Data Structures and Algorithms in Python: Solve Complex Problems with Python’s Built-in Libraries - Tapa blanda

Data Structures and Algorithms in Python (Paperback)

Paperback. Condición: new. Paperback. Unlock the power of computational problem-solving with "Data Structures and Algorithms in Python: Solve Complex Problems with Python's Built-in Libraries" by Greyson Chesterfield. This essential guide equips programmers, computer science students, and professionals with the tools needed to design efficient, optimized solutions for real-world challenges.Combining theoretical knowledge with practical implementation, this book offers a comprehensive exploration of data structures and algorithms using Python's rich ecosystem. Here's what you'll learn: Master Core Data Structures: Explore arrays, linked lists, stacks, queues, trees, graphs, and hash tables, with clear explanations and real-world examples.Dive Deep into Algorithms: Understand sorting, searching, recursion, dynamic programming, and graph algorithms to enhance computational efficiency.Leverage Python Libraries: Maximize productivity with Python's built-in libraries, including collections, NumPy, and itertools, for seamless coding.Optimize Problem-Solving: Learn best practices for code optimization and debugging, essential for developing scalable applications.Prepare for Interviews: Tackle common coding interview problems with confidence, thanks to guided exercises and expert insights.With interactive examples, diagrams, and exercises tailored for all levels of expertise, this book bridges the gap between theory and practice. Greyson Chesterfield empowers you to think critically, solve complex problems, and excel in your programming journey.Whether you're a beginner or an experienced developer, this book is your ultimate companion for mastering data structures and algorithms. Take your coding skills to the next level-order your copy today and start solving problems like a pro! Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Nº de ref. del artículo: 9798304730167

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