Deploying to gh-pages from @ ed3e205 🚀

Author: ktyle

_images/bycountry.png

@@ -1,6 +1,6 @@
 # Metrics 
 
-Last Updated: 2025-06-02 01:16:23.391676
+Last Updated: 2025-06-03 15:52:51.356682
 
 This metrics page provides an overview of user activity collected by Google Analytics across the three pillars of Project Pythia: our portal which includes information about the project as well as our resource gallery, our Foundations book, and our Cookbooks gallery. Information is either all-time (from a pre-project start date of March 2020) or year-to-date as indicated and is updated nightly to provide real-time and automated insights into our engagement, impact, and audience reach. If you would like to request a different metrics analysis, timeframe, or view, please [open a GitHub issue](https://github.com/ProjectPythia/projectpythia.github.io/issues/new/choose).
 
@@ -11,8 +11,8 @@ This table displays the total active users of our 3 Pythia projects over the lif
 | Project | All-Time Users |
 | ----- | ----- |
 | Portal | 19.6K |
-| Foundations | 77.6K |
-| Cookbooks | 24.0K |
+| Foundations | 77.7K |
+| Cookbooks | 24.2K |
 
 ## Chart of Active Users by Project Since Year Start
 

_images/thisyear.png

@@ -1,13 +1,13 @@
 ---
 blogpost: true
-date: Feb 20, 2025
-author: Julia Kent
+date: Jun 03, 2025
+author: Kevin Tyle
 tags: cook-off
 ---
 
-# Save the date for the 2025 Cook-off hackathon!
+# Register now for the 2025 Cook-off hackathon!
 
 The 2025 Pythia Cookbook Cook-Off Hackathon will take place August
 5-8, at the NCAR Mesa Lab, located in Boulder, Colorado.
 
-[The website for the event is live](https://projectpythia.org/pythia-cookoff-2025/). Registration is not open at this time.
+[The website for the event is live](https://projectpythia.org/pythia-cookoff-2025/). Registration is now open!

_images/toppages.png

@@ -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:hasefaw@ucsd.edu">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="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: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>
 </div>
 </div>
@@ -1671,7 +1671,7 @@ Xarray is inspired by and borrows heavily from pandas, the popular data analysis
 <img src="_static/thumbnails/ptss-txtfile.jpeg" class="gallery-thumbnail" />
 <div class="container">
 <a href="https://youtu.be/Jog7ybd6amw" class="text-decoration-none"><h4 class="display-4 p-0">Your First Python Tutorial - Reading in a .txt File</h4></a>
-<p class="card-subtitle"><strong>Author:</strong> Project Pythia, Julia Kent<br/><strong>Affiliation:</strong> <a href="https://ncar.ucar.edu/">NCAR</a></p>
+<p class="card-subtitle"><strong>Author:</strong> Julia Kent, 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 designed to teach you Python, not package specific syntax. This lessons covers setting up a work environment and opening a .txt file. The content to follow along with this video is hosted on the <A href="https://ncar.github.io/python-tutorial/tutorials/yourfirst.html">Xdev Python Tutorial website</A>.
 </p>
 </div>
@@ -1699,7 +1699,7 @@ Xarray is inspired by and borrows heavily from pandas, the popular data analysis
 <img src="_static/thumbnails/ptss-datadict.jpeg" class="gallery-thumbnail" />
 <div class="container">
 <a href="https://youtu.be/5z6-t62x7Xs" class="text-decoration-none"><h4 class="display-4 p-0">Your First Python Tutorial - Creating a Data Dictionary</h4></a>
-<p class="card-subtitle"><strong>Author:</strong> Project Pythia, Julia Kent<br/><strong>Affiliation:</strong> <a href="https://ncar.ucar.edu/">NCAR</a></p>
+<p class="card-subtitle"><strong>Author:</strong> Julia Kent, 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 designed to teach you Python, not package specific syntax. This lessons covers creating a data dictionary. The content to follow along with this video is hosted on the <A href="https://ncar.github.io/python-tutorial/tutorials/yourfirst.html#creating-a-data-dictionary">Xdev Python Tutorial website</A>.
 </p>
 </div>
@@ -1727,7 +1727,7 @@ Xarray is inspired by and borrows heavily from pandas, the popular data analysis
 <img src="_static/thumbnails/ptss-writingfx.jpeg" class="gallery-thumbnail" />
 <div class="container">
 <a href="https://youtu.be/BerEf_3CsL8" class="text-decoration-none"><h4 class="display-4 p-0">Your First Python Tutorial - Writing Functions</h4></a>
-<p class="card-subtitle"><strong>Author:</strong> Project Pythia, Julia Kent<br/><strong>Affiliation:</strong> <a href="https://ncar.ucar.edu/">NCAR</a></p>
+<p class="card-subtitle"><strong>Author:</strong> Julia Kent, 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 designed to teach you Python, not package specific syntax. This lessons covers how to write and call functions in Python. The content to follow along with this video is hosted on the <A href ="https://ncar.github.io/python-tutorial/tutorials/yourfirst.html#writing-functions">Xdev Python Tutorial website</A>.
 </p>
 </div>
@@ -1755,7 +1755,7 @@ Xarray is inspired by and borrows heavily from pandas, the popular data analysis
 <img src="_static/thumbnails/ptss-firstpackage.jpeg" class="gallery-thumbnail" />
 <div class="container">
 <a href="https://youtu.be/6lbbTwGFcTc" class="text-decoration-none"><h4 class="display-4 p-0">Your First Python Tutorial - Creating Your Own Package</h4></a>
-<p class="card-subtitle"><strong>Author:</strong> Project Pythia, Julia Kent<br/><strong>Affiliation:</strong> <a href="https://ncar.ucar.edu/">NCAR</a></p>
+<p class="card-subtitle"><strong>Author:</strong> Julia Kent, 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 designed to teach you Python, not package specific syntax. This lessons covers how to create and call modules and packages. The content to follow along with this video is hosted on the <A href="https://ncar.github.io/python-tutorial/tutorials/yourfirst.html#first-python-package">Xdev Python Tutorial website</A>.
 </p>
 </div>
@@ -1783,7 +1783,7 @@ Xarray is inspired by and borrows heavily from pandas, the popular data analysis
 <img src="_static/thumbnails/ptss-builtinpackage.jpeg" class="gallery-thumbnail" />
 <div class="container">
 <a href="https://youtu.be/44QUMCh2ZHU" class="text-decoration-none"><h4 class="display-4 p-0">Your First Python Tutorial - Using a Built-In Package and Publishing Your Package</h4></a>
-<p class="card-subtitle"><strong>Author:</strong> Project Pythia, Julia Kent<br/><strong>Affiliation:</strong> <a href="https://ncar.ucar.edu/">NCAR</a></p>
+<p class="card-subtitle"><strong>Author:</strong> Julia Kent, 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 designed to teach you Python, not package specific syntax. This lessons covers how to use your first external buil-in package, `math`, and how to publish your package. The content to follow along with this video is hosted on the <A href="https://ncar.github.io/python-tutorial/tutorials/yourfirst.html#using-a-built-in-package">Xdev Python Tutorial website</A>.
 </p>
 </div>
@@ -1811,7 +1811,7 @@ 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>
@@ -1953,7 +1953,7 @@ 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>
@@ -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> 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> 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>
@@ -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> 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>
@@ -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> 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>
@@ -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> 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>
@@ -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> 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>

