Think Complexity - Complexity Science and Computational Modeling

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 and case studies.

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

• Authors: Allen Downey, Allen B. Downey, Downey Allen B.
• Publisher: O'Reilly
• Languages: English
• Product format: Paperback / Softback
• Released: 31.07.2018
• EAN: 9781492040200
• ISBN: 978-1-4920-4020-0
• Dimensions: 182 mm x 233 mm x 9 mm
• Weight: 290 g
• Subjects: Natural sciences, medicine, IT, technology > IT, data processing > IT; MATHEMATICS / Probability & Statistics / General, Programming & scripting languages: general, COMPUTERS / Data Science / Data Modeling & Design, Web programming, Programming and scripting languages: general, COMPUTERS / Languages / Python