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‎.DS_Store

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‎01_抽象数据类型和面向对象编程/__pycache__/bag_adt.cpython-35-PYTEST.pyc

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‎02_数组和列表/__pycache__/array_and_list.cpython-35-PYTEST.pyc

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‎03_链表/__pycache__/double_link_list.cpython-35-PYTEST.pyc

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‎03_链表/__pycache__/linked_list.cpython-27-PYTEST.pyc

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‎03_链表/__pycache__/linked_list.cpython-35-PYTEST.pyc

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‎03_链表/wnntest.sh

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#!/usr/bin/env bash
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# python linked_list.py
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when-changed . 'py.test -s linked_list.py'
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# when-changed . 'py.test -s double_link_list.py'
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# python double_link_list.py

‎04_队列/__pycache__/array_queue.cpython-35-PYTEST.pyc

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‎04_队列/__pycache__/circular_queue.cpython-35-PYTEST.pyc

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‎04_队列/array_queue.py

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def push(self, value):
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raise FullError('queue full')
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self.array[self.head] = value
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self.array[self.head % self.maxsize] = value
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self.head += 1
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def pop(self):
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def __len__(self):
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return self.head-self.tail
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return self.head - self.tail
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def test_queue():
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assert q.pop() == 0
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assert q.pop() == 1
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assert len(q) == 3
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q.push(5)
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assert len(q) == 4
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assert q.pop() == 2
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assert q.pop() == 3
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assert q.pop() == 4
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assert q.pop() == 5
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‎05_栈/__pycache__/stack.cpython-35-PYTEST.pyc

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‎07_哈希表/__pycache__/hashtable.cpython-35-PYTEST.pyc

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‎08_字典/__pycache__/dict_adt.cpython-27-PYTEST.pyc

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‎08_字典/__pycache__/dict_adt.cpython-35-PYTEST.pyc

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‎09_集合/__pycache__/set_adt.cpython-27-PYTEST.pyc

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‎09_集合/__pycache__/set_adt.cpython-35-PYTEST.pyc

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‎15_堆与堆排序/__pycache__/heap_and_heapsort.cpython-35-PYTEST.pyc

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‎index.html

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@@ -262,7 +262,9 @@ <h2 id="_1">课程简介</h2>
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笔者尝试录制视频教程帮助 Python 初学者掌握常用算法和数据结构，提升开发技能。
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本教程是付费教程(文字内容和代码免费)，因为笔者录制的过程中除了购买软件、手写板等硬件之外，业余需要花费很多时间和精力来录制视频、查资料、编写课件和代码，养家糊口不容易，希望大家体谅。</p>
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<h2 id="_2">链接</h2>
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<p>视频教程已经发布在网易云课堂和 csdn 学院，内容一致。</p>
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<p><a href="http://study.163.com/course/introduction.htm?courseId=1005526003">网易云课堂: Python数据结构与算法教程</a> 视频教程</p>
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<p><a href="https://edu.csdn.net/course/detail/8332">csdn 学院：Python数据结构与算法教程</a></p>
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<p><a href="http://ningning.today/python_data_structures_and_algorithms/">网上阅读《Python 算法与数据结构教程 》</a></p>
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<p><a href="https://github.com/PegasusWang/python_data_structures_and_algorithms">github 链接</a></p>
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<p><a href="http://python-data-structures-and-algorithms.readthedocs.io/zh/latest/">readthedoc 电子书下载</a></p>
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<p>输出其实也是一种再学习的过程，中途需要查看大量资料、编写讲义、视频录制、代码编写等，难免有疏漏甚至错误之处。
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有出版社找过笔者想让我出书，一来自己对出书兴趣不大，另外感觉书籍相对视频不够直观，有错误也不能及时修改，打算直接把所有
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文字内容讲义和代码等放到 github 上，供大家免费查阅。</p>
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<p>如果你发现文字内容、代码内容或者视频内容有错误，欢迎在 github 上提 issue 讨论，或者直接提 Merge Request，我会修正相关内容，防止对读者产生误导(同时感谢认真学习并及时发现书中错误的同学)。</p>
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<p>如果你发现文字内容、代码内容或者视频内容有错误，欢迎在 github 上提 issue 讨论，或者直接提 Merge Request，我会修正相关内容，防止对读者产生误导(同时非常感谢认真学习并及时发现书中错误的同学)。</p>
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<h2 id="_19">本电子书制作和写作方式</h2>
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<p>使用 mkdocs 和 markdown 构建，使用 Python-Markdown-Math 完成数学公式。
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markdown 语法参考：http://xianbai.me/learn-md/article/about/readme.html</p>
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Build Date UTC : 2018-06-06 01:13:36
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‎search/search_index.json

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‎sitemap.xml

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