具体描述
Dive into Python's advanced possibilities, including algorithm analysis, graphs, scale-free networks, and cellular automata with this in-depth, hands-on guide. Whether you're an intermediate-level Python programmer, or a student of computational modeling, you'll examine data structures, complexity science, and other fascinating topics through a series of exercises, easy-to-understand explanations, and case studies. Think Complexity presents features that make Python such a simple and powerful language. Author Allen Downey provides code to help you get started, along with a solution for each exercise. With this book, you will: Work with graphs and graph algorithms, NumPy arrays and SciPy methods, basic signal processing and Fast Fourier Transform, and hash tables. Discover complexity science, the field that studies abstract models of complex physical systems, including power laws, fractals and pink noise, and Turing machines. Explore the philosophy of science through the models and results in this book about the nature of scientific laws, theory choice, and realism and instrumentalism, and more.
用户评价
##如果不是python就好了，很薄也很快餐
评分##读了第一/二章，感觉还不错！
评分##应该早看之。
评分##行文好清晰，还可以再看。我将所有有关复杂系统的东西放在“金融”这一列下，不知道自己何时才能获得那犀利的判断力和明亮的慧眼。
评分##泛读
评分##泛读
评分##:无
评分##行文好清晰，还可以再看。我将所有有关复杂系统的东西放在“金融”这一列下，不知道自己何时才能获得那犀利的判断力和明亮的慧眼。
评分##爹，我的毕业大爹。回归正经书很好既可以当科普图一乐也可以提高计算机编程水平，力荐
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