Authors: Dr. Chandra Shekhar, Dr. Rakesh Ranjan, Mr. Vivek Tripathi, and Dr. Fateh Bahadur Kunwar

ISBN: 978-81-69857-86-4

DOI: https://doi.org/10.59646/850

Date of Publication: October 11, 2026

Preface

Data Structures Using Python: A Comprehensive Guide to Fundamental and Advanced Concepts is designed to provide a systematic understanding of data structures, algorithmic principles, and computational problem-solving using Python. The book introduces fundamental concepts such as data types, abstract data types, algorithm analysis, time and space complexity, and asymptotic notations, establishing a strong foundation for understanding how data can be organized, processed, and optimized. It explores Python’s built-in data structures, arrays, matrices, stacks, queues, recursion, and linked lists through their implementation, operations, and practical applications. The subsequent units extend this foundation to advanced structures, including trees, binary search trees, AVL trees, B-trees, tries, heaps, graphs, and hashing techniques, with particular emphasis on efficient data representation, traversal, searching, and retrieval.

The book also provides comprehensive coverage of graph algorithms, minimum spanning trees, shortest-path techniques, and a wide range of searching and sorting algorithms, enabling readers to evaluate and select appropriate computational approaches for different problem requirements. Advanced algorithm design paradigms, including divide and conquer, greedy methods, dynamic programming, and backtracking, further develop analytical thinking and algorithmic efficiency. By combining conceptual explanations, Python-based implementations, complexity analysis, and application-oriented examples, this book aims to bridge the gap between theoretical foundations and practical programming skills. It serves as a valuable learning resource for undergraduate and postgraduate students, computer science educators, aspiring software developers, and programming enthusiasts seeking to strengthen their understanding of data structures and algorithms. Ultimately, the book equips readers with the knowledge and technical competence required to design efficient programs, solve computational problems, and build a strong foundation for advanced studies in computer science, software engineering, and algorithm development.