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Think Complexity: Complexity Science and Computational Modeling

Think Complexity: Complexity Science and Computational Modeling

          
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About the Book

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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Product Details
  • ISBN-13: 9781492040200
  • Publisher: O'Reilly Media
  • Publisher Imprint: O'Reilly Media
  • Height: 231 mm
  • No of Pages: 198
  • Spine Width: 10 mm
  • Weight: 376 gr
  • ISBN-10: 1492040207
  • Publisher Date: 14 Aug 2018
  • Binding: Paperback
  • Language: English
  • Returnable: Y
  • Sub Title: Complexity Science and Computational Modeling
  • Width: 178 mm


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