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
##書雖然薄，把相關資料都看下來也是不少的時間
評分##啥都帶一點，啥都不難。這種科普我最喜歡瞭。
評分##啥都帶一點，啥都不難。這種科普我最喜歡瞭。
評分##啥都帶一點，啥都不難。這種科普我最喜歡瞭。
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##一本可以作為係統論、還原論等認知哲學的導讀讀物，看似薄薄的一本，拿到手還說定價這麼高虧瞭，結果一讀纔知裏麵彆有洞天。本書本身就是一個復雜性科學模型的範本——避免跨域細節，隻講所涉及問題域的知識點，乾淨利落。作者以python為基礎，演示瞭多種復雜係統的模型，...
評分 評分 評分相關圖書
本站所有內容均為互聯網搜尋引擎提供的公開搜索信息，本站不存儲任何數據與內容，任何內容與數據均與本站無關，如有需要請聯繫相關搜索引擎包括但不限於百度，google,bing,sogou 等
© 2025 book.coffeedeals.club All Rights Reserved. 靜流書站 版權所有