Think Complexity: Complexity Science and Computational Modeling (Paperback)
  • Think Complexity: Complexity Science and Computational Modeling (Paperback)
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Think Complexity: Complexity Science and Computational Modeling (Paperback)

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£31.99
Paperback 158 Pages / Published: 23/03/2012
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Dive into Python's advanced possibilities, including algorithm analysis, graphs, scale-free networks, and cellular automata with this in-depth, hands-on guide. Whether you're an intermediate-level Python programmer, or a student of computational modeling, you'll examine data structures, complexity science, and other fascinating topics through a series of exercises, easy-to-understand explanations, and case studies. Think Complexity presents features that make Python such a simple and powerful language. Author Allen Downey 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.

Publisher: O'Reilly Media, Inc, USA
ISBN: 9781449314637
Number of pages: 158
Weight: 272 g
Dimensions: 233 x 178 x 9 mm

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“Challenging but rewarding”

This one is not an easy one. Allen guides you through the various, complex, algorithms and data structures. This book is not for a beginners – you have to know Python already to solve exercises presented by author.... More

Paperback edition
3rd April 2012
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