Best Computer Programming Debugging Books of 2025

Python Programming for Beginners: The Complete Guide to Mastering Python in 7 Days with Hands-On Exercises by ICEWIL is an excellent resource for anyone looking to learn Python. The book is designed with the beginner in mind, offering an innovative approach based on three well-defined principles: synthesis, simplicity, and practicality. The author covers topics such as Python's history, installation, object-oriented programming, and the best Python programming techniques to maximize script efficiency. The book's outputs of all examples are provided immediately, making it easy to test them on your computer. Overall, this book is a must-read for anyone who wants to learn Python quickly and easily.

Python Programming for Beginners: The Complete Python Programming Crash Course to Learn Python Coding Well and Fast (with Hands-On Exercises) by ICEWIL is an excellent book for anyone who wants to learn Python programming language. The book is designed to help beginners understand Python programming quickly and efficiently. It starts with the basics of Python programming, including data types, variables, and operators, and progresses to more advanced topics such as functions and modules. The book is unique in that it provides selected practice exercises and examples, making it easy for readers to test their knowledge. Overall, Python Programming for Beginners is a must-read for anyone interested in learning Python programming language.

Bug Bounty Bootcamp is a comprehensive guide for beginners looking to learn web hacking, find bugs, and stay competitive in the booming industry of bug bounties. The book covers everything from choosing a program, writing quality bug reports, and maintaining professional relationships, to exploring common web vulnerabilities, chaining multiple bugs, and advanced techniques like hacking mobile apps and automating the hacking process. This book is an excellent resource for anyone looking to start a career in bug bounty hunting or improve their web hacking skills.

Learn JavaScript Quickly is an excellent beginner’s guide to mastering JavaScript programming, even for those who are new to programming. The book provides a step-by-step mentorship through the crucial concepts, rules, and functions of JavaScript. It also includes two bonus guides on HTML and CSS to ensure that readers are fully equipped with all the essential tools for web development. The author emphasizes the importance of JavaScript in the IT industry and how it can open the door to many job opportunities. Overall, this book is a valuable resource for anyone looking to learn JavaScript programming.

Not With A Bug, But With A Sticker: Attacks on Machine Learning Systems and What To Do About Them is a must-read for anyone involved in AI and cybersecurity. The book offers an engaging and comprehensive account of the cybersecurity threats that AI and ML systems face, based on hundreds of interviews with experts. The authors provide real-world examples of previous attacks and explain how adversaries can exploit AI systems with simple methods. The book is unique in its ability to explain complex science with ease and offers solutions to secure AI systems. The authors' donation of proceeds to Black in AI and Bountiful Children's Foundation is a testament to their commitment to the AI community's advancement.

This book, "Deep Learning with PyTorch Step-by-Step: A Beginner's Guide: Volume I: Fundamentals," is an excellent resource for anyone who wants to learn about PyTorch and deep learning. The author, Daniel, takes an informal approach to the subject, making it easy and enjoyable to read. He breaks down the concepts and tools necessary for developing and training models using PyTorch, including autograd, model classes, datasets, data loaders, and more. By the end of the book, readers will have a solid foundation in PyTorch and be able to develop their own models. Overall, this book is highly recommended for beginners who want to learn about PyTorch.

Applied Hierarchical Modeling in Ecology: Distribution, Abundance, Species Richness is an excellent resource for field biologists and graduate-level students in ecology, conservation biology, and wildlife management. This first volume provides a comprehensive guide to hierarchical models for plant and animal distribution, abundance, and community characteristics using metapopulation data. It covers both classical and Bayesian statistical methods and software programs R and BUGS/JAGS. The book's value lies in its accessibility and unified approach to ecological research, making it an indispensable manual for practitioners and an excellent text for professors teaching hierarchical models in ecology.

This book, "Deep Learning with PyTorch Step-by-Step: A Beginner's Guide: Volume II: Computer Vision," is an easy-to-follow and informal guide for learning PyTorch. It presents a structured and incremental approach to learning PyTorch, and avoids using fancy mathematical notation. This volume covers deep models, activation functions, convolutional neural networks, transfer learning, and more. The book is perfect for those who want to learn about deep learning models for computer vision and are already comfortable training simple models in PyTorch. Overall, it is a great resource for beginners who want to understand the concepts and tools needed for developing, training, and fine-tuning computer-vision models using PyTorch.

Deep Learning with PyTorch Step-by-Step: A Beginner's Guide: Volume III: Sequences & NLP is an exceptional book that provides an easy-to-follow guide to learning PyTorch. The author, Daniel, uses a conversational tone and avoids complex mathematical notation, making the content easy to understand. Volume III introduces readers to recurrent neural networks, sequence-to-sequence models, attention, self-attention, transformers, and natural language processing. The book also includes a crash course on fine-tuning language models using PyTorch. Although more demanding than the previous volumes, readers with a solid understanding of deep learning models will find this volume enjoyable. Overall, this book is an excellent resource for anyone interested in learning PyTorch and deep learning.

"Alice and the Software Bugs" is a fun and educational book that follows Alice, a curious girl who learns how to find and fix software bugs with the help of her software test manager dad. The book is perfect for kids who want to learn more about technology and software testing. The story is accompanied by charming illustrations that will keep the young readers engaged throughout the book. Overall, "Alice and the Software Bugs" is an excellent read for kids who are interested in computer programming and debugging. It is a unique book that teaches important skills in a fun and creative way.