Deploying to gh-pages from @ 5ca1254 🚀

Author: brian-rose

_preview/484/_sources/posts/new-cookbooks.md

@@ -175,7 +175,7 @@ This Cookbook covers how to work with wavelets in Python. Wavelets are a powerfu
     - 30% women
     - 11% other
 - Number of individual project breakout groups: 9
-- New cookbooks published to the [Pythia Gallery](https://cookbooks.projectpythia.org): 4 _(as of this writing)_
+- New cookbooks published to the [Pythia Gallery](https://cookbooks.projectpythia.org): 5 _(as of this writing)_
 - Heavily revised cookbooks: 2
 
 ## Want to get involved?

_preview/484/_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.
@@ -1478,7 +1478,7 @@ 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:ltauxe@ucsd.edu">Lisa Tauxe</a>, <a href="mailto:[email protected]">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:[email protected]">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>
@@ -1923,7 +1923,7 @@ Xarray is inspired by and borrows heavily from pandas, the popular data analysis
 <img src="_static/thumbnails/ptss-cartopy.jpeg" class="gallery-thumbnail" />
 <div class="container">
 <a href="https://youtu.be/ivmd3RluMiw" class="text-decoration-none"><h4 class="display-4 p-0">Python Tutorial Seminar Series - Cartopy</h4></a>
-<p class="card-subtitle"><strong>Author:</strong> Michaela Sizemore, Project Pythia<br/><strong>Affiliation:</strong> <a href="https://ncar.ucar.edu/">NCAR</a></p>
+<p class="card-subtitle"><strong>Author:</strong> Project Pythia, Michaela Sizemore<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 `cartopy`. The content to follow along with this video is hosted in this <A href="https://github.com/michaelavs/cartopy_tutorial">Cartopy Tutorial GitHub Repository</A>.
 </p>
 </div>
@@ -1981,7 +1981,7 @@ 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> Project Pythia, Max Grover, Drew Camron<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>
@@ -2009,7 +2009,7 @@ 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> Project Pythia, Anderson Banihirwe<br/><strong>Affiliation:</strong> <a href="https://ncar.ucar.edu/">NCAR</a></p>
+<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="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>
@@ -2037,7 +2037,7 @@ 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> Project Pythia, Anderson Banihirwe<br/><strong>Affiliation:</strong> <a href="https://ncar.ucar.edu/">NCAR</a></p>
+<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="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>
@@ -2065,7 +2065,7 @@ 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> Project Pythia, Anderson Banihirwe<br/><strong>Affiliation:</strong> <a href="https://ncar.ucar.edu/">NCAR</a></p>
+<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="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>
@@ -2093,7 +2093,7 @@ 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> Project Pythia, Anderson Banihirwe<br/><strong>Affiliation:</strong> <a href="https://ncar.ucar.edu/">NCAR</a></p>
+<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="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/484/posts/new-cookbooks.html

@@ -539,7 +539,7 @@ <h3>By the numbers<a class="headerlink" href="#by-the-numbers" title="Link to th
 </ul>
 </li>
 <li><p>Number of individual project breakout groups: 9</p></li>
-<li><p>New cookbooks published to the <a class="reference external" href="https://cookbooks.projectpythia.org">Pythia Gallery</a>: 4 <em>(as of this writing)</em></p></li>
+<li><p>New cookbooks published to the <a class="reference external" href="https://cookbooks.projectpythia.org">Pythia Gallery</a>: 5 <em>(as of this writing)</em></p></li>
 <li><p>Heavily revised cookbooks: 2</p></li>
 </ul>
 </section>

