deploy: f27e393

Author: jukent

.buildinfo

@@ -1,4 +1,4 @@
 # Sphinx build info version 1
 # This file hashes the configuration used when building these files. When it is not found, a full rebuild will be done.
-config: a2075304d1c6941465de4daa52711910
+config: 4679dea1a714ba7f4ffc0ced7b7fdd04
 tags: 645f666f9bcd5a90fca523b33c5a78b7

_sources/posts/cookoff2023.md.txt

@@ -0,0 +1,20 @@
+---
+blogpost: true
+date: Jun 28, 2023
+author: Julia kent
+tags: cook-off
+---
+
+# Pythia Cookbook Cook-Off Hackathon 2023
+
+One year from when Project Pythia first introduced Cookbooks, NCAR hosted Project Pythia’s first “Cookbook Cook-Off” hackathon.
+
+Pythia Cookbooks provide example end-to-end geoscientific workflows and are an important tool towards reproducible science efforts.
+
+36 members of the Project Pythia team and larger Pangeo community gathered at NCAR’s Mesa Lab in Boulder, CO and remotely for a hybrid hacakthon June 20-23, 2023 to expand content and improve infrastructure support for Cookbook development.
+
+During the hackthon, significant additions were made to our Radar Cookbook and infrastructure changes were made to better support DOI citations of Cookbooks. We are expecting 10 novel Cookbooks to join our gallery soon.
+
+From our post-hackathon exit survey, everyone enjoyed the event, felt that they learned new skills and that their contributions were valued. One scientist commented, “The hackathon for me has become a great place to get a sense of a community. Seeing people enthusiastic about coding up notebooks that would benefit the research community is a gateway for someone starting to code in Python.” This comment mirrors the efforts of Project Pythia as a community-owned resource.
+
+<img src="../../_static/images/posts/projectpythia-cookbook-cookoff.jpeg" alt="Cookoff Image">

_sources/resource-gallery.md.txt

@@ -1317,7 +1317,7 @@ 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:ltauxe@ucsd.edu">Lisa Tauxe</a><br/><strong>Institution:</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:bcych@ucsd.edu">Brendan Cych</a><br/><strong>Institution:</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>
@@ -1485,7 +1485,7 @@ 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>Institution:</strong> <a href="https://ncar.ucar.edu/">NCAR</a></p>
+<p class="card-subtitle"><strong>Author:</strong> Julia Kent, Project Pythia<br/><strong>Institution:</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>
@@ -1508,7 +1508,7 @@ 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>Institution:</strong> <a href="https://ncar.ucar.edu/">NCAR</a></p>
+<p class="card-subtitle"><strong>Author:</strong> Julia Kent, Project Pythia<br/><strong>Institution:</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>
@@ -1531,7 +1531,7 @@ 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>Institution:</strong> <a href="https://ncar.ucar.edu/">NCAR</a></p>
+<p class="card-subtitle"><strong>Author:</strong> Julia Kent, Project Pythia<br/><strong>Institution:</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>
@@ -1554,7 +1554,7 @@ 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>Institution:</strong> <a href="https://ncar.ucar.edu/">NCAR</a></p>
+<p class="card-subtitle"><strong>Author:</strong> Julia Kent, Project Pythia<br/><strong>Institution:</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>
@@ -1577,7 +1577,7 @@ 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>Institution:</strong> <a href="https://ncar.ucar.edu/">NCAR</a></p>
+<p class="card-subtitle"><strong>Author:</strong> Julia Kent, Project Pythia<br/><strong>Institution:</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>
@@ -1740,7 +1740,7 @@ 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>Institution:</strong> <a href="https://ncar.ucar.edu/">NCAR</a></p>
+<p class="card-subtitle"><strong>Author:</strong> Drew Camron, Max Grover, Project Pythia<br/><strong>Institution:</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>
@@ -1763,7 +1763,7 @@ 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>Institution:</strong> <a href="https://ncar.ucar.edu/">NCAR</a></p>
+<p class="card-subtitle"><strong>Author:</strong> Project Pythia, Anderson Banihirwe<br/><strong>Institution:</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>
@@ -1786,7 +1786,7 @@ 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>Institution:</strong> <a href="https://ncar.ucar.edu/">NCAR</a></p>
+<p class="card-subtitle"><strong>Author:</strong> Project Pythia, Anderson Banihirwe<br/><strong>Institution:</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>
@@ -1809,7 +1809,7 @@ 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>Institution:</strong> <a href="https://ncar.ucar.edu/">NCAR</a></p>
+<p class="card-subtitle"><strong>Author:</strong> Project Pythia, Anderson Banihirwe<br/><strong>Institution:</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>
@@ -1832,7 +1832,7 @@ 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>Institution:</strong> <a href="https://ncar.ucar.edu/">NCAR</a></p>
+<p class="card-subtitle"><strong>Author:</strong> Project Pythia, Anderson Banihirwe<br/><strong>Institution:</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>

