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Also https://news.ycombinator.com/item?id=6351681 and https://news.ycombinator.com/item?id=6102782.

The book is based on PyMC2, a Python module for Bayesian inference: http://pymc-devs.github.io/pymc/

PyMC3 is nearing the first beta release and is a complete rewrite that's using Theano to add just-in-time-compilation as well as support for next-generation sampling methods like Hamiltonian Monte Carlo (e.g. NUTS): http://pymc-devs.github.io/pymc3/

Yudkowsky's "An Intuitive Explanation of Bayes' Theorem" is a good introduction as well: http://www.yudkowsky.net/rational/bayes/

Java plugin required? :(

There are applets embedded there that help you play around with visualizations; they're not required to read and understand the text though, just helpful.

Love the chapter on the law of large numbers http://nbviewer.ipython.org/github/CamDavidsonPilon/Probabil...

Anyone know how to turn this into an ePub or some convenient e-reader format?

There is a shell script in the source that converts the ipython notebook files into PDF. Unfortunatly, I do not have access to my linux box these days to do the conversion.

PDF isn't particularly well suited for kindles. epub/mobi would be better.

Yes! A thousand times yes!

Bayesian Methods for Hackers