chenyang shi (26 resultados)

Condición: As New. Unread book in perfect condition.

Condición: New.

Condición: New.

Paperback. Condición: New. First Edition.

Paperback. Condición: New. First Edition.

PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

Condición: As New. Unread book in perfect condition.

paperback. Condición: New.

Condición: New.

Taschenbuch. Condición: 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 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 understandingWho This Book Is ForSoftware developers, data scientists, machine learning professionals and any curious learners about computer algorithms. 277 pp. Englisch.

Taschenbuch. Condición: 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.

Paperback. Condición: New. First Edition.

Condición: New. pp. 352.

Taschenbuch. Condición: 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.Libri GmbH, Europaallee 1, 36244 Bad Hersfeld 277 pp. Englisch.

Condición: New. pp. 352.

Taschenbuch. Condición: 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 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 understandingWho This Book Is ForSoftware developers, data scientists, machine learning professionals and any curious learners about computer algorithms.

Taschenbuch. Condición: 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, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Paperback. Condición: New. First Edition.

Condición: New. pp. 352.

Taschenbuch. Condición: 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. 296 pp. Englisch.

Paperback. Condición: new. Paperback. 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 understandingWho This Book Is ForSoftware developers, data scientists, machine learning professionals and any curious learners about computer algorithms. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Condición: new. Questo è un articolo print on demand.

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - 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 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 understandingWho This Book Is ForSoftware developers, data scientists, machine learning professionals and any curious learners about computer algorithms. 277 pp. Englisch.

Paperback. Condición: new. Paperback. 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 understandingWho This Book Is ForSoftware developers, data scientists, machine learning professionals and any curious learners about computer algorithms. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Paperback. Condición: new. Paperback. 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 understandingWho This Book Is ForSoftware developers, data scientists, machine learning professionals and any curious learners about computer algorithms. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.