# Overview

*Statistical Rethinking* is an excellent book for applied Bayesian data analysis. The accompanying codes for the book are written in **R** and **Stan**. They are then ported to Python language using PyMC3. Recently, Pyro emerges as a scalable and flexible Bayesian modeling tool (see its tutorial page), so to attract statisticians to this new library, I decided to make a *Pyronic* version for the codes in this repository. Inspired by the *PyMC3onic* version, I keep the codes in this repository as close as possible to the original codes in the book.

To say a bit more about **Pyro**, it is a universal probabilistic programming language which is built on top of PyTorch, a very popular platform for deep learning. If you are familiar with numpy, the transition from `numpy.array`

to `torch.tensor`

is rather straightforward (as demonstrated in this tutorial).

### Contents

### Supplements

### Installation

pip install jupyter pandas pyro-ppl seaborn torch