89 books like Foundation ActionScript 3.0 Animation

If I were getting started with coding graphics today, I would start with this book, hands down. Learning p5 is the easiest way to create interactive graphics that run in a web browser, and this book is a very friendly, accessible, and beautifully illustrated introduction to coding graphics with p5.js—no prior experience needed. You might be wondering about the name “p5.js”. It’s a JavaScript library (that’s the “.js” part) based on Processing, the open-source programming language created for artists and designers. (More on Processing in a moment.) I have taught college courses with this book, and students love it. Plus, all the skills you learn here with p5 are applicable to JavaScript—the world’s most popular programming language—more generally.

I love this book so much. It is a bit less “how-to” and a bit more “why in the world are we interested in programming and what does that mean for us as individuals and also for society at large?” That is to say, you can learn to code from this book—in JavaScript with p5.js, specifically—but Aesthetic Programming is not merely about learning to code; it’s also a provocative, critical exploration of code as a medium for thought, communication, and creative expression. When you code, you’re participating in the creation of “computational culture.” With this book by your side, you will be a more self-aware cultural citizen. (Also, this book is visually so, so beautiful. Just leafing through the pages inspires me.)

This book changed my life. Known simply as “the blue book” in creative coding circles, I discovered this in a bookstore in Cambridge, Mass., just blocks from where Casey and Ben had created Processing at MIT (and then wrote this book). It opened me up to Processing—their programming language for artists and designers—but also to code as a creative medium. Until then, I saw code as a dry, tedious way to fight with computers. Now I know that code can be just as expressive, engaging, and emotional as prose and poetry.

While the syntax in this book is for Processing (which you can download and run on your computer for free), the concepts are equally applicable to p5.js (which runs in a web browser, also for free).

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.

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.

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 profoundly changed how I approach functional programming. I found its deep dive into core concepts like recursion, abstraction, and modularity incredibly insightful. The exercises pushed me to think critically and refine my problem-solving process.

Despite being an older book, its content remains relevant and valuable to me.  I consider it the best pragmatic introduction to functional programming.

Michael Lopp, or Rands, as he is commonly known online, has been sharing his knowledge as a software manager for years, mainly through his blog. He is one of the most insightful voices about the art of management in a software environment, and even if you are not a manager yourself (and don’t want to become one), will make you understand and better collaborate with your own manager, and be ready when you need to lead a team or understand how it is to work with other humans.

Attending Harvard College gave me the opportunity to collaborate with great programmers in creating the early ARPA-net. But the best course I took was on compiler theory and construction, using an early draft of the material in this book.

Of course I learned how to build a compiler, which I did as my first job after graduating. But more important, I learned that a well-built compiler is a small amount of language-independent code with two major parts.

First the input part that realizes the content of the lexical and grammatical metadata, like today’s LEX and YACC, to turn the program being compiled into a semantic model.

Second the code generator that reads the semantic model and, based on generative model metadata, turns the semantics of the program being compiled to whatever form you want, whether executable code, assembler language, byte code or whatever.

This approach, while indispensable for compilers and… show more.