sponsor logos cleanup, other changes

docs/source/community.md

@@ -34,147 +34,3 @@
 
     A two days advance workshop in May 2018 @CEAi in the Czech Republic.
 :::
-
-## Books
-
-::::{panels}
-:column: col-lg-4 col-md-4
-
----
-:img-top: https://camo.githubusercontent.com/4a0aca82ca82efab71747d00db30f3a68de98e82/687474703a2f2f692e696d6775722e636f6d2f36444b596250622e706e673f31
-
-Bayesian Methods for Hackers
-
-*Cameron Davidson-Pilon*
-^^^^^^^^
-
-Fantastic book with many applied code examples.
-
-:::{list-table}
-:header-rows: 0
-:widths: 4 60
-
-* - [{fa}`link`][hackers source]
-  - [Github Repo][hackers source]
-* - [{fa}`link`][hackers homepage]
-  - [Project Homepage][hackers homepage]
-:::
-
----
-:img-top: https://lh3.googleusercontent.com/qU5yWpiVSkujyCnRZhQo8cBUrW_3e_7Cx4jEs5yfpmMbEEuDnxTGOELhy2x7F7qkwFwQJ4pFYNszZhNpN1jCSdrdHsVUHtf1Mg6F8qwb3SQe1TDE=w1280
-
-Doing Bayesian Data Analysis
-
-*John Kruschke*
-^^^^^^^^
-
-Principled introduction to Bayesian data analysis.
-
-:::{list-table}
-:header-rows: 0
-:widths: 4 60
-
-* - [{fa}`link`][dbda website]
-  - [Book Website][dbda website]
-* - [{fa}`link`][dbda 1st ed nb]
-  - [PyMC notebooks for *first edition*][dbda 1st ed nb]
-* - [{fa}`link`][dbda 2nd ed nb]
-  - [PyMC notebooks for *second edition*][dbda 2nd ed nb]
-:::
-
----
-:img-top: http://xcelab.net/rm/wp-content/uploads/2012/01/9781482253443-191x300.jpg
-
-Statistical Rethingking
-
-*Richard McElreath*
-^^^^^^^^
-
-A Bayesian Course with Examples in R and Stan.
-
-:::{list-table}
-:header-rows: 0
-:widths: 4 60
-
-* - [{fa}`link`][rethinking website]
-  - [Book Website][rethinking website]
-* - [{fa}`link`][rethinking port]
-  - [PyMC port of the code][rethinking port]
-:::
-
----
-:img-top: https://raw.githubusercontent.com/aloctavodia/BAP/master/Cover.png
-
-Bayesian Analysis with Python
-
-*Osvaldo Martin*
-^^^^^^^^
-
-A great introductory book written by a maintainer of PyMC.
-
-:::{list-table}
-:header-rows: 0
-:widths: 4 60
-
-* - [{fa}`link`][bap website]
-  - [Book Website][bap website]
-* - [{fa}`link`][bap code]
-  - [Code and errata in PyMC][bap code]
-:::
-
----
-:img-top: https://images-na.ssl-images-amazon.com/images/I/51K33XI2I8L._SX330_BO1,204,203,200_.jpg
-
-Bayesian Cognitive Modeling: A Practical Course
-
-*Michael Lee and Eric-Jan Wagenmakers*
-^^^^^^^^
-
-Focused on using Bayesian statistics in cognitive modeling.
-
-:::{list-table}
-:header-rows: 0
-:widths: 4 60
-
-* - [{fa}`link`][bcm website]
-  - [Book Website][bcm website]
-* - [{fa}`link`][bcm code]
-  - [PyMC implementation][bcm code]
-:::
-
----
-:img-top: http://www.stat.columbia.edu/~gelman/book/bda_cover.png
-
-Bayesian Data Analysis
-
-*Andrew Gelman, John Carlin, Hal Stern, David Dunson, Aki Vehtari, and Donald Rubin*
-^^^^^^^^
-
-A comprehensive, standard, and wonderful textbook on Bayesian methods.
-
-:::{list-table}
-:header-rows: 0
-:widths: 4 60
-
-* - [{fa}`link`][bda3 website]
-  - [Book Website][bda3 website]
-* - [{fa}`link`][bda3 port]
-  - [Examples and exercises implemented in PyMC][bda3 port]
-:::
-
-::::
-
-
-[hackers source]: https://github.com/CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
-[hackers homepage]: http://camdavidsonpilon.github.io/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers/
-[dbda website]: https://sites.google.com/site/doingbayesiandataanalysis/home
-[dbda 1st ed nb]: https://github.com/aloctavodia/Doing_bayesian_data_analysis
-[dbda 2nd ed nb]: https://github.com/JWarmenhoven/DBDA-python
-[rethinking website]: http://xcelab.net/rm/statistical-rethinking/
-[rethinking port]: https://github.com/pymc-devs/resources/tree/master/Rethinking
-[bap website]: https://www.packtpub.com/big-data-and-business-intelligence/bayesian-analysis-python-second-edition
-[bap code]: https://github.com/aloctavodia/BAP
-[bcm website]: https://bayesmodels.com/
-[bcm code]: https://github.com/pymc-devs/resources/tree/master/BCM
-[bda3 website]: https://www.stat.columbia.edu/~gelman/book/
-[bda3 port]: https://github.com/pymc-devs/resources/tree/master/BDA3

docs/source/index.md

@@ -1,31 +1,37 @@
+---
+sd_hide_title: true
+---
+
+# PyMC Documentation
+
 :::{card}
-:img-background: https://raw.githubusercontent.com/pymc-devs/pymc/main/docs/logos/PyMC.jpg
+:img-top: https://raw.githubusercontent.com/pymc-devs/pymc/main/docs/logos/PyMC.jpg
 :margin: 0 2 auto auto
 :width: 50%
-:::
+:text-align: center
 
