June 30, 2025

Classic Computer Science Problems in Python

29 minutes

Provides a comprehensive exploration of fundamental computer science concepts and their practical applications using Python 3.7. It covers various problem-solving techniques, including recursion, memoization, and bit manipulation, starting with basic search algorithms like binary search, depth-first search (DFS), and breadth-first search (BFS). The book progresses to more complex topics such as constraint-satisfaction problems (CSPs), graph algorithms (including shortest path and minimum spanning tree), genetic algorithms, and K-means clustering. It also introduces neural networks and discusses miscellaneous problems like the knapsack problem and the Traveling Salesman Problem, emphasizing how these classic solutions apply to real-world scenarios and modern software development challenges.

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