deploy: 161e691

Author: erogluorhan

_preview/375/_sources/index.md.txt

@@ -152,7 +152,7 @@ the example data used by the [Pythia Foundations Book](https://foundations.proje
 If you have questions or want to share anything with the Project
 Pythia Team, please reach out to us through the [Project Pythia
 category on the Pangeo Discourse forum](https://discourse.pangeo.io/c/education/project-pythia/)
-below or join us at our [Weekly Working Group Meetings](#weekly-working-group-meetings).
+or join us at our [Weekly Working Group Meetings](#weekly-working-group-meetings).
 
 <span class="d-flex justify-content-center pt-1 pb-4">
     <a href="https://discourse.pangeo.io/c/education/project-pythia/" role="button" class="btn btn-primary btn-lg">

_preview/375/_sources/resource-gallery.md.txt

@@ -149,7 +149,7 @@ Packages
 <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>Institution:</strong> Lamont-Doherty Earth Observatory</p>
+<p class="card-subtitle"><strong>Author:</strong> Kerry Key, Ryan Abernathey<br/><strong>Institution:</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>
@@ -158,7 +158,7 @@ Packages
 <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>Institution:</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.
@@ -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>
@@ -1600,7 +1600,7 @@ 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>Institution:</strong> <a href="https://ncar.ucar.edu/">NCAR</a></p>
+<p class="card-subtitle"><strong>Author:</strong> Kevin Paul, 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 JupyterLab and Jupyter Notebooks.
 </p>
 </div>
@@ -1692,7 +1692,7 @@ 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> Project Pythia, Michaela Sizemore<br/><strong>Institution:</strong> <a href="https://ncar.ucar.edu/">NCAR</a></p>
+<p class="card-subtitle"><strong>Author:</strong> Michaela Sizemore, 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 `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>
@@ -1717,7 +1717,7 @@ 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>Institution:</strong> <a href="https://ncar.ucar.edu/">NCAR</a></p>
+<p class="card-subtitle"><strong>Author:</strong> Kevin Paul, 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 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>
@@ -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> Drew Camron, Project Pythia, Max Grover<br/><strong>Institution:</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>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> Project Pythia, Anderson Banihirwe<br/><strong>Institution:</strong> <a href="https://ncar.ucar.edu/">NCAR</a></p>
+<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="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> Project Pythia, Anderson Banihirwe<br/><strong>Institution:</strong> <a href="https://ncar.ucar.edu/">NCAR</a></p>
+<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="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> Project Pythia, Anderson Banihirwe<br/><strong>Institution:</strong> <a href="https://ncar.ucar.edu/">NCAR</a></p>
+<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="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> Project Pythia, Anderson Banihirwe<br/><strong>Institution:</strong> <a href="https://ncar.ucar.edu/">NCAR</a></p>
+<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="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>

_preview/375/_static/__pycache__/__init__.cpython-310.pyc

@@ -330,7 +330,7 @@ <h5>Slide 3</h5>
 <p>If you have questions or want to share anything with the Project
 Pythia Team, please reach out to us through the <a class="reference external" href="https://discourse.pangeo.io/c/education/project-pythia/">Project Pythia
 category on the Pangeo Discourse forum</a>
-below or join us at our <a class="reference internal" href="#weekly-working-group-meetings"><span class="std std-doc">Weekly Working Group Meetings</span></a>.</p>
+or join us at our <a class="reference internal" href="#weekly-working-group-meetings"><span class="std std-doc">Weekly Working Group Meetings</span></a>.</p>
 <span class="d-flex justify-content-center pt-1 pb-4">
 <a class="btn btn-primary btn-lg" href="https://discourse.pangeo.io/c/education/project-pythia/" role="button">
         Go to Pangeo Discourse