具體描述
Allen B. Downey擁有加州大學伯剋利分校的計算機科學博土學位和MIT的碩士與學土學位，現任美國歐林工程學院計算機科學係的教授，曾經在威爾斯利大學、科爾比學院和加州大學伯剋利分校教授計算機科學相關的課程。曾經擔任 Google的訪問科學傢，對復雜性科學和Python十分著迷，有較為深入的研究和豐富的實踐經驗。
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
##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。
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。
評分##作者在前言中交待得非常清楚瞭，這其實是他在歐林學院講授算法和數據結構這門課程的講義。如果讓我給這本講義提煉個摘要關鍵詞的話，我覺得可能是：圖，網絡，演化，模擬，復雜性。畢竟是從傳統的算法課程脫胎而來，圖幾乎是講義中唯一還和傳統算法沾邊的地方（還略涉及到一點...
評分 評分##:無
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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