Think Complexity ― Complexity Science and Computational Modeling
- ISBN13：9781492040200
- 出版社：Oreilly & Associates Inc
- 作者：Allen Downey
- 裝訂／頁數：平裝／230頁
- 規格：23.3cm*17.8cm (高/寬)
- 版次：2
- 出版日：2018/08/25
商品簡介
Expand your Python skills by working with data structures and algorithms in a refreshing context—through an eye-opening exploration of complexity science. Whether you’re an intermediate-level Python programmer or a student of computational modeling, you’ll delve into examples of complex systems through a series of worked examples, exercises, case studies, and easy-to-understand explanations.
In this updated second edition, you’ll work with graphs, algorithm analysis, scale-free networks, and cellular automata, using advanced features that make Python such a powerful language. Ideal as a text for courses on Python programming and algorithms, Think Complexity will also help self-learners gain valuable experience with topics and ideas they might not encounter otherwise.
For every chapter, there are two Jupyter notebooks in the book’s software repository: one contains the code from the chapter, explanatory text, and exercises; the other contains the solutions to the exercises.
作者簡介
Allen Downey is a professor of Computer Science at Olin College and the author of a series of free, open-source textbooks related to software and data science, including Think Python, Think Bayes, and Think Complexity, published by O’Reilly Media. His blog, Probably Overthinking It, features articles on Bayesian probability and statistics. He holds a Ph.D. in computer science from U.C. Berkeley, and M.S. and B.S. degrees from MIT. He lives near Boston, MA with his wife and two daughters.
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