_sources/metrics.md

@@ -70,7 +70,7 @@
     <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="2 June 2025"/>   
+    <meta name="docbuild:last-update" content="3 June 2025"/>   
   </head>
 
 
@@ -832,7 +832,7 @@ <h2>Presentations about Project Pythia<a class="headerlink" href="#presentations
 
   <div class="footer-item">
     <p class="last-updated">
-  Last updated on 2 June 2025.
+  Last updated on 3 June 2025.
   <br/>
 </p>
   </div>
@@ -919,7 +919,7 @@ <h1>Contribute</h1>
 
           By the <a href="https://projectpythia.org/">Project Pythia</a> Community.
 
-          Last updated on 2 June 2025.
+          Last updated on 3 June 2025.
         </p>
       </div>
     </div>

_sources/posts/cookoff2025-website.md

@@ -67,7 +67,7 @@
     <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="2 June 2025"/> 
+    <meta name="docbuild:last-update" content="3 June 2025"/> 
 <link
   rel="alternate"
   type="application/atom+xml"
@@ -409,14 +409,14 @@ <h1>
 
   <div class="section ablog-post">
     <h2 class="ablog-post-title">
-      <a href="posts/cookoff2025-website.html">Save the date for the 2025 Cook-off hackathon!</a>
+      <a href="posts/cookoff2025-website.html">Register now for the 2025 Cook-off hackathon!</a>
     </h2>
     <ul class="ablog-archive">
       <li>
 
         <i class="fa fa-calendar"></i>
 
-        <span>20 February 2025</span>
+        <span>03 June 2025</span>
 
       </li>
       <div class="ablog-sidebar-item ablog__postcard2">
@@ -428,7 +428,7 @@ <h2 class="ablog-post-title">
 
     </span>
 
-    <a href="blog/author/julia-kent.html">Julia Kent</a>
+    <a href="blog/author/kevin-tyle.html">Kevin Tyle</a>
 
   </li>
 
@@ -854,7 +854,7 @@ <h2 class="ablog-post-title">
 
   <div class="footer-item">
     <p class="last-updated">
-  Last updated on 2 June 2025.
+  Last updated on 3 June 2025.
   <br/>
 </p>
   </div>
@@ -941,7 +941,7 @@ <h1>Contribute</h1>
 
           By the <a href="https://projectpythia.org/">Project Pythia</a> Community.
 
-          Last updated on 2 June 2025.
+          Last updated on 3 June 2025.
         </p>
       </div>
     </div>

_sources/resource-gallery.md

@@ -67,7 +67,7 @@
     <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="2 June 2025"/> 
+    <meta name="docbuild:last-update" content="3 June 2025"/> 
 <link
   rel="alternate"
   type="application/atom+xml"
@@ -664,7 +664,7 @@ <h2 class="ablog-post-title">
 
   <div class="footer-item">
     <p class="last-updated">
-  Last updated on 2 June 2025.
+  Last updated on 3 June 2025.
   <br/>
 </p>
   </div>
@@ -751,7 +751,7 @@ <h1>Contribute</h1>
 
           By the <a href="https://projectpythia.org/">Project Pythia</a> Community.
 
-          Last updated on 2 June 2025.
+          Last updated on 3 June 2025.
         </p>
       </div>
     </div>

about.html

@@ -67,7 +67,7 @@
     <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="2 June 2025"/> 
+    <meta name="docbuild:last-update" content="3 June 2025"/> 
 <link
   rel="alternate"
   type="application/atom+xml"
@@ -569,7 +569,7 @@ <h2 class="ablog-post-title">
 
   <div class="footer-item">
     <p class="last-updated">
-  Last updated on 2 June 2025.
+  Last updated on 3 June 2025.
   <br/>
 </p>
   </div>
@@ -656,7 +656,7 @@ <h1>Contribute</h1>
 
           By the <a href="https://projectpythia.org/">Project Pythia</a> Community.
 
-          Last updated on 2 June 2025.
+          Last updated on 3 June 2025.
         </p>
       </div>
     </div>