PyMC is the most widely-used Python package for Bayesian modelling, learning and inference. But there are loads of other tools out there that may be better fitted to your particular task. I’ve added two of them to Snake Charmer so you can try them for yourself.
READ MORETag: snake charmer
Wouldn’t it be great if you could magic up an IPython Notebook server, complete with SciPy, Pandas, Matplotlib, PyMC, scikit-learn, R and Octave integration, and much much more, just by typing one command? And wouldn’t it be even better if you could do that from pretty much any Windows, Mac or Linux machine, and know that you’d get the exact same environment every time? That’s Snake Charmer — a virtual data workbench that’s reproducible, portable, shareable and up-to-date.
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