Deploying to gh-pages from @ 0f11a46 🚀

Author: brian-rose

_images/bycountry.png

@@ -1,6 +1,6 @@
 # Metrics 
 
-Last Updated: 2025-06-09 01:17:57.770513
+Last Updated: 2025-06-09 20:51:04.135747
 
 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).
 
@@ -12,7 +12,7 @@ This table displays the total active users of our 3 Pythia projects over the lif
 | ----- | ----- |
 | Portal | 19.7K |
 | Foundations | 78.1K |
-| Cookbooks | 24.7K |
+| Cookbooks | 24.8K |
 
 ## Chart of Active Users by Project Since Year Start
 

_images/thisyear.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:bcych@ucsd.edu">Brendan Cych</a>, <a href="mailto:[email protected]">Lisa Tauxe</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]">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>
 </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> Julia Kent, Project Pythia<br/><strong>Affiliation:</strong> <a href="https://ncar.ucar.edu/">NCAR</a></p>
+<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="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> Julia Kent, Project Pythia<br/><strong>Affiliation:</strong> <a href="https://ncar.ucar.edu/">NCAR</a></p>
+<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="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> Julia Kent, Project Pythia<br/><strong>Affiliation:</strong> <a href="https://ncar.ucar.edu/">NCAR</a></p>
+<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="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> Julia Kent, Project Pythia<br/><strong>Affiliation:</strong> <a href="https://ncar.ucar.edu/">NCAR</a></p>
+<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="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> Julia Kent, Project Pythia<br/><strong>Affiliation:</strong> <a href="https://ncar.ucar.edu/">NCAR</a></p>
+<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="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> 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.
 </p>
 </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>
@@ -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> 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>.
 </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> Max Grover, Drew Camron, 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>

_images/toppages.png

@@ -399,7 +399,7 @@
                   <article class="bd-article">
                      <section id="metrics">
 <h1>Metrics<a class="headerlink" href="#metrics" title="Link to this heading"><i class="fas fa-link"></i></a></h1>
-<p>Last Updated: 2025-06-09 01:17:57.770513</p>
+<p>Last Updated: 2025-06-09 20:51:04.135747</p>
 <p>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 <a class="reference external" href="https://github.com/ProjectPythia/projectpythia.github.io/issues/new/choose">open a GitHub issue</a>.</p>
 <section id="table-of-total-active-users-by-project">
 <h2>Table of Total Active Users by Project<a class="headerlink" href="#table-of-total-active-users-by-project" title="Link to this heading"><i class="fas fa-link"></i></a></h2>
@@ -418,7 +418,7 @@ <h2>Table of Total Active Users by Project<a class="headerlink" href="#table-of-
 <td><p>78.1K</p></td>
 </tr>
 <tr class="row-even"><td><p>Cookbooks</p></td>
-<td><p>24.7K</p></td>
+<td><p>24.8K</p></td>
 </tr>
 </tbody>
 </table>