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Think Complexity: Complexity Science and Computational Modeling

Allen B. Downey




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 | #358370 in Books |  O'Reilly Media |  2012-03-12 |  2012-03-12 | Original language:English | PDF # 1 |  9.19 x.37 x7.00l,.60 | File type: PDF | 160 pages

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||3 of 3 people found the following review helpful.| Enjoyable Read|By michaelDubs|It is a small compact book that gently introduces complexity sciences. I have picked through this book over the last year and rather enjoy its intermittent injection of topics like epistemology, AI, information theory and CS. The book should not be considered an academic piece, but more of a technical-leisure read that raises interesting questions|About the Author|
Allen Downey is a Professor of Computer Science at the Olin College of Engineering and a former Visiting Scientist at Google, Inc. He has taught computer science at Wellesley College, Colby College and U.C. Berkeley. He has a Ph.D. in Compu

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 exercises, case studies, and easy-to-understand explanations.

You’ll work with graphs, algorithm analysis, scale-free net...

You easily download any file type for your gadget.Think Complexity: Complexity Science and Computational Modeling   |  Allen B. Downey. I really enjoyed this book and have already told so many people about it!

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