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docs/source/community.md

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# Learn Bayesian statistics
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# Community
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## ...with others!
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Interact with others in the PyMC world
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:::{list-table}
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:header-rows: 0
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## Events
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* - {fa}`discourse,fa-2x,style=fab`
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- [Discourse Forum](https://discourse.pymc.io/)
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### Journal Club
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The PyMC3 discourse forum is a great place to ask general questions about Bayesian statistics, or more specific ones about PyMC3 usage.
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* - {fa}`meetup,fa-2x,style=fab`
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- Conferences
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Every month the PyMC developers meet virtually to talk about a recent or particularly interesting article.
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PyMC3 talks have been given at a number of conferences, including [PyCon](https://us.pycon.org/),
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[PyData](https://pydata.org/events/), and [ODSC](https://odsc.com/) events.
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* - {fa}`python,fa-2x,style=fab`
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- [Meetup Groups](https://www.meetup.com/)
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Find out more [here](https://discourse.pymc.io/c/journal-club/9)!
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Many areas have an local Bayesian, PyData, or Stan meetup.
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:::
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## ...with a video!
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:::{list-table}
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* - {fa}`youtube,fa-2x,style=fab`
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- [YouTube Playlist](https://www.youtube.com/playlist?list=PL1Ma_1DBbE82OVW8Fz_6Ts1oOeyOAiovy)
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There is an actively curated playlist of PyMC3 talks on YouTube.
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* - {fa}`youtube,fa-2x,style=fab`
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- [Advance Bayesian Modelling with PyMC3](https://github.com/junpenglao/advance-bayesian-modelling-with-PyMC3)
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A two days advance workshop in May 2018 @CEAi in the Czech Republic.
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:::
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## ...with a book!
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::::{panels}
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:column: col-lg-4 col-md-4
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---
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:img-top: https://camo.githubusercontent.com/4a0aca82ca82efab71747d00db30f3a68de98e82/687474703a2f2f692e696d6775722e636f6d2f36444b596250622e706e673f31
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### PyMCon
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Bayesian Methods for Hackers
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Check out information about our past conference, [PyMCon 2020](https://pymcon.com)
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*Cameron Davidson-Pilon*
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^^^^^^^^
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The next edition will likely be held in 2022. Follow us on Twitter for announcements!
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Fantastic book with many applied code examples.
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:::{list-table}
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:widths: 4 60
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* - [{fa}`link`][hackers source]
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- [Github Repo][hackers source]
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* - [{fa}`link`][hackers homepage]
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- [Project Homepage][hackers homepage]
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:::
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---
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:img-top: https://lh3.googleusercontent.com/qU5yWpiVSkujyCnRZhQo8cBUrW_3e_7Cx4jEs5yfpmMbEEuDnxTGOELhy2x7F7qkwFwQJ4pFYNszZhNpN1jCSdrdHsVUHtf1Mg6F8qwb3SQe1TDE=w1280
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Doing Bayesian Data Analysis
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*John Kruschke*
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^^^^^^^^
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Principled introduction to Bayesian data analysis.
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:::{list-table}
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:widths: 4 60
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* - [{fa}`link`][dbda website]
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- [Book Website][dbda website]
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* - [{fa}`link`][dbda 1st ed nb]
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- [PyMC3 notebooks for *first edition*][dbda 1st ed nb]
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* - [{fa}`link`][dbda 2nd ed nb]
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- [PyMC3 notebooks for *second edition*][dbda 2nd ed nb]
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:::
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## Code of Conduct
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---
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:img-top: http://xcelab.net/rm/wp-content/uploads/2012/01/9781482253443-191x300.jpg
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In the interest of fostering an open and welcoming environment, we as contributors and maintainers pledge to making participation in our project and our community a harassment-free experience for everyone, regardless of age, body size, disability, ethnicity, sex characteristics, gender identity and expression, level of experience, education, socio-economic status, nationality, personal appearance, race, religion, or sexual identity and orientation.
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Statistical Rethingking
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Read more and find out how to report an issue [here](https://github.com/pymc-devs/pymc/blob/main/CODE_OF_CONDUCT.md).
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*Richard McElreath*
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^^^^^^^^
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## Twitter
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A Bayesian Course with Examples in R and Stan.
