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Addresses #222 - Highlighting all of the Pythia resources from the landing page #227

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merged 4 commits into from
Mar 25, 2022
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Addresses #222 - Highlighting all of the Pythia resources from the landing page #227

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6513b88
Fixed #222
clyne Mar 24, 2022
8c46c83
[pre-commit.ci] auto fixes from pre-commit.com hooks
pre-commit-ci[bot] Mar 24, 2022
fa1fc13
Update portal/index.md
jukent Mar 25, 2022
705e9e2
Update portal/index.md
clyne Mar 25, 2022
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44 changes: 40 additions & 4 deletions portal/index.md
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Expand Up @@ -33,10 +33,8 @@ _community-owned_, _geoscience-focused_, and _high-quality_.

## Start Learning

Project Pythia has two main resources for you to use to start learning how to use Python
and the technology in the Python ecosystem for the geosciences: the
[Pythia Foundations Book](#the-foundations-book) and the
[Pythia Resource Gallery](#the-resource-gallery).
Project Pythia has several resources for you to use to start learning how to use Python
and the technology in the Python ecosystem for the geosciences.

### The Foundations Book

Expand Down Expand Up @@ -68,6 +66,44 @@ your own pace.
</a>
</span>

### Webinar Tutorial Series

The [Pythia Webinar Tutorial Series](https://ncar-xdev.github.io/status/tutorials.html) is hosted regularly by the Project Pythia team. Anyone can join
these hour-long, instructor-led interactive tutorials. Participants can
sit back and learn, or download a Jupyter Notebook and work along with
the instructor. Each seminar is recorded for later viewing on the
[Project Pythia YouTube channel](https://www.youtube.com/channel/UCoZPBqJal5uKpO8ZiwzavCw).
Click the link below to view past and upcoming seminars, covering a range of
topics from beginning to advanced.

<span class="d-flex justify-content-center pt-1 pb-3">
<a href="https://ncar-xdev.github.io/status/tutorials.html" role="button" class="btn btn-primary btn-lg">
Visit the Pythia Webinar Tutorial Series
</a>
</span>

### Pythia Data Collection

Looking for a free, public domain geoscience data set that you can use to
sharpen your skills while learning the Scientific Python Ecosystem? All of
the example data used by the [Pythia Foundations Book](https://foundations.projectpythia.org) are freely accessible.

<span class="d-flex justify-content-center pt-1 pb-3">
<a href="https://github.com/ProjectPythia/pythia-datasets" role="button" class="btn btn-primary btn-lg">
Visit the Pythia Data Repository
</a>
</span>

### Pythia Cookbooks

Coming soon!!! Pythia Cookbooks are collections of more advanced and domain-specific example workflows building on top of Pythia Foundations.

<span class="d-flex justify-content-center pt-1 pb-3">
<a href="https://github.com/ProjectPythia/pythia-cookbook" role="button" class="btn btn-primary btn-lg">
Visit Pythia Cookbooks
</a>
</span>

<!--
<a href="/gallery.html">
<div id="galleryCarousel" class="carousel carousel-dark slide py-4" data-bs-ride="carousel">
Expand Down