You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
<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>
152
-
<p class="card-subtitle"><strong>Author:</strong> Ryan Abernathey, Kerry Key<br/><strong>Institution:</strong> Lamont-Doherty Earth Observatory</p>
152
+
<p class="card-subtitle"><strong>Author:</strong> Kerry Key, Ryan Abernathey<br/><strong>Institution:</strong> Lamont-Doherty Earth Observatory</p>
153
153
<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>
<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.
@@ -1317,7 +1317,7 @@ Xarray is inspired by and borrows heavily from pandas, the popular data analysis
<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>.
1697
1697
</p>
1698
1698
</div>
@@ -1763,7 +1763,7 @@ Xarray is inspired by and borrows heavily from pandas, the popular data analysis
<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>
1766
-
<p class="card-subtitle"><strong>Author:</strong> Project Pythia, Anderson Banihirwe<br/><strong>Institution:</strong> <a href="https://ncar.ucar.edu/">NCAR</a></p>
1766
+
<p class="card-subtitle"><strong>Author:</strong> Anderson Banihirwe, Project Pythia<br/><strong>Institution:</strong> <a href="https://ncar.ucar.edu/">NCAR</a></p>
1767
1767
<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>.
1768
1768
</p>
1769
1769
</div>
@@ -1786,7 +1786,7 @@ Xarray is inspired by and borrows heavily from pandas, the popular data analysis
<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>
1789
-
<p class="card-subtitle"><strong>Author:</strong> Project Pythia, Anderson Banihirwe<br/><strong>Institution:</strong> <a href="https://ncar.ucar.edu/">NCAR</a></p>
1789
+
<p class="card-subtitle"><strong>Author:</strong> Anderson Banihirwe, Project Pythia<br/><strong>Institution:</strong> <a href="https://ncar.ucar.edu/">NCAR</a></p>
1790
1790
<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>.
1791
1791
</p>
1792
1792
</div>
@@ -1809,7 +1809,7 @@ Xarray is inspired by and borrows heavily from pandas, the popular data analysis
<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>
1812
-
<p class="card-subtitle"><strong>Author:</strong> Project Pythia, Anderson Banihirwe<br/><strong>Institution:</strong> <a href="https://ncar.ucar.edu/">NCAR</a></p>
1812
+
<p class="card-subtitle"><strong>Author:</strong> Anderson Banihirwe, Project Pythia<br/><strong>Institution:</strong> <a href="https://ncar.ucar.edu/">NCAR</a></p>
1813
1813
<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>.
1814
1814
</p>
1815
1815
</div>
@@ -1832,7 +1832,7 @@ Xarray is inspired by and borrows heavily from pandas, the popular data analysis
<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>
1835
-
<p class="card-subtitle"><strong>Author:</strong> Project Pythia, Anderson Banihirwe<br/><strong>Institution:</strong> <a href="https://ncar.ucar.edu/">NCAR</a></p>
1835
+
<p class="card-subtitle"><strong>Author:</strong> Anderson Banihirwe, Project Pythia<br/><strong>Institution:</strong> <a href="https://ncar.ucar.edu/">NCAR</a></p>
1836
1836
<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>.
Copy file name to clipboardExpand all lines: about.html
+1-1Lines changed: 1 addition & 1 deletion
Original file line number
Diff line number
Diff line change
@@ -364,7 +364,7 @@ <h2>Why the name <em>Pythia</em>?<a class="headerlink" href="#why-the-name-pythi
364
364
</div>
365
365
<divclass="section" id="who-is-project-pythia">
366
366
<h2>Who is Project Pythia?<aclass="headerlink" href="#who-is-project-pythia" title="Permalink to this headline"><iclass="fas fa-link"></i></a></h2>
367
-
<p>The current core Pythia team can be found <aclass="reference internal" href="index.html#the-project-pythia-team"><spanclass="std std-doc">here</span></a>.
367
+
<p>The current core Pythia team can be found <spanclass="xref myst">here</span>.
368
368
Pythia is an open and inclusive community! Look <aclass="reference internal" href="index.html#join-us"><spanclass="std std-doc">here</span></a> for info
0 commit comments