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Think Complexity: Complexity Science and Computational Modeling
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  • Title Think Complexity: Complexity Science and Computational Modeling
  • Author(s) Allen Downey
  • Publisher: O'Reilly Media (March 14, 2012)
  • License(s): CC BY-NC 4.0
  • Paperback 154 pages
  • eBook Online, 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 Downey is an Associate Professor of Computer Science at the Olin College of Engineering. 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 Masterís and Bachelorís degrees from MIT.
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