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# Think Complexity: Complexity Science and Computational Modeling

by
Allen B. Downey (Goodreads Author)

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 explanation
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Paperback, 160 pages

Published
March 9th 2012
by O'Reilly Media
(first published January 1st 2012)

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The only negative point about this book is that it tires to explain to someone who almost knows nothing about algorithms and data structures, so it spends some time explaining some basics like graph, and then moves to s ...more

Complexity science is an area that is easy to hype. I admit to being highly skeptical when a st ...more

What I liked, however, is the way Allen presents the material. He tries to show you different aspects of the development p ...more

It is quite interesting to see complex algorithm explained using Python.

Allen started explaining what is Complex system with the example of how can you explain 'why planets are elliptical'. Interestingly he explained how people choose hard way with differential equation and another si ...more

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