deploy: ba0b8fc

Author: jukent

_images/bycountry.png

@@ -1,12 +1,12 @@
 # Metrics 
 
-Last Updated: 2024-08-12 00:42:07.151339
+Last Updated: 2024-08-26 00:41:23.291923
 
 | Project | Users |
 | ----- | ----- |
-| Portal | 15.2K |
-| Foundations | 58.7K |
-| Cookbooks | 12.3K |
+| Portal | 15.4K |
+| Foundations | 59.3K |
+| Cookbooks | 12.6K |
 
 ![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:ltauxe@ucsd.edu">Lisa Tauxe</a>, <a href="mailto:hasefaw@ucsd.edu">Hanna Asefaw</a>, <a href="mailto:[email protected]">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:hasefaw@ucsd.edu">Hanna Asefaw</a>, <a href="mailto:ltauxe@ucsd.edu">Lisa Tauxe</a>, <a href="mailto:[email protected]">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>
 </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>
@@ -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> 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>.
 </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> 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>.
 </p>
 </div>
@@ -2023,7 +2023,7 @@ 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> Project Pythia, Michaela Sizemore<br/><strong>Affiliation:</strong> <a href="https://ncar.ucar.edu/">NCAR</a></p>
+<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="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>
@@ -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, Drew Camron, 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 `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> 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>
@@ -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> 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>
@@ -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> 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>
@@ -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> 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>
@@ -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> 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>.
 </p>
 </div>

_images/toppages.png

@@ -67,7 +67,7 @@
     <link rel="prev" title="Project Pythia" href="index.html" /> 
   <meta name="viewport" content="width=device-width, initial-scale=1"/>
   <meta name="docsearch:language" content="en"/>
-    <meta name="docbuild:last-update" content="12 August 2024"/>   
+    <meta name="docbuild:last-update" content="26 August 2024"/>   
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@@ -822,7 +822,7 @@ <h2>Presentations about Project Pythia<a class="headerlink" href="#presentations
 
   <div class="footer-item">
     <p class="last-updated">
-  Last updated on 12 August 2024.
+  Last updated on 26 August 2024.
   <br/>
 </p>
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@@ -909,7 +909,7 @@ <h1>Contribute</h1>
 
           By the <a href="https://projectpythia.org/">Project Pythia</a> Community.
 
-          Last updated on 12 August 2024.
+          Last updated on 26 August 2024.
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_sources/metrics.md

@@ -64,7 +64,7 @@
     <link rel="search" title="Search" href="search.html" /> 
   <meta name="viewport" content="width=device-width, initial-scale=1"/>
   <meta name="docsearch:language" content="en"/>
-    <meta name="docbuild:last-update" content="12 August 2024"/> 
+    <meta name="docbuild:last-update" content="26 August 2024"/> 
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@@ -659,7 +659,7 @@ <h2 class="ablog-post-title">
 
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-  Last updated on 12 August 2024.
+  Last updated on 26 August 2024.
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 </p>
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@@ -746,7 +746,7 @@ <h1>Contribute</h1>
 
           By the <a href="https://projectpythia.org/">Project Pythia</a> Community.
 
-          Last updated on 12 August 2024.
+          Last updated on 26 August 2024.
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_sources/resource-gallery.md

@@ -64,7 +64,7 @@
     <link rel="search" title="Search" href="../search.html" /> 
   <meta name="viewport" content="width=device-width, initial-scale=1"/>
   <meta name="docsearch:language" content="en"/>
-    <meta name="docbuild:last-update" content="12 August 2024"/> 
+    <meta name="docbuild:last-update" content="26 August 2024"/> 
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@@ -613,7 +613,7 @@ <h2 class="ablog-post-title">
 
   <div class="footer-item">
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-  Last updated on 12 August 2024.
+  Last updated on 26 August 2024.
   <br/>
 </p>
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@@ -700,7 +700,7 @@ <h1>Contribute</h1>
 
           By the <a href="https://projectpythia.org/">Project Pythia</a> Community.
 
-          Last updated on 12 August 2024.
+          Last updated on 26 August 2024.
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about.html

@@ -64,7 +64,7 @@
     <link rel="search" title="Search" href="../search.html" /> 
   <meta name="viewport" content="width=device-width, initial-scale=1"/>
   <meta name="docsearch:language" content="en"/>
-    <meta name="docbuild:last-update" content="12 August 2024"/> 
+    <meta name="docbuild:last-update" content="26 August 2024"/> 
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   rel="alternate"
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@@ -565,7 +565,7 @@ <h2 class="ablog-post-title">
 
   <div class="footer-item">
     <p class="last-updated">
-  Last updated on 12 August 2024.
+  Last updated on 26 August 2024.
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 </p>
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@@ -652,7 +652,7 @@ <h1>Contribute</h1>
 
           By the <a href="https://projectpythia.org/">Project Pythia</a> Community.
 
-          Last updated on 12 August 2024.
+          Last updated on 26 August 2024.
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blog.html

@@ -64,7 +64,7 @@
     <link rel="search" title="Search" href="../search.html" /> 
   <meta name="viewport" content="width=device-width, initial-scale=1"/>
   <meta name="docsearch:language" content="en"/>
-    <meta name="docbuild:last-update" content="12 August 2024"/>   
+    <meta name="docbuild:last-update" content="26 August 2024"/>   
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@@ -547,7 +547,7 @@ <h2>
 
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-  Last updated on 12 August 2024.
+  Last updated on 26 August 2024.
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 </p>
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@@ -634,7 +634,7 @@ <h1>Contribute</h1>
 
           By the <a href="https://projectpythia.org/">Project Pythia</a> Community.
 
-          Last updated on 12 August 2024.
+          Last updated on 26 August 2024.
         </p>
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