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
本书的开源地址是：http://dou.bz/0ukGJy 这种书，图论写得不够清晰，复杂性部分最重要的进展没谈到，Python代码写得不够实用，该调用第三方库没调用。但，一个作者敢在一本小书里面将复杂性、网络分析、Python三个主题一块写，并开源，值得给个4分。属于复杂性研究入门参考好书。
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##读了第一/二章，感觉还不错！
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##version2 py代码很详实，especially for usage of matplotlib and numpy.
评分##泛读
评分##啥都带一点，啥都不难。这种科普我最喜欢了。
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##version2 py代码很详实，especially for usage of matplotlib and numpy.
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