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<pclass="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 <Ahref="https://github.com/anissa111/matplotlib-tutorial">Matplotlib Tutorial GitHub Repository</A>.
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@@ -1923,7 +1923,7 @@ Xarray is inspired by and borrows heavily from pandas, the popular data analysis
<pclass="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 <Ahref="https://github.com/michaelavs/cartopy_tutorial">Cartopy Tutorial GitHub Repository</A>.
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@@ -2009,7 +2009,7 @@ Xarray is inspired by and borrows heavily from pandas, the popular data analysis
<ahref="https://youtu.be/Ss4ryKukhi4"class="text-decoration-none"><h4class="display-4 p-0">Python Tutorial Seminar Series - Xarray Part 1</h4></a>
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<pclass="card-subtitle"><strong>Author:</strong> Project Pythia, Anderson Banihirwe<br/><strong>Affiliation:</strong> <ahref="https://ncar.ucar.edu/">NCAR</a></p>
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<pclass="card-subtitle"><strong>Author:</strong> Anderson Banihirwe, Project Pythia<br/><strong>Affiliation:</strong> <ahref="https://ncar.ucar.edu/">NCAR</a></p>
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<pclass="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 <Ahref="https://github.com/andersy005/xarray-tutorial">Xarray Tutorial GitHub Repository</A>.
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@@ -2037,7 +2037,7 @@ Xarray is inspired by and borrows heavily from pandas, the popular data analysis
<ahref="https://youtu.be/2H_4drBwORY"class="text-decoration-none"><h4class="display-4 p-0">Python Tutorial Seminar Series - Xarray Part 2</h4></a>
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<pclass="card-subtitle"><strong>Author:</strong> Project Pythia, Anderson Banihirwe<br/><strong>Affiliation:</strong> <ahref="https://ncar.ucar.edu/">NCAR</a></p>
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<pclass="card-subtitle"><strong>Author:</strong> Anderson Banihirwe, Project Pythia<br/><strong>Affiliation:</strong> <ahref="https://ncar.ucar.edu/">NCAR</a></p>
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<pclass="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 <Ahref="https://github.com/andersy005/xarray-tutorial">Xarray Tutorial GitHub Repository</A>.
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@@ -2065,7 +2065,7 @@ Xarray is inspired by and borrows heavily from pandas, the popular data analysis
<ahref="https://youtu.be/wn-QM6QUB_U"class="text-decoration-none"><h4class="display-4 p-0">Python Tutorial Seminar Series - Dask Part 1</h4></a>
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<pclass="card-subtitle"><strong>Author:</strong> Project Pythia, Anderson Banihirwe<br/><strong>Affiliation:</strong> <ahref="https://ncar.ucar.edu/">NCAR</a></p>
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<pclass="card-subtitle"><strong>Author:</strong> Anderson Banihirwe, Project Pythia<br/><strong>Affiliation:</strong> <ahref="https://ncar.ucar.edu/">NCAR</a></p>
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<pclass="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 <Ahref="https://github.com/andersy005/xarray-tutorial">Xarray Tutorial GitHub Repository</A>.
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@@ -2093,7 +2093,7 @@ Xarray is inspired by and borrows heavily from pandas, the popular data analysis
<ahref="https://youtu.be/yn4_-1pHC5k"class="text-decoration-none"><h4class="display-4 p-0">Python Tutorial Seminar Series - Dask Part 2</h4></a>
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<pclass="card-subtitle"><strong>Author:</strong> Project Pythia, Anderson Banihirwe<br/><strong>Affiliation:</strong> <ahref="https://ncar.ucar.edu/">NCAR</a></p>
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<pclass="card-subtitle"><strong>Author:</strong> Anderson Banihirwe, Project Pythia<br/><strong>Affiliation:</strong> <ahref="https://ncar.ucar.edu/">NCAR</a></p>
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<pclass="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 <Ahref="https://github.com/andersy005/xarray-tutorial">Xarray Tutorial GitHub Repository</A>.
