deploy: 46eb5ae

Author: jukent

_images/bycountry.png

@@ -1,12 +1,12 @@
 # Metrics 
 
-Last Updated: 2024-06-24 00:54:36.013933
+Last Updated: 2024-07-01 00:59:27.155940
 
 | Project | Users |
 | ----- | ----- |
-| Portal | 14.6K |
-| Foundations | 56.0K |
-| Cookbooks | 10.8K |
+| Portal | 14.7K |
+| Foundations | 56.4K |
+| Cookbooks | 11.2K |
 
 ![Users this Year](metrics/thisyear.png)
 

_images/thisyear.png

@@ -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> Ryan Abernathey, Kerry Key<br/><strong>Affiliation:</strong> Lamont-Doherty Earth Observatory</p>
+<p class="card-subtitle"><strong>Author:</strong> Kerry Key, Ryan Abernathey<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> Ryan Abernathey, Kerry Key
+<strong>Author:</strong> Kerry Key, Ryan Abernathey
 <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:bcych@ucsd.edu">Brendan Cych</a>, <a href="mailto:hasefaw@ucsd.edu">Hanna Asefaw</a>, <a href="mailto:[email protected]">Lisa Tauxe</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:bcych@ucsd.edu">Brendan Cych</a>, <a href="mailto:[email protected]">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>
@@ -1939,7 +1939,7 @@ Xarray is inspired by and borrows heavily from pandas, the popular data analysis
 <img src="_static/thumbnails/ptss-numpy.jpeg" class="gallery-thumbnail" />
 <div class="container">
 <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> A Kootz, Project Pythia<br/><strong>Affiliation:</strong> <a href="https://ncar.ucar.edu/">NCAR</a></p>
+<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="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>.
 </p>
 </div>
@@ -1996,7 +1996,7 @@ Xarray is inspired by and borrows heavily from pandas, the popular data analysis
 <img src="_static/thumbnails/ptss-oop.jpeg" class="gallery-thumbnail" />
 <div class="container">
 <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> A Kootz, Project Pythia<br/><strong>Affiliation:</strong> <a href="https://ncar.ucar.edu/">NCAR</a></p>
+<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="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>.
 </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>
@@ -2250,7 +2250,7 @@ Xarray is inspired by and borrows heavily from pandas, the popular data analysis
 <img src="_static/thumbnails/ptss-geocatcomp.jpeg" class="gallery-thumbnail" />
 <div class="container">
 <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> A Kootz, Project Pythia<br/><strong>Affiliation:</strong> <a href="https://ncar.ucar.edu/">NCAR</a></p>
+<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="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>.
 </p>
 </div>

_images/toppages.png

@@ -4,28 +4,28 @@
 -->
 {# Load FontAwesome icons #}
 {% macro head_pre_icons() %}
-  <link href="{{ pathto('_static/vendor/fontawesome/6.5.2/css/all.min.css', 1) }}?digest=3ee479438cf8b5e0d341" rel="stylesheet" />
+  <link href="{{ pathto('_static/vendor/fontawesome/6.5.2/css/all.min.css', 1) }}?digest=dfe6caa3a7d634c4db9b" rel="stylesheet" />
   <link rel="preload" as="font" type="font/woff2" crossorigin href="{{ pathto('_static/vendor/fontawesome/6.5.2/webfonts/fa-solid-900.woff2', 1) }}" />
 <link rel="preload" as="font" type="font/woff2" crossorigin href="{{ pathto('_static/vendor/fontawesome/6.5.2/webfonts/fa-brands-400.woff2', 1) }}" />
 <link rel="preload" as="font" type="font/woff2" crossorigin href="{{ pathto('_static/vendor/fontawesome/6.5.2/webfonts/fa-regular-400.woff2', 1) }}" />
 {% endmacro %}
 
 {% macro head_pre_assets() %}
   <!-- Loaded before other Sphinx assets -->
-  <link href="{{ pathto('_static/styles/theme.css', 1) }}?digest=3ee479438cf8b5e0d341" rel="stylesheet" />
-<link href="{{ pathto('_static/styles/bootstrap.css', 1) }}?digest=3ee479438cf8b5e0d341" rel="stylesheet" />
-<link href="{{ pathto('_static/styles/pydata-sphinx-theme.css', 1) }}?digest=3ee479438cf8b5e0d341" rel="stylesheet" />
+  <link href="{{ pathto('_static/styles/theme.css', 1) }}?digest=dfe6caa3a7d634c4db9b" rel="stylesheet" />
+<link href="{{ pathto('_static/styles/bootstrap.css', 1) }}?digest=dfe6caa3a7d634c4db9b" rel="stylesheet" />
+<link href="{{ pathto('_static/styles/pydata-sphinx-theme.css', 1) }}?digest=dfe6caa3a7d634c4db9b" rel="stylesheet" />
 {% endmacro %}
 
 {% macro head_js_preload() %}
   <!-- Pre-loaded scripts that we'll load fully later -->
-  <link rel="preload" as="script" href="{{ pathto('_static/scripts/bootstrap.js', 1) }}?digest=3ee479438cf8b5e0d341" />
-<link rel="preload" as="script" href="{{ pathto('_static/scripts/pydata-sphinx-theme.js', 1) }}?digest=3ee479438cf8b5e0d341" />
-  <script src="{{ pathto('_static/vendor/fontawesome/6.5.2/js/all.min.js', 1) }}?digest=3ee479438cf8b5e0d341"></script>
+  <link rel="preload" as="script" href="{{ pathto('_static/scripts/bootstrap.js', 1) }}?digest=dfe6caa3a7d634c4db9b" />
+<link rel="preload" as="script" href="{{ pathto('_static/scripts/pydata-sphinx-theme.js', 1) }}?digest=dfe6caa3a7d634c4db9b" />
+  <script src="{{ pathto('_static/vendor/fontawesome/6.5.2/js/all.min.js', 1) }}?digest=dfe6caa3a7d634c4db9b"></script>
 {% endmacro %}
 
 {% macro body_post() %}
   <!-- Scripts loaded after <body> so the DOM is not blocked -->
-  <script src="{{ pathto('_static/scripts/bootstrap.js', 1) }}?digest=3ee479438cf8b5e0d341"></script>
-<script src="{{ pathto('_static/scripts/pydata-sphinx-theme.js', 1) }}?digest=3ee479438cf8b5e0d341"></script>
+  <script src="{{ pathto('_static/scripts/bootstrap.js', 1) }}?digest=dfe6caa3a7d634c4db9b"></script>
+<script src="{{ pathto('_static/scripts/pydata-sphinx-theme.js', 1) }}?digest=dfe6caa3a7d634c4db9b"></script>
 {% endmacro %}