Think Complexity: Complexity Science and Computational Modeling, 2nd Edition
- Length: 200 pages
- Edition: 2
- Language: English
- Publisher: O'Reilly Media
- Publication Date: 2018-08-06
- ISBN-10: 1492040207
- ISBN-13: 9781492040200
- Sales Rank: #384960 (See Top 100 Books)
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 worked examples, exercises, case studies, and easy-to-understand explanations.
In this updated second edition, 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.
For every chapter, there are two Jupyter notebooks in the book’s software repository: one contains the code from the chapter, explanatory text, and exercises; the other contains the solutions to the exercises.
Table of Contents
Chapter 1. Complexity Science
Chapter 2. Graphs
Chapter 3. Small World Graphs
Chapter 4. Scale-Free Networks
Chapter 5. Cellular Automatons
Chapter 6. Game Of Life
Chapter 7. Physical Modeling
Chapter 8. Self-Organized Criticality
Chapter 9. Agent-Based Models
Chapter 10. Herds, Flocks, And Traffic Jams
Chapter 11. Evolution
Chapter 12. Evolution Of Cooperation
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