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@@ -2121,7 +2121,7 @@ Xarray is inspired by and borrows heavily from pandas, the popular data analysis
<ahref="https://youtu.be/It231le1fAU"class="text-decoration-none"><h4class="display-4 p-0">Python Tutorial Seminar Series - Plotting with GeoCAT</h4></a>
<pclass="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 <Ahref="https://github.com/anissa111/plotting-with-geocat-tutorial">Plotting with GeoCat GitHub Repository</A>.
<pclass="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 <ahref="https://github.com/anissa111/matplotlib-tutorial">Matplotlib Tutorial GitHub Repository</a>.
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@@ -1736,7 +1736,7 @@ <h3 class="display-3">Python for Atmosphere and Ocean Science</h3>
<pclass="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 <ahref="https://github.com/michaelavs/cartopy_tutorial">Cartopy Tutorial GitHub Repository</a>.
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@@ -1804,7 +1804,7 @@ <h3 class="display-3">Python for Atmosphere and Ocean Science</h3>
<aclass="text-decoration-none" href="https://youtu.be/Ss4ryKukhi4"><h4class="display-4 p-0">Python Tutorial Seminar Series - Xarray Part 1</h4></a>
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<pclass="card-subtitle"><strong>Author:</strong>Project Pythia, Anderson Banihirwe<br/><strong>Affiliation:</strong><ahref="https://ncar.ucar.edu/">NCAR</a></p>
<pclass="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 <ahref="https://github.com/andersy005/xarray-tutorial">Xarray Tutorial GitHub Repository</a>.
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@@ -1826,7 +1826,7 @@ <h3 class="display-3">Python for Atmosphere and Ocean Science</h3>
<aclass="text-decoration-none" href="https://youtu.be/2H_4drBwORY"><h4class="display-4 p-0">Python Tutorial Seminar Series - Xarray Part 2</h4></a>
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<pclass="card-subtitle"><strong>Author:</strong>Project Pythia, Anderson Banihirwe<br/><strong>Affiliation:</strong><ahref="https://ncar.ucar.edu/">NCAR</a></p>
<pclass="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 <ahref="https://github.com/andersy005/xarray-tutorial">Xarray Tutorial GitHub Repository</a>.
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@@ -1848,7 +1848,7 @@ <h3 class="display-3">Python for Atmosphere and Ocean Science</h3>
<aclass="text-decoration-none" href="https://youtu.be/wn-QM6QUB_U"><h4class="display-4 p-0">Python Tutorial Seminar Series - Dask Part 1</h4></a>
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<pclass="card-subtitle"><strong>Author:</strong>Project Pythia, Anderson Banihirwe<br/><strong>Affiliation:</strong><ahref="https://ncar.ucar.edu/">NCAR</a></p>
<pclass="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 <ahref="https://github.com/andersy005/xarray-tutorial">Xarray Tutorial GitHub Repository</a>.
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@@ -1870,7 +1870,7 @@ <h3 class="display-3">Python for Atmosphere and Ocean Science</h3>
<aclass="text-decoration-none" href="https://youtu.be/yn4_-1pHC5k"><h4class="display-4 p-0">Python Tutorial Seminar Series - Dask Part 2</h4></a>
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<pclass="card-subtitle"><strong>Author:</strong>Project Pythia, Anderson Banihirwe<br/><strong>Affiliation:</strong><ahref="https://ncar.ucar.edu/">NCAR</a></p>
<pclass="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 <ahref="https://github.com/andersy005/xarray-tutorial">Xarray Tutorial GitHub Repository</a>.
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@@ -1892,7 +1892,7 @@ <h3 class="display-3">Python for Atmosphere and Ocean Science</h3>
<aclass="text-decoration-none" href="https://youtu.be/It231le1fAU"><h4class="display-4 p-0">Python Tutorial Seminar Series - Plotting with GeoCAT</h4></a>
<pclass="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 <ahref="https://github.com/anissa111/plotting-with-geocat-tutorial">Plotting with GeoCat GitHub Repository</a>.
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