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Author: brian-rose

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

@@ -9,7 +9,9 @@ tags: cook-off
 
 The Project Pythia team is excited to announce the publication of new community-contributed Cookbooks from our successful [2024 Pythia Cook-Off hackathon](https://projectpythia.org/pythia-cookoff-2024/), which was held June 11 - 14 2024, at the NCAR Mesa Lab in Boulder, Colorado and online.
 
-[Cookbooks](https://cookbooks.projectpythia.org) are geoscience-flavored collections of tutorials, recipes, and reproducible example workflows for Python-based data analysis and visualization. Cookbooks are supported by a rich computational infrastructure enabling collaborative authoring, automated health-checking, and interactive use.
+[Cookbooks](https://cookbooks.projectpythia.org) are geoscience-flavored collections of tutorials, recipes, and reproducible example workflows for Python-based data analysis and visualization. Cookbooks are supported by a rich computational infrastructure enabling collaborative authoring, automated health-checking, and interactive use. Cookbooks undergo a review process, are citable by DOI, and are tested and maintained by the Project Pythia community.
+
+It's time to celebrate the Cook-off projects that have made it across the finish line. *[Watch this space!](https://cookbooks.projectpythia.org)* There are several more exciting Cookbooks still in development.
 
 ## Cookbook round-up
 

_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> 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.
@@ -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>
@@ -1839,7 +1839,7 @@ 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>
@@ -1867,7 +1867,7 @@ Xarray is inspired by and borrows heavily from pandas, the popular data analysis
 <img src="_static/thumbnails/ptss-matplotlib.jpeg" class="gallery-thumbnail" />
 <div class="container">
 <a href="https://youtu.be/EiPRIdHQEmE" class="text-decoration-none"><h4 class="display-4 p-0">Python Tutorial Seminar Series - Matplotlib</h4></a>
-<p class="card-subtitle"><strong>Author:</strong> Anissa Zacharias, Project Pythia<br/><strong>Affiliation:</strong> <a href="https://ncar.ucar.edu/">NCAR</a></p>
+<p class="card-subtitle"><strong>Author:</strong> Project Pythia, Anissa Zacharias<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 `matplotlib`. The content to follow along with this video is hosted on this <A href="https://github.com/anissa111/matplotlib-tutorial">Matplotlib Tutorial GitHub Repository</A>.
 </p>
 </div>
@@ -1896,7 +1896,7 @@ 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>
@@ -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, Project Pythia, Drew Camron<br/><strong>Affiliation:</strong> <a href="https://ncar.ucar.edu/">NCAR</a></p>
+<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="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>
@@ -2121,7 +2121,7 @@ Xarray is inspired by and borrows heavily from pandas, the popular data analysis
 <img src="_static/thumbnails/ptss-geocatplot.jpeg" class="gallery-thumbnail" />
 <div class="container">
 <a href="https://youtu.be/It231le1fAU" class="text-decoration-none"><h4 class="display-4 p-0">Python Tutorial Seminar Series - Plotting with GeoCAT</h4></a>
-<p class="card-subtitle"><strong>Author:</strong> Anissa Zacharias, Project Pythia<br/><strong>Affiliation:</strong> <a href="https://ncar.ucar.edu/">NCAR</a></p>
+<p class="card-subtitle"><strong>Author:</strong> Project Pythia, Anissa Zacharias<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 advanced plotting techniques and highlighting tools developed by GeoCAT. The content to follow along with this video is hosted in this <A href="https://github.com/anissa111/plotting-with-geocat-tutorial">Plotting with GeoCat GitHub Repository</A>.
 </p>
 </div>
@@ -2150,7 +2150,7 @@ 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>

_preview/484/posts/new-cookbooks.html

@@ -409,7 +409,8 @@
                      <section id="hello-world-new-cookbooks">
 <h1>Hello world, new Cookbooks!<a class="headerlink" href="#hello-world-new-cookbooks" title="Link to this heading"><i class="fas fa-link"></i></a></h1>
 <p>The Project Pythia team is excited to announce the publication of new community-contributed Cookbooks from our successful <a class="reference external" href="https://projectpythia.org/pythia-cookoff-2024/">2024 Pythia Cook-Off hackathon</a>, which was held June 11 - 14 2024, at the NCAR Mesa Lab in Boulder, Colorado and online.</p>
-<p><a class="reference external" href="https://cookbooks.projectpythia.org">Cookbooks</a> are geoscience-flavored collections of tutorials, recipes, and reproducible example workflows for Python-based data analysis and visualization. Cookbooks are supported by a rich computational infrastructure enabling collaborative authoring, automated health-checking, and interactive use.</p>
+<p><a class="reference external" href="https://cookbooks.projectpythia.org">Cookbooks</a> are geoscience-flavored collections of tutorials, recipes, and reproducible example workflows for Python-based data analysis and visualization. Cookbooks are supported by a rich computational infrastructure enabling collaborative authoring, automated health-checking, and interactive use. Cookbooks undergo a review process, are citable by DOI, and are tested and maintained by the Project Pythia community.</p>
+<p>It’s time to celebrate the Cook-off projects that have made it across the finish line. <em><a class="reference external" href="https://cookbooks.projectpythia.org">Watch this space!</a></em> There are several more exciting Cookbooks still in development.</p>
 <section id="cookbook-round-up">
 <h2>Cookbook round-up<a class="headerlink" href="#cookbook-round-up" title="Link to this heading"><i class="fas fa-link"></i></a></h2>
 <p>Here you can find brief descriptions and links to the new (and signficantly updated) books on the <a class="reference external" href="https://cookbooks.projectpythia.org">Pythia Cookbook Gallery</a>. Try also filtering the <a class="reference external" href="https://cookbooks.projectpythia.org">gallery</a> with the new “events” dropdown menu!</p>