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title: "Statistical Rethinking 2 in PyMC"
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**version 0.0.1** | [*Mikhael D. Manurung*](https://mdmanurung.rbind.io/) | *2022-10-26*

## This is my learning diary

I always wanted to learn Bayesian Statistics and Python. So, why not learn both simultaneously? So here I attempt to translate the R code from the Statistical Rethinking 2 book into Python and PyMC (+Bambi too!).

Note that this translation draws a lot from the [PyMC resources](https://github.com/pymc-devs/pymc-resources/tree/main/Rethinking_2) by the PyMC developers! Why make another one, you may ask. Well, because the PyMC authors have not fully migrated their code to PyMC v4, which I will use for the entire book.

I hope it is useful!

## Related Resources

Statistical Rethinking 2 is such a fantastic book that many has shared their ports or their solutions to the exercises. Here are the ones that I find particularly useful (note that I am biased toward `R`):

* [Solutions to Statistical Rethinking 2 by Erik Kusch](https://www.erikkusch.com/category/statistical-rethinking/)
* [Richard McElreath's personal website](https://xcelab.net/rm/statistical-rethinking/)
* [Jeffrey Girard's Blog](https://jmgirard.com/blog/)
* [Jake Thompson's solutions](https://sr2-solutions.wjakethompson.com/)
* [Rohit Goswami's solutions](https://rgoswami.me/posts/some-sol-sr2/)