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Addresses #222 - Highlighting all of the Pythia resources from the landing page (#227)
* Fixed #222 Highlighting all of the Pythia resources from the landing page * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Update portal/index.md Co-authored-by: Brian Rose <[email protected]> * Update portal/index.md Co-authored-by: Brian Rose <[email protected]> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Julia Kent <[email protected]> Co-authored-by: Brian Rose <[email protected]>
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@@ -33,10 +33,8 @@ _community-owned_, _geoscience-focused_, and _high-quality_.
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## Start Learning
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Project Pythia has two main resources for you to use to start learning how to use Python
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and the technology in the Python ecosystem for the geosciences: the
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[Pythia Foundations Book](#the-foundations-book) and the
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[Pythia Resource Gallery](#the-resource-gallery).
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Project Pythia has several resources for you to use to start learning how to use Python
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and the technology in the Python ecosystem for the geosciences.
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### The Foundations Book
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</a>
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</span>
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### Webinar Tutorial Series
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The [Pythia Webinar Tutorial Series](https://ncar-xdev.github.io/status/tutorials.html) is hosted regularly by the Project Pythia team. Anyone can join
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these hour-long, instructor-led interactive tutorials. Participants can
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sit back and learn, or download a Jupyter Notebook and work along with
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the instructor. Each seminar is recorded for later viewing on the
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[Project Pythia YouTube channel](https://www.youtube.com/channel/UCoZPBqJal5uKpO8ZiwzavCw).
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Click the link below to view past and upcoming seminars, covering a range of
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topics from beginning to advanced.
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<span class="d-flex justify-content-center pt-1 pb-3">
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<a href="https://ncar-xdev.github.io/status/tutorials.html" role="button" class="btn btn-primary btn-lg">
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Visit the Pythia Webinar Tutorial Series
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</a>
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</span>
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### Pythia Data Collection
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Looking for a free, public domain geoscience data set that you can use to
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sharpen your skills while learning the Scientific Python Ecosystem? All of
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the example data used by the [Pythia Foundations Book](https://foundations.projectpythia.org) are freely accessible.
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<span class="d-flex justify-content-center pt-1 pb-3">
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<a href="https://github.com/ProjectPythia/pythia-datasets" role="button" class="btn btn-primary btn-lg">
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Visit the Pythia Data Repository
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</a>
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</span>
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### Pythia Cookbooks
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Coming soon!!! Pythia Cookbooks are collections of more advanced and domain-specific example workflows building on top of Pythia Foundations.
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<span class="d-flex justify-content-center pt-1 pb-3">
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<a href="https://github.com/ProjectPythia/pythia-cookbook" role="button" class="btn btn-primary btn-lg">
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Visit Pythia Cookbooks
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</a>
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</span>
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<!--
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<a href="/gallery.html">
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<div id="galleryCarousel" class="carousel carousel-dark slide py-4" data-bs-ride="carousel">

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