_static/__pycache__/__init__.cpython-310.pyc

@@ -17,6 +17,7 @@ span.linenos.special { color: #000000; background-color: #ffffc0; padding-left:
 .highlight .cs { color: #3D7B7B; font-style: italic } /* Comment.Special */
 .highlight .gd { color: #A00000 } /* Generic.Deleted */
 .highlight .ge { font-style: italic } /* Generic.Emph */
+.highlight .ges { font-weight: bold; font-style: italic } /* Generic.EmphStrong */
 .highlight .gr { color: #E40000 } /* Generic.Error */
 .highlight .gh { color: #000080; font-weight: bold } /* Generic.Heading */
 .highlight .gi { color: #008400 } /* Generic.Inserted */

_static/images/posts/projectpythia-cookbook-cookoff.jpeg

@@ -41,7 +41,7 @@
     <link rel="index" title="Index" href="genindex.html" />
     <link rel="search" title="Search" href="search.html" />
     <link rel="next" title="Contributor’s Guide" href="contributing.html" />
-    <link rel="prev" title="Project Pythia" href="index.html" />
+    <link rel="prev" title="Project Pythia" href="index.html" /> 
     <meta name="viewport" content="width=device-width, initial-scale=1" />
     <meta name="docsearch:language" content="None">
 
@@ -55,6 +55,31 @@
                     gtag('js', new Date());
                     gtag('config', 'G-T9KGMX7VHZ');
                 </script>
+  
+<style type="text/css">
+  ul.ablog-archive {
+    list-style: none;
+    overflow: auto;
+    margin-left: 0px;
+  }
+  ul.ablog-archive li {
+    float: left;
+    margin-right: 5px;
+    font-size: 80%;
+  }
+  ul.postlist a {
+    font-style: italic;
+  }
+  ul.postlist-style-disc {
+    list-style-type: disc;
+  }
+  ul.postlist-style-none {
+    list-style-type: none;
+  }
+  ul.postlist-style-circle {
+    list-style-type: circle;
+  }
+</style>
 
   </head>
   <body data-spy="scroll" data-target="#bd-toc-nav" data-offset="132">
@@ -120,6 +145,13 @@
     <a class="nav-link nav-internal" href="https://projectpythia.org/#join-us">Community</a>
   </li>
 
+  <li class="nav-item">
+    
+    
+    
+    <a class="nav-link nav-internal" href="https://projectpythia.org/blog">Blog</a>
+  </li>
+  
 
 </ul>
       </div>
@@ -291,8 +323,7 @@
             <div class="col-12 col-md-9 pl-md-3 pr-md-0">
 
               <div>
-                
-  <div class="section" id="about-project-pythia">
+                 <div class="section" id="about-project-pythia">
 <h1>About Project Pythia<a class="headerlink" href="#about-project-pythia" title="Permalink to this headline"><i class="fas fa-link"></i></a></h1>
 <p>Project Pythia is the education working group for <a class="reference external" href="https://pangeo.io">Pangeo</a>
 and is an educational resource for the entire geoscience community.
@@ -417,6 +448,9 @@ <h2>Presentations about Project Pythia<a class="headerlink" href="#presentations
 </div>
 </div>
 
+<div class="section">
+   
+</div>
 
               </div>
               <!-- Previous / next buttons -->
@@ -512,7 +546,7 @@ <h1>Contribute</h1>
 
           By the <a href="https://projectpythia.org/">Project Pythia</a> Community.
 
-          Last updated on 3 August 2023.
+          Last updated on 9 August 2023.
         </p>
       </div>
     </div>