Deploying to gh-pages from @ 5ca1254 🚀

Author: brian-rose

_preview/484/_sources/posts/new-cookbooks.md

@@ -134,6 +134,23 @@ This Cookbook demonstrates how to do the following:
   <img src="https://contrib.rocks/image?repo=ProjectPythia/ERA5_interactive-cookbook" />
 </a>
 
+### [Wavelet Cookbook](https://projectpythia.org/wavelet-cookbook/)
+
+<img class="modal-img" src="https://projectpythia.org/wavelet-cookbook/_images/thumbnail.png
+" alt="Wavelet thumbnail" width="300"/>
+
+**Authors:** [Cora Schneck](https://github.com/cyschneck)
+
+[![DOI](https://zenodo.org/badge/815311051.svg)](https://zenodo.org/badge/latestdoi/815311051)
+
+This Cookbook covers how to work with wavelets in Python. Wavelets are a powerful tool to analyze time-series data. When data frequencies vary over time, wavelets can be applied to analysis trends and overcome the time/frequency limitations of Fourier Transforms
+
+**Contributors:**
+<a href="https://github.com/ProjectPythia/wavelet-cookbook/graphs/contributors">
+  <img src="https://contrib.rocks/image?repo=ProjectPythia/wavelet-cookbook" />
+</a>
+
+
 ## The 2024 Cook-off
 
 ### In pictures

_preview/484/_sources/resource-gallery.md

@@ -1478,7 +1478,7 @@ 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]">Lisa Tauxe</a>, <a href="mailto:bcych@ucsd.edu">Brendan Cych</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="card-subtitle"><strong>Author:</strong> <a href="mailto:[email protected]">Lisa Tauxe</a>, <a href="mailto:hasefaw@ucsd.edu">Hanna Asefaw</a>, <a href="mailto:bcych@ucsd.edu">Brendan Cych</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>
@@ -1811,7 +1811,7 @@ 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>Affiliation:</strong> <a href="https://ncar.ucar.edu/">NCAR</a></p>
+<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="my-2">Recording from the Python Tutorial Seminar Series introducing JupyterLab and Jupyter Notebooks.
 </p>
 </div>
@@ -1953,7 +1953,7 @@ 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>Affiliation:</strong> <a href="https://ncar.ucar.edu/">NCAR</a></p>
+<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="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>
@@ -1981,7 +1981,7 @@ 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, Project Pythia, Drew Camron<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>

_preview/484/posts/new-cookbooks.html

@@ -496,6 +496,17 @@ <h3><a class="reference external" href="https://projectpythia.org/ERA5_interacti
 <img alt="https://contrib.rocks/image?repo=ProjectPythia/ERA5_interactive-cookbook" src="https://contrib.rocks/image?repo=ProjectPythia/ERA5_interactive-cookbook" />
 </a></p>
 </section>
+<section id="wavelet-cookbook">
+<h3><a class="reference external" href="https://projectpythia.org/wavelet-cookbook/">Wavelet Cookbook</a><a class="headerlink" href="#wavelet-cookbook" title="Link to this heading"><i class="fas fa-link"></i></a></h3>
+<p><a class="modal-img reference internal" href="https://projectpythia.org/wavelet-cookbook/_images/thumbnail.png"><img alt="Wavelet thumbnail" class="modal-img" src="https://projectpythia.org/wavelet-cookbook/_images/thumbnail.png" style="width: 300px;" /></a></p>
+<p><strong>Authors:</strong> <a class="reference external" href="https://github.com/cyschneck">Cora Schneck</a></p>
+<p><a class="reference external" href="https://zenodo.org/badge/latestdoi/815311051"><img alt="DOI" src="https://zenodo.org/badge/815311051.svg" /></a></p>
+<p>This Cookbook covers how to work with wavelets in Python. Wavelets are a powerful tool to analyze time-series data. When data frequencies vary over time, wavelets can be applied to analysis trends and overcome the time/frequency limitations of Fourier Transforms</p>
+<p><strong>Contributors:</strong>
+<a href="https://github.com/ProjectPythia/wavelet-cookbook/graphs/contributors">
+<img alt="https://contrib.rocks/image?repo=ProjectPythia/wavelet-cookbook" src="https://contrib.rocks/image?repo=ProjectPythia/wavelet-cookbook" />
+</a></p>
+</section>
 </section>
 <section id="the-2024-cook-off">
 <h2>The 2024 Cook-off<a class="headerlink" href="#the-2024-cook-off" title="Link to this heading"><i class="fas fa-link"></i></a></h2>
@@ -598,6 +609,7 @@ <h2>Want to get involved?<a class="headerlink" href="#want-to-get-involved" titl
 <li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#esgf-cookbook">ESGF Cookbook</a></li>
 <li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#radar-cookbook">Radar Cookbook</a></li>
 <li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#arco-era-5-interactive-visualization-cookbook">ARCO ERA-5 Interactive Visualization Cookbook</a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#wavelet-cookbook">Wavelet Cookbook</a></li>
 </ul>
 </li>
 <li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#the-2024-cook-off">The 2024 Cook-off</a><ul class="nav section-nav flex-column">

_preview/484/resource-gallery.html

@@ -1380,7 +1380,7 @@ <h3 class="display-3">Xarray</h3>
 <img class="gallery-thumbnail" src="_static/images/ebp-logo.png"/>
 <div class="container">
 <a class="text-decoration-none" href="https://nbviewer.jupyter.org/github/ltauxe/Python-for-Earth-Science-Students/tree/master/"><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]">Lisa Tauxe</a>, <a href="mