Master essential algorithms using Python through practical, real-world examples. From BFS and DFS to Dynamic Programming, this guide by Chenyang Shi helps developers and data scientists strengthen their problem-solving and coding skills with clarity and confidence.
Discover how to think like a problem solver and code like a pro with Mastering Algorithms with Python by Chenyang Shi — the ultimate guide for anyone looking to strengthen their algorithmic thinking and Python skills. This book demystifies complex concepts through step-by-step examples and real-world applications.
You’ll explore essential algorithms such as Breadth-First Search (BFS), Depth-First Search (DFS), Divide-and-Conquer, Greedy Methods, and Dynamic Programming, with clear Python implementations you can immediately apply. From beginner to advanced, each chapter builds your understanding through relatable examples like chess strategies, Seam Carving, and optimization challenges.
Ideal for software developers, data scientists, and machine learning practitioners, this book bridges the gap between theory and application. Learn not only how algorithms work, but why they matter — and how to use them to solve real-world programming problems with confidence.
Perfect for classroom learning, personal study, or as a coding reference, Mastering Algorithms with Python is your gateway to becoming a more analytical, efficient, and confident Python programmer.
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