Python learning (Part 3)
In this article we will be covering the topics like List, Tuples, Dictionary, Sets.
List:
A list is a collection which is ordered and changeable. It allows duplicate records.
In Python lists are written with square brackets.
Example:
L= [1, “Arjun”, “MSBI”, 100.50]
Output:
We can do the operations like the slice [:] operator, concatenation (+) operator and repetition (*) operator in List as shown below
Output:
Note: The slice [:] operator is nothing but range of list and if you gave range like [0:3] it will exclude the 3rd index value and displays the index value of 0 to 2.
Negative Indexing :
Output:
Tuples:
Tuple is similar to list. The only difference is that once a tuple is created, that the values can’t be changed.
Tuples are unchangeable. In Python tuples are written with round brackets.
Example:
T = (1, “Movie”, “Sanju”)
Output:
Now let’s see how it is different from List.
Here I created a tuple as T with values as shown above, then I tried to change data of Tuple[1] = “Movie” to “Film”, it should show me some error in Output.
Output:
As Tuple and List are very similar, we can do the same actions in Tuple like the slice [:] operator, concatenation (+) operator and repetition (*) operator in Tuple as well.
Dictionary :
Dictionary is an ordered set of key-value pair of items.
It is like hash table where each key stores a specific value. It can have duplicate records.
The items in the dictionary are separated with the comma and enclosed in the curly braces {}.
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Example:
EmpInfo = {“Name”: “Arjun”, “Age”: 23, “Company”: “QuestIT”}
Output:
Accessing and Changing the data in Dictionary :
We can access the items/data of a dictionary by referring to its key name.
In the above example EmpInfo is a dictionary and keys are Name, Age and Company.
Note: Here %s is used for string datatype, %d is used for Integer datatype
Likewise %f is used for Float datatype.
Output:
We can change the value/data of a specific item by referring to its key name.
Output:
Above as you can see Age key has been changed from 23 to 24.
Sets in Python :
The sets in python are defined as the unordered collection of various items enclosed within the curly brackets. The elements of the set cannot be duplicate.
There is no index attached to the elements of the set.
Example:
Months = {“January”, “February”, “March”, “April”, “May”}
Output:
As Sets are unordered, the ouput that we got is the same but in unordered way.
We can also perform the actions like add, remove, update, clear, delete, etc.
Output:
Learn Python practically with below video: -
