deploy: 44e4d7e

Author: jukent

_preview/444/_sources/resource-gallery.md

@@ -1578,7 +1578,7 @@ 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:[email protected]">Brendan Cych</a>, <a href="mailto:hasefaw@ucsd.edu">Hanna Asefaw</a>, <a href="mailto:ltauxe@ucsd.edu">Lisa Tauxe</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:[email protected]">Brendan Cych</a>, <a href="mailto:ltauxe@ucsd.edu">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="my-2">Python Programming for Earth Science Students </p>
 </div>
 </div>
@@ -1771,7 +1771,7 @@ Xarray is inspired by and borrows heavily from pandas, the popular data analysis
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 <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>Affiliation:</strong> <a href="https://ncar.ucar.edu/">NCAR</a></p>
+<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="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>.
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@@ -1799,7 +1799,7 @@ Xarray is inspired by and borrows heavily from pandas, the popular data analysis
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 <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>Affiliation:</strong> <a href="https://ncar.ucar.edu/">NCAR</a></p>
+<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="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>.
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@@ -1827,7 +1827,7 @@ Xarray is inspired by and borrows heavily from pandas, the popular data analysis
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 <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>Affiliation:</strong> <a href="https://ncar.ucar.edu/">NCAR</a></p>
+<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="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>.
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@@ -1855,7 +1855,7 @@ Xarray is inspired by and borrows heavily from pandas, the popular data analysis
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 <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>Affiliation:</strong> <a href="https://ncar.ucar.edu/">NCAR</a></p>
+<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="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>.
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@@ -1883,7 +1883,7 @@ Xarray is inspired by and borrows heavily from pandas, the popular data analysis
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 <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>Affiliation:</strong> <a href="https://ncar.ucar.edu/">NCAR</a></p>
+<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="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>.
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@@ -1939,7 +1939,7 @@ Xarray is inspired by and borrows heavily from pandas, the popular data analysis
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 <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> Project Pythia, A Kootz<br/><strong>Affiliation:</strong> <a href="https://ncar.ucar.edu/">NCAR</a></p>
+<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="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>
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@@ -1967,7 +1967,7 @@ 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> Project Pythia, Anissa Zacharias<br/><strong>Affiliation:</strong> <a href="https://ncar.ucar.edu/">NCAR</a></p>
+<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="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>.
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@@ -1996,7 +1996,7 @@ Xarray is inspired by and borrows heavily from pandas, the popular data analysis
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 <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> Project Pythia, A Kootz<br/><strong>Affiliation:</strong> <a href="https://ncar.ucar.edu/">NCAR</a></p>
+<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="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>.
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@@ -2081,7 +2081,7 @@ 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> Project Pythia, Max Grover, Drew Camron<br/><strong>Affiliation:</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>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>.
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@@ -2221,7 +2221,7 @@ Xarray is inspired by and borrows heavily from pandas, the popular data analysis
 <img src="_static/thumbnails/ptss-geocatplot.jpeg" class="gallery-thumbnail" />
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 <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> Project Pythia, Anissa Zacharias<br/><strong>Affiliation:</strong> <a href="https://ncar.ucar.edu/">NCAR</a></p>
+<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="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>
@@ -2250,7 +2250,7 @@ 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> Project Pythia, A Kootz<br/><strong>Affiliation:</strong> <a href="https://ncar.ucar.edu/">NCAR</a></p>
+<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="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/444/_static/custom.css

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