0);iy8(QT$Z<X=Kc76emh*k;-w)sHCcr*k7PwtT?T)G3_8dT#q&L
z?wh;RD>Te(Wv9bPXD%Sq=_25zSD2LmK%2v$N=p{l^bwEE%KPfNxqbJvIs_$P)M3+Y
zH=Dj7lD=@RxjjS28lhgIjslX(8vto?tz*!MH4coa2A?{*Ib+MJ#(PttT$O7P0KAn4
z_O4tCZJQ>}K4s`XG&tAofdM{!^?Yf}2{&z-_NT@9*LO`{Skt)Qpo-b|EWNqE>uJhS
zD6KRHfG=(O{@vcqFYI&0q?Yl1mesCo6)75gTA&t>OqNAZT-Qey2^jT%nQdtHdk|<9
z_y*u8DN~0O-hE4;hHNr#{X<WI1KTrCM~g<9bK0zbh7aNWgvxdCobwn11q!5&r<c=;
zIYhmWr}0_uGuQnxP>#+tO1hkD4>Xys5{ip7oY8#ae5oifUTPU3M1i;19~5hDf=5i2
z?CJr&EaPm|^@D(p$p?n*pt<*3WU^f{yG!u*&2b~ziPPrx2WmrpF+g@5)RB;V#`)|x
zZH{5mJ#szJp;M~<vg>o3T$MyDhjcjw!1J%7YqWyi&;N3C@wV&2IcsvN1wa3D!iOd~
zPa~DG8!KXqnfn;A_&~<hwgUd*@%Ngpy$^q%q$%=;TrbLWwes(7&H2%6G6HRKwJ+cN
z(zXjRNEdnpz8=crxf?ks;*9Nizugq`F1+{qm~*GpCp7YncUri6kvs=AwMlTJ0P$Es
zgvInffk@lLOy&4-zEO%emEXC@*h$I-oK+HZT1>)`oeHZ}$vH2?sNZN0k~@!YtKa=g
z+a_V;_-og#d9Jr@Hp9zLMOpvGxHRSn%J9TS|4qiuw96DCwj=~~TY9+g@=TRF^!#pf
z2IrPoWziSm*RC`?!)7TT(uq>DGp#S!t@i6#C5)csPcLRYP!0%0*hc$9DUict1`FdO
za*CPm?9rx9ftNCi2TOQK+$yd5G52CQiuZ%L>#QK73(0I2nFH3gTQ3IEsJ#5WWNno~
zKHmF_xm|df;-ZrX;#w5#BiqsMxz~CjiBB{5M`Np2m+ib$pX~x<H3PB+1VX+3;T5FO
z=qTi|EhkQpoTn6(|A3UoRgNa>?@FtyPS)Ov0A;yxtbNk{J?z~D)>8jzX#5uLXPv^X
zm5OM+=Vjra{SaFSy(#%F&=6miT;bDJnBSfIaL#H$!i$KQIasi^QSt9oxns9n$d4+Q
zGSPHGZQ)r_7Mx<q2Kkj}EYM7n#LhVX=v33?cT%w+`npD$)IAA?G_tFd2*Z&At>kz^
z!G4l7YB$l>#~${Mujk!gDSi;<(k7b=tYfikO>Sa`fk7i7AN`NsX#Ey!aI^|aGFzoN
zN3TA$H~jJNYWuS-x)2#|PovgO_Z&|;MVtrLU{8?p@y3<{Yfy-t)#jkVe(OMQ#%8oU
z=DP&iSw+7emaH}~sA%gLk`0%iee#JzIWaspDEKe?)qeeQv~)=*cLIY}KJD&c;I?s*
zS=B^^%=5?FTvOTQYwhbMoAxi0I60aJ_2|2aH)#?4_8C-zeZ^l}iG`*z@J0$E^4K!1
z#ztlea%`iwFn7CO&Yy_9+M`yy!WbFNV!J-Q32U_jDgg0%ZDTr#>0SU;jF9@GZ2IX4
zQt3jHnrmS6Z4uddVZyl74n&)5_&oDdk)dW84~y55iOljU9MbW0!pyMR+K9#R^2;s-
zJqzA4r+oablfOsAABlm)ZqC=2YDxOeX`SJM!heeyAQU{*l^L$cdWRne8%wwDRCpY9
zW;n8)o}*`d7S5F)GE`D?3kgyGijo-=Y*=QtvAA5-_<2jXRUJ^Cf#UBc-J@ukPXoQ<
zq&u4>cMwNBado~dvFb9d#%f-TKjuUT-cT2CVKs3F9EhE@uTd%{jK9zP<-oH18xcDM
zmUc)VvrCsSH!?iP7BH~y2sYRodFCPz$jTH*72{5E)_<I)`)uRKAy^DJ{Cw2(Ufb?%
zI-zoOIG?D{bA#Ol;G5&L+Px21RDfZ>8NmKerk9~O^hYti$n;+fr<GR1uHX+Mw_mEa
zy6K<e0bHF4miy}Bh-G`f?6!Crg^hjLAAa_^!I%^IYnbn#y*ydbHMgvT6}zx$j1@bH
z5E7lBq^}gl;S(np$`Dd&U=Y@Q_{b@|Vrcq`M|y?pvVS|v^BwsE4o=t<(RY9C576Un
zZ9k!VocT96cmp~j{@huM@h?D9)ye}ve;=xoN03$WtS}sGG1D#C`!?DP_wr|%qEd0h
zBE=F(pI6250;j11wNnCkjrU<G+|1@uGc2K)<3$**WEjc(rA_9_!NBd-fQEq>?<1+`
zCVblFPT&o!0j;@yGf|Bi^G%t%4vNUz8J`MgR#q9*0Vk;Miil_0(TONhdT0APQ0w>m
zY4g+Yy~)t9%PefPV=Soy4a|JXOb}`qwi$+S1sNz96tzpNw^E2Z)36;9$PN7Ydue>v
zp<8y&2J8P5qc`G1^V0Y<T#jw5{^O`_o_raYY&pdyz_{{vH=9qy^RN`^dVxV(DyvLE
z82pCaBJH%C#ugws&UZ-hUAjVQvBGqgXhNY{k?;2RGM;9-h2YfkGhlSig+!~U9?;To
zHycM@MVVyqkWTZ=n4IJJ&t$ky&g-WLCqFhYnHT4D)=%Q*cK4QUMOYr<<rXt=k8cas
z_Abn8z(hc4><{Tr+jl93c3JZVnKTo7<HNti#$8;8P6FrQ+6|*sOiIg~8y1%PaL|a_
zy;HL-#cMoGU=>lha;|T&+p<WRvuYtHOC5`jf__N_lrQzN*ScM=d#K|RCJgvYQq}y(
zy3UR&xU%?!RcBLuv!bX^5B%B`ac%_0x+h`ez?J$S_S4{cBhpMgecX@4&|sm-us+D5
zEeaT|HgVY;K%~!u3(3kf9o!M}%20aV>s={n4{K1-Cu_;Iu=dK4`OFIWGWP_8m6_<Q
zohdb6URLgs{*DW&LpuuKV_5ErN=z$ok9m7E`u3$kJuTLZoqdG4_`%+!;cH*3Wi~p+
zdvx1iphSXkK<i+ae^vJ^e!P#1Mmlpjp%7~LXhZ6);P-EW67wMOELPM@$f#X+Z324%
zw<=(2I;>|B#)+ddSi1cr*9)&Ys)g<yfHI@@(@3!tE3fTA``GJ@p5a=VMOHw{Ah+Ne
zkisuKg_#5P((OxoY#w`iJHWsDFwJ4UKY8>Zek+YSEIh1C;aFj4j|%0@6^sx>eW{nn
ztu8E6AB{CkE9`R@I4O~tW5w1cZAtc9tG#_g)Z0kK0Vye|^>d5(6Qku{($;y;QSb-8
zc(AyyuBhr-FTt-@X4N*wW{_R#3cxf!<)mc3girdTv9Gml9C>w<%#+gT;z*f_+^9Th
zx>H=j)<gI=JHo=jIWCEP96lOyaY@O#dK8e4(Rp02be7%~F{q@{Po(QmwDT-TSC7>s
zBc^-*)=*05bkvHZHtgXQeA+9+21bQKdn|RBKw<f)YQxaQ<nb9C;wo;eY2-Y@Hod7b
zI$;DWO`1JRy4^U90{tJ)yX2yNBCXNTJUb!y#Jc3BS&(fkxZ1nfo02MLV_;9|{`5B4
z!mv=3<=r!Zu7BnK74kCGC4Y1pc~c{gzS;MK91ItPT1e(7PB>pq@Fh!E2s{z)s`v)V
z|K08a;6%2URf@DqL^X3Bm%|;PI|*BDiHO5~|8zhpasO9$Wks^=VXr?1xy_-enI<n>
z$l5DiMVe=FY9tfTl228ahkLA3E?<6SRwtC(czGv~=ag<I_{2Z+;x-;D;$X)~1JGYZ
zY>>t`!AE9qul&U)QIC?|s4(Aj`5dzE<ZMt>mE(0QajDn;7R!*1CXyq%srFMHx1nO4
zuw}6Su_gE)B9`Y^XscRQY%|;H=1AW^a8E8N<UDF;hg>O8;7c&A8q1ngv!RQ8BD0XO
z*3xr;GRiT@lb<rBb)-G=dmeZXq<#tIa~glZEBNu}f-4VEik(pbT*Y;9s9zfru(BhH
zqnk=khR%r)yJUZIBaLYvB_wcEk2Ko0z7m-*AhG%miSmd-6rp7B$z}eXhj-lss=d5#
z%Vm|iT+iM!o-djwD`XStE%{rf)Ufg^U#xgtNQnz&`h}5PI%P`tBk~QleD({G?NX})
zPo)x$=&f<So%6)cU32*VEeeb(=qUYkY9Bc*U(yABQpe)d(UY!>dKdl|^!y=$A%-bK
zdwoXl{Vs#{AKHA6JXVDW(q{zDN&-KhtJ8=78q!THgtl#|Pimuy8Fnh-S>)50`7@6k
zKF+}ZJTuv3cOFMsSnc~;Ms0ZEWovYZsBZ}30pCD4b?Z3t35@&Yo$JfqK@@BO&b4R4
zm%}!T&hxF)`WB`0Rmj>Yk6-pGiG?Wr+6BoDK8*wC0+FqWD@Il@wG^mj;@_OJCy{ci
zbG-8l7y9rO=@@d4idQQ;SamTXQS#&0#>Vs9v@c3UHCmmV+v!O0f?`H4%3mp|+fvxX
z6y4R7Cyq%jK5+_j&bR@@3L79KoB>I3uG<EzeE|M*sR<B5RC+FyA0{?{dH`B|wq@rc
zoG!_wJq=;u_;-OO<JO<Ff0>BM1Wk<_<Qt6}OMy45H3sjDPJ#K#uyE#|&C{=UaUg0R
zK)q%g27&_9_89z?**iTl;??0~nq|Q?tsM?5PZMmQOqclDh_jHK$3+A=NE?2c;-{Mg
z7xlBzkvuSeA{G~hY`rj~GpbDHRU(W-79@_KLxdB*9~bb(-Q0{YEp>*mF}pKT_6ds?
zsuiK6xxYsa)fTYZ)NvphrKBd_E5wMvM|IMfYQzNqyNyFPAFOm)GRKkk<9r7e6zgJ!
zyCz-|%hN+7!wXc}5f%qOa0ipsC>q-Z@K$RUPa%AmoLatEba^c!i>o|s<9FB4q{E>W
zjnns^XBIO~oQK}L@nA;bT&lqX-zz_RT7UHrml|mPn7AZ&h5<|ZfwUSPtR(}QnqKTk
zdxz;YW@wFTn)bt1yb2y?+Axc4oygou6G(Uqa1V6gm!nii=+<&F)glQ@WEG2xBpM*O
zixf)zfqtAm|4Z(|$F7?-Rc%?ZJHYKaVhNK~Czhi0_`_x=9M(gZ%FWm?+>hrhatlnj
z6Mb3`Wy&kt%brsmNUxWTlfsRJrrH1~iX{M`ljps<O);7&Q{E<EhL^q$9o;Q+;hIWT
z_rFzbJ~5AEDy92Pjz#ky2&5D-*11sihc;!8RLBny;r6)?!FQ8O=Gug)@sV_Tc`oYW
zJQh_OX>`m3_Fis)99xQycuH)g#I5NR$S3}vT%dIp3q5MWWf8S53ua_db8sz|Ljjq%
z?YGaK9_fXFn@rk$6%tudZ?fn9eQ}tjr_#g|DuY*7j2~8(+D8#%gp%EwMd!)Sc&Rdt
ztPex*W~lFe#J*N{4Y#!Og@4PM9(A=~3>WumB=B6Ld}=CbtmgoyD5@&P7LaUHw^J-Y
z9AExYV?rNY6}l-#(0KxL5@~5Abo(Q{6MgowdP+-TglmcDKSQfao29|TRI6-V6Si16
zk%wR8jT!ZZ>VfOLfx?4@ydb=eDnXz>irqYIeB{EgUzk!c(<Rq}YrirVEuj8MM?l@M
zK~2;YaPKs1{Y>{zf`Zk`IHG87$}fwo7bTT3#=7bqePT?5>Q}NN8XP>kr}XU{6GBqg
z(N?YeN;j2eiUOx_*gCw|SsZ3;N#+>72%pa-bGpQ=fO|V4AiJh3CYY4ztcKr7%DMfZ
zaU0JneZY4wU&Wa0dzzh-qo(j8YaJEU65cnLPatfA7xI@?{<J!>&~g3lw~Tj1HH%Ku
zN8T;9Q(KisKZNKKc2(tz;&iL(;sIQpH^w&^b>}&k3RI~Pg00rxIfaHnDXiS*Nrsuz
zh+liR{Jgm+gm;@zrn=OGAhfUwPkpe}BP5Li&<?4Z;L{sCor&g@$GYUQHTaZmhRm+8
zqEQDqQ8=`zd$HcuvTGH!=;KYG?3$J@{7p>PsN8*|HX%P>2e+NRHzQmoA>wxJA`dIs
zI@jO?oui&#!woHiQ&y*cDe8!<@UM5U?|Zk^FCX=IxTOHU2D`vy0itSF511e%1kt`Q
zB2B=w4b-I?DTuEj)Lt%=s#4P$rd7hL(<}kH&;{B#4V09tm-G)!n9LVV*-aw6#G2MN
zFNgUDMU@UC33?n!^nnd}<E(YSp+q>dx71HHxh0Rknalip^Zpn99e!TGC@)BiQi|1N
zf$l~^UupjPPgB3mZd?3=Fj&PR=w>ms3)(RDcB#fm>R>lLMvpc|LJAsl%SrL;!LU@(
zKvSJH&{1latx1zY^_yEz(PM>lYd42_w1mKVnD)V|?t7+bRp&V#Yt96FxwrJFd&QwT
z>ZcE;WG2r)m<Q6;Rt*9sMs`}u3w%FQ0K7mkK-x!JifG4)WCKzFfPc1EszD3HNJ<@1
zHcECrZ*K%h*C?46$5+fb52!uOSjiDWZ!oZ`u=FW02iua_a}4}0{sXN!e{E4=C<I+<
zF5fFtU?p@3REyf^#inOFML)KD^{jFY+-PYx@!l(7%WlMww@Hdt&pJdjuKfIJYr<es
z+`FBaTT^*U(h9DN#;JX0_H7HI#5JuXbEkGaZdq<cQzeyQu^9Bl6@SRtG51;<KZ6Q$
z)h7d=lB_-g?2`CXqlGya;MMy#1Fw`gKG>IxgMQ|Yrhcou`GJc4RZuuA=KkbEHR4>7
z*X3-k&d7N6c+%xYwYHQ=9>CffTq@;ttAtxX;GBK6>KKqig7>aYx9y#XTj`oU=eEUx
zLQ1#L<{V(C_NqKE^_lk@3T>4w=FNe}AM_#hBkMt}6UW0OPo0EV^fRo+{p91Az;Bd-
z2&}=Mg#H^ncDJ<nx+^xImyzT$RN<w~IL#5nztexkPo7Drq@2{ImAT9WcE^i*n`P#B
zzNF(Ac)f^k+S%S%FU6JgGv|Qf+2zsz(!yN#BPoDDLbI4*15bXN2_$rg?Wh8Lr42X{
zq5zOBGPiRUSWC|P>85}!K5^h~hyS~UNZ#)kn7Gi!{7g)aVDojCKlfrQL@J75Z85{m
zvFK@<ZUSeRy^R=>jdt-iwa!F4Ety%;pX;k6^wTkYdO3}|ch6s49WOqg_{{Xm<A#rv
zMu{#r=O)nm*DB7YMCh2y-%QPF)LnJX9@J*}=B*b`7-xTFex=GADyFXSB;^-Qmr&na
zi!^?PjACuJx%4bnqH@>|0hU_OOvGJjQG16yCuJmI?uyLjzq>_snJ!6Yb(YT8<ZY+a
z<iF{eg{Ys#Dq^o+|IGif={7WM-ZwbNb3!jHrc4$7>{C|Hv`dkQMcnk0aJ4gBdww{4
zEgUSuIM?PZkxdY*cvW=3hlj~kwVt%F$;}7pNF%mH_hjKR*ae2H<3DaRyf!v=oqE|W
zK5ifTjpL*~VmH_-jWzeD?W|S_0G(|?60aKYMWVO$m6pwCXv`PdP9RiUsq8q#X7>D^
zf`tRK<Xt8DqjR5JIz9s8z!&47jed3C*33zJVY?>5-bsfBHxnO=8VwCGDXFbvhMjGu
zcuCmTj^>Y{nw+%{g+=(6J+oUye76D~bB4y+#*}|{HN@v%`u(BzEZdt#f((p|3YL$^
z@aBA_Y{X~;=;G5A`6ZdU2VaC5VN-+~bV=gJuZLVpxk}fK>lo1*;?sXXPn&?*xFl6G
ziL<U7BVg_86af1aKfqufMzB>??U9%oDK{M}76T?^{_Kp>&oQ$Ztv{Y~0OK}|hJE5_
z@f6$o-)@@dPdxAJu>RVpp7uoSAcCR(u%cOqY2@Yq+M{75T0IS;^rx#)5Jb|@(Rp}y
z^bEW89rM9&|H54s%ti5jxc_uhcDG3&Z|yfceoq8u7Sv^Sx_w8Usl(Ht&Eu7~>`>F#
zsMxj6TmPCNZaZ{}DpoOO(27;7Czkl;K;d*27q6FVOJd#iv=ZXj4ss6Dud3K?jo!l_
zvAzQpR$~`9k(y&TTgsVK@0T5bORGL*3CuqiAeo8ceXXQ^RPKlXS(ULGbzOKXb5LqB
z1z#=7$lhG?<Q`dfJwE4=YI^5u!M%$?R;#1=<t|N<@#Y>@DX6IJG=!H#d_7Ls)85Tr
z-F7`wV!M1KG~qH$Y)=F7lsKQqZ4)WmnE8;QI^HX(NU;TsU==z&$KA^yG<r;qjj-;3
zPul}UYrWe{{5#eHIZD@ubC_}6X#_D*iXV(oEEx5T9gHc)y(7Na>Vx-6D<^(M_Slqk
zJL=yB{+oS`X+I<)dys)?vWFS||A79UUHli1Y3FJ;pxp_|f&AciJ)D{MCH$`-;h_*k
zCxD8sK8I#>*=v8Ifk1bkzajUF_%iLn3~JheFL=B*FOQNvo%e;XTUU9qHEcVdjk<Qu
zgjghLCl(_D*V*G8&WCISvIWv3!nH=36Y+H7KO73g(Do?2RgEP1#zsU%P~RS&1D<x5
zGwhV#XcNN9)vHr(Tjk+W%^W+#$E!k8x#FqAyj+^ke>n0{a4}Z#ZJ8gOK6duTS`9Og
zhjzKZw#OWi_uWlAZuT7}3)|C!1>?2(T#0(sNFG~_u)OI~3IHS=us2FM5F?|mV{bU8
z``s0QFXLQJEMA%K#rjTfYNu?JY0sXDWkrJGEGgaxJ#y`nrbaBKUo$m&Rc5;IODM>P
zP75Ai|LntO-#4xJ@}dNO)`FPYz*KpOP7fb*oK+(8J9U^}Js36i&v?EcB^AoR@Dd9H
ziN<U^T?(mUadP%Z>6-Y5c{J@aFj0}(%1~pC{^2OZ7-M-HS0`PSiA|waN9y?A4ZR9(
zM6aQYj2E3?F20^LM#&K95Q#Wq+p^piIoM%2;~rNmVM|f+_m_d8eb1aafKFAE0iXya
zgX?mnmzg!*a~7n+R5=!<=}<}W*EfigJIp*QsW7pjcq2U+T8B)mY?N=C%}@dyc?Ue+
zn{?hoti(LAlc}p#e9J=oIvwggO#PmLsS8%j;US$}zHDv&s&WSZW<6(1HA-|?lZO9q
z<(Sq+9oA1bZ=Uhd*ysVr)!1YYa{}!iK<>66Ic132SBde`3i^`nQb=_p`xuFHsk2xw
zUkuo#MlEJ0B6%vcNFqU#(it!~VyB)|aj?S5$HC&Bczz6ialgpxih>{iQch-k*4~Ub
z?eQPgbNq7;yAC_wXBiZ*SQz*0O`)#7*A&(*?}j4xBG}Eg;1Tb;=3@6at;!A}9hzsP
ztETMw>@dwMc9GsTz?l9-HJ`cdDX5P66bhGF4>^*WANO%@DD@<LFzoM6MVOn!NZi`x
zOFMV4(H5NR_q5_*9VVy)F7y<wMj%X2I%GwRGb2C$DH?UTZ~r5@CHwE3tn2pR$EHv>
z$h?i)_kqUPfz2x;*g{@<y<~db&jlsY7@TQ0+gPUhp+T)*7eC3Fqa0c~-k=-|B%JpZ
zu#mzPe?_~t?9=SdoX%{}H|uyCh&-SQIjwwcyygVEh@Rlo6VJPwiU;uPbqgT?v~-wJ
zcC1UyjIPa@Zt;yz5yAiW0yLJYI)`(w)CtciItqNjj83EU=ajyRDKCiApw?wp;4iv5
zN2b^Z2r&n~fyVa@mM$W0u504G*v*_r=X`cyb{be@mR#OQw{~i4ysUFlbD{ucrH<>b
zZbL)F(v*w~2w{Adu8cQs^e*_%*wA#~lXL0`*Yh@BXHQ_Ad`V0DAb>1;Z6Y|?A}y;9
zw}7Ww;7~9o9hG8`p<hZ2K$KNjux4=56$><YUSk(P-FCE~-EL4`8QBe2*){ll6VBH{
z>X%hl%)HJjjmrd;dY-|m|8?GvfQ`%ZFsIxegRnzJ8cr~m2(Spi*Lh>4CN3bBkI}ZB
zgP?$yW;ETg-!`l{pLXksZp4;gst3$lJ%!gEIUO$$BQgF5Lp593=nBj$9hhOv<=Y(x
zr(7du{XcRBu=ncG{OUSu9l=9p9bLUjO)v1+_^ZA`95HzY{Z4RU_@VnVyz8;7347*}
z0TA>asbsRKJG_PL;iIfVcp3g^9Kd|5gV2~>EHLm%(o5qPB5hB3jStTv*IWPA?FFEy
zKcg;w-{yfc&p~*^Il~{y_CUL{Nl_LtHELxp7q#VbX}<H9i6H)iD@~}Ae9*OZPY4>$
z9eh44v&}br{LbNJr;nD$A5xh8^Liuh+lS!IV9p26BcO_@h!`-anz}OGI)GQ`8k<QI
zt<4{mU-ZLKDu*v8f+jNb`pTq=Ub&e6<<pMT2}jLKbg!$)2Gk}p;v_+ILP)vO#UOoP
zUkDAlxWi*oP3a=4>ZuvE%Vy0e4Rb80j4tv2w;X8|{D_tbL9Y?CvAv7?8jPJ|Lf&4V
zFzG0U!oR%V)tvo|tM#a-s<WIISX-H)&(hnPbn(G_W^sEd_od9*#PPO7#*w>lP^7Dw
z(cWD(FcY;}EW20Tc!@lYG%el&ryvF;fEbfQfv!m|%OY#)PZv_FdWZ56Sxq3Fzyw%Z
zAWfki1%E1gv%y2ZPWQGXvG~PARj;RGA}agP^AOD&f_~6NTfM(M*BoSbjQ<&&@?l<w
zG$QVrk6+g|PstdKU%GvkW=~Nk7&<}lT=Yfgw*A$A*Z#|U%ky)7s3ja;lVfsI<{S1Q
zsK~&zC10*r3_AO`_#5mSq)MLy2J4`xh1Kh0WO=qg|Gn_8;E+hOAW+|#SOEQOf7M1&
zY;wtMs0*w_xD74XrE1bKC7=ny|7B`A_!%)!J-(xjfRZ4zFdA!Bk#v=E-|<TqJYyO0
zUon<$&z!ulbGjzs^d0`+$ayc%R?gj9avy49E0=g-JMWXi4EHclnyt?IxsFcuKnC<Y
zIY^$DB>)@D%tpv~*POEblIGpykzV=-ZpX~ZO63d>Aw2X%SNrgKaO=brpPb6R=w^d+
z^OE|$sI)|O|2c0+;KzR|Y9>~uY>WFNH(8B`T75%F+*?$5I4J3=Zl`!;wEVEp(`Oe(
zGS$Y%XOY!rm=PAiw>`1}MDUforgBC|SHj_UnR1utLmY!a!Z}+u^?Rh)KiI*FC~3hd
z*JgQa8If<63eNVAUah_}c57EYV8~k!v8Z$f4hyai|Me2rV}UOl2W{9kjJt*nmrK^q
z5kgWlgB4y7|6XQgaS9Fe?4|tU&R)}k__(R&3hoA?b0-!xdC8%mi#gqcWfC>QU&<l?
z!o9$^Tw#q4^vH7#$Gw8kcfhl_U>M!JHI;`L=*G^>&5A)h!-iMQ>4s-L*greuq7r4i
zdhq4CS!4OlSNkkCfjDuh?=*OFR~p5bu?7w-O*zfxWZ&nR`g$JBZE^p`34|>o`4pM`
z)pWT;IN+wusS}{?Pd&zo$PC96DwHupBFRncC;IUC>%<Acg7~Wz&qThc-<y8*Sh;_B
zJM$Qni4uiaVweVCKiK08T)XuK;nRvq7;{Za<0{K3G-O-^B&C1vPJ#O0ZFW;2z1HPE
zDx_iO8(QLjy3)Gip+9Xe{5tah-S&H?x;IU3p%tr%a#|n<5Cn+^G{wdfDQXm8@>zb)
zpfBaf{U~k|wn#TW#T@PB?;L+3Ro9(4FXDTqovUGmrj7#LCFGuDtKE3n{sp%&9TPBK
zX=oS!{7rfzgiSwj>1OgmNo<k40hTQGGd+TEn-43!X4ZY-*bjp&&JNK$n$F&@AW?v<
zRKr0VJ5VP?VgN%wJzyOgeJOPmk^Eiv=U;OJ>nHe#HiQt3ne|la86Q3`82!B!rcfqf
ziRt~H%V)|rhN;Bq+W4{iwNblQnQX|XxgBnG=eADCjjndj%<E2xEpv*eZh7y0fjS;#
zNz<9!|7O}|X79?pSVZxEalSY5OFyi@_JZE}2OP7shmi37wrf6bsx5c@k5(PiX{&Jv
za_M+XnVT1JeIG63*Zu4>=W`5mk$KLCYPa>WY3CS#<9jkdnAF#MZRBOhz4ReW@mH51
zSBdDga0=$o1Uhom($v_REqgqdX@l?jovWN0Fg*89oXgD58^}R06Q4&|1C$x|v{!61
zjC$~XnAe3rtp`2k=_ToWAJ_u{dEik`7%U!&N+mM0s8|xjX)eev?OCqxnLQ4W<}5kz
zN;5+mIh1wcl-|kSUz!A;Zt_Sf5o_Z*)0-}mNzKO_IQrGw`jlP!OD`Q=-SdDRDxU+j
z{##`);4ClASSY>)b?B_JA8Yl09vKM+(8LP#3jf&X4eOVmL(|QVfN$@&=Xu?ZjLFxH
zf(5@vF|pv45XwH<#do1EP24h!mt-*N=|;=(O7kcJbwwReiD(?{{7o{zFL`$tGsxEN
zT{I~B?}|l4qC4@h+!~nFblf+>nB|H!Fin^G^Rw&Uo^9pMCF*nAuJ*A=Nu8=J$-y~8
zdZnENT^R**%eSsuN-)~ahOOTQ7b7!_KR#``y1IFMkGwyQ-di{jeHF!2wBt*14yh(U
z!*bWRAP@Wuh-aY?X<yKLU;)Q&HJhH<UH*wqWkxv;3$G-%CJaRCoL#geN-7WCqSJpg
zM4*F=VZRDKpCW_0V~NFbY_#G|TH9p;hHfz}sUx*(CQg|GwK)DY<e!hIc!rpi=NaRw
z#%rx@=^4-7WMu7=1lNHHkkRk)cx4KYpgo>VufJWsNGw;G4vlJ3uCuDB3(yP0U9n65
z^_O^M+SG~a1_Q7(pH8WbiI4_W&L!iOwL(gvUxLJi0+m#jp#7O{vV6Pqw3K*OVwbg5
z3kWy5cYgeA8ZOg`<ioX+=?v=8lv#tj%C53S)y)%|?f+HHOf2!Abhv4tE8!3n1B}pT
z&*^Gb8bw%mQUIq$>{G4Q6=J?`bFF=K@J}$uV3uv`#=+<H*x(bHrs1Y)=hLlzy4BP-
zF9{-af-k0cWN&ZMF4rWCkdD4pKCf1Jf}bf+?Y}-YRw2;DSy}5Efq<$0kFl-U*>>^F
z#k3;}IU`Tmt&%%otJWWilJN%Kg`gh^WFMUV>uTz@>FOe(vnBmfE9PlB_qW9~Dk(fW
z3_JfcE#%@{Vj>H9E=qrRJ`Rpt$(FwAnk8$m$?<65HE{K-U+xDZgsEbSg34P}GX-3=
z03j*xB>Z_2ZAiQGD;=Bvx`rug+6Rjs^TnuQG5x_OGLafPaw4uavf_Eo)c*<;d?MX6
zoH8cz4?*749Gq6$(AaNSVnz3(TC0i8VkrATdTA|L_I8}bw0R+yx)M-8Vg+-gic=yi
zm;>j|subAwh1}m!-{0Sct1j;$8Vz?p=CbFIL9Lb3bHb@i$#pn&;$FzR9Ii0BS$Y$&
zF>7x~gwFGdNv+54i_$KQ;dGd~+UKe~T)sIRAziMm(&*DA<DTv3v(TfR6+s+LE<ZL~
zB%ip)Qm9+u<n1I`#haa|^e{*7w&BN*#VH*&ws;&fjxiV|Qi62Nc_5JGI=OeFt+XY$
zKG$z3@ZO-;yFy}Z$9-byPuOcJ2oq8fB^oGp%jC|#n&hMAH0LM5x1=X)S?4S8k!PJ<
z%!h$bW`g%eS{ZW;7x$Y}k#_JTzO7YF84Dq*b1$>gY*m6~ZaWd`?{G87ENA<xFQjqK
zL>1aLiR%x4*`baNpO=O5F1@AWD748=wx?w^Q%~Hp6;8WzHj*Ba-MLzt8wVOns<zPR
z&eVfRy00#d9vJ_lh3z%LzY*DX=zINJ-{UQE4*(fJtCI&J5NW=B#%|8OE^GD`5w5Kg
zk@Q10<XYrpHRBv(lJm_`a&W`<OI72DsbGEsj`l*SrDyNF4>q9lAyvU%-!6h^qGl_R
z#>WH;4w4m@<kf8BvNh&+uSWBa47xy+y7*sBWvi`Tf%UujD5aNoDg>f{ar^FlLkQHT
zC6Gzrddbv~%%4<h-VnYGv|Ha;_EWhF@uoGic1uHc{=_Uq#gp_`{Rdn^4aQC65|Zn<
zbzgWJWT`uN+-Xqs!QQXuzkzuwH(ND6#5)PhzzdKmKj-?8T0N&;jKnZ@4GgsnxW9;g
z2X36$4ls59eEv;WZpEnrrKn>pau6m&uUrP4`6O854H-szf^VEoa3-R@?um%*t>433
zbtdneG89;!9_#@UW*-J>QpyG<goYZ2iYo5i|9(b!(w<7iD;DsF%y4#Z7Q_=!M(}`n
zE(lSsd;+4{=^7IQqR-#$^t>F4i<$sP*oo`&I+WhpbWMy0kB0c!MqYaV?T>Ao{aGH=
zD6X5iwiq)~5U$1dh4q(^Iyw*oFK;hpI*wUm85oq|wN{@ye(1Ij9kLhgR_d;Z7xDcg
zVuB)f3}Hww3iYO&?o0VK|FWC!R3>i^T9g-^H_L-vqDqfN6@#l_Wy1=NJyWox@C4WA
zJM=qmdp38$N`c}Io(L$}k>2Y;M~3h6iJ?jB_+p|Ob;!^Nn_JO&^)d(Pmk(57F7GMq
z>ix!dm#CV&OYY%!J~!JZ(jNuCw5R8fo-Wgra*CSRv@!)J^QF!yIRH6W?%1pzcfd`A
zE|I|{@|?C2qo?3c%89#!LXw&~)4GX6LL<2k%5dIvdYE`F);c<@Xjej9^DBzlNFjeL
zx4li3b4>N^EOzN0>$}V<bt!eaEmM9cY)DRK^55MtHH32STgx-jyk7UwkVo^sMI-YI
z3sRZ|v%QyCZwa(NPxgmCj)MZctM)-v;FeBS=v48tvIFd>KX<!1Yk6T;DL3|}fA2-1
zy~Igw<+}eOC%W}mhVy@(Mx$0{<r_44WS}2|0rE0I&^00G)R-p@{Uk5&4{$TJ-p-f*
zcUf|wK_&XnsU~HgZgl~T)&axD)|JS~8qHbvSONNP>h~IlmYkA#9VS+jnrmwL>H>nQ
z94DOFosM$6p6!@~kpQaxdxWHq9cXU<dd^LXeh}5|{@;(599}QX2sX;aaa7eSKyUr`
zG7$9?Xo~Kf=pVy>yvUY3q>TrA8G&axYxUrED)Fx(3QS9X+hY)Z*16gGI{bbBqZh%A
zZRK+C|0}16PCqlh>dK;o$a&SzKo4C_0S|Rtr+W`+w6LDvCCyc;O?3lrf;&d0+_Wja
zn7B2*R1@VX21Y3VzNYRK`leq05uGM~D5bgguh62<9$M{6cXl?OjH1r$zZJAfK{TF|
zIv4qs^N{0BXup_|E!(kwWxVhCC+8qbCw&^}l~#yhWo}?*<(Tm)n?mQ|!dwvkNZ7#X
zMX2AG4CecrZ4<`yjxH%dwU30+e%UO|el5Cj>`HlBuLa`u_L)bo>!Y$7K%E}%fQ`J9
z_Mqk<v7KHcw!jngKp<?Dgf=}tQzEB(SL>KOg32$QwSXfX>NRo6Y=tq_Ysx<^D+Saq
zJ7PAN!IR~bhhN%SDbCi?9A;9&hiL2;8nXlc8Eefx!G0|=FXDGH;2gZYh+pLda$nsd
zue%Ih-f_yf16rN4oBI|+?K5gILi1oQT}?x9g3v#pg6n8IA?M%wn3cUkR`p39P~ys|
zIftO09#{FEe{*oAnW^knf3&oSzXm+k$KN2u9AbA&+N+>rD|cXVNjb135oh&36(Kt*
z`LcmPneoq`l>KWMJfg2^S&oGE<N@Z)&wC-A+gmui9@IF2Zm`+R=_w!Th$+?xzpdey
zx|EBpl4<r+<HE+0O^fXGhthxetm;IkOdEC&PR1%ahzi#zxD)886>p&8?v$YMxO3|>
zZ2BqBk2MW`)%auhrDK|#|1(e*AC%S7V5WGES5@;Bj<qOdh)2MGoQ7g?(aGjtM#tzq
zav%ly@r?n`KoZtAwx6p6d!!7@KTQX|`>IzrMjkMDNUPc0j2J8660V&GO70aRQmWb<
zXfxI5$s$Sw-pc(d=IB-KEAff+4VE<e#SuG<!}qVt_?z0Wt~}t?Wg0OrAJWZ?LTmjx
ztq&t~<M|%Tg*-}Rv{$oY*Y#<Qz}Pel&>fa(aX{k5;+GETad*uBOTN`@Tr=7TA!?*S
z=N4u3GXBSG-kh`~ttQWG91uvfM1-3OlK2cucH@|TMS{jXxFZ(XI>0_d)-spkM_Y2o
zz%P|8Mm<9q&>Q}n&>9aP>-}!|oNO0Z<>_eU+u{$TsE7COYTrtBnHK93!p|R!T7K<{
zh1wJhSG&GJcYv9wzL|aADL>Wa7KD?7U+*e|swsd8-^=J7Xr(<wzOQP&ib!6BTAcXy
zti5a$xj$6K@6D(z4Ipi;oFuXOZ7g_F;=(H?S*6M)jRDSQP`KS=<<lgMrL0nAJ&{%J
zi>r5*zPAb(=d5HTF~J~#<2T8+F6HN>5q3&v*65|+&OF_iNj!C<tYUVnN=Sc?f{H<5
zCgf|BprrFN_09!pbD^ARXJLnc>-LICtdAPN0f>XL4tcMa30pdAgMU>#dOI$Gy49Wp
zg+6}CQJeXbm_v9~$k`(q(bxcAB6PMIu|7Y?)o@;Q!Fg(Sh)=1`XgH?0Y4KP-)b+Je
z{JX%zd)VrWZ<}Rmg~^L;VH(BE)|oRSWYhI;bz_psM)icM-;)?7G}TLC@qXcj8xtq*
zwR}RjZJUo?`THm~wzK62JYVGleD46luV43)Nq{+i#sObV(EG%+2MWaA9GJ@q?vGxn
zBlo?JKWb*;MRx{FAN2>GN##}(SSiAO#R_qAy>?E}9B?pD^iOt3v`Fv8jC^xmu@+eq
zDIVf82J$|s<(r|=w2vrOxvl*oXghOGLq(vrwYZl-vgUWgog$TFYuNr=n|+l0$WaK(
z<uKmw0nt~w@I2VCb2xf`o;43i2N$9Mwg2KMXGd8AAN-8@8SdZ#REjIK%+I)8^~`3u
z*{kS;)RXEi7tVWypX{tF{e-Ph;F8URDl*u$g^H<A_IVbg`g6H=4c)Z#ITxocr4$o(
ztZByR7eo+wJmi@bP)7Zf_1?bI8H`0QJ)A#s``Ms-oh?qkWyLu=U>wNW@RYZ&Zb^%S
z+|8nH*i{y0Ua+}=g%Pzk$(e$^C9Ms=ATsf{+f5kT+=bdwpN|@&jpz5q&ytyyKf&tV
zG*dZsVNVv$q2W&3AS%2DsXZ-`VdqyC(OWssVvL)5#dhryJ@Sx=qb{>rA9=#-F>&_t
z>@ePMM5>s!ENxasKgDCa?>dQ3XBHO`iyOJ_nuR;ecM~r<_PZX(pf}lw<D#YYmhui7
zmo$Q8aE%8ouC1XcWy|COWerxpa$qaoEV8zA|AV=2Ie4P|^XQb=N1+vi<gWs5<tY=-
z2HNp3Ec7`4eyfGx-?opWm-euE247s>vWNJ*J8rmj)~*bcrklIRuSnYCr={t-r}UMg
z{Fayq53laG{k?0$U|GI{tW2rQ9B546c2t5=E9Rb)imHvw$mU$t`*YN~df<OQmFd`C
zvx|ZBlemPR5`_xfX}}@()Q*8ZFrb7w#lT|8AkUR?;M0(+v+y#yAlvNxDwn&Q!D9yF
zb|R&u1a&>u7myLnlsx6RH`rG8$`t*$7K~>_LhUCG-rV($#IYm{B;WQLM?g1`)r|;N
zj;`Co|2gTP%FOo92xJm1dIB%Md_ho$#Y?Gy1*JN?^oHFjG?UN;cp`ae&%9-!nj^ib
zFW_OOWM_ypheymF_F{|AdVb`w0h-_*=B_olU6(3gNABU+hhMP`UvWlrsh@q3oZm_5
z?A@@2hWPKLy?MjJYl1wJZJ*j*viV!|KL=8+T$4e#(f8^0iF6kv&InmiGNO}v5f9q?
zH?7N*^;%9j<89H#YyLZ7Ya5@`tZ|QvLNijAxZG?}3H%&;TyO8e`<oG5B`rP7448Fy
zHWxAdnc=ln1?$srcZUl(^DAhvREl1Q9&(@fBm56%1c%2YX<ifttS4QIS(FmaF{`-I
z@-I6LF_ChYiF)zOMefUU{tEOD>YLKXZDI{Q=|Z6J3}#Zt84GPiqyou1SEx~E7B*0s
zPMMwY5$^FO8bj`HG{w(Xc}B~7?h|%%>%+~dc&WKE6DC0uHs-qG<)GIKZ=PBqo(J0t
zAe)W(00ZhprY@!4y}ce^xy8HS#4p{j!SlI@^EZYBj43M%l&IsQA9-6V*58uyn^h^a
z+e}@`o)wU5-&Gm;rD%vM99R#H0Az~mIU`~tm%Nh%_Kzl+$U08qB^85nilZa1>Iz+3
zk$cgFGI70!_jN{0GB4&tGsG;vG1=lkHedg$X(A^Y!_#0Sb|GK}w-Ip9Kc&>+`<T&R
z?v!r)j2bvnE*@a9Mm}>nUL0M#|L=n(R|g~IU*fkV9OF*horjT8p%tjgMk(QYCq!e%
z-0$_PI=gZ5cK?=Pczis%E`ER}^SDCr@H@AX-@)aUl!o^Gq9agURgN#<8p|-2ugL*j
z%NfBvK_&y47r`#4UK*rj!bsj*ZHt4nwd9{)jW%&{AsZi`bXG+#F3Z)jb1A>e{^Q)X
zi2R(WFiu}XrY)e%631rOilzNYf7*F0rG%qXC)p}kGI5MjH}<=VRdg^UzqI;wuMVYk
zI?+T*Umf|$*z;1TqjLKzlaDIQL%Ov-e49$SF*o<jn@cGK{|<`?cunk1VVT4PV`L-0
z3g=ksWK|Nw=gzT@UaN%Vears~jY;XG5uz*(=$;%Lig1lux$x&KE<1GZ{jAeVT*$#(
zrn_d$F?RP7rEMUVk$BG2!L^j$@Ge)zqf>2kiH5DkePsO`P*KE;97UWyeJZRn#=g_s
znsZPVhb_{0@zl~+!fJxhOKRA{u>Q_7!~dJ^p9B?Qr6<}Rj;^EYt66Wc2Xo)}q75U-
zS7N@bA5OH{U5PSM2g$?E&9t|e^VW0Vl+RM>)i)i}2l+leWnF?<&fs>b5APhQ9R*MG
z8PYWq6e@?hNi)SZaBDN*yK;RSO;d)eso)CSy^4QE_3gi6hVOkTp{DY`BKQZj<g6!G
zLtUuJDr+W>*rO0Q{okiKBUYH}iXIIZ^CG|fsb{`0i8Ph35&a?DYw=3w11Ut@jyq>v
zTKO*_Mn{((IGpemGGQ2_HmI<#fkodhN^?>cv;JKKWhgi`WQYD4a*N98F1!Hjv3@|d
zYeZY97JoMC|2%OyRO#Yx%;!NT_fkq}^6H(2Wq3ivibz;dT1;pTX_AEc?ub0|_NUOd
zPA<32W(o>Kg{Qu)?_Wl8B-vZuu&fm?_j~U~@T(As7{>MtenrWE5sB&p60v0~jrqQB
zDV~SH#R$Hg)Xu#PkL2%Edwq?}c+og2$(>oVENO*fANhV6zw<JAV&b^3{Zc!(1Y2w&
zo>F~l5t%x|2(rhRt~7dop-e&$y=CTR`VhEk$21hcR7hPO&^?5PgVfrgRhNzFP~Ek7
zrU>W+ibjN*qfI%hqb(@MNyQpg7vsw0W)~2uA-^HH(Hg3;u`!fvk$gJkGIX8m;)V_c
zueTDNp;nXEgFItBc>?_?Jody){d4t-uZw3#Ys+G`(^B6Y{g)g}3Qblc9Oc|TtKr+7
zAlePVU$?3|+89b>)^Ib9Ecyo7+%Fux>Lp9Du@~E_uGU1e=~LfFpJeal7B8~?8$QFZ
zY_Fl%4=SAJw`6PIS<?d7LRsUi!ed${9jUrh?TCLF7N=&OtKlGm&67WpfL<)m4RAij
zQ%7uz2?fThnnW7;$Om?{9BMk^xGiS6-#i)_-EZpPub`VjH?og@;G{6zf19o+=htT0
zr?8QyUH^2GLeQCe=#$|_1%fvN_czf`MdicRRP3h$TD-^x-|ZQ4sIQv{d|?f%QhG1Z
zp**O5iTRnbL||Mtq<-ycA8j>YFYr$z^P_ii?9FthqAiK+eLr160Rg!r!8dG}eGj>$
zl}s}=A;<l!4EOg<&*1)VBvk4|N?9lWz5f!J(dp!8VOWa*0_#EfB>;Z4b~P2PSrO{F
z?YO6-_;cR#ACCK&?XPYO2EJ~&2j@A$wj@##<2$K{a@A60q=jh*SF%18s-f$;WH)w7
z$Mj&`<ZmN5Fo+&KySi|z16aea1b?Ub$sEPVQ-z!H%{8XRsntG8Tm9D2gMjrR_!q_Z
zYYRAzW8G059iA9nWZl>>k!JO3K*LZIFT<e4XuOP6kI(ZeY-O&WI|9&J4nvW+1MF$6
zOJ!bMq8>YF11i*}*UbMRLj9|%vtIsWx$dr(UO%6@LK0ZO1ab*oI%7898DF>#5?Q80
zK8Amw*+!#fQil<*!iQobIf}u7zCnK@=cf{Fz7!LNJUpt+_p8nS;gy^9)3Hl=yI5`&
zkzI@%7b7<BZii#K*>T*;r7ND6RjAz9Vhmog{ZUNE98p5<pQF?S_iWj73*vjHY=q;<
z!mVF>`a1HKu~sh3hNh(W?Wn_}cBPb$yk}(woQE%onU!HnWxa^-+4C@fO`sFj{0J0h
z?|+Hp3QStr&GW(|e%StzK+QFQS~$STa*Y=gBOt7jo$vo{x@fxI6y?H;bW2pR3brT8
z|NQYmizAM4T$qXHVj1Ht`B9_h5&FHtYtJrU_@m?PW$)k9nVuDMVJiHb)mOgP<3B#o
zY&OeyqD&LWcH_qlga5x5K!L0(TF9Y_o9z929i=ITdIN8wNU7PMi^m{bk}v=(yAHdf
zDp0kpC?^Z6fNQ4lBb|7c0JfIim6+ud%-=FF2RG+cIBJ{UeM#XZ`Prmb8`kjeWrIfM
zSXN_GVy8>0n@+Py=Z=5n6>3T~N)N@z$e)}0->Z;B&z>5sesx3=oO%67w!fOvExS($
zu@gvwD4?6mjaS|_T};g`wq*SqMr(E-3~CGJpxbE4*CUfW{~u3Z6%<#~wTlIJ9o*er
zf&_OR+?^l;gA5J{4#9#u1a}SYPVnFk!QCxr&b(jMf2#Jy)LeA;Zd<+ABW>73J~qN~
z2vWM5<yNmnS^PK|+{c5WV5U?Cr;Aj?qT`dJ!=<u0S_IS1tvy{CbDZ=wLEU-@V$Vln
zyn(!oYMJ;MwJq1d*JOSsBe(z6s?@#xsflj_CE9uVuOc%>JA2w1joqWyq=%@gRr^J#
zouF7|?1cHsvr7_Cr_mwlcwiWO(=W;^s9&ucy)-54trEEtS@27H`+(BNShTc>iv$h+
zr%*##DY|)JmV>F_ZU$DP!&zgk46DCRt}A}SvApO{oZk-ohnJnrD0*E2#Qb7g0znsy
z;TWY;gH2((zS_4%=4FVE)pL78>_`PTQS;rx;y?xyd7w^9alzW{sjR7mn)&Z@IMo#A
zY43@gMmiLE<Kq%zW3<l#yc@cg13a?TzPXC;3~xVYMA>4BYY+DF-76O?JGORW&#eL*
zcx8m%!gkEnDml(>8f4#wID$wFPdm_A)RV@PGj@id(2r)_isOuvz;(baC$oDXy%b;0
z+SvGP1wf=4gi>TydB{LwRP<NK>eCEyPaXfCkPQ^UQrb?r4h=JhL&#l=lHg^U^N6Mb
zFwW;RQN3lZWW`B0P=VkKM>&HGs;OWIf7-U2E`-vpk3GC0e!uQ_nOg?9YqnTE*fjG^
zkffgzpGfDJF>h!p%{iIdph~@+bJk{%su=hJ?M2CN+$0W)Z$a%FajqKUi%ZQ-t<`}G
zp&fcL#T14G-x_R^Ol=*Ppa*O}r>#eOD52VqJn(QV`OCkVNTD0-njY<z^ia#rqU|Tl
