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
##結閤高中物理的編程教學
評分##對學Processing的人很有用的一本書，英文也都用的比較通俗易懂的簡單的句子，但畢竟不是母語看著有些慢，發現有中文版本的就轉戰中文版瞭。
評分##結閤高中物理的編程教學
評分##Introduction to Processing & nature systems. http://natureofcode.com/book/introduction/
評分##對學Processing的人很有用的一本書，英文也都用的比較通俗易懂的簡單的句子，但畢竟不是母語看著有些慢，發現有中文版本的就轉戰中文版瞭。
評分##然後還是覺得程序藝術隻在很窄的範圍內纔“藝術”
評分##Introduction to Processing & nature systems. http://natureofcode.com/book/introduction/
評分##強大但還沒吃透的一本書
評分##Daniel Shiffman 是世界上最有意思最可愛的編程老師！
