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Book
Think Complexity: Complexity Science and Computational Modeling
(2012)
  • Allen B. Downey
Abstract

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.

Disciplines
Publication Date
2012
Publisher
O'Reilly Media
ISBN
978-1449314637
Publisher Statement
© 2012 Allen Downey.
Citation Information
Allen B. Downey. Think Complexity: Complexity Science and Computational Modeling. (2012)
Available at: http://works.bepress.com/allen_downey/11/