deploy: d859419

Author: brian-rose

_preview/435/_sources/cookbook-guide.md

@@ -147,11 +147,11 @@ Pythia Cookbooks are not just collections of notebooks! They are backed by GitHu
 ### About the publishing pipeline
 
 Any time you push new content to the `main` branch of your Cookbook repo, actions are triggered that do the following:
-- create an up-to-date build environment using your `environment.yml` file
-- execute all the notebooks in that environment
-- package the book into a styled website
-- check all the links in the website to make sure they are valid
-- deploy the styled website so it's visible to the world
+- Create an up-to-date build environment using your `environment.yml` file
+- Execute all the notebooks in that environment
+- Package the book into a styled website
+- Check all the links in the website to make sure they are valid
+- Deploy the styled website so it's visible to the world
 
 ### Where is my book?
 

_preview/435/_sources/resource-gallery.md

@@ -1599,7 +1599,7 @@ 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>
@@ -1624,7 +1624,7 @@ 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>
@@ -1649,7 +1649,7 @@ 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>
@@ -1674,7 +1674,7 @@ 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>
@@ -1699,7 +1699,7 @@ 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>
@@ -1724,7 +1724,7 @@ 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>
@@ -1749,7 +1749,7 @@ 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>
@@ -1774,7 +1774,7 @@ 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>
@@ -1800,7 +1800,7 @@ 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>
@@ -1824,7 +1824,7 @@ 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>
@@ -1851,7 +1851,7 @@ 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>
@@ -1876,7 +1876,7 @@ 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> Project Pythia, Drew Camron, Max Grover<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>
@@ -1901,7 +1901,7 @@ 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>
@@ -1926,7 +1926,7 @@ 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>
@@ -1951,7 +1951,7 @@ 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>
@@ -1976,7 +1976,7 @@ 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>
@@ -2001,7 +2001,7 @@ 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>
@@ -2027,7 +2027,7 @@ 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/435/cookbook-guide.html

@@ -534,11 +534,11 @@ <h2>Deploying your Cookbook<a class="headerlink" href="#deploying-your-cookbook"
 <h3>About the publishing pipeline<a class="headerlink" href="#about-the-publishing-pipeline" title="Link to this heading"><i class="fas fa-link"></i></a></h3>
 <p>Any time you push new content to the <code class="docutils literal notranslate"><span class="pre">main</span></code> branch of your Cookbook repo, actions are triggered that do the following:</p>
 <ul class="simple">
-<li><p>create an up-to-date build environment using your <code class="docutils literal notranslate"><span class="pre">environment.yml</span></code> file</p></li>
-<li><p>execute all the notebooks in that environment</p></li>
-<li><p>package the book into a styled website</p></li>
-<li><p>check all the links in the website to make sure they are valid</p></li>
-<li><p>deploy the styled website so it’s visible to the world</p></li>
+<li><p>Create an up-to-date build environment using your <code class="docutils literal notranslate"><span class="pre">environment.yml</span></code> file</p></li>
+<li><p>Execute all the notebooks in that environment</p></li>
+<li><p>Package the book into a styled website</p></li>
+<li><p>Check all the links in the website to make sure they are valid</p></li>
+<li><p>Deploy the styled website so it’s visible to the world</p></li>
 </ul>
 </section>
 <section id="where-is-my-book">