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

Sinopsis

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 algorithms are and how to evaluate them using Big-O notation

• Fundamental searching and sorting methods, including binary search, bubble sort, and quicksort

• Key data structures such as arrays, linked lists, stacks, queues, binary trees, and basic graphs

• Algorithm strategies including recursion, backtracking, divide and conquer, and dynamic programming

• Basic number theory and modular arithmetic with real-world relevance

• Introductory graph and string algorithms

• Step-by-step pseudocode and problem breakdowns throughout

• A full appendix of Python code implementations for all major algorithms

• Beginners learning algorithms for the first time

• Students in early computer science or software engineering courses

• Self-taught programmers needing a structured foundation

• Anyone seeking to understand the logic and design behind common algorithms

Understand algorithms from the ground up—mathematically, logically, and practically.
This is your essential starting point.

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