deploy: 8dca622

Author: jukent

_preview/454/_sources/index.md

@@ -10,7 +10,7 @@
 <span style="font-size: 2.6rem;">An education and training hub for the geoscientific Python community</span>
 
 <a href="posts/fundraiser.html" role="button" class="btn btn-light btn-lg" style="display: flex; align-items: center; font-weight: 600; text-decoration: none; background-color: #ccc; border: rgba(var(--spt-color-dark), 1);">
-         Donate to Project Pythia!
+         Donate to support Project Pythia!
  </a>
 
 [Project Pythia](about) is the education working group for [Pangeo](https://pangeo.io)

_preview/454/_sources/posts/fundraiser.md

@@ -5,7 +5,23 @@ author: Julia kent
 tags: fundraiser
 ---
 
-# Donate to Project Pythia!
+# Donate to Support Project Pythia!
+
+## You can make an impact on our community!
+By donating to support Project Pythia you are investing in an important educational resource for the entire geoscience community. Project Pythia is an education working group helping geoscientists make sense of huge volumes of numerical scientific data using tools that facilitate open, reproducible science, and building an inclusive community of practice around these goals. Project Pythia is a home for Python-centered learning resources that are open-source, community-owned, geoscience-focused, and high-quality.
+
+## Friends of the National Center
+Friends of the National Center is the fundraising arm of the University Corporation for Atmospheric Research (UCAR), which manages the National Science Foundation National Center for Atmospheric Research. UCAR is a non-profit organization, so all donations to Project Pythia are tax-deductible to the fullest extent allowed by law.
+
+We accept donations through the following ways:
+**Online** – Click the Donate Button on the right (we accept credit cards, Paypal and ApplePay).
+**Check** – Mail your check made out to UCAR and send it to:
+UCAR – Friends of the National Center
+Attn: Sarah Swanson
+PO BOX 3000
+Boulder, CO 80307
+Please include in the memo: Donation for Project Pythia
+**Stock gifts, ACH Transfers, etc.** – Please reach out to Friends of the National Center at [email protected]
 
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_preview/454/_sources/resource-gallery.md