zBxgs^s8!X|`fpX>5XKx&7`XS51Byj9Je9k&W<85t2H6T}+nF0FrLq5`K$P2-uJ8%k
z6+)2wR61wzb89=+U7l<Uz#U^^Eck<EpX$jj)?>|ZVh$s7B4c8~+<-ncg_bjICK+Nk
z;l<hNAws@-?r9M#;SzGtriv(2%+4#~+jB`2UOveZ%MQm)EG4$eb^QgG>&C_cT6~A#
zUhE`n&oX7=Zzya%1Jr~EVacu)*3;N5HhyTap<|ayV&);aRuSBJV$XAKG1AAh<r{b7
zJGNf%lrxFA=HfzC?ibycfECPA_3h$V5*R+i9O>+kpu!Enwt=q<TAIj$jOZH@st}IN
zMwXCWFFvKaI|e|Rcd>F-$3)4(nF7LhR^1Ul)bRBwen??m@P<$RKG7H0wbjbyDST<Q
z+M8<KaQ?Y?d41D{@{+`y7bhCJH6@(~EWHVvw)as?{5&S?GMIHpNBZVW-45qBSbLb^
z(c(P+%w&$gDO6FijtA*55n#YG%?n2_0g97gDs*o8o1bFTZd`ueFl?W7G#ohRqmD%C
z?Bw2Vt44ea+!85MhN#y+2!z$x<n9Mr?d`WGrWfGgsgq7Z6R4CXOF6>36l=TOTbS`e
zZQOghOyJH%<I#&+XCh#Z*hUp4Rnm6~#?CeZcbh`xo~^uEvOD=nCpV^#f-`9|Vk$Ak
z^!dIQJ{0GkS@-vl9iaotqL)y!*e8Fw$PIzWj5^!Yq3(B%3mt0=7C!aDCU!auZ72a6
zfP?k9o%@tMBCuAzb}8%9WF^^@NNuyZ0o?REoFurL5+GtG#`BY%9;6wa`&eW#aXEV8
zv8->#sEQlNDYot6oDKd6w;o>bqqswf4FpsuKWbj+I_c79A+UD&MPMIEifP}dwHo`?
zxwd65azR{=7=1xM{WA#XoJH>VbdbsaKsj$&icNrdX>l=fH+}0{d_oH}b)Onq(4<c>
z)=v%0O+?8+BFM0xMFRT(H}2s0ndysg0^Nc+=@}EoKXwEwADYxmrUsvc7hQDSTcgRU
zdiZ{X+JnsXo;*DjHD1>@Df45h<H~ghAKm*7x@HUSS^vUv$pbU0*vYX9A{+YAh3WO2
z+UKu*TV(N^#&&13_hJD?GB)mi*A^mEArEv@{%x9M+`h*t)?^VqO9bNifHAHnB}k|9
z{Q84?y=5!#<-9?GTF~<LMbuhqniy{cM;@pc8Zsz3MN{=!yVo|;-vk=ha`-YXN=JiY
zU(DFKENa_9;Ew--F4dQl6j?eA5n6I#_i+SDsD_J#)cJX?;a&z>rmva^Sf~c@5sT+s
zCPl(dKtv>-WjxZk;w-}xsQP4SQaw5*^lf@4^vI$eJDinuT5e;!CraG=S#zwOyZ3}1
zgi*E^U1bKm+B|Ebchf2NT8<M9ofETEbs^agA^qV0THOK)WBEZ+-AY&02F!FDyAYyJ
zz-(}%?e={Fs?ewE1}CX3gOU9GK)p?-{kA~dznDn*<JWZi!|&;pM(hG27?q5()&3kp
zIy0)eTLR@C@vgN1VRdr(cp8-@hU^B7H^pHvS*dyB;s&#QB3F8eOlvV~7_pLUTke?0
zM|uT$W6bc*CgB51qlSgV#w?DA{P9tlo1u$H?Gob+huyXzn|u~Doj}OJSHo$U7bbHy
zVzxOqdP?mj$aUx0D0qwDuIoEmU$QFzFC0bl<hzpOw_n{F!Jm|LpMjMB62>%@8q(~>
zBgGj-mx!;84ry~&Ki744%av|ec3^bV3Z;vjVOjmBTQ~0MlVj|KkQbV(ZjM^Vs5~`C
zxk+%}NiN)~ww7@75d*s}k|L>P4r1IlJjo(@!`%Bqy9M_@lO+_n<*)Iq)hW=kp0?Jk
zHT+mZaVD9y>uq_a?e-Es=$DIVY7)=!OsX!i?t&dj7}(ao8O?!}FZ`~2s=A8dQvR>q
zdDYrHsgQ*h_%!f;;}KHD`%6qyyf<$5HyF41jT-|;l7v^4I>iUTp4z{)Z`atMv2w!^
z&X$?VoE!5w3MDOsy0%)?CxF$)v1@#I7?G5ebfuOdciiy%ALP*u9I_Zo&$!|2OTpzc
z0Wce4zS3`op`{Oo3@v_rTt2M)TYUB7b+_(GuHIVQU)#hFF;`s4M4Ttu%oDpNcqYZU
zvQfF09Q9ROG*2etdHU3)7qhw51ta|ZSfP<TVloyYARwS`W>&g(ZtJ3X4O|RPmZTHP
z?2UcnMhf|k=7{mk-t*gxOP<H3z4S0+46-8r8U1nVeeKIj^9krcir-sMAHY6+d!QcW
z7iT^hy?iC@JB469#;1nE<5$N^fT@M*NR_>{RVn^~^ScmFE@_41BsJ&#aA!j<7(#1q
zWfd|xsk*qdbbRj%WyGH$YSM{uGAPn_(2j0W9V~9A+cg_iHHD0!n4k7=m}h+ljrY%)
zrxyfO?AzveuC3k|S(PQ|)~t0ate{H?bTX4O(kandWM`C|8AvXCEzi=Na3gHbA?1-T
z5#pJmVeuM6%Yo&59O-PNZfo7Nba(%0UUksUj-bkDJE@*Nh#8TTY$T6&L8jK)x@lhB
z)jHW{3v*W;$x~QxYL;(CX!i!Onn(-vZ7|UIQ73vAKskNeK&mRHkA*w+WW~Y9z?Ty$
z6vP*IB@4$RIrb`D&EujYu*Wl$fKn4<kG)e2Y<~St^ig{ADDTQxVt*`CBECXEQ1Cx#
z!rbvh9>D}9n2@LVG`y(X+6w_`AUz8SFIQqKf9)<Uv;@s0C1`Rv9lzTNYu}Vh1)`dC
z*C?be5?+DT#;XfidlX&GwWf^}K8#;^VDwf~$}WoJ>!+73`6-`f*Pe4dt!hxR2Fr~>
zyu-V%Wz`S0m#BS^6YW4GS|V|(dOTzee>JV7LOwYE^@aFOcET4MuQ+%B<t#VUc#E`t
z0d4t0&=vg|lo;j<N-S4>XSqa*r7jA$MazJY{JOx4`j78FX3b+EL^k!0Aqi#fIGGDw
zIEw5+DzEU@KAjstE|Jef#yIZ#EobIkXJ{;yZ3oWWP48m>ltm5=Z=M~hrE~ev_wQ1p
z=vMyEq61o*IhVPMOZ?jaUZ5-E{zeBj!`0an=D*uZ(aEM;6aRrVQm23x5Fqn&#a;_)
z_;DFSK*I^%%sfMY7F5*-1=$YU#r~%jaPOk{pCF=Sj#(4m6(8wL)g+E4O>&P*(YBra
zlL9szoceDFy_kgU&xE?;2)@@d$+OptjaTjlwNmLqP5%)BYj<{Z>ET^&d3pK&^ckXL
zw-+XV7fjLz6PrAHDFYsPdfs*fs>6G%vq3jiyoVs3#gX09VQl+Mr7YYd6_p8hX`B&m
z3&0eTw<yJQ?4mVK#@1<K3G^kuD@7KEVB^L&)=8xLwfKKBswO=5e6aQ{oS{MvF4l7>
z13@|XWaQ+oU~upI%y+YOMQ=OCm&nt~v=^v9lj(NGt(fS3(B~wnENe@kCx6P!CMP<7
zkJGD%EYCI69b@=c?XD2Rw*vZ&saRb=_@JvwB3*`QDYGlfcPXl(K?q$<$(kf~@=5ct
z6>}Xjwp=03$jHcl)rkUbHa9}OE=AC#j`)n<S4fHej?|hJY#0j|+Jq0&Rq|{IEIhSy
zi$Z#x2<uoR1Sy`(p)$vQu57F_@w&Ect&e4wlzSnWSeAt|Oiq!jizg=-LBjt8iLvRK
zd)m<`*G1*ttM|5EFZem2G`(*LXmvFzPT_L3m9sU$`7Pt&nj?NG%+ti-#Jm4oF2^(J
zg==oRtC}7!I;O(O={~_BpnS)dRZ6vC_Y`uHTTUd$d{O-;6Zr6R>-B{3V?U-*Gh5W6
zgBGqVGJ*mo3N}Iz@r2vudbP{ero;H1w2rQgO-@yXA2$qs{!~V{NlJ=O_e2t7k9$K!
zJL)G_ops3ei@0x>=}=7}lN7#eTY&q%&hHahmWAekt!a>vi20kGU4Yj3$2-3+3IMC~
zh&M6Ol~Ww0xTTO0<6j9E3UhMT*J0Kr?&Fs|V|yB+F`Rk&01kg+Kry{VR$tYv%8ikn
zW@7eypSD<nn!X!&;nwn`8vjH_un8z<=t^eQWN0CfWg(KYGqdtxQwU~L9I^Lnnse;c
z$A3p{{-0FytIMZBcNUpcAZ``q)OcJ&AYDh_XVYNij#-e=TUj%E(n(DDZ8wYJLPF&#
zgZ<X&J<078+1xR{-68LK7Q^2)`0!nVKOYIZpI-^PpZ1NG$sw#ovd6!QIDvdRL?{8q
zfa)m=O*u<T#jad3>k}iFA1C~Gj7*F4O0I4iAymCi0t2I?C~8wgf8T?8*BFm)u8NIl
zU$b09!$^$+mYaP(siv0%eV(1u;r1Y7F=>9)Ie85j{P9b<$;E!|hBnDzAlc-UuDE4@
zk1|X_{Y$7t<d9|1&!4;#w!CE1wEmB<V3*X*%lrOV*uWP@^*>LiySVmE)HwI)qn@=5
zZ<<``3c$ig2RKKE(2Aq>B6$tH`(!sWUm72^(<A>VK`ew#akc5l!0U4E_aQx(?Sm<p
zW<q<D;boiLRof=Y=XV<}6>9|xt(&zY{}5Ln^o6N;7ogaEN9<Wiph5%s0QT*Zs6;J9
z0PAWA>nqlDP$b&=`pM4L`|O<e_AqkIsVJezG3cG?trcA^kTMnX_u!RkXaPmfguL0n
zlEsma_RB)jQ%tc0D@hy9A~(1ZA<hnViikRQ<FfEnxM-;mxeLQU)0gXbY>#jCS2-=j
zflS3d#1*Parm$HmdG^h1uU-AQiS<;yH36dTnw<*k_4&nRGTiFd`Dx3mPVmOUQQfC(
z;Pbac3V8{R5X~ohHFChhkMYnDheAl<5A;D9vS-(CRP&&mMz#d=BN_c+bVk-7`JXVQ
z(b$|~+`(3Qln3g>QJH0)$2R4#9q8c|@D;V%1!Je7-F>Yh;T$c_1q-7UNi&Gj67?<y
zglsrgJ91#Q@LhUvcZ}<yH|(@UYyHCHc_(`~^ADfwx6dJ(J|!QUJo0}@rShj#(h5~n
zG5eMe6f?BvT6cE>^+9V(gKz@yn;-H1zQ5Sj!MvW<N`#$Tl)8<}kQP>F(SeXEIr0qM
zG}QX$2_ZdGZBASiSmCBUlUfyOY9<nF<70U>M&Fn4yLm@aIj_$BdPhYEzr3Adxr(A)
zshf2~Su9n`1m@{VtXd|U>ePmm!<C7me$QOSuh(!|^#o@w8%!tdlaENYtWCzFP+!@w
z^?kT{$M?RS!mk;)n&jN--)xmP?b3WvZW`gkQF-I?!NUt@DXoTGh?OUQa^cG4_ApS5
zOHRBO;@*=MBnHxOIwB4Wy+6PR8MwX9V9l;kypN{U?5-B2ZFyIJJW~Hj$$-9lTgS8w
z@zD;%yEQH0y-8=zOH{`R_9eiDA+sJIKo&B9jW~o&wFtI*cs}x8NJBL#5i4mfe=E|O
zgIT;+U)r|uXzptzLF8Yt>5j|aJ-HD_4QG*lqZYJ67nf2IjkB5HiU(Ze)PUQO>m=^D
zPkigD+}@xSLjZe;bx}`uqH}w5q>9@b`>F`mEOz}xxK?cOjYWFcQh!)2qrMxpO6>m4
z%FFo*``4@I6<u_RyE(f5b0)ra2ea5Qp5hSCD9=Lez^1vs2l_X3W}18&Z0O&Q6@aHp
z2VzzZp%vc0o{@rV;g6+oE*rulLoCBR&qIt?>-XGF?6c1uzp=;*J!ZQm%{5<CL)7^v
z2J5tWa0*b=hkmT)V_FBMiCf0xU`I2(Ngj925gbTH+C4sl$$jlV_m|D3*#BnA$@2K^
zX|x0Zu9_QD6go>~K4k4_2?P+M>%=v>+8=T#gRAjqcF;>J?;_?TUcui;lQ5eRO^<`V
zwmXX-2WkMI-iqlABsvBXayTIz(V2HA-1opGly78ZLBLyx%@}M7#V^U2d^{@(*q<=o
z;C4A|dT+~8q^%~!36Yo*rbHUUZ)eN_nURSkL`p8n90Gu}f#0_(Ru$s~WR>fSYY+nT
zj8btpLwa^JxHVJcHA^9^uhCR}>KBv0A3<lBqTX>UixQ*IW<0^amPtKZ7vj?Et84Er
z1c>F)5LMiYh%ZoxRm>4g=t~;H{AmEdGY+%COfAA8&G8Enc{`LMO*e7IO5TT%eBP)$
zeVg6am|-pcl0<g@7jgFlfN#3iY(j7HK{`?Q*v>iF>PY4a6l4!$i~#2qM+hC-=OXy6
zYVn)bxeKIEolgdw;FP}Vq$RqgdBi5(c`s7*3X|EFJ72MVL35zLD%&+tRBVz>u*APn
z90Y{GQ=;6^U3@RpmOieOlmH%_YDF(d`{(|OTYu7+`0)HOdm2#!Gp{LMKMJDo*X_o}
zr|iKh;b)2wuM7CYO2EIzh=_C!sn<nL@i2>)=iYJk4$5J7{gPtcjozivA0$PLNsQXJ
zD$5YJ6R^(H><i4-5!{$_Y&+NiC-$rN8C(JQ-1TD;O69o{7m<=pH9Sq=$SDIwu{42S
z$n{^YG9UB);sb2{Yf8cJ2|Zf&5m$2~bQ400o~%C}lVBX=buojT_hZ~?JH4@c*2p|t
ziL<S@jjgvw->{Og62$c6qMt4%+EO@5Kt4J8E`Pj|*RsP#<3T_>_mp(F56rr-DU8CG
zto^nHqDBD=jknLc8_bNKj#Cn=Pp$u}J(JAMh`7X;5-Gfj7KK%;Hl>^W^N4y~9I-7m
zSO^1r=pFQ?`P}J!zYPPe*}?4g!@OTXiJODfyg#Zkd+ASJo3HqYVX~vV%<=U%(`2F8
zR|dhkIe(y|zC?yq>L^4wFj>uETq;z$fH)xY%wV#R(7Nfe0cJu^x)1>94g5H30+Bmp
zFNjbwhBvzNuUf|R*`P3(#>hYyvpOO5MIHzDiO4eXb6vIXgn9wxFnvBt=r=fRN#78a
z!QztkBj^Ik!k22wIB5(tPAg1I?QEO3!;y0iMsg32h6MYSvU+n2@OHet+N6TG%EZgs
zxrE`A<b5{;M0k&VLR|ULl}eZ`b(2N~RF)}`5Wk|@!yd=Z;|T_XxJ3=&?4pq=$=IRu
zetq>q_h5{1BmR{oAJaTjMub;Dbxfq8kc-KOp|}x)7XnxKORKh0&Jg`;1Ty@`{%zd!
z2(n9xiTZ_~^@4YOVS|;;`IsTA0{2EsMp<tR@}EYx%#AU3dD2A;7DxXUacR#cPA9Zv
z^!`GbfqYF$>3#aPTZ+YLZt%-&^V$A>K$DSAC-O$?g!|jPhsHO9EbH+A)Q}rD?Fi;#
z4FH3|DL}{sHUcdi$&QSYLUmgn4ozH!Y~}Bl7ObnE5$<<>6vF{n9U++ECPcfr(Tda3
zBR?Hql#hRwcN#W3*FiE=i`t+&aro#;g`0}!W-6D2Gx{590cZ^wFNpM%*){}lnJui3
z2>0dc03N|2G%asE__FQj39~&nq{i-Wd?>zyGKDejBzUc)9ou-rnYLpx6y#9J>|4nz
z3ZoyvEiP)Z(-k6ok;mrRtOAX#IN`8$xwLU`y`I}X;?G^;otrSJ=QJup{Y>GG?lB$c
zNi|`mp3mOf2gomlYR5{-IUFi`wI_wKfvZPG@#2Ee8KV)OWi2rIq2iS>3>F6EP$;+B
z^>7B=i!x{TeVciz<WMM&vtEsi?j6BodZ_L+f9bUU)&$)@JkHT#9pVbw**)HXt%>ab
zpRrs^)C4APW&#B@RLdvLTi7eT>dLJcq^o(QOqfxKym#O5I^Q>$OIR^&y|~Zrw>vnD
z*AU_5TMf;dIzQppSgc|CzTt?x;TSK4*sLiC$pd7O3y`BBUl)8~k*J}|{ZE?N`T*YA
zzPqWawGy$*ngVd6^sb@LyA$9WFt-PcU)l~>2i)jqgI`~-;I{lO@gLRF{(!0f^fs|Y
zdWV6#WI9cQc}crWDc|}4fnG4<uHV6NOlozg(u1xrq_7MoNM^pi!Fsu?Qqx{B=Ur|R
zGMR?ld?_a}{dA?VX%5nSsw1n|Rsj0HE88Ce|4qVYv*Vt*Tw3xS4J6g#z|RW4y2S~h
z;)FR4x*{MVPG9z3`!9Pwz}pijBM)ZNB1>nhlnQkTjf}S-{ynVS9BegvwXKYT8oAs*
zyFv3V+Br+AXBcvR=oK+>oOt{es_70nBeB#7b*QwRUP2?3TY;g42BFp42y44{IAerA
zdqY0~s&T6I^lJ$f5&<=*`D>*8r+4Nbo!|8{=eONu6k}HWqvmdTKgs-^)T`NUDsB0F
zpEH(tJ@%%75?x`wT6%M;P{R(JX`MO7r|Jwe!kuz`^bT_AagSMhBwF5D9cnrUaWTNu
zd1w<;Z9TAj@5WF7V@~05!KC`{M)@Nf>hcFfGw=|Xf9Lw<`fmm&7#wHzwvO5TdM3aS
zK*>C9BA)G1>Eb|I#yEx{_YwUqeceU*I|ENqoERoLbP}UnP;g#VQ&RkyvX3GCxVD@X
zb4yy{o&$#M!-Fzuh2naX0I4<uu42n^Xtwr@o3alP+@D|$qd$m?iVpVT{f)@m>Kj*A
z<GS$C;D`EI?;X}b6~y#x6;)6wvONtu-mncuJWqqrw)a~X-s{lX2(k>4pr_~WYkvh0
zi>S`39bB9IC`s}S&P-Zo98D}*(D5rA;~a23bNO#<+T-=vJ9f;BprF>9%dA<J>-_D1
zo9g$G%mWyLbN^X@6bvJg<Lkb9{MEt6hxQHF2L_`n<2Mvwd6#V!4E47b<6_TDk<YsQ
z>`vMB{WnRWyVjm@$3yt)DrBz*L=V?@n^Y~2m3M_Yp*A8lXhpL&qoeat0((n)2C(J?
zgMX9Oki6fZp09-_P8f(8UN}XsECH}>YQ&#fSOyByu|5H0g+#?ZBnrRp>$&XQwlEY+
zI*}4LDnjrqL#}7I${MuAy2L=Vy(3{zpR$}n;rB;UEO2{sJ@4jl+0uC7m%@Chy@nf}
z7#sQ1Q-yjd7)kt{&%T(fx!X%Ub@5BN8{E0L_Ok>&DRrt2(v}cS0}~;p+e{Ld=aQ>X
z>{k7-zXOz_gIQi_-Z!hN9s$z;@^U}8ej(8`RV~CrGCLyoY;~;b$=dZ^$7!d5(Lmgy
zmae#8nPZv_C&SS16#kfY4}%y1NY<EQhGM_#qjlWBJ4Q-#zV-fhYt}b*C)pB>NMvk8
zq^aa4cz)V3VH(cSwq6hJk?R%e!22Qc*O2M+0WWf{#X$NIK&7~=_Boq5LmtET<{0LB
zmE7XEWDk`jB77<HX7p>ntuJ3GC6KS@?~RVUotw{UFwrAm=DN_oS+KY*yr({(D{(dv
z8Vyi8MQ=ZD3Jr?v{av;5Y>;%yRXOp@LXn9zo0C~FpSLP|IuTD%Zz@+@)Zw-c1kih*
zUNFDEJYv>$bj9b)2#MtqRy-Iz88vu@Wyy%+c_@t^#Pr)47x|FE#lY_N!Ni^aiT~pN
z^+{w{;(aG}Hf2zty@CxTOTTBzNYh7kq_$nXNmYUah&}w*Y^x`JNkV^n)N$$ewOB*0
zO8X_#O~%Y^W4U_Du9Uei_lTS8w=WOHV*XEU8+>=5BO?<T=J5=&@G2K2(wK3J^a9Qd
zmA@dkkV<o8YV0ADK=31a&%Xm4kuDTZMk`tKCdwF{p9{Lk2`S8B8U@-FBtOfIhGvEw
z!d~JruUYfRw*}4GOhw`si&*6ewOGrxAPEFbwel)yD0!-gau$oSwiTk(2=6Bww4Lwo
zWGxRay^o?}ZDmc3AE;Q#XU0>Fm5RxLn8()!l7WSil$wcuzI3~OW%Tr2CWR>15-h!_
z9rqQ{j=^M-O(7PN%dII?sd?tSnG%G!$6--SUL#2e1+NiXI0~_ye4@tvpoXkHWsd^d
z*8}D1nkE^jM8zC8>~yIiwLH{pf4mfznfAJ3&0Cw!L!2pNO}H<LI)~6N_+aB*^ChH?
zQk?*n_He?m6%r9HMTJJbJY9&X3@^=G-Z$nxssA4rK)cICWMK}J(p`3$C^}^2N(~14
z$80!%-Fk|cF31xToh*tk={93PEx8c{oO74)fX=!(+#FU*;zlorM4%e1!bj}<c*nK1
zI=0lj{8>X7`-KYDl=3<gmWP7)Bl;r}=2ic;-lr#OX#PR)dbYZHmez@dee&6%{9{S*
zyldN*j8gJUnYBDl9*6vNX@OuDh7>Z{^y1&ec#6L3mfzPO6}&w&bn#ur6DV2K|Iw{R
zw7deieG;%>mb|>KucZDMN%%%meNzr#CWf~ta_Cm%Opd`AmLK>%s(!E_93a-CrfY=$
z)P+g=+S2oc{qy(m<{}}&_tk*ofoRZ>IE0kliRcg6af^cb5BJ<aW#I~T;6v`FKYQ{s
z+=d#FvmM%(y8(G`?`9amtKd~VWj%!A&n7|bi7M2MnWalh<3LmOkspyj=%;ZoSO24g
z(9m_Z#r)-ADT**mT=IF_jb?l?Wj-kSE)V-DO8(n?D|VX`Gmt60Ak>6|6~-yH+4W@;
z_ma|-O3_=Ek-=ot|Gw~4k1=4(z=><s>ImYow$P%gn3vuDCTQ_%P<SL>JbULMgx>k$
z0zPKnlM|nm!|4`RjR-Y}`R1<8!fn1HrT~-c;?cF)?W*fhtsb*L&Lo9~jbC#xpQR~o
z0_y6wmnE7XXA&VfnnW(%roZbF7#J7G*~ODUG5)Sl%#?Q*ZFld}jYTbn!xyj3K&9!d
zqKjG7f`e*16YkNm`w}_R_qZi7;7{;fuJSaL2E>w)s-WFi-}iZ#tD25!M2X(P?F8f)
z-6uS9{e=4EY0fGpV(kf@sW@ssu2DurXJ_iP?7T2i9<mIXGQziUw*-zE#l?<(4!!J>
z7<fx+yD|M>sJ92gnE%trEFYu+FQ1ThA*&KvN{X}Znn>3N?cD(yx4N#4as1>_o_p9K
z5~H^%M}^=~qQe3@<t3Of+DNzOE3V<+myfP5e~`^GYPhJTY>opKQA`)qO+qbZkD-eV
zQD=B>Z%qi?wQ0izE%Uz)oq=w*YAyPv<>yQwJy5-|n!SrSquZSNTInwuf$^S)?`j6D
z@UR}DloRJW)0^VMz>bhtdgA1o7?;4B@k-KHf%{YRlA7#Mz#cc%J>RX(SBZcZe7`k8
zs@~qV*7+#U-E%ZJF4vYH%S=hOWSYtQia6b;(p;4P^^a)Nn*2yZ^3CK_p?&8!fjP}H
z#6q!fl*%bJ$PMrm_*WH>?M|ka2Hj@S-!7P<YqT}0F%-^Y9EGd2l*BSQ=x+s(Vfz4g
z96UB5Xi>CEf(fZX0GRNNYk@$IOH6U0_TJm25inWAyiTBz^aj<E5B*zuc{hSi;Rh%|
z(~V(TIwfgl!N_Zx>QBMx%b(-jPjk-%Y?EjQdSWc%vi3%rnV-EC4O3_!;}#?{1bo6I
z=&mn)um|HXxu@EJ*@lOF6_XA`nn(5_n(>k=rN=__)AKds<}jbK=~~_SMh1kz0WBdO
zIy#{m#ha+9MqYs$FfmcVy)0@e`y)!X8u+Y4vi_cIXcat9QeqrS+2~K%_3UW7+sIpi
zrI8JL)nX3+ZW-g6qbka@?O>ASKmT;0kyGlP>bJn(jm4VcrieqOk7Daj-1-qh4Z=x3
z_$*V3ICii2dCP-1$O#;zwdTJhjgI6Zk-bfXlq0Glz)pO^Ku5s-%fBfm&>!03{G`Gt
z<9Y2CIL*_>p+C^mDD8T;M8qZJ&$4H;(_E_g{IlvNBl6^u1M$8<ow07WsCGvo=S!%r
z9Kq1|kC1olM>WbFXoA$JgH~hIo+gVSUfZh*<k0`wDAzqM<QSLn7TM_I1{*#*P+lwm
zpP3OWb@tl{;EpFnBz%kVM3GXu=7QIJ`Eob*Bd`Dd%K7UggU?2Il<o-;jv)}QBUXCF
zJoz@WfWHf)L?<NEix_=MnD7+Yg|e!ygI9_sv_Vbdxk_kAixlOf&Us>^J@r_rs!aV4
zI`!h@t0*1i2ao|F-1bf>mR+mBaf)*;2Rn*#ijkadi8X3OR_Cfs5{Eo;kWk$9<~G^-
z&8@p$u?T?;OHJ_1_(0<A@7V0)5#C_d*g!E*dA-pp<KFmSU}=QkNU4w+BG^Qb@>A2l
z<iK);{^UEJdAe2e-vEc%(J&fe2j>iHev4ntjEcctShfnG7+d$VuSx?=^ckL1oV9Xl
zvQZPcKaClZZ?$B14E^qz*^}K4j;G9pP5i-~{Y(8qU#2=&?c{YVNo(gkViJo}xx)^g
zxq%e}(Ypv(C5~KcT;TA(DK=TM0M?tJYLmZFC$7|d=(`9C<59ESmSn*;SjZmW$In6M
z7PX$jlI+rVC{<~5@%*v>5DRkwS&{J-UKtJAfr)h9kK1r>&Pc{2*1~*n2=G=?*W*Ky
zO=UB>A6UuSnaCW9y`8gYIQ3lr%zt3FS#mc~AwtWZS~`Nfy_T0WTtWedxtre}Rm?HY
zcn17oJq(=8Ey9QTh&Z<6$jx&=#83P*smvOS?1<IK1wTC_X^c7I0}a)XS4=lVGHH}D
z`6_uDU{<fe;BL7@Is)?fV_o$$SEUjK^AOEpu9Yq|E=YNtP!^ZaVdO4=GP`OU;yE@*
z_05G^rcZG8Jz+&~yyjp*0Ql)D*nie0-{Hl_?nbpHd2Z?%Xe!RA8*R`U2~azPb-n;s
zr+ZTBX7%ymBxW)ZL&E2VzkARY(ZojUL_*lixs`?UO8tIy!c|m4a^C1Ois4^Rlxh9#
zotU-IP@<Cv-bbe4WQ?P-WnA5J4Rx6ot*;<MW(R*fa1KLtN=XBVXN$JRWm-sMd};Cz
zLX4X;>QpPgGoUl;<@U7ek1Uh=t~ONF(WfGwG4&VpPuUPqqbetFnZ#2^eF#3QDEuYb
zVGhF<ejW#p2KSR+{#Wr(>i(}X4)-1&MpovRaqCE=VYVvE@MxXnwN4V76y$L}X#R_|
zsTwPkIgf_j!JH{xR@Hb)_}~;E*$<OOJxZ(`|5Zth*9rLYb(hOK&Qcr3e`~ncCcS3q
zPcZF)Z<jC9kNbjIUE7c89D2}B&AuHw$MEIBX=e^D9<F5uag9AFZ)>`TD?w(A@t_Cx
zcw0yP3ApsYsZ>KxXbSvvpPUrnY4W;C6z=V6x%>7J?REPjn#xb}(lz(%*y)GsRer3R
z6hnKmA@8>lqQ5^QG~3z2l=OZ*DqG}v8Xxl&AhhbsM)LNvu%i?=Xz!;dJKfMgo}O3D
zoYS;zt|CjA)Huh5kq(djV0X{t{pf8JmOdpCCZHZ_D{Z~?5eNRb3OhCYJ3MamH%ttT
zl1w%d@6Fj;`$PGabuZlyQyB9Jscf(eN-etSD!;q6rk8l}d{JgQDLSuQ&QAf0^i`Rr
zfl%sk*C}oz*}4W&*>XV6QP6d|jgj|-EmqI<3Pp40-JN3l8Q#jbu<gZ~i0MmVA#n^a
zJ~-xuBR5?LS}**%xafd|RtasCZM&~Nh!p;((?kfs)!0-AnYscR{7AtpwH%=(-Ksv%
z^#TBgEa5}sT?AJ+A%!m(Q`QLC<A@XR<)|D@Ow$UuK|We!8FwGO1ILFQx`*S{Xl10t
z>X~i0`{y*$RSbApwnYJ!x#Hg^`G{4XneT(sg-YJWWBRu2(B~3WM?M=Cn0}C6^~Yu~
zCmdIARc=9NYEE4v_+f^jr(w}1kh^i)mrC9JmfyQ1u{K(ViYp?DaaGzvOO`7mWbEz)
z^17PT3-@+D`jbg}#U<C>k0)hDRnbl$D+x84$SJj$z+v2X*N<Ul+{o%T2ZjPmHCR?1
zNNY|<=P?%?UH7lKb-NF2nZ$@Se@XcMHk6d%zDub?ff+zkf2`X_?Q~}xEc`G%os}Y%
z?Hm&`frOwh=R73FdE9blL>(dkcIZDb?W*=#nuBgbWU3=7P_0JShU!c%Hk?J`r{0Q9
zT^RmfdI!eM&p&pmm?E$AT-2{c4)uk_yPq>KsrKfGW>HIjVwe6zm;P}_d!m!P!Op1!
zwigzDQ#xl;P484C1SHZ05SY>T7bL@I(-xE{D0Aw`gSA&GWxRdu*ci-z?%1QM?CjI&
zBx-f!$=OLokA35DZV54K-=<2B_&Zw2U!vKb%<6+zv>8>ulibcy7+QuwXI0Kkmp#x7
zlQn~=BK#qvHnsH5#*KqCW+Wtksdhl)G;^;^QBGgw7m$V||KLkQtWp{L5%8;f(5?Z=
z0(!V?2EOtR+(2%KV*qJVcQmK?#>gBz8Y2?XUqw14L5Vb5P)1hcly$(=J6&*yP0zVz
z6xpXIaW)fsE$$LgrE+bA;)rpFTs1@Ac9mpXqpw2<QXIW3j6I}@H5MzWovQmsCkuz|
z0Ir~qrLdb4Q3=QZIq8&{5}f@>q3yc!Ml<2|KHAC=2hB*7&m@HyavdqbqsLnN9tLSc
z8cB|@*qyi*IsipMEBjiN2CXO5+?cXZCW_58Uo$jLv5&pAVhceoyvyk3F}sJ1D5BJL
z+I7lkQcBZRowN=7p#Bd|$&ATo9dj~p5as%IN%+s4?!?3(uKB%>gvQZUIbv^h6-2S#
z_hsK&8;#bZ!$h|z|9aa@%i_9reyJPORKc#+MfwyreYZ6N-1o*U+%^1-w|~80Rie-|
zRhgB&gjh%sV#xf<A1|Ewn`1O}(xu@_wAy%fueG*pky0C93x2ArPoD^Do)v1GmxM8m
zD3<ve`U@T<=hoRDB5{fSGn(E!3WiTn1ovO%KnmqL#GRk|KZr*3&3eGjzw(t%DIfWO
z3TaUzSk$+*)_nE1Zk<|FKjAXgg=HN`e~AefMp2!4nytdO;r4%!Lt63^NF`E!{X?Zj
zu6`jyH#6F-`(?&-h_zITu-6A_AD}~H2u*MYX4UhlhW?kKYod_V^(7`Z8_^gC0vt#@
z*#;F8O{`hs_Px56=n&;(Z1+8juujL3xhvg02>%?hZCrXg4hjq`xj?R7yF(<zBY9U)
zJKKG6hB)?n=j0__J;)H1k1Niyu7_tBg1MRVNc<hJPYbxkGLSV>Yzzo}bHlpFuguB&
zTu;sRQx<C0ZKy(4v`P}&;VJXh9=Yp+mbN;2p?BXQHfR;EqzyEBN9J^!`Icp<&6k{$
z)ysXcpUbiVaeYQ_>U4he?N&_9yc3okP26W2?_ah9vr|P%x5g>A2v?{3NxkJ{mG|=0
zf+Np@3%+8Lq1a)gAGH#SH23mgM}~gFhON~1F>dg6jim0ePbqH!oTU3u$oJ!Uv&l`f
zI+>n-QPWSp$t++?O3V^9B*#o~dDdNn9?i(shMl*Dr>Ee-GrY}dY8V$xtgepZL%eI4
z1^1|1-J~?-+!uVuh1$UGP7>8xUk02Ste3i!7OAZ45Bm$Zx_~=5**2-)hdKg)#y2fb
z)0SYamHH?dX7miZH382TbR-MpwVHsh;0x{O2rBrYb}aMeuv0wB4wG=_>5zf1*S$lB
z&YrF$;Lcm7{<K`mT|E~=@6##NM?EqlTFP3J+il*ULVIHwrwsCOS^4h2zYD5gS=ZFO
zgM-Me{&*=H)4Uk@aOPKZiX>`{AFpW(vn<HEgT{_WoYsb$^5Ny#62P$0+&RDb+qoLi
z+%yd6zxd+p)NYB7_%`<kaNNm1@9k@&iy`Q$aBhuvWZQ7V%2<45&$C!>Qr;ZK@2W`B
zUW&iSS7zrs@(Y=X$zKx0iMGcqdjd7<__eU1HG_6X6T<wk;E;P9dq0gbL0*zaAISXg
z!?*+YZR<r=)-JcRUc?Zh>E8z^b1j=AzfK|dybr07G#a2Q0(KcCdV2FVP?X1e*Dq|q
z5l#UKr!A|CLTX%BABIgz?>unJBW80h+O^88d^1XZsigf6^~<nBO<^Ao-W6J=6gtu;
zBho}3xgSrL<EsXxR2Q&gsq1=sw2zrd<u|qxj*wX?3J$p89KW%D0@PfcVUXq?rsPKG
z5V;D-;+5EFl*{rzZ<?p)R5~a57C?CpiYq;v;`X=ds>ZKRIWRe)AqKiQy+@P3B0~Zv
z;jycw{SP0Qo&Qz&3NuCFu?dZIJaS&;aV{>OtRAg>nh1)9#0=abm!3R%!Uzizkm+>&
z{*bba;7w-k=#+o?u~;W;KINK>u(+{3NUuvPtE@6^P$gG$Xtti%3QUId295VlMt?5~
z>DfBkOBh}EDNAg4?#-`ru!QDVu@${sNZe*}cZjZyk-@oNM_^5tPkSL7vww;$PZ@LV
z(N7qf4CTz!K+uc8l11kd=lCK{3Ph3$6GNLeyuj5h{XY1;kdG<PFiLc~-~4}^xd#o*
z@nb5W7@*>=3oC&mY&iKRS7pIguFguIpQ<`JdxQ_K>id(7#6_paLEU^K%mtb$GR*Bo
zk>Nq#8y0RDc=+f~TE*+!uKc$~qF*SwAHlIg7k#r!_Z2Nt!q(NHk}6%*lH{uuRgK@M
zE~k@%E3ZjrC=zVL`cS81J}`*2@Oi_KZ=4L)PzcImXd}>!|3^m1JnK}<rLfQh)eh8w
zpwYfy>Ha!n^h5W{XN>WOZ%HSr?|g#(C+WI*Wmy_-8SNHsJ9nP=AC|p@omD#%lXM|7
z-juqe>eei2f;o}j%49Hj!jw~za8eI_mQVb=og0SL?O45YB#EV;R+KAh*&J|>XGERV
zU^NP;OYGCH!pi}=p}oF(VTpRE=crn{qCrFOovj1E&wt~jRuJh3LK4DrYcB+$1_~jb
zJ6gFYMvTP_#O<+JT=P1zBag0*XFtA>S(3}w?JY<Ri85Cg9oSJ3SiLn=>+Z2AO9079
zl&PT5(spKS;0ULfh2BD#PK|U#;XH{Ur{j(Fyns&4)W;0#BX~yxLjNuKmbIZnFMu%)
zl_FHG9s21SZgi)*>BJ}_dP|nzpN13KdD7CHxWk(gImjr1^Mz~#*7-qd9pH0h9cq*L
z9WtIQ;G5=CqTm-|F|6Url$Byrj;z>(!qU|DJ#_y?{6UT)7r+p?OBF!SWm{U@l8NSH
zSU4OWrT#wrIbqX?DfA)y^9T51D`TG!4}%gFS2A;R`M(o!Xj`1f%5EXA$u+oI+ch;;
z0wEQYf(gW7Gcv}>rOBfWReUlR_uzoD-JwxjiR_v`f5+Hi5#t2qdoU=5zTdQ#Gn_24
zA~Qe{6O-<KG$Zu2LXP$g=lu`(s@5)sH0AgAzU}K6!y_S*#mz;<<JN3lJQpwGav>Dr
zKb!iyqUlqk^kfX|Z9rMY54x>TcjmTzo?=m}HuO~T!h?iALzBA0UVaszUtYom=0SQc
zu)DCJTOJ(>PGHN~4}5uy#%}G(TWp3Ex4ixz{Z>DO;unrRxQH>X`Y%Y3q6y+?iBfmr
zpU97dbM}1a^!$dFk3khj-^<|llqK@#%a6<+(6EnxI#T!3=aR{KJGVqj_LvDjr7t-N
zb9>lnOSzcOV#x9S4@Nzq5yP{{B;yU+Zs&OJqR3q}__J~=yeVSPYg^b4{C1|!k<=Q^
z+XBg-9~F=>rFzr7+_zA<-g8*1z$%;&(O_W=g~3YmE+E=|0%3KT)>_}T2eQPc%@7nZ
zvTVtC<8Ny;+zS{pcq}2!HL!V`u3nSwa+t2S_uiQYMGBjzJ~ygq#z-^U9Ja`GI~seP
zW@2moFfXp;+TV2u(5x8Qh3S~WHCt}sqIj4&_f#J5<I!DcW$sF62r^}GNs??KMJJJN
z>JsTM)MaTuKe;W!K(u1>nhgoW;=HT|e`y|eJ+o6I`BhyvUouh1GS%cQ8Ac&F`m^=q
z1Cy%tv*FRKPi1n&JXO9nuL&UoPP<cBnrF~xS%hh=o{zM4c`XD%iuswRTyaLb0xeH<
zTxUVZI(gyro{J3gYGnh4ahyL;G)ua5K=+jQwxOQvATy-;q!#yBYs?cjL>A3|UonU@
zi2`b|Es~>levV$E0EFOblRL28?T;Yt7Fv}>eIuNIhTIllhScw@gL<|`Hoe0*FV(NB
zv4|ARgH|{y613}+BwS4J4|BiC(V|W0AJ=oYF*4}VwRdHmNu&%|jG*~@;%*;TbA)G1
zR*p-W=*5X+&zmpMn`~F`EbKzY<+`d+w)Q^U_cek@bJUOqwy`Y$JL49SKh0y2U_-#Z
zFqPtORMMZA@46<Y9cq#RR0s(17W8QTHiEr#9pq4x^1Gk=Kb}eZoAG|{O)glo^z^lo
zg+tAGdK9}^lylTUT-F9Y7oI|7JI6WvrY6-_EhFg0=nW~dIHbp{qPyhC1{8R3DM%SV
z3`YhDrOHR#Eb%^d_9o@P)Ec|j@lzCRUFy|fp1jp|hV~a_HzU~6q!e6Fj!%m0%-*Vw
z*d!B-aPJ5WbA~bgoeH6+2uH79U~iFhMh&2IKvs%vNa@2KY{3McAyY+dUw<%NG2AT<
zKr%`~2_K+_UMbQAmb$EEX8A5smemOv5rBdX)&XKo)S~xUW4s?=@DZ(sM!k-U%rK=8
zW>6)>k)-@!N<{2a{9%SBbP5*}>oL2`Q1|9{X_6>wT?fo|NLvsdn!^FHa>YsK3;}z3
zDCOW5&}>(5X4<13bsfVEuTQ5)@a*ZhyTMx^r7IZ}kM^g}-Ht63rl=B@sx*=@>^~!K
z7#Jg*<Gp<@Cc4LV3o}%O`NQ4rAC$)6*x6`jWydpyq;}8O?t1cE6Ro8xqO}j=s)>_a
zScp>KwCkTaH6xVH9f$hHBL~B9$^&Km!@M}Y{yHg5NM+IWInW8$8k*?jkUj{lv~y;C
z`{gTLtBQb>$Y0~9?EmH)+%<7v<6%Q0pTW{YU&Nw;02J(n4BAu_GCF)Ma{;auEkTXo
zpU@bS=wJuPF0RQW%)o=5SaoBU#1n>0@<>mTsr#geWm*#B_*K66aCP1YdR12^Q>dJ0
z`pau17Caey%98x;vly+DMLe=7syL&FyVvIPDfzlc5KRl{hS}`SNFGiN9Y>-kbOAzd
zM^tbrn!ei5$|3_bjApj83+3-4Ds*fz0khqbo<T=HZf9o<E{b?%R#f00+Mdx;{v)3f
zNf#P!Ae{}W5A&tMC~v?iWFO_Pb4yka>VzeFx7ffRk044lVVW6OyBaBlZ!Tr%Ro7Fv
zlb4Zhbj5qT)aJJ^cz$7eE%2f(yOw@D!;6cAa)p|K1v#@p_C5udz@)fYzhW%X7-g&Z
z;_)fcw`Co!o0kT;!p<72oDc)F^;`yIS*(6Hjh+&!MEi`-Y-XDlG(n81-VGhYjvXj9
zF8B3aU18VW#(rBVx$@$lBDBmmw5mA9xQU~ku}iKx<FZu}vJ7=MRaP$_VT<5TgfK;>
z@bSLHwUolf4RF9M!rBprKDSp(Z5{j><NIt#jtHwf2&f})hAeseeC&TO3(3hLS82G_
zO{|(P{t<Nr30O=ijnl-m2yqogXF+wq3u;P%Qs9R5FN*fNZ4A6)b1c@3b{-5u3(F#Y
z-B5qZUZP2Ao@X+pH>uVZp=9XowYWx>Ztg!EhBaNqNsp0V-rSth!=Il9tNaI_s^%8Q
zwm4X!;~yIrcYf0&8iHj?NVPF|8gZSf-><&Dy+wG`g~c4;KydHP$bpJ;J{7CdXJ^(E
ze*J(M&3I)HdiqW>jUgq<Z<~%D0f?XbRRLY#9EVzO716CsyLvsUnpL^~t;9PkkmC15
z^`={>DAZn&2Ylv!mjfg5F&=EUGQf6C#YRL%`1Nk6JcDlXy{TBPdG&jXj7C(@02Fd%
z>s9>{dnnJHyV<}^tj?980-Y+Oel?jMItI7`3GvJontdMonr>zD!@cvn?d$DVCW)!*
zo@7WhP*RO8;8}S+ozwLT&YuAtB)f!Y0H&o7_8>d92x^!^)SYH+bEIn_-cHm7i6Bz%
zRPO*d-IO4Kk+l52gW2ITsfh+&LZW2s`2Po4lio}}z%y;dr{ksW_Co9cPiSY89AK~Q
z?ai?fL+{88c-Z|4kB!mz3FS0oR!3AkGE7T-(f(@Zucdyl&KO_MEs&B%g(U2t!Q_vS
z+HrG^Ksya(f=WV64IMDOf<-k&(ua#&eWQk##>7*$7!fz6h(2%rsQnm={bLTA$47T3
zFFkKtNZj1-z6~2BEImwIi{d?cHoET#M6B|o21ln~2W(K-5`Ne*dN)w+=rZ=U4se~d
z1MXg+cUVB5r`Y^wl!ubQBShucc*W@o6=24H-`=RTQ<7P$`Yi!E=+rW5h#Ss=Edg7P
zz^q5x)<v|dSBKb-Xjoo);!+n>p&_Bd`}>wn^v7SQVTOA{70CH4TO;dEN4%SRhVLmx
zS}(1H6wU)hDXh2vy^n9W1}1WPDn;d~MNF`&-)c#}3XGiG+&^d_F3*?JDbB8u2g6h@
zphBte(L-?12TF^#09cX_r^|7~EeVt)#L6NM3IpqtJ43$?35lWs{Cbz8>rdqY?PR&9
z1#`zg*3O}!1X|PHxP+oM#L=s(hXKj*8=1<}{9ouc8lJysZ{-K^bV<C|<g!kD=r*mb
zH|F5Zn&irxhW@BGt>rcg^KN}`ZEbL+SWz&y8U=-}OVO}_xvtJi5Tj9+rFwtjdYthU
zoUEWYd*H1f$pU<SU3R8TwQX?*I>?Eo*H+i0|MFdsAp=FpN~oO!Atws8n3X6!Q{erS
z0j6)zOSl$K`E@IG-VJJ(A`6&$p7_*oW!9x8U~_TO1`x>5z-+LLAM^7#_`9;J_T+I>
zPE1x+zLx}+g;$rhD=LpJn>UX9K247U#%;;4i7f68LLnwaTp7*K1&6SGH-l#c$?qa3
z2<c(y(ZBn7ERcnzv%5}{xDg{@<A#2F2|d^J_HG}w!F3<nu%^ymAcesCc2PjjBg_>Q
zb2dN;7M#?~OhkE3J0;c4y~6o&Uac-s9l6N6P155aI-gN>KsdC;j5TzM4Mci`+ijvz
zm+j7Kx`}oE5&`R#cWm?S6<Hqnk9xJ0i!QwR^Us_GFw`(GuvdyQlG-J%Tjq@eKd!V5
zN?sXeUt788T#uVMavB|O6%+R!ri3|1(@J&rbiC{@pGP1Y*=2Wm879S)O;Bi{QDDDT
zt48(i179APKY?YRd*7A+BoUrPQHk=CPPmA-+t>Mcas3j-0tVn0W=_X%9CyzQVlL2;
zmQ2Y%QvoG$s81K3-MU(qt?}$6HdBOKsOjDe0~Zc#-ga0zl4_aup16<e$VW!iebRF~
z!6|`&tykl;CB7rjsI-eYP#B1mWnJ+C8Dt!lM^2C!)uiW!{GNZlDa1|c-m9cl24<Bv
zsA7I4!Ao*2+y9Tg#AVS`4`j*waRueWsw8R@RV%~INf`SCmnYMnmQNYdGtFV8GY7V+
zNGL(6RB8*b{N#?xpPsu%E04|{=StdnAm<AyDgmeGnke5yoKJXl)M}+i9e4RuH04dc
zKxq<OOm6wjrw4K-9pcRB0cJH+tq)~3CbiEUJP@R}`nwQ!j@9q6%qHR3;&C3ta6d%t
zNc%gSo|youIB+`6qfDxAWscB{An^bnF{d(31v>fZTrbx>aHOzK;v!JLq_0F&*Q6~z
zkwY03v}%1rq1`6pQv$0c7Ik7E&Jv!h0=XA~?6DxN&!=GwFL1BMn2@`kw0<Gtx?@s2
kk&Z7bYYtd{`}_a)e~Z26zhgH8Colkkr>mdKI;Vst0KnMnJ^%m!

