Revision ed66bc4b1b50d86c0441fffd43fc7a9081fa36be authored by Michael Osthege on 16 June 2020, 18:45:19 UTC, committed by GitHub on 16 June 2020, 18:45:19 UTC
+ removes docs/* from the tarball to fix PyPI size limits (setup.py and MANIFEST.in) + updates the release notes with 3.9.0/3.9.1 sections + black applied to setup.py
1 parent 9b50ea9
learn.rst
.. title:: Learning Resources
.. raw:: html
<h1 class="ui header">Learn Bayesian statistics</h1>
<h2 class="ui header">...with others!</h2>
<div class="ui celled list">
<div class="item">
<i class="large discourse middle aligned icon"></i>
<div class="content">
<a href="https://discourse.pymc.io/" class="header">Discourse Forum</a>
<div class="description">
The PyMC3 discourse forum is a great place to ask general questions about Bayesian statistics, or more specific ones about PyMC3 usage.
</div>
</div>
</div>
<div class="item">
<i class="large python middle aligned icon"></i>
<div class="content">
<div class="header">Conferences</div>
<div class="description">
PyMC3 talks have been given at a number of conferences, including <a href="https://us.pycon.org/">PyCon</a>, <a href="https://pydata.org/events/">PyData</a>, and <a href="https://odsc.com/">ODSC</a> events.
</div>
</div>
</div>
<div class="item">
<i class="large meetup middle aligned icon"></i>
<div class="content">
<a href="https://www.meetup.com/" class="header">Meetup Groups</a>
<div class="description">
Many areas have an local Bayesian, PyData, or Stan meetup.
</div>
</div>
</div>
</div>
<h2 class="ui header">...with a video!</h2>
<div class="ui celled list">
<div class="item">
<i class="large youtube middle aligned icon"></i>
<div class="content">
<a href="https://www.youtube.com/playlist?list=PL1Ma_1DBbE82OVW8Fz_6Ts1oOeyOAiovy" class="header"> YouTube Playlist</a>
<div class="description">
There is an actively curated playlist of PyMC3 talks on YouTube.
</div>
</div>
</div>
<div class="item">
<i class="large youtube middle aligned icon"></i>
<div class="content">
<a href="https://github.com/junpenglao/advance-bayesian-modelling-with-PyMC3" class="header"> Advance Bayesian Modelling with PyMC3</a>
<div class="description">
A two days advance workshop in May 2018 @CEAi in the Czech Republic.
</div>
</div>
</div>
</div>
<h2 class="ui header">...with a book!</h2>
<div class="ui link four stackable cards">
<div class="card">
<div class="image">
<img src="https://camo.githubusercontent.com/4a0aca82ca82efab71747d00db30f3a68de98e82/687474703a2f2f692e696d6775722e636f6d2f36444b596250622e706e673f31">
</div>
<div class="content">
<div class="header">Bayesian Methods for Hackers</div>
<div class="meta">Cameron Davidson-Pilon</div>
<div class="description">
Fantastic book with many applied code examples.
</div>
</div>
<table class="ui table">
<tbody>
<tr>
<td>
<a href="https://github.com/CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers">
<i class="linkify icon"></i> Github Repo
</a>
</td>
</tr>
<tr>
<td>
<a href="http://camdavidsonpilon.github.io/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers/">
<i class="linkify icon"></i> Project homepage
</a>
</td>
</tr>
</tbody>
</table>
</div>
<div class="card">
<div class="image">
<img src="https://camo.githubusercontent.com/dbb5f926b3bfe7e2196044462ce2411ee3a001ee/68747470733a2f2f39623865303033322d612d36326362336131612d732d73697465732e676f6f676c6567726f7570732e636f6d2f736974652f646f696e67626179657369616e64617461616e616c797369732f776861742d732d6e65772d696e2d326e642d65642f436f7665724442444132452d46726f6e744f6e6c792d363030776964652e706e67">
</div>
<div class="content">
<div class="header">Doing Bayesian Data Analysis</div>
<div class="meta">John Kruschke</div>
<div class="description">
Principled introduction to Bayesian data analysis.
