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The Nature of Code, by Daniel Shiffman
PDF Download The Nature of Code, by Daniel Shiffman
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How can we capture the unpredictable evolutionary and emergent properties of nature in software?
How can understanding the mathematical principles behind our physical world help us to create digital worlds?
This book focuses on a range of programming strategies and techniques behind computer simulations of natural systems, from elementary concepts in mathematics and physics to more advanced algorithms that enable sophisticated visual results. Readers will progress from building a basic physics engine to creating intelligent moving objects and complex systems, setting the foundation for further experiments in generative design.
Subjects covered include forces, trigonometry, fractals, cellular automata, self-organization, and genetic algorithms.
The book's examples are written in Processing, an open-source language and development environment built on top of the Java programming language.
- Sales Rank: #119122 in eBooks
- Published on: 2013-03-04
- Released on: 2013-03-04
- Format: Kindle eBook
Most helpful customer reviews
68 of 69 people found the following review helpful.
I have never seen a computer book like this before
By Farty Baby
So many programming books are dry as the paper they are printed on. Most courses in programming are equally dry. With this book the dry spell is over. Each chapter covers an interesting subject quickly and well. Yet the subjects covered are shockingly advanced. Genetic algorithms, neural networks, etc. Wow. These are topics that are usually each covered by at least one book for each topic. The mathematical explanations are the some of the simplest I have seen, ever.
I have been programming for over 20 years and thus have read so many computer books that were serious chores to read so, again, I can't quite express just how different this book is. It is like the book was written and the all the confusing bits were boiled away leaving this final product. I am truely at a loss for how to describe the virtues of this book without sounding like a marketing sound bite so I will say what it isn't. It isn't pedantic, academic, confusing, or contorted. The examples in the book are interesting or maybe even better described as cool. Often in CS books the examples are often uninteresting and thus unmemorable.
This book reminds me of a the opening of a great book on calculus called Calculus Made Easy by Silvanus P. Thompson where he basically says that most mathematicians write their texts to impress and show off how very clever they are but that he thought any fool could learn calulus so he removed the pedantry and made a great book.
38 of 39 people found the following review helpful.
Vectors, and Physics, and Genetic Algorithms ... oh my
By Amazon Customer
I took the Nature of Code class as a master candidate at NYU ITP back in the Spring of 2012 with Dan Shiffman. Went through pretty much all of the material in this book as it iteratively evolved. This final product is amazing. I would highly recommend this book to anyone interested in motion/physics/programmable art/games/etc. Dan is a great teacher, and this book is definitively reflective of his ability to communicate the concepts behind the Processing language in a simple and intuitive manner ... with a good bit of personality mixed in as well. There are wonderful illustrations and tons of supplementary materials online to make this book even better. It is also pink ... and that is awesome. Overall, you really can't go wrong with this book and it should be on the bookshelf of artists/designers/and coders of all kinds!
16 of 16 people found the following review helpful.
Excellent and accessible text on real-world simulation.
By pchurch
The Nature of Code addresses coding nature simulations in the Processing language. It covers real-world physics, using physics libraries (such as JBox2D), cellular automata, flocking and following behavior, and neural networking. While some of these subjects are daunting, Shiffman writes clearly, explains fundamental concepts, and leads the reader through each subject with code snippets and complete sketches. There are also specific chapter challenges and an overall, book-long coding challenge for the reader. This is not a beginner's book (see "Learning Processing" for that), but a book that coders with some experience in Processing can use with ease and profit.
Processing is not the ideal platform for game programming, but the first four chapters of this book present a solid physics background useful in any programming language, while the chapter on Physics libraries explains how to use physics engines, such as JBox2D, that were used in creation of famous apps like "Angry Birds". It would be of great use to aspiring games coders. The cellular automata and animal behavior chapters likewise would be of great use to coders working in robotics.
This book would be a perfect text for a high-school level physics class, as students could quickly learn and apply principles of gravitational attraction, force application, and Newtonian physics to their own computer simulations. The processing language used is available at no cost, and the book's accompanying code examples are well documented and useful. Not all the exercises set for the reader are solved, but enough examples are provided to encourage the reader to explore further.
Each of the seven Processing books I own (disclosure: I have only purchased the early PDF version of "The Nature of Code" ) have a different perspective and, ultimately, target a different audience. The Nature of Code, with its focus on real world physics, provides a solid base for both novice and more experienced coders. It's well written, useful, and a valuable addition to the growing body of Processing references.
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