diff --git a/06-Trees/Trees Interview Problems/tree_print.png b/06-Trees/Trees Interview Problems/tree_print.png
deleted file mode 100644
index dfbdb2b786d107a3c782f601988ae9d646fea06a..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 30513
zcmV)SK(fDyP)<h;3K|Lk000e1NJLTq006WA005;31^@s6^+(qX000+OX+uL$Nkc;*
zP;zf(X>4Tx0C)k_d1qJ@%d>aSY+iPkoYRtX&N+i5i4v8ZGfNI4ARs|OKoJ2&K}AFb
zQKBSKP{f0Xf(izLNDvhRf`al6dd~UZ_qq3ed%wK>Jlp%5s_N>RsqUVt8UQ#~yrZJR
zU<LrfBVuXxW`<N3S2rqd3eW)vFatc`_x6p6GO)F^0{?6KHi5_@?Xk>`uK!i+e`YZH
z`N#MI0NEmJAHNvia0K4~05<fEqQwG$+Cb=|39(TKM&Cm)3k@+4!7p}j;2*rYgMEHu
z4Enc>qrDLT7!CmNByVq8AOK`xgiek34Mg;ijRC+iMfe3r0Kn{mU|ruJZ$AJy%Mlsr
z@bJhTd<VheKL15e;D5p1-ah~8^!5(?7yr2zWF#`Nad1pjn0M0ei~pBhcvu|rynZ((
zq$fp$?cVVX8}eK9^ES3b{&|q!uc)x!K0{<6F8_!<4hU@rOGo(Zw)q?D2GC6H5sZw5
zY@=cgcQEqIpn#}YTgSiYX~{uGyAe!6=*RqHO#abxCdAuf$7d9T-b{<L--BRb1oy?n
zJD4CCSy9lN<RC}qzh%Dq`5XUDhv9%=Q}aJEFjH`>`OaJ{h|dK>BQ1AqK<0u~fh7n7
z{vZy}kUj#)04rbwjQ{RsKmhPYIPnNC284pQ2o6U^L?UA%5lsDC&gj2UOn;9HM8^H!
z8mYh+k&XLz&OftJkvad-84Uao{14q5nPZ2yV_l4AaOQvJ{6}I(-*0Q=8|0VdxBjsS
zEs9n|tDp_hI%r+A2B4zZ&|E+Ut&CPj8=&>jS_n@An1VNm=D>e!+|eK291vd~nWX6y
zgm8E6-RB=JaQZDB{O|RDvj7B-thBBCV*voM{)xyw0Kh0RDv1^x7!*r2Kz6RbG}S!9
zS5}&;D6gQf!~XxK?VMSEjQwK&`z(Uk9{z_GiQJ6F&KYy?KQylo0JMc5+mz`)G|@Hy
z=oJANI^i2fi~pk!z4M0wL_m+MP)@)Hgn&5moE3p8&;t6v1XutY;0RoS2eN*GkTpmH
z2_O|@fE-W&j)LQ$0#t)qa1mSq&7ci*fm>h@41-ZH4yM2~m<R8`D)<IAAqc`jWQZB!
zg!my5ND5Mf)FEBS1hRtcAy>!?3WOq{I4Bi52o*pjPz7`rs)w#Y9ndXk2zmrPhi0H9
z=ri;KM!_VQ1?GiCVL4bGHh?W*M|d9`2uH)oa28w$m%}yiWw;f-1rNjH@HG4mUPA#C
z9f}PlfRaI}ql{2CC^u99iiS!<<)g|_HK?noPSjo0W7ITi1@#?`MKhzRXc=Uk?n3WD
z`=X=KY3Re~3iL&EEBX%lF?t5QivEQmV|Xx97)^{h#sw3INx<Y_$}kr&Etmn!IA$L6
z4U5IHVa2d&*j-pxYzQ_5dl-8P+lcMMKElpn*Kjx-Cr%2dgR{YT<6?0+xRbccxL({C
zZXUORr^EB(74fEcH+%#>6JLhEgzv$R;TQ0m1O|c#L6cxZ@FOG<iU{WjorH&kdBP@<
zktjygAvzL6h#ACk;#J}R@dfb<9UYw@od%s9T`*lbT{&G7-95S)y6+?=k|fE9w3ie|
zDkRmB`bf`7U&v&#C|RHEMvf&HlIzL0$*;&86lRJn#hl_tIY6nTv{J?>ALt46BJ>9I
z9`wodW%SqSAJVTd5Ew)mj2OHb(ikckIvAcZtT8e(DlpnGhBF>!yu>)fxX6TK5@j-B
z@?*+ks%5&(G{=l$7GgGH_GLcEe2#g5d7cH!BF19Q62elza)o7tWtEkQRhiX^HIcQF
zwVQRC4aFwPX3iGIR>aoKHo^9TotNE!-Jd;={VMwy`#J|VhdzftM?Oa*$2i9iPAaDf
zXDDYeXB+2BE;N@UmmOCE*J-W+t`%+;ZY^$K?tJcM?nxe)N0P^$Cxxe$=K;?eFCVWN
zZxruI-rKw@d~AIBd?9?t_<H!3_?h{2`Gfh7@%QpCQ(377)G%r}^$vAafJb1LK%Br?
zff0dCK{3HSf|-Jif-i-LLh3>RLdS&qg;s_6g{_5Cg&Tw?MF=A5B0(Z2MDB{Li;9Ul
ziyjhf6I~SJ5HlA`7HbfDAx;+86OR_J5q~0ql~9)ml{h6aDhW%fNCrt(N<Nf=rBtPY
zrA|pblEz4DNJmK5NI#V!$r#AQ%QVQ$$g;^=$!5y7$$pR%mUELUmb)wWOI}4jO#Ynw
zlme52g+iu6r^07NNkw19O2sEiWF=Fj14`{mpOmGP{gqEEKT}~=u~s>x(y#JURZW$q
zdR28vO<2uKtxD~wI*Yok`eF5Z8W;^jjRP888s9ZlHDfiKH9u;}XoYHB(puCO)ArXs
zr#+`5sN=13R%cq5s_UhDMt53IK+jvRMsHSMNZ(KYg8qVmgh7bGWrGif@`g0S7Q=NT
zO{4urea0wbGvj>Y5fdhpJth?<uS^9^15F!DSItz+Qq1~xVRl*WD&F<foY&mfyxx4(
zLd{~o#T`qMrGsUK<*b#Y70s&C8n(8uF13EKTV!{{?lv1>V{TJw^U_w#Hrn>49oEj)
zuF~$Uy@GwJ{apuU2TzAf4&NLN9g7^N_K5F^+tcqv@3hyc-f7+0*tx`c+C|P~zss;I
zmus+VyBp5U$?byMn!AbnargPXDtmMGPV5ugm$+}pgUch#quZ0-)7$g97skuk>yp=&
zw~cp=_nMEnPnFNAuaWNw-*<lce#iWl{B`_G{1*ar0!jiF19bvR1DAsIg35wcf{lVJ
zf<J}q3aJiR548!c3*8QL4r>g@hkJ#0L@-5!M%;<yi%g7s6eSgv6Ez*J8GSr@m1ar1
z5Cg^Ri)oK#L4v~vapG~=aWnC{@s;r#2~G*u6B!dD5+5W<Cgmk9B%3CmPeG^nru3%@
zq-Lbf>^IndHVsPiN$Wo#bRg@%e7afs#SCIbXvSZe@|h)>Uk^GT?9AfLO3#|hHp_0v
zq2$nVo*vRVRGo{?4bC0OQ_4G;_bcBo|9*jdL0Q4pVc)~|k0=}|KeAmIP&iVgT6Fp-
z_GrY>iDJFtizSRD$t828)}^h-sK@e;eLe1Ze5g#htoj7;MBIt#a;x(8lfoyDp4_Sk
zsu-^{tZb~}smiNbKjn97?6m&rtJS>K1=T;!1fO|!*6eI+jc83-Ew(nk_U$>Rb9c|H
zpRd2bb)n$G&$@`Z>5KLk@6@Z+*I(kfRMY@B#5F8k-g|lUit&~9t1?&5HnKGqG=ZkL
zrsZp1*Cv`RoBOY;U%z@o<VIBsb4z|J)SA?~+7{F{-R|1{sKcV8zf-HT<)-Y-x-NmP
z%5K)~q8?&TR?l{Ca_?GSRNu<2z*}?up8Zp|U2Z?QV|Qm{z;fW;py}Z4y9RfA@9Es@
z8qyr<xUYV{ZCG`<^?}NRmcLZ~Y8g=-X?>{nuzgfxwDXbnqn<Inv0IOg9}hk;e=<D2
zd;HPFo{48q_dcC|=J#yzdD!z$lkt<AQ|T`-FY;e9yexag^Qz{x#Ouas)#>gT<CzDu
z4zp8pzH{&1#Jt&>&w5LKTeiTzP`{|S*tKN3G`j4*JpV50-R4Tpd&c)wAH+Z0_^AK!
z!K%yZ{3qI{?azn5aDJ)#s{FNo&35h8xA1S9>-ig;8yCN;f4}>~`NzU$!WM3;{HMgv
z&R>?lUTlYNZ%294ynn|6D5Qr20s#12hvX2hNbWES0Fm-1r}!;_q$?02gJ2vIDOey8
zz#Jrrytn&cPB<2xM46**qs`DyFyUB6Y(Fj)uS>uYUJ^U#sz^oTI?4+M21ZM!Jmw)*
zMz+1|mpRc~-rU{1RKCOf8v=fUlft`2hQ#E=3nku3nM+s8e3LVhKcX<IL{>IbiBYXm
z>r<cB_^HLNEv2KOYoceb?`sfam}PXrxWS~?^s(8}u5AleOKB@3Yxmv3Hu1LEb|v=J
z4h@cN$gUrD9&>r_`r2*IeR1#meTyD1JV(5Gy&HW_`yTO2_74cK3)Bh{4yFWu3wa$n
z7*-#CBqA!(AxbTpD|(CeDyA>CHZD6pAi+FQDv6l1octiADYblmR$9V==yX~}a%TR)
zvsvBQuMZJ&wezC#YYQfh5DT@7!jGOV9x3^GO!~NcS^kOE^63h?N|h?lQ+cPGtEbMQ
zYh-Gj&K)>^@xr6Jje6=OtA^Ce%~w7(YBm*J`*_{`#=};dwkI9hov}CTyI%Cr^(yr_
z-HPtdzFmB$Y@lqg_-^jKgF}bz9~nOKAp5V_5$A`p4>w2q9;J+_j(vOl^hw8f#l-%n
zp3e-Qi%b$G-%mYy(ekq5)&AFB)5bFrvkbG}=ia`Vm>+t3YvJZ%$5O}g`FDjY@$Wr8
zn0%C4WmsMNH2Jyb%h|8lYeC;E*X1^tH`c$u_|dmnvz7JJ|CjN$;Py7+e=OiaqQgWm
zfJAgw&{60$tc1i~Ur?T?2_$NIiHX8eux&VhJQseFP(=)+GbHJd9VtQd=?rHWZ!s;g
zu(BGnC9yYheB_elrtx&~(eXP`F9~c583<>H^onkYt4V}No{}1t{w&KXrzF2i!Cf&>
zDOx#6Wxr~&T8O&4hLxs{mb|v04y!I+_lMql{TYLC!}~@(#@9{iOv}x3cO{qyS-4v6
zvQoDe+s$f&w)tv1Yxl^$&!Nfj^qyR&7-tU`b5|udUU#hf2jryh_NevD_lop(^ilRD
z`Of-v_!k8P1ZoE{2E7fw8B!eTAEp^jA3hh+7MUC68ZCvai;<W!v9vg&c-HuZgpS0+
zNgm1aDR9cu)W-b<Y2gR<q#I{wW@;SN$=a3ek`r<0Q11D>+xasEzmD(}Y7{vgjVV4_
za=CQq*xNGr1W&o@NxO>h%7UuPr$$eIJ0p13w&q}M$GJ}zWb2|Y-l$)1(72p>rKb@z
z8C*NqJa7ZkV%D15cDDo9X>v2OtGoMauV|mct(5-Lw{PAVA6Ob(zlR=TzArE=_dw?_
zs}Z+{L8A$ea>kB7u6fcp-Ze4wbmH0k^RH8=7c4JDUa7yfnhu<)on3k(Ht+T}XW`P~
z-KCl3jTOp!kq>$w-B;5;jeb%3TDtaS-G1Z7501_3t&Lv^zx|H}j6f3X2I-&=iR(3?
zSf~w#VQcsdyovHa-A8MqTQTaGeylBa4wr)G#@{6zA^Os3lekI0$g`AT`WA-sjO9#)
z%(*PttT}82?4=yloDE#<+}%9gyghuq{5{m00xg0KLZ^faMB+sEis_3BN&tx|$u_A1
zX(t(~%(85YT)Moa0-M5&VuMngvYrY-<+181wIFq6^$m?4&1@}8Z6@tWof_Q`Jw?4O
z{Xv6b!+l1QM(f76O^Qt2&BV+;@9Htnw{Wr)uzY9LYMs8@%7)Em#<syO#$L+-cDV0Y
zvd7Jd>a^f|)g{hV%MErLaxdEJu#auubB{{TeO|m?FTGFs?DOUEo%AdBcM4z*co<j^
zWD*RJ^%5Vd5V{gp7w!|m6Y(^%G-`J=KKd3dIYudFCH8!rM?8D{!-PYLdWjoJP07J2
z)RgC`$M!p>ai+~5Xiq<uk(3#5aBr4twtJ5Mp}5@ayt4cY1+9k%kBk@27kw>8l`xkI
z9+N+=S!Q&?qTKGJYlTl`WYvLFrKc}f51;v1BT}1mZuEj!UE0NoOEL{vm#3~OH0CzF
zYF52oaN~8WQrn^S7oAEs^Sfqyw0q0@zV$oaZW$08Ja<oKXka+>FX54u(Ys^Up43k?
zJ-ape@+EjJKU4Q6XCZ&N?F0R%+%=AkmM!NU|Np5i?YtAPssNmy1HkDl0Cw&G)JXv#
zQi+sJka~wL830EO02>wo==n(inO*(&{Xqs|NR}S}4k4N25O@bsAO&a-lnkAMx}Yg&
z3(4>FU>`UKz63vnzoNKN2B;v^QB((N7EOoL54@0!tR4LZ!-UbpL}1Qh#<4`K0X7la
zj9tNr;{tJYxFx(SJ`UeYpd+{uE)yZ53$dAwLKi_dMp7r8A>+w3@+*o3rGs9azJh_w
zkioFd7>VR7zD%!~eV7+m!dbqtX0TD%PO;0e-{x@VSmP|_Qs8>boxsD(Gs=62&yXMR
z-=by<SPOCrE(+ZgE*1$9H5C&PCyB2~%u0?)-I4B;xh~rz*C^kt(5~30G_3qe<&zp(
zomE3fQ$|ZcTV6*}m#W9459@z4m@@1&sxi(ri8OUFGu$O-&SybyiL%_VTD4x@J#RB>
zJ7f38{++`Y$Dd9FXLc7cR}D97ci+7!`;L1wA@8yGJ``UiKUe<)0kwexL36=BLz%(^
z!X+bQBW0o_q6KMeF@%^Ou}kq>3D${ONxjLxQcd=kroBtI&bWC{IjbYb{Loz9p#p)!
zR}1xvri+V9U5@LVFh7}4IdGc$45bFH{eJ#)-G};>hLtNH8`rM=yn%1!ZkOvc?sDx3
z?u+kFyOTb+|6ct4um@fv1*7d_%i{u1_dTzkdizRYI%9TxUTPtCX<^0e!=+CQUsBfI
zZv^~U_!;&4{GbQ2zz(TKRe)ab2BJf%0q#&1lJO5iACc@{6ZV30;U@Sw3WenCuBdF(
zHPmY~897x#(Us`Gko;Q#<A<q2{7#Rx!scP`;fOeETnTOxFM_Ax`w47>Fv1{Fh?q&7
zr?a5zBuSB~$*knV6f7l^9?)knpcrx)DU2tW1eqF{^_j<6!dbDbHEafKv+Ow>G8_|}
z8C>#Q)7+&zyLi#O{d@=cO{pa6gg}j8jF71?pYVprglL=C8SxVm#gc_mh0-N56|xuP
zTIBC3yi#0OW>wKt^;IiW@7DOJC8F)AQ>i<p&u8Fg*l4tAVq#igHf)ZuP_y*0%CWw%
z`<Bh5?W#T6fz45JkG_+ubBs%o>s7ZA_fPxSJajw*yo$Yhd_MRI`MU%Z1r7%N3{egZ
z4m%zGC=!lRjP{}x#@viujHgdfOY}-ANN!JA*w3D3eqeukbH?&Pp{#w`6*<px+4EfU
zPZzv7B2$=HG+4}05?T7-xO`b<Ipt(tC8_H8X|d|NXM<}==bA6LT}0P6HF#cOxO%%O
zv03i=VoP0HaEDCi=dRA4%s#7r_S<s<O?Oj=EQUEBjE?MiIQJ;|G2fGsiGpVilcF!6
zm$R=2XBy^;=4lHKOWe!VD`M}jebikY`Rw`S<68PU{l>{3e4EujxqcP>_CGr?08vQg
z=poofd>;Uvga)85upn%Y)NtD16{J?<g6#JpGzzI9CZpTXYZw(wJf<6q!P;OevCB9u
z+)>;j-WY$5fG0!|UJ$K_eROJwrwvID$gbpNN*X;YeG`KX!zacvCS9f_=2I*VtYp^v
zY<cWf984UOoaeb{+y*?%Jnwi1`Ofj@P(uYA1r3B0g~depMY+Ye#HkWek{VK$(%v$u
zvK4aO@^2I=O4`aam8+^B)m1byG{>~Xb+UBd>RTDK8A%zRGZiqaHJ7kxu`;%PW)o#c
zvTt&9NA_#CYrMPi-VKjFuOmJleyRbaz~{jgq2^&r5lN9-(Xq7oSlhVk35<!fq$eqw
zsb|yZ4kV^8WV#%DkZqXLnX8=FTA*`ysL-|OU2$3|<FT4Dxf2~Hbt`(Sv`@8GW6oHe
zJzn$roaFh03j-Hf>jN%zUZz~}yV}*ndM&DX_=Y%=`Mhtp>u9^l*Ok-#q1U<ZR=?Ek
z<9D_PL+(Bq(!byEfbFlCk^7_EkAlW7KVBXens9!a`RwBJ`;+riTQ3=2@xPXuR+-V9
z)t%FSqd%|vR&zmZQDI4PS@0d@-O@_O`-BfFA67n|Uv>RN{M7Y1;0wc-_OE-_z*@~W
z!*8?e2R3*%I==7uzWU?vrr2ixmdDn{&(dFVzlOH`cKja`poG*Rkp__rk@DlK?d>n3
zNK#P(z|Z3C?ai9)?Vq(svVnX9=?nYwy<$fgi`3k!5c>bz{tt83enH}uQeprA010qN
zS#tmY3ljhU3ljkVnw%H_03ZNKL_t(|0qwnqlblI*C-%zw>T2JOMmNmB41nDkj5oVG
zyG!!OC67Fjchu>~prn&7bQd})Li%46p<o;t(#4U-<C0u+TrJmdy%~c6b_SRMFu=f@
z_O86I((m{3%c`%cs~g=w1Lzra0@a^O_g?<;<xBU{(}a^<x66S~2?xBN5;}It*yVt7
zU>DH4K=@Q~!2hYD<}ne|t+aVOCL`VN1@E0tk1400{$xG7I`q~HnLxFm-Fj#fVmsov
z-?Tr?;dTMNh0^T>!eY59Hy5(9m@Y}aP?2(_CY5?a8t@$Sc_rxgNi-UiR6Hb8!*Ll%
zL^@LJ6=#Qs-G?o4U>DGvWETg6JdRi<h_BCO<jmD&nOiMOw&9n$Cn$bj5CHZ|03h~4
zxv13ZQmxgbTCa#SsuGo|48(l$*?oO-VzOWQ;$cmlpx#wSHdzq&@U{!+doaksn)=F>
zDsuk%qWt*MimVhpl1lc;U@|H3a8P_+4}M<3e*yGOtO(r1zeb}e^+rQV)w(QYa<Y<H
z1;9)4`GX00{?Lew_Q%x!uC%^KVQk{_E}%DHQX61RIe%kGzIS$3Zs+}SaCBG(`x21I
z9--u>KfNL@RsemW@tR&B;Z5ld%<Gl@GlimDpIsEG<>a@H_sh#qk4YpL(4Y^hpKH=j
z=$~CcuT$_=#VA#(^1U;+<cA;UWomRxCI(Xq$~x2u1uw%Bfe!j@IQ>W@w>-6OG({uL
zJ+hL`%cZ+Ba;UE^fB5<VmDa5|)aUM>t#Du$&^@?i0kxbh%2$7WT`sSBq4(~UNGK!<
zWPq0vw-cf!B7<Rmv1sPChhqhR^Z9(J3k|t4GcT3Gvi$2WOv&NB19;cg*?WZEeYFk;
zb^+bR7)Q{`LOL)1@kiHWsTP+L`^Ht$)*E#Na#xV9M*`hw(d)z7g50Pp6!7dw-dR|Y
z>4h2jU*4FM6Z?mDLEXjK%{=Y`+QlUc<`qch|My2%WWExY<5OeWq2n-|$9DEwVGLvq
zfGtRkmcb|c-d<b5oNw-D-gAUxZY3jk=I+YB|FtPOvUhM7)ZI+F$MY_r9R^uxTB%m$
zFMs^8oL>&eXZKG?4P(lW%2CY-2K+L;xGI_Sto$EeIV58PiCs`{p#XN*ayZOVi3(lz
zC+F_S>Dh)ny>|>_$PGwm4!dELjaQ(4%RdcohVC?uUhz17*g}*rF*7#MC!SzRzV_Bl
z$rsC;P;<6W;-7M_yMRUkQ!>)soK4HOKU|d~d!RFWysB#OO9RRS<#Y>>3P8*T0_pes
zX?UZCXdHY-dL7~T%pa8$Tr0J@>>nMH^GhP9F3lo@d5@c2cMlHi0vZhBh()nfmLHs(
zkytDxv2aLd_^A6fAhi{2yehDHwf6>uEubQ<HTO>Vx;q{Rye2*y2h%d)ISJE5ld&J;
z-9PwfS?(@m%&3Z~clRjLC;RggzuFGiLRYUL*JoDb{h6v9o*GvPX*z)pI6Uw~F!5@g
zKD!^BdzTk|qkTo^B@<I;uXxb!&TA&(eBy{oG7^zn3sE_HbzaA(ImFi$zy{pCIvm)Q
z&_EE^Tm16UlEmXl%>MbLMhOXEQDPEbZOMsyh+zHkyS>*dBrLB8VI;b9b^CGR)cEYZ
zJ1p<*dt{)7hrO7{`RUc1ET?mj(#TJ%QtV>57YCkb2@UKJA#!&yE7zARk{TGn#0k_1
z0Lf#eaRVr#6s2bZieaoHxD3jiD-eliGsO*0_)PVI?+8S@xXA|Zyuz~uE8~RY2um~^
zmOG6gCSKB*ZjX!C_e2+2C(C*~J<$@nN#H`JUcR#`=|)Jx7&24o3`VsirIomP1=v*=
zcCPlF<A-49v`V2;m-&2MmdkaiYh0AujMGZ*u6V3|O+PJv#t$n(JQ|ZTH#1n8idB0W
z6E3^1CkLMB>Q1nfFz!6FT#!&O0R|Cpgp`qxZH^I+U5>pr>rHPF7PVldCUSHvB!^Qz
z$>yqZezq!QN^Qj5BNkVrJ-({MuB()uU0sn}p(J5Uze7xG!{7?Md+TuEi3K#V;)PnV
zm@dejEIMFV0$RsAN@kUUyb`eVs8{D17vu0={o*sOWdsfeee#<}<MP}@NMhh@F<X{f
zcgvE)LjM5bX*#NejX|#(zpWV^Uo>sjuP|m1(@n43TFl8{DuL{<VO=LoR}@d$;}Z*L
z1KOsfG0nYL66p_nq=tzUmCytpfd<e}u9_)t^Q<^>Zs~`5aTU7m*l<{W`*=e3#@kw4
zsfvyr{IGM!x9tucBA|qCIYwxlNzXpv3UBmTk$}vvme2}dJ&D)9E1_L1a^F6&fF`(_
z07t%5m3-AJgPcf#I8+?#AF_$?GO#vGBM{9Uue_xykuQt9a44o=UYIXRDdd;QzJP*G
zXBy#$ii{1~imU6Lg*g3MhqVc4Nj%WSeX^RbNF9?dULSpM2yfSQbKnUEv>Ab@V5+$W
zSW+kxd~^oJZB|*J8R^`5QV)by0NA=ZU63kf_I`FgFGrq989)P!tzkUqCAOY0m9-0<
zEa2U+XA1$pOcHu?sZz!$OilbYBD~&pog8>_0ZpliAvKOctM1HaH<k>P@YkhssG2|s
zTU7+N2ovyo<b8}4pTdv^v=(^|&(?7yrQv1V?rLJf(+_>RzbJrhU`7t-h5k%eg>*LS
zu@MIGZ9EL9L7uojPb{EW(oF!GIx_*K>ohtfAEDL;Fa5V+Xn<z^;yuCzF!&q^h@=bH
zKWINN4aCoi!kFyqHr&no_7|pNpR6y&ha5UTRzmATJ@5YM;J}j&Xn=%LjzFygg#?@d
zorRtOahqfG;{c6boLgQrEdEr9W<Jm%e&UZ1?1Z67OZ~Y1v?0uw8l&^oY_i2*i2=4N
z%<gR`2cB#|gBN~C)&RO(RqPS;V9Pczs5k`_@zp@JQ{Of36_OUX%2W6S;ItFSNZ{y)
zlD~#4yKvTfZ#XkVXG(mdp;$4XJBM7VjQO_vx0?e`ETD}v^hh}9mAH?9Zb$&qnz}BX
zfmR!shH-p0AUDtMzm7C^!rL#ZI}?z2VFB&FGx1s9gnFkh<^xI#Dnt$D5|FmGDAxb(
zwVMM^ET9b|Jdz0eWgt+OIoQnbV_zQuND#S!)d@fgxGrEjKr@iEei)K)WPDIN>}yk-
zoU*{nu1e4<B*e)W&=-^d4Al(5FpUSpi=CCA<$L!A9C%^@ts?{gM>67<Az0_Snyx?s
z(k@0Plsm!f#*9U$c~`3ex)_?vRLn#Q-*SYbP;OwR5K<O63=oTSok7jJ9)Fn^A3$BI
z)+B<l=b^YChHT8V_wEQs4~F5@6Afq|dRcydKt_{331B@(wFYFXPz2&Sq-byE@h!cv
zBY0>$B1Z=TQUQREq%hn87sjy1mro=G3qNIfxhQWf)FcR<eUo@r;5XpEQYp%jL<8zk
z5W~>`G|e;Zx}F?(VgXHVcmWJwARto!V)AAItK@1D4Z=<x)s7bGOtasUdyE60GngrS
z5!R1h9}aeSi@-qR=TBlW5!}M91^NEniu6NgXVk6eaif}r`fC5-cc$DxXSG}|$>IGz
zEKGvQF#wt~hr6yf2cB3!v&kl)DWUtJn;uLR<n&5jLV=`CxU>M*#kX!Kak(@wDrYaJ
zrGcH|9;g}JVST6_({m*W!5`OkxZtd@uctzLp%N9#Wtj+7(2B&c_{m7<t}N|7x;XH}
z0-8J^paYQ5;c!Hbjrio;64qf<BbfQ~t1jK<laZIyY2A+C<|_zwdFSI*`St~X85M;S
zEh=7dVF<2??gQ$F@oO!9vJt^A{j@5I>xPpuxpG0iG|`Y0%<%dHAvFlOt3O-jt-U_c
zfF>~f0B;C@9_@?BGyQ3KYo#EmSiCiSXIMs*Vc@N+skZ><TuKaJO&aZDEteS@esuQ=
zp$njPJAztatv6hdB$9=6-WM#$fuWE@u)i<}V~(tZyKa3B>;hT=9hO8qCMU-7auw!o
zm&*a@(jfzCD{aX`-ml|0+=sRO>ZJ?!T_F$$qiIQE_h)`HvzN3j-KgZ{`KhK1^~F%>
zqS~75N@q8}*4{ty)twSA1l=?OsXUU3$;%@(@l>+d`HlHK;ER&g{4gxXdk9x^#WQZY
zf0Wt;w_O`zuf||a*ZUsfHEyJnE9K?6R8bCMopm&xfLat%>AVZ*wIFuCd7>q>WdzlZ
zXf!JEL{bio6l4*$o8MmcK`LTf7Q`(VF&UA%R#mWZbY6RkUzZmkw!_gs-<b`zMd-~>
zg|hPOm`D0xP(2oNI)uCGMhDk=Jv{M%ro^L^<_JO}k&tq!BqztqQmE$Sy_^Tqo7VLK
zYU;fk>Jn~{+ItIBQynPr*E)0}oiRd=P#3FZ8TV%7_3^rl3=BvDfDU8lH;3zXrSn?u
zb-#Jy0ZoPwD3sFdc=e@HQpLvE7i){sn9j<%EIMfZDApuntOAH^dNFCzLjd=91$egB
z=BfO(%r~;Q{X|~`d!<&AsX$gfKVFgXp%n5m09zq(?F{aM+45`S>n@-j{tz&f(gaYA
z3+b^v>!rq$ggvmRv`X^<I70=0%l-(axVgOw5Vj}=7*%+8B2__Zy%@iIGM@OCj^VhH
z&Q~wW@d)&0=<s`olalHmlq95c2)n$^bayKz6L9x$PY&z?+F=U;svSfCD49&4QwJ3T
zQh9H2SuUrmQfvmLig&egQJMkxg~1mCPy8jIZ9KTQVC9YbzV+m&80<hc>s3ieUSi&w
z9PO{kzLBIP`iCTy>eCiuSJmi=+jU>=0@}qIf|>xL&f1^C>>g$g-<~T<rs0#gw<?j^
zg3OkKQo?C$zF-u7F)j>n5}#aAXGF4dMZ5%a3+O7s=?_0tj3%UVuvw9V;hg%LDTd|L
zf?q~QV{%|1B@uK|sRr$iJG%;K6Sup7?!hD;4{<9~k#C;O$SrgX`$Kg(;GLEJ$RZXA
zC1erG$4yvAD#O}Rp@HoI9!hI78Nx{uRY#n732OdmkqPsJ5=F&`HmkBXQjr7EybOlx
zvRH}80<@Z$yhr}_Y*qr{xV#FJ2m~{AYo{*s$m#B@ZVv2P@ON>9DgeQAb1p4^_QR`k
z9@2R<=9TCB3o`1@sG1RgxiBtXDq@-F0;Kg!At33hPs-T$QmA{S)b!yy;Ei~^0Cxx*
zWMkMs5Ny^Yf$K;V2F)X7=?mk8Su9uesjWKL*UNh4)LZ~YZ?Mq-%K9I@v`2pJ*$Maw
z>bUmqf+SZ#ZE(8_Xooo#%(npM|L}vW^5J|z#$o=5!)FKko2mkYLSZu+0doT764rg-
zSHbjj5e8*)H6N}XNNw8p;HU-HGII?y!Uh@=_d`147le);f=UyKMD<6tf}<*hd`4z6
zbvZNRlS?bGh>A|>KRq!dzyIn!9H$)B_}r3zgED=hKkcd<DE@9RpNFxSaV)0)+@7W!
z8TO--m_jElr6UeRO9e&~3&o-oF#%&iU8_}fw1Sq67#|%0=<#5=C-icz>I+~xo%(qg
z!-G-$cu%#0@ue}s;`6Nn^c9I=C%^~Ge)-l1i!u+@=TE+HK=z`uNXMA1Ual{8|8#KR
zi3hYB%&KMp%wut%17@$J`ue4RU=YK3F<nbR?$I^|XYUBa3J&Jvl~R^QU}%n)aq=J4
z1Ok?71y}WPaS?|G&AnOMOwiXb&CYiOz1O=eulkD;4|(LhdB403tE0>LOY%Ryv0skw
z8$<=!)vG%Y-1YE8s~jyb&u8S%esD!ToGZu})QrzfP%?X^4`3bum=lS(0*)gfbPUIl
z3i~6#`P0!0zQ=d!;*_NXv;j3FwSwDRjr2CMmhlnPMM(X0IwNUX8qH<pGAuEjp7TM!
zuE}uJCx7z#l)QFq48Z4MolIj_R+Gza_rwBvEtnyhW01@Q^ANzCvS6lUHqzA1ID5}{
z_@lG;_Spi?g4g|Q!`myvuu_yT^`6OOWOZdlve~rUNsGKa<CPofy6WS9`24v1_KTA^
z)i$^bYRf#=^@&tD2p$TzTP?}#QZrg$#yX0`#$YBNEm&PVy{}uwW5>YlJtuFdS4RRh
zIW_H-k5`-W7pG=qF;|g)@!CEaOtQ1cJlt23pUOZ_9H8A`{_`KU)r{B2-ICd?q1Z?=
zKMXWjAluF&0Z#S8>s^&E_)6MYJip|VZ=YY3rEE$5=<^3<|5#E%P4#9M*x&*R*tC}q
zql9)?oEFTtA({UJbmk9cp))(98AquztD0dK1g)=TJZ!R<PwL~;s|$sKtfteFfnJ@?
z=H$YnPtMGHaO6czjtqw7k3YXpo;x^%lHBbqvRs}RK)b=r4&VovG@;J?I)>(U5}4hU
z#e%xT&SEADy?R-4`J7x^!5&8F)zj!KCNV+tC$CP(8=u{S6TG+=5{3E%s~}H=%Ham{
zpJN8_93(TxnRhan32csva5#^uh#AZFi4PMohp}Ed>aWXN(>}SKY097e?3OHNE81C%
zMM6(>XYo@H=oXl98tb1yXFfM$)Qp`DW-F-)X3i!msGVUy>efE!)gfOM=aT#6@`_jf
z;@ufp%9V9yakM}F#De-$4d@Oq?_izTf_J^EyR&HTDXG1_75SXMBncc=bQUZ1{^8=X
z%wcBnkH4^A4(;jZIN}qhe|)NRXzkrPU0i}00!?m1GE>cX4@X9fa|RHj8AnGj1Gqyv
zfa`&Hz4z3sIV;IYnAO!ZCSjH(lP}0e3m$oA&LfLBA8`_<$o^-5`sATuM8kD}{A(2J
zPrH8oi3YR<@Op(byPTCj{r<;LGx9Q(^vkR003IIlNum#HGx{;kjNK^#OhxlJ<WG__
zoyEF>I+MlBA|_!9g`C{LqNZPAy8KQW1{HwcfBVLiyz$K5bxHd)3h+;?%3;(Al$xtY
zzmhA-+$tm&u2rnDICW)N&fLjJU&sgRoyIIdUgENcQ`&tv*BfBA5qy#gmug24%UA>c
zI5zRZP!8^I-o@!y)j5e`C7{2Vz%g(^`SYJ%!Qr1d>B9t3EE<yjL|FFpV+T3cr;>7q
zcb_EMHRBun`NT=+7LY*{@0T(K`QYY?T${<sQUS-b!JulbfqIHX_kFPa9LB^%4O7Y$
zHq+G#Y|oXX51;qIhVID&gK}`R4<iZfH5vrVPIcYDTgig<8%uHlznLX2Vk%0#kcR<E
ztm2C%VIDXnH7_ix!h{%9ZV7p6lEM<!kyJ=dO!dj(Jt<f;HI`BtH-*E_rG9gz@`(bp
zEl@80xr51(pMNwjAKoouheuSB@uc))1zZ>%BtJ(3U`vZ-#4zTH$qGDhHC(n>!7x__
zYml>&3OD4-PY=p5tYnKvjP+2P&gNM7XneWzG_#bGw=d7*{O=t0f`ug+OJF>jh9WCc
z!n*2m5!<>zbS%*)$-V*Q51~p!k+~9S&q=<3p+B@*ZyZU<GY5tx1%s7zZh`S=DBIpt
zJ`sQ>Ag$zBz){9OK6_Vwd9x(LP#yLR^-B!9I_!6XR{t@O<182`eJOzL?vEOb(k)_j
z+l~1p>>{bkZ$C3C#}5ptk#QTw#__nWZram0;qzx7+?AhP$w@qxl*wVN1dITP*wjc1
zO|=@9vtko3Hy_XpFV|lO!&r}kt6BAj@oc9B;vq>ZP)BaeEn$OhQNHroA$ji5C=5?>
zB_E=+41HXL-)Fiz9?)*)p8j}NzIkR&Ji$JBYJ3<g&O&C{CW*Hmooh?dSVZu>!k$;-
zSZEy6rKSDZ<yE;hH!rVE1?6{N+9yfqoUJ%)fJc0_Br(|wx0d9ar|#m+@2DIZAC-6%
z<`kTzs>~-zBdB>gZXHwRns>BRI)+WF|6R26(U13Zi|MR<e0Nq(jEMZftNS4+KDj$&
zb~K<ZplVPP{^8vl@{gCYa(H4dbikxq@}xD-jdfl(h$(XHvzDXz<DiBk9cAd*AKjUe
zK5t(Bhc6zGiJ`<}1GO8>KR$a~zHxR*rbfn*r+%%wTx!}&j4HU<Mj4E&pLKcUcp~lW
zXIz<?lUi{_{`DLCz~_OskZ`eUr{C^aK-&T><9v~?|MHsr;&xS@Ke$gjF=W1R04e`l
zobuYkb-yOGyB*aO-C=@bDy~j1NHMo4|Mu7R%Ym`fBL}smof7yvr*F!)E@tGp1N&9I
z;Avg0in$5eNvE6s^=K#P{h<BM;)=}7&&t1fV?sW&fB2Ep&ip=z+mV2_1<JDnzxInO
z^0Qm8VsvO90EZ2zXj0deI31i|(V3#$s6gG{)H{MvkGwgD35)cc{O|wdpiGYRJ^F$L
z6TWl$hJ5YAth{n~KZfQ4Dn%)kdx5fpbeDSJrms7k`<sTx3l8bcVf_B)>>c@EzdR|&
zriLCp?VZGI>1js-niSADA`A3e7Yp*@Q~MRf_f|2sMEkm)S)oEG*z4#pc}t7(zx~z`
zj9Wh%z0#;zBES6buKdO6MLBu!Knu*9tH|q;wW$wGpJUv!%Nbc%yet3bZ#{(#x{skk
zZz{KIJ?%LA&;%3Rxoh+Co%3n=%p_;JJbG|D_L-QD5B#A2v*{n>G<KSuD+0Hk*Th5p
zlXf?1GBrFP*=8J_v71uDM9stQ`7@sc?e*yu`PzF6a&*rGS__=41-0vbX;(g3dfnGG
zbQ|6<4<*pfeo8bxBwu~&CZ^VlnlCMw9sXxW0oqEZrF2e5GscESaq?3@k1gieB^;8Y
z2H9aeoIU+}{3zMg1Q)`iyv#kXjBia?lLqrrfzif;<0JC!bWP4&o<j&@Zv!{m?vNZn
z)0BL%B;PtSEz#Hj#@3_8@cIMLuJj?dR`XUq@VOW5e1~tOy^N8PNmS^Y*?|1?gK4}p
zyV<v$@NJH8M**5T9(QT{^1_TPS3-~yn8M`{6#i)ekm1U7GM@i<<&Onsucq)?1*hMf
z0<_`XSNpvc7vj-0%$X=&OwjBb8J6#TxG1xjjiUs`=ZD}xB`VjMkLTs$iU(lo*9t{&
zJv!PQK9MIX1e)05HH>lZj9i^rQQDc8o$PiDpp{QR^!!Rreu{~Msgc1BNzB4#;i}<r
zz4D$QaIWrm`X2rn#{TqsI}XOv{s#E7obZD;O~a;Fg_ItEO^#(8%K84)d5n8w;g5RW
zzG7vXs3*dy>>qu!B9lXdh@9#bDy^l($v-n__^=h)N%v-GXWR~7kOP_(=JdJXsJl~_
z=A}%vYx~H4C^79AKocaK5O^DmYrw!bCrt<@)d5l9dQ~0JsvMLelwQsinAB(WW2KrC
z&gI9bEA;FBX5wtCGVO1CM>D#62m9owSFv6somcP?RNLnW&W5~yeF+B^!BP_@O{nfD
zZTCfcJO741hTbjFj)3%EsWoI`pikbsU6Pr_^h2P1`?$!Muw-S2H~?fdSH#+kJXVE`
zgPGVQ3Wid0sYImpL*Ao+?QJXP1Q$IzS9;@GXbU<%vtaod(1BOJ>EZC*IOoRk*Fd30
zarE2mYCt}oPRk%prSf^VlXd8XmdbMOMg~*boH)TWHpZJxKACCc*U2(-){*-jv@_fE
zWBt+#RWQc8F6|_o0n8u6Pdsr7JqWubUSCu$++M{}gCw5Kf+qUjX>L19<-TcSv&sX5
zFW+62rK(@1U_^!HXUSg+N@cV%oG<y`J~+v;)Zp0UlmWm(4db;il!*U&@FnfV@$h(h
z>xffB**_gnF`o4k^XHL7G$y~gk=9+-k%*m6wqft@svtwAuFqv;I)@|Nh9fE&NliyS
z4S7y(Tn~KX(9YabsurrG*&KXN-g2Q<6h_+ly{!Xx#nD+!T5;kAan`YTDJEwy{r>vX
zC9F;)Y&J6<4sVax?Fc}#Kx)uUZ!hGej^&P+uu?#G$s(|(yAa5&HVC=CE)7edll=ji
z#DVk?KNjO4NU2(vkLRnf!`#Gj(v3QGz2avY%pdI8!NB4y%n4-kB^X-dDVsdVhu`nt
zDHfr(-kHa)Zk!S@4wI#<%xfL<#>CutY$wiqlwq?v9P!J^Q7oOsL7;x{k!sjd22=Vg
zn2-XnX%W@Ie^(N&csr6Y>QEGhC1=wOtotZn^d&~C32xSR#r60eA3LB88v#VDB%8rm
zCJ7v+#^R)k&{23Sg?9P5IA&ttr!u(wr6W;!ZVF2(A(7nf<Z?;AdoCx}i?G>@Qe6WX
zjlVNYE4-67CtH?b|M@z=H`JdH4{KiUOtpgE`vwvfOFHLPVMrzzM|7q$*b%NpyP>uH
z&7mD(s;J20qha~dQ&HL9XBHh<e|1#osmodUA(ju+0BYvCJ0|N_ukMdXo5P7d=x|M6
zP_EABWZzi7F428(+B;I+mIu=IcpVE1zm;rJ7D|wy01frWjt(BsO@LEywSLaC6CAo8
zbZ+e4cy?bz!MvQV$a!>R77GTt0|R0C^`~IY7DZWMWC+OSx0Q~@=Xz$E_J?n5%83Hl
z303fMw4<#O+#d^>cWqT5@n>>102-SUu&lF{t}Fc(-Q)qn@tNVx)fix(8VM<wOU0Ue
za6Jzdp)C0tzzCi`cQh_f#bCc0&&)S}Ytpglxvxlr%SSW}06hnxvmLbGAII(;>aj~`
z%_5rIT%jzh6_1R>(d42~w+t2*E+o;dxsqI3F3OMZRHcN%OC^HxFJ4K>WW*zbLpX~N
zrfM@~NF4|<0%I$V0-488WRO>OmYNUDJ<{30WJ*O=%2-E%(*me&aJX(O(vNf?CK#is
z$k}UUdFu*<10;5#;gJ_|aruMeI1dK;2L(5UMGX?2m0_#SqqG-vt{@P+j|jG!;C=Xi
z;3Bz?G&_P2xE#^obZZGmI<Obs;8>_rNY-<QGN2F68y8>wrK<e(=@k?$4$MU1QHQ*V
zLjG{3Dw79ctrPD8_{t+CXl0)gdi|~qBW4=*iVi1kJy=6rDAxdt8usoHc=zAPF=m2l
zdnT~}03ZNKL_t)yRIW-6*8hh<J6i%nJL7J<7X5D8`I(X67eYzCkMa9cxW}d)`~ccg
zU8a{Hr3E{BG%84CM6MNpi70*gq3e(RX0PyxTW%64qnv7(if6w0yy2)xSFDfXaR&g}
z6lxVr!YSKYm^!{eUaB)p<+~R6^qY}lluWj;`JJ6U`^-s~D4tVs1G;*#E@?<8mZd3F
zCcqdhbTwj4)%>x~=E`G#7<V0`D0PezYcq_<?z>PCmU(1{vkGa-RBUB#r_cABqn(@A
zLyQlsDdHN4c;)0i2h0HAas|>EX}W1=I;6>P!K7;bcGB)`!p=1+Tm`LX8MMd9#2x4!
zKcLA<Fk72h@Tjvu$uY9K4PN`ku+#mQJ`tD0XYgJp1qS-Ua&*v;xwKq{x`FXsNEX|y
zJKhnpSE1U}cy)A61qAO|F>Gjl-@0RP(yMVXe%yP|a<t>!8tojn-#ZkRWBstSgwEgO
zNCYE3pdBE*a5*CvGw1<0w7aUv2DFnV19xrJ5I-w}$?w+beH0-cJD^D<3y^H{0l4g_
za7?IOs19g!6~Bum&TH2jNJ_?q;EDrm2!*2j2S?&E0Lg`RQaedBSrLc+$7I%nuscrr
zQHM(%d0@e6I`)01=Pf?50wQAkU}h1tqghAZP2L!lllCTPXE^p54jo9!7soq`wT{+r
zm8}zKkNA;}=F(p8m1XA72#XpjoF94d;m2(6MAu3AW6B|!!wy%#1FJxgCVn3Q*Tpe?
zBvQLw+n*_SsvJ0Sttj%9=lkS^G0ti=<>JQ~`Q<_lYm2c-fX8-gH0`i_?2MhUbUI|u
z%$z}uS@W^e>!zO!?H<?-fjR(nh<fS$(9U?6tqWJu(p=!A55OA>$nnXj^kYZ(>n8`$
z2UwQBxn9vp7Q^073fuH|(~e4vmV?{A{K4&`ebY?Zg2%@WXk{Y)gfS72fJMy;(FPI7
z-oJ5eHd_?&O=nTGDdx$pONFL<=|oC?^GHOyY}2>X^0(&;QiT}vK@38WIgU5(`0aaM
zTb^1ko1B7f;NVOg=wq6J)~EZtF=?}sB|-ZNbW<O8%NTWtQM&VH^20Z4b7qpKl)eQk
zQ6Jnk+4JMY)3YV{!{-NN4`wz`V2pb3MoCud*lx8!JiSt&Jm*TtC`O?S?d#>j<mGYw
zee8fX%mJ8T6efj2y@TeFC%J0Vt_A959Pe$BuDue>%f+U=_H;^q_t^x-oJAHe3G!E`
z(z1kb7>3mjQ%4kTcyzZ4wp38Tm>NdHFtSmR{wS@1K6npbRU_sLwD*UaayyUXm$Cl)
zerP8M^T?ndVtRy96wV8JetNwi$8p^9o<lG`1HKNS^_z$4!4}bq4E3yRcJo@_I^ad@
z`~<rn{Za6O{4kk!JnfvzV+XXt63mICPzNzqd>I4xeXz4Z20~MFamwEJzEV1+F$?&@
z;Xe8OlYJ6H$mzRj`A@%CmXENmBLUrU6$MGD6+&TZEH)}vDm`zJ8TRnmyAL#Q5-dz=
zv14f}W6uzqda0m5JQ0ku4Pp$s1lk)7R72!TM|xVZ*o^kNl7mpyP{E#?2*J{SSuWrJ
zPaU>{3NxAr$#BXPa|3yw;}|@~AMvS!yRD?UZ$LY-TZL5j!0yLHpL4RoE}*+PWu956
zoL1!-eWS3^6<8`^bRw!uRH?x7x`!igOXa%knTX3jeWo8~2oM00KAmsKv&Z`6bx19C
zw1~mGXp-NAE*%80Ej;cKy(xKwEtN|+qq~XS*E~-UXP+S92a!~kb{-BioD4{Ex`av-
zH`B}{eiO7ab6%)X1=tb!(r1QbFU}>ua66B&ckmJRzg|9)lw(5%&~r0InFk|CJNdCG
z`k4**FXJr6WS|ZSjpLkY%J%_jzbDV{)5Bwz(9AbGLOuYRi;DU@c{H8S)v%&VCq5j;
zD{xo>EM$Gxe&A}d92OqEj3KK%#-bH^n0`5Sq+gCP0hhb&ugdqQtCE7%FRd`HZx%tU
zAav$C)8PXO6@Wf6im`4iOyXgh4+3TrDZzsAU0*;ZU~g^+vzXImv{0~yv{~Aj2ZFOv
zZO95*sDmKv<PrXC3g$XDla_Cs&tt3~lP(|(eeWKQ71X?L^9G|DpuGTVOwSEtTpuR{
zY!~f4GVs8!9y_2}AOy4@Yiv_7u0_Ba1gz)^`Hhj67T-Ch<%lfHbVWAaHc&d~$jhbM
zS@|)})#em0Eq8PaIM_&%+cU7s=`^|B+-s>gtwiAi_moB@NT|5Cgi05L#ZQ>vg+96+
zfM(omo#Ft>!2yrlL<>@L&LC`M!%aIgt%NyW9ppu@7xBNGnv*;GV=x_zm4;AbxFoj%
zpf4;H<vUmMvIx}+R)sN%vz9j|HvDZRYPbW4>&6Rjy(kATrXA7Bygjs=6t?&8V+S<J
zv4G}rX2(W6a(1ZzD@G9%G{>Xc1hc1226J}J?O480A+hbgAph6hoIp)f5Zd7{>zmgk
zMpK6I<8*sV9I+J5|5mh$8K*{YecB36qk3bohO+@vsC?~Xjavck^M;jz=DLEQ{qS%=
z-osjy0;F^ZRzcfi@ywn>I~hVk9LFs3k@OdEB*kByfo(g)*^kwRG(DLCdeKjov9MR7
zsK{7hYU%_07-!;hMd^IUSG@G0_qc*x-_Q0{WwalbT45)T=F_&LGCLXA*2|6nG?^1X
zq4H4o(Nt7ElUkM2kkWmyCTc-xsHWcQ2BLXuCMN)5NahKgY-Nhd7Ii1TSQm8V9ACGF
z20Q%_=vu(=ObJ?mbRO{J6mYaD7j%ptc7?jHM+0b|ghF9dmWVtvRFWUf=3%}dxp~@|
zU*wf>jbOT)nde9e-pBxYz<8t2T)#r6v~7ZR#>cfA;YLoL#(|{CSX6@88n+8*W#jsP
z$T%`7h(b+Z@%U%Qa&k4Bhh7|nDiLrMtQG}I#JP4y$$~V+0pvCt$%Vfx&iiy$3L*kl
zs6r_xuZ*D6IgpTG1ceIe$vkg|YtfEM5{t!gTt*Iu02O4W7{qX%(WM;-n&f)XZr|Zb
zRg2C-m%1|bX5-f3oBhnIjSIJ|);ZXlekoOvsUa9wC+#SY?V{bC>~`I=^6m&nwS&58
z1lycOVP*cMVJt>3Wptv2Jl3_lyyAgUw)MkJuXVkYSnAhaHC%7My~3N8!6W%nK@LUo
za%?mJz$KtVVn@w3H@O4|D+y^IO2y^nv4;3+S?sjonrqT->D?Udq=yokEfKGVXIr2h
z;n)ezVV~o8FfY%H`y?I*?Px)%9<i);s@oANhh+|d5{*VBo=8Gc6>tDfQO;$N#SnIK
zQ08beN!f!E-i$-JsM9OM;l?dliI#Posu~#8NC~9#xX2)Egv4+r3xT)Y1!|>q1fv@<
z0B7G&US7%N<<xQ-n-=<zWvUUR`O(nM{FJL@>1$@>wJ}&x>Q5=4Lr^!ioA!0sf8Vcn
z44`eHl4<coLXCDGAD)-1nY?7stMP@RAd-?{eGqQU1t%OAeB2`nf|<uxgzFjk!UQH0
zU{*Jg>}yFV=5@Orff7Uu6-T8hm-=wJZ4rmn<II>6I*mb06LCkvy)wRTrZ!JIqwqAV
zI0YapPxn=162~u-_9$8p9s;@x=yjRA_Jaj=6ir(hpuStg2~X&h_+eqbg2n0{9FpVZ
zoGm0Pi^!3=9TC}gZpgX)cE4xf);rvA6r}_($D3LC(pX6jj6`t;I8Mw$eh4_WA`in^
z+Bwq03VpYj#+I}S7HpN3_GSPRE*SfMc(j9fFsfd!NVAd?&YoXP`(<(^AO{ZOs1FP!
z?sPD-Ty~r?#De9iPPdk8^0V968G+{ZV6-GhgNsrxr!k9&E{@?n6b}Ns{ZDm8_cQL*
z5A{grJ+ExM`6JNz(|g28-LqW5Q5QIR_}9jYatM3$`uhi^udff2DdC3(W@N!}Jl)DC
zHx|qC!|PS79r4Okq#~aQFJf_b8ncL|duQ_8rki&UL_1RFTI^D_B=Op^yqs8)38c&P
zzkRtVZ(Uy1_}MTq?Vap)jLJbKarh0BegJb${_9y79fy61sd!C}_7x#9s?wKVl@D_b
z>^;Q!f|OR&Egcpsqwxp9)$!WFe4^Gmt9Ce^84GPud+KF58p+ACLr^mYW70n`1VHzz
zUjMM0TcsW2#MkF?^0%kwC6AfUsdz(<r3w=9RwM<9eHQ0>FIE$JNIh+36UcO1qMg1i
zlMt4-b%42EE6e^sMn03w$zZr96HT0^g%04gG>=`L)5`pt&rhmN4vrtWqF@$wjN37Q
zW}%Qtxnfzq^Q&pOIA79}UtbvEVj!bKCKDAI!9h2du!!g5VoWL?*v5bbBW{f1R(s-9
zajTIbHmB2P<5sRi%)lr%iq+Xuh#`b>y()YB7|G}_$-(}nb^ue5%mg!aTB;fkv$-Xh
zDgBnxMfuv>x8?duMaFRI?MtI&*#p{}o}?t91`S2?aw%PvONA&VOEAX|^@qUb@LD(R
z8Yc)|Lp$F&eDXBwSc6@~3cR8m?<>husT#)qq1xaWxPH8kMXRVhA#6JK%K!7$w1)f5
z7bbP+j&U&0JI(DFK$BYySm^oLhcoj1ODlTD;ESUTIW!tU&mV_mqC--`^lmh=iUsQh
znaY&pT0SDTO0WZm)xBkGfAyl{L?%;qSuk6MvtU)Vzzv79{CYHHO$PiGIUFy@-gsRX
z2qiERm;#WgX2dYD^Ux(T@<m*5qwM#7bz9zqIj|&F9=?L1yQdu5nTHaF&?3=Qtn<LB
zxEY+wm=DRd0{R-D8=5vEA-EZrp`CG(W;$MN1t#rSoGT%Oiu)>ZG*OhvIA#Hp=#VDR
zS4bu?$%C&j%oxq4<@Ep#@<fOA!jf11<J;59yRW=BWo9xFFVopcZbtx`x+~-*Y`ZPW
zH{P4WzBepJA82A7FV;xo2;)>LrNAne%aX;gUMRc@D@GX^!?50Qj1%82hGeD?z{XIY
z6am#-9dL#IX8_EJYqM=A>V@qKFA5XCfgtQ3$I3E{<~4~mBs?Z9j&uD8WOe|lGe2xF
zD-c+b(d54g6T;s-w}?eqK6wGBQ60lh8=gnb%Ef$CFk2bHEM+*7My1ZkFlc`o=Y3BX
zg8IujwCC$S)qSBrDTw)(YgodbI@Y+rvXU378&=Kj1??jt+{XZ9jISHoIXq`7F?XkA
zxNgJ0B(Hi4h|MeK7rpYIP65=&^X~xEwB5~34?9UxKXyQ~>Eby3>{4F7fn&>f8thXk
zpFGd8-@XI@MkdE~K%XGvkK?t`EROr-vA@N<j6iaqsKDMv)r(OPFYMYuVq?mTL${Pp
z>}b-iUDOXibMaEJE)l$-B#Pq1)hL=-P8_f>ISy_|GajazK`<M&peg6BFUns6C_d!#
zXun6E9rNHg<D`PwO*`|&5g-nsMRQq6VtvUFKz+25!K|tWX3$__p@!4EU=D(km=iMO
zE!TjDamZ#o06Qh2nwm&c+9Ppn(*o_Nz&!VywDUdb=B^n-KV|TuywWTH(q8#+$uEC#
zYDTBpf9K_Wx*=gFf%>rmnqa2xTY%pD?K5}e{h5M{#ju7Khs=);#3Zg@#@W=44$C1k
z&Qwuian`Dcf+(O+izw7m2}d4dB4iIX!&16Xec^6$Is)1()AT{@4C#UOTsy%yScv?w
zqA(ph6UHzP(;2<F3Bx!U`Rg}tW30WdR*zl+?Sp-BNupJ<Di7C-lXm`?N9LQY2x;e!
zw5LG(7-(<6UWg98xoHP2TyxD%o<ES#bt9H`Uil-C-Lw<Te6LPf0Z@C2s<WS6^vhqK
znbqAtzxT=%EVFV$#?Fw`j~UR|<qh!t;=-(a_u?`RnfJ@{qap`k;fPIO5{1SBv}3;n
z85zx=1+`8@pgFEU9bvOv#aV+i)J;P$x;KxN1`^5#HHJ$*87_d;a*Q{Gu~il%-!Tm%
zkxT`6xL{@)*kO|`$v5A*B_AyoWfT?p)d|{S=D2siN=)Wa^90Ytlm#5~%L+)qlV+-7
zyz)GA8iDCWJLzLM&U6~uamp;>chjyFpBaPWJ<}to^}Xg`QC{{y{lK@g*ogbpU(JHY
zP5Hf7_vx|HI|0;>4bU7nWhdq$Oz3_Sj3JY-9$!vi0ev4jCP~ar5o{LB%4O#d3z`0H
zA(82n%G|_B5Zf!Ipmi3oyjo!Jo<GJ#XRkKQ!?>yn1VxC}@W1=3JM!bJX`D9>FpoFo
z;9y7+IPN(Cb%TJlbh`7wclJj*=#R8_|J=0GzopfEwehS+H{V-OYaYNRk7r3<!g2tr
zAMXRyfAjtv`YKKNXRqvoxnZ8Z`*<bwV*xaoO)xL4<mGGc+)+b?2eJK%&Fv8M<|I^&
z7?vuMnHw>i-&iPg1TrO#y>}NV-_dXP&%WpNkvY&#d&_U4Rr<!+dFb>$EE#Re(<45u
z#7R_U_7U6_tykVG82OE~+8_C_owSo@%!^e&Ow|{85eCM%MBrERe)*gCa8w5*^?!q7
zmHW`aew?6w<bbx!rU}{aKti3yg8UKeqJ9YyYP>(<=*^foLGx(A+N(gj-?{y=0Bkze
z9}DJjJLZX_4j<iGman1{$frXo(GGBbUlOWDO7;1TDsnFxY(?d_he3Ncs393N8!vG5
z1Gi@Y>TjG|P*DH#*8u7`Y`i`uN&UzHt(?H{1CL4jhx1G5c^e6J2)i{XnXTUZpa6W(
z@S4wU{G(t-;ZHAQarWOWna|hc0Cr=)y0?j4*)eniw{H^XVbJadHSY;&svj><{lN2S
zfcjfFDU5y5fByP@94o@L+!$qXz`u>G+%T#~3TRWPP5Joliu^UlGhv|c_@Gyw9XEP2
z2lc5F-mAIYkfI&<(SkXRGi1K@_DwlASJcs*SD|9<>Bnj|>dlW}M)E;fV?oU_GR{cq
z=K*R${M|W#`aIU$pe6c4fO-Hsa7<sx_<PXwHxvGm0U9)FtzKL$piu9~Y_=wQv6=Hl
z)tfO)MZForXIpJ<H$&v(_QT?2C-D34-IX8X%)fqg0$&_sCoq7SIkZZyiu}0qdav}?
zfLgKYk>@;FRX+&o?_OMjuxiM^{QN=PR%R;nqXG3J0ki=#cOX~gM`x$y9qi6#&;BJ8
z>Rw2wI0}`+Z(G%y@5TJb{hf5{)DBdvccEf^<NbN;X7|d8!KR!T!5%%#N^)kB9WJ&?
zpA^>(YC@Ho#YrKkn{sN_FW<v?i}l7e`Bz^!fR29Dtk$C(f5^Drc0g+(BGc}CD-rl`
z8mFXw9i4{+j$U{X!*fq#Ta%GcX1rOg5q(lhwJV<nyry97CsTMHxrk2SU%hn~6A>Oc
zfz75bPKanH5Umm?b#}6y3rkD)m7w;c5{9uQt?fJtYK~x?o(sqiFB8;F`B$IcFQeFx
z+3kAqtlQ64pSKOrwpr<}fwZW(lEco6<&6COdz>;AOd`}^5Je;f$=uKFJs6^+p&7b|
zLF87MvK9Z#FKO<ko4Vt2rYO{#zjYca7CM3B*mQHezbeDfnfnI@Af3%ZAXfiR8r@n}
z$T!U#aEO(=_BnCo$H@WDN?K23IEOPketcyWlP<U9H=fypaq5Wl$3x(i5qEB$Sw3!s
z_r3gLC8cF$ug~{>*PW3Pbj4YWFMo75BQr2?lEncwSsdX|!1VNTCWl2sn2{^3z~Bj{
zc!!2%Vr)>3P7cVCJ(wAcg~1Rru52sFy>sw*d{}M577DlfFJuaGX*w%+7793r1;<Q)
z?mVWX)7VDFa}&Mg3~cTdWdQ4}$3gdz$w8RA9l(eHHlKb%=(gN;mrn&}+bpc+<ii^a
za`DEz%+D=I2J38c!2#?Pk7Gep1Hube%o8MGR-rE%l)b}IIXaPqj*Yc5s0eflMKILe
zy4&<Ndwn24yTQDOwY(qRT$H!3Wdtibu_`Qv9nw+QfeWi~#41+B6|zfGETBh>rH;W^
zAIx=OJqGsK(`H-)3(OA<2j#WHgE%l9J4B$C(7DstEKv{JpSv*G`h0YI83*;Gv8fl6
zJD@p=Uy^hKq%|y>DrA?Xn9E??na4yV#S_AmHCifKW2#{@>J%&zy>_@?4owWeRPWBE
zySqHHIPB=kofUcW%Cg*Dg&|8WDS)Jg{Zy%APhtbK`7oal!!m|QykC65uuASM7Lyf#
zhf28sW0F33{ZPLOwIqPvoyJzn^1c8~>11nB8Ye=%`_ZiY_%aM_`(U<pFeL*Cbnu*7
z$4(KaWh($}v5=K2uCzQ9#wxE6HokJf3}ee<z3;+GTBcW4<>-LO7mtm|vHe4u&Q1h%
z0qd9Fy)-L7#rC9JJ&XhAp*~^l3Ac}tW;#9I8C$xFd02Bo0dj#*Bnr9#c&_i}j+-K^
zBrUFH<j&HH>`gS}*G~+~XATVM8e})0HNqY8hv$&Le`Q{N^3jsa7Xvs49c2#nDNK8W
zDC;VKT!P>#mGa7pFldfM6S^o&C%_0EOuW!c!*V(+w?X?ruq<DGdQhG_JfiX3FR5Dw
zv>RL>TwjpC|J4l4)JEmV_^>%)lmO=RtCJ)8S5RY}MGdRLxB`xyKkCdn-i&+F#{qci
zV>~?Q?owKAFV4&BlOg%77p9<h*>O)N(#LRd(|vV%MZWp&9jwC+%HgpQjJL)?18l%?
zg`a~$N^$-;6<v2$!4bf;V@F`KV5zQ{&J`p%PWqW$$;gelIr%Kiq5a-V`_w+kPH3Xs
z73=O|PX7MXP3&Uv$ieYZ8G(5R(xSAZ)nO~dGb8KR@uGBt2R<01G<3Vy%^0D`jwL&e
zO91wjxp~>2sLAiYG%5Q=(SpOd)80(6Zwb&WEEYl;p!?DLx8)x$WaQwUJuu&eL&NZa
zr#aE77DSZNF-N>O1*`>xZm|AiWa^A3#_z>9?vP;Z{pik&#9@N#zk6*`4x>4KT+Y(X
ziu&^pr{$aPFUk1uD5Nr0Q-KDyK*kU0ahRke5!9qzOIrOBz_wFl>9HzI0ENp<z*lGI
zrB+;#KYDcn(t23EF*?gF8}3nDE$yW1^v84Zw=f79OAN}vu^~14t7o!PNTIS?+Kuf&
z(2n<-Z_=!SYb^zacB~{+U^nFE{E{rM%*(%gX-r-^I;MiIoril<ylFt&NV(_ln{VHc
zw{F*Qi2J0jg{|@&F?g^ArDeHZ+8U7oy)C3p|9HZGt^ww<&)W+tGQTt{|NU#@^4uY;
zEq%n!(p^O}`}gl$m!Dk4E}5xGtXGIasuIY^EDH?z>ZHS+Q9~0w(I@?_^>6%Wg+}4d
zz{t$CnQ8gsmxkrlW8;r}3YodL`D82eqjR_Azn)u_LwokBROY5)1@4BlGY0G0JX()-
z;)km063oC|ymd!@?=uPcjgylKcAFO)+j`ec0oq2!1w~)|#Wgv%;FV|gPqb<%Gib7F
zk}+ghV)(V&*>ARBdl75=D1qr5rps^3|MdD8Ec9b5%Oi5k0drr4)cpEe*W?#Bs;I>K
zp#PfVn=ReeADdePSo@|sqlPBFWmx08yCN7rq?<#2=WpGXKYnpQK7Rs(*BXkUAD!d&
zuz!5-7Pg0F<Roa1Vq2EGCAO4qm3B)@n<J#jJW*P+Z*lheE%}|NWAc?3_Nh9$8LICI
zXq#ac>NnoJF2B4DtM~`^YQeGQTB+Pl%w)=Dv=itywsyfA0N4Vyp-gOA=y=63&gD#2
zZqDA7fA_^nd3tJ4n{rg>hwez@KfHTGzI&-4&povd`Y#UkfsVMAZf3>g-%x2FOUm4Z
zZ2`YIx_ub_E6K&1H|5`aZcLs(Jf<x|@3gm<6{g{7$}c{=EC1!pl6-dmJ~cK|Ux#)>
zqv3!lbHfEU?Y5N7cavX!cRO3=9LA(-d-mE*`NNYb`O-5J;JF#nb^GtWzqb!khD6`I
zFfBj0ioJVNdlXEprTn4>PT<F0Y3-6fuC(G$jRrd38I{qcxqca>@Vj2wc{0z&j}sP}
z4E}>KSlq|R$#DOud==|J<}v0;Fl%$)P0=<z+qmDmIw#-xC@UxSO)5iG&FD!t4I{Q`
zH*_2NNfY^_*UivP|4KLZ0m2aaf$<6X&+p90t@%~0NH%ZVMCzJo7(e-Y8N-o(cV+?o
zm%VC8lWG^T)++0EnX~-wO*>T-@_=QoVV!5bQ{LD(kOoImD9DaZ?v=lLZ&5B_12rAP
zZR9otv?0tR?A3q${Y3>cM<R^wh<)137(v(Z>-COAxc#*WvV@td+mFe-rU4pQTgL|a
zB-@P3w@=^3VxNi@?ncDj?>F*{QgC`PBY$^#PNqi2FdP?vF&ZwO@5*C~uHJNa^2SXQ
z{k!<!#KZoh;VZw9?m8wPupu}$C|`%ojvOSmR_6O9?jGSR?JL=WeErlN%;b(p5;J@R
z81u7+o>qR>`{sI&$UA7Z&+E|62^&`E33R}}_U<%>H@Q^RfPXzQHUu=qe-Y!u-+ONw
zi-$1ik7a{A2@2^$8ewP#8PY4L<Ol$N)VUfkV6yf{|Mtgl=0_mg`#QqeA2+!w$VoJR
zh?{2^K84=(JGU#kQyQeLN7n<rCt!3T)wyY$ZI}R{;y9%hn@?MLb?Dd(-JqjQH^cR!
zo9`UjyXl61j`&Pqocq$MR~I>Ht-||<;Yd42ZQg=eg*zCQ93Sjc6J*S{DJvK4EYFR~
ze5<r8Zk+OFdMIBCvSEyIFV!MC!bFv4qjFyt(5y-9gPgmzAm^7F*oEDvog;HDw<}R3
z-1?_PqeikOcm32}GhXV|VNM5N8IL;*vfcWQa9WALXb%7E861)yU@>_HohAlCux)du
zId961nHBlvt&&U)_v=s^E0ogi%6p4$a)46Coqy+EX=48E&lTR%$241E-E>>OOdEx<
ze`HAh@!|^B#h9g<Ca>E@I#@|gHf07a(+@6ZVW@Hl;5MM`Njv=OzXzb*jeQ~r0019p
zNkl<Z@W9QxPHd6y92(p|GAKX6nTt1PSG0v<xL&R&py`)~ShAOW>MCY&k^{PH+UP#S
zkgI@D5`3>e5{UcO&-Kg<n1XYCr(aiGbts{>;Q8Jik7=r4jUFuoXCkKyUi5;gSAm=G
zyIqbFidKq#dT{~!<C2)l#YC=EHIR%}NaUOOQEAI7pS$vF^KR)@db<2rTGyr9Ne34Q
zle#YM$<{+?otBgj+eNcG9_|`{=i^0b`Z<Lk#)yWaW<4a@dEk@f1Fx2EEj}Y%<{^R;
z4*amd`tFrQ>~gPC*7kJ00gZac5Vz;j@&TmtP$CM3Qk5V8O>N@U-jm_&pDEl{CgF+U
zx__-E3;|nVk;T@%zV985pi9R4<m`=A$zwgib^+RgZU)98FU-N_8`dgwyp^qko8H!a
zhh%c)b)CGE2bOLvNXxely2%4qT=t%E;y04&lV4oTNWM_iLS<gI!<l%RLf!eytsJ(6
z^{MK?yzm=;NWOi)9_<7uJg@gt`qht9)-Kvj8ok4^|1#R2ly`1%kz3yMBYM!@6VOC|
z5o695a1v`G9K#r(-{?x9$m+`W$|iw&GiSq8+L9PD-+fgA4FQ(<YFyCqqv6=B;@SSl
zJS+KlHGa&M&;7B8T+cKxRm`408Qp_Ao7fhvT#N9*%@tiZ#Z_Qz?nsZN*L_tr#K|-B
z+p5IO?>cFcx6CRF*3i^VcU$5s{fvu#@sBM<9Gd|$unu(<=MJ);v0aYwBSN`&XH^PK
zSZKn^xEj*F7wrbP4(-UN``OI{(o9GCO{FGZ*V1mW(?L4|b80;dDcyj9PUexOD!@rb
z+2PF6F4rqEk0Yl!*iJi(lTDMc5gkZpMq5rxrS;^B*OhDgnc|I(2*&>mmYG#><=TxH
zjvk|lE{$7*8b3z#FbsYS-*rXzNtat@uqbF6XL%o+8iF61Jb>Q^aHPEiqb*lwaZX}r
zuvIBrQQG)5ug=>Zd|^I{Wmq)@AndqvD-ML^VfA4($nVfg#xPFC&numM=Dp=1UUCMN
zs}#@Q$;fB1h{=bs+0Bg4GMWt?=%9g`t1~&wLz|O)+0?7E`Lb6VQ8(?jtni+avdkmp
zY9Is*!7^!d>Y0C2?kY)@R!cAf*jrwi7F~;W^T0!!F5Jz^>rYp)OrpIuME&B=8bI>{
zrO-+ii_@_TbT3XO)oD&<-X@|6+XovJuIdNxos7|k%^RCoPsk^~b~r8*H~_r_i~PU3
zR+Jkhb5t+E<cM0=)rs4QPb0&<#)&1U{aB)Tb0v$(2b>3j<J=5<T>06;t*yv2%Q)Kw
zd5YtxVk4cq3RUBD(cYbJd~aZ9%8Q4hvOmrtPSVxR2u3~S)}5l9S*oMuBd_?~@j$}#
z+40Y3x8pOshJq29Tg4h{w4(8t*%;yWw$*zkNv<woL&97JM<9p$m3GpvIdih7jCT`b
z^KP$*MJG+rT4%BTdoNA~egO;2`a@U?4jL(amv9#O+t*=q6MhZ(HgaYG8L^K&Xy>aa
zr1WBL1)D~SGJ;lwRmTRw=XC%Laef<%^SMfjYYPZ)4b@Rwx>ICyaE3eP-ucV1!yH<O
zmk&ne^ZT8ZbLiwuqhLQOK;S@ngH{IC|27V0)bh%GrB6185ty~QnXXF~#PvZ1X?doH
zEjmpebk1RO!YYhD#=&i)>L4O!WFy)gnsrVP`Km%iJH9s}lMy$oT^U*_$=eI4eiTz~
zx?NuQo;cUfd~a_Me-w1D!1(z*HXJ9gTSP0PtrYG!HhHh=256YaadHb#X9ge~EbUn3
zxhdM)Wd>V?(1c!kDk@(_rG|yG4!0lXD(>Db%X<)(JW>%#N1HbKbm+9?=%e$F9YwCU
zUaEOz8iHp8I(2uMcO}Q~Y<lW4moB3U`SqD9fd`Z+;aa**3Yt}Sp}F51I#@H=^z<jg
z@`?pBKGmv-4e=t6&XuLd@QlyMTBGLJ_xc)tjN>p8CwXwzy-F%Rqdn8m*3VY1%u5q`
zS|$%$aj55%G?Xa(*QUKYMw8c8o-Hj18&Fzchhx5s?N<$)IAF-5gua1F$O0qns);#%
z8M~?|mJhD?Hf0VEQtQaWeC{%A;~i9CW9(vEKU=<Pz9Ci7(q&PZ2ayYoy!58MlV(dh
z(<Du0l<VX~On&`nR9K%^aq!W5H%f9Bt=`@tOp>5=M%PD~!Gl1_ck7IL#wTXTzHML0
zE2dt;uBR33B4HoG)1`Lw1~epe8e6Bt6Eu3HCTde)Vu+TptFu>=7@^qdphwj`^6Q7A
zXd+;s5TZJST^ZCNwF7`sZ9s&xV`-cdAJf#R47gjV@CIo!d0MY8ptf=thaC(rj&x`>
z-<_Gb=Mx!QhYndpTxc`YKPN<tYo)#p?V2ggF0-v87%F1wa_J@v%iOHXD4JdEWHEL~
zf9yn3`ke&Y7Z=?Q13JDjTC$}ClesyZ*}+2P`sy`)+oA4xr-B7StWbinM_7|KmCXRU
z16f+`-8?b0GZ8Ed!m-TQfpP#AO_9m;N>Tp$?TlOp$fGFZ%c$JksS`op$&W;|<#*?<
zMZ0~e05A{EH@5c7W3~i4hRCzm=PDcc>;SY%DFm!T9jIWKjtjRbCH1{cL$8R$6%UiO
zkFG2zV+!aTO-;n*<TyZrh3;>ET##pu^vO6*lVIFj9l$H46`if68V}y{4f@0S&HgbG
z)2zW|-qbiFz}Ko{*5f9xjDxKMJ3$qU!+O22&xWw3h3Jlie$6{K-F&0Zh)3g7FL=Xv
zk+&Maz<zlY9YVBw=;^D6)}Kzg?Q3n2?Sm6PD>Cv1-H}tnT9LcrY6aNj4fD&{L2j;~
zPRi)omDwE$zBp;Ep`CdG{~~CK$D-`<*5y4+&Ya5BO`i#U3D$=Q&RJ(~ha(+r$Jh-2
zZ2U}!|J+W?7Zrhd<V-F{KDzMS31|jZ;^2|vegqk%DD^4jraSg^?@cC{MGs1?ioJnf
zgf7KX25;ZV$<LrWzHkB$z^F+JU?wx@AOG-#JHs~<lliMJ@rUuUm^FUAGm{Q1ShDec
z9M^3y6%LEl9HdctkakUIQ<0iHktS0?86(c#MyLAM8)%UrI#{`H<NTBrv{)>2H)SRV
zZn}FXN`IPHRuq8H4t@3Zz1g?OGw9X$0G4+CHy<7i4yNdFj7C2UJ3?4h^N{$MBKVD`
z!qNv@Bp&cGhk<}=OBG22*<l2*^lz4S4FRwaA)H`i1tP!svnvogBs8<H9@u;XF)UQ`
zL()W$<9KT`qpvz1j3@SBS1>;J`cp9+#)CSE36P(l2Uzh(z%t`ZTBtBg%SO~AE_d42
z8{aV>WWE+Mu3foOubcj(@t{&5Qc7x8;$9V*X|}T1x-qF}Q;l%Yf}m2-C+u(>NeSz(
zI!NkU(*^m-g{+*<H&yLuMbWyko}DYBv5tQ5Z1O<5jjGly$*lLyUdcMnBWO~1(CKb{
zY0|Utm~@?|uKeNz5IwbQ1U)@&b@k!6ihuIjFjmZItgS%TZe-<K=dv<~Lgy!qrYkO+
zp2<)vs3DwTfJ@~y^4#s#0Gb{cKUxN@wG>zsR2!$vP;JMKU=hj^JA$7(gcGa~`2EWn
zIkno5*bv~y_|Se(*Q_A&2GioZHO^s1$2ap}3zMBJm9QG=nh3V^f>Chffhvyb_e@HY
zGifq1=BWL|H*Lozk>8r=gIv6W(+HqQW(r_Bz`bWEEaTYWO!ez`A;A`Zu`2VBHc%&f
z(C*O9s5=rfAf_PjVIdEVxU)=MzT27E${ivg?Hti!gsjM|@^JB$>2zerl?K&7tD>nN
zpw$DF=*n%J1A|WS<X8m8DFbqFKX#!&bpPMyOEL(M*)Z*>T-0<V2HNq=)|`1{x%bLU
zPe3ya?14xlO#|X2jy0h-IRqACcBf5-R{-kYIGT_N#Irh|$03>}Or%i%Yy0(}6Gt6L
z8HiZcI(Mul9j3<^NDnt1L~s}mjhmQ!tc_u-Z)mCuod_L=Wm%fsu1`C^cYpOZYVz$5
zR#l%XqtX&5UJP^m&NKb;g?(Y{kPgeq0k3?09`-6w@M{ZoeY%+z`4z^&M;x}?P8UR8
zXo7(1rcuL~k520BlP!nVGnhram_L?HIaii%y}cywW*aCc@Ca+^|J|#wzcT2TVT^VR
z)^R#8{o?1QwiBf$_I6r^SAO(H*s<&kXE@OV(8h@PKop$=bmEvn0@R(50gs8!ogE`T
z05mWpj7g8@#*Li?57rWY<+%YZSP!<kC$t=J4&O7d!I7)T_dm?YEu81ABOi#?l3~)c
zEVJ3SSC1|yO$A{K17I<4>Gyse!$P;k@I%N`QySRP82W6Q^kMU3z|Jq`jeT#}?|}@c
zvcM1r0iDlQ<mZsu$0ouugpT3xkY9?JiS2`^QPpcrJeCfdwz(24T$>EL{jmLk;zRt*
z0pqZGqz$>*tI~vcqL}!KdCN+>9~HY-x!dyQ)s(k$1-%?6=5QZ#M78biN>z$zMfw1~
z+2xYl%2gH6VeI-D$Kg$vAZ{awr7bQQlCG0x`%F?<nL|ySrwDwJUM1fI(!Xl}O;0p0
zFcPPYg%XHE(}s5@+a@IMt!v-$jgdy|w6RCaf~4!~58-F-?O)d85gd#@GU$_2A7$hU
z7!iV`wT0WX?KjiHe|N^2CWq*97-Bn!(^jMGae<9)KQ^7sUNtQK45GFrakh9FqdZ{%
z&*<pwST>@azR0O6n2wPuJ$;I2W*f(1Bj|YHK}n|9!1z@{<2`P{H~w*g;L-~2ydqzV
z=;2QQ5Gfdnr;fxp?-$IBR`Z1N=*KKb%3qZQw0udw8M1Y!PuiI^zB5_088ufQYVkad
zAH$+vi9s+-rabcD3QiqE2bjwpBHFJ&MTZWYrqsr%T#6OO$0*o(+bH>npW88?TpJ$4
z@q9zTr=gwY-uBr6XoGkI=tLxdBXaYS!P<r>&N^A!EV`3w-?P|AZ3Vl-|MSo0B#GK-
z!`8Vw9HyWCTkH|*L$mQq?1DM70y9!L?l=fy*fh21Q36f8%0T<UzK0rAtdwDA*^8Mo
zOoVW@;Q^e|4rwv~kn{(eat(9`{g8tI=Vl%A3E?SYgFzXFE_DkMY7rwFbe?cPzPL9k
zsK3(0yV=F64qxfmG?HkgV(HURYyWVly$a(sBe1JY!!EtnGpr4@@f$<C7gnxN=Ft0Z
zX3J0yu^`Qju8pGrFo7Fn?#4nD<JlOV#K~C4_eJF=vsszJ(EdU69i|}I=<@lpT*nAV
z!pGsv^=a2~ccn}9v<O2*Q<xNvfuFr-?*KHzvSYy67iQ>CswqF8E9)vJj&|USiM~}M
z+_|wS!w<bdvY(ql(+w|le8quq9NjAa?6Z8)kZBnH{vMVzAAx#9w+1{EM|8Y6@$iQE
zC_;)1K$4C?AEgx{ZeDfQR1LR<KMc#3iRZLXvRuJvL=9_?O|$EYh_thyJMv_{bK%WO
zu_3>IJSAVAh{()rUOrwZW9HE-2lhne5P(j17lr)uWsKRvKkN9KG}fh?k`8TKtt1Bq
zaNrRvP;s{OLFi_F7@qv2F_<ZgNPU1Q@JbyEl-f+EH+o!`cJhPRS)41#6&zhXG!~Sn
zpX!%?k4c}aFraku0Qyrgc*1V(Ggk_NiB9y-4DGF=Wg0zc*ALnutf4X=oWMv5%BhzL
z;x&L~P<kYwr*M#uXQqfg5=N1oNfv%L?E*{GI(L?E?>urfo%KatG%%j!K^u$_9XRN!
z=!A@-j6IOHtf}<diitODetE&aR-xk+vWJ<XvOFEG%NWLay;yUic08EKeY!TFLu!cp
z%{u@hDoqfH*%n5lwi(o`eK2{4+KADiCagY{CATL6gN!l#wX%fq{Yy8}^7YecL8FAz
zU8!!EudSGP<Ivq^2HxR40aHS&G#KPj#xSkLiu`~rlg%6X7XV1624GO}MnSUJv&l6h
z>(kDVCf8bSsA$Au80x?`ezh$9uMEjibO4`zDkV=liBut(fA+zW{C~69{0rn+0d`N?
z5uWA4Bm3gs3Kl(?Bk6hxu{D6U1<M1>M`4WoXgn<+@nA>TG43F)gWFDyyDo13TDkch
z3&_9m_MF54;`5l)r_925yvEi6X!^C3x|%-vsX)+st9d!H7Znek1C`JZSg=+~1yG0s
ziI5yk7395iK?1N>=ca>75%bW~A)gTt^wz~yS)9lD;R(OQF*F5LTqhkCv6Ah*X@DKf
zz$dN5jAvcCyAuIF^01Nj#l1}&VF8P!&~uGRv2}CQ9YfD&rJaC=#HR(=<3oA*$y^>S
zbKmA^XUxbS)#R1sy!`3UtMc*~`c4r@etalms+tx3^b$|=r5bvVGVjVM`*9f@GWvy~
znxx_>lsP0c^31%u-MWCLNaqT+qr+MG_(mQ*YaW?vS<lAEL7Q`NM{4igNj0=7foGVV
z{XPskauZD-3L8rtpsSe>%v?(n+en<NO_@Y+x5i|+A_vf^42B}Q-MyQzuHc(`<cI_d
zHIB-AY&aw5(Dat8H1TVswC0bLZ$L8>;;`NOcdPOi{DqNU4prKY;t;0Dus%-LG+6#@
zhHmn{faZEnuqgX+o?!&rqXN)#w}WoYvjW<j(0dpoFz?S7p|9eESxRZ3uY-157(KWO
z*@RXNDk1dnZ?2SeQ5G6htUbXHE#40R%q(NmB{q`xUS-a5DZ)&1A5PsmGz4p=*oDq=
z>eV`}0kkEKfDU0X^#M!>9A3!Fg+d<vxtMko2xsfeohcggxBFXL(AsbV7#^Zub~*@j
zEA=P|Ew4;mHWk!p_##s|_S~#y<vB>HB=#0==OII65T!lo9><BUC;M0BZGgHT$7PV|
zmhq&}<kP5B_SsU(=L9NiA3RYFq4QuEjH@Kr%$mY<Xu`L9(v8$Odsi-H<>UlT&B756
zAz04e&hu!<TgFGrsKcqKJU_fF|A;<7z?an0?#LquWJz_F6{$9^23~mq-eGot$v5~+
zK)s|hYK9GIXg8q@PwhRQ7?O_CJP*sYZ;Vt?F8xaTdX>2+pcx7E=m-jypgB2~mpj+6
zpu7zGzwG^LjioQ^+QhW)>^FNgVC9oBS7P2<Ff*Jb(_W1a{3X!wlJ7I9STCi@vTqOv
zxT{It-lxsB!fxS)g-R1#tRx8>WdB*veJh)jIhc%%;uvMCdN3cxwW)32t^H>Fclzk2
zdu=GbF=5z@XNv_n9xuwF5lCl;?(I-FY`UbKWgdp9uNW%uk<px7hst%OfMHCY)Qd8p
z+Z^rfGG34NR=V~E*KQ8+1v}cga#8k$For+k*W;i!5@J08ZHePq*s(Zzr-M0pHJ6p|
z!YV(;-IQ=$xWmj4X%4Y`bZ4qvhxuhQu9IE1j`A(EC7c9Ml&K)3)Hnv~dE)9rI5msg
znRp~~G?u^u@;vmwRr%g+9I@a{L0Xyh;VnvBw7cnMvD?<D<#)rIHr>XXiH(0%cf=6l
z5KftT0mt9<qca%A8Q*L{do{TmCUcLEjF0g~(Gm~##pUHa%d)5j>>=E`I*7!GyTxip
zy}h*OG1m~OXXKU123iiBNrQ6Pi1wa<X695{q50*ZHaytp@JLx!Atl~iVSy*~yEX|f
zFt>@acb&y--x`wnjRooU<G#1P0cL=#h+g-AWaQPcy6#knqq9aml2V0v-7aS<GtUhv
zmHOo1a8X_b-9N*DnY9qC?;|g^DRful&h)$Kuyl4`O(<J&JL525rtTO;fqrf;o7+BY
z4TClOhd?*ewzTt9t~jjj?;R+~>xGQ`a5{r^&V5ixTq8c~mU}ntma47MPQ96<Ox{Xb
zJ~v*L$-#u7or3^Sjn*sk4FSy>OKFt=cq)(*&r}wqT+hkrG>%pX##KVtT57Z12B{^W
z{iS_piMH4F7xx`A%~(pX2%iL)zc5ykeZxEp+?=|)ox@f(U0bMbx=)N%VL2%WeHxVu
zwjsDE$f_SU+{ScUI=ip!(A{_15yCK47+`*5yoid0(`IpM7LUK9gj%mayW`pFvn}&D
zTIMp!{4fMbsg{?Y&tnL=iJ?NYQd^_l=3r~I6U-j;mA-%xmm{MQLpyNDa@nY5S{KmF
z1_QD-P)gTubT2LNKVM%$foA316?AU=F=M+Iwbf>~Epgj#2uiy48}rP+>%pD{#$|$~
zT1Cc?-seV3^3+HSQ|N<wQ02V{Yp1aFI}2(<cS<)9JX>EtUNfK@dGY~Nj{4E2$=;c(
zrK|gDb7SAzXM1I1!)lzzc=G_%jL(e~<?wJsQYoIAg|lZKl5}pTZ*=JhBq7fp=jMsy
zSga+DoV>HtluR8*YM|vNm2F|RO|&CU^1fKb7&y{<4PZWo37Y=?0niV1!#U4!qsqJ?
zph+Z~bR(@WB7unk_O?&TGUny8I&HmLjcKh_0Fq2g8w0!CdIjk6(jj%Y9jcClgpP!B
z^4u_+oH)Qdq=eanDmNm`9q;|zvof;<phUFm!k=j_O2iMkv15CoN>HO<wH0wHbPw7I
z&~;m9Cu43p%q9bLdINcRaTqPq5RO6{7?c!_zhed4sJXo#I(vm-ew23T>YUx>;{RjK
z1#D74>%3T(yA_r>S_$x|CCavecCPB=<jI&fCoe&O9T*DA;NTzt-LIz%Z>B}QC!k5N
zZHB0N=<p2)_IsDHP6G?ou><4dQVa!)83ixa7QlZeczaL^Kkm2mPiNj?JubjJfHB7t
zeFe-m;rKTkd67b)4&rRT7?`{n!c2@0_Lp?Cc~63FqLKye^DSZZ7>+PoF3aUYTq@YE
z<$+BQst9hnS<p(C`(=wplP^m*pUBr{qbe~^Sx&}ta(ti;^T9Cyc?g9%&{8#+r$^yh
zphktZ&Wpq9<H3SlTq?_jTwIDCu6SEZyDiBMh9Ht&WzM)M=^Gfk4`GqOGqIeU7=WeO
zezZzxjR#QX#9a`ohP&e1Jau0;1!z-{9L9^7LIqR3P(=cPWgKywmnrNJzm$u}Y$YTm
zWUGOVlH3Hz0>ecmRI4UCIp9~@8RC9B)=pRe!K4F@cZ(I}sU&JD&H_&+?ID%u5P`Xm
zLPA+4S-ROm@jPyVN!L91ma$$uE0ft(xs(pcoiePl!lF+Ng-g1%QiE=epBm}x6eTW<
zvqd)&;t*({3A#NM*&l&=ktoZalpmF-Pb+ahnp#%khp9JPdfiv%(+V=pGoEQd%O3!!
zA;|V*R^{VN5O!72dDfC6?VLn%mAR7Ln|6-Ha~(@SDp(3zk;za=jwH)6fx-I}08G_V
z4`oG}TlJFpxR=`$pcx4xGvkzI9jdA#kY0h{Dpo#aWITpdRhXK*l@H5u#Sc5q0ZG@n
zTpUd|nPVbp<%dfMxe=2K^izSVBmm|;5fB!`S_RmJNG4+1)28mk8p_J_s3dbMlP<a~
zQ%N_$6$phT7RktHv>@}CxxA5s0hCHWaxkN{T7wxaz?R_VESc77l}|ia$<Q4l-B_v_
z_o3p3Ycdrp$q=^qCt*i00Wed4WhHXcy_o`a=lwzNnVxN>SO&aj83b_NU^tYP;V3E~
zme$?Ohh)AK1nsaF0@|zCkHv$ZsF1kxOx2B(E||%X6zERiHxjDKK9u=z6cc4Qw<eKD
zwrHn{MP4&qcRU->b<ZOyx&xc$!RR_AtntX<#L!Fz#se`<ozLen)P<8%VbWu%gyR&-
zK0QIT49QgkkyS`y*0BIq+VO|3CKkXnWdMte_={l~D94s#m^g@ouq4M^@k}rgNF?lW
zIZHP?NtW(xHY?d|MhXtynKCQ`mHeQa<`vMnLD5;dnR7p;zykns7~7{}0TgPaA%h_p
z^~TI;7!{Ti8Z1zPhf>+y0o-hXJ`DblcK$5wEawbp&pEUgF|3)xl314c3Vx)$1ldbq
z*SXmcj%%e!I~V82unxK}1ll9mq=2;#JTIJM>z4L7Cbjs^w#HkbeanEh3}Z(@57gwa
z4nUmG7cf1E*+dXqE@68O)~(jiTctfStV_}6g-tL4O<V>cy0|W%#|{Lr5GnxBa%PfX
zW?@D#Ur!)gsk{}UY#txRm2~r0Y0(Xu(K2ae#_`WQbh3sKiV7rg2?bjP{hf4UwILSv
zaz>JLQ#TAN-L%qAx}yr@okll#Nl+Ve2N=dgnJe9(on>CcmFu)gKP}akunAUaw^RQp
zc-kWgV+}NoU~+L$5Urf0os&5n`)4I4?G#}5Q|9*#XiK22x$K>C+>(Uq755yw=6fE%
z$RRkRM?*?$Q^xhY0c}zU+%SJ2hCenltev*0xgWwF2AFM}R$|%0CB2q*8hhk@6@X{w
zR_O*1=tu`g2Dt8+OEoRcO23Ql$K4uPI(uE+v{Pc+vet6fvag`bK|9Kv6`%g;ly>OY
zTq~nTC}S4d($6vvvCJJHKS)dbK!COcGt*Xbv5-k9fy^s^d}oLwWsuO0ZpMOBoeYE!
zz!t<L=s}3G`Fhw_ci~#PEzMeym2T5qGcQ_^u^^wT_eiUyoqVuA>+fOb{Xyfmw6k2@
zwA*s$JL=5bXJ~0+nR2$#mb>KvpZU#zo^AO3yKMoqP2Lh|ueOHTtMz9y?k2*0Z~c9e
zuDxg`-Ds$tkq$$RrL+4=o_tbWFWT)pUajjzvwdg%Jm_^>0o|P$H!=KXpSugM`?))w
zPujDk)8^YgchlMZZ2f<dua;IzgMIF%wfounf6(jy4;MMn_XA>uUjP6A07*qoM6N<$
Eg43C7*Z=?k

