pynamical 0.3.1

pynamical is a Python package for modeling, simulating, visualizing, and animating discrete nonlinear dynamical systems and chaos. It uses pandas, numpy, and numba for fast simulation, and matplotlib for beautiful visualizations and animations to explore system behavior.

Citation information: Boeing, G. 2016. “Visual Analysis of Nonlinear Dynamical Systems: Chaos, Fractals, Self-Similarity and the Limits of Prediction.” Systems, 4 (4), 37. doi:10.3390/systems4040037.

Installation

You can install pynamical with conda:

conda config --prepend channels conda-forge
conda create -n pynamical --strict-channel-priority jupyterlab pynamical

Alternatively, you can run pynamical + Jupyter directly from its Docker container, or you can install it with pip.

Examples

For examples and demos, see the GitHub repo: https://github.com/gboeing/pynamical

License

The project is licensed under the MIT license.

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