Think Complexity

Think Complexity, Free Ebook Download

Book Detail 

Paperback: 160 pages

Publisher: O'Reilly Media; 1 edition (March 9, 2012)

Language: English

ISBN-10: 1449314635

ISBN-13: 978-1449314637

File Size : 9.5 Mb | File Format : PDF + Epub

Book Description 

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.

Brief of Contents 

Chapter 01 Complexity Science
Chapter 02 Graphs
Chapter 03 Analysis of Algorithms
Chapter 04 Small World Graphs
Chapter 05 Scale-Free Networks
Chapter 06 Cellular Automata
Chapter 07 Game of Life
Chapter 08 Fractals
Chapter 09 Self-Organized Criticality
Chapter 10 Agent-Based Models
Chapter 11 Case Study: Sugarscape
Chapter 12 Case Study: Ant Trails
Chapter 13 Case Study: Directed Graphs and Knots
Chapter 14 Case Study: The Volunteer’s Dilemma
Appendix Call for Submissions

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