deploy: 1b204ac

Author: jukent

_preview/407/_sources/resource-gallery.md.txt

@@ -1317,7 +1317,7 @@ Xarray is inspired by and borrows heavily from pandas, the popular data analysis
 <img src="/_static/images/ebp-logo.png" class="gallery-thumbnail" />
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 <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:ltauxe@ucsd.edu">Lisa Tauxe</a>, <a href="mailto:bcych@ucsd.edu">Brendan Cych</a>, <a href="mailto:hasefaw@ucsd.edu">Hanna Asefaw</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:hasefaw@ucsd.edu">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="my-2">Python Programming for Earth Science Students</p>
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@@ -1600,7 +1600,7 @@ Xarray is inspired by and borrows heavily from pandas, the popular data analysis
 <img src="/_static/thumbnails/ptss-jupyter.jpeg" class="gallery-thumbnail" />
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 <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> Kevin Paul, Project Pythia<br/><strong>Affiliation:</strong> <a href="https://ncar.ucar.edu/">NCAR</a></p>
+<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="my-2">Recording from the Python Tutorial Seminar Series introducing JupyterLab and Jupyter Notebooks.
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@@ -1623,7 +1623,7 @@ Xarray is inspired by and borrows heavily from pandas, the popular data analysis
 <img src="/_static/thumbnails/ptss-numpy.jpeg" class="gallery-thumbnail" />
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 <a href="https://youtu.be/kstc-6uz7AQ" class="text-decoration-none"><h4 class="display-4 p-0">Python Tutorial Seminar Series - Numpy</h4></a>
-<p class="card-subtitle"><strong>Author:</strong> Project Pythia, A Kootz<br/><strong>Affiliation:</strong> <a href="https://ncar.ucar.edu/">NCAR</a></p>
+<p class="card-subtitle"><strong>Author:</strong> A Kootz, 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 Python Package `numpy`. The content to follow along with this video is hosted on this <A href="https://colab.research.google.com/drive/1zcjaGXofLzUXkQzJKnANE9Z3yFUt0q7E?">Numpy Google Collab</A>.
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@@ -1670,7 +1670,7 @@ Xarray is inspired by and borrows heavily from pandas, the popular data analysis
 <img src="/_static/thumbnails/ptss-oop.jpeg" class="gallery-thumbnail" />
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 <a href="https://youtu.be/GEFnL8C62u8" class="text-decoration-none"><h4 class="display-4 p-0">Python Tutorial Seminar Series - Object Oriented Programming</h4></a>
-<p class="card-subtitle"><strong>Author:</strong> Project Pythia, A Kootz<br/><strong>Affiliation:</strong> <a href="https://ncar.ucar.edu/">NCAR</a></p>
+<p class="card-subtitle"><strong>Author:</strong> A Kootz, 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 Object Oriented Programming. The content to follow along with this video is hosted in this <A href="https://github.com/pilotchute/oop_hrrr_tutorial">Object Oriented Programming Tutorial GitHub Repository</A>.
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@@ -1717,7 +1717,7 @@ Xarray is inspired by and borrows heavily from pandas, the popular data analysis
 <img src="/_static/thumbnails/ptss-git.png" class="gallery-thumbnail" />
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 <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> Kevin Paul, Project Pythia<br/><strong>Affiliation:</strong> <a href="https://ncar.ucar.edu/">NCAR</a></p>
+<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="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>.
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@@ -1740,7 +1740,7 @@ Xarray is inspired by and borrows heavily from pandas, the popular data analysis
 <img src="/_static/thumbnails/ptss-pandas.jpeg" class="gallery-thumbnail" />
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 <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, Project Pythia, Max Grover<br/><strong>Affiliation:</strong> <a href="https://ncar.ucar.edu/">NCAR</a></p>
+<p class="card-subtitle"><strong>Author:</strong> Project Pythia, Drew Camron, Max Grover<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>.
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@@ -1763,7 +1763,7 @@ Xarray is inspired by and borrows heavily from pandas, the popular data analysis
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 <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>.
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@@ -1786,7 +1786,7 @@ Xarray is inspired by and borrows heavily from pandas, the popular data analysis
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 <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>.
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@@ -1809,7 +1809,7 @@ Xarray is inspired by and borrows heavily from pandas, the popular data analysis
 <img src="/_static/thumbnails/ptss-dask1.jpeg" class="gallery-thumbnail" />
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 <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>.
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@@ -1832,7 +1832,7 @@ 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>.
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@@ -1879,7 +1879,7 @@ Xarray is inspired by and borrows heavily from pandas, the popular data analysis
 <img src="/_static/thumbnails/ptss-geocatcomp.jpeg" class="gallery-thumbnail" />
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 <a href="https://www.youtube.com/watch?v=uiWDQKI8YTQ&t=6s" class="text-decoration-none"><h4 class="display-4 p-0">Python Tutorial Seminar Series - GeoCAT-Comp</h4></a>
-<p class="card-subtitle"><strong>Author:</strong> Project Pythia, A Kootz<br/><strong>Affiliation:</strong> <a href="https://ncar.ucar.edu/">NCAR</a></p>
+<p class="card-subtitle"><strong>Author:</strong> A Kootz, 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 `geocat-comp`. The content to follow along with this video is hosted in this <A href="https://github.com/pilotchute/geocat_comp_tutorial">GeoCat-Comp GitHub Repository</A>.
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