Think Complexity: Complexity Science and Computational Modeling

Downey Allen, B.:

ISBN 10: 1449314635 / ISBN 13: 9781449314637

Published by O'Reilly UK Ltd., 2012

About this Item

142 Seiten; 9781449314637.3 Gewicht in Gramm: 500.

Seller Inventory # 904360

Bibliographic Details

• Title: Think Complexity: Complexity Science and Computational Modeling
• Publisher: O'Reilly UK Ltd.
• Publication Date: 2012
• Language: English
• ISBN 10: 1449314635
• ISBN 13: 9781449314637
• Binding: paperback
• Condition: Gut
• Seller catalogs:
  • Varia

About this title

Synopsis

Expand your Python skills by working with data structures and algorithms in a refreshing context―through an eye-opening exploration of complexity science. 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 exercises, case studies, and easy-to-understand explanations.

You’ll work with graphs, algorithm analysis, scale-free networks, and cellular automata, using advanced features that make Python such a powerful language. Ideal as a text for courses on Python programming and algorithms, Think Complexity will also help self-learners gain valuable experience with topics and ideas they might not encounter otherwise.

• Work with NumPy arrays and SciPy methods, basic signal processing and Fast Fourier Transform, and hash tables
• Study abstract models of complex physical systems, including power laws, fractals and pink noise, and Turing machines
• Get starter code and solutions to help you re-implement and extend original experiments in complexity
• Explore the philosophy of science, including the nature of scientific laws, theory choice, realism and instrumentalism, and other topics
• Examine case studies of complex systems submitted by students and readers

About the Author

Allen Downey is a Professor of Computer Science at the Olin College of Engineering and a former Visiting Scientist at Google, Inc. 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.