1. Grokking Algorithms: An Illustrated Guide for Programmers and Other Curious People
Authored by Aditya Bhargava, “Grokking Algorithms” is a fantastic resource for anyone interested in understanding algorithms in a visual and approachable manner. This book transcends traditional technical jargon, making complex concepts easy to grasp with illustrations and real-world examples. Whether you are a beginner or looking to refresh your knowledge, this book covers the essential algorithms along with their practical applications, making it a must-read for both programmers and curious minds alike. 
2. Prim’s Algorithm in Java: A Deep Dive
In this insightful book by Haocheng Lin, “Prim’s Algorithm in Java” presents an in-depth exploration of one of the most crucial algorithms in computer science. Released recently, this book breaks down the intricacies of Prim’s algorithm and its significance in finding the minimum spanning tree in graphs. The practical examples and code snippets will guide Java developers through implementing and understanding the workings of the algorithm, making it a valuable addition to your programming library. 
3. Graph Theory with Algorithms and its Applications: In Applied Science and Technology
Authored by Santanu Saha Ray, this book is an essential read for anyone interested in graph theory and its practical applications. “Graph Theory with Algorithms and its Applications” discusses complex graph topics in a clear, detailed manner, integrating algorithms with their real-world applications across various fields. This makes it a potentially transformative book for engineers and computer scientists looking to enhance their understanding and capabilities in applied sciences. 
4. Algorithm and Design Complexity
“Algorithm and Design Complexity” is a comprehensive guide by multiple authors including Anli Sherine, Mary Jasmine, and Geno Peter. Released in late 2024, this book explores the challenging world of algorithm design and its impact on computing. Covering intricate topics ranging from the complexity of algorithms to practical design considerations, this book serves as a crucial resource not only for students but also for professionals who strive to enhance their design skills and understanding of algorithm efficiency. 
5. ENGINEERING MATHEMATICS CSE,AIML, AIDS Handwritten Notes
Handwritten notes curated by Suresh Renge for critical algorithms like Dijkstra’s, Prim’s, and Kruskal’s make this $1 resource an exceptional find! These notes blend educational content with practical insights, effectively preparing students in fields like computer science and artificial intelligence. Perfect for quick revisions, this product captures complex concepts succinctly, ensuring readers grasp essential ideas without the overload of theory. 
6. Discrete Mathematics for Computer Science
“Discrete Mathematics for Computer Science” by Jon Pierre Fortney stands out as a foundational text exploring the building blocks of computer science. With its thoughtful examination of mathematical concepts and their relevance to computing, this book is perfect for students eager to frame their understanding of algorithms within the broader context of discrete structures. Understanding these concepts will elevate your skills in computer science. 
7. The Art of Algorithm Design
Co-authored by Sachi Nandan Mohanty, Pabitra Kumar Tripathy, and Suneeta Satpathy, “The Art of Algorithm Design” delves into the principles and methodologies of creating efficient algorithms. This book not only highlights theoretical aspects but also emphasizes practical applications and design paradigms, which makes it an indispensable resource for students, educators, and professionals expanding their knowledge in algorithmic design. 
8. Discrete Mathematics: Graph Algorithms, Algebraic Structures, Coding Theory, and Cryptography
Written by Sriraman Sridharan and R. Balakrishnan, this book covers essential topics in discrete mathematics including graph algorithms and coding theory. Its comprehensive approach equips readers with an understanding of both theoretical and practical implications, making it a worthy read for anyone studying computer science or mathematics. The practical examples and relevance to real-world applications ensure that this book remains both educational and applicable. 
9. A Quick Reference to DATA STRUCTURES and COMPUTER ALGORITHMS
This handy reference by Raji Ramakrishnan Nair and team introduces readers to the beauty of blockchain while covering fundamentals of data structures and algorithms. It’s an insightful guide that provides quick access to essential concepts, making it an excellent resource for students and practitioners alike. As a comprehensive overview, it helps ease the burden of developing a deep understanding of data structures, thus proving to be a valuable tool in the field. 
10. Data Structures Through C++ (4th Edition)
Yashavant Kanetkar’s “Data Structures Through C++” combines traditional data structure education with an engaging approach. The 4th edition reflects updated content along with animations that bring concepts to life. This book serves as an excellent teaching aid for those interested in mastering C++ programming, featuring thorough explanations and comprehensive examples that can enhance your coding capabilities. 
