03403nam 22005175 450 991103486600332120251016173422.0979-88-6881-799-110.1007/979-8-8688-1799-1(MiAaPQ)EBC32345834(Au-PeEL)EBL32345834(CKB)41640998400041(CaSebORM)9798868817991(OCoLC)1545644239(OCoLC-P)1545644239(DE-He213)979-8-8688-1799-1(EXLCZ)994164099840004120251014d2025 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierMastering Algorithms with Python A Practical Approach to Problem Solving and Python Implementation /by Chenyang Shi1st ed. 2025.Berkeley, CA :Apress :Imprint: Apress,2025.1 online resource (228 pages)Professional and Applied Computing SeriesDescription based upon print version of record.979-88-6881-798-4 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.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.Professional and Applied Computing SeriesDistributed algorithmsPython (Computer program language)Distributed algorithms.Python (Computer program language)005.13Shi Chenyang1852828MiAaPQMiAaPQMiAaPQBOOK9911034866003321Mastering Algorithms with Python4448705UNINA