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 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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