@@ -155,7 +155,7 @@ Resource Gallery
 <img src="_static/thumbnails/earth_env_data_science.png" class="gallery-thumbnail" />
 <div class="container">
 <a href="https://earth-env-data-science.github.io/intro" class="text-decoration-none"><h4 class="display-4 p-0">An Introduction to Earth and Environmental Data Science</h4></a>
-<p class="card-subtitle"><strong>Author:</strong> Kerry Key, Ryan Abernathey<br/><strong>Affiliation:</strong> Lamont-Doherty Earth Observatory</p>
+<p class="card-subtitle"><strong>Author:</strong> Ryan Abernathey, Kerry Key<br/><strong>Affiliation:</strong> Lamont-Doherty Earth Observatory</p>
 <p class="my-2">This book grew out of a course developed at Columbia University called Research Computing in Earth Science. It was written mostly by Ryan Abernathey, with significant contributions from Kerry Key. By separating the book from the class, we hope to create an open-source community resource for python education<a class="modal-btn"> ... more</a> </p>
 </div>
 </div>
@@ -164,7 +164,7 @@ Resource Gallery
 <div class="content">
 <img src="_static/thumbnails/earth_env_data_science.png" class="modal-img" />
 <h3 class="display-3">An Introduction to Earth and Environmental Data Science</h3>
-<strong>Author:</strong> Kerry Key, Ryan Abernathey
+<strong>Author:</strong> Ryan Abernathey, Kerry Key
 <br/>
 <strong>Affiliation:</strong> Lamont-Doherty Earth Observatory
 <p class="my-2">This book grew out of a course developed at Columbia University called Research Computing in Earth Science. It was written mostly by Ryan Abernathey, with significant contributions from Kerry Key. By separating the book from the class, we hope to create an open-source community resource for python education in the Earth and Environmental Sciences.
@@ -1578,7 +1578,7 @@ Xarray is inspired by and borrows heavily from pandas, the popular data analysis
 <img src="_static/images/ebp-logo.png" class="gallery-thumbnail" />
 <div class="container">
 <a href="https://nbviewer.jupyter.org/github/ltauxe/Python-for-Earth-Science-Students/tree/master/" class="text-decoration-none"><h4 class="display-4 p-0">Python Programming for Earth Science Students</h4></a>
-<p class="card-subtitle"><strong>Author:</strong> <a href="mailto:[email protected]">Hanna Asefaw</a>, <a href="mailto:ltauxe@ucsd.edu">Lisa Tauxe</a>, <a href="mailto:bcych@ucsd.edu">Brendan Cych</a><br/><strong>Affiliation:</strong> <a href="https://scripps.ucsd.edu/">Scripps Institution of Oceanography</a></p>
+<p class="card-subtitle"><strong>Author:</strong> <a href="mailto:[email protected]">Hanna Asefaw</a>, <a href="mailto:bcych@ucsd.edu">Brendan Cych</a>, <a href="mailto:ltauxe@ucsd.edu">Lisa Tauxe</a><br/><strong>Affiliation:</strong> <a href="https://scripps.ucsd.edu/">Scripps Institution of Oceanography</a></p>
 <p class="my-2">Python Programming for Earth Science Students </p>
 </div>
 </div>
@@ -1911,7 +1911,7 @@ Xarray is inspired by and borrows heavily from pandas, the popular data analysis
 <img src="_static/thumbnails/ptss-jupyter.jpeg" class="gallery-thumbnail" />
 <div class="container">
 <a href="https://youtu.be/xSzXvwzFsDU" class="text-decoration-none"><h4 class="display-4 p-0">Python Tutorial Seminar Series - Jupyter Notebooks</h4></a>
-<p class="card-subtitle"><strong>Author:</strong> Project Pythia, Kevin Paul<br/><strong>Affiliation:</strong> <a href="https://ncar.ucar.edu/">NCAR</a></p>
+<p class="card-subtitle"><strong>Author:</strong> Kevin Paul, Project Pythia<br/><strong>Affiliation:</strong> <a href="https://ncar.ucar.edu/">NCAR</a></p>
 <p class="my-2">Recording from the Python Tutorial Seminar Series introducing JupyterLab and Jupyter Notebooks.
 </p>
 </div>
@@ -2053,7 +2053,7 @@ Xarray is inspired by and borrows heavily from pandas, the popular data analysis
 <img src="_static/thumbnails/ptss-git.png" class="gallery-thumbnail" />
 <div class="container">
 <a href="https://youtu.be/fYkPn0Nttlg" class="text-decoration-none"><h4 class="display-4 p-0">Python Tutorial Seminar Series - Git and GitHub</h4></a>
-<p class="card-subtitle"><strong>Author:</strong> Project Pythia, Kevin Paul<br/><strong>Affiliation:</strong> <a href="https://ncar.ucar.edu/">NCAR</a></p>
+<p class="card-subtitle"><strong>Author:</strong> Kevin Paul, Project Pythia<br/><strong>Affiliation:</strong> <a href="https://ncar.ucar.edu/">NCAR</a></p>
 <p class="my-2">Recording from the Python Tutorial Seminar Series introducing the tools Git and GitHub. The content to follow along with this tutorial is hosted in this <A href="https://github.com/NCAR/git-github-demo">Git and GitHub Demo GitHub Repository</A>.
 </p>
 </div>
@@ -2081,7 +2081,7 @@ Xarray is inspired by and borrows heavily from pandas, the popular data analysis
 <img src="_static/thumbnails/ptss-pandas.jpeg" class="gallery-thumbnail" />
