Mastering algorithms python practical von shi chenyang (2 Ergebnisse)
Mastering Algorithms with Python | A Practical Approach to Problem Solving and Python Implementation
- Softcover
Anbieter: preigu, Osnabrück, Deutschlandpreigu
Verkäufer/-in kontaktierenVerkäufer/-in mit 5 SternenZustand: Neu
EUR 35,50
EUR 70,00 VersandVersand von Deutschland nach USAAnzahl: 1 verfügbar
Taschenbuch. Zustand: Neu. Mastering Algorithms with Python | A Practical Approach to Problem Solving and Python Implementation | Chenyang Shi | Taschenbuch | xvi | Englisch | 2025 | Apress | EAN 9798868817984 | Verantwortliche Person für die EU: APress in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin, ju…ergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Mastering Algorithms with Python : A Practical Approach to Problem Solving and Python Implementation
- Softcover
Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH
Verkäufer/-in kontaktierenVerkäufer/-in mit 5 SternenZustand: Neu
EUR 42,42
EUR 62,81 VersandVersand von Deutschland nach USAAnzahl: 2 verfügbar
Taschenbuch. Zustand: Neu. Neuware - 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 suc…h 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 understandingWho This Book Is ForSoftware developers, data scientists, machine learning professionals and any curious learners about computer algorithms.
