Model, simulate, and visualize discrete nonlinear dynamical systems
Project description
pynamical is a Python package for modeling, simulating, visualizing, and animating discrete nonlinear dynamical systems and chaos. pynamical uses pandas, numpy, and numba for fast simulation, and matplotlib for beautiful visualizations and animations to explore system behavior. Compatible with Python 2 and 3. See the examples and demos on GitHub.
You can read/cite the journal article about pynamical: 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.
Release history Release notifications
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
| Filename, size | File type | Python version | Upload date | Hashes |
|---|---|---|---|---|
| Filename, size pynamical-0.2.1-py2.py3-none-any.whl (10.3 kB) | File type Wheel | Python version py2.py3 | Upload date | Hashes View hashes |
| Filename, size pynamical-0.2.1.tar.gz (11.3 kB) | File type Source | Python version None | Upload date | Hashes View hashes |
Hashes for pynamical-0.2.1-py2.py3-none-any.whl
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | d92a141ed6af34a8479471af324fdf61769ff93d70e7c0759a2f542503496cd4 |
|
| MD5 | 6128930cee9ee7b0e23aaa86221d8a8a |
|
| BLAKE2-256 | 5ae872a711636ba827beff5bd848feda746db2959d0f861ec92fd93772935b96 |