diff --git a/08-Graphs/Graph Interview Questions - PRACTICE/.ipynb_checkpoints/01-Implement a Graph-checkpoint.ipynb b/08-Graphs/Graph Interview Questions - PRACTICE/.ipynb_checkpoints/01-Implement a Graph-checkpoint.ipynb
deleted file mode 100644
index ad968a0e..00000000
--- a/08-Graphs/Graph Interview Questions - PRACTICE/.ipynb_checkpoints/01-Implement a Graph-checkpoint.ipynb	
+++ /dev/null
@@ -1,223 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Implement a Graph Class!\n",
-    "\n",
-    "That's it! \n",
-    "\n",
-    "Best of luck and reference the video lecture for any questions!\n",
-    "\n",
-    "You have to fully worked out implementations in the lectures, so make sure to refer to them!"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "class Graph:\n",
-    "    '''\n",
-    "    In order to implement a Graph as an Adjacency List what we need to do is define the methods our Adjacency List object will have:\n",
-    "    Graph() creates a new, empty graph.\n",
-    "    addVertex(vert) adds an instance of Vertex to the graph.\n",
-    "    addEdge(fromVert, toVert) Adds a new, directed edge to the graph that connects two vertices.\n",
-    "    addEdge(fromVert, toVert, weight) Adds a new, weighted, directed edge to the graph that connects two vertices.\n",
-    "    getVertex(vertKey) finds the vertex in the graph named vertKey.\n",
-    "    getVertices() returns the list of all vertices in the graph.\n",
-    "    in returns True for a statement of the form vertex in graph, if the given vertex is in the graph, False otherwise.\n",
-    "    '''\n",
-    "    def __init__(self):\n",
-    "#         self.nodes = set() # all the vertexes in the graph -- could be done in the edges part\n",
-    "        self.connections = {} # all the connections start_vertex:{end_vertex:weigth}\n",
-    "        \n",
-    "#     def add_node(self, node):\n",
-    "#         self.nodes.add(node)\n",
-    "    \n",
-    "    def contains(self, v):\n",
-    "        return v in self.connections.keys()\n",
-    "        \n",
-    "    def connect(self, start, end, weight=1):\n",
-    "#         v = self.get_vertex(str(from_vertex)) or Vertex(str(from_vertex))\n",
-    "        if start not in self.connections:\n",
-    "            self.connections[start] = {end:weight} \n",
-    "        else:\n",
-    "            self.connections[start][end] = weight\n",
-    "            \n",
-    "        if end not in self.connections:\n",
-    "            self.connections[end] = {}\n",
-    "\n",
-    "    def get_nodes(self):\n",
-    "        return self.connections.keys()\n",
-    "        \n",
-    "#     assume there is one and only one start node (no one points to it) in the directed graph\n",
-    "    def get_start_vertex(self):\n",
-    "        cadidates = set(self.get_nodes())\n",
-    "        for end in self.connections.values():\n",
-    "            for k in end.keys():\n",
-    "                if k in cadidates:\n",
-    "                    cadidates.remove(k)\n",
-    "#         return set(self.get_nodes()) - set(end_nodes)\n",
-    "        return cadidates\n",
-    "        \n",
-    "    def paint(self):\n",
-    "        print(self.connections)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "g = Graph()\n",
-    "# v1 = Node(1)\n",
-    "g.connect(1, 2)\n",
-    "\n",
-    "g.connect(1,3)\n",
-    "g.connect(1,4)\n",
-    "g.connect(2,4)\n",
-    "g.connect(2,5)\n",
-    "g.connect(3,5)\n",
-    "g.connect(5,4)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "{1: {2: 1, 3: 1, 4: 1}, 2: {4: 1, 5: 1}, 3: {5: 1}, 4: {}, 5: {4: 1}}\n"
-     ]
-    }
-   ],
-   "source": [
-    "g.paint()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "dict_keys([1, 2, 3, 4, 5])"
-      ]
-     },
-     "execution_count": 4,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "g.get_nodes()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "{1}"
-      ]
-     },
-     "execution_count": 5,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "g.get_start_vertex()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "set"
-      ]
-     },
-     "execution_count": 6,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "type(g.get_start_vertex())"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "s = set([1,2,3])"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 8,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "{1, 2, 3}"
-      ]
-     },
-     "execution_count": 8,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "s"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Good Luck!"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.8.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 1
-}
diff --git a/08-Graphs/Graph Interview Questions - PRACTICE/.ipynb_checkpoints/02-Implement Depth First Search Algorithm-checkpoint.ipynb b/08-Graphs/Graph Interview Questions - PRACTICE/.ipynb_checkpoints/02-Implement Depth First Search Algorithm-checkpoint.ipynb
deleted file mode 100644
index 7cafeefe..00000000
--- a/08-Graphs/Graph Interview Questions - PRACTICE/.ipynb_checkpoints/02-Implement Depth First Search Algorithm-checkpoint.ipynb	
+++ /dev/null
@@ -1,60 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Implement a Depth First Search Algorithm"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "For this problem, implement a DFS Algorithm! You can assume that the graph is in the simplified form:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "graph = {'A': set(['B', 'C']),\n",
-    "         'B': set(['A', 'D', 'E']),\n",
-    "         'C': set(['A', 'F']),\n",
-    "         'D': set(['B']),\n",
-    "         'E': set(['B', 'F']),\n",
-    "         'F': set(['C', 'E'])}"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Good Luck!"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.8.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 1
-}
diff --git a/08-Graphs/Graph Interview Questions - PRACTICE/.ipynb_checkpoints/03-Implement Breadth First Search Algorithm-checkpoint.ipynb b/08-Graphs/Graph Interview Questions - PRACTICE/.ipynb_checkpoints/03-Implement Breadth First Search Algorithm-checkpoint.ipynb
deleted file mode 100644
index d378be4a..00000000
--- a/08-Graphs/Graph Interview Questions - PRACTICE/.ipynb_checkpoints/03-Implement Breadth First Search Algorithm-checkpoint.ipynb	
+++ /dev/null
@@ -1,62 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Implement a Breadth First Search Algorithm"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "For this problem, implement a BFS Algorithm! You can assume that the graph is in the simplified form:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 8,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "graph = {'A': set(['B', 'C']),\n",
-    "         'B': set(['A', 'D', 'E']),\n",
-    "         'C': set(['A', 'F']),\n",
-    "         'D': set(['B']),\n",
-    "         'E': set(['B', 'F']),\n",
-    "         'F': set(['C', 'E'])}"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Good Luck!"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 2
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.11"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 1
-}
diff --git a/08-Graphs/Graph Interview Questions - PRACTICE/01-Implement a Graph.ipynb b/08-Graphs/Graph Interview Questions - PRACTICE/01-Implement a Graph.ipynb
deleted file mode 100644
index ad968a0e..00000000
--- a/08-Graphs/Graph Interview Questions - PRACTICE/01-Implement a Graph.ipynb	
+++ /dev/null
@@ -1,223 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Implement a Graph Class!\n",
-    "\n",
-    "That's it! \n",
-    "\n",
-    "Best of luck and reference the video lecture for any questions!\n",
-    "\n",
-    "You have to fully worked out implementations in the lectures, so make sure to refer to them!"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "class Graph:\n",
-    "    '''\n",
-    "    In order to implement a Graph as an Adjacency List what we need to do is define the methods our Adjacency List object will have:\n",
-    "    Graph() creates a new, empty graph.\n",
-    "    addVertex(vert) adds an instance of Vertex to the graph.\n",
-    "    addEdge(fromVert, toVert) Adds a new, directed edge to the graph that connects two vertices.\n",
-    "    addEdge(fromVert, toVert, weight) Adds a new, weighted, directed edge to the graph that connects two vertices.\n",
-    "    getVertex(vertKey) finds the vertex in the graph named vertKey.\n",
-    "    getVertices() returns the list of all vertices in the graph.\n",
-    "    in returns True for a statement of the form vertex in graph, if the given vertex is in the graph, False otherwise.\n",
-    "    '''\n",
-    "    def __init__(self):\n",
-    "#         self.nodes = set() # all the vertexes in the graph -- could be done in the edges part\n",
-    "        self.connections = {} # all the connections start_vertex:{end_vertex:weigth}\n",
-    "        \n",
-    "#     def add_node(self, node):\n",
-    "#         self.nodes.add(node)\n",
-    "    \n",
-    "    def contains(self, v):\n",
-    "        return v in self.connections.keys()\n",
-    "        \n",
-    "    def connect(self, start, end, weight=1):\n",
-    "#         v = self.get_vertex(str(from_vertex)) or Vertex(str(from_vertex))\n",
-    "        if start not in self.connections:\n",
-    "            self.connections[start] = {end:weight} \n",
-    "        else:\n",
-    "            self.connections[start][end] = weight\n",
-    "            \n",
-    "        if end not in self.connections:\n",
-    "            self.connections[end] = {}\n",
-    "\n",
-    "    def get_nodes(self):\n",
-    "        return self.connections.keys()\n",
-    "        \n",
-    "#     assume there is one and only one start node (no one points to it) in the directed graph\n",
-    "    def get_start_vertex(self):\n",
-    "        cadidates = set(self.get_nodes())\n",
-    "        for end in self.connections.values():\n",
-    "            for k in end.keys():\n",
-    "                if k in cadidates:\n",
-    "                    cadidates.remove(k)\n",
-    "#         return set(self.get_nodes()) - set(end_nodes)\n",
-    "        return cadidates\n",
-    "        \n",
-    "    def paint(self):\n",
-    "        print(self.connections)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "g = Graph()\n",
-    "# v1 = Node(1)\n",
-    "g.connect(1, 2)\n",
-    "\n",
-    "g.connect(1,3)\n",
-    "g.connect(1,4)\n",
-    "g.connect(2,4)\n",
-    "g.connect(2,5)\n",
-    "g.connect(3,5)\n",
-    "g.connect(5,4)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "{1: {2: 1, 3: 1, 4: 1}, 2: {4: 1, 5: 1}, 3: {5: 1}, 4: {}, 5: {4: 1}}\n"
-     ]
-    }
-   ],
-   "source": [
-    "g.paint()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "dict_keys([1, 2, 3, 4, 5])"
-      ]
-     },
-     "execution_count": 4,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "g.get_nodes()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "{1}"
-      ]
-     },
-     "execution_count": 5,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "g.get_start_vertex()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "set"
-      ]
-     },
-     "execution_count": 6,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "type(g.get_start_vertex())"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "s = set([1,2,3])"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 8,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "{1, 2, 3}"
-      ]
-     },
-     "execution_count": 8,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "s"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Good Luck!"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.8.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 1
-}
diff --git a/08-Graphs/Graph Interview Questions - PRACTICE/02-Implement Depth First Search Algorithm.ipynb b/08-Graphs/Graph Interview Questions - PRACTICE/02-Implement Depth First Search Algorithm.ipynb
deleted file mode 100644
index 7cafeefe..00000000
--- a/08-Graphs/Graph Interview Questions - PRACTICE/02-Implement Depth First Search Algorithm.ipynb	
+++ /dev/null
@@ -1,60 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Implement a Depth First Search Algorithm"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "For this problem, implement a DFS Algorithm! You can assume that the graph is in the simplified form:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "graph = {'A': set(['B', 'C']),\n",
-    "         'B': set(['A', 'D', 'E']),\n",
-    "         'C': set(['A', 'F']),\n",
-    "         'D': set(['B']),\n",
-    "         'E': set(['B', 'F']),\n",
-    "         'F': set(['C', 'E'])}"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Good Luck!"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.8.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 1
-}
diff --git a/08-Graphs/Graph Interview Questions - PRACTICE/03-Implement Breadth First Search Algorithm.ipynb b/08-Graphs/Graph Interview Questions - PRACTICE/03-Implement Breadth First Search Algorithm.ipynb
deleted file mode 100644
index d378be4a..00000000
--- a/08-Graphs/Graph Interview Questions - PRACTICE/03-Implement Breadth First Search Algorithm.ipynb	
+++ /dev/null
@@ -1,62 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Implement a Breadth First Search Algorithm"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "For this problem, implement a BFS Algorithm! You can assume that the graph is in the simplified form:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 8,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "graph = {'A': set(['B', 'C']),\n",
-    "         'B': set(['A', 'D', 'E']),\n",
-    "         'C': set(['A', 'F']),\n",
-    "         'D': set(['B']),\n",
-    "         'E': set(['B', 'F']),\n",
-    "         'F': set(['C', 'E'])}"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Good Luck!"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 2
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.11"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 1
-}
diff --git a/09-Riddles/Riddle Interview Problems/Riddle Interview Problems - SOLUTIONS/01-Bridge Crossing - SOLUTION.ipynb b/09-Riddles/Riddle Interview Problems/01-Bridge-Crossing/01-Bridge Crossing - SOLUTION.ipynb
similarity index 100%
rename from 09-Riddles/Riddle Interview Problems/Riddle Interview Problems - SOLUTIONS/01-Bridge Crossing - SOLUTION.ipynb
rename to 09-Riddles/Riddle Interview Problems/01-Bridge-Crossing/01-Bridge Crossing - SOLUTION.ipynb
diff --git a/09-Riddles/Riddle Interview Problems/Riddle Interview Problems /01-Bridge Crossing.ipynb b/09-Riddles/Riddle Interview Problems/01-Bridge-Crossing/01-Bridge Crossing.ipynb
similarity index 100%
rename from 09-Riddles/Riddle Interview Problems/Riddle Interview Problems /01-Bridge Crossing.ipynb
rename to 09-Riddles/Riddle Interview Problems/01-Bridge-Crossing/01-Bridge Crossing.ipynb
diff --git a/09-Riddles/Riddle Interview Problems/Riddle Interview Problems - SOLUTIONS/02-Coins and a Scale - SOLUTION.ipynb b/09-Riddles/Riddle Interview Problems/02-Coins-and-a-Scale/02-Coins and a Scale - SOLUTION.ipynb
similarity index 100%
rename from 09-Riddles/Riddle Interview Problems/Riddle Interview Problems - SOLUTIONS/02-Coins and a Scale - SOLUTION.ipynb
rename to 09-Riddles/Riddle Interview Problems/02-Coins-and-a-Scale/02-Coins and a Scale - SOLUTION.ipynb
diff --git a/09-Riddles/Riddle Interview Problems/Riddle Interview Problems /02-Coins and a Scale .ipynb b/09-Riddles/Riddle Interview Problems/02-Coins-and-a-Scale/02-Coins and a Scale .ipynb
similarity index 100%
rename from 09-Riddles/Riddle Interview Problems/Riddle Interview Problems /02-Coins and a Scale .ipynb
rename to 09-Riddles/Riddle Interview Problems/02-Coins-and-a-Scale/02-Coins and a Scale .ipynb
diff --git a/09-Riddles/Riddle Interview Problems/Riddle Interview Problems - SOLUTIONS/03-Egg Drop - SOLUTION.ipynb b/09-Riddles/Riddle Interview Problems/03-Egg-Drop/03-Egg Drop - SOLUTION.ipynb
similarity index 100%
rename from 09-Riddles/Riddle Interview Problems/Riddle Interview Problems - SOLUTIONS/03-Egg Drop - SOLUTION.ipynb
rename to 09-Riddles/Riddle Interview Problems/03-Egg-Drop/03-Egg Drop - SOLUTION.ipynb
diff --git a/09-Riddles/Riddle Interview Problems/Riddle Interview Problems /03-Egg Drop .ipynb b/09-Riddles/Riddle Interview Problems/03-Egg-Drop/03-Egg Drop .ipynb
similarity index 100%
rename from 09-Riddles/Riddle Interview Problems/Riddle Interview Problems /03-Egg Drop .ipynb
rename to 09-Riddles/Riddle Interview Problems/03-Egg-Drop/03-Egg Drop .ipynb
diff --git a/09-Riddles/Riddle Interview Problems/Riddle Interview Problems - SOLUTIONS/04-Hallway Lockers -SOLUTION.ipynb b/09-Riddles/Riddle Interview Problems/04-Hallway-Lockers/04-Hallway Lockers -SOLUTION.ipynb
similarity index 100%
rename from 09-Riddles/Riddle Interview Problems/Riddle Interview Problems - SOLUTIONS/04-Hallway Lockers -SOLUTION.ipynb
rename to 09-Riddles/Riddle Interview Problems/04-Hallway-Lockers/04-Hallway Lockers -SOLUTION.ipynb
diff --git a/09-Riddles/Riddle Interview Problems/Riddle Interview Problems /04-Hallway Lockers.ipynb b/09-Riddles/Riddle Interview Problems/04-Hallway-Lockers/04-Hallway Lockers.ipynb
similarity index 100%
rename from 09-Riddles/Riddle Interview Problems/Riddle Interview Problems /04-Hallway Lockers.ipynb
rename to 09-Riddles/Riddle Interview Problems/04-Hallway-Lockers/04-Hallway Lockers.ipynb
diff --git a/09-Riddles/Riddle Interview Problems/Riddle Interview Problems - SOLUTIONS/05-Jugs of Water - SOLUTION.ipynb b/09-Riddles/Riddle Interview Problems/05-Jugs-of-Water/05-Jugs of Water - SOLUTION.ipynb
similarity index 100%
rename from 09-Riddles/Riddle Interview Problems/Riddle Interview Problems - SOLUTIONS/05-Jugs of Water - SOLUTION.ipynb
rename to 09-Riddles/Riddle Interview Problems/05-Jugs-of-Water/05-Jugs of Water - SOLUTION.ipynb
diff --git a/09-Riddles/Riddle Interview Problems/Riddle Interview Problems /05-Jugs of Water .ipynb b/09-Riddles/Riddle Interview Problems/05-Jugs-of-Water/05-Jugs of Water .ipynb
similarity index 100%
rename from 09-Riddles/Riddle Interview Problems/Riddle Interview Problems /05-Jugs of Water .ipynb
rename to 09-Riddles/Riddle Interview Problems/05-Jugs-of-Water/05-Jugs of Water .ipynb
diff --git a/09-Riddles/Riddle Interview Problems/Riddle Interview Problems - SOLUTIONS/06-Light Switches - SOLUTION.ipynb b/09-Riddles/Riddle Interview Problems/06-Light-Switches/06-Light Switches - SOLUTION.ipynb
similarity index 100%
rename from 09-Riddles/Riddle Interview Problems/Riddle Interview Problems - SOLUTIONS/06-Light Switches - SOLUTION.ipynb
rename to 09-Riddles/Riddle Interview Problems/06-Light-Switches/06-Light Switches - SOLUTION.ipynb
diff --git a/09-Riddles/Riddle Interview Problems/Riddle Interview Problems /06-Light Switches .ipynb b/09-Riddles/Riddle Interview Problems/06-Light-Switches/06-Light Switches .ipynb
similarity index 100%
rename from 09-Riddles/Riddle Interview Problems/Riddle Interview Problems /06-Light Switches .ipynb
rename to 09-Riddles/Riddle Interview Problems/06-Light-Switches/06-Light Switches .ipynb
diff --git a/09-Riddles/Riddle Interview Problems/Riddle Interview Problems - SOLUTIONS/07-Ropes Burning - SOLUTION.ipynb b/09-Riddles/Riddle Interview Problems/07-Ropes-Burning/07-Ropes Burning - SOLUTION.ipynb
similarity index 100%
rename from 09-Riddles/Riddle Interview Problems/Riddle Interview Problems - SOLUTIONS/07-Ropes Burning - SOLUTION.ipynb
rename to 09-Riddles/Riddle Interview Problems/07-Ropes-Burning/07-Ropes Burning - SOLUTION.ipynb
diff --git a/09-Riddles/Riddle Interview Problems/Riddle Interview Problems /07-Ropes Burning.ipynb b/09-Riddles/Riddle Interview Problems/07-Ropes-Burning/07-Ropes Burning.ipynb
similarity index 100%
rename from 09-Riddles/Riddle Interview Problems/Riddle Interview Problems /07-Ropes Burning.ipynb
rename to 09-Riddles/Riddle Interview Problems/07-Ropes-Burning/07-Ropes Burning.ipynb
diff --git a/09-Riddles/Riddle Interview Problems/Riddle Interview Problems - SOLUTIONS/.ipynb_checkpoints/01-Bridge Crossing - SOLUTION-checkpoint.ipynb b/09-Riddles/Riddle Interview Problems/Riddle Interview Problems - SOLUTIONS/.ipynb_checkpoints/01-Bridge Crossing - SOLUTION-checkpoint.ipynb
deleted file mode 100644
index babeb820..00000000
--- a/09-Riddles/Riddle Interview Problems/Riddle Interview Problems - SOLUTIONS/.ipynb_checkpoints/01-Bridge Crossing - SOLUTION-checkpoint.ipynb	
+++ /dev/null
@@ -1,66 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Bridge Crossing - SOLUTION"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Problem Statement\n",
-    "\n",
-    "A group of four travelers comes to a bridge at night. The bridge can hold the weight of at most only two of the travelers at a time, and it can- not be crossed without using a flashlight. \n",
-    "\n",
-    "The travelers have one flashlight among them. Each traveler walks at a different speed: The first can cross the bridge in 1 minute, the second in 2 minutes, the third in 5 minutes, and the fourth takes 10 minutes to cross the bridge. If two travelers cross together, they walk at the speed of the slower traveler.\n",
-    "\n",
-    "What is the least amount of time in which all the travelers can cross from one side of the bridge to the other?\n",
-    "\n",
-    "## Solution\n",
-    "\n",
-    "This is part of a common group of [river crossing](https://en.wikipedia.org/wiki/River_crossing_puzzle) puzzles. Its know as the [Bridge and Torch problem](https://en.wikipedia.org/wiki/Bridge_and_torch_problem) (sometimes the times assigned to each person are different).\n",
-    "\n",
-    "The solution to this version is:\n",
-    "<table class=\"p4table width50\">\n",
-    "<tr><th>Move</th><th>Time</th>\n",
-    "</tr>\n",
-    "<tr><td>(1) &amp; (2) Cross with Torch</td><td>2</td>\n",
-    "</tr>\n",
-    "<tr><td>(1) Returns with Torch</td><td>1</td>\n",
-    "</tr>\n",
-    "<tr><td>(5) &amp; (10) Cross with Torch</td><td>10</td>\n",
-    "</tr>\n",
-    "<tr><td>(2) Returns with Torch</td><td>2</td>\n",
-    "</tr>\n",
-    "<tr><td>(1) &amp; (2) Cross with Torch</td><td>2</td>\n",
-    "</tr>\n",
-    "<tr><td>&nbsp;</td><th>17</th></tr>\n",
-    "</table>"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.8.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 1
-}
diff --git a/09-Riddles/Riddle Interview Problems/Riddle Interview Problems - SOLUTIONS/.ipynb_checkpoints/02-Coins and a Scale - SOLUTION-checkpoint.ipynb b/09-Riddles/Riddle Interview Problems/Riddle Interview Problems - SOLUTIONS/.ipynb_checkpoints/02-Coins and a Scale - SOLUTION-checkpoint.ipynb
deleted file mode 100644
index ab9c39c7..00000000
--- a/09-Riddles/Riddle Interview Problems/Riddle Interview Problems - SOLUTIONS/.ipynb_checkpoints/02-Coins and a Scale - SOLUTION-checkpoint.ipynb	
+++ /dev/null
@@ -1,39 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Coins and a Scale - SOLUTION\n",
-    "## Problem Statement\n",
-    "\n",
-    "You have eight coins and a two-pan scale. All the coins weigh the same, **except for one** which is heavier than all the others. The coins are otherwise indistinguishable. You may make no assumptions about how much heavier the heavy coin is. What is the minimum number of weighings needed to be certain of identifying the heavy coin?\n",
-    "\n",
-    "## Solution\n",
-    "\n",
-    "Begin by dividing the coins into two groups of three, which you put on the scale, and one group of two, which you leave off. If the two sides weigh the same, the heavy coin is in the group of two, and you can find it with one more weighing, for a total of two weighings. On the other hand, if either side of the scale is heavier, the heavy coin must be in that group of three. You can eliminate all the other coins, and place one coin from this group on either side of the scale, leaving the third coin aside. If one side is heavier, it contains the heavy coin; if neither side is heavier, the heavy coin is the one you didn’t place on the scale. This is also a total of two weighings, so you can always find the heavy coin in a group of eight using two weighings."
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.8.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 1
-}
diff --git a/09-Riddles/Riddle Interview Problems/Riddle Interview Problems - SOLUTIONS/.ipynb_checkpoints/03-Egg Drop - SOLUTION-checkpoint.ipynb b/09-Riddles/Riddle Interview Problems/Riddle Interview Problems - SOLUTIONS/.ipynb_checkpoints/03-Egg Drop - SOLUTION-checkpoint.ipynb
deleted file mode 100644
index 0e19d09e..00000000
--- a/09-Riddles/Riddle Interview Problems/Riddle Interview Problems - SOLUTIONS/.ipynb_checkpoints/03-Egg Drop - SOLUTION-checkpoint.ipynb	
+++ /dev/null
@@ -1,73 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Egg Drop - SOLUTION\n",
-    "This is probably the most common brain teaser riddle out of the group, so really try to think algorithmically about this problem before looking at the solution!\n",
-    "\n",
-    "## Problem Statement\n",
-    "\n",
-    "A tower has 100 floors. You've been given two eggs. The eggs are strong enough that they can be dropped from a particular floor in the tower without breaking. You've been tasked to find the highest floor an egg can be dropped without breaking, in as few drops as possible. If an egg is dropped from above its target floor it will break. If it is dropped from that floor or below, it will be intact and you can test drop the egg again on another floor.\n",
-    "\n",
-    "Show algorithmically how you would go about doing this in as few drops as possible. (Your answer should be a number of the fewest drops needed for testing 2 eggs on 100 floors)\n",
-    "## Solution\n",
-    "\n",
-    "Start from the 10th floor and go up to floors in multiples of 10.\n",
-    "\n",
-    "If first egg breaks, say at 20th floor then you can check all the floors between 11th and 19th with the second egg to see which floor it will not break.\n",
-    "\n",
-    "In this case, the worst-case number of drops is 19. If the threshold was 99th floor, then you would have to drop the first egg 10 times and the second egg 9 times in linear fashion.\n",
-    "\n",
-    "**Best solution:**\n",
-    "We need to minimize this worst-case number of drops. For that, we need to generalize the problem to have n floors. What would be the step value, for the first egg? Would it still be 10? Suppose we have 200 floors. Would the step value be still 10? \n",
-    "\n",
-    "The point to note here is that we are trying to minimize the worst-case number of drops which happens if the threshold is at the highest floors. So, our steps should be of some value which reduces the number of drops of the first egg.\n",
-    "\n",
-    "Let's assume we take some step value m initially. If every subsequent step is m-1,\n",
-    "then, \n",
-    "$$m+m−1+m−2+.....+1=n$$\n",
-    "\n",
-    "This is \n",
-    "\n",
-    "$$\\frac{m∗(m+1)}{2}=n$$\n",
-    "\n",
-    "If n =100, then m would be 13.65 which since we can't drop from a decimal of a floor, we actually use 14.\n",
-    "\n",
-    "So, the worst case scenario is now when the threshold is in the first 14 floors with number of drops being 14.\n",
-    "\n",
-    "Note that this is simply a binary search!"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "___\n",
-    "You can find plenty of other explanations by simply googling \"2 eggs 100 floors\""
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.8.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 1
-}
diff --git a/09-Riddles/Riddle Interview Problems/Riddle Interview Problems - SOLUTIONS/.ipynb_checkpoints/04-Hallway Lockers -SOLUTION-checkpoint.ipynb b/09-Riddles/Riddle Interview Problems/Riddle Interview Problems - SOLUTIONS/.ipynb_checkpoints/04-Hallway Lockers -SOLUTION-checkpoint.ipynb
deleted file mode 100644
index a51dc1b4..00000000
--- a/09-Riddles/Riddle Interview Problems/Riddle Interview Problems - SOLUTIONS/.ipynb_checkpoints/04-Hallway Lockers -SOLUTION-checkpoint.ipynb	
+++ /dev/null
@@ -1,63 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Hallway Lockers - SOLUTION\n",
-    "## Problem Statement\n",
-    "\n",
-    "You are in a hallway lined with 100 lockers. You start with one pass and open the lockers, so that the *opened* lockers are now with their doors opened out. You begin by closing **every second** locker. Then you go to close **every third** locker and **close it if it is open or open it if it’s closed** — we will refer to this as \"toggling\" the lockers. You continue toggling every nth locker on pass number n. After your hundredth pass of the hallway, in which you toggle only locker number 100, how many lockers are open?\n",
-    "\n",
-    "## Solution\n",
-    "\n",
-    "Obviously you can't just brute force and count out this problem, there are just too many passes, so we will need to think about this algorithmically.\n",
-    "\n",
-    "Let's begin solving this problem by choosing an arbitrary locker and see if we can detect a pattern. Let's choose locker 12, it has been toggled open on your first pass.\n",
-    "\n",
-    "To start off we know we won't have to toggle it on any pass greater than 12. So now we only have to think of the passes that occur on 2-11. We can actualy count these out:\n",
-    "\n",
-    "* On pass 2: 2,4,6,8,10,12\n",
-    "* On pass 3: 3,6,9,12\n",
-    "* On pass 4: 4,8,12\n",
-    "* On pass 5: 5,10 **No toggle on this pass**\n",
-    "* On pass 6: 6,12\n",
-    "* On pass 7: 7,14 **No toggle on this pass**\n",
-    "* ect...\n",
-    "\n",
-    "You'll notice the pattern that emerges, we only toggle the locker when the pass number is a factor of the locker number. We can begin to make the generalization that all lockers started open after the first pass and alternate between being open and closed. So lockers are closed after the second, fourth, sixth, and so on, times they are toggled — in other words, if a locker is toggled an even number of times, then it ends closed; otherwise, it ends open. You know that a locker is toggled once for every factor of the locker number, so you can say that a locker ends open only if it has an odd number of factors.\n",
-    "\n",
-    "**The task has now been reduced to finding how many numbers between 1 and 100 have an odd number of factors!**\n",
-    "____\n",
-    "\n",
-    "We can think about this in the following manner:\n",
-    "\n",
-    "If a number **i** is a factor of **n**, what does that mean? It means that **i** times some other number **j** is equal to n. Because multiplication is commutative (i × j = j × i), that means that j is a factor of n, too, so the number of factors is usually even because factors tend to come in pairs. If you can find the numbers that have unpaired factors, you will know which lockers will be open. Multiplication is a binary operation, so two numbers will always be involved, but what if they are both the same number (that is, i = j)? In that case, a single number would effectively form both halves of the pair, and there would be an odd number of factors. When this is the case, i × i = n. Therefore, n must be a perfect square. Try a perfect square to check this solution. For example,\n",
-    "for 16, the factors are 1, 2, 4, 8, 16; operations are open, close, open, close, open — as expected, it ends open.\n",
-    "\n",
-    "Based on this reasoning, you can conclude that only lockers with numbers that are perfect squares end up open. The perfect squares between 1 and 100 (inclusive) are 1, 4, 9, 16, 25, 36, 49, 64, 81, and 100. So 10 lockers would remain open."
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.8.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 1
-}
diff --git a/09-Riddles/Riddle Interview Problems/Riddle Interview Problems - SOLUTIONS/.ipynb_checkpoints/05-Jugs of Water - SOLUTION-checkpoint.ipynb b/09-Riddles/Riddle Interview Problems/Riddle Interview Problems - SOLUTIONS/.ipynb_checkpoints/05-Jugs of Water - SOLUTION-checkpoint.ipynb
deleted file mode 100644
index a5577345..00000000
--- a/09-Riddles/Riddle Interview Problems/Riddle Interview Problems - SOLUTIONS/.ipynb_checkpoints/05-Jugs of Water - SOLUTION-checkpoint.ipynb	
+++ /dev/null
@@ -1,110 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Jugs of Water - SOLUTION\n",
-    "## Problem Statement\n",
-    "\n",
-    "You have a five gallons jug and a three gallons jug, and an unlimited supply of water (but no measuring cups) How would you come up with exactly four gallons of water?\n",
-    "\n",
-    "## Solution\n",
-    "\n",
-    "This problem has a cameo in the movie Die Hard 3. The solution is below:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<img src=\"http://mindyourdecisions.com/blog/wp-content/uploads/2013/02/water-jug-riddle-1.png/"/>"
-      ],
-      "text/plain": [
-       "<IPython.core.display.Image object>"
-      ]
-     },
-     "execution_count": 1,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "from IPython.display import Image\n",
-    "Image(url='http://mindyourdecisions.com/blog/wp-content/uploads/2013/02/water-jug-riddle-1.png')"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Hopefully your interviews are not as stressful as this:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/jpeg": "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\n",
-      "text/html": [
-       "\n",
-       "        <iframe\n",
-       "            width=\"400\"\n",
-       "            height=\"300\"\n",
-       "            src=\"https://www.youtube.com/embed/BVtQNK_ZUJg/"\n",
-       "            frameborder=\"0\"\n",
-       "            allowfullscreen\n",
-       "        ></iframe>\n",
-       "        "
-      ],
-      "text/plain": [
-       "<IPython.lib.display.YouTubeVideo at 0x7f70f0491550>"
-      ]
-     },
-     "execution_count": 2,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "from IPython.display import YouTubeVideo\n",
-    "YouTubeVideo('BVtQNK_ZUJg')"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Yippee Ki Yay"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.8.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 1
-}
diff --git a/09-Riddles/Riddle Interview Problems/Riddle Interview Problems - SOLUTIONS/.ipynb_checkpoints/06-Light Switches - SOLUTION-checkpoint.ipynb b/09-Riddles/Riddle Interview Problems/Riddle Interview Problems - SOLUTIONS/.ipynb_checkpoints/06-Light Switches - SOLUTION-checkpoint.ipynb
deleted file mode 100644
index aac7e69d..00000000
--- a/09-Riddles/Riddle Interview Problems/Riddle Interview Problems - SOLUTIONS/.ipynb_checkpoints/06-Light Switches - SOLUTION-checkpoint.ipynb	
+++ /dev/null
@@ -1,47 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Light Switches - SOLUTION\n",
-    "## Problem Statement\n",
-    "\n",
-    "You are in a hallway next to three light switches, all of which are off. Each switch activates a different *incandescent* light bulb in the room at the end of the hall. You cannot see the lights from where the switches are. Your task is to determine which light corresponds to each switch. However, you may go into the room with the lights only once.\n",
-    "\n",
-    "**Note: This is a \"trick\" question, so don't spend too much time on it. Although it is more on the \"fun\" side of brain teaser type questions.**\n",
-    "\n",
-    "## Solution\n",
-    "\n",
-    "This is a bit of a trick question and hopefully you don't get asked this type of question in an interview, since its not really math or logic based. The solution is to realize that you can leave an *incandescent* light bulb on for awhile until it heats up. \n",
-    "\n",
-    "So the solution is to turn on switch 1 and wait for 15 minutes until that corrresponding bulb is hot. Then turn it off and turn on switch 2 then head to the room. Then you know that:\n",
-    "\n",
-    "* The bulb which is hot corresponds to switch 1\n",
-    "* The bulb which is on corresponds to switch 2\n",
-    "* The bulb which is off corresponds to switch 3"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.8.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 1
-}
diff --git a/09-Riddles/Riddle Interview Problems/Riddle Interview Problems - SOLUTIONS/.ipynb_checkpoints/07-Ropes Burning - SOLUTION-checkpoint.ipynb b/09-Riddles/Riddle Interview Problems/Riddle Interview Problems - SOLUTIONS/.ipynb_checkpoints/07-Ropes Burning - SOLUTION-checkpoint.ipynb
deleted file mode 100644
index 182865ea..00000000
--- a/09-Riddles/Riddle Interview Problems/Riddle Interview Problems - SOLUTIONS/.ipynb_checkpoints/07-Ropes Burning - SOLUTION-checkpoint.ipynb	
+++ /dev/null
@@ -1,49 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Ropes Burning - SOLUTION\n",
-    "## Problem Statement\n",
-    "\n",
-    "You have two ropes. Each takes exactly 60 minutes to burn.\n",
-    "\n",
-    "They are made of different material so even though they take the same amount of time to burn, they burn at separate rates. In addition, each rope burns inconsistently.\n",
-    "\n",
-    "How do you measure out exactly 45 minutes?\n",
-    "\n",
-    "## Solution\n",
-    "\n",
-    "Take one rope and burn it at both ends.\n",
-    "\n",
-    "At the same time, burn one end of the other rope.\n",
-    "\n",
-    "When the first rope finishes burning, light the other end of the remaining rope.\n",
-    "\n",
-    "When it burns out, that's 45 minutes."
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.8.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 1
-}
diff --git a/09-Riddles/Riddle Interview Problems/Riddle Interview Problems /.ipynb_checkpoints/01-Bridge Crossing-checkpoint.ipynb b/09-Riddles/Riddle Interview Problems/Riddle Interview Problems /.ipynb_checkpoints/01-Bridge Crossing-checkpoint.ipynb
deleted file mode 100644
index bf2f5ac0..00000000
--- a/09-Riddles/Riddle Interview Problems/Riddle Interview Problems /.ipynb_checkpoints/01-Bridge Crossing-checkpoint.ipynb	
+++ /dev/null
@@ -1,46 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Bridge Crossing"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Problem Statement\n",
-    "\n",
-    "A group of four travelers comes to a bridge at night. The bridge can hold the weight of at most only two of the travelers at a time, and it can- not be crossed without using a flashlight. \n",
-    "\n",
-    "The travelers have one flashlight among them. Each traveler walks at a different speed: The first can cross the bridge in 1 minute, the second in 2 minutes, the third in 5 minutes, and the fourth takes 10 minutes to cross the bridge. If two travelers cross together, they walk at the speed of the slower traveler.\n",
-    "\n",
-    "What is the least amount of time in which all the travelers can cross from one side of the bridge to the other?\n",
-    "\n"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.8.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 1
-}
diff --git a/09-Riddles/Riddle Interview Problems/Riddle Interview Problems /.ipynb_checkpoints/02-Coins and a Scale -checkpoint.ipynb b/09-Riddles/Riddle Interview Problems/Riddle Interview Problems /.ipynb_checkpoints/02-Coins and a Scale -checkpoint.ipynb
deleted file mode 100644
index fc651052..00000000
--- a/09-Riddles/Riddle Interview Problems/Riddle Interview Problems /.ipynb_checkpoints/02-Coins and a Scale -checkpoint.ipynb	
+++ /dev/null
@@ -1,35 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Coins and a Scale \n",
-    "## Problem Statement\n",
-    "\n",
-    "You have eight coins and a two-pan scale. All the coins weigh the same, **except for one** which is heavier than all the others. The coins are otherwise indistinguishable. You may make no assumptions about how much heavier the heavy coin is. What is the minimum number of weighings needed to be certain of identifying the heavy coin?"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.8.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 1
-}
diff --git a/09-Riddles/Riddle Interview Problems/Riddle Interview Problems /.ipynb_checkpoints/03-Egg Drop -checkpoint.ipynb b/09-Riddles/Riddle Interview Problems/Riddle Interview Problems /.ipynb_checkpoints/03-Egg Drop -checkpoint.ipynb
deleted file mode 100644
index 4b9a3c20..00000000
--- a/09-Riddles/Riddle Interview Problems/Riddle Interview Problems /.ipynb_checkpoints/03-Egg Drop -checkpoint.ipynb	
+++ /dev/null
@@ -1,38 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Egg Drop \n",
-    "This is probably the most common brain teaser riddle out of the group, so really try to think algorithmically about this problem before looking at the solution!\n",
-    "## Problem Statement\n",
-    "\n",
-    "A tower has 100 floors. You've been given two eggs. The eggs are strong enough that they can be dropped from a particular floor in the tower without breaking. You've been tasked to find the highest floor an egg can be dropped without breaking, in as few drops as possible. If an egg is dropped from above its target floor it will break. If it is dropped from that floor or below, it will be intact and you can test drop the egg again on another floor.\n",
-    "\n",
-    "Show algorithmically how you would go about doing this in as few drops as possible. (Your answer should be a number of the fewest drops needed for testing 2 eggs on 100 floors)"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.8.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 1
-}
diff --git a/09-Riddles/Riddle Interview Problems/Riddle Interview Problems /.ipynb_checkpoints/04-Hallway Lockers-checkpoint.ipynb b/09-Riddles/Riddle Interview Problems/Riddle Interview Problems /.ipynb_checkpoints/04-Hallway Lockers-checkpoint.ipynb
deleted file mode 100644
index 8495c76f..00000000
--- a/09-Riddles/Riddle Interview Problems/Riddle Interview Problems /.ipynb_checkpoints/04-Hallway Lockers-checkpoint.ipynb	
+++ /dev/null
@@ -1,35 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Hallway Lockers\n",
-    "## Problem Statement\n",
-    "\n",
-    "You are in a hallway lined with 100 lockers. You start with one pass and open the lockers, so that the *opened* lockers are now with their doors opened out. You begin by closing **every second** locker. Then you go to close **every third** locker and **close it if it is open or open it if it’s closed** — we will refer to this as \"toggling\" the lockers. You continue toggling every nth locker on pass number n. After your hundredth pass of the hallway, in which you toggle only locker number 100, how many lockers are open?\n"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.8.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 1
-}
diff --git a/09-Riddles/Riddle Interview Problems/Riddle Interview Problems /.ipynb_checkpoints/05-Jugs of Water -checkpoint.ipynb b/09-Riddles/Riddle Interview Problems/Riddle Interview Problems /.ipynb_checkpoints/05-Jugs of Water -checkpoint.ipynb
deleted file mode 100644
index 878051e3..00000000
--- a/09-Riddles/Riddle Interview Problems/Riddle Interview Problems /.ipynb_checkpoints/05-Jugs of Water -checkpoint.ipynb	
+++ /dev/null
@@ -1,35 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Jugs of Water \n",
-    "## Problem Statement\n",
-    "\n",
-    "You have a five gallons jug and a three gallons jug, and an unlimited supply of water (but no measuring cups) How would you come up with exactly four gallons of water?"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.8.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 1
-}
diff --git a/09-Riddles/Riddle Interview Problems/Riddle Interview Problems /.ipynb_checkpoints/06-Light Switches -checkpoint.ipynb b/09-Riddles/Riddle Interview Problems/Riddle Interview Problems /.ipynb_checkpoints/06-Light Switches -checkpoint.ipynb
deleted file mode 100644
index 2d68143c..00000000
--- a/09-Riddles/Riddle Interview Problems/Riddle Interview Problems /.ipynb_checkpoints/06-Light Switches -checkpoint.ipynb	
+++ /dev/null
@@ -1,37 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Light Switches\n",
-    "## Problem Statement\n",
-    "\n",
-    "You are in a hallway next to three light switches, all of which are off. Each switch activates a different *incandescent* light bulb in the room at the end of the hall. You cannot see the lights from where the switches are. Your task is to determine which light corresponds to each switch. However, you may go into the room with the lights only once.\n",
-    "\n",
-    "**Note: This is a bit of \"trick\" question, so don't spend too much time on it. Although it is more on the \"fun\" side of brain teaser type questions.**\n"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.8.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 1
-}
diff --git a/09-Riddles/Riddle Interview Problems/Riddle Interview Problems /.ipynb_checkpoints/07-Ropes Burning-checkpoint.ipynb b/09-Riddles/Riddle Interview Problems/Riddle Interview Problems /.ipynb_checkpoints/07-Ropes Burning-checkpoint.ipynb
deleted file mode 100644
index 6dd17500..00000000
--- a/09-Riddles/Riddle Interview Problems/Riddle Interview Problems /.ipynb_checkpoints/07-Ropes Burning-checkpoint.ipynb	
+++ /dev/null
@@ -1,39 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Ropes Burning \n",
-    "## Problem Statement\n",
-    "\n",
-    "You have two ropes. Each takes exactly 60 minutes to burn.\n",
-    "\n",
-    "They are made of different material so even though they take the same amount of time to burn, they burn at separate rates. In addition, each rope burns inconsistently.\n",
-    "\n",
-    "How do you measure out exactly 45 minutes?"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.8.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 1
-}
diff --git a/10-Mock Interviews/01-Large E-Commerce Company/E-Commerce Company - Interview Problems - SOLUTIONS/01-On-Site Question 1 - SOLUTION.ipynb b/10-Mock Interviews/01-Large E-Commerce Company/01-On-Site-Question-1/01-On-Site Question 1 - SOLUTION.ipynb
similarity index 100%
rename from 10-Mock Interviews/01-Large E-Commerce Company/E-Commerce Company - Interview Problems - SOLUTIONS/01-On-Site Question 1 - SOLUTION.ipynb
rename to 10-Mock Interviews/01-Large E-Commerce Company/01-On-Site-Question-1/01-On-Site Question 1 - SOLUTION.ipynb
diff --git a/10-Mock Interviews/01-Large E-Commerce Company/E-Commerce Company - Interview Problems/01-On-Site Question 1.ipynb b/10-Mock Interviews/01-Large E-Commerce Company/01-On-Site-Question-1/01-On-Site Question 1.ipynb
similarity index 100%
rename from 10-Mock Interviews/01-Large E-Commerce Company/E-Commerce Company - Interview Problems/01-On-Site Question 1.ipynb
rename to 10-Mock Interviews/01-Large E-Commerce Company/01-On-Site-Question-1/01-On-Site Question 1.ipynb
diff --git a/10-Mock Interviews/01-Large E-Commerce Company/E-Commerce Company - Interview Problems - SOLUTIONS/02-On-Site Question 2 - SOLUTION.ipynb b/10-Mock Interviews/01-Large E-Commerce Company/02-On-Site-Question-2/02-On-Site Question 2 - SOLUTION.ipynb
similarity index 100%
rename from 10-Mock Interviews/01-Large E-Commerce Company/E-Commerce Company - Interview Problems - SOLUTIONS/02-On-Site Question 2 - SOLUTION.ipynb
rename to 10-Mock Interviews/01-Large E-Commerce Company/02-On-Site-Question-2/02-On-Site Question 2 - SOLUTION.ipynb
diff --git a/10-Mock Interviews/01-Large E-Commerce Company/E-Commerce Company - Interview Problems/02-On-Site Question 2 .ipynb b/10-Mock Interviews/01-Large E-Commerce Company/02-On-Site-Question-2/02-On-Site Question 2 .ipynb
similarity index 100%
rename from 10-Mock Interviews/01-Large E-Commerce Company/E-Commerce Company - Interview Problems/02-On-Site Question 2 .ipynb
rename to 10-Mock Interviews/01-Large E-Commerce Company/02-On-Site-Question-2/02-On-Site Question 2 .ipynb
diff --git a/10-Mock Interviews/01-Large E-Commerce Company/E-Commerce Company - Interview Problems - SOLUTIONS/03-On-Site Question 3 - SOLUTION.ipynb b/10-Mock Interviews/01-Large E-Commerce Company/03-On-Site-Question-3/03-On-Site Question 3 - SOLUTION.ipynb
similarity index 100%
rename from 10-Mock Interviews/01-Large E-Commerce Company/E-Commerce Company - Interview Problems - SOLUTIONS/03-On-Site Question 3 - SOLUTION.ipynb
rename to 10-Mock Interviews/01-Large E-Commerce Company/03-On-Site-Question-3/03-On-Site Question 3 - SOLUTION.ipynb
diff --git a/10-Mock Interviews/01-Large E-Commerce Company/E-Commerce Company - Interview Problems/03-On-Site Question 3.ipynb b/10-Mock Interviews/01-Large E-Commerce Company/03-On-Site-Question-3/03-On-Site Question 3.ipynb
similarity index 100%
rename from 10-Mock Interviews/01-Large E-Commerce Company/E-Commerce Company - Interview Problems/03-On-Site Question 3.ipynb
rename to 10-Mock Interviews/01-Large E-Commerce Company/03-On-Site-Question-3/03-On-Site Question 3.ipynb
diff --git a/10-Mock Interviews/01-Large E-Commerce Company/E-Commerce Company - Interview Problems - SOLUTIONS/04-Phone Screen - SOLUTION.ipynb b/10-Mock Interviews/01-Large E-Commerce Company/04-Phone-Screen/04-Phone Screen - SOLUTION.ipynb
similarity index 100%
rename from 10-Mock Interviews/01-Large E-Commerce Company/E-Commerce Company - Interview Problems - SOLUTIONS/04-Phone Screen - SOLUTION.ipynb
rename to 10-Mock Interviews/01-Large E-Commerce Company/04-Phone-Screen/04-Phone Screen - SOLUTION.ipynb
diff --git a/10-Mock Interviews/01-Large E-Commerce Company/E-Commerce Company - Interview Problems/04-Phone Screen .ipynb b/10-Mock Interviews/01-Large E-Commerce Company/04-Phone-Screen/04-Phone Screen .ipynb
similarity index 100%
rename from 10-Mock Interviews/01-Large E-Commerce Company/E-Commerce Company - Interview Problems/04-Phone Screen .ipynb
rename to 10-Mock Interviews/01-Large E-Commerce Company/04-Phone-Screen/04-Phone Screen .ipynb
diff --git a/10-Mock Interviews/01-Large E-Commerce Company/E-Commerce Company - Interview Problems - SOLUTIONS/.ipynb_checkpoints/01-On-Site Question 1 - SOLUTION-checkpoint.ipynb b/10-Mock Interviews/01-Large E-Commerce Company/E-Commerce Company - Interview Problems - SOLUTIONS/.ipynb_checkpoints/01-On-Site Question 1 - SOLUTION-checkpoint.ipynb
deleted file mode 100644
index a1f784f2..00000000
--- a/10-Mock Interviews/01-Large E-Commerce Company/E-Commerce Company - Interview Problems - SOLUTIONS/.ipynb_checkpoints/01-On-Site Question 1 - SOLUTION-checkpoint.ipynb	
+++ /dev/null
@@ -1,222 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# On-Site Question 1 - SOLUTION\n",
-    "\n",
-    "## Problem\n",
-    "\n",
-    "** You've been given a list of historical stock prices for a single day for Amazon stock. The index of the list represents the timestamp, so the element at index of 0 is the initial price of the stock, the element at index 1 is the next recorded price of the stock for that day, etc. Your task is to write a function that will return the maximum profit possible from the purchase and sale of a single share of Amazon stock on that day. Keep in mind to try to make this as efficient as possible.**\n",
-    "\n",
-    "\n",
-    "For example, if you were given the list of stock prices:\n",
-    "\n",
-    "prices = [12,11,15,3,10]\n",
-    "\n",
-    "Then your function would return the maximum possible profit, which would be 7 (buying at 3 and selling at 10).\n",
-    "\n",
-    "## Requirements\n",
-    "\n",
-    "** Try to solve this problem with paper/pencil first without using an IDE. Also keep in mind you should be able to come up with a better solution than just brute forcing every possible sale combination **\n",
-    "\n",
-    "** Also you can't \"short\" a stock, you must buy *before* you sell the stock. **"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {
-    "collapsed": true
-   },
-   "source": [
-    "## Solution\n",
-    "\n",
-    "Let's think about a few things before we start coding. One thing to think about right off the bat is that we can't just find the maximum price and the lowest price and then subtract the two, because the max could come before the min.\n",
-    "\n",
-    "The brute force method would be to try every possible pair of price combinations, but this would be O(N^2), pretty bad. Also since this is an interview setting you should probably already know that there is a smarter solution.\n",
-    "\n",
-    "In this case we will use a [greedy algorithm](https://en.wikipedia.org/wiki/Greedy_algorithm) approach. We will iterate through the list of stock prices while keeping track of our maximum profit.\n",
-    "\n",
-    "That means for every price we will keep track of the lowest price so far and then check if we can get a better profit than our current max.\n",
-    "\n",
-    "Let's see an implementation of this:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def profit(stock_prices):\n",
-    "    \n",
-    "    # Start minimum price marker at first price\n",
-    "    min_stock_price = stock_prices[0]\n",
-    "    \n",
-    "    # Start off with a profit of zero\n",
-    "    max_profit = 0\n",
-    "    \n",
-    "    for price in stock_prices:\n",
-    "        \n",
-    "        # Check to set the lowest stock price so far\n",
-    "        min_stock_price = min(min_stock_price,price)\n",
-    "        \n",
-    "        # Check the current price against our minimum for a profit \n",
-    "        # comparison against the max_profit\n",
-    "        comparison_profit = price - min_stock_price\n",
-    "        \n",
-    "        # Compare against our max_profit so far\n",
-    "        max_profit = max(max_profit,comparison_profit)\n",
-    "        \n",
-    "    return max_profit"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "39"
-      ]
-     },
-     "execution_count": 2,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "profit([10,12,14,12,13,11,8,7,6,13,23,45,11,10])"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Currently we're finding the max profit in one pass O(n) and in constant space O(1). However, we still aren't thinking about any edge cases. For example, we need to address the following scenarios:\n",
-    "\n",
-    "* Stock price always goes down\n",
-    "* If there's less than two stock prices in the list.\n",
-    "\n",
-    "We can take care of the first scenario by returning a negative profit if the price decreases all day (that way we can know how much we lost). And the second issue can be solved with a quick **len()** check. Let's see the full solution:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def profit2(stock_prices):\n",
-    "    \n",
-    "    # Check length\n",
-    "    if len(stock_prices) < 2:\n",
-    "        raise Exception('Need at least two stock prices!')\n",
-    "    \n",
-    "    # Start minimum price marker at first price\n",
-    "    min_stock_price = stock_prices[0]\n",
-    "    \n",
-    "    # Start off with an initial max profit\n",
-    "    max_profit = stock_prices[1] - stock_prices[0]\n",
-    "    \n",
-    "    # Skip first index of 0\n",
-    "    for price in stock_prices[1:]:\n",
-    "        \n",
-    "        \n",
-    "        # NOTE THE REORDERING HERE DUE TO THE NEGATIVE PROFIT TRACKING\n",
-    "        \n",
-    "        # Check the current price against our minimum for a profit \n",
-    "        # comparison against the max_profit\n",
-    "        comparison_profit = price - min_stock_price\n",
-    "        \n",
-    "        # Compare against our max_profit so far\n",
-    "        max_profit = max(max_profit,comparison_profit)\n",
-    "        \n",
-    "        # Check to set the lowest stock price so far\n",
-    "        min_stock_price = min(min_stock_price,price)\n",
-    "        \n",
-    "        \n",
-    "        \n",
-    "        \n",
-    "        \n",
-    "    return max_profit"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {},
-   "outputs": [
-    {
-     "ename": "Exception",
-     "evalue": "Need at least two stock prices!",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mException\u001b[0m                                 Traceback (most recent call last)",
-      "\u001b[0;32m<ipython-input-4-9a864ce32d12>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0;31m# Exception Raised\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m \u001b[0mprofit2\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
-      "\u001b[0;32m<ipython-input-3-7f5f7ac31f2e>\u001b[0m in \u001b[0;36mprofit2\u001b[0;34m(stock_prices)\u001b[0m\n\u001b[1;32m      3\u001b[0m     \u001b[0;31m# Check length\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      4\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mstock_prices\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m<\u001b[0m \u001b[0;36m2\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 5\u001b[0;31m         \u001b[0;32mraise\u001b[0m \u001b[0mException\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'Need at least two stock prices!'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      6\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      7\u001b[0m     \u001b[0;31m# Start minimum price marker at first price\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;31mException\u001b[0m: Need at least two stock prices!"
-     ]
-    }
-   ],
-   "source": [
-    "# Exception Raised\n",
-    "profit2([1])"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "-1"
-      ]
-     },
-     "execution_count": 5,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "profit2([30,22,21,5])"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Great! Now we can prepare for worst case scenarios. Its important to keep edge cases in mind, especially if you are able to solve the original question fairly quickly.\n",
-    "\n",
-    "# Good Job!"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.8.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 1
-}
diff --git a/10-Mock Interviews/01-Large E-Commerce Company/E-Commerce Company - Interview Problems - SOLUTIONS/.ipynb_checkpoints/02-On-Site Question 2 - SOLUTION-checkpoint.ipynb b/10-Mock Interviews/01-Large E-Commerce Company/E-Commerce Company - Interview Problems - SOLUTIONS/.ipynb_checkpoints/02-On-Site Question 2 - SOLUTION-checkpoint.ipynb
deleted file mode 100644
index ded3038f..00000000
--- a/10-Mock Interviews/01-Large E-Commerce Company/E-Commerce Company - Interview Problems - SOLUTIONS/.ipynb_checkpoints/02-On-Site Question 2 - SOLUTION-checkpoint.ipynb	
+++ /dev/null
@@ -1,158 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# On-Site Question 2 - SOLUTION\n",
-    "\n",
-    "## Problem\n",
-    "\n",
-    "** Given a list of integers, write a function that will return a list, in which for each index the element will be the product of all the integers except for the element at that index **\n",
-    "\n",
-    "**For example, an input of [1,2,3,4] would return [24,12,8,6] by performing [2×3×4,1×3×4,1×2×4,1×2×3] **\n",
-    "\n",
-    "## Requirements\n",
-    "\n",
-    "** You can not use division in your answer! Meaning you can't simply multiply all the numbers and then divide by eahc element for each index!**\n",
-    "\n",
-    "** Try to do this on a white board or with paper/pencil.**"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {
-    "collapsed": true
-   },
-   "source": [
-    "___\n",
-    "## Solution\n",
-    "\n",
-    "If you look at the list above with the multiplication you'll notice we are repeating multiplications, such as 2 times 3 or 3 times 4 for multiple entries in the new list. \n",
-    "\n",
-    "We'll want to take a greedy approach and keep track of these results for later re-use at other indices. We'll also need to think about what if a number is zero!\n",
-    "\n",
-    "In order to find the products of all the integers (except for the integer at that index) we will actually go through our list twice in a greedy fashion. \n",
-    "\n",
-    "On the first pass we will get the products of all the integers **before** each index, and then on the second pass we will go **backwards** to get the products of all the integers after each index.\n",
-    "\n",
-    "Then we just need to multiply all the products before and after each index in order to get the final product answer!\n",
-    "\n",
-    "Let's see this in action:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def index_prod(lst):\n",
-    "    \n",
-    "    # Create an empty output list\n",
-    "    output = [None] * len(lst)\n",
-    "    \n",
-    "    # Set initial product and index for greedy run forward\n",
-    "    product = 1\n",
-    "    i = 0\n",
-    "    \n",
-    "    while i < len(lst):\n",
-    "        \n",
-    "        # Set index as cumulative product\n",
-    "        output[i] = product\n",
-    "        \n",
-    "        # Cumulative product\n",
-    "        product *= lst[i]\n",
-    "        \n",
-    "        # Move forward\n",
-    "        i +=1\n",
-    "        \n",
-    "    \n",
-    "    # Now for our Greedy run Backwards\n",
-    "    product = 1\n",
-    "    \n",
-    "    # Start index at last (taking into account index 0)\n",
-    "    i = len(lst) - 1\n",
-    "    \n",
-    "    # Until the beginning of the list\n",
-    "    while i >=0:\n",
-    "        \n",
-    "        # Same operations as before, just backwards\n",
-    "        output[i] *= product\n",
-    "        product *= lst[i]\n",
-    "        i -= 1\n",
-    "        \n",
-    "    return output    "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "[24, 12, 8, 6]"
-      ]
-     },
-     "execution_count": 2,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "index_prod([1,2,3,4])"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "[24, 0, 0, 0, 0]"
-      ]
-     },
-     "execution_count": 3,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "index_prod([0,1,2,3,4])"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Review the solution and make sure you understand it!  It uses O(n) time and O(n) space complexity!\n",
-    "# Good Job!"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.8.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 1
-}
diff --git a/10-Mock Interviews/01-Large E-Commerce Company/E-Commerce Company - Interview Problems - SOLUTIONS/.ipynb_checkpoints/03-On-Site Question 3 - SOLUTION-checkpoint.ipynb b/10-Mock Interviews/01-Large E-Commerce Company/E-Commerce Company - Interview Problems - SOLUTIONS/.ipynb_checkpoints/03-On-Site Question 3 - SOLUTION-checkpoint.ipynb
deleted file mode 100644
index 79c21d9b..00000000
--- a/10-Mock Interviews/01-Large E-Commerce Company/E-Commerce Company - Interview Problems - SOLUTIONS/.ipynb_checkpoints/03-On-Site Question 3 - SOLUTION-checkpoint.ipynb	
+++ /dev/null
@@ -1,188 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# On-Site Question 3 - SOLUTION\n",
-    "\n",
-    "## Problem\n",
-    "\n",
-    "**Given two rectangles, determine if they overlap. The rectangles are defined as a Dictionary, for example:**"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "r1 = {\n",
-    "    \n",
-    "         # x and y coordinates of the bottom-left corner of the rectangle\n",
-    "         'x': 2 , 'y': 4,\n",
-    "         \n",
-    "         # Width and Height of rectangle\n",
-    "         'w':5,'h':12}"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "** If the rectangles do overlap, return the dictionary which describes the overlapping section**"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Requirements\n",
-    "\n",
-    "** Make sure the dictionary you output is in the same form as the input.**\n",
-    "\n",
-    "** Feel free to use an IDE for the code, but make sure you use paper/pencil or whiteboard to draw out your plan and logic**"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Solution\n",
-    "\n",
-    "This is a problem where it helps a lot to draw out your thinking. There are a few things we will need to think about:\n",
-    "\n",
-    "* How can we determine an intersection?\n",
-    "* What if a rectangle is fully inside another rectangle?\n",
-    "* What if there is no intersection, but the rectangles share an edge?\n",
-    "\n",
-    "The key to solving this problem is to *break it up in to sub-problems*. We can split up the problem into an x-axis problem and a y-axis problem. \n",
-    "\n",
-    "We will create a function that can detect overlap in 1 dimension. Then we will split the rectangles into x and width, and y and height components. We can then determine that if there is overlap on both dimensions, then the rectangles themselves intersect!\n",
-    "\n",
-    "In order to understand the **calc_overlap** function, draw out two flat lines and follow along with the function and notice how it detects an overlap!\n",
-    "\n",
-    "Let's begin by creating a general function to detect overlap in a single dimension:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def calc_overlap(coor1,dim1,coor2,dim2):\n",
-    "    \"\"\"\n",
-    "    Takes in 2 coordinates and their length in that dimension\n",
-    "    \"\"\"\n",
-    "    \n",
-    "    # Find greater of the two coordinates\n",
-    "    # (this is either the point to the most right\n",
-    "    #  or the higher point, depending on the dimension)\n",
-    "    \n",
-    "    # The greater point would be the start of the overlap\n",
-    "    greater = max(coor1,coor2)\n",
-    "    \n",
-    "    # The lower point is the end of the overlap\n",
-    "    lower = min(coor1+dim1,coor2+dim2)\n",
-    "    \n",
-    "    # Return a tuple of Nones if there is no overlap\n",
-    "    \n",
-    "    if greater >= lower:\n",
-    "        return (None,None)\n",
-    "    \n",
-    "    # Otherwise, get the overlap length\n",
-    "    overlap = lower-greater\n",
-    "    \n",
-    "    return (greater,overlap)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Now let's use this function to detect if the rectangles overlap!"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def calc_rect_overlap(r1,r2):\n",
-    "    \n",
-    "    \n",
-    "    x_overlap, w_overlap = calc_overlap(r1['x'],r1['w'],r2['x'],r2['w'])\n",
-    "    \n",
-    "    y_overlap, h_overlap = calc_overlap(r1['y'],r1['h'],r2['y'],r2['h'])\n",
-    "    \n",
-    "    # If either returned None tuples, then there is no overlap!\n",
-    "    if not w_overlap or not h_overlap:\n",
-    "        print('There was no overlap!')\n",
-    "        return None\n",
-    "    \n",
-    "    # Otherwise return the dictionary format of the overlapping rectangle\n",
-    "    return { 'x':x_overlap,'y': y_overlap,'w':w_overlap,'h':h_overlap}"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Our solution is O(1) for both time and space! Let's see it in action:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "{'x': 2, 'y': 5, 'w': 5, 'h': 11}"
-      ]
-     },
-     "execution_count": 6,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "r1 = {'x': 2 , 'y': 4,'w':5,'h':12}\n",
-    "r2 = {'x': 1 , 'y': 5,'w':7,'h':14}\n",
-    "calc_rect_overlap(r1,r2)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Make sure to review the answer and practice writing it out by hand!\n",
-    "# Good Job!"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.8.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 1
-}
diff --git a/10-Mock Interviews/01-Large E-Commerce Company/E-Commerce Company - Interview Problems - SOLUTIONS/.ipynb_checkpoints/04-Phone Screen - SOLUTION-checkpoint.ipynb b/10-Mock Interviews/01-Large E-Commerce Company/E-Commerce Company - Interview Problems - SOLUTIONS/.ipynb_checkpoints/04-Phone Screen - SOLUTION-checkpoint.ipynb
deleted file mode 100644
index 5f192cec..00000000
--- a/10-Mock Interviews/01-Large E-Commerce Company/E-Commerce Company - Interview Problems - SOLUTIONS/.ipynb_checkpoints/04-Phone Screen - SOLUTION-checkpoint.ipynb	
+++ /dev/null
@@ -1,85 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Phone Screen - SOLUTION\n",
-    "\n",
-    "## Problem\n",
-    "\n",
-    "**A tower has 100 floors. You've been given two eggs. The eggs are strong enough that they can be dropped from a particular floor in the tower without breaking. You've been tasked to find the highest floor an egg can be dropped without breaking, in as few drops as possible. If an egg is dropped from above its target floor it will break. If it is dropped from that floor or below, it will be intact and you can test drop the egg again on another floor.**\n",
-    "\n",
-    "**Show algorithmically how you would go about doing this in as few drops as possible**\n",
-    "## Requirements\n",
-    "\n",
-    "** Use paper/pencil or a whiteboard for this problem **"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {
-    "collapsed": true
-   },
-   "source": [
-    "## Solution\n",
-    "\n",
-    "** We've already seen this problem in the Riddles section, here is the answer from that section.(Alternatively just google \"2 eggs 100 floors\" for a plethora of explanations regarding this same solution **\n",
-    "\n",
-    "\n",
-    "Start from the 10th floor and go up to floors in multiples of 10.\n",
-    "\n",
-    "If first egg breaks, say at 20th floor then you can check all the floors between 11th and 19th with the second egg to see which floor it will not break.\n",
-    "\n",
-    "In this case, the worst-case number of drops is 19. If the threshold was 99th floor, then you would have to drop the first egg 10 times and the second egg 9 times in linear fashion.\n",
-    "\n",
-    "**Best solution:**\n",
-    "We need to minimize this worst-case number of drops. For that, we need to generalize the problem to have n floors. What would be the step value, for the first egg? Would it still be 10? Suppose we have 200 floors. Would the step value be still 10? \n",
-    "\n",
-    "The point to note here is that we are trying to minimize the worst-case number of drops which happens if the threshold is at the highest floors. So, our steps should be of some value which reduces the number of drops of the first egg.\n",
-    "\n",
-    "Let's assume we take some step value m initially. If every subsequent step is m-1,\n",
-    "then, \n",
-    "$$m+m−1+m−2+.....+1=n$$\n",
-    "\n",
-    "This is \n",
-    "\n",
-    "$$\\frac{m∗(m+1)}{2}=n$$\n",
-    "\n",
-    "If n =100, then m would be 13.65 which since we can't drop from a decimal of a floor, we actually use 14.\n",
-    "\n",
-    "So, the worst case scenario is now when the threshold is in the first 14 floors with number of drops being 14.\n",
-    "\n",
-    "Note that this is simply a binary search!"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Good Job!"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.8.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 1
-}
diff --git a/10-Mock Interviews/01-Large E-Commerce Company/E-Commerce Company - Interview Problems/.ipynb_checkpoints/01-On-Site Question 1-checkpoint.ipynb b/10-Mock Interviews/01-Large E-Commerce Company/E-Commerce Company - Interview Problems/.ipynb_checkpoints/01-On-Site Question 1-checkpoint.ipynb
deleted file mode 100644
index 0726438d..00000000
--- a/10-Mock Interviews/01-Large E-Commerce Company/E-Commerce Company - Interview Problems/.ipynb_checkpoints/01-On-Site Question 1-checkpoint.ipynb	
+++ /dev/null
@@ -1,56 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# On-Site Question 1 \n",
-    "\n",
-    "## Problem\n",
-    "\n",
-    "** You've been given a list of historical stock prices for a single day for Amazon stock. The index of the list represents the timestamp, so the element at index of 0 is the initial price of the stock, the element at index 1 is the next recorded price of the stock for that day, etc. Your task is to write a function that will return the maximum profit possible from the purchase and sale of a single share of Amazon stock on that day. Keep in mind to try to make this as efficient as possible.**\n",
-    "\n",
-    "\n",
-    "For example, if you were given the list of stock prices:\n",
-    "\n",
-    "prices = [12,11,15,3,10]\n",
-    "\n",
-    "Then your function would return the maximum possible profit, which would be 7 (buying at 3 and selling at 10).\n",
-    "\n",
-    "## Requirements\n",
-    "\n",
-    "** Try to solve this problem with paper/pencil first without using an IDE. Also keep in mind you should be able to come up with a better solution than just brute forcing every possible sale combination **\n",
-    "\n",
-    "** Also you can't \"short\" a stock, you must buy *before* you sell the stock. **"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Good Luck!"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.8.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 1
-}
diff --git a/10-Mock Interviews/01-Large E-Commerce Company/E-Commerce Company - Interview Problems/.ipynb_checkpoints/02-On-Site Question 2 -checkpoint.ipynb b/10-Mock Interviews/01-Large E-Commerce Company/E-Commerce Company - Interview Problems/.ipynb_checkpoints/02-On-Site Question 2 -checkpoint.ipynb
deleted file mode 100644
index de447f10..00000000
--- a/10-Mock Interviews/01-Large E-Commerce Company/E-Commerce Company - Interview Problems/.ipynb_checkpoints/02-On-Site Question 2 -checkpoint.ipynb	
+++ /dev/null
@@ -1,51 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# On-Site Question 2 \n",
-    "\n",
-    "## Problem\n",
-    "\n",
-    "** Given a list of integers, write a function that will return a list, in which for each index the element will be the product of all the integers except for the element at that index **\n",
-    "\n",
-    "**For example, an input of [1,2,3,4] would return [24,12,8,6] by performing [2×3×4,1×3×4,1×2×4,1×2×3] **\n",
-    "\n",
-    "## Requirements\n",
-    "\n",
-    "** You can not use division in your answer! Meaning you can't simply multiply all the numbers and then divide by eahc element for each index!**\n",
-    "\n",
-    "** Try to do this on a white board or with paper/pencil.**"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Good Luck!"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.8.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 1
-}
diff --git a/10-Mock Interviews/01-Large E-Commerce Company/E-Commerce Company - Interview Problems/.ipynb_checkpoints/03-On-Site Question 3-checkpoint.ipynb b/10-Mock Interviews/01-Large E-Commerce Company/E-Commerce Company - Interview Problems/.ipynb_checkpoints/03-On-Site Question 3-checkpoint.ipynb
deleted file mode 100644
index 43c2cd76..00000000
--- a/10-Mock Interviews/01-Large E-Commerce Company/E-Commerce Company - Interview Problems/.ipynb_checkpoints/03-On-Site Question 3-checkpoint.ipynb	
+++ /dev/null
@@ -1,76 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# On-Site Question 3\n",
-    "\n",
-    "## Problem\n",
-    "\n",
-    "**Given two rectangles, determine if they overlap. The rectangles are defined as a Dictionary, for example:**"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "r1 = {\n",
-    "    \n",
-    "         # x and y coordinates of the bottom-left corner of the rectangle\n",
-    "         'x': 2 , 'y': 4,\n",
-    "         \n",
-    "         # Width and Height of rectangle\n",
-    "         'w':5,'h':12}"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "** If the rectangles do overlap, return the dictionary which describes the overlapping section**"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Requirements\n",
-    "\n",
-    "** Make sure the dictionary you output is in the same form as the input.**\n",
-    "\n",
-    "** Feel free to use an IDE for the code, but make sure you use paper/pencil or whiteboard to draw out your plan and logic**"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Good Luck!"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.8.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 1
-}
diff --git a/10-Mock Interviews/01-Large E-Commerce Company/E-Commerce Company - Interview Problems/.ipynb_checkpoints/04-Phone Screen -checkpoint.ipynb b/10-Mock Interviews/01-Large E-Commerce Company/E-Commerce Company - Interview Problems/.ipynb_checkpoints/04-Phone Screen -checkpoint.ipynb
deleted file mode 100644
index 3cb28e95..00000000
--- a/10-Mock Interviews/01-Large E-Commerce Company/E-Commerce Company - Interview Problems/.ipynb_checkpoints/04-Phone Screen -checkpoint.ipynb	
+++ /dev/null
@@ -1,49 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Phone Screen \n",
-    "\n",
-    "## Problem\n",
-    "\n",
-    "**A tower has 100 floors. You've been given two eggs. The eggs are strong enough that they can be dropped from a particular floor in the tower without breaking. You've been tasked to find the highest floor an egg can be dropped without breaking, in as few drops as possible. If an egg is dropped from above its target floor it will break. If it is dropped from that floor or below, it will be intact and you can test drop the egg again on another floor.**\n",
-    "\n",
-    "**Show algorithmically how you would go about doing this in as few drops as possible**\n",
-    "\n",
-    "## Requirements\n",
-    "\n",
-    "** Use paper/pencil or a whiteboard for this problem **"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Good Luck!"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.8.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 1
-}
diff --git a/10-Mock Interviews/02-Large Search Engine Company /Search Engine Company - Interview Problems - SOLUTIONS/01-On-Site Question 1 - SOLUTION.ipynb b/10-Mock Interviews/02-Large Search Engine Company /01-On-Site-Question-1/01-On-Site Question 1 - SOLUTION.ipynb
similarity index 100%
rename from 10-Mock Interviews/02-Large Search Engine Company /Search Engine Company - Interview Problems - SOLUTIONS/01-On-Site Question 1 - SOLUTION.ipynb
rename to 10-Mock Interviews/02-Large Search Engine Company /01-On-Site-Question-1/01-On-Site Question 1 - SOLUTION.ipynb
diff --git a/10-Mock Interviews/02-Large Search Engine Company /Search Engine Company - Interview Problems/01-On-Site Question 1 .ipynb b/10-Mock Interviews/02-Large Search Engine Company /01-On-Site-Question-1/01-On-Site Question 1 .ipynb
similarity index 100%
rename from 10-Mock Interviews/02-Large Search Engine Company /Search Engine Company - Interview Problems/01-On-Site Question 1 .ipynb
rename to 10-Mock Interviews/02-Large Search Engine Company /01-On-Site-Question-1/01-On-Site Question 1 .ipynb
diff --git a/10-Mock Interviews/02-Large Search Engine Company /Search Engine Company - Interview Problems - SOLUTIONS/02-On-Site Question 2 - SOLUTION.ipynb b/10-Mock Interviews/02-Large Search Engine Company /02-On-Site-Question-2/02-On-Site Question 2 - SOLUTION.ipynb
similarity index 100%
rename from 10-Mock Interviews/02-Large Search Engine Company /Search Engine Company - Interview Problems - SOLUTIONS/02-On-Site Question 2 - SOLUTION.ipynb
