Data Structures in Java for the Principled Programmer (2007) is a comprehensive guide to understanding and implementing data structures using Java programming language. This book is authored by Duane A. Bailey, a renowned computer science professor, and programmer.
The book offers an in-depth discussion of data structures, including their definitions, properties, and applications. It starts by introducing basic concepts such as arrays, linked lists, and trees, and then progresses to more advanced topics such as graphs, heaps, and hash tables.
One of the main strengths of this book is its focus on the principles of programming. The author emphasizes the importance of writing clean, efficient, and maintainable code. He discusses best practices for designing algorithms, choosing appropriate data structures, and analyzing the time and space complexity of programs.
Another notable feature of this book is its use of Java as the programming language. The author explains the Java syntax and semantics necessary for understanding data structures and algorithms, making it accessible even for readers with little or no prior Java programming experience.
Throughout the book, the author provides numerous code examples and exercises that reinforce the concepts presented in each chapter. These exercises range from simple coding tasks to more complex problems that require a deeper understanding of the material.
Data Structures in Java for the Principled Programmer (2007) is an excellent resource for students, programmers, and anyone interested in learning about data structures and algorithms. The book’s clear and concise writing style, combined with its practical approach to programming, makes it an ideal textbook for computer science courses or a valuable reference for practicing programmers.
Overall, this book is a must-read for anyone who wants to master data structures in Java and become a more principled programmer. Whether you are a beginner or an experienced programmer, you will find this book informative, engaging, and easy to follow.