具体描述
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.
用户评价
##YouTube上最有活力的老师！
评分##强大但还没吃透的一本书
评分##这真的不是一本高中物理书吗？
评分##这本都有lol，当年调研berlin noise和gaussian distribution时问别人要的coding书，简明易懂，我这种数学渣都看得懂（虽然是很简单的代码lol
评分##这本都有lol，当年调研berlin noise和gaussian distribution时问别人要的coding书，简明易懂，我这种数学渣都看得懂（虽然是很简单的代码lol
评分##YouTube上最有活力的老师！
评分##感觉把状态机加进去就更好了
评分##然后还是觉得程序艺术只在很窄的范围内才“艺术”
评分##Daniel Shiffman 是世界上最有意思最可爱的编程老师！
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