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Think Complexity 2e

Think Complexity is about data structures and algorithms, intermediate programming in Python, computational modeling and the philosophy of science.

After reading the material, you’ll use graphs, cellular automata, and agent-based models to study topics in physics, biology, and economics.

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.

Topics covered include:

Graphs including random and connected graphs.
Analysis of algorithms – the branch of computer science that considers the performance of algorithms.
Small world graphs.
Scale-free networks: Zipf’s law, cumulative, continuous and Pareto distributions.
Cellular automata.
Game of Life.
Self-organized criticality.
Case studies.”

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