Artículo: AMZ-B0FBWHKMFJ

Essential Algorithms for Beginners: Mastering the Fundamentals of Algorithms & Data Structures (The Computer Scientists Algorithmic Mastery Series)

Format:

Hardcover

Hardcover

Paperback

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0.94 kg
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USA

Sobre este producto
  • This book combines clear text explanations, essential math, informative infographics, and complete Python examples to give beginners a well-rounded understanding of algorithms and data structures.Essential Algorithms for Beginners is a clear and structured guide to the foundational concepts every new programmer or computer science student must understand. Covering a wide range of core topics—from sorting and searching to trees, graphs, recursion, and dynamic programming—this book is designed for those who want a complete, accessible introduction to the fundamentals of algorithm design and analysis.Each chapter focuses on a specific category of algorithms or data structures, breaking them down with plain-language explanations, simple math, and carefully chosen examples. An appendix of Python code implementations provides a practical reference for those who want to see how the concepts translate into working code.🔍 What You’ll LearnWhat algorithms are and how to evaluate them using Big-O notationFundamental searching and sorting methods, including binary search, bubble sort, and quicksortKey data structures such as arrays, linked lists, stacks, queues, binary trees, and basic graphsAlgorithm strategies including recursion, backtracking, divide and conquer, and dynamic programmingBasic number theory and modular arithmetic with real-world relevanceIntroductory graph and string algorithmsStep-by-step pseudocode and problem breakdowns throughoutA full appendix of Python code implementations for all major algorithms👤 Who It’s ForBeginners learning algorithms for the first timeStudents in early computer science or software engineering coursesSelf-taught programmers needing a structured foundationAnyone seeking to understand the logic and design behind common algorithmsUnderstand algorithms from the ground up—mathematically, logically, and practically. This is your essential starting point.
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