-Probabilistic programming in Python
++++
+Probabilistic Programming in Python
+:::
 
 :::{button-ref} learning
-:color: secondary
+:color: primary
 :shadow:
 
 Get started!
 :::
 
-::::{grid} 1
 
-:::{dropdown} Announcements: library name change and launching PyMC 4.0!
-:color: warning
-:icon: rocket
-:animate: fade-in
-:open:
+:::{card} Announcements: library name change and launching PyMC 4.0!
+:width: 75%
+:margin: auto
 
 We have two major announcements that we're excited to share. First of all, a new name for our library: the PyMC3 library you know and love is now called PyMC. PyMC3 still exists, as a specific major release between PyMC2 and PyMC 4.0. Read more about the renaming and how to solve related issues you might experience from this update [here]().
 
 This ties into our second announcement, which is that we are hereby launching the newest version of PyMC: PyMC 4.0! Read more about this new release [here]().
 :::
-::::
+
+---
 
 # Main Features & Benefits
 

docs/source/learning.md

@@ -3,90 +3,82 @@
 
 ## Getting started
 
-Start here to get acquainted with the core concepts of Bayesian analysis and PyMC.
+Start here to get acquainted with the core concepts of Bayesian analysis and PyMC. The following resources only assume a very basic knowledge of code and statistics.
 
-::::::{grid} 1
-:gutter: 1
-
-:::::{grid-item}
 ::::{grid} 2
-:gutter: 1
+:gutter: 4
 
 :::{grid-item-card} Bayesian Methods for Hackers
-:shadow: none
 
 By Cameron Davidson-Pilon
-:::
 
-:::{grid-item-card}
-:shadow: none
-
-Hands-on learning of  Bayesian statistics and PyMC3
+The "hacker" in the title  means learn-as-you-code. This hands-on introduction teaches intuitive definitions of the Bayesian approach to statistics, worklflow and decision-making by applying them using PyMC.
 
 [Github repo](https://github.com/CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers)
 
 [Project homepage](http://camdavidsonpilon.github.io/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers/)
 :::
-::::
-:::::
-
-:::::{grid-item}
-::::{grid} 2
-:gutter: 1
 
 :::{grid-item-card} Bayesian Analysis with Python
-:shadow: none
 
 by Osvaldo Martin
-:::
-
-:::{grid-item-card}
-:shadow: none
 
-A great introductory book written by a maintainer of PyMC.
+A great introductory book written by a maintainer of PyMC. It provides a hands-on introduction to the main concepts of Bayesian statistics using synthetic and real data sets. Mastering the concepts in this book is a great foundation to pursue more advanced knowledge.
 
 [Book website](https://www.packtpub.com/big-data-and-business-intelligence/bayesian-analysis-python-second-edition)
 
 [Code and errata in PyMC](https://github.com/aloctavodia/BAP)
 :::
 
-::::
-:::::
+:::{grid-item-card} Getting started with PyMC
 
-:::::{grid-item}
-::::{grid} 2
-:gutter: 1
+The {doc}`nb:getting_started` notebook in our documentation shows the PyMC 4.0 code in action
+:::
 
 :::{grid-item-card} Glossary
-:shadow: none
 
+PyMC's own {doc}`glossary` defines many core terms and provides useful references.
 :::
+::::
 
-:::{grid-item-card}
-:shadow: none
+---
 
-PyMC's glossary, which defines many core terms and provides references.
+## Using PyMC
 
-:ref: glossary
-:::
+(the path in pymc-examples repo excluding the `examples` folder, or using manual anchors if we decide to create them).
 
-::::
-:::::
-::::::
+::::{grid} 2
+:gutter: 4
 
+:::{grid-item-card} TODO
 
----
-## Step 2 overview
-Links to beginner lever notebooks. For example,
-thanks to intersphinx, we can cite the getting started
-notebook with {doc}`nb:getting_started` (the path in pymc-examples repo excluding
-the `examples` folder, or using manual anchors if we decide to create them).
+
+TODO
+:::
+
+::::
 
 ---
-## Step 3 overview
+## Diving deeper
 
 Links to intermediate notebooks. {doc}`More about step 3... <learn/step3>`
 
+::::{grid} 2
+:gutter: 4
+
+:::{grid-item-card} TODO
+
+
+TODO
+:::
+
+:::{grid-item-card} TODO
+
+
+TODO
+:::
+::::
+
 :::{toctree}
 :hidden: