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The Nature of Code: Simulating Natural Systems with Processing, by Daniel Shiffman
Free Ebook The Nature of Code: Simulating Natural Systems with Processing, by Daniel Shiffman
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About the Author
Daniel Shiffman is an Assistant Arts Professor in the Interactive Telecommunications Program (ITP) at NYU's Tisch School of the Arts. Originally from Baltimore, Daniel received a bachelor of arts in mathematics and philosophy from Yale University and his master's degree from ITP. He develops tutorials, examples, and libraries for Processing, the open-source programming language and environment created by Casey Reas and Ben Fry. He is also the author of Learning Processing: A Beginner's Guide to Programming Images, Animation, and Interaction (2008).
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Product details
Paperback: 520 pages
Publisher: The Nature of Code; 1 edition (December 13, 2012)
Language: English
ISBN-10: 0985930802
ISBN-13: 978-0985930806
Product Dimensions:
7.5 x 1.2 x 9.2 inches
Shipping Weight: 2.4 pounds (View shipping rates and policies)
Average Customer Review:
4.7 out of 5 stars
66 customer reviews
Amazon Best Sellers Rank:
#94,292 in Books (See Top 100 in Books)
The Nature of Code teaches how to simulate natural systems using the Processing program language. Processing is a programming language has built in functionality for simulating natural events, and the language is similar to Java.Beginning chapters are focused on physics and calculus. There were some of the best explanations I have ever seen for showing the concepts and how formulas work. I was thinking how much better it would have been if I had learned calculus from a book like this. There are excellent details how forces, vectors, and angles work. Working examples are implemented in using Processing.The middle of the book tells you which libraries are useful. The author takes the time to explain which parts you want to implement your self and when you should rely on a given library.Later parts of the book go into more advanced natural systems such as simulating biological events. Some genetic algorithms are presented, and lastly the building blocks of neural networks are examined. Descriptions are geared towards beginners and the walk through is quite detailed.This book works whether you want to learn programming or simulate natural events. Examples are shown from a beginner's perspective in a way that leads the reader to clearer understanding.
This is a gentle introduction to the Processing language geared mostly towards beginners/artists who wish to explore writing Processing sketches to simulate the natural world. If you are an experienced programmer in a Java or C++ like programming language you will breeze through it very quickly. However, unlike most other programming books geared towards the beginner this one introduces the reader to more advanced topics like vector math, physics, rudimentary AI, and particle systems in a very accessible way while also introducing more and more features of the language itself. Each chapter builds on the one before it. Obviously, it's not going to be a really deep dive into any of these topics but I feel that Mr. Shiffman overwhelmingly succeeded in presenting the fundamentals of several advanced topics in a very accessible way.
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!
I teach high school physics, and have always tried to incorporate a bit of programming into class - solving physics problems and writing code are similar ways of thinking. I came to Processing via the Arduino board while doing "physical computing" with my AP students. Students with no programming experience found Arduino and Processing more accessible than previous classes had found BASIC or VPython, and students with a bit of computing background like Processing's similarity to Java, so it's a language I think I'll stay with for a while for a beginners' class.The book is exactly the sort of thing I was looking for; a framework for coding simple simulations in physics, so that students could see the power of physics as the "engine" behind how things move. They aren't flashy or 3d, but that keeps them simple enough for beginners to grasp, and keeps the focus on the basic principles. Shiffman's writing is clear and to the point, and he goes beyond the traditional physics topics to incorporate cellular automata and neural networks to keep things interesting. I only use a few of the examples with my students, as the book is easily long enough to be a text for a whole course. All physics teacher with an interest in coding should have this on their shelves, where the students can and see leaf through it. Very well done.
I've been using Shiffman's "Learning Processing" book at the text for an intro programming course...a course aimed at computer science and software engineering majors, with a goal of learning Java. Processing has proven to be an enticing way to introduce and gradually make the transition into Java. "Learning Processing" has proven to be a great way to teach it.Now, Shiffman's "The Nature of Code" takes the material to the next level, with intelligent and well-organized coverage of in-depth topics such as vectors, fractals, and cellular automata. I would not recommend beginning programming with this book (though it could be done by a dedicated learner). Rather, I think it helps to be familiar with programming in Processing, and to at least feel comfortable around mathematics. Don't get me wrong...you don't have to be a math whiz to appreciate this book, but Shiffman does not shy away from presenting the necessary mathematics to really help the reader "get" the programming concepts. This could easily become the text for a follow-up to the course I've been teaching.One additional note: it's worth finding Shiffman's website for this book, so that you get a better appreciation for how he went about publishing it and releasing it. He deserves a lot of credit for approaching it the way he did.If someone asks me for a Processing book recommendation, I have typically recommend Shiffman's "Learning Processing". Now, I have a pair of books to recommend...his Processing books are easily my favorite!
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