使用python对LeetCode题库进行解答。

官网源文件，方便大家下载。可以在华章官网申请下载，可能寻找起来较为麻烦。该资源为教材配套、公开资源。

《数据结构Python》高清PDF版，对数据结构感兴趣的以及不想用C/C++编程的，可以参考次书，希望对你有所帮助！！！

python数据结构实现（一）：数组和链表及相关LeetCode题 数组和链表.pdf

主要介绍了Python数据结构与算法之图的广度优先与深度优先搜索算法,结合实例形式分析了图的广度优先与深度优先搜索算法原理与相关实现技巧,需要的朋友可以参考下

包含课题的python源码，实验报告以及测试数据等资源。 对于给定文本库，用户提交检索关键词（例如： NBA, basket, ball），在文本库中查询与检索关键词最相关的 k 个文本（例如 k=5），并根据文本与检索关键词的相关度，对这 k 个文本进行排序，将排序后的结果返回给用户。 使用TF-IDF权值衡量关键词对于某篇文章的重要性，从而根据关键词挑选出相关性较高的文本。首先程序加载文本库，并对数据进行处理，用户输入一个或多个关键词，分别输出前五的各检索关键词的文本排序序列。

Data Structures and Algorithms with Python，2015年最新出版

Python数据结构与算法（英文） Data Structures and Algorithms with Python

Python数据结构和大厂面试攻略

Python Data Structures and Algorithms by Benjamin Baka English | 30 May 2017 | ASIN: B01IF7NLM8 | 310 Pages | AZW3 | 6.63 MB Key Features A step by step guide, which will provide you with a thorough discussion on the analysis and design of fundamental Python data structures. Get a better understanding of advanced Python concepts such as big-o notation, dynamic programming, and functional data structures. Explore illustrations to present data structures and algorithms, as well as their analysis, in a clear, visual manner. Book Description Data structures allow you to organize data in a particular way efficiently. They are critical to any problem, provide a complete solution, and act like reusable code. In this book, you will learn the essential Python data structures and the most common algorithms. With this easy-to-read book, you will be able to understand the power of linked lists, double linked lists, and circular linked lists. You will be able to create complex data structures such as graphs, stacks and queues. We will explore the application of binary searches and binary search trees. You will learn the common techniques and structures used in tasks such as preprocessing, modeling, and transforming data. We will also discuss how to organize your code in a manageable, consistent, and extendable way. The book will explore in detail sorting algorithms such as bubble sort, selection sort, insertion sort, and merge sort. By the end of the book, you will learn how to build components that are easy to understand, debug, and use in different applications. What you will learn Gain a solid understanding of Python data structures. Build sophisticated data applications. Understand the common programming patterns and algorithms used in Python data science. Write efficient robust code. About the Author Benjamin Baka works as a software developer and has over 10 years, experience in programming. He is a graduate of Kwame Nkrumah University of Science and Technology and a member of the Linux Accra User Group. Notable in his language toolset are C, C++, Java, Python, and Ruby. He has a huge interest in algorithms and finds them a good intellectual exercise. He is a technology strategist and software engineer at mPedigree Network, weaving together a dizzying array of technologies in combating counterfeiting activities, empowering consumers in Ghana, Nigeria, and Kenya to name a few. In his spare time, he enjoys playing the bass guitar and listening to silence. You can find him on his blog. Table of Contents Python objects, types and expressions Python data types and structures Principles of data structure design Lists and pointer structures Stacks and Queues Trees Hashing and symbol tables Graphs and other algorithms Searching Sorting Selction Algorithms Design Ttechniques and Sstrategies Implementations, applications and tools