具體描述
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.
用戶評價
##processing入門=橙+粉+藍
評分看完一周目纔覺得processing總算是入瞭門 世界觀的維度也延展瞭
評分##Daniel Shiffman 是世界上最有意思最可愛的編程老師！
評分##YouTube上最有活力的老師！
評分##processing入門=橙+粉+藍
評分##Processing 看這個就夠瞭，免費的。如果運動學都記得，直接看代碼就行。 56789 章開始比較有意思。
評分##Shiffman! Shiffman!
評分##這真的不是一本高中物理書嗎？
評分##YouTube上最有活力的老師！
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