The Nature of Code

The Nature of Code by Daniel Shiffman, published by D. Shiffman in 2012, is a comprehensive exploration of how to model the unpredictable properties of nature through software. This edition spans 498 pages and is presented in English. The book delves into various programming strategies and techniques for creating computer simulations of natural systems, covering topics from basic mathematics and physics to advanced algorithms that yield sophisticated visual outcomes.
Readers will find a structured approach to building a physics engine and developing intelligent moving objects, alongside complex systems that lay the groundwork for generative design experiments. The content includes discussions on forces, trigonometry, fractals, cellular automata, self-organization, and genetic algorithms. Examples are provided in Processing, an open-source language built on Java, with additional resources available on the book’s website for interactive learning.
Official synopsis Publisher
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. On the book’s website (http: //www.natureofcode.com), the examples run in the browser via Processing’s JavaScript mode.
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