Top Computer Science books curated by experts

Introduction to Algorithms uniquely combines rigor and comprehensiveness. It covers a broad range of algorithms in depth, yet makes their design and analysis accessible to all levels of readers, with self-contained chapters and algorithms in pseudocode.

“Artificial Intelligence: A Modern Approach” goes beyond the basics and delves into advanced topics in AI. It covers natural language processing, an area concerned with enabling computers to understand and generate human language. The book explores techniques for parsing, semantic analysis, and …

The Mythical Man-Month: Essays on Software Engineering is a book on software engineering and project management by Fred Brooks first published in 1975, with subsequent editions in 1982 and 1995. Its central theme is that adding manpower to a software project that is behind schedule delays it eve…

Previously undocumented, these 23 patterns allow designers to create more flexible, elegant, and ultimately reusable designs without having to rediscover the design solutions themselves. The authors begin by describing what patterns are and how they can help you design object-oriented software.<…

Released just three years ago, The Big Fat Notebooks revolutionized the study guide for middle schoolers, and students, parents, and teachers responded—the series has nearly 4 million copies in print with sales escalating every year. Now introducing Everything You Need to Ace Computer Science an…

This introduction to compilers is the direct descendant of the well-known book by Aho and Ullman, Principles of Compiler Design. The authors present updated coverage of compilers based on research and techniques that have been developed in the field over the past few years. The book provides a t…

"The Self-taught Programmer" is a roadmap, a guide to take you from writing your first Python program, to passing your first technical interview. I divided the book into five sections: 1. Learn to program in Python 3 and build your first program.

This is a who's who in the programming world - a fascinating look at how some of the best in the world do their work. Patterned after the best selling Founders at Work, the book represents two years of interviews with some of the top programmers of our times.

So you want to be a programmer? Or maybe you just want to be able to make your computer do what YOU want for a change? Maybe you enjoy the challenge of identifying a problem and solving it. If programming intrigues you for whatever reason, Beginning Programming All In One Desk Reference For Dumm…

In this introductory textbook the author explains the key topics in cryptography. He takes a modern approach, where defining what is meant by "secure" is as important as creating something that achieves that goal, and security definitions are central to the discussion throughout.

Refactoring is improving or updating code without changing its external function or nonfunctional attributes. Refactoring cleans up the nonfunctional elements of software, making it easier to maintain, extend, integrate, align with evolving standards, and continue performing at acceptable speeds…

Written by renowned data science experts Foster Provost and Tom Fawcett, Data Science for Business introduces the fundamental principles of data science, and walks you through the "data-analytic thinking" necessary for extracting useful knowledge and business value from the data you collect. Thi…

The Pragmatic Programmer is one of those rare tech books you’ll read, re-read, and read again over the years. Whether you’re new to the field or an experienced practitioner, you’ll come away with fresh insights each and every time.
Dave Thomas and Andy Hunt wrote the first edition of this inf…