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::::{card}
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:text-align: center
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:::{list-table}
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:::{raw} html
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* - [{fa}`link`][rethinking website]
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- [Book Website][rethinking website]
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* - [{fa}`link`][rethinking port]
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- [PyMC3 port of the code][rethinking port]
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<a class="twitter-timeline" data-width="300" data-height="500" data-dnt="true" href="https://twitter.com/pymc_devs?ref_src=twsrc%5Etfw">Tweets by pymc_devs</a> <script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>
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:::
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::::
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:img-top: https://raw.githubusercontent.com/aloctavodia/BAP/master/Cover.png
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Bayesian Analysis with Python
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:gutter: 3 3 4 5
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*Osvaldo Martin*
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^^^^^^^^
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:::{grid-item-card} Need help?
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[Ask a question!](https://discourse.pymc.io/)
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A great introductory book written by a maintainer of PyMC3.
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[Read the User Docs]()
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:::{list-table}
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[Read the Developer Docs]()
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* - [{fa}`link`][bap website]
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- [Book Website][bap website]
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* - [{fa}`link`][bap code]
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- [Code and errata in PyMC3][bap code]
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:::
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:::{grid-item-card} Around the web
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[Github](https://github.com/pymc-devs)
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:img-top: https://images-na.ssl-images-amazon.com/images/I/51K33XI2I8L._SX330_BO1,204,203,200_.jpg
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Bayesian Cognitive Modeling: A Practical Course
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*Michael Lee and Eric-Jan Wagenmakers*
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^^^^^^^^
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Focused on using Bayesian statistics in cognitive modeling.
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[Twitter](http://https://twitter.com/pymc_devs)
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:::{list-table}
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* - [{fa}`link`][bcm website]
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- [Book Website][bcm website]
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* - [{fa}`link`][bcm code]
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- [PyMC3 implementation][bcm code]
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[Discourse](https://discourse.pymc.io/)
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:::
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:img-top: http://www.stat.columbia.edu/~gelman/book/bda_cover.png
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Bayesian Data Analysis
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*Andrew Gelman, John Carlin, Hal Stern, David Dunson, Aki Vehtari, and Donald Rubin*
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^^^^^^^^
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A comprehensive, standard, and wonderful textbook on Bayesian methods.
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* - [{fa}`link`][bda3 website]
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- [Book Website][bda3 website]
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* - [{fa}`link`][bda3 port]
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- [Examples and exercises implemented in PyMC3][bda3 port]
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:::
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::::
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[hackers source]: https://github.com/CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
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[hackers homepage]: http://camdavidsonpilon.github.io/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers/
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[dbda website]: https://sites.google.com/site/doingbayesiandataanalysis/home
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[dbda 1st ed nb]: https://github.com/aloctavodia/Doing_bayesian_data_analysis
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[dbda 2nd ed nb]: https://github.com/JWarmenhoven/DBDA-python
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[rethinking website]: http://xcelab.net/rm/statistical-rethinking/
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[rethinking port]: https://github.com/pymc-devs/resources/tree/master/Rethinking
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[bap website]: https://www.packtpub.com/big-data-and-business-intelligence/bayesian-analysis-python-second-edition
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[bap code]: https://github.com/aloctavodia/BAP
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[bcm website]: https://bayesmodels.com/
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[bcm code]: https://github.com/pymc-devs/resources/tree/master/BCM
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[bda3 website]: https://www.stat.columbia.edu/~gelman/book/
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[bda3 port]: https://github.com/pymc-devs/resources/tree/master/BDA3
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::::

docs/source/conf.py

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import os
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import sys
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# If extensions (or modules to document with autodoc) are in another directory,
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# add these directories to sys.path here. If the directory is relative to the
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# documentation root, use os.path.abspath to make it absolute, like shown here.

docs/source/installation.md

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# Installation guide
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## Installing PyMC 4.0
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To install PyMC 4.0, select the operating system where you want to perform the installation.
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::::{tab-set}

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