 <div class="container">
 <a href="https://youtu.be/BsV3ek7qsiM" class="text-decoration-none"><h4 class="display-4 p-0">Python Tutorial Seminar Series - Pandas</h4></a>
-<p class="card-subtitle"><strong>Author:</strong> Drew Camron, Max Grover, Project Pythia<br/><strong>Affiliation:</strong> <a href="https://ncar.ucar.edu/">NCAR</a></p>
+<p class="card-subtitle"><strong>Author:</strong> Max Grover, Project Pythia, Drew Camron<br/><strong>Affiliation:</strong> <a href="https://ncar.ucar.edu/">NCAR</a></p>
 <p class="my-2">Recording from the Python Tutorial Seminar Series introducing the Python Package `pandas`. The content to follow along with this video is hosted in this <A href="https://github.com/mgrover1/ncar_pandas_tutorial">Pandas Tutorial GitHub Repository</A>.
 </p>
 </div>
@@ -2109,7 +2109,7 @@ Xarray is inspired by and borrows heavily from pandas, the popular data analysis
 <img src="_static/thumbnails/ptss-xarray1.jpeg" class="gallery-thumbnail" />
 <div class="container">
 <a href="https://youtu.be/Ss4ryKukhi4" class="text-decoration-none"><h4 class="display-4 p-0">Python Tutorial Seminar Series - Xarray Part 1</h4></a>
-<p class="card-subtitle"><strong>Author:</strong> Anderson Banihirwe, Project Pythia<br/><strong>Affiliation:</strong> <a href="https://ncar.ucar.edu/">NCAR</a></p>
+<p class="card-subtitle"><strong>Author:</strong> Project Pythia, Anderson Banihirwe<br/><strong>Affiliation:</strong> <a href="https://ncar.ucar.edu/">NCAR</a></p>
 <p class="my-2">Recording from the Python Tutorial Seminar Series introducing the Python Package `xarray`. This is the first lesson of a two part series. The content to follow along with this video is hosted in this <A href="https://github.com/andersy005/xarray-tutorial">Xarray Tutorial GitHub Repository</A>.
 </p>
 </div>
@@ -2137,7 +2137,7 @@ Xarray is inspired by and borrows heavily from pandas, the popular data analysis
 <img src="_static/thumbnails/ptss-xarray2.jpeg" class="gallery-thumbnail" />
 <div class="container">
 <a href="https://youtu.be/2H_4drBwORY" class="text-decoration-none"><h4 class="display-4 p-0">Python Tutorial Seminar Series - Xarray Part 2</h4></a>
-<p class="card-subtitle"><strong>Author:</strong> Anderson Banihirwe, Project Pythia<br/><strong>Affiliation:</strong> <a href="https://ncar.ucar.edu/">NCAR</a></p>
+<p class="card-subtitle"><strong>Author:</strong> Project Pythia, Anderson Banihirwe<br/><strong>Affiliation:</strong> <a href="https://ncar.ucar.edu/">NCAR</a></p>
 <p class="my-2">Recording from the Python Tutorial Seminar Series introducing the Python Package `xarray`. This is the second lesson of a two part series. The content to follow along with this video is hosted in this <A href="https://github.com/andersy005/xarray-tutorial">Xarray Tutorial GitHub Repository</A>.
 </p>
 </div>
@@ -2165,7 +2165,7 @@ Xarray is inspired by and borrows heavily from pandas, the popular data analysis
 <img src="_static/thumbnails/ptss-dask1.jpeg" class="gallery-thumbnail" />
 <div class="container">
 <a href="https://youtu.be/wn-QM6QUB_U" class="text-decoration-none"><h4 class="display-4 p-0">Python Tutorial Seminar Series - Dask Part 1</h4></a>
-<p class="card-subtitle"><strong>Author:</strong> Anderson Banihirwe, Project Pythia<br/><strong>Affiliation:</strong> <a href="https://ncar.ucar.edu/">NCAR</a></p>
+<p class="card-subtitle"><strong>Author:</strong> Project Pythia, Anderson Banihirwe<br/><strong>Affiliation:</strong> <a href="https://ncar.ucar.edu/">NCAR</a></p>
 <p class="my-2">Recording from the Python Tutorial Seminar Series introducing the Python Package `dask`. This is the first lesson of a two part series. The content to follow along with this video is hosted in this <A href="https://github.com/andersy005/xarray-tutorial">Xarray Tutorial GitHub Repository</A>.
 </p>
 </div>
@@ -2193,7 +2193,7 @@ Xarray is inspired by and borrows heavily from pandas, the popular data analysis
 <img src="_static/thumbnails/ptss-dask2.jpeg" class="gallery-thumbnail" />
 <div class="container">
 <a href="https://youtu.be/yn4_-1pHC5k" class="text-decoration-none"><h4 class="display-4 p-0">Python Tutorial Seminar Series - Dask Part 2</h4></a>
-<p class="card-subtitle"><strong>Author:</strong> Anderson Banihirwe, Project Pythia<br/><strong>Affiliation:</strong> <a href="https://ncar.ucar.edu/">NCAR</a></p>
+<p class="card-subtitle"><strong>Author:</strong> Project Pythia, Anderson Banihirwe<br/><strong>Affiliation:</strong> <a href="https://ncar.ucar.edu/">NCAR</a></p>
 <p class="my-2">Recording from the Python Tutorial Seminar Series introducing the Python Package `dask`. This is the second lesson of a two part series. The content to follow along with this video is hosted in this <A href="https://github.com/andersy005/xarray-tutorial">Xarray Tutorial GitHub Repository</A>.
 </p>
 </div>