rename to 10-Mock Interviews/02-Large Search Engine Company /02-On-Site-Question-2/02-On-Site Question 2 - SOLUTION.ipynb
diff --git a/10-Mock Interviews/02-Large Search Engine Company /Search Engine Company - Interview Problems/02-On-Site Question 2 .ipynb b/10-Mock Interviews/02-Large Search Engine Company /02-On-Site-Question-2/02-On-Site Question 2 .ipynb
similarity index 100%
rename from 10-Mock Interviews/02-Large Search Engine Company /Search Engine Company - Interview Problems/02-On-Site Question 2 .ipynb
rename to 10-Mock Interviews/02-Large Search Engine Company /02-On-Site-Question-2/02-On-Site Question 2 .ipynb
diff --git a/10-Mock Interviews/02-Large Search Engine Company /Search Engine Company - Interview Problems - SOLUTIONS/03-On-Site Question 3 -SOLUTION.ipynb b/10-Mock Interviews/02-Large Search Engine Company /03-On-Site-Question-3/03-On-Site Question 3 -SOLUTION.ipynb
similarity index 100%
rename from 10-Mock Interviews/02-Large Search Engine Company /Search Engine Company - Interview Problems - SOLUTIONS/03-On-Site Question 3 -SOLUTION.ipynb
rename to 10-Mock Interviews/02-Large Search Engine Company /03-On-Site-Question-3/03-On-Site Question 3 -SOLUTION.ipynb
diff --git a/10-Mock Interviews/02-Large Search Engine Company /Search Engine Company - Interview Problems/03-On-Site Question 3 .ipynb b/10-Mock Interviews/02-Large Search Engine Company /03-On-Site-Question-3/03-On-Site Question 3 .ipynb
similarity index 100%
rename from 10-Mock Interviews/02-Large Search Engine Company /Search Engine Company - Interview Problems/03-On-Site Question 3 .ipynb
rename to 10-Mock Interviews/02-Large Search Engine Company /03-On-Site-Question-3/03-On-Site Question 3 .ipynb
diff --git a/10-Mock Interviews/02-Large Search Engine Company /Search Engine Company - Interview Problems - SOLUTIONS/04-On-Site Question 4 - SOLUTION.ipynb b/10-Mock Interviews/02-Large Search Engine Company /04-On-Site-Question-4/04-On-Site Question 4 - SOLUTION.ipynb
similarity index 100%
rename from 10-Mock Interviews/02-Large Search Engine Company /Search Engine Company - Interview Problems - SOLUTIONS/04-On-Site Question 4 - SOLUTION.ipynb
rename to 10-Mock Interviews/02-Large Search Engine Company /04-On-Site-Question-4/04-On-Site Question 4 - SOLUTION.ipynb
diff --git a/10-Mock Interviews/02-Large Search Engine Company /Search Engine Company - Interview Problems/04-On-Site Question 4 .ipynb b/10-Mock Interviews/02-Large Search Engine Company /04-On-Site-Question-4/04-On-Site Question 4 .ipynb
similarity index 100%
rename from 10-Mock Interviews/02-Large Search Engine Company /Search Engine Company - Interview Problems/04-On-Site Question 4 .ipynb
rename to 10-Mock Interviews/02-Large Search Engine Company /04-On-Site-Question-4/04-On-Site Question 4 .ipynb
diff --git a/10-Mock Interviews/02-Large Search Engine Company /Search Engine Company - Interview Problems - SOLUTIONS/.ipynb_checkpoints/05-Phone Screen-checkpoint.ipynb b/10-Mock Interviews/02-Large Search Engine Company /05-Phone-Screen/05-Phone Screen-Solutions.ipynb
similarity index 100%
rename from 10-Mock Interviews/02-Large Search Engine Company /Search Engine Company - Interview Problems - SOLUTIONS/.ipynb_checkpoints/05-Phone Screen-checkpoint.ipynb
rename to 10-Mock Interviews/02-Large Search Engine Company /05-Phone-Screen/05-Phone Screen-Solutions.ipynb
diff --git a/10-Mock Interviews/02-Large Search Engine Company /Search Engine Company - Interview Problems/05-Phone Screen.ipynb b/10-Mock Interviews/02-Large Search Engine Company /05-Phone-Screen/05-Phone Screen.ipynb
similarity index 100%
rename from 10-Mock Interviews/02-Large Search Engine Company /Search Engine Company - Interview Problems/05-Phone Screen.ipynb
rename to 10-Mock Interviews/02-Large Search Engine Company /05-Phone-Screen/05-Phone Screen.ipynb
diff --git a/10-Mock Interviews/02-Large Search Engine Company /Search Engine Company - Interview Problems - SOLUTIONS/.ipynb_checkpoints/01-On-Site Question 1 - SOLUTION-checkpoint.ipynb b/10-Mock Interviews/02-Large Search Engine Company /Search Engine Company - Interview Problems - SOLUTIONS/.ipynb_checkpoints/01-On-Site Question 1 - SOLUTION-checkpoint.ipynb
deleted file mode 100644
index 2b13d615..00000000
--- a/10-Mock Interviews/02-Large Search Engine Company /Search Engine Company - Interview Problems - SOLUTIONS/.ipynb_checkpoints/01-On-Site Question 1 - SOLUTION-checkpoint.ipynb	
+++ /dev/null
@@ -1,122 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# On-Site Question 1 - SOLUTION\n",
-    "___\n",
-    "\n",
-    "## Question\n",
-    "** Given a dice which rolls 1 to 7 (with uniform probability), simulate a 5 sided dice. Preferably, write your solution as a function. **\n",
-    "\n",
-    "## Requirements\n",
-    "\n",
-    "** You MUST do this on pen and paper or on a whiteboard. No actual coding is allowed until you've solved it on pen and paper! **"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "___"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# SOLUTION\n",
-    "\n",
-    "This is a new problem we haven't seen directly before! Many times this question is asked in the form of functions e.g. your given a function random_7() and you have to take it as an input and create random_5()\n",
-    "\n",
-    "The key to solving this problem is to make sure you focus on the requirement that the final distribution of the rolls be uniform, also you were not given any requirements on Time and Space, so the solution is actually *very* simple, just keep re-rolling if you get a number greater than 5!\n",
-    "\n",
-    "We can code this out:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "from random import randint\n",
-    " \n",
-    "def dice7():\n",
-    "    return randint(1, 7)\n",
-    " \n",
-    "# Our Solution\n",
-    "def convert7to5():\n",
-    "    \n",
-    "    # Starting roll (just needs to be larger than 5)\n",
-    "    roll = 7\n",
-    "    \n",
-    "    while roll > 5:\n",
-    "        \n",
-    "        roll = dice7()\n",
-    "        print('dice7() produced a roll of ',roll)\n",
-    "    print(' Your final returned roll is below:')\n",
-    "    return roll"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "dice7() produced a roll of  3\n",
-      " Your final returned roll is below:\n"
-     ]
-    },
-    {
-     "data": {
-      "text/plain": [
-       "3"
-      ]
-     },
-     "execution_count": 7,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "convert7to5()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Now, the next problem (On-Site Question 2) will be harder, the reverse conversion of rolls! This question should serve as a reminder not to overthink the solution to a question! Keep in mind that our solution has the potential to run for infinity if we keep rolling 6s and 7s (although this is highly unlikely).\n",
-    "\n",
-    "## Good Job!"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.8.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 1
-}
diff --git a/10-Mock Interviews/02-Large Search Engine Company /Search Engine Company - Interview Problems - SOLUTIONS/.ipynb_checkpoints/02-On-Site Question 2 - SOLUTION-checkpoint.ipynb b/10-Mock Interviews/02-Large Search Engine Company /Search Engine Company - Interview Problems - SOLUTIONS/.ipynb_checkpoints/02-On-Site Question 2 - SOLUTION-checkpoint.ipynb
deleted file mode 100644
index b8871858..00000000
--- a/10-Mock Interviews/02-Large Search Engine Company /Search Engine Company - Interview Problems - SOLUTIONS/.ipynb_checkpoints/02-On-Site Question 2 - SOLUTION-checkpoint.ipynb	
+++ /dev/null
@@ -1,143 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# On-Site Question 2 - SOLUTION\n",
-    "___\n",
-    "\n",
-    "## Question\n",
-    "** Given a dice which rolls from 1 to 5, simulate a uniform 7 sided dice! **\n",
-    "\n",
-    "## Requirements\n",
-    "\n",
-    "** You MUST do this on pen and paper or on a whiteboard. No actual coding is allowed until you've come up with a solution by hand! **"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "___"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# SOLUTION\n",
-    "\n",
-    "Because the 5 sided dice can not produce 7 possible outcomes on a single roll, we immediately know that we need to roll the dice at least twice.  \n",
-    "\n",
-    "If we roll the dice twice we have 25 possible combinations of the results of the two rolls. While 25 is not divisible by 7, 21 is. This means we can implement our previous strategy of throwing out rolls not in our intended range.\n",
-    "\n",
-    "It's also important to note that we can't expand the solution to implement more rolls in order to not throw any out, because 5 and 7 are both prime which means that no exponent of 5 will be divisible by 7 no matter how high you go.\n",
-    "\n",
-    "We will define our range as a section of the 25 possible combinations of rolls. A good way to do this is by converting the two rolls into a unique outcome number in the range 1 through 25.\n",
-    "\n",
-    "We will create this number by taking the rolls, then we take the first roll and after subtracting 1 from it we multiply it by 5. Now the first roll corresponds with a value of 0, 5, 10, 15 and 20.\n",
-    "\n",
-    "Then we take the second roll and add it to the result of the first manipulation. Giving us a range of 1-25.\n",
-    "\n",
-    "So our final solution is to roll the dice twice. Check the manipulated range from 1 to 25, if its greater than 21, do a reroll. Let's see it in action:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "from random import randint\n",
-    " \n",
-    "def dice5():\n",
-    "    return randint(1, 5)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Now for our conversion function:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def convert5to7():\n",
-    "\n",
-    "    # For constant re-roll purposes\n",
-    "    while True:\n",
-    "\n",
-    "        # Roll the dice twice\n",
-    "        roll_1 = dice5()\n",
-    "        roll_2 = dice5()\n",
-    "        \n",
-    "        #print 'The rolls were {} and {}'.format(roll_1,roll_2)\n",
-    "\n",
-    "        # Convert the combination to the range 1 to 25\n",
-    "        num = ( (roll_1-1) * 5 ) +  ( roll_2 ) \n",
-    "\n",
-    "        #print 'The converted range number was:',num\n",
-    "        if num > 21:\n",
-    "\n",
-    "            # re-roll if we are out of range\n",
-    "            continue\n",
-    "\n",
-    "        return num %7 + 1       "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "3"
-      ]
-     },
-     "execution_count": 3,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "convert5to7()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Good Job!"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.8.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 1
-}
diff --git a/10-Mock Interviews/02-Large Search Engine Company /Search Engine Company - Interview Problems - SOLUTIONS/.ipynb_checkpoints/03-On-Site Question 3 -SOLUTION-checkpoint.ipynb b/10-Mock Interviews/02-Large Search Engine Company /Search Engine Company - Interview Problems - SOLUTIONS/.ipynb_checkpoints/03-On-Site Question 3 -SOLUTION-checkpoint.ipynb
deleted file mode 100644
index 799ac82b..00000000
--- a/10-Mock Interviews/02-Large Search Engine Company /Search Engine Company - Interview Problems - SOLUTIONS/.ipynb_checkpoints/03-On-Site Question 3 -SOLUTION-checkpoint.ipynb	
+++ /dev/null
@@ -1,89 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# On-Site Question 3 - SOLUTION\n",
-    "\n",
-    "## Question\n",
-    "\n",
-    "**Given a string, write a function that uses recursion to reverse it. **\n",
-    "\n",
-    "## Requirements\n",
-    "\n",
-    "** You MUST use pen and paper or a whiteboard to answer this, no coding allowed! **"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "____"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# SOLUTION\n",
-    "\n",
-    "Hopefully you remember this problem, you've already seen it! The solution is:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def reverse(s):\n",
-    "    \n",
-    "    # Base Case\n",
-    "    if len(s) <= 1:\n",
-    "        return s\n",
-    "\n",
-    "    # Recursion\n",
-    "    return reverse(s[1:]) + s[0]"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "___\n",
-    "## Notes\n",
-    "\n",
-    "Remember when recursion questions arise, think about the base case and the recursive case. Review the recusion section of the course for review for this problem."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Good Job!"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.8.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 1
-}
diff --git a/10-Mock Interviews/02-Large Search Engine Company /Search Engine Company - Interview Problems - SOLUTIONS/.ipynb_checkpoints/04-On-Site Question 4 - SOLUTION-checkpoint.ipynb b/10-Mock Interviews/02-Large Search Engine Company /Search Engine Company - Interview Problems - SOLUTIONS/.ipynb_checkpoints/04-On-Site Question 4 - SOLUTION-checkpoint.ipynb
deleted file mode 100644
index bff41dba..00000000
--- a/10-Mock Interviews/02-Large Search Engine Company /Search Engine Company - Interview Problems - SOLUTIONS/.ipynb_checkpoints/04-On-Site Question 4 - SOLUTION-checkpoint.ipynb	
+++ /dev/null
@@ -1,247 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# On-Site Question 4 - SOLUTION\n",
-    "\n",
-    "## Question\n",
-    "**Find the squareroot of a given number rounded down to the nearest integer, without using the sqrt function. For example, squareroot of a number between [9, 15] should return 3, and [16, 24] should be 4.**\n",
-    "\n",
-    "## Requirements\n",
-    "\n",
-    "** Feel free to code this out (but its recommended that you use paper/pencil or whiteboard)**"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {
-    "collapsed": true
-   },
-   "source": [
-    "## Solution\n",
-    "\n",
-    "The squareroot of a (non-negative) number N always lies between 0 and N/2. The straightforward way to solve this problem would be to check every number k between 0 and N/2, until the square of k becomes greater than or rqual to N. If k^2 becomes equal to N, then we return k. Otherwise, we return k-1 because we're rounding down. Here's the code:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def solution(num): \n",
-    "    if num<0: \n",
-    "        raise ValueError \n",
-    "    if num==1: \n",
-    "        return 1 \n",
-    "    for k in range(1+(num//2)): \n",
-    "        if k**2==num: \n",
-    "            return k \n",
-    "        elif k**2>num: \n",
-    "            return k-1 \n",
-    "    return k  "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "3"
-      ]
-     },
-     "execution_count": 4,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "solution(14)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "3"
-      ]
-     },
-     "execution_count": 5,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "solution(15)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "4"
-      ]
-     },
-     "execution_count": 6,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "solution(16)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "The complexity of this approach is O(N), because we have to check N/2 numbers in the worst case. This linear algorithm is pretty inefficient, we can use some sort of binary search to speed it up. We know that the result is between 0 and N/2, so we can first try N/4 to see whether its square is less than, greater than, or equal to N. If it’s equal then we simply return that value. If it’s less, then we continue our search between N/4 and N/2. Otherwise if it’s greater, then we search between 0 and N/4. In both cases we reduce the potential range by half and continue, this is the logic of binary search. We’re not performing regular binary search though, it’s modified. We want to ensure that we stop at a number k, where k^2<=N but (k+1)^2>N. For example:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 15,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def better_solution(num): \n",
-    "    if num<0: \n",
-    "        raise ValueError \n",
-    "    if num==1: \n",
-    "        return 1 \n",
-    "    low=0 \n",
-    "    high=1+(num/2) \n",
-    "    \n",
-    "    while low+1<high: \n",
-    "        mid=low+(high-low)/2 \n",
-    "        square=mid**2 \n",
-    "        if square==num: \n",
-    "            return mid \n",
-    "        elif square<num: \n",
-    "            low=mid \n",
-    "        else: high=mid \n",
-    "            \n",
-    "    return low"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 19,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "3.0"
-      ]
-     },
-     "execution_count": 19,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "better_solution(14)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 20,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "3.71875"
-      ]
-     },
-     "execution_count": 20,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "better_solution(15)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 21,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "3.9375"
-      ]
-     },
-     "execution_count": 21,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "better_solution(16)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "One difference from regular binary search is the condition of the while loop, it’s low+1<high instead of low<high. Also we have low=mid instead of low=mid+1, and high=mid instead of high=mid-1. These are the modifications we make to standard binary search. The complexity is still the same though, it’s logarithmic O(logN). Which is much better than the naive linear solution.\n",
-    "\n",
-    "There’s also a constant time O(1) solution which involves a clever math trick. Here it is:\n",
-    "\n",
-    "# $$ \\sqrt{N} = N^{0.5} = 2^{\\log_2 N^{0.5}} = 2^{0.5 \\log_2 N}  $$"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "This solution exploits the property that if we take the exponent of the log of a number, the result  doesn’t change, it’s still the number itself. So we can first calculate the log of a number, multiply with 0.5, take the exponent, and finally take the floor of that value to round it down. This way we can avoid using the sqrt function by using the log function. Logarithm of a number rounded down to the nearest integer can be calculated in constant time, by looking at the position of the leftmost 1 in the binary representation of the number. For example, the number 6 in binary is 110, and the leftmost 1 is at position 2 (starting from right counting from 0). So the logarithm of 6 rounded down is 2. This solution doesn’t always give the same result as above algorithms though, because of the rounding effects. And depending on the interviewer’s perspective this approach can be regarded as either very elegant and clever, or tricky and invalid. Either way, you should let your interviewer know that you are capable of the shortcut!"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Good Job!"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.8.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 1
-}
diff --git a/10-Mock Interviews/02-Large Search Engine Company /Search Engine Company - Interview Problems - SOLUTIONS/05-Phone Screen.ipynb b/10-Mock Interviews/02-Large Search Engine Company /Search Engine Company - Interview Problems - SOLUTIONS/05-Phone Screen.ipynb
deleted file mode 100644
index 8ea4c86c..00000000
--- a/10-Mock Interviews/02-Large Search Engine Company /Search Engine Company - Interview Problems - SOLUTIONS/05-Phone Screen.ipynb	
+++ /dev/null
@@ -1,273 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Phone Screen\n",
-    "\n",
-    "**This phone screen will consist of a non-technical series of questions about you and the company, and then a second half of a simple technical question to be coded out**\n",
-    "___\n",
-    "## Non-Technical Questions\n",
-    "\n",
-    "**Answer the following questions (2-5 minute responses) technical answers not required, more interested in hearing about your reasoning**"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "* Give me some quick background about you (go over your resume)\n",
-    "* Why do you want to work here?\n",
-    "* What's your favorite programming language and why?\n",
-    "* Where do you see yourself in 5 years?\n",
-    "* Do you have any questions about the company for me?"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Solution\n",
-    "\n",
-    "There aren't really any \"correct\" answers here, just make sure you're prepared to answer the following questions about the company you're interviewing with. Be honest, friendly and  ready to defend any statements you make with logical arguments to back them up. Note, you should ALWAYS have follow-up questions."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "___\n",
-    "## Technical Questions\n",
-    "\n",
-    "**Answer the following question in the *Markdown* cell below. It's important to note that the cell below does NOT have syntax highlighting, its common in a phone screen interview to be given a text editor hich doesn't have anything more than basic text support**\n",
-    "\n",
-    "1. Write a function that computes the Nth fibonacci number"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Solution\n",
-    "\n",
-    "There's many ways to answer this question, you might be required to solve it multiple ways and discuss some pros and cons of each way. Listed below are various solutions"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "13\n",
-      "13\n",
-      "13\n",
-      "13\n",
-      "13\n"
-     ]
-    }
-   ],
-   "source": [
-    "## Example 1: Using looping technique\n",
-    "def fib(n):\n",
-    "    \n",
-    "    a,b = 1,1\n",
-    "    for i in range(n-1):\n",
-    "        a,b = b,a+b\n",
-    "    return a\n",
-    "\n",
-    "print(fib(7))\n",
-    "    \n",
-    "# Using recursion    \n",
-    "def fibR(n):\n",
-    "    if n==1 or n==2:\n",
-    "        return 1\n",
-    "    return fib(n-1)+fib(n-2)\n",
-    "\n",
-    "print(fibR(7))\n",
-    " \n",
-    "## Example 3: Using generators\n",
-    "a,b = 0,1\n",
-    "def fibI():\n",
-    "    global a,b\n",
-    "    while True:\n",
-    "        a,b = b, a+b\n",
-    "        yield a\n",
-    "f=fibI()\n",
-    "next(f)\n",
-    "next(f)\n",
-    "next(f)\n",
-    "next(f)\n",
-    "next(f)\n",
-    "next(f)\n",
-    "\n",
-    "print(next(f))\n",
-    "\n",
-    " \n",
-    "## Example 4: Using memoization\n",
-    "def memoize(fn, arg):\n",
-    "    memo = {}\n",
-    "    if arg not in memo:\n",
-    "        memo[arg] = fn(arg)\n",
-    "    return memo[arg]\n",
-    " \n",
-    "## fib() as written in example 1.\n",
-    "fibm = memoize(fib,7)\n",
-    "print(fibm)\n",
-    " \n",
-    "## Example 5: Using memoization as decorator\n",
-    "class Memoize:\n",
-    "    def __init__(self, fn):\n",
-    "        self.fn = fn\n",
-    "        self.memo = {}\n",
-    "    def __call__(self, arg):\n",
-    "        if arg not in self.memo:\n",
-    "            self.memo[arg] = self.fn(arg)\n",
-    "            return self.memo[arg]\n",
-    " \n",
-    "@Memoize\n",
-    "def fib(n):\n",
-    "    a,b = 1,1\n",
-    "    for i in range(n-1):\n",
-    "        a,b = b,a+b\n",
-    "    return a\n",
-    "print(fib(7))"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Below is a table depicting averaged relative performance time in seconds over 10 runs to caluclate the 15000th fibonacci number.\n",
-    "<table width=\"422\" border=\"0\" cellspacing=\"0\" cellpadding=\"0\">\n",
-    "<col width=\"64\" />\n",
-    "<col width=\"78\" />\n",
-    "<col width=\"89\" />\n",
-    "<col width=\"94\" />\n",
-    "<col width=\"97\" />\n",
-    "<tbody>\n",
-    "<tr>\n",
-    "<td colspan=\"5\" width=\"422\" height=\"20\">                                         <strong>  Fib(n=15000)</strong></td>\n",
-    "</tr>\n",
-    "<tr>\n",
-    "<td width=\"64\" height=\"40\"><strong>loops</strong></td>\n",
-    "<td width=\"78\"><strong>recursion</strong></td>\n",
-    "<td width=\"89\"><strong>generators</strong></td>\n",
-    "<td width=\"94\"><strong>memoization</strong></td>\n",
-    "<td width=\"97\"><strong>memoization as decorator</strong></td>\n",
-    "</tr>\n",
-    "<tr>\n",
-    "<td width=\"64\" height=\"20\">45</td>\n",
-    "<td width=\"78\">87</td>\n",
-    "<td width=\"89\">58</td>\n",
-    "<td width=\"94\">44</td>\n",
-    "<td width=\"97\">43</td>\n",
-    "</tr>\n",
-    "<tr>\n",
-    "<td width=\"64\" height=\"20\">47</td>\n",
-    "<td width=\"78\">88</td>\n",
-    "<td width=\"89\">58</td>\n",
-    "<td width=\"94\">42</td>\n",
-    "<td width=\"97\">42</td>\n",
-    "</tr>\n",
-    "<tr>\n",
-    "<td width=\"64\" height=\"20\">51</td>\n",
-    "<td width=\"78\">92</td>\n",
-    "<td width=\"89\">60</td>\n",
-    "<td width=\"94\">44</td>\n",
-    "<td width=\"97\">43</td>\n",
-    "</tr>\n",
-    "<tr>\n",
-    "<td width=\"64\" height=\"20\">43</td>\n",
-    "<td width=\"78\">87</td>\n",
-    "<td width=\"89\">58</td>\n",
-    "<td width=\"94\">42</td>\n",
-    "<td width=\"97\">43</td>\n",
-    "</tr>\n",
-    "<tr>\n",
-    "<td width=\"64\" height=\"20\">48</td>\n",
-    "<td width=\"78\">92</td>\n",
-    "<td width=\"89\">61</td>\n",
-    "<td width=\"94\">42</td>\n",
-    "<td width=\"97\">44</td>\n",
-    "</tr>\n",
-    "<tr>\n",
-    "<td width=\"64\" height=\"20\">45</td>\n",
-    "<td width=\"78\">87</td>\n",
-    "<td width=\"89\">59</td>\n",
-    "<td width=\"94\">43</td>\n",
-    "<td width=\"97\">44</td>\n",
-    "</tr>\n",
-    "<tr>\n",
-    "<td width=\"64\" height=\"20\">44</td>\n",
-    "<td width=\"78\">85</td>\n",
-    "<td width=\"89\">57</td>\n",
-    "<td width=\"94\">42</td>\n",
-    "<td width=\"97\">44</td>\n",
-    "</tr>\n",
-    "<tr>\n",
-    "<td width=\"64\" height=\"20\">44</td>\n",
-    "<td width=\"78\">87</td>\n",
-    "<td width=\"89\">62</td>\n",
-    "<td width=\"94\">43</td>\n",
-    "<td width=\"97\">43</td>\n",
-    "</tr>\n",
-    "<tr>\n",
-    "<td width=\"64\" height=\"20\">48</td>\n",
-    "<td width=\"78\">86</td>\n",
-    "<td width=\"89\">59</td>\n",
-    "<td width=\"94\">42</td>\n",
-    "<td width=\"97\">43</td>\n",
-    "</tr>\n",
-    "<tr>\n",
-    "<td width=\"64\" height=\"21\">45</td>\n",
-    "<td width=\"78\">91</td>\n",
-    "<td width=\"89\">61</td>\n",
-    "<td width=\"94\">45</td>\n",
-    "<td width=\"97\">45</td>\n",
-    "</tr>\n",
-    "<tr>\n",
-    "<td width=\"64\" height=\"21\"><strong>46</strong></td>\n",
-    "<td width=\"78\"><strong>88.2</strong></td>\n",
-    "<td width=\"89\"><strong>59.3</strong></td>\n",
-    "<td width=\"94\"><strong>42.9</strong></td>\n",
-    "<td width=\"97\"><strong>43.4   (Avg)</strong></td>\n",
-    "</tr>\n",
-    "</tbody>\n",
-    "</table>"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Good Job!"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.8.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 1
-}
diff --git a/10-Mock Interviews/02-Large Search Engine Company /Search Engine Company - Interview Problems/.ipynb_checkpoints/01-On-Site Question 1 -checkpoint.ipynb b/10-Mock Interviews/02-Large Search Engine Company /Search Engine Company - Interview Problems/.ipynb_checkpoints/01-On-Site Question 1 -checkpoint.ipynb
deleted file mode 100644
index 4c78a6b6..00000000
--- a/10-Mock Interviews/02-Large Search Engine Company /Search Engine Company - Interview Problems/.ipynb_checkpoints/01-On-Site Question 1 -checkpoint.ipynb	
+++ /dev/null
@@ -1,54 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# On-Site Question 1 \n",
-    "___\n",
-    "\n",
-    "## Question\n",
-    "** Given a dice which rolls 1 to 7 (with uniform probability), simulate a 5 sided dice. Preferably, write your solution as a function. **\n",
-    "\n",
-    "## Requirements\n",
-    "\n",
-    "** You MUST do this on pen and paper or on a whiteboard. No actual coding is allowed until you've solved it on pen and paper! **"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "___"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Good Luck!"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 2
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.11"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 1
-}
diff --git a/10-Mock Interviews/02-Large Search Engine Company /Search Engine Company - Interview Problems/.ipynb_checkpoints/02-On-Site Question 2 -checkpoint.ipynb b/10-Mock Interviews/02-Large Search Engine Company /Search Engine Company - Interview Problems/.ipynb_checkpoints/02-On-Site Question 2 -checkpoint.ipynb
deleted file mode 100644
index df7821e0..00000000
--- a/10-Mock Interviews/02-Large Search Engine Company /Search Engine Company - Interview Problems/.ipynb_checkpoints/02-On-Site Question 2 -checkpoint.ipynb	
+++ /dev/null
@@ -1,54 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# On-Site Question 2 \n",
-    "___\n",
-    "\n",
-    "## Question\n",
-    "** Given a dice which rolls from 1 to 5, simulate a uniform 7 sided dice! **\n",
-    "\n",
-    "## Requirements\n",
-    "\n",
-    "** You MUST do this on pen and paper or on a whiteboard. No actual coding is allowed until you've come up with a solution by hand! **"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "___"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Good Luck!"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.8.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 1
-}
diff --git a/10-Mock Interviews/02-Large Search Engine Company /Search Engine Company - Interview Problems/.ipynb_checkpoints/03-On-Site Question 3 -checkpoint.ipynb b/10-Mock Interviews/02-Large Search Engine Company /Search Engine Company - Interview Problems/.ipynb_checkpoints/03-On-Site Question 3 -checkpoint.ipynb
deleted file mode 100644
index 071f91aa..00000000
--- a/10-Mock Interviews/02-Large Search Engine Company /Search Engine Company - Interview Problems/.ipynb_checkpoints/03-On-Site Question 3 -checkpoint.ipynb	
+++ /dev/null
@@ -1,54 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# On-Site Question 3 \n",
-    "\n",
-    "## Question\n",
-    "\n",
-    "**Given a string, write a function that uses recursion to reverse it. **\n",
-    "\n",
-    "## Requirements\n",
-    "\n",
-    "** You MUST use pen and paper or a whiteboard to answer this, no coding allowed! **"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "____"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Good Luck!"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.8.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 1
-}
diff --git a/10-Mock Interviews/02-Large Search Engine Company /Search Engine Company - Interview Problems/.ipynb_checkpoints/04-On-Site Question 4 -checkpoint.ipynb b/10-Mock Interviews/02-Large Search Engine Company /Search Engine Company - Interview Problems/.ipynb_checkpoints/04-On-Site Question 4 -checkpoint.ipynb
deleted file mode 100644
index d932316b..00000000
--- a/10-Mock Interviews/02-Large Search Engine Company /Search Engine Company - Interview Problems/.ipynb_checkpoints/04-On-Site Question 4 -checkpoint.ipynb	
+++ /dev/null
@@ -1,46 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# On-Site Question 4 \n",
-    "\n",
-    "## Question\n",
-    "**Find the squareroot of a given number rounded down to the nearest integer, without using the sqrt function. For example, squareroot of a number between [9, 15] should return 3, and [16, 24] should be 4.**\n",
-    "\n",
-    "## Requirements\n",
-    "\n",
-    "** Feel free to code this out (but its recommended that you use paper/pencil or whiteboard)**"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Good Luck!"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.8.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 1
-}
diff --git a/10-Mock Interviews/02-Large Search Engine Company /Search Engine Company - Interview Problems/.ipynb_checkpoints/05-Phone Screen-checkpoint.ipynb b/10-Mock Interviews/02-Large Search Engine Company /Search Engine Company - Interview Problems/.ipynb_checkpoints/05-Phone Screen-checkpoint.ipynb
deleted file mode 100644
index 1cb58d63..00000000
--- a/10-Mock Interviews/02-Large Search Engine Company /Search Engine Company - Interview Problems/.ipynb_checkpoints/05-Phone Screen-checkpoint.ipynb	
+++ /dev/null
@@ -1,80 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Phone Screen\n",
-    "\n",
-    "**This phone screen will consist of a non-technical series of questions about you and the company, and then a second half of a simple technical question to be coded out**\n",
-    "___\n",
-    "## Non-Technical Questions\n",
-    "\n",
-    "**Answer the following questions (2-5 minute responses) technical answers not required, more interested in hearing about your reasoning**"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "* Give me some quick background about you (go over your resume)\n",
-    "* Why do you want to work here?\n",
-    "* What's your favorite programming language and why?\n",
-    "* Where do you see yourself in 5 years?\n",
-    "* Do you have any questions about the company for me?"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "___"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "___\n",
-    "## Technical Questions\n",
-    "\n",
-    "**Answer the following question in the *Markdown* cell below. It's important to note that the cell below does NOT have syntax highlighting, its common in a phone screen interview to be given a text editor hich doesn't have anything more than basic text support**\n",
-    "\n",
-    "1. Write a function that computes the Nth fibonacci number"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": []
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Good Job!"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.8.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 1
-}
diff --git a/10-Mock Interviews/03-Ride Share Start-Up Company/Ride Share Company - Interview Questions - SOLUTIONS/On-Site Question 1 - SOLUTION.ipynb b/10-Mock Interviews/03-Ride Share Start-Up Company/01-On-Site-Quesion-1/On-Site Question 1 - SOLUTION.ipynb
similarity index 100%
rename from 10-Mock Interviews/03-Ride Share Start-Up Company/Ride Share Company - Interview Questions - SOLUTIONS/On-Site Question 1 - SOLUTION.ipynb
rename to 10-Mock Interviews/03-Ride Share Start-Up Company/01-On-Site-Quesion-1/On-Site Question 1 - SOLUTION.ipynb
diff --git a/10-Mock Interviews/03-Ride Share Start-Up Company/Ride Share Company - Interview Questions /On-Site Question 1 .ipynb b/10-Mock Interviews/03-Ride Share Start-Up Company/01-On-Site-Quesion-1/On-Site Question 1 .ipynb
similarity index 100%
rename from 10-Mock Interviews/03-Ride Share Start-Up Company/Ride Share Company - Interview Questions /On-Site Question 1 .ipynb
rename to 10-Mock Interviews/03-Ride Share Start-Up Company/01-On-Site-Quesion-1/On-Site Question 1 .ipynb
diff --git a/10-Mock Interviews/03-Ride Share Start-Up Company/Ride Share Company - Interview Questions - SOLUTIONS/On-Site Question 2 - SOLUTION.ipynb b/10-Mock Interviews/03-Ride Share Start-Up Company/02-On-Site-Quesion-2/On-Site Question 2 - SOLUTION.ipynb
similarity index 100%
rename from 10-Mock Interviews/03-Ride Share Start-Up Company/Ride Share Company - Interview Questions - SOLUTIONS/On-Site Question 2 - SOLUTION.ipynb
rename to 10-Mock Interviews/03-Ride Share Start-Up Company/02-On-Site-Quesion-2/On-Site Question 2 - SOLUTION.ipynb
diff --git a/10-Mock Interviews/03-Ride Share Start-Up Company/Ride Share Company - Interview Questions /On-Site Question 2 .ipynb b/10-Mock Interviews/03-Ride Share Start-Up Company/02-On-Site-Quesion-2/On-Site Question 2 .ipynb
similarity index 100%
rename from 10-Mock Interviews/03-Ride Share Start-Up Company/Ride Share Company - Interview Questions /On-Site Question 2 .ipynb
rename to 10-Mock Interviews/03-Ride Share Start-Up Company/02-On-Site-Quesion-2/On-Site Question 2 .ipynb
diff --git a/10-Mock Interviews/03-Ride Share Start-Up Company/Ride Share Company - Interview Questions - SOLUTIONS/On-Site Question 3 - SOLUTION.ipynb b/10-Mock Interviews/03-Ride Share Start-Up Company/03-On-Site-Quesion-3/On-Site Question 3 - SOLUTION.ipynb
similarity index 100%
rename from 10-Mock Interviews/03-Ride Share Start-Up Company/Ride Share Company - Interview Questions - SOLUTIONS/On-Site Question 3 - SOLUTION.ipynb
rename to 10-Mock Interviews/03-Ride Share Start-Up Company/03-On-Site-Quesion-3/On-Site Question 3 - SOLUTION.ipynb
diff --git a/10-Mock Interviews/03-Ride Share Start-Up Company/Ride Share Company - Interview Questions /On-Site Question 3 .ipynb b/10-Mock Interviews/03-Ride Share Start-Up Company/03-On-Site-Quesion-3/On-Site Question 3 .ipynb
similarity index 100%
rename from 10-Mock Interviews/03-Ride Share Start-Up Company/Ride Share Company - Interview Questions /On-Site Question 3 .ipynb
rename to 10-Mock Interviews/03-Ride Share Start-Up Company/03-On-Site-Quesion-3/On-Site Question 3 .ipynb
diff --git a/10-Mock Interviews/03-Ride Share Start-Up Company/Ride Share Company - Interview Questions - SOLUTIONS/Phone Screen - SOLUTION.ipynb b/10-Mock Interviews/03-Ride Share Start-Up Company/04-Phone-Screen/Phone Screen - SOLUTION.ipynb
similarity index 100%
rename from 10-Mock Interviews/03-Ride Share Start-Up Company/Ride Share Company - Interview Questions - SOLUTIONS/Phone Screen - SOLUTION.ipynb
rename to 10-Mock Interviews/03-Ride Share Start-Up Company/04-Phone-Screen/Phone Screen - SOLUTION.ipynb
diff --git a/10-Mock Interviews/03-Ride Share Start-Up Company/Ride Share Company - Interview Questions /Phone Screen .ipynb b/10-Mock Interviews/03-Ride Share Start-Up Company/04-Phone-Screen/Phone Screen .ipynb
similarity index 100%
rename from 10-Mock Interviews/03-Ride Share Start-Up Company/Ride Share Company - Interview Questions /Phone Screen .ipynb
rename to 10-Mock Interviews/03-Ride Share Start-Up Company/04-Phone-Screen/Phone Screen .ipynb
diff --git a/10-Mock Interviews/03-Ride Share Start-Up Company/Ride Share Company - Interview Questions - SOLUTIONS/.ipynb_checkpoints/On-Site Question 1 - SOLUTION-checkpoint.ipynb b/10-Mock Interviews/03-Ride Share Start-Up Company/Ride Share Company - Interview Questions - SOLUTIONS/.ipynb_checkpoints/On-Site Question 1 - SOLUTION-checkpoint.ipynb
deleted file mode 100644
index a471b4b1..00000000
--- a/10-Mock Interviews/03-Ride Share Start-Up Company/Ride Share Company - Interview Questions - SOLUTIONS/.ipynb_checkpoints/On-Site Question 1 - SOLUTION-checkpoint.ipynb	
+++ /dev/null
@@ -1,149 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# On-Site Question 1 - SOLUTION\n",
-    "\n",
-    "## Problem\n",
-    "\n",
-    "** Given a list of integers, find the largest product you could make from 3 integers in the list **\n",
-    "\n",
-    "## Requirements\n",
-    "\n",
-    "** You can assume that the list will always have at least 3 integers **\n",
-    "\n",
-    "** Paper/pencil only, don't code this out until you've solved it as far as you can by hand. **"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Solution\n",
-    "\n",
-    "We can solve this problem in O(n) time with O(1) space, we should also be able to take into account negative numbers, so that a list like: [-5,-5,1,3] returns (-5)(-5)(3) = 75 as its answer.\n",
-    "\n",
-    "Hopefully you've begun to realize the similarity between this problem and the Amazon stock problem from the E-Commerce Company mock interview questions! You could brute force this problem by just simply trying every single combination of three digits, but this would require O(n^3) time!\n",
-    "\n",
-    "How about we use a greedy approach and keep track of some numbers. In the stock problem we kept track of max profit so far, in this problem we are actually going to keep track of several numbers:\n",
-    "\n",
-    "* The highest product of 3 numbers so far\n",
-    "* The highest product of 2 numbers so far\n",
-    "* The highest number so far\n",
-    "\n",
-    "Since we want to keep negative numbers in account, we will also keep track of the lowest product of two and the lowest number:\n",
-    "\n",
-    "* The lowest product of 2\n",
-    "* The lowest number\n",
-    "\n",
-    "Once we iterate through the list and reach the end we will have the highest posiible product with 3 numbers. At each iteration we will take the current highest product of 3 and compare it to the current integer multiplied by the highest and lowest products of 2.\n",
-    "\n",
-    "Let's see this coded out:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "def solution(lst):\n",
-    "    \n",
-    "    # Start at index 2 (3rd element) and assign highest and lowest \n",
-    "    # based off of first two elements\n",
-    "    \n",
-    "    # Highest Number so far\n",
-    "    high = max(lst[0],lst[1])\n",
-    "    \n",
-    "    # Lowest number so far\n",
-    "    low = min(lst[0],lst[1])\n",
-    "    \n",
-    "    # Initiate Highest and lowest products of two numbers\n",
-    "    high_prod2 = lst[0]*lst[1]\n",
-    "    low_prod2 = lst[0]*lst[1]\n",
-    "    \n",
-    "    # Initiate highest product of 3 numbers\n",
-    "    high_prod3 = lst[0]*lst[1]*lst[2]\n",
-    "    \n",
-    "    # Iterate through list\n",
-    "    for num in lst[2:]:\n",
-    "        \n",
-    "        # Compare possible highest product of 3 numbers\n",
-    "        high_prod3 = max(high_prod3,num*high_prod2,num*low_prod2)\n",
-    "        \n",
-    "        \n",
-    "        # Check for possible new highest products of 2 numbers\n",
-    "        high_prod2 = max(high_prod2,num*high,num*low)\n",
-    "        \n",
-    "        # Check for possible new lowest products of 2 numbers\n",
-    "        low_prod2 = min(low_prod2,num*high,num*low)\n",
-    "        \n",
-    "        # Check for new possible high\n",
-    "        high = max(high,num)\n",
-    "        \n",
-    "        # Check for new possible low\n",
-    "        low = min(low,num)\n",
-    "        \n",
-    "    return high_prod3"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "763092"
-      ]
-     },
-     "execution_count": 5,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "l = [99,-82,82,40,75,-24,39, -82, 5, 30, -25, -94, 93, -23, 48, 50, 49,-81,41,63]\n",
-    "\n",
-    "solution(l)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Great! Through the use of a greedy approach we have been able to complete the problem in O(n) time. Keep this sort of approach in mind when you have to iterate through a list and a brute force solution is on the order of an exponential!\n",
-    "\n",
-    "# Good Job!"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 2",
-   "language": "python",
-   "name": "python2"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 2
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.11"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 0
-}
diff --git a/10-Mock Interviews/03-Ride Share Start-Up Company/Ride Share Company - Interview Questions - SOLUTIONS/.ipynb_checkpoints/On-Site Question 2 - SOLUTION-checkpoint.ipynb b/10-Mock Interviews/03-Ride Share Start-Up Company/Ride Share Company - Interview Questions - SOLUTIONS/.ipynb_checkpoints/On-Site Question 2 - SOLUTION-checkpoint.ipynb
deleted file mode 100644
index 0c613795..00000000
--- a/10-Mock Interviews/03-Ride Share Start-Up Company/Ride Share Company - Interview Questions - SOLUTIONS/.ipynb_checkpoints/On-Site Question 2 - SOLUTION-checkpoint.ipynb	
+++ /dev/null
@@ -1,115 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# On-Site Question 2 - SOLUTION\n",
-    "\n",
-    "## Problem\n",
-    "\n",
-    "** Write a function that given a target amount of money and a list of possible coin denominations, returns the number of ways to make change for the target amount using the coin denominations**\n",
-    "\n",
-    "## Requirements\n",
-    "\n",
-    "** Write out your work on paper/pencil, then see if you can code up your solution **"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Solution\n",
-    "\n",
-    "This is a classic interview problem, so classic that you've already seen a very similar problem in the recursion section! Make sure to review that problem first before reading our solution here!\n",
-    "\n",
-    "In this solution we will use a [bottom-up](https://en.wikipedia.org/wiki/Top-down_and_bottom-up_design) algorithm.\n",
-    "\n",
-    "* As we iterate through each coin, we are adding the ways of making arr[i - coin] to arr[i]\n",
-    "* If we have 2 ways of making 4, and are now iterating on a coin of value 3, there should be 2 ways of making 7.\n",
-    "* We are essentially adding the coin we are iterating on to the number of ways of making arr[i]."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "def solution(n, coins):\n",
-    "    \n",
-    "    # Set up our array for trakcing results\n",
-    "    arr = [1] + [0] * n\n",
-    "    \n",
-    "    for coin in coins:\n",
-    "        for i in range(coin, n + 1):\n",
-    "            arr[i] += arr[i - coin]\n",
-    "            \n",
-    "    if n == 0:\n",
-    "        return 0\n",
-    "    else:\n",
-    "        return arr[n]\n",
-    "    "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "884"
-      ]
-     },
-     "execution_count": 6,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "solution(100, [1, 2, 3])"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "This solution results in O((m)(n)) with m being the number of coins, where we iterate about n operations. This is O(n) space."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Good Job!"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 2",
-   "language": "python",
-   "name": "python2"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 2
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.11"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 0
-}
diff --git a/10-Mock Interviews/03-Ride Share Start-Up Company/Ride Share Company - Interview Questions - SOLUTIONS/.ipynb_checkpoints/On-Site Question 3 - SOLUTION-checkpoint.ipynb b/10-Mock Interviews/03-Ride Share Start-Up Company/Ride Share Company - Interview Questions - SOLUTIONS/.ipynb_checkpoints/On-Site Question 3 - SOLUTION-checkpoint.ipynb
deleted file mode 100644
index 238cc667..00000000
--- a/10-Mock Interviews/03-Ride Share Start-Up Company/Ride Share Company - Interview Questions - SOLUTIONS/.ipynb_checkpoints/On-Site Question 3 - SOLUTION-checkpoint.ipynb	
+++ /dev/null
@@ -1,121 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# On-Site Question 3 - SOLUTION\n",
-    "\n",
-    "## Problem\n",
-    "\n",
-    "** Given a binary tree, check whether it’s a binary search tree or not. **"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Requirements\n",
-    "\n",
-    "** Use paper/pencil, do not code this in an IDE until you've done it manually**\n",
-    "\n",
-    "** Do not use built-in Python libraries to do this, but do mention them if you know about them **"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Solution\n",
-    "\n",
-    "The first solution that comes to mind is, at every node check whether its value is larger than or equal to its left child and smaller than or equal to its right child (assuming equals can appear at either left or right). However, this approach is erroneous because it doesn’t check whether a node violates any condition with its grandparent or any of its ancestors. \n",
-    "\n",
-    "So, we should keep track of the minimum and maximum values a node can take. And at each node we will check whether its value is between the min and max values it’s allowed to take. The root can take any value between negative infinity and positive infinity. At any node, its left child should be smaller than or equal than its own value, and similarly the right child should be larger than or equal to. So during recursion, we send the current value as the new max to our left child and send the min as it is without changing. And to the right child, we send the current value as the new min and send the max without changing. "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [],
-   "source": [
-    "class Node: \n",
-    "    def __init__(self, val=None): \n",
-    "        self.left, self.right, self.val = None, None, val   \n",
-    "        \n",
-    "INFINITY = float(\"infinity\") \n",
-    "NEG_INFINITY = float(\"-infinity\")  \n",
-    "\n",
-    "def isBST(tree, minVal=NEG_INFINITY, maxVal=INFINITY): \n",
-    "    if tree is None:\n",
-    "        return True   \n",
-    "    if not minVal <= tree.val <= maxVal: \n",
-    "        return False   \n",
-    "    \n",
-    "    return isBST(tree.left, minVal, tree.val) and isBST(tree.right, tree.val, maxVal) "
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "There’s an equally good alternative solution. If a tree is a binary search tree, then traversing the tree inorder should lead to sorted order of the values in the tree. So, we can perform an inorder traversal and check whether the node values are sorted or not."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "def isBST2(tree, lastNode=[NEG_INFINITY]): \n",
-    "    \n",
-    "    if tree is None: \n",
-    "        return True   \n",
-    "    \n",
-    "    if not isBST2(tree.left, lastNode):\n",
-    "        return False   \n",
-    "    \n",
-    "    if tree.val < lastNode[0]: \n",
-    "        return False   \n",
-    "    \n",
-    "    lastNode[0]=tree.val   \n",
-    "    \n",
-    "    return isBST2(tree.right, lastNode) "
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "This is a common interview problem, its relatively simple, but not trivial and shows that someone has a knowledge of binary search trees and tree traversals.\n",
-    "# Good Job!"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 2",
-   "language": "python",
-   "name": "python2"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 2
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.11"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 0
-}
diff --git a/10-Mock Interviews/03-Ride Share Start-Up Company/Ride Share Company - Interview Questions - SOLUTIONS/.ipynb_checkpoints/Phone Screen - SOLUTION-checkpoint.ipynb b/10-Mock Interviews/03-Ride Share Start-Up Company/Ride Share Company - Interview Questions - SOLUTIONS/.ipynb_checkpoints/Phone Screen - SOLUTION-checkpoint.ipynb
deleted file mode 100644
index 662e8373..00000000
--- a/10-Mock Interviews/03-Ride Share Start-Up Company/Ride Share Company - Interview Questions - SOLUTIONS/.ipynb_checkpoints/Phone Screen - SOLUTION-checkpoint.ipynb	
+++ /dev/null
@@ -1,53 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Phone Screen - SOLUTION\n",
-    "\n",
-    "## Problem\n",
-    "\n",
-    "** If you were given a list of n integers and knew that they were sorted, how quickly could you check if a given integer was in the list? Elaborate on your reasoning and search methods in general**\n",
-    "\n",
-    "## Requirements\n",
-    "\n",
-    "** Try explaining your solution to someone and see if it makes sense ot them. Don't code anything for this problem **"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Solution\n",
-    "\n",
-    "Hopefully this problem sounds familiar! We can use a binary search to search for an intger since the list is already sorted! This means we can find the item in [O(logn) time and O(1) space](http://bigocheatsheet.com/)!\n",
-    "\n",
-    "Revisit the lectures on Binary Search and its implementation to fully get the reasoning behind this solution and problem!\n",
-    "\n",
-    "# Good Job!"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 2",
-   "language": "python",
-   "name": "python2"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 2
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.11"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 0
-}
diff --git a/10-Mock Interviews/03-Ride Share Start-Up Company/Ride Share Company - Interview Questions /.ipynb_checkpoints/On-Site Question 1 -checkpoint.ipynb b/10-Mock Interviews/03-Ride Share Start-Up Company/Ride Share Company - Interview Questions /.ipynb_checkpoints/On-Site Question 1 -checkpoint.ipynb
deleted file mode 100644
index ccfa72f7..00000000
--- a/10-Mock Interviews/03-Ride Share Start-Up Company/Ride Share Company - Interview Questions /.ipynb_checkpoints/On-Site Question 1 -checkpoint.ipynb	
+++ /dev/null
@@ -1,49 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# On-Site Question 1 \n",
-    "\n",
-    "## Problem\n",
-    "\n",
-    "** Given a list of integers, find the largest product you could make from 3 integers in the list **\n",
-    "\n",
-    "## Requirements\n",
-    "\n",
-    "** You can assume that the list will always have at least 3 integers **\n",
-    "\n",
-    "** Paper/pencil only, don't code this out until you've solved it as far as you can by hand. **"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Good Luck!"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 2",
-   "language": "python",
-   "name": "python2"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 2
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.11"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 0
-}
diff --git a/10-Mock Interviews/03-Ride Share Start-Up Company/Ride Share Company - Interview Questions /.ipynb_checkpoints/On-Site Question 2 -checkpoint.ipynb b/10-Mock Interviews/03-Ride Share Start-Up Company/Ride Share Company - Interview Questions /.ipynb_checkpoints/On-Site Question 2 -checkpoint.ipynb
deleted file mode 100644
index cd47095c..00000000
--- a/10-Mock Interviews/03-Ride Share Start-Up Company/Ride Share Company - Interview Questions /.ipynb_checkpoints/On-Site Question 2 -checkpoint.ipynb	
+++ /dev/null
@@ -1,47 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# On-Site Question 2 \n",
-    "\n",
-    "## Problem\n",
-    "\n",
-    "** Write a function that given a target amount of money and a list of possible coin denominations, returns the number of ways to make change for the target amount using the coin denominations**\n",
-    "\n",
-    "## Requirements\n",
-    "\n",
-    "** Write out your work on paper/pencil, then see if you can code up your solution **"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Good Luck!"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 2",
-   "language": "python",
-   "name": "python2"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 2
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.11"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 0
-}
diff --git a/10-Mock Interviews/03-Ride Share Start-Up Company/Ride Share Company - Interview Questions /.ipynb_checkpoints/On-Site Question 3 -checkpoint.ipynb b/10-Mock Interviews/03-Ride Share Start-Up Company/Ride Share Company - Interview Questions /.ipynb_checkpoints/On-Site Question 3 -checkpoint.ipynb
deleted file mode 100644
index 380ec415..00000000
--- a/10-Mock Interviews/03-Ride Share Start-Up Company/Ride Share Company - Interview Questions /.ipynb_checkpoints/On-Site Question 3 -checkpoint.ipynb	
+++ /dev/null
@@ -1,54 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# On-Site Question 3 \n",
-    "\n",
-    "## Problem\n",
-    "\n",
-    "** Given a binary tree, check whether it’s a binary search tree or not. **"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Requirements\n",
-    "\n",
-    "** Use paper/pencil, do not code this in an IDE until you've done it manually**\n",
-    "\n",
-    "** Do not use built-in Python libraries to do this, but do mention them if you know about them **"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Good Luck!"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 2",
-   "language": "python",
-   "name": "python2"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 2
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.11"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 0
-}
diff --git a/10-Mock Interviews/03-Ride Share Start-Up Company/Ride Share Company - Interview Questions /.ipynb_checkpoints/Phone Screen -checkpoint.ipynb b/10-Mock Interviews/03-Ride Share Start-Up Company/Ride Share Company - Interview Questions /.ipynb_checkpoints/Phone Screen -checkpoint.ipynb
deleted file mode 100644
index 062944af..00000000
--- a/10-Mock Interviews/03-Ride Share Start-Up Company/Ride Share Company - Interview Questions /.ipynb_checkpoints/Phone Screen -checkpoint.ipynb	
+++ /dev/null
@@ -1,47 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Phone Screen \n",
-    "\n",
-    "## Problem\n",
-    "\n",
-    "** If you were given a list of n integers and knew that they were sorted, how quickly could you check if a given integer was in the list? Elaborate on your reasoning and search methods in general**\n",
-    "\n",
-    "## Requirements\n",
-    "\n",
-    "** Try explaining your solution to someone and see if it makes sense ot them. Don't code anything for this problem **"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Good Luck!"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 2",
-   "language": "python",
-   "name": "python2"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 2
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.11"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 0
-}
diff --git a/10-Mock Interviews/04-Social Network Company/Social Network Company - Interview Questions - SOLUTIONS/On-Site Question 1 - SOLUTION.ipynb b/10-Mock Interviews/04-Social Network Company/01-On-Site-Question-1/On-Site Question 1 - SOLUTION.ipynb
similarity index 100%
rename from 10-Mock Interviews/04-Social Network Company/Social Network Company - Interview Questions - SOLUTIONS/On-Site Question 1 - SOLUTION.ipynb
rename to 10-Mock Interviews/04-Social Network Company/01-On-Site-Question-1/On-Site Question 1 - SOLUTION.ipynb
diff --git a/10-Mock Interviews/04-Social Network Company/Social Network Company - Interview Questions /On-Site Question 1.ipynb b/10-Mock Interviews/04-Social Network Company/01-On-Site-Question-1/On-Site Question 1.ipynb
similarity index 100%
rename from 10-Mock Interviews/04-Social Network Company/Social Network Company - Interview Questions /On-Site Question 1.ipynb
rename to 10-Mock Interviews/04-Social Network Company/01-On-Site-Question-1/On-Site Question 1.ipynb
diff --git a/10-Mock Interviews/04-Social Network Company/Social Network Company - Interview Questions - SOLUTIONS/On-Site Question 2 - SOLUTION.ipynb b/10-Mock Interviews/04-Social Network Company/02-On-Site-Question-2/On-Site Question 2 - SOLUTION.ipynb
similarity index 100%
rename from 10-Mock Interviews/04-Social Network Company/Social Network Company - Interview Questions - SOLUTIONS/On-Site Question 2 - SOLUTION.ipynb
rename to 10-Mock Interviews/04-Social Network Company/02-On-Site-Question-2/On-Site Question 2 - SOLUTION.ipynb
diff --git a/10-Mock Interviews/04-Social Network Company/Social Network Company - Interview Questions /On-Site Question 2.ipynb b/10-Mock Interviews/04-Social Network Company/02-On-Site-Question-2/On-Site Question 2.ipynb
similarity index 100%
rename from 10-Mock Interviews/04-Social Network Company/Social Network Company - Interview Questions /On-Site Question 2.ipynb
rename to 10-Mock Interviews/04-Social Network Company/02-On-Site-Question-2/On-Site Question 2.ipynb
diff --git a/10-Mock Interviews/04-Social Network Company/Social Network Company - Interview Questions - SOLUTIONS/On-Site Question 3 - SOLUTION.ipynb b/10-Mock Interviews/04-Social Network Company/03-On-Site-Question-3/On-Site Question 3 - SOLUTION.ipynb
similarity index 100%
rename from 10-Mock Interviews/04-Social Network Company/Social Network Company - Interview Questions - SOLUTIONS/On-Site Question 3 - SOLUTION.ipynb
rename to 10-Mock Interviews/04-Social Network Company/03-On-Site-Question-3/On-Site Question 3 - SOLUTION.ipynb
diff --git a/10-Mock Interviews/04-Social Network Company/Social Network Company - Interview Questions /On-Site Question 3.ipynb b/10-Mock Interviews/04-Social Network Company/03-On-Site-Question-3/On-Site Question 3.ipynb
similarity index 100%
rename from 10-Mock Interviews/04-Social Network Company/Social Network Company - Interview Questions /On-Site Question 3.ipynb
rename to 10-Mock Interviews/04-Social Network Company/03-On-Site-Question-3/On-Site Question 3.ipynb
diff --git a/10-Mock Interviews/04-Social Network Company/Social Network Company - Interview Questions - SOLUTIONS/Phone Screen - SOLUTION.ipynb b/10-Mock Interviews/04-Social Network Company/04-Phone-Screen/Phone Screen - SOLUTION.ipynb
similarity index 100%
rename from 10-Mock Interviews/04-Social Network Company/Social Network Company - Interview Questions - SOLUTIONS/Phone Screen - SOLUTION.ipynb
rename to 10-Mock Interviews/04-Social Network Company/04-Phone-Screen/Phone Screen - SOLUTION.ipynb
diff --git a/10-Mock Interviews/04-Social Network Company/Social Network Company - Interview Questions /Phone Screen .ipynb b/10-Mock Interviews/04-Social Network Company/04-Phone-Screen/Phone Screen .ipynb
similarity index 100%
rename from 10-Mock Interviews/04-Social Network Company/Social Network Company - Interview Questions /Phone Screen .ipynb
rename to 10-Mock Interviews/04-Social Network Company/04-Phone-Screen/Phone Screen .ipynb
diff --git a/10-Mock Interviews/04-Social Network Company/Social Network Company - Interview Questions - SOLUTIONS/.ipynb_checkpoints/On-Site Question 1 - SOLUTION-checkpoint.ipynb b/10-Mock Interviews/04-Social Network Company/Social Network Company - Interview Questions - SOLUTIONS/.ipynb_checkpoints/On-Site Question 1 - SOLUTION-checkpoint.ipynb
deleted file mode 100644
index f00525dd..00000000
--- a/10-Mock Interviews/04-Social Network Company/Social Network Company - Interview Questions - SOLUTIONS/.ipynb_checkpoints/On-Site Question 1 - SOLUTION-checkpoint.ipynb	
+++ /dev/null
@@ -1,138 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# On-Site Question 1 - SOLUTION\n",
-    "\n",
-    "## Problem\n",
-    "\n",
-    "** Given a list of integers and a target number, write a function that returns a boolean indicating if its possible to sum two integers from the list to reach the target number **\n",
-    "\n",
-    "## Requirements\n",
-    "\n",
-    "** Try pen/paper before coding out your solution **\n",
-    "\n",
-    "** You can not use an integer element twice. Optimize for time over space **"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {
-    "collapsed": true
-   },
-   "source": [
-    "## Solution\n",
-    "\n",
-    "For this problem we will take advantage of a **set** data structure. We will make a single pass through the list of integers, treating each element as the first integer of our possible sum.\n",
-    "\n",
-    "At each iteration we will check to see if there is a second integer which will allow us hit the target number, adn we will use a set to check if we've already seen it in our list.\n",
-    "\n",
-    "We will then update our seen set by adding the current number in the iteration to it.\n",
-    "\n",
-    "Let's see this coded out:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "def solution(lst,target):\n",
-    "    \n",
-    "    # Create set to keep track of duplicates\n",
-    "    seen = set()\n",
-    "    \n",
-    "    # We want to find if there is a num2 that sums with num to reach the target\n",
-    "    \n",
-    "    for num in lst:\n",
-    "        \n",
-    "        num2 = target - num\n",
-    "        \n",
-    "        if num2 in seen:\n",
-    "            return True\n",
-    "        \n",
-    "        seen.add(num)\n",
-    "        \n",
-    "    # If we never find a pair match which creates the sum\n",
-    "    return False"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "True"
-      ]
-     },
-     "execution_count": 6,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "solution([1,3,5,1,7],4)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "False"
-      ]
-     },
-     "execution_count": 7,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "solution([1,3,5,1,7],14)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Good Job!"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 2",
-   "language": "python",
-   "name": "python2"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 2
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.11"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 0
-}
diff --git a/10-Mock Interviews/04-Social Network Company/Social Network Company - Interview Questions - SOLUTIONS/.ipynb_checkpoints/On-Site Question 2 - SOLUTION-checkpoint.ipynb b/10-Mock Interviews/04-Social Network Company/Social Network Company - Interview Questions - SOLUTIONS/.ipynb_checkpoints/On-Site Question 2 - SOLUTION-checkpoint.ipynb
deleted file mode 100644
index 7d049b8a..00000000
--- a/10-Mock Interviews/04-Social Network Company/Social Network Company - Interview Questions - SOLUTIONS/.ipynb_checkpoints/On-Site Question 2 - SOLUTION-checkpoint.ipynb	
+++ /dev/null
@@ -1,86 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# On-Site Question 2 - SOLUTION\n",
-    "\n",
-    "## Problem\n",
-    "\n",
-    "** Given a list of account ID numbers (integers) which contains duplicates , find the one unique integer. (the list is guaranteed to only have one unique (non-duplicated) integer **\n",
-    "\n",
-    "## Requirements\n",
-    "\n",
-    "** Do not use built-in Python functions or methods **"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {
-    "collapsed": true
-   },
-   "source": [
-    "## Solution\n",
-    "\n",
-    "This should feel very familiar to one of the problems we did in the array section of the course! We can use an [XOR](https://en.wikipedia.org/wiki/Exclusive_or) operation. The **exclusive or** operations will take two sets of bits and for each pair it will return a 1 value if **one but not both** of the bits is 1.\n",
-    "\n",
-    "In Python we can use the ^ symbol to perform an XOR.\n",
-    "\n",
-    "Now for our solution we can simply XOR all the integers in the list. We start with a unique id set to 0, then every time we XOR a new id from the list, it will change the bits. When we XOR with the same ID again, it will cancel out the earlier change.\n",
-    "\n",
-    "By the end, we wil be left with the ID that was unique and only appeared once!"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "def solution(id_list):\n",
-    "    \n",
-    "    # Initiate unique Id\n",
-    "    unique_id = 0\n",
-    "    \n",
-    "    # XOR fo revery id in id list\n",
-    "    for i in id_list:\n",
-    "        \n",
-    "        # XOR operation\n",
-    "        unique_id ^= i\n",
-    "    \n",
-    "    return unique_id"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Good Job!"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 2",
-   "language": "python",
-   "name": "python2"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 2
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.11"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 0
-}
diff --git a/10-Mock Interviews/04-Social Network Company/Social Network Company - Interview Questions - SOLUTIONS/.ipynb_checkpoints/On-Site Question 3 - SOLUTION-checkpoint.ipynb b/10-Mock Interviews/04-Social Network Company/Social Network Company - Interview Questions - SOLUTIONS/.ipynb_checkpoints/On-Site Question 3 - SOLUTION-checkpoint.ipynb
deleted file mode 100644
index 62cbf2b9..00000000
--- a/10-Mock Interviews/04-Social Network Company/Social Network Company - Interview Questions - SOLUTIONS/.ipynb_checkpoints/On-Site Question 3 - SOLUTION-checkpoint.ipynb	
+++ /dev/null
@@ -1,116 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# On-Site Question 3 - SOLUTION\n",
-    "\n",
-    "## Problem\n",
-    "\n",
-    "** Create a function that takes in a list of unsorted prices (integers) and a maximum possible price value, and return a sorted list of prices**\n",
-    "\n",
-    "## Requirements\n",
-    "\n",
-    "** Your function should be able to perform this in less than O(nlogn) time. **"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {
-    "collapsed": true
-   },
-   "source": [
-    "## Solution\n",
-    "\n",
-    "We can actually solve this problem by using a [*counting sort*](https://en.wikipedia.org/wiki/Counting_sort). Basically a counting sort works well when you know the range of integer values you will have ahead of time.\n",
-    "\n",
-    "Read the wikipedia article linked above for a full break down, and an implementation is here below (using the prices situation described in the problem above)."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "def solution(unsorted_prices,max_price):\n",
-    "    \n",
-    "    # list of 0s at indices 0 to max_price\n",
-    "    prices_to_counts = [0]* (max_price+1)\n",
-    "    \n",
-    "    # populate prices\n",
-    "    for price in unsorted_prices:\n",
-    "        prices_to_counts[price] +=1\n",
-    "        \n",
-    "    # populate final sorted prices\n",
-    "    sorted_prices = []\n",
-    "    \n",
-    "    # For each price in prices_to_counts\n",
-    "    for price,count in enumerate(prices_to_counts):\n",
-    "        \n",
-    "        # for the number of times the element occurs\n",
-    "        for time in range(count):\n",
-    "            \n",
-    "            # add it to the sorted price list\n",
-    "            sorted_prices.append(price)\n",
-    "            \n",
-    "    return sorted_prices"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "[2, 3, 4, 6, 7, 8, 9]"
-      ]
-     },
-     "execution_count": 3,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "solution([4,6,2,7,3,8,9],9)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "This was a great exercise in learning about a new sorting algorithm, make sure to read up on it and practice this problem again!\n",
-    "\n",
-    "# Good Job!"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 2",
-   "language": "python",
-   "name": "python2"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 2
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.11"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 0
-}
diff --git a/10-Mock Interviews/04-Social Network Company/Social Network Company - Interview Questions - SOLUTIONS/.ipynb_checkpoints/Phone Screen - SOLUTION-checkpoint.ipynb b/10-Mock Interviews/04-Social Network Company/Social Network Company - Interview Questions - SOLUTIONS/.ipynb_checkpoints/Phone Screen - SOLUTION-checkpoint.ipynb
deleted file mode 100644
index fe61bd16..00000000
--- a/10-Mock Interviews/04-Social Network Company/Social Network Company - Interview Questions - SOLUTIONS/.ipynb_checkpoints/Phone Screen - SOLUTION-checkpoint.ipynb	
+++ /dev/null
@@ -1,87 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Phone Screen - SOLUTION\n",
-    "\n",
-    "## Problem \n",
-    "\n",
-    "** Remove duplicate characters in a given string keeping only the first occurrences. For example, if the input is ‘tree traversal’ the output will be ‘tre avsl’. **\n",
-    "\n",
-    "## Requirements\n",
-    "\n",
-    "**Complete this problem on a text editor that does not have syntax highlighting, such as  a goolge doc!**"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Solution\n",
-    "\n",
-    "We need a data structure to keep track of the characters we have seen so far, which can perform efficient find operation. If the input is guaranteed to be in standard ASCII form, we can just create a boolean array of size 128 and perform lookups by accessing the index of the character’s ASCII value in constant time. But if the string is Unicode then we would need a much larger array of size more than 100K, which will be a waste since most of it would generally be unused.\n",
-    "\n",
-    "Set data structure perfectly suits our purpose. It stores keys and provides constant time search for key existence. So, we’ll loop over the characters of the string, and at each iteration we’ll check whether we have seen the current character before by searching the set. If it’s in the set then it means we’ve seen it before, so we ignore it. Otherwise, we include it in the result and add it to the set to keep track for future reference. The code is easier to understand:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "def removeDuplicates(string): \n",
-    "    result=[] \n",
-    "    seen=set() \n",
-    "    \n",
-    "    for char in string: \n",
-    "        if char not in seen: \n",
-    "            seen.add(char) \n",
-    "            result.append(char)\n",
-    "            \n",
-    "    return ''.join(result) "
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "The time complexity of the algorithm is O(N) where N is the number of characters in the input string, because set supports O(1) insert and find. This is an optimal solution to one of the most common string interview questions. \n",
-    "\n",
-    "This problem should have felt very similar to some other array questions you've been asked! Remember that many basic interview question ideas overlap, just their presentation is different!"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Good Job!"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 2",
-   "language": "python",
-   "name": "python2"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 2
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.11"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 0
-}
diff --git a/10-Mock Interviews/04-Social Network Company/Social Network Company - Interview Questions /.ipynb_checkpoints/On-Site Question 1-checkpoint.ipynb b/10-Mock Interviews/04-Social Network Company/Social Network Company - Interview Questions /.ipynb_checkpoints/On-Site Question 1-checkpoint.ipynb
deleted file mode 100644
index a72a4672..00000000
--- a/10-Mock Interviews/04-Social Network Company/Social Network Company - Interview Questions /.ipynb_checkpoints/On-Site Question 1-checkpoint.ipynb	
+++ /dev/null
@@ -1,49 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# On-Site Question 1 \n",
-    "\n",
-    "## Problem\n",
-    "\n",
-    "** Given a list of integers and a target number, write a function that returns a boolean indicating if its possible to sum two integers from the list to reach the target number **\n",
-    "\n",
-    "## Requirements\n",
-    "\n",
-    "** Try pen/paper before coding out your solution **\n",
-    "\n",
-    "** You can not use an integer element twice. Optimize for time over space **"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Good Luck!"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 2",
-   "language": "python",
-   "name": "python2"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 2
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.11"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 0
-}
diff --git a/10-Mock Interviews/04-Social Network Company/Social Network Company - Interview Questions /.ipynb_checkpoints/On-Site Question 2-checkpoint.ipynb b/10-Mock Interviews/04-Social Network Company/Social Network Company - Interview Questions /.ipynb_checkpoints/On-Site Question 2-checkpoint.ipynb
deleted file mode 100644
index e65f70c4..00000000
--- a/10-Mock Interviews/04-Social Network Company/Social Network Company - Interview Questions /.ipynb_checkpoints/On-Site Question 2-checkpoint.ipynb	
+++ /dev/null
@@ -1,47 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# On-Site Question 2 \n",
-    "\n",
-    "## Problem\n",
-    "\n",
-    "** Given a list of account ID numbers (integers) which contains duplicates , find the one unique integer. (the list is guaranteed to only have one unique (non-duplicated) integer **\n",
-    "\n",
-    "## Requirements\n",
-    "\n",
-    "** Do not use built-in Python functions or methods **"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Good Luck!"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 2",
-   "language": "python",
-   "name": "python2"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 2
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.11"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 0
-}
diff --git a/10-Mock Interviews/04-Social Network Company/Social Network Company - Interview Questions /.ipynb_checkpoints/On-Site Question 3-checkpoint.ipynb b/10-Mock Interviews/04-Social Network Company/Social Network Company - Interview Questions /.ipynb_checkpoints/On-Site Question 3-checkpoint.ipynb
deleted file mode 100644
index 139bd6c5..00000000
--- a/10-Mock Interviews/04-Social Network Company/Social Network Company - Interview Questions /.ipynb_checkpoints/On-Site Question 3-checkpoint.ipynb	
+++ /dev/null
@@ -1,47 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# On-Site Question 3 \n",
-    "\n",
-    "## Problem\n",
-    "\n",
-    "** Create a function that takes in a list of unsorted prices (integers) and a maximum possible price value, and return a sorted list of prices**\n",
-    "\n",
-    "## Requirements\n",
-    "\n",
-    "** Your function should be able to perform this in less than O(nlogn) time. **"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Good Luck!"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 2",
-   "language": "python",
-   "name": "python2"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 2
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.11"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 0
-}
diff --git a/10-Mock Interviews/04-Social Network Company/Social Network Company - Interview Questions /.ipynb_checkpoints/Phone Screen -checkpoint.ipynb b/10-Mock Interviews/04-Social Network Company/Social Network Company - Interview Questions /.ipynb_checkpoints/Phone Screen -checkpoint.ipynb
deleted file mode 100644
index d082e4e5..00000000
--- a/10-Mock Interviews/04-Social Network Company/Social Network Company - Interview Questions /.ipynb_checkpoints/Phone Screen -checkpoint.ipynb	
+++ /dev/null
@@ -1,47 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Phone Screen \n",
-    "\n",
-    "## Problem \n",
-    "\n",
-    "** Remove duplicate characters in a given string keeping only the first occurrences. For example, if the input is ‘tree traversal’ the output will be ‘tre avsl’. **\n",
-    "\n",
-    "## Requirements\n",
-    "\n",
-    "**Complete this problem on a text editor that does not have syntax highlighting, such as  a goolge doc!**"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Good Luck!"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 2",
-   "language": "python",
-   "name": "python2"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 2
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.11"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 0
-}

From 3978b79fd537200f132d0f9d30393f5e77de52f3 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Damian=20Turczy=C5=84ski?= <damtur@outlook.com>
Date: Wed, 29 Dec 2021 10:53:26 +0000
Subject: [PATCH 4/9] Rename folder so it can be checked out in Windows

---
 .../Implement a Doubly Linked List-checkpoint.ipynb               | 0
 .../Implement a Singly Linked List-checkpoint.ipynb               | 0
 .../Linked List Nth to Last Node -checkpoint.ipynb                | 0
 .../.ipynb_checkpoints/Linked List Reversal -checkpoint.ipynb     | 0
 .../Singly Linked List Cycle Check-checkpoint.ipynb               | 0
 .../Implement a Doubly Linked List.ipynb                          | 0
 .../Implement a Singly Linked List.ipynb                          | 0
 .../Linked List Nth to Last Node .ipynb                           | 0
 .../Linked List Reversal .ipynb                                   | 0
 .../Singly Linked List Cycle Check.ipynb                          | 0
 10 files changed, 0 insertions(+), 0 deletions(-)
 rename Linked Lists/Linked Lists Interview Problems/{Linked List Interview Problems  => Linked List Interview Problems}/.ipynb_checkpoints/Implement a Doubly Linked List-checkpoint.ipynb (100%)
 rename Linked Lists/Linked Lists Interview Problems/{Linked List Interview Problems  => Linked List Interview Problems}/.ipynb_checkpoints/Implement a Singly Linked List-checkpoint.ipynb (100%)
 rename Linked Lists/Linked Lists Interview Problems/{Linked List Interview Problems  => Linked List Interview Problems}/.ipynb_checkpoints/Linked List Nth to Last Node -checkpoint.ipynb (100%)
 rename Linked Lists/Linked Lists Interview Problems/{Linked List Interview Problems  => Linked List Interview Problems}/.ipynb_checkpoints/Linked List Reversal -checkpoint.ipynb (100%)
 rename Linked Lists/Linked Lists Interview Problems/{Linked List Interview Problems  => Linked List Interview Problems}/.ipynb_checkpoints/Singly Linked List Cycle Check-checkpoint.ipynb (100%)
 rename Linked Lists/Linked Lists Interview Problems/{Linked List Interview Problems  => Linked List Interview Problems}/Implement a Doubly Linked List.ipynb (100%)
 rename Linked Lists/Linked Lists Interview Problems/{Linked List Interview Problems  => Linked List Interview Problems}/Implement a Singly Linked List.ipynb (100%)
 rename Linked Lists/Linked Lists Interview Problems/{Linked List Interview Problems  => Linked List Interview Problems}/Linked List Nth to Last Node .ipynb (100%)
 rename Linked Lists/Linked Lists Interview Problems/{Linked List Interview Problems  => Linked List Interview Problems}/Linked List Reversal .ipynb (100%)
 rename Linked Lists/Linked Lists Interview Problems/{Linked List Interview Problems  => Linked List Interview Problems}/Singly Linked List Cycle Check.ipynb (100%)

diff --git a/Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems /.ipynb_checkpoints/Implement a Doubly Linked List-checkpoint.ipynb b/Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems/.ipynb_checkpoints/Implement a Doubly Linked List-checkpoint.ipynb
similarity index 100%
rename from Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems /.ipynb_checkpoints/Implement a Doubly Linked List-checkpoint.ipynb
rename to Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems/.ipynb_checkpoints/Implement a Doubly Linked List-checkpoint.ipynb
diff --git a/Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems /.ipynb_checkpoints/Implement a Singly Linked List-checkpoint.ipynb b/Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems/.ipynb_checkpoints/Implement a Singly Linked List-checkpoint.ipynb
similarity index 100%
rename from Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems /.ipynb_checkpoints/Implement a Singly Linked List-checkpoint.ipynb
rename to Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems/.ipynb_checkpoints/Implement a Singly Linked List-checkpoint.ipynb
diff --git a/Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems /.ipynb_checkpoints/Linked List Nth to Last Node -checkpoint.ipynb b/Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems/.ipynb_checkpoints/Linked List Nth to Last Node -checkpoint.ipynb
similarity index 100%
rename from Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems /.ipynb_checkpoints/Linked List Nth to Last Node -checkpoint.ipynb
rename to Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems/.ipynb_checkpoints/Linked List Nth to Last Node -checkpoint.ipynb
diff --git a/Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems /.ipynb_checkpoints/Linked List Reversal -checkpoint.ipynb b/Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems/.ipynb_checkpoints/Linked List Reversal -checkpoint.ipynb
similarity index 100%
rename from Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems /.ipynb_checkpoints/Linked List Reversal -checkpoint.ipynb
rename to Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems/.ipynb_checkpoints/Linked List Reversal -checkpoint.ipynb
diff --git a/Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems /.ipynb_checkpoints/Singly Linked List Cycle Check-checkpoint.ipynb b/Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems/.ipynb_checkpoints/Singly Linked List Cycle Check-checkpoint.ipynb
similarity index 100%
rename from Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems /.ipynb_checkpoints/Singly Linked List Cycle Check-checkpoint.ipynb
rename to Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems/.ipynb_checkpoints/Singly Linked List Cycle Check-checkpoint.ipynb
diff --git a/Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems /Implement a Doubly Linked List.ipynb b/Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems/Implement a Doubly Linked List.ipynb
similarity index 100%
rename from Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems /Implement a Doubly Linked List.ipynb
rename to Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems/Implement a Doubly Linked List.ipynb
diff --git a/Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems /Implement a Singly Linked List.ipynb b/Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems/Implement a Singly Linked List.ipynb
similarity index 100%
rename from Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems /Implement a Singly Linked List.ipynb
rename to Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems/Implement a Singly Linked List.ipynb
diff --git a/Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems /Linked List Nth to Last Node .ipynb b/Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems/Linked List Nth to Last Node .ipynb
similarity index 100%
rename from Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems /Linked List Nth to Last Node .ipynb
rename to Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems/Linked List Nth to Last Node .ipynb
diff --git a/Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems /Linked List Reversal .ipynb b/Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems/Linked List Reversal .ipynb
similarity index 100%
rename from Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems /Linked List Reversal .ipynb
rename to Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems/Linked List Reversal .ipynb
diff --git a/Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems /Singly Linked List Cycle Check.ipynb b/Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems/Singly Linked List Cycle Check.ipynb
similarity index 100%
rename from Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems /Singly Linked List Cycle Check.ipynb
rename to Linked Lists/Linked Lists Interview Problems/Linked List Interview Problems/Singly Linked List Cycle Check.ipynb

