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Home > Computing and Information Technology > Computer programming / software engineering > Programming and scripting languages: general > Mastering Algorithms with Python: A Practical Approach to Problem Solving and Python Implementation
Mastering Algorithms with Python: A Practical Approach to Problem Solving and Python Implementation

Mastering Algorithms with Python: A Practical Approach to Problem Solving and Python Implementation


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About the Book

Gain a solid understanding of algorithms and improve your problem-solving abilities using Python code. With practical examples and clear explanations, this book bridges the gap between dense academic texts and overly simple industry guides. Focusing on the logic behind essential algorithms such as Breadth First Search (BFS), Depth First Search (DFS), Divide-and-Conquer, Greedy Methods, and Dynamic Programming, the book provides ample examples, from easy to more advanced. By connecting these concepts to real-world examples, such as chess strategies and the Seam Carving, the book helps readers better grasp and apply algorithms. Each chapter also includes fully implemented Python code, making it a practical reference. Mastering Algorithms with Python is ideal for IT professionals looking to enhance their skills and approach algorithms with clarity and confidence. What You Will Learn - - - - Who This Book Is For Software developers, data scientists, machine learning professionals and any curious learners about computer algorithms.

Table of Contents:
Chapter 1: Recursion.- Chapter 2: Divide and Conquer.- Chapter 3: Greedy Algorithm.- Chapter 4: Dynamic Programming.- Chapter 5: RSA Cryptosystem.- Chapter 6: Monte Carlo.- Chapter 7: A Tale of Ten Cities.- Chapter 8: Chess.- Appendix: A Quick Review of Python.- Appendix B: Environment Setup and Package Installation.- Appendix C: References.

About the Author :
Chenyang Shi is a Data Science manager at a leading consulting firm, specializing in applying machine learning and data science to enhance marketing and commercialization forecasting for major pharmaceutical clients. He earned his Ph.D. from Department of Applied Physics and Applied Mathematics at Columbia University (2015) and a Master's in Computer Science with a focus on Machine Learning from Georgia Institute of Technology (2020). With over a decade of Python programming experience, Chenyang is the lead author of two peer-reviewed software programs, JRgui (published at ACS Omega) and xINTERPDF (Journal of Applied Crystallography), comprising over 7,500 lines of Python code.


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Product Details
  • ISBN-13: 9798868817984
  • Publisher: Apress
  • Publisher Imprint: Apress
  • Height: 254 mm
  • No of Pages: 277
  • Sub Title: A Practical Approach to Problem Solving and Python Implementation
  • ISBN-10: 8868817985
  • Publisher Date: 14 Oct 2025
  • Binding: Paperback
  • Language: English
  • Returnable: N
  • Width: 178 mm


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