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Think Complexity: Complexity Science and Computational Modeling, 2nd Edition
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  • Title: Think Complexity: Complexity Science and Computational Modeling, 2nd Edition
  • Author(s) Allen B. Downey
  • Publisher: O'Reilly Media; 1 edition (2012); 2 edition (2018); eBook (2018, Creative Commons Licensed)
  • License(s): CC BY-NC 4.0
  • Paperback: 228 pages (est.)
  • eBook: HTML and PDF
  • Language: English
  • ISBN-10: 1449314635
  • ISBN-13: 978-1449314637
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Book Description

This book is about complexity science, data structures and algorithms, intermediate programming in Python, and the philosophy of science.

This book presents features that make Python such a simple and powerful language. The author provides code to help you get started, along with a solution for each exercise. With this book, you will:

  • Work with graphs and graph algorithms, NumPy arrays and SciPy methods, basic signal processing and Fast Fourier Transform, and hash tables.
  • Discover complexity science, the field that studies abstract models of complex physical systems, including power laws, fractals and pink noise, and Turing machines.
  • Explore the philosophy of science through the models and results in this book about the nature of scientific laws, theory choice, and realism and instrumentalism, and more.
About the Authors
  • Allen B. Downey is an American computer scientist, Professor of Computer Science at the Franklin W. Olin College of Engineering and writer of free textbooks. He has taught computer science at Wellesley College, Colby College and U.C. Berkeley. He has a Ph.D. in Computer Science from U.C. Berkeley and Master's and Bachelor's degrees from MIT.
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