具体描述
Allen B. Downey拥有加州大学伯克利分校的计算机科学博土学位和MIT的硕士与学土学位，现任美国欧林工程学院计算机科学系的教授，曾经在威尔斯利大学、科尔比学院和加州大学伯克利分校教授计算机科学相关的课程。曾经担任 Google的访问科学家，对复杂性科学和Python十分着迷，有较为深入的研究和丰富的实践经验。
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
##应该早看之。
评分##泛读 Think Complexity – Complexity Science and Computational Modeling Posted by Mike under Books Think Complexity by Allen Downey is written for someone in an intermediate college level class. It has examples of Python code and talks about algorithms a lot. ...
评分 评分本书的开源地址是：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##啥都带一点，啥都不难。这种科普我最喜欢了。
评分 评分 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##应该早看之。
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