From a89c1fb375ffbeecb614e2882aa4c8c7b60618b5 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Damian=20Turczy=C5=84ski?= <damtur@outlook.com>
Date: Wed, 29 Dec 2021 11:03:10 +0000
Subject: [PATCH 5/9] Fix trailing whitespace

---
 .../On-Site Question 1 - SOLUTION-checkpoint.ipynb                | 0
 .../On-Site Question 2 - SOLUTION-checkpoint.ipynb                | 0
 .../On-Site Question 3 -SOLUTION-checkpoint.ipynb                 | 0
 .../On-Site Question 4 - SOLUTION-checkpoint.ipynb                | 0
 .../.ipynb_checkpoints/Phone Screen-checkpoint.ipynb              | 0
 .../On-Site Question 1 - SOLUTION.ipynb                           | 0
 .../On-Site Question 2 - SOLUTION.ipynb                           | 0
 .../On-Site Question 3 -SOLUTION.ipynb                            | 0
 .../On-Site Question 4 - SOLUTION.ipynb                           | 0
 .../Phone Screen.ipynb                                            | 0
 .../.ipynb_checkpoints/On-Site Question 1 -checkpoint.ipynb       | 0
 .../.ipynb_checkpoints/On-Site Question 2 -checkpoint.ipynb       | 0
 .../.ipynb_checkpoints/On-Site Question 3 -checkpoint.ipynb       | 0
 .../.ipynb_checkpoints/On-Site Question 4 -checkpoint.ipynb       | 0
 .../.ipynb_checkpoints/Phone Screen-checkpoint.ipynb              | 0
 .../On-Site Question 1 .ipynb                                     | 0
 .../On-Site Question 2 .ipynb                                     | 0
 .../On-Site Question 3 .ipynb                                     | 0
 .../On-Site Question 4 .ipynb                                     | 0
 .../Search Engine Company - Interview Problems/Phone Screen.ipynb | 0
 20 files changed, 0 insertions(+), 0 deletions(-)
 rename Mock Interviews/{Large Search Engine Company  => Large Search Engine Company}/Search Engine Company - Interview Problems - SOLUTIONS/.ipynb_checkpoints/On-Site Question 1 - SOLUTION-checkpoint.ipynb (100%)
 rename Mock Interviews/{Large Search Engine Company  => Large Search Engine Company}/Search Engine Company - Interview Problems - SOLUTIONS/.ipynb_checkpoints/On-Site Question 2 - SOLUTION-checkpoint.ipynb (100%)
 rename Mock Interviews/{Large Search Engine Company  => Large Search Engine Company}/Search Engine Company - Interview Problems - SOLUTIONS/.ipynb_checkpoints/On-Site Question 3 -SOLUTION-checkpoint.ipynb (100%)
 rename Mock Interviews/{Large Search Engine Company  => Large Search Engine Company}/Search Engine Company - Interview Problems - SOLUTIONS/.ipynb_checkpoints/On-Site Question 4 - SOLUTION-checkpoint.ipynb (100%)
 rename Mock Interviews/{Large Search Engine Company  => Large Search Engine Company}/Search Engine Company - Interview Problems - SOLUTIONS/.ipynb_checkpoints/Phone Screen-checkpoint.ipynb (100%)
 rename Mock Interviews/{Large Search Engine Company  => Large Search Engine Company}/Search Engine Company - Interview Problems - SOLUTIONS/On-Site Question 1 - SOLUTION.ipynb (100%)
 rename Mock Interviews/{Large Search Engine Company  => Large Search Engine Company}/Search Engine Company - Interview Problems - SOLUTIONS/On-Site Question 2 - SOLUTION.ipynb (100%)
 rename Mock Interviews/{Large Search Engine Company  => Large Search Engine Company}/Search Engine Company - Interview Problems - SOLUTIONS/On-Site Question 3 -SOLUTION.ipynb (100%)
 rename Mock Interviews/{Large Search Engine Company  => Large Search Engine Company}/Search Engine Company - Interview Problems - SOLUTIONS/On-Site Question 4 - SOLUTION.ipynb (100%)
 rename Mock Interviews/{Large Search Engine Company  => Large Search Engine Company}/Search Engine Company - Interview Problems - SOLUTIONS/Phone Screen.ipynb (100%)
 rename Mock Interviews/{Large Search Engine Company  => Large Search Engine Company}/Search Engine Company - Interview Problems/.ipynb_checkpoints/On-Site Question 1 -checkpoint.ipynb (100%)
 rename Mock Interviews/{Large Search Engine Company  => Large Search Engine Company}/Search Engine Company - Interview Problems/.ipynb_checkpoints/On-Site Question 2 -checkpoint.ipynb (100%)
 rename Mock Interviews/{Large Search Engine Company  => Large Search Engine Company}/Search Engine Company - Interview Problems/.ipynb_checkpoints/On-Site Question 3 -checkpoint.ipynb (100%)
 rename Mock Interviews/{Large Search Engine Company  => Large Search Engine Company}/Search Engine Company - Interview Problems/.ipynb_checkpoints/On-Site Question 4 -checkpoint.ipynb (100%)
 rename Mock Interviews/{Large Search Engine Company  => Large Search Engine Company}/Search Engine Company - Interview Problems/.ipynb_checkpoints/Phone Screen-checkpoint.ipynb (100%)
 rename Mock Interviews/{Large Search Engine Company  => Large Search Engine Company}/Search Engine Company - Interview Problems/On-Site Question 1 .ipynb (100%)
 rename Mock Interviews/{Large Search Engine Company  => Large Search Engine Company}/Search Engine Company - Interview Problems/On-Site Question 2 .ipynb (100%)
 rename Mock Interviews/{Large Search Engine Company  => Large Search Engine Company}/Search Engine Company - Interview Problems/On-Site Question 3 .ipynb (100%)
 rename Mock Interviews/{Large Search Engine Company  => Large Search Engine Company}/Search Engine Company - Interview Problems/On-Site Question 4 .ipynb (100%)
 rename Mock Interviews/{Large Search Engine Company  => Large Search Engine Company}/Search Engine Company - Interview Problems/Phone Screen.ipynb (100%)

diff --git a/Mock Interviews/Large Search Engine Company /Search Engine Company - Interview Problems - SOLUTIONS/.ipynb_checkpoints/On-Site Question 1 - SOLUTION-checkpoint.ipynb b/Mock Interviews/Large Search Engine Company/Search Engine Company - Interview Problems - SOLUTIONS/.ipynb_checkpoints/On-Site Question 1 - SOLUTION-checkpoint.ipynb
similarity index 100%
rename from Mock Interviews/Large Search Engine Company /Search Engine Company - Interview Problems - SOLUTIONS/.ipynb_checkpoints/On-Site Question 1 - SOLUTION-checkpoint.ipynb
rename to Mock Interviews/Large Search Engine Company/Search Engine Company - Interview Problems - SOLUTIONS/.ipynb_checkpoints/On-Site Question 1 - SOLUTION-checkpoint.ipynb
diff --git a/Mock Interviews/Large Search Engine Company /Search Engine Company - Interview Problems - SOLUTIONS/.ipynb_checkpoints/On-Site Question 2 - SOLUTION-checkpoint.ipynb b/Mock Interviews/Large Search Engine Company/Search Engine Company - Interview Problems - SOLUTIONS/.ipynb_checkpoints/On-Site Question 2 - SOLUTION-checkpoint.ipynb
similarity index 100%
rename from Mock Interviews/Large Search Engine Company /Search Engine Company - Interview Problems - SOLUTIONS/.ipynb_checkpoints/On-Site Question 2 - SOLUTION-checkpoint.ipynb
rename to Mock Interviews/Large Search Engine Company/Search Engine Company - Interview Problems - SOLUTIONS/.ipynb_checkpoints/On-Site Question 2 - SOLUTION-checkpoint.ipynb
diff --git a/Mock Interviews/Large Search Engine Company /Search Engine Company - Interview Problems - SOLUTIONS/.ipynb_checkpoints/On-Site Question 3 -SOLUTION-checkpoint.ipynb b/Mock Interviews/Large Search Engine Company/Search Engine Company - Interview Problems - SOLUTIONS/.ipynb_checkpoints/On-Site Question 3 -SOLUTION-checkpoint.ipynb
similarity index 100%
rename from Mock Interviews/Large Search Engine Company /Search Engine Company - Interview Problems - SOLUTIONS/.ipynb_checkpoints/On-Site Question 3 -SOLUTION-checkpoint.ipynb
rename to Mock Interviews/Large Search Engine Company/Search Engine Company - Interview Problems - SOLUTIONS/.ipynb_checkpoints/On-Site Question 3 -SOLUTION-checkpoint.ipynb
diff --git a/Mock Interviews/Large Search Engine Company /Search Engine Company - Interview Problems - SOLUTIONS/.ipynb_checkpoints/On-Site Question 4 - SOLUTION-checkpoint.ipynb b/Mock Interviews/Large Search Engine Company/Search Engine Company - Interview Problems - SOLUTIONS/.ipynb_checkpoints/On-Site Question 4 - SOLUTION-checkpoint.ipynb
similarity index 100%
rename from Mock Interviews/Large Search Engine Company /Search Engine Company - Interview Problems - SOLUTIONS/.ipynb_checkpoints/On-Site Question 4 - SOLUTION-checkpoint.ipynb
rename to Mock Interviews/Large Search Engine Company/Search Engine Company - Interview Problems - SOLUTIONS/.ipynb_checkpoints/On-Site Question 4 - SOLUTION-checkpoint.ipynb
diff --git a/Mock Interviews/Large Search Engine Company /Search Engine Company - Interview Problems - SOLUTIONS/.ipynb_checkpoints/Phone Screen-checkpoint.ipynb b/Mock Interviews/Large Search Engine Company/Search Engine Company - Interview Problems - SOLUTIONS/.ipynb_checkpoints/Phone Screen-checkpoint.ipynb
similarity index 100%
rename from Mock Interviews/Large Search Engine Company /Search Engine Company - Interview Problems - SOLUTIONS/.ipynb_checkpoints/Phone Screen-checkpoint.ipynb
rename to Mock Interviews/Large Search Engine Company/Search Engine Company - Interview Problems - SOLUTIONS/.ipynb_checkpoints/Phone Screen-checkpoint.ipynb
diff --git a/Mock Interviews/Large Search Engine Company /Search Engine Company - Interview Problems - SOLUTIONS/On-Site Question 1 - SOLUTION.ipynb b/Mock Interviews/Large Search Engine Company/Search Engine Company - Interview Problems - SOLUTIONS/On-Site Question 1 - SOLUTION.ipynb
similarity index 100%
rename from Mock Interviews/Large Search Engine Company /Search Engine Company - Interview Problems - SOLUTIONS/On-Site Question 1 - SOLUTION.ipynb
rename to Mock Interviews/Large Search Engine Company/Search Engine Company - Interview Problems - SOLUTIONS/On-Site Question 1 - SOLUTION.ipynb
diff --git a/Mock Interviews/Large Search Engine Company /Search Engine Company - Interview Problems - SOLUTIONS/On-Site Question 2 - SOLUTION.ipynb b/Mock Interviews/Large Search Engine Company/Search Engine Company - Interview Problems - SOLUTIONS/On-Site Question 2 - SOLUTION.ipynb
similarity index 100%
rename from Mock Interviews/Large Search Engine Company /Search Engine Company - Interview Problems - SOLUTIONS/On-Site Question 2 - SOLUTION.ipynb
rename to Mock Interviews/Large Search Engine Company/Search Engine Company - Interview Problems - SOLUTIONS/On-Site Question 2 - SOLUTION.ipynb
diff --git a/Mock Interviews/Large Search Engine Company /Search Engine Company - Interview Problems - SOLUTIONS/On-Site Question 3 -SOLUTION.ipynb b/Mock Interviews/Large Search Engine Company/Search Engine Company - Interview Problems - SOLUTIONS/On-Site Question 3 -SOLUTION.ipynb
similarity index 100%
rename from Mock Interviews/Large Search Engine Company /Search Engine Company - Interview Problems - SOLUTIONS/On-Site Question 3 -SOLUTION.ipynb
rename to Mock Interviews/Large Search Engine Company/Search Engine Company - Interview Problems - SOLUTIONS/On-Site Question 3 -SOLUTION.ipynb
diff --git a/Mock Interviews/Large Search Engine Company /Search Engine Company - Interview Problems - SOLUTIONS/On-Site Question 4 - SOLUTION.ipynb b/Mock Interviews/Large Search Engine Company/Search Engine Company - Interview Problems - SOLUTIONS/On-Site Question 4 - SOLUTION.ipynb
similarity index 100%
rename from Mock Interviews/Large Search Engine Company /Search Engine Company - Interview Problems - SOLUTIONS/On-Site Question 4 - SOLUTION.ipynb
rename to Mock Interviews/Large Search Engine Company/Search Engine Company - Interview Problems - SOLUTIONS/On-Site Question 4 - SOLUTION.ipynb
diff --git a/Mock Interviews/Large Search Engine Company /Search Engine Company - Interview Problems - SOLUTIONS/Phone Screen.ipynb b/Mock Interviews/Large Search Engine Company/Search Engine Company - Interview Problems - SOLUTIONS/Phone Screen.ipynb
similarity index 100%
rename from Mock Interviews/Large Search Engine Company /Search Engine Company - Interview Problems - SOLUTIONS/Phone Screen.ipynb
rename to Mock Interviews/Large Search Engine Company/Search Engine Company - Interview Problems - SOLUTIONS/Phone Screen.ipynb
diff --git a/Mock Interviews/Large Search Engine Company /Search Engine Company - Interview Problems/.ipynb_checkpoints/On-Site Question 1 -checkpoint.ipynb b/Mock Interviews/Large Search Engine Company/Search Engine Company - Interview Problems/.ipynb_checkpoints/On-Site Question 1 -checkpoint.ipynb
similarity index 100%
rename from Mock Interviews/Large Search Engine Company /Search Engine Company - Interview Problems/.ipynb_checkpoints/On-Site Question 1 -checkpoint.ipynb
rename to Mock Interviews/Large Search Engine Company/Search Engine Company - Interview Problems/.ipynb_checkpoints/On-Site Question 1 -checkpoint.ipynb
diff --git a/Mock Interviews/Large Search Engine Company /Search Engine Company - Interview Problems/.ipynb_checkpoints/On-Site Question 2 -checkpoint.ipynb b/Mock Interviews/Large Search Engine Company/Search Engine Company - Interview Problems/.ipynb_checkpoints/On-Site Question 2 -checkpoint.ipynb
similarity index 100%
rename from Mock Interviews/Large Search Engine Company /Search Engine Company - Interview Problems/.ipynb_checkpoints/On-Site Question 2 -checkpoint.ipynb
rename to Mock Interviews/Large Search Engine Company/Search Engine Company - Interview Problems/.ipynb_checkpoints/On-Site Question 2 -checkpoint.ipynb
diff --git a/Mock Interviews/Large Search Engine Company /Search Engine Company - Interview Problems/.ipynb_checkpoints/On-Site Question 3 -checkpoint.ipynb b/Mock Interviews/Large Search Engine Company/Search Engine Company - Interview Problems/.ipynb_checkpoints/On-Site Question 3 -checkpoint.ipynb
similarity index 100%
rename from Mock Interviews/Large Search Engine Company /Search Engine Company - Interview Problems/.ipynb_checkpoints/On-Site Question 3 -checkpoint.ipynb
rename to Mock Interviews/Large Search Engine Company/Search Engine Company - Interview Problems/.ipynb_checkpoints/On-Site Question 3 -checkpoint.ipynb
diff --git a/Mock Interviews/Large Search Engine Company /Search Engine Company - Interview Problems/.ipynb_checkpoints/On-Site Question 4 -checkpoint.ipynb b/Mock Interviews/Large Search Engine Company/Search Engine Company - Interview Problems/.ipynb_checkpoints/On-Site Question 4 -checkpoint.ipynb
similarity index 100%
rename from Mock Interviews/Large Search Engine Company /Search Engine Company - Interview Problems/.ipynb_checkpoints/On-Site Question 4 -checkpoint.ipynb
rename to Mock Interviews/Large Search Engine Company/Search Engine Company - Interview Problems/.ipynb_checkpoints/On-Site Question 4 -checkpoint.ipynb
diff --git a/Mock Interviews/Large Search Engine Company /Search Engine Company - Interview Problems/.ipynb_checkpoints/Phone Screen-checkpoint.ipynb b/Mock Interviews/Large Search Engine Company/Search Engine Company - Interview Problems/.ipynb_checkpoints/Phone Screen-checkpoint.ipynb
similarity index 100%
rename from Mock Interviews/Large Search Engine Company /Search Engine Company - Interview Problems/.ipynb_checkpoints/Phone Screen-checkpoint.ipynb
rename to Mock Interviews/Large Search Engine Company/Search Engine Company - Interview Problems/.ipynb_checkpoints/Phone Screen-checkpoint.ipynb
diff --git a/Mock Interviews/Large Search Engine Company /Search Engine Company - Interview Problems/On-Site Question 1 .ipynb b/Mock Interviews/Large Search Engine Company/Search Engine Company - Interview Problems/On-Site Question 1 .ipynb
similarity index 100%
rename from Mock Interviews/Large Search Engine Company /Search Engine Company - Interview Problems/On-Site Question 1 .ipynb
rename to Mock Interviews/Large Search Engine Company/Search Engine Company - Interview Problems/On-Site Question 1 .ipynb
diff --git a/Mock Interviews/Large Search Engine Company /Search Engine Company - Interview Problems/On-Site Question 2 .ipynb b/Mock Interviews/Large Search Engine Company/Search Engine Company - Interview Problems/On-Site Question 2 .ipynb
similarity index 100%
rename from Mock Interviews/Large Search Engine Company /Search Engine Company - Interview Problems/On-Site Question 2 .ipynb
rename to Mock Interviews/Large Search Engine Company/Search Engine Company - Interview Problems/On-Site Question 2 .ipynb
diff --git a/Mock Interviews/Large Search Engine Company /Search Engine Company - Interview Problems/On-Site Question 3 .ipynb b/Mock Interviews/Large Search Engine Company/Search Engine Company - Interview Problems/On-Site Question 3 .ipynb
similarity index 100%
rename from Mock Interviews/Large Search Engine Company /Search Engine Company - Interview Problems/On-Site Question 3 .ipynb
rename to Mock Interviews/Large Search Engine Company/Search Engine Company - Interview Problems/On-Site Question 3 .ipynb
diff --git a/Mock Interviews/Large Search Engine Company /Search Engine Company - Interview Problems/On-Site Question 4 .ipynb b/Mock Interviews/Large Search Engine Company/Search Engine Company - Interview Problems/On-Site Question 4 .ipynb
similarity index 100%
rename from Mock Interviews/Large Search Engine Company /Search Engine Company - Interview Problems/On-Site Question 4 .ipynb
rename to Mock Interviews/Large Search Engine Company/Search Engine Company - Interview Problems/On-Site Question 4 .ipynb
diff --git a/Mock Interviews/Large Search Engine Company /Search Engine Company - Interview Problems/Phone Screen.ipynb b/Mock Interviews/Large Search Engine Company/Search Engine Company - Interview Problems/Phone Screen.ipynb
similarity index 100%
rename from Mock Interviews/Large Search Engine Company /Search Engine Company - Interview Problems/Phone Screen.ipynb
rename to Mock Interviews/Large Search Engine Company/Search Engine Company - Interview Problems/Phone Screen.ipynb

From 4b8e016b977357e3044b329560a9e9720fa9e962 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Damian=20Turczy=C5=84ski?= <damtur@outlook.com>
Date: Wed, 29 Dec 2021 11:04:07 +0000
Subject: [PATCH 6/9] Fix trailing spaces in folder name

---
 .../.ipynb_checkpoints/On-Site Question 1 -checkpoint.ipynb       | 0
 .../.ipynb_checkpoints/On-Site Question 2 -checkpoint.ipynb       | 0
 .../.ipynb_checkpoints/On-Site Question 3 -checkpoint.ipynb       | 0
 .../.ipynb_checkpoints/Phone Screen -checkpoint.ipynb             | 0
 .../On-Site Question 1 .ipynb                                     | 0
 .../On-Site Question 2 .ipynb                                     | 0
 .../On-Site Question 3 .ipynb                                     | 0
 .../Phone Screen .ipynb                                           | 0
 8 files changed, 0 insertions(+), 0 deletions(-)
 rename Mock Interviews/Ride Share Start-Up Company/{Ride Share Company - Interview Questions  => Ride Share Company - Interview Questions}/.ipynb_checkpoints/On-Site Question 1 -checkpoint.ipynb (100%)
 rename Mock Interviews/Ride Share Start-Up Company/{Ride Share Company - Interview Questions  => Ride Share Company - Interview Questions}/.ipynb_checkpoints/On-Site Question 2 -checkpoint.ipynb (100%)
 rename Mock Interviews/Ride Share Start-Up Company/{Ride Share Company - Interview Questions  => Ride Share Company - Interview Questions}/.ipynb_checkpoints/On-Site Question 3 -checkpoint.ipynb (100%)
 rename Mock Interviews/Ride Share Start-Up Company/{Ride Share Company - Interview Questions  => Ride Share Company - Interview Questions}/.ipynb_checkpoints/Phone Screen -checkpoint.ipynb (100%)
 rename Mock Interviews/Ride Share Start-Up Company/{Ride Share Company - Interview Questions  => Ride Share Company - Interview Questions}/On-Site Question 1 .ipynb (100%)
 rename Mock Interviews/Ride Share Start-Up Company/{Ride Share Company - Interview Questions  => Ride Share Company - Interview Questions}/On-Site Question 2 .ipynb (100%)
 rename Mock Interviews/Ride Share Start-Up Company/{Ride Share Company - Interview Questions  => Ride Share Company - Interview Questions}/On-Site Question 3 .ipynb (100%)
 rename Mock Interviews/Ride Share Start-Up Company/{Ride Share Company - Interview Questions  => Ride Share Company - Interview Questions}/Phone Screen .ipynb (100%)

diff --git a/Mock Interviews/Ride Share Start-Up Company/Ride Share Company - Interview Questions /.ipynb_checkpoints/On-Site Question 1 -checkpoint.ipynb b/Mock Interviews/Ride Share Start-Up Company/Ride Share Company - Interview Questions/.ipynb_checkpoints/On-Site Question 1 -checkpoint.ipynb
similarity index 100%
rename from Mock Interviews/Ride Share Start-Up Company/Ride Share Company - Interview Questions /.ipynb_checkpoints/On-Site Question 1 -checkpoint.ipynb
rename to Mock Interviews/Ride Share Start-Up Company/Ride Share Company - Interview Questions/.ipynb_checkpoints/On-Site Question 1 -checkpoint.ipynb
diff --git a/Mock Interviews/Ride Share Start-Up Company/Ride Share Company - Interview Questions /.ipynb_checkpoints/On-Site Question 2 -checkpoint.ipynb b/Mock Interviews/Ride Share Start-Up Company/Ride Share Company - Interview Questions/.ipynb_checkpoints/On-Site Question 2 -checkpoint.ipynb
similarity index 100%
rename from Mock Interviews/Ride Share Start-Up Company/Ride Share Company - Interview Questions /.ipynb_checkpoints/On-Site Question 2 -checkpoint.ipynb
rename to Mock Interviews/Ride Share Start-Up Company/Ride Share Company - Interview Questions/.ipynb_checkpoints/On-Site Question 2 -checkpoint.ipynb
diff --git a/Mock Interviews/Ride Share Start-Up Company/Ride Share Company - Interview Questions /.ipynb_checkpoints/On-Site Question 3 -checkpoint.ipynb b/Mock Interviews/Ride Share Start-Up Company/Ride Share Company - Interview Questions/.ipynb_checkpoints/On-Site Question 3 -checkpoint.ipynb
similarity index 100%
rename from Mock Interviews/Ride Share Start-Up Company/Ride Share Company - Interview Questions /.ipynb_checkpoints/On-Site Question 3 -checkpoint.ipynb
rename to Mock Interviews/Ride Share Start-Up Company/Ride Share Company - Interview Questions/.ipynb_checkpoints/On-Site Question 3 -checkpoint.ipynb
diff --git a/Mock Interviews/Ride Share Start-Up Company/Ride Share Company - Interview Questions /.ipynb_checkpoints/Phone Screen -checkpoint.ipynb b/Mock Interviews/Ride Share Start-Up Company/Ride Share Company - Interview Questions/.ipynb_checkpoints/Phone Screen -checkpoint.ipynb
similarity index 100%
rename from Mock Interviews/Ride Share Start-Up Company/Ride Share Company - Interview Questions /.ipynb_checkpoints/Phone Screen -checkpoint.ipynb
rename to Mock Interviews/Ride Share Start-Up Company/Ride Share Company - Interview Questions/.ipynb_checkpoints/Phone Screen -checkpoint.ipynb
diff --git a/Mock Interviews/Ride Share Start-Up Company/Ride Share Company - Interview Questions /On-Site Question 1 .ipynb b/Mock Interviews/Ride Share Start-Up Company/Ride Share Company - Interview Questions/On-Site Question 1 .ipynb
similarity index 100%
rename from Mock Interviews/Ride Share Start-Up Company/Ride Share Company - Interview Questions /On-Site Question 1 .ipynb
rename to Mock Interviews/Ride Share Start-Up Company/Ride Share Company - Interview Questions/On-Site Question 1 .ipynb
diff --git a/Mock Interviews/Ride Share Start-Up Company/Ride Share Company - Interview Questions /On-Site Question 2 .ipynb b/Mock Interviews/Ride Share Start-Up Company/Ride Share Company - Interview Questions/On-Site Question 2 .ipynb
similarity index 100%
rename from Mock Interviews/Ride Share Start-Up Company/Ride Share Company - Interview Questions /On-Site Question 2 .ipynb
rename to Mock Interviews/Ride Share Start-Up Company/Ride Share Company - Interview Questions/On-Site Question 2 .ipynb
diff --git a/Mock Interviews/Ride Share Start-Up Company/Ride Share Company - Interview Questions /On-Site Question 3 .ipynb b/Mock Interviews/Ride Share Start-Up Company/Ride Share Company - Interview Questions/On-Site Question 3 .ipynb
similarity index 100%
rename from Mock Interviews/Ride Share Start-Up Company/Ride Share Company - Interview Questions /On-Site Question 3 .ipynb
rename to Mock Interviews/Ride Share Start-Up Company/Ride Share Company - Interview Questions/On-Site Question 3 .ipynb
diff --git a/Mock Interviews/Ride Share Start-Up Company/Ride Share Company - Interview Questions /Phone Screen .ipynb b/Mock Interviews/Ride Share Start-Up Company/Ride Share Company - Interview Questions/Phone Screen .ipynb
similarity index 100%
rename from Mock Interviews/Ride Share Start-Up Company/Ride Share Company - Interview Questions /Phone Screen .ipynb
rename to Mock Interviews/Ride Share Start-Up Company/Ride Share Company - Interview Questions/Phone Screen .ipynb

From 29836bb7c17438b79a293a55cc158344786a3cdf Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Damian=20Turczy=C5=84ski?= <damtur@outlook.com>
Date: Wed, 29 Dec 2021 11:04:33 +0000
Subject: [PATCH 7/9] Fix trailing spaces in folder name

---
 .../.ipynb_checkpoints/On-Site Question 1-checkpoint.ipynb        | 0
 .../.ipynb_checkpoints/On-Site Question 2-checkpoint.ipynb        | 0
 .../.ipynb_checkpoints/On-Site Question 3-checkpoint.ipynb        | 0
 .../.ipynb_checkpoints/Phone Screen -checkpoint.ipynb             | 0
 .../On-Site Question 1.ipynb                                      | 0
 .../On-Site Question 2.ipynb                                      | 0
 .../On-Site Question 3.ipynb                                      | 0
 .../Phone Screen .ipynb                                           | 0
 8 files changed, 0 insertions(+), 0 deletions(-)
 rename Mock Interviews/Social Network Company/{Social Network Company - Interview Questions  => Social Network Company - Interview Questions}/.ipynb_checkpoints/On-Site Question 1-checkpoint.ipynb (100%)
 rename Mock Interviews/Social Network Company/{Social Network Company - Interview Questions  => Social Network Company - Interview Questions}/.ipynb_checkpoints/On-Site Question 2-checkpoint.ipynb (100%)
 rename Mock Interviews/Social Network Company/{Social Network Company - Interview Questions  => Social Network Company - Interview Questions}/.ipynb_checkpoints/On-Site Question 3-checkpoint.ipynb (100%)
 rename Mock Interviews/Social Network Company/{Social Network Company - Interview Questions  => Social Network Company - Interview Questions}/.ipynb_checkpoints/Phone Screen -checkpoint.ipynb (100%)
 rename Mock Interviews/Social Network Company/{Social Network Company - Interview Questions  => Social Network Company - Interview Questions}/On-Site Question 1.ipynb (100%)
 rename Mock Interviews/Social Network Company/{Social Network Company - Interview Questions  => Social Network Company - Interview Questions}/On-Site Question 2.ipynb (100%)
 rename Mock Interviews/Social Network Company/{Social Network Company - Interview Questions  => Social Network Company - Interview Questions}/On-Site Question 3.ipynb (100%)
 rename Mock Interviews/Social Network Company/{Social Network Company - Interview Questions  => Social Network Company - Interview Questions}/Phone Screen .ipynb (100%)

diff --git a/Mock Interviews/Social Network Company/Social Network Company - Interview Questions /.ipynb_checkpoints/On-Site Question 1-checkpoint.ipynb b/Mock Interviews/Social Network Company/Social Network Company - Interview Questions/.ipynb_checkpoints/On-Site Question 1-checkpoint.ipynb
similarity index 100%
rename from Mock Interviews/Social Network Company/Social Network Company - Interview Questions /.ipynb_checkpoints/On-Site Question 1-checkpoint.ipynb
rename to Mock Interviews/Social Network Company/Social Network Company - Interview Questions/.ipynb_checkpoints/On-Site Question 1-checkpoint.ipynb
diff --git a/Mock Interviews/Social Network Company/Social Network Company - Interview Questions /.ipynb_checkpoints/On-Site Question 2-checkpoint.ipynb b/Mock Interviews/Social Network Company/Social Network Company - Interview Questions/.ipynb_checkpoints/On-Site Question 2-checkpoint.ipynb
similarity index 100%
rename from Mock Interviews/Social Network Company/Social Network Company - Interview Questions /.ipynb_checkpoints/On-Site Question 2-checkpoint.ipynb
rename to Mock Interviews/Social Network Company/Social Network Company - Interview Questions/.ipynb_checkpoints/On-Site Question 2-checkpoint.ipynb
diff --git a/Mock Interviews/Social Network Company/Social Network Company - Interview Questions /.ipynb_checkpoints/On-Site Question 3-checkpoint.ipynb b/Mock Interviews/Social Network Company/Social Network Company - Interview Questions/.ipynb_checkpoints/On-Site Question 3-checkpoint.ipynb
similarity index 100%
rename from Mock Interviews/Social Network Company/Social Network Company - Interview Questions /.ipynb_checkpoints/On-Site Question 3-checkpoint.ipynb
rename to Mock Interviews/Social Network Company/Social Network Company - Interview Questions/.ipynb_checkpoints/On-Site Question 3-checkpoint.ipynb
diff --git a/Mock Interviews/Social Network Company/Social Network Company - Interview Questions /.ipynb_checkpoints/Phone Screen -checkpoint.ipynb b/Mock Interviews/Social Network Company/Social Network Company - Interview Questions/.ipynb_checkpoints/Phone Screen -checkpoint.ipynb
similarity index 100%
rename from Mock Interviews/Social Network Company/Social Network Company - Interview Questions /.ipynb_checkpoints/Phone Screen -checkpoint.ipynb
rename to Mock Interviews/Social Network Company/Social Network Company - Interview Questions/.ipynb_checkpoints/Phone Screen -checkpoint.ipynb
diff --git a/Mock Interviews/Social Network Company/Social Network Company - Interview Questions /On-Site Question 1.ipynb b/Mock Interviews/Social Network Company/Social Network Company - Interview Questions/On-Site Question 1.ipynb
similarity index 100%
rename from Mock Interviews/Social Network Company/Social Network Company - Interview Questions /On-Site Question 1.ipynb
rename to Mock Interviews/Social Network Company/Social Network Company - Interview Questions/On-Site Question 1.ipynb
diff --git a/Mock Interviews/Social Network Company/Social Network Company - Interview Questions /On-Site Question 2.ipynb b/Mock Interviews/Social Network Company/Social Network Company - Interview Questions/On-Site Question 2.ipynb
similarity index 100%
rename from Mock Interviews/Social Network Company/Social Network Company - Interview Questions /On-Site Question 2.ipynb
rename to Mock Interviews/Social Network Company/Social Network Company - Interview Questions/On-Site Question 2.ipynb
diff --git a/Mock Interviews/Social Network Company/Social Network Company - Interview Questions /On-Site Question 3.ipynb b/Mock Interviews/Social Network Company/Social Network Company - Interview Questions/On-Site Question 3.ipynb
similarity index 100%
rename from Mock Interviews/Social Network Company/Social Network Company - Interview Questions /On-Site Question 3.ipynb
rename to Mock Interviews/Social Network Company/Social Network Company - Interview Questions/On-Site Question 3.ipynb
diff --git a/Mock Interviews/Social Network Company/Social Network Company - Interview Questions /Phone Screen .ipynb b/Mock Interviews/Social Network Company/Social Network Company - Interview Questions/Phone Screen .ipynb
similarity index 100%
rename from Mock Interviews/Social Network Company/Social Network Company - Interview Questions /Phone Screen .ipynb
rename to Mock Interviews/Social Network Company/Social Network Company - Interview Questions/Phone Screen .ipynb

From 4c9c5d84d5d975e2f91f0755e15f6a8945e7e34f Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Damian=20Turczy=C5=84ski?= <damtur@outlook.com>
Date: Wed, 29 Dec 2021 11:05:10 +0000
Subject: [PATCH 8/9] Fix trailing spaces in folder name

---
 .../.ipynb_checkpoints/Bridge Crossing-checkpoint.ipynb           | 0
 .../.ipynb_checkpoints/Coins and a Scale -checkpoint.ipynb        | 0
 .../.ipynb_checkpoints/Egg Drop -checkpoint.ipynb                 | 0
 .../.ipynb_checkpoints/Hallway Lockers-checkpoint.ipynb           | 0
 .../.ipynb_checkpoints/Jugs of Water -checkpoint.ipynb            | 0
 .../.ipynb_checkpoints/Light Switches -checkpoint.ipynb           | 0
 .../.ipynb_checkpoints/Ropes Burning-checkpoint.ipynb             | 0
 .../Bridge Crossing.ipynb                                         | 0
 .../Coins and a Scale .ipynb                                      | 0
 .../Egg Drop .ipynb                                               | 0
 .../Hallway Lockers.ipynb                                         | 0
 .../Jugs of Water .ipynb                                          | 0
 .../Light Switches .ipynb                                         | 0
 .../Ropes Burning.ipynb                                           | 0
 14 files changed, 0 insertions(+), 0 deletions(-)
 rename Riddles/Riddle Interview Problems/{Riddle Interview Problems  => Riddle Interview Problems}/.ipynb_checkpoints/Bridge Crossing-checkpoint.ipynb (100%)
 rename Riddles/Riddle Interview Problems/{Riddle Interview Problems  => Riddle Interview Problems}/.ipynb_checkpoints/Coins and a Scale -checkpoint.ipynb (100%)
 rename Riddles/Riddle Interview Problems/{Riddle Interview Problems  => Riddle Interview Problems}/.ipynb_checkpoints/Egg Drop -checkpoint.ipynb (100%)
 rename Riddles/Riddle Interview Problems/{Riddle Interview Problems  => Riddle Interview Problems}/.ipynb_checkpoints/Hallway Lockers-checkpoint.ipynb (100%)
 rename Riddles/Riddle Interview Problems/{Riddle Interview Problems  => Riddle Interview Problems}/.ipynb_checkpoints/Jugs of Water -checkpoint.ipynb (100%)
 rename Riddles/Riddle Interview Problems/{Riddle Interview Problems  => Riddle Interview Problems}/.ipynb_checkpoints/Light Switches -checkpoint.ipynb (100%)
 rename Riddles/Riddle Interview Problems/{Riddle Interview Problems  => Riddle Interview Problems}/.ipynb_checkpoints/Ropes Burning-checkpoint.ipynb (100%)
 rename Riddles/Riddle Interview Problems/{Riddle Interview Problems  => Riddle Interview Problems}/Bridge Crossing.ipynb (100%)
 rename Riddles/Riddle Interview Problems/{Riddle Interview Problems  => Riddle Interview Problems}/Coins and a Scale .ipynb (100%)
 rename Riddles/Riddle Interview Problems/{Riddle Interview Problems  => Riddle Interview Problems}/Egg Drop .ipynb (100%)
 rename Riddles/Riddle Interview Problems/{Riddle Interview Problems  => Riddle Interview Problems}/Hallway Lockers.ipynb (100%)
 rename Riddles/Riddle Interview Problems/{Riddle Interview Problems  => Riddle Interview Problems}/Jugs of Water .ipynb (100%)
 rename Riddles/Riddle Interview Problems/{Riddle Interview Problems  => Riddle Interview Problems}/Light Switches .ipynb (100%)
 rename Riddles/Riddle Interview Problems/{Riddle Interview Problems  => Riddle Interview Problems}/Ropes Burning.ipynb (100%)

diff --git a/Riddles/Riddle Interview Problems/Riddle Interview Problems /.ipynb_checkpoints/Bridge Crossing-checkpoint.ipynb b/Riddles/Riddle Interview Problems/Riddle Interview Problems/.ipynb_checkpoints/Bridge Crossing-checkpoint.ipynb
similarity index 100%
rename from Riddles/Riddle Interview Problems/Riddle Interview Problems /.ipynb_checkpoints/Bridge Crossing-checkpoint.ipynb
rename to Riddles/Riddle Interview Problems/Riddle Interview Problems/.ipynb_checkpoints/Bridge Crossing-checkpoint.ipynb
diff --git a/Riddles/Riddle Interview Problems/Riddle Interview Problems /.ipynb_checkpoints/Coins and a Scale -checkpoint.ipynb b/Riddles/Riddle Interview Problems/Riddle Interview Problems/.ipynb_checkpoints/Coins and a Scale -checkpoint.ipynb
similarity index 100%
rename from Riddles/Riddle Interview Problems/Riddle Interview Problems /.ipynb_checkpoints/Coins and a Scale -checkpoint.ipynb
rename to Riddles/Riddle Interview Problems/Riddle Interview Problems/.ipynb_checkpoints/Coins and a Scale -checkpoint.ipynb
diff --git a/Riddles/Riddle Interview Problems/Riddle Interview Problems /.ipynb_checkpoints/Egg Drop -checkpoint.ipynb b/Riddles/Riddle Interview Problems/Riddle Interview Problems/.ipynb_checkpoints/Egg Drop -checkpoint.ipynb
similarity index 100%
rename from Riddles/Riddle Interview Problems/Riddle Interview Problems /.ipynb_checkpoints/Egg Drop -checkpoint.ipynb
rename to Riddles/Riddle Interview Problems/Riddle Interview Problems/.ipynb_checkpoints/Egg Drop -checkpoint.ipynb
diff --git a/Riddles/Riddle Interview Problems/Riddle Interview Problems /.ipynb_checkpoints/Hallway Lockers-checkpoint.ipynb b/Riddles/Riddle Interview Problems/Riddle Interview Problems/.ipynb_checkpoints/Hallway Lockers-checkpoint.ipynb
similarity index 100%
rename from Riddles/Riddle Interview Problems/Riddle Interview Problems /.ipynb_checkpoints/Hallway Lockers-checkpoint.ipynb
rename to Riddles/Riddle Interview Problems/Riddle Interview Problems/.ipynb_checkpoints/Hallway Lockers-checkpoint.ipynb
diff --git a/Riddles/Riddle Interview Problems/Riddle Interview Problems /.ipynb_checkpoints/Jugs of Water -checkpoint.ipynb b/Riddles/Riddle Interview Problems/Riddle Interview Problems/.ipynb_checkpoints/Jugs of Water -checkpoint.ipynb
similarity index 100%
rename from Riddles/Riddle Interview Problems/Riddle Interview Problems /.ipynb_checkpoints/Jugs of Water -checkpoint.ipynb
rename to Riddles/Riddle Interview Problems/Riddle Interview Problems/.ipynb_checkpoints/Jugs of Water -checkpoint.ipynb
diff --git a/Riddles/Riddle Interview Problems/Riddle Interview Problems /.ipynb_checkpoints/Light Switches -checkpoint.ipynb b/Riddles/Riddle Interview Problems/Riddle Interview Problems/.ipynb_checkpoints/Light Switches -checkpoint.ipynb
similarity index 100%
rename from Riddles/Riddle Interview Problems/Riddle Interview Problems /.ipynb_checkpoints/Light Switches -checkpoint.ipynb
rename to Riddles/Riddle Interview Problems/Riddle Interview Problems/.ipynb_checkpoints/Light Switches -checkpoint.ipynb
diff --git a/Riddles/Riddle Interview Problems/Riddle Interview Problems /.ipynb_checkpoints/Ropes Burning-checkpoint.ipynb b/Riddles/Riddle Interview Problems/Riddle Interview Problems/.ipynb_checkpoints/Ropes Burning-checkpoint.ipynb
similarity index 100%
rename from Riddles/Riddle Interview Problems/Riddle Interview Problems /.ipynb_checkpoints/Ropes Burning-checkpoint.ipynb
rename to Riddles/Riddle Interview Problems/Riddle Interview Problems/.ipynb_checkpoints/Ropes Burning-checkpoint.ipynb
diff --git a/Riddles/Riddle Interview Problems/Riddle Interview Problems /Bridge Crossing.ipynb b/Riddles/Riddle Interview Problems/Riddle Interview Problems/Bridge Crossing.ipynb
similarity index 100%
rename from Riddles/Riddle Interview Problems/Riddle Interview Problems /Bridge Crossing.ipynb
rename to Riddles/Riddle Interview Problems/Riddle Interview Problems/Bridge Crossing.ipynb
diff --git a/Riddles/Riddle Interview Problems/Riddle Interview Problems /Coins and a Scale .ipynb b/Riddles/Riddle Interview Problems/Riddle Interview Problems/Coins and a Scale .ipynb
similarity index 100%
rename from Riddles/Riddle Interview Problems/Riddle Interview Problems /Coins and a Scale .ipynb
rename to Riddles/Riddle Interview Problems/Riddle Interview Problems/Coins and a Scale .ipynb
diff --git a/Riddles/Riddle Interview Problems/Riddle Interview Problems /Egg Drop .ipynb b/Riddles/Riddle Interview Problems/Riddle Interview Problems/Egg Drop .ipynb
similarity index 100%
rename from Riddles/Riddle Interview Problems/Riddle Interview Problems /Egg Drop .ipynb
rename to Riddles/Riddle Interview Problems/Riddle Interview Problems/Egg Drop .ipynb
diff --git a/Riddles/Riddle Interview Problems/Riddle Interview Problems /Hallway Lockers.ipynb b/Riddles/Riddle Interview Problems/Riddle Interview Problems/Hallway Lockers.ipynb
similarity index 100%
rename from Riddles/Riddle Interview Problems/Riddle Interview Problems /Hallway Lockers.ipynb
rename to Riddles/Riddle Interview Problems/Riddle Interview Problems/Hallway Lockers.ipynb
diff --git a/Riddles/Riddle Interview Problems/Riddle Interview Problems /Jugs of Water .ipynb b/Riddles/Riddle Interview Problems/Riddle Interview Problems/Jugs of Water .ipynb
similarity index 100%
rename from Riddles/Riddle Interview Problems/Riddle Interview Problems /Jugs of Water .ipynb
rename to Riddles/Riddle Interview Problems/Riddle Interview Problems/Jugs of Water .ipynb
diff --git a/Riddles/Riddle Interview Problems/Riddle Interview Problems /Light Switches .ipynb b/Riddles/Riddle Interview Problems/Riddle Interview Problems/Light Switches .ipynb
similarity index 100%
rename from Riddles/Riddle Interview Problems/Riddle Interview Problems /Light Switches .ipynb
rename to Riddles/Riddle Interview Problems/Riddle Interview Problems/Light Switches .ipynb
diff --git a/Riddles/Riddle Interview Problems/Riddle Interview Problems /Ropes Burning.ipynb b/Riddles/Riddle Interview Problems/Riddle Interview Problems/Ropes Burning.ipynb
similarity index 100%
rename from Riddles/Riddle Interview Problems/Riddle Interview Problems /Ropes Burning.ipynb
rename to Riddles/Riddle Interview Problems/Riddle Interview Problems/Ropes Burning.ipynb

From 7cb4ecd049ad3976f764b77878e4e8e1a983e4ae Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Damian=20Turczy=C5=84ski?= <damtur@outlook.com>
Date: Wed, 29 Dec 2021 11:06:01 +0000
Subject: [PATCH 9/9] Fix trailing spaces in folder name

---
 .../Balanced Parentheses Check -checkpoint.ipynb                  | 0
 .../.ipynb_checkpoints/Implement a Deque -checkpoint.ipynb        | 0
 .../Implement a Queue -Using Two Stacks -checkpoint.ipynb         | 0
 .../.ipynb_checkpoints/Implement a Queue-checkpoint.ipynb         | 0
 .../.ipynb_checkpoints/Implement a Stack -checkpoint.ipynb        | 0
 .../Balanced Parentheses Check .ipynb                             | 0
 .../Implement a Deque .ipynb                                      | 0
 .../Implement a Queue -Using Two Stacks .ipynb                    | 0
 .../Implement a Queue.ipynb                                       | 0
 .../Implement a Stack .ipynb                                      | 0
 10 files changed, 0 insertions(+), 0 deletions(-)
 rename Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/{Stacks, Queues, Deques Interview Questions  => Stacks, Queues, Deques Interview Questions}/.ipynb_checkpoints/Balanced Parentheses Check -checkpoint.ipynb (100%)
 rename Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/{Stacks, Queues, Deques Interview Questions  => Stacks, Queues, Deques Interview Questions}/.ipynb_checkpoints/Implement a Deque -checkpoint.ipynb (100%)
 rename Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/{Stacks, Queues, Deques Interview Questions  => Stacks, Queues, Deques Interview Questions}/.ipynb_checkpoints/Implement a Queue -Using Two Stacks -checkpoint.ipynb (100%)
 rename Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/{Stacks, Queues, Deques Interview Questions  => Stacks, Queues, Deques Interview Questions}/.ipynb_checkpoints/Implement a Queue-checkpoint.ipynb (100%)
 rename Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/{Stacks, Queues, Deques Interview Questions  => Stacks, Queues, Deques Interview Questions}/.ipynb_checkpoints/Implement a Stack -checkpoint.ipynb (100%)
 rename Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/{Stacks, Queues, Deques Interview Questions  => Stacks, Queues, Deques Interview Questions}/Balanced Parentheses Check .ipynb (100%)
 rename Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/{Stacks, Queues, Deques Interview Questions  => Stacks, Queues, Deques Interview Questions}/Implement a Deque .ipynb (100%)
 rename Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/{Stacks, Queues, Deques Interview Questions  => Stacks, Queues, Deques Interview Questions}/Implement a Queue -Using Two Stacks .ipynb (100%)
 rename Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/{Stacks, Queues, Deques Interview Questions  => Stacks, Queues, Deques Interview Questions}/Implement a Queue.ipynb (100%)
 rename Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/{Stacks, Queues, Deques Interview Questions  => Stacks, Queues, Deques Interview Questions}/Implement a Stack .ipynb (100%)

diff --git a/Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions /.ipynb_checkpoints/Balanced Parentheses Check -checkpoint.ipynb b/Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions/.ipynb_checkpoints/Balanced Parentheses Check -checkpoint.ipynb
similarity index 100%
rename from Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions /.ipynb_checkpoints/Balanced Parentheses Check -checkpoint.ipynb
rename to Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions/.ipynb_checkpoints/Balanced Parentheses Check -checkpoint.ipynb
diff --git a/Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions /.ipynb_checkpoints/Implement a Deque -checkpoint.ipynb b/Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions/.ipynb_checkpoints/Implement a Deque -checkpoint.ipynb
similarity index 100%
rename from Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions /.ipynb_checkpoints/Implement a Deque -checkpoint.ipynb
rename to Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions/.ipynb_checkpoints/Implement a Deque -checkpoint.ipynb
diff --git a/Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions /.ipynb_checkpoints/Implement a Queue -Using Two Stacks -checkpoint.ipynb b/Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions/.ipynb_checkpoints/Implement a Queue -Using Two Stacks -checkpoint.ipynb
similarity index 100%
rename from Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions /.ipynb_checkpoints/Implement a Queue -Using Two Stacks -checkpoint.ipynb
rename to Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions/.ipynb_checkpoints/Implement a Queue -Using Two Stacks -checkpoint.ipynb
diff --git a/Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions /.ipynb_checkpoints/Implement a Queue-checkpoint.ipynb b/Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions/.ipynb_checkpoints/Implement a Queue-checkpoint.ipynb
similarity index 100%
rename from Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions /.ipynb_checkpoints/Implement a Queue-checkpoint.ipynb
rename to Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions/.ipynb_checkpoints/Implement a Queue-checkpoint.ipynb
diff --git a/Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions /.ipynb_checkpoints/Implement a Stack -checkpoint.ipynb b/Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions/.ipynb_checkpoints/Implement a Stack -checkpoint.ipynb
similarity index 100%
rename from Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions /.ipynb_checkpoints/Implement a Stack -checkpoint.ipynb
rename to Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions/.ipynb_checkpoints/Implement a Stack -checkpoint.ipynb
diff --git a/Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions /Balanced Parentheses Check .ipynb b/Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions/Balanced Parentheses Check .ipynb
similarity index 100%
rename from Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions /Balanced Parentheses Check .ipynb
rename to Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions/Balanced Parentheses Check .ipynb
diff --git a/Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions /Implement a Deque .ipynb b/Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions/Implement a Deque .ipynb
similarity index 100%
rename from Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions /Implement a Deque .ipynb
rename to Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions/Implement a Deque .ipynb
diff --git a/Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions /Implement a Queue -Using Two Stacks .ipynb b/Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions/Implement a Queue -Using Two Stacks .ipynb
similarity index 100%
rename from Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions /Implement a Queue -Using Two Stacks .ipynb
rename to Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions/Implement a Queue -Using Two Stacks .ipynb
diff --git a/Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions /Implement a Queue.ipynb b/Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions/Implement a Queue.ipynb
similarity index 100%
rename from Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions /Implement a Queue.ipynb
rename to Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions/Implement a Queue.ipynb
diff --git a/Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions /Implement a Stack .ipynb b/Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions/Implement a Stack .ipynb
similarity index 100%
rename from Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions /Implement a Stack .ipynb
rename to Stacks, Queues and Deques/Stacks, Queues, and Deques Interview Problems/Stacks, Queues, Deques Interview Questions/Implement a Stack .ipynb