Fans pick 72 books like The Art of Computer Programming

Peter Winkler is an outstanding theoretical computer scientist, which is another way of saying that he is a mathematician who loves combinatorics and logic. He brings the precision and clarity of a mathematician to both the presentation and the solutions of his puzzles. The book consists of great puzzles from the centuries. Professor Winkler has excellent taste.

Polya was a great mathematician who knew what counted (after all, he made major contributions to combinatorics, the mathematics of counting). He thought hard about what he was doing when working on problems in mathematics, developing a mental process that lead to creative breakthroughs and solutions. Polya’s problem-solving method is broadly applicable to domains other than mathematics, and this book features many nice puzzles to improve your thinking.

Algorithm design is challenging because it often requires flashes of sudden insight which seem to come out of the blue. But there is a way of thinking about problems that make such flashes more likely to happen. I try to teach this thought process in my books, but Polya got there first.

This is the definitive book series on algorithms and the core of computer programming.

Unlike most such books, Knuth is a real programmer, deep into the details of the craft, to the point of creating his own assembler language and typesetting generation system. It’s partly the substance of the algorithms and their analysis, but even more is the way he models a way of thinking about and solving complexity that makes this a must-read series.

Knuth’s unique mix of playfulness and rigor came to define computer science as an intellectual discipline: computer science didn’t really have anything to do with computers, but everything to do with a particular way of seeing the world.  Just browse and wonder at the beauty and precision achieved in these books.   

Volume 3 (Sorting and Searching) is my personal favorite, and I encourage you to start there. During the pandemic, I finally got around to reading Volume 4A (Combinatorial Algorithms), which was published thirty plus years after Volume 3. It was the same feeling I had watching the movie The Phantom Menace years after growing up with the original Star Wars trilogy. I had forgotten just how unique and distinctive Knuth’s Art of Computer Programming is.

This multi-volume book is, for me, a masterpiece that goes far beyond just coding or algorithms or data structures, and serves as a profound exploration of algorithmic thinking and computer science's theoretical foundations, going deeply into the performance of algorithms and the behavior of data structures.

Knuth's meticulous approach, coupled with his clear and engaging prose (with occasional touches of humor) clearly explains complex concepts, and shows a deep understanding of the artistry inherent in solving computational problems.

Bill Gates said that anybody who went through all its volumes would get a job at his company, and I surely agree! I would recommend this book both for novice or seasoned programmers, because you will always find invaluable insights in it.

This book is essential in that it follows a systematic and scientific approach to software development, advocating for clarity in expressing algorithms, providing a rigorous framework for designing and reasoning about programs, and, fundamentally, always focusing on formal methods and mathematical techniques to ensure correctness and efficiency in programming code.

Most importantly, the book doesn’t just show you how to prove programs correct, but also teaches how to arrive from a definition to an efficient and correct solution, so I would recommend this to every developer.

Smalltalk is not as common or popular as it once was, but the influence its design had on programming is hard to overstate.

Reading this book has changed how I think about object orientation, and how I design systems, learning the patterns of Smalltalk makes it clear what object oriented design is really intended to achieve.

I’ve read a lot of books about programming; very few of them have made me laugh. None made me laugh as much as this book.

There’s one chapter where… nah, I don’t want to spoil it for you. Plus it has cartoons! Obviously, none of that would matter unless it also had interesting things to say about the practice of programming, but it’s packed full of interesting perspectives on all sorts of issues, from team dynamics to thinking about your career to an explicit consideration of the ethics of programming.

When we make games at Sucker Punch, we aim to “surprise and delight” the player—and that’s exactly what this book did for me.

If you want your interactive graphics to feel like they are real objects—real things moving around on the screen—then you have to learn how to mimic the natural world. For an object to feel like it has weight, you have to mimic gravity. For a flock of birds to feel real, you have to mimic how real birds swarm in the sky. Yes, this does involve little math. But fortunately, Dan is a superstar teacher, and he will gently walk you through (a) the math and (b) how to translate that math into code.

Speaking of code, this book uses Processing.js, which is an older adaptation of original Processing to JavaScript. That said, the techniques are all equally applicable to modern-day Processing and p5.js.

By contrast to my previous 20-year-old book recommendation, this one is brand new.

When I was learning Java, we used the (now classic) “Gang of Four” book for Patterns. For design patterns, language syntax does matter. Miro covers the Gang of Four patterns and new ones using the same categories – creational, structural, and behavioral.

Miro also adds concurrency and anti-patterns which weren’t in the original GoF. I like that he includes review questions. This is very key info to know and mastering it with a modern book is very useful. Plus Miro includes examples of that pattern in the JDK itself.