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  • Think Complexity: Complexity Science and Computational Modeling

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Think Complexity: Complexity Science and Computational Modeling 2nd Edition

4.7 out of 5 stars (24)

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Complexity science uses computation to explore the physical and social sciences. In Think Complexity, you'll use graphs, cellular automata, and agent-based models to study topics in physics, biology, and economics.

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 will:

  • Work with NumPy arrays and SciPy methods, including basic signal processing and Fast Fourier Transform
  • Study abstract models of complex physical systems, including power laws, fractals and pink noise, and Turing machines
  • Get Jupyter notebooks filled with starter code and solutions to help you re-implement and extend original experiments in complexity; and models of computation like Turmites, Turing machines, and cellular automata
  • Explore the philosophy of science, including the nature of scientific laws, theory choice, and realism and instrumentalism

    Ideal as a text for a course on computational modeling in Python, Think Complexity also helps self-learners gain valuable experience with topics and ideas they might not encounter otherwise.

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Editorial Reviews

About the Author

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.

Product details

  • Publisher ‏ : ‎ O'Reilly Media
  • Publication date ‏ : ‎ August 28, 2018
  • Edition ‏ : ‎ 2nd
  • Language ‏ : ‎ English
  • Print length ‏ : ‎ 198 pages
  • ISBN-10 ‏ : ‎ 1492040207
  • ISBN-13 ‏ : ‎ 978-1492040200
  • Item Weight ‏ : ‎ 13.1 ounces
  • Dimensions ‏ : ‎ 7 x 0.4 x 9.1 inches
  • Best Sellers Rank: #461,167 in Books (See Top 100 in Books)
  • Customer Reviews:
    4.7 out of 5 stars (24)

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Customer reviews

4.7 out of 5 stars
24 global ratings
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Top reviews from the United States

  • Reviewed in the United States on December 1, 2019
    Format: PaperbackVerified Purchase
    I really liked how in just over a hundred pages Allen Downey taught so much about using complexity science to model different types of problems. I have read it twice cover to cover, and am now going through example by example in Jupyter examples to better understand how the models work.

    Unlike some of his other works, it doesn't rely as much on custom python packages. I also like his discussions about how science works.

    The previous edition is available for free from his website, Green Tea Press, but the current edition is definitely worth it.
    8 people found this helpful
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  • Reviewed in the United States on January 12, 2019
    Format: eTextbookVerified Purchase
    Five star rating is for the content. Downey explains complicated topics well, and the approach of explaining math using programming is sound. Everyone learns differently so the more approaches for learning complicated math topics, the better. For my part, breaking apart math programatically works better than the way I was taught decades ago.

    I emailed the author and asked his opinion of what order to read the Think series. He says any of them after the basic Python book would work well. The complexity book seems easier than Think Bayes, harder than Think Stats.
    18 people found this helpful
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  • Reviewed in the United States on January 9, 2020
    Format: PaperbackVerified Purchase
    I have never met the author who is merely 20 miles away
    I own all of his book publications. And I buy the copies.
    I have his 2012 edition Think Complexity
    10 chapters of very nicely structured thought. Added to that
    are 4 chapters of Case Studies from 10 different authors.
    The author also has the Green Tea Press website to display
    further topics (working in progress). The second edition of Complexity was
    well on its way at that site. Once the new addition was published I became
    tempted. And finally ordered. Was I surprised. Many of the interesting
    items seem to vanish and the latest edition needs internet connection
    to be functional. For those of us who grew-up in the mid west (and return
    occasionally) are well aware of the value of books (which are complete).
    In summary, just buy the first edition (out of print).
    9 people found this helpful
    Report