_preview/454/blog.html

@@ -549,7 +549,7 @@ <h2 class="ablog-post-title">
 
   <div class="section ablog-post">
     <h2 class="ablog-post-title">
-      <a href="posts/fundraiser.html">Donate to Project Pythia!</a>
+      <a href="posts/fundraiser.html">Donate to Support Project Pythia!</a>
     </h2>
     <ul class="ablog-archive">
       <li>
@@ -585,7 +585,8 @@ <h2 class="ablog-post-title">
 
 </div>
     </ul>
-    <p class="ablog-post-excerpt"></p>
+    <p class="ablog-post-excerpt"><p>By donating to support Project Pythia you are investing in an important educational resource for the entire geoscience community. Project Pythia is an education working group helping geoscientists make sense of huge volumes of numerical scientific data using tools that facilitate open, reproducible science, and building an inclusive community of practice around these goals. Project Pythia is a home for Python-centered learning resources that are open-source, community-owned, geoscience-focused, and high-quality.</p>
+</p>
 
     <p class="ablog-post-expand">
       <a href="posts/fundraiser.html"><em>Read more ...</em></a>

_preview/454/blog/2023.html

@@ -503,7 +503,7 @@ <h2 class="ablog-post-title">
 
   <div class="section ablog-post">
     <h2 class="ablog-post-title">
-      <a href="../posts/fundraiser.html">Donate to Project Pythia!</a>
+      <a href="../posts/fundraiser.html">Donate to Support Project Pythia!</a>
     </h2>
     <ul class="ablog-archive">
       <li>
@@ -539,7 +539,8 @@ <h2 class="ablog-post-title">
 
 </div>
     </ul>
-    <p class="ablog-post-excerpt"></p>
+    <p class="ablog-post-excerpt"><p>By donating to support Project Pythia you are investing in an important educational resource for the entire geoscience community. Project Pythia is an education working group helping geoscientists make sense of huge volumes of numerical scientific data using tools that facilitate open, reproducible science, and building an inclusive community of practice around these goals. Project Pythia is a home for Python-centered learning resources that are open-source, community-owned, geoscience-focused, and high-quality.</p>
+</p>
 
     <p class="ablog-post-expand">
       <a href="../posts/fundraiser.html"><em>Read more ...</em></a>

_preview/454/blog/archive.html

@@ -440,7 +440,7 @@ <h2>
 
       <span>28 June 2023</span>
        -
-      <a href="../posts/fundraiser.html">Donate to Project Pythia!</a>
+      <a href="../posts/fundraiser.html">Donate to Support Project Pythia!</a>
     </p>
   </div>
 

_preview/454/blog/author.html

@@ -450,7 +450,7 @@ <h2>
 
       <span>28 June 2023</span>
        -
-      <a href="../posts/fundraiser.html">Donate to Project Pythia!</a>
+      <a href="../posts/fundraiser.html">Donate to Support Project Pythia!</a>
     </p>
   </div>
 

_preview/454/blog/author/julia-kent.html

@@ -454,7 +454,7 @@ <h2 class="ablog-post-title">
 
   <div class="section ablog-post">
     <h2 class="ablog-post-title">
-      <a href="../../posts/fundraiser.html">Donate to Project Pythia!</a>
+      <a href="../../posts/fundraiser.html">Donate to Support Project Pythia!</a>
     </h2>
     <ul class="ablog-archive">
       <li>
@@ -490,7 +490,8 @@ <h2 class="ablog-post-title">
 
