The best 20 Data Structures books

Data Structures Using C and C++ by Yedidyah Langsam is a comprehensive guide that delves into the fundamental concepts of data structures and their implementation in C and C++. It covers topics such as arrays, linked lists, stacks, queues, trees, and graphs, providing clear explanations and code examples. Whether you're a beginner or an experienced programmer, this book will help you understand and master data structures in these popular programming languages.

Data Structures Using C by Reema Thareja provides a comprehensive introduction to data structures and their implementation in the C programming language. The book covers topics such as arrays, linked lists, stacks, queues, trees, and graphs, and includes numerous examples and exercises to help readers understand the concepts and improve their programming skills.

Data Structures Using Pascal by Aaron M. Tenenbaum is a comprehensive guide that introduces the fundamental concepts of data structures and their implementation in the Pascal programming language. This book provides clear explanations and practical examples to help readers understand how data structures work and how they can be used to solve real-world problems.

Genetic Algorithms + Data Structures = Evolution Programs by Zbigniew Michalewicz explores the fascinating world of genetic algorithms and their applications in solving complex optimization problems. The book delves into the principles of evolution and natural selection, and demonstrates how these concepts can be applied to create efficient algorithms for solving real-world problems. With a focus on practical implementation and real-life examples, it offers valuable insights for anyone interested in the intersection of computer science and evolutionary biology.

Algorithms in C++ by Robert Sedgewick provides a comprehensive guide to fundamental algorithms and data structures using the C++ programming language. It covers topics such as sorting, searching, graph algorithms, and more, offering clear explanations and practical examples. Whether you're a beginner or an experienced programmer, this book is a valuable resource for understanding and implementing efficient algorithms in C++.

Data Model Patterns by David C. Hay provides a comprehensive guide to understanding and applying data modeling techniques. It offers a collection of reusable data models and patterns that can be applied to various industries and business scenarios. This book is a valuable resource for data architects, database designers, and anyone involved in the development of data-driven applications.

Data Structures and Algorithms Made Easy by Narasimha Karumanchi is a comprehensive guide that simplifies the complex topics of data structures and algorithms. It provides easy-to-understand explanations, real-world examples, and practical tips to help readers grasp the fundamental concepts. Whether you're a student or a professional, this book will help you build a strong foundation in data structures and algorithms.

Algorithms in C, Parts 1-5 by Robert Sedgewick is a comprehensive guide to understanding and implementing essential algorithms in the C programming language. It covers a wide range of topics including sorting, searching, graph algorithms, and more. With clear explanations and practical examples, this book is a valuable resource for anyone looking to deepen their knowledge of algorithm design and analysis.

Advanced Data Structures by Peter Brass provides a deep dive into complex data structures and their applications. From balanced search trees to advanced hashing techniques, this book offers a comprehensive exploration of the topic. It is a valuable resource for computer science students and professionals looking to enhance their understanding of data organization and manipulation.

A Common-Sense Guide to Data Structures and Algorithms by Jay Wengrow offers a practical and easy-to-understand approach to learning the fundamental concepts of data structures and algorithms. With real-world examples and clear explanations, this book is perfect for beginners looking to build a strong foundation in computer science.

Grokking Algorithms is a friendly and practical guide that takes you on a journey through fundamental computer algorithms. Written by Aditya Bhargava, the book uses real-world examples and simple language to help you understand complex concepts. Whether you're new to programming or looking to refresh your knowledge, this book will equip you with the essential skills to tackle algorithmic problems.

Algorithms in C++, Parts 1-4 by Robert Sedgewick is a comprehensive guide to understanding and implementing fundamental algorithms and data structures in C++. It covers topics such as sorting, searching, graph algorithms, and more. With clear explanations and practical examples, this book is a valuable resource for both students and professionals in the field of computer science.

Joe Celko's Trees and Hierarchies in SQL for Smarties is a comprehensive guide that delves into the complex world of managing hierarchical data in SQL databases. With practical examples and in-depth explanations, Celko explores various tree and graph structures, as well as advanced SQL techniques for querying and manipulating hierarchical data. Whether you're a beginner or an experienced SQL developer, this book will expand your knowledge and empower you to tackle challenging hierarchical data tasks with confidence.

Data Structures, Algorithms, and Software Principles in C by Thomas A. Standish provides a comprehensive guide to understanding and implementing fundamental data structures and algorithms using the C programming language. It covers topics such as arrays, linked lists, stacks, queues, trees, sorting and searching algorithms, and more. With clear explanations and practical examples, this book is an essential resource for computer science students and professionals.

The Practical SQL Handbook by Judith S. Bowman is a comprehensive guide to SQL programming. It covers everything from basic concepts to advanced techniques, making it a valuable resource for both beginners and experienced SQL users. With clear explanations and practical examples, this book is designed to help readers master SQL and apply it effectively in real-world scenarios.

Classic Computer Science Problems in Python by David Kopec is a practical book that takes you through various classic problems in computer science and shows you how to solve them using Python. From searching and sorting algorithms to graph algorithms and machine learning techniques, this book provides clear explanations and code examples to help you understand and implement these fundamental concepts.

Data Structures and the Java Collections Framework by William J. Collins is a comprehensive guide that explores the fundamental concepts of data structures and their implementation using Java. The book provides clear explanations and practical examples to help readers understand the importance of data structures and how they can be utilized to solve complex problems in software development.

JavaScript Data Structures and Algorithms by Sammie Bae is a comprehensive guide that delves into the fundamental concepts of data structures and algorithms using JavaScript. The book provides clear explanations and real-world examples to help you understand how to implement and apply these concepts in your own JavaScript projects. Whether you're a beginner or an experienced developer, this book will equip you with the knowledge and skills to optimize your code and solve complex problems efficiently.

The Garbage Collection Handbook by Richard Jones is a comprehensive guide to the concepts and techniques behind automatic memory management in programming languages. It delves into the inner workings of garbage collection, exploring different algorithms, implementation strategies, and performance considerations. Whether you're a beginner or an experienced developer, this book offers valuable insights into a critical aspect of software development.

Thinking with Data by Max Shron is a comprehensive guide that teaches readers how to approach data analysis effectively. It focuses on the importance of asking the right questions and understanding the context before diving into data. Shron provides practical strategies and real-world examples to help readers develop a thoughtful and strategic mindset when working with data.