Complex Systems
Think Complexity
Complexity science is an interdisciplinary field — at the intersection of mathematics, computer science and natural science — that focuses on complex systems, which are systems with many interacting components. One of the core tools of complexity science is discrete models, including networks and graphs, cellular automatons, and agent-based simulations. These tools are useful in the natural and social sciences, and sometimes in arts and humanities.
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PyCX
The PyCX project aims to develop an online repository of simple, crude, yet easy-to-understand Python sample codes for dynamic complex systems modeling and simulation, including iterative maps, ordinary and partial differential equations, cellular automata, network analysis, dynamical networks, and agent-based models. You can run, read and modify any of its codes to learn the basics of complex systems modeling and simulation in Python.
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