_preview/484/resource-gallery.html

@@ -359,15 +359,15 @@ <h3 class="display-3">Unidata Python Training</h3>
 <img class="gallery-thumbnail" src="_static/thumbnails/earth_env_data_science.png"/>
 <div class="container">
 <a class="text-decoration-none" href="https://earth-env-data-science.github.io/intro"><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>
 <div class="modal">
 <div class="content">
 <img class="modal-img" src="_static/thumbnails/earth_env_data_science.png"/>
 <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.
@@ -1380,7 +1380,7 @@ <h3 class="display-3">Xarray</h3>
 <img class="gallery-thumbnail" src="_static/images/ebp-logo.png"/>
 <div class="container">
 <a class="text-decoration-none" href="https://nbviewer.jupyter.org/github/ltauxe/Python-for-Earth-Science-Students/tree/master/"><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:[email protected]">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:[email protected]">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>
@@ -1740,7 +1740,7 @@ <h3 class="display-3">Python for Atmosphere and Ocean Science</h3>
 <img class="gallery-thumbnail" src="_static/thumbnails/ptss-cartopy.jpeg"/>
 <div class="container">
 <a class="text-decoration-none" href="https://youtu.be/ivmd3RluMiw"><h4 class="display-4 p-0">Python Tutorial Seminar Series - Cartopy</h4></a>
-<p class="card-subtitle"><strong>Author:</strong> Michaela Sizemore, Project Pythia<br/><strong>Affiliation:</strong> <a href="https://ncar.ucar.edu/">NCAR</a></p>
+<p class="card-subtitle"><strong>Author:</strong> Project Pythia, Michaela Sizemore<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 `cartopy`. The content to follow along with this video is hosted in this <a href="https://github.com/michaelavs/cartopy_tutorial">Cartopy Tutorial GitHub Repository</a>.
 </p>
 </div>
@@ -1786,7 +1786,7 @@ <h3 class="display-3">Python for Atmosphere and Ocean Science</h3>
 <img class="gallery-thumbnail" src="_static/thumbnails/ptss-pandas.jpeg"/>
 <div class="container">
 <a class="text-decoration-none" href="https://youtu.be/BsV3ek7qsiM"><h4 class="display-4 p-0">Python Tutorial Seminar Series - Pandas</h4></a>
-<p class="card-subtitle"><strong>Author:</strong> Project Pythia, Max Grover, Drew Camron<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>
@@ -1808,7 +1808,7 @@ <h3 class="display-3">Python for Atmosphere and Ocean Science</h3>
 <img class="gallery-thumbnail" src="_static/thumbnails/ptss-xarray1.jpeg"/>
 <div class="container">
 <a class="text-decoration-none" href="https://youtu.be/Ss4ryKukhi4"><h4 class="display-4 p-0">Python Tutorial Seminar Series - Xarray Part 1</h4></a>
-<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="card-subtitle"><strong>Author:</strong> Anderson Banihirwe, 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 `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>
@@ -1830,7 +1830,7 @@ <h3 class="display-3">Python for Atmosphere and Ocean Science</h3>
 <img class="gallery-thumbnail" src="_static/thumbnails/ptss-xarray2.jpeg"/>
 <div class="container">
 <a class="text-decoration-none" href="https://youtu.be/2H_4drBwORY"><h4 class="display-4 p-0">Python Tutorial Seminar Series - Xarray Part 2</h4></a>
-<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="card-subtitle"><strong>Author:</strong> Anderson Banihirwe, 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 `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>
@@ -1852,7 +1852,7 @@ <h3 class="display-3">Python for Atmosphere and Ocean Science</h3>
 <img class="gallery-thumbnail" src="_static/thumbnails/ptss-dask1.jpeg"/>
 <div class="container">
 <a class="text-decoration-none" href="https://youtu.be/wn-QM6QUB_U"><h4 class="display-4 p-0">Python Tutorial Seminar Series - Dask Part 1</h4></a>
-<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="card-subtitle"><strong>Author:</strong> Anderson Banihirwe, 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 `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>
@@ -1874,7 +1874,7 @@ <h3 class="display-3">Python for Atmosphere and Ocean Science</h3>
 <img class="gallery-thumbnail" src="_static/thumbnails/ptss-dask2.jpeg"/>
 <div class="container">
 <a class="text-decoration-none" href="https://youtu.be/yn4_-1pHC5k"><h4 class="display-4 p-0">Python Tutorial Seminar Series - Dask Part 2</h4></a>
-<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="card-subtitle"><strong>Author:</strong> Anderson Banihirwe, 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 `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>