Mastering Algorithms with Python : A Practical Approach to Problem Solving and Python Implementation / by Chenyang Shi.

Format:

Book

Author/Creator:

Shi, Chenyang.

Series:

Professional and Applied Computing Series

Language:

English

Subjects (All):

Distributed algorithms.

Python (Computer program language).

Physical Description:

1 online resource (228 pages)

Edition:

1st ed. 2025.

Place of Publication:

Berkeley, CA : Apress : Imprint: Apress, 2025.

Summary:

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 · Understand foundational algorithms such as BFS, DFS, Divide-and-Conquer, Greedy Methods, Dynamic Programming through practical examples · Implement algorithms in Python with step-by-step guidance and fully functional code for future reference · Build a solid foundation in advanced concepts such as Minimum Spanning Trees, Fast Fourier Transform, and Monte Carlo Tree Search · Quickly review Python essentials, including data types, flow control, generators, decorators, and classes to enhance your algorithmic understanding.

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.

Notes:

Description based upon print version of record.

Description based on publisher supplied metadata and other sources.

ISBN:

979-88-6881-799-1

OCLC:

1545644239