11 Informative Computer Science Books Series

This book is particularly helpful as it is packed with practical, interesting projects. It encourages a DIY (Do-It-Yourself) culture among students. It also helps that one can relate to most of the projects listed in the book. Many of them are software projects; for instance sending an email directly from Python. Working on the projects listed in the book makes for a fun experience even as students get hands-on training.

This book provides the mathematical foundation needed to think like a computer scientist. In order to understand computer science algorithms, you’ll need to have a solid understanding of discrete math, and this book provides an accessible introduction to the subject without requiring much background. This specific book is widely used across many top universities, and is widely recognized as one of the best textbooks on the topic.

Haskell The craft of functional programming by Simon Thompson is a complete computer science series and number one source for students and programmers with little no experience. This computer science book series explains the process of creating programmer, problem-solving techniques, and avoiding common programming pitfalls. The best thing I like about this book series is that it covers basic functional programming before being introduced to more advanced topics.

It’s a classic and I book I have personally bought and gifted to probably 100 junior developers over the years. Understanding these patterns will not only help developers write better code, but also more deeply understand all the different frameworks we find ourselves in made the design decisions they made.

The author has done an excellent job of explaining extremely complex algorithms and showing their importance and implementation to real life (though it’s hard to tell how useful the explanations are without giving it a read. A lot of great and unexpected insights also lye in this book. Although it is a book for everyone starting from novice to expert level in understanding of how algorithms work and how to implement.

Bullseye Breach: Anatomy of an Electronic Break-In continues a proud tradition of using realistic fiction to teach real-world lessons. After overseas attackers steal forty million customer credit card numbers from Bullseye Stores over a busy Christmas shopping season, an ad-hoc team in Minneapolis finds a way to fight back.

In Virus Bomb, published in 2019, after nobody heeded his warnings, a bald-headed, middle-aged IT contractor uncovered the largest cyberattack in history and saved millions of lives from the follow-on biological attack. Start reading either novel and you won’t want to put them down.

I highly recommend this book as it teaches you about algorithms, hardware, virtual machines, software development, and much more. The book also teaches you about the latest materials on privacy, drones, cloud computing, and net neutrality.

Open Source Intelligence Techniques: Resources for Searching and Analyzing Online Information by Michael Bazzell. This book puts the power back in your hands. The new OSINT professional must be self-sustaining and possess their own tools and resources.

The Pragmatic Programmer: your journey to mastery by David Thomas illustrates the best practices and major pitfalls of many different aspects of software development. Whether you’re a new coder, an experienced programmer, or a manager responsible for software projects, use these lessons daily, and you’ll quickly see improvements in personal productivity, accuracy, and job satisfaction.

Don’t Make Me Think, Revisited: A Common Sense Approach to Web Usability by Steve Krug was first published in 2000. He returns with fresh perspective to reexamine the principles that made Don’t Make Me Think a classic-with updated examples and a new chapter on mobile usability.