Think Complexity: Complexity Science and Computational Modeling 2nd Edition by Allen Downey (PDF)

Description

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 TransformStudy abstract models of complex physical systems, including power laws, fractals and pink noise, and Turing machinesGet 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 automataExplore the philosophy of science, including the nature of scientific laws, theory choice, and realism and instrumentalismIdeal 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.

User’s Reviews

Reviews from Amazon users which were colected at the time this book was published on the website:

⭐I have never met the author who is merely 20 miles awayI own all of his book publications. And I buy the copies.I have his 2012 edition Think Complexity10 chapters of very nicely structured thought. Added to thatare 4 chapters of Case Studies from 10 different authors.The author also has the Green Tea Press website to displayfurther topics (working in progress). The second edition of Complexity waswell on its way at that site. Once the new addition was published I becametempted. And finally ordered. Was I surprised. Many of the interestingitems seem to vanish and the latest edition needs internet connectionto be functional. For those of us who grew-up in the mid west (and returnoccasionally) are well aware of the value of books (which are complete).In summary, just buy the first edition (out of print).

⭐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.

⭐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.

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