Following "Doing Bayesian Data Analysis", in python

Python solutions to the exercises of Doing Bayesian Data Analysis, 2nd Edition, by J. L. Kruschke.

Why?

This is not a translation of R code to python (as the other resources mentioned below). I try to keep the code pythonic, and use the best available tools.
It's all in ipython notebook format, with figures and stuff, for better learning experience.
My thoughts about the code provided with the book.

Name		Name	Last commit message	Last commit date
Latest commit History 52 Commits
data		data
.gitignore		.gitignore
LICENSE		LICENSE
README.md		README.md
ch02.ipynb		ch02.ipynb
ch03.ipynb		ch03.ipynb
ch04.ipynb		ch04.ipynb
ch05.ipynb		ch05.ipynb
ch06.ipynb		ch06.ipynb
ch07.ipynb		ch07.ipynb
ch08.ipynb		ch08.ipynb
ch09.ipynb		ch09.ipynb
ch10.ipynb		ch10.ipynb
ch11.ipynb		ch11.ipynb
ch12.ipynb		ch12.ipynb
dist_utils.py		dist_utils.py
mcmc_utils.py		mcmc_utils.py
plot_utils.py		plot_utils.py
requirements.in		requirements.in
requirements.txt		requirements.txt