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Statistical Rethinking - README improvements
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# Statistical Rethinking with Python and PyMC3

[Statistical Rethinking](http://xcelab.net/rm/statistical-rethinking/) is an incredible good introductory book to Bayesian Statistics, its follows a _Jaynesian_ and practical approach with very good examples and clear explanations.
[Statistical Rethinking](http://xcelab.net/rm/statistical-rethinking/) is an incredible introductory book to Bayesian Statistics. It follows a [_Jaynesian_](https://en.wikipedia.org/wiki/Edwin_Thompson_Jaynes) and practical approach with very good examples and clear explanations.

In this repository we ported the codes ([originally in R and Stan](https://github.com/rmcelreath/rethinking)) in the book to PyMC3. We are trying to keep the examples as close as possible to those in the book, while at the same time trying to express them in the most _Pythonic_ and _PyMC3onic_ way we can.
In this repository we port [the book's original code in R and Stan](https://github.com/rmcelreath/rethinking) to Python and PyMC3. We attempt to reproduce the examples as faithfully as possible while expressing them in a _Pythonic_ and _PyMC3onic_ way.

## Display notebooks
[![Binder](https://mybinder.org/badge.svg)](https://mybinder.org/v2/gh/pymc-devs/resources/master?filepath=Rethinking)
[<img src="http://nbviewer.jupyter.org/static/img/nav_logo.svg" width=120>](http://nbviewer.jupyter.org/github/pymc-devs/resources/blob/master/Rethinking)
[<img src="http://nbviewer.jupyter.org/static/img/nav_logo.svg" width=120>](http://nbviewer.jupyter.org/github/pymc-devs/resources/blob/master/Rethinking)

## Contributing

All contributions are welcome!

Feel free to send PR to fix errors, improve the code or made comments that could help the user of this repository and readers of the book.
Feel free to send PR to fix errors, improve the code, or make comments that could help users of this repository and readers of the book.

You can also join the discussion on [Gitter](https://gitter.im/Statistical-Rethinking-with-Python-and-PyMC3/Lobby)
You can also join the discussion on [Gitter](https://gitter.im/Statistical-Rethinking-with-Python-and-PyMC3/Lobby).

## Installing the dependencies

To install the dependencies to run these notebooks, you can use
[Anaconda](https://www.continuum.io/downloads). Once you have installed
Anaconda, run:
To install the dependencies to run these notebooks, you can use [Anaconda](https://www.continuum.io/downloads). Once you have installed Anaconda, run:

conda env create -f environment.yml

to install all the dependencies into an isolated environment. You can switch to
this environment by running:
to install all the dependencies into an isolated environment.

source activate stat-rethink-pymc3
Activate the environment by running:

source activate stat-rethink-pymc3

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