300 Examples of Python Programming - Quickly Build Executable and High-Quality Code

This book takes the development of artificial intelligence as the background, describes the algorithm through actual case applications, and provides Python programmers with more detailed practical solutions for in-depth learning. Mainly from the algorithm, it is divided into mathematics, search, backtracking, recursion, sorting, iteration, greedy, divide and conquer and dynamic programming; from the data structure, it is divided into string, array, pointer, interval, queue, matrix, stack, linked list, hash table, line segment tree, binary tree, binary search tree and graph structure. Aiming at classic algorithms, combined with relevant data structures, it combines problem description, problem examples, code implementation and operation results. The language is concise, simple and easy to understand. It is not only suitable for scientific researchers interested in Python programming, but also suitable as a reference textbook for colleges and universities.