具體描述
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.
用戶評價
##version2 py代碼很詳實，especially for usage of matplotlib and numpy.
評分##version2 py代碼很詳實，especially for usage of matplotlib and numpy.
評分##如果不是python就好瞭，很薄也很快餐
評分##應該早看之。
評分本書的開源地址是：http://dou.bz/0ukGJy 這種書，圖論寫得不夠清晰，復雜性部分最重要的進展沒談到，Python代碼寫得不夠實用，該調用第三方庫沒調用。但，一個作者敢在一本小書裏麵將復雜性、網絡分析、Python三個主題一塊寫，並開源，值得給個4分。屬於復雜性研究入門參考好書。
評分##如果不是python就好瞭，很薄也很快餐
評分##爹，我的畢業大爹。迴歸正經書很好既可以當科普圖一樂也可以提高計算機編程水平，力薦
評分##應該早看之。
評分##行文好清晰，還可以再看。我將所有有關復雜係統的東西放在“金融”這一列下，不知道自己何時纔能獲得那犀利的判斷力和明亮的慧眼。
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