# Think Complexity: Exploring Complexity Science with Python

- By: Allen B. Downey
- Publisher: Olin College
- Source: [LibreTexts](https://eng.libretexts.org/Bookshelves/Computer_Science/Applied_Programming/Think_Complexity%3A_Exploring_Complexity_Science_with_Python_(Downey))
- Licence: [CC BY-NC-SA 3.0](https://creativecommons.org/licenses/by-nc-sa/3.0/)
- Read at LibreTexts: https://eng.libretexts.org/Bookshelves/Computer_Science/Applied_Programming/Think_Complexity%3A_Exploring_Complexity_Science_with_Python_(Downey)
- PDF: https://downloads.libretexts.org/api/v1/download/eng-46560/pdf

Complex systems include networks and graphs, cellular automatons, agent-based models and swarms, fractals and self-organizing systems, chaotic systems and cybernetic systems. This book is primarily about complexity science, but studying complexity science gives you a chance to explore topics and ideas you might not encounter otherwise, practice programming in Python, and learn about data structures and algorithms.