</div>
</div>
<table class="ui table">
<tbody>
<tr>
<td>
<a href="http://doingbayesiandataanalysis.blogspot.com/">
<i class="linkify icon"></i> Book website
</a>
</td>
</tr>
<tr>
<td>
<a href="https://github.com/aloctavodia/Doing_bayesian_data_analysis">
<i class="linkify icon"></i> PyMC3 notebooks for <em>first edition</em>
</a>
</td>
</tr>
<tr>
<td>
<a href="https://github.com/JWarmenhoven/DBDA-python">
<i class="linkify icon"></i> PyMC3 notebooks for <em>second edition</em>
</a>
</td>
</tr>
</tbody>
</table>
</div>
<div class="card">
<div class="image">
<img src="http://xcelab.net/rm/wp-content/uploads/2012/01/9781482253443-191x300.jpg">
</div>
<div class="content">
<div class="header">Statistical Rethinking</div>
<div class="meta">Richard McElreath</div>
<div class="description">
A Bayesian Course with Examples in R and Stan.
</div>
</div>
<table class="ui table">
<tbody>
<tr>
<td>
<a href="http://xcelab.net/rm/statistical-rethinking/">
<i class="linkify icon"></i> Book website
</a>
</td>
</tr>
<tr>
<td>
<a href="https://github.com/pymc-devs/resources/tree/master/Rethinking">
<i class="linkify icon"></i> PyMC3 port of the code
</a>
</td>
</tr>
</tbody>
</table>
</div>
<div class="card">
<div class="image">
<img src="https://raw.githubusercontent.com/aloctavodia/BAP/master/Cover.png">
</div>
<div class="content">
<div class="header">Bayesian Analysis with Python</div>
<div class="meta">Osvaldo Martin</div>
<div class="description">
A great introductory book written by a maintainer of PyMC3.
</div>
</div>
<table class="ui table">
<tbody>
<tr>
<td>
<a href="https://www.packtpub.com/big-data-and-business-intelligence/bayesian-analysis-python-second-edition">
<i class="linkify icon"></i> Book website
</a>
</td>
</tr>
<tr>
<td>
<a href="https://github.com/aloctavodia/BAP">
<i class="linkify icon"></i> Code and errata in PyMC3
</a>
</td>
</tr>
</tbody>
</table>
</div>
<div class="card">
<div class="image">
<img src="https://images-na.ssl-images-amazon.com/images/I/51K33XI2I8L._SX330_BO1,204,203,200_.jpg">
</div>
<div class="content">
<div class="header">Bayesian Cognitive Modeling: A Practical Course</div>
<div class="meta">Michael Lee and Eric-Jan Wagenmakers</div>
<div class="description">
Focused on using Bayesian statistics in cognitive modeling.
</div>
</div>
<table class="ui table">
<tbody>
<tr>
<td>
<a href="https://bayesmodels.com/">
<i class="linkify icon"></i> Book website
</a>
</td>
</tr>
<tr>
<td>
<a href="https://github.com/pymc-devs/resources/tree/master/BCM">
<i class="linkify icon"></i> PyMC3 implementations
</a>
</td>
</tr>
</tbody>
</table>
</div>
<div class="card">
<div class="image">
<img src="http://www.stat.columbia.edu/~gelman/book/bda_cover.png">
</div>
<div class="content">
<div class="header">Bayesian Data Analysis</div>
<div class="meta">Andrew Gelman, John Carlin, Hal Stern, David Dunson, Aki Vehtari, and Donald Rubin</div>
<div class="description">
A comprehensive, standard, and wonderful textbook on Bayesian methods.
</div>
</div>
<table class="ui table">
<tbody>
<tr>
<td>
<a href="https://www.stat.columbia.edu/~gelman/book/">
<i class="linkify icon"></i> Book website
</a>
</td>
</tr>
<tr>
<td>
<a href="https://github.com/pymc-devs/resources/tree/master/BDA3">
<i class="linkify icon"></i> Examples and exercises implemented in PyMC3
</a>
</td>
</tr>
</tbody>
</table>
</div>
</div>
Computing file changes ...