 </div>
     </ul>
-    <p class="ablog-post-excerpt"></p>
+    <p class="ablog-post-excerpt"><p>By donating to support Project Pythia you are investing in an important educational resource for the entire geoscience community. Project Pythia is an education working group helping geoscientists make sense of huge volumes of numerical scientific data using tools that facilitate open, reproducible science, and building an inclusive community of practice around these goals. Project Pythia is a home for Python-centered learning resources that are open-source, community-owned, geoscience-focused, and high-quality.</p>
+</p>
 
     <p class="ablog-post-expand">
       <a href="../../posts/fundraiser.html"><em>Read more ...</em></a>

_preview/454/blog/tag.html

@@ -440,7 +440,7 @@ <h2>
 
       <span>28 June 2023</span>
        -
-      <a href="../posts/fundraiser.html">Donate to Project Pythia!</a>
+      <a href="../posts/fundraiser.html">Donate to Support Project Pythia!</a>
     </p>
   </div>
 

_preview/454/blog/tag/fundraiser.html

@@ -407,7 +407,7 @@ <h1>
 
   <div class="section ablog-post">
     <h2 class="ablog-post-title">
-      <a href="../../posts/fundraiser.html">Donate to Project Pythia!</a>
+      <a href="../../posts/fundraiser.html">Donate to Support Project Pythia!</a>
     </h2>
     <ul class="ablog-archive">
       <li>
@@ -443,7 +443,8 @@ <h2 class="ablog-post-title">
 
 </div>
     </ul>
-    <p class="ablog-post-excerpt"></p>
+    <p class="ablog-post-excerpt"><p>By donating to support Project Pythia you are investing in an important educational resource for the entire geoscience community. Project Pythia is an education working group helping geoscientists make sense of huge volumes of numerical scientific data using tools that facilitate open, reproducible science, and building an inclusive community of practice around these goals. Project Pythia is a home for Python-centered learning resources that are open-source, community-owned, geoscience-focused, and high-quality.</p>
+</p>
 
     <p class="ablog-post-expand">
       <a href="../../posts/fundraiser.html"><em>Read more ...</em></a>

_preview/454/index.html

@@ -231,7 +231,7 @@
 <h1 class="display-1">Project Pythia<a class="headerlink" href="#project-pythia" title="Link to this heading"><i class="fas fa-link"></i></a></h1>
 <p><span style="font-size: 2.6rem;">An education and training hub for the geoscientific Python community</span></p>
 <a class="btn btn-light btn-lg" href="posts/fundraiser.html" role="button" style="display: flex; align-items: center; font-weight: 600; text-decoration: none; background-color: #ccc; border: rgba(var(--spt-color-dark), 1);">
-         Donate to Project Pythia!
+         Donate to support Project Pythia!
  </a>
 <p><a class="reference internal" href="about.html"><span class="doc std std-doc">Project Pythia</span></a> is the education working group for <a class="reference external" href="https://pangeo.io">Pangeo</a>
 and is an educational resource for the entire geoscience community.

_preview/454/objects.inv

@@ -2,5 +2,7 @@
 # Project: Project Pythia
 # Version: 
 # The remainder of this file is compressed using zlib.
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-+� �hQ�����g��A�̡�*Yf;�	n>�D_}�
+xڝR�N�0���`�҉�T+ǾIL���v�n��Ǘ`�	�Ӓ�Q�s��*>4�J��5GF�KB-p��eAn��T�+0�^�\�()0������+b�a��a�+8wFNtg@��yנїZ��Ң�B�w�p/k�(�?��T����Eb�8���П��8���tx1���
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+a�S���W�a�$o��Ҫ�
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�YG��۟��N�h�w�{��*���Y��J2�3Z ��FݙsynP2qh��J���s���Oi�?O

_preview/454/posts/cookoff2023.html

@@ -409,7 +409,7 @@ <h1>Pythia Cookbook Cook-Off Hackathon 2023<a class="headerlink" href="#pythia-c
 
       <i class="fa fa-arrow-circle-left"></i>
 
-      <span>Donate to Project Pythia!</span>
+      <span>Donate to Support Project Pythia!</span>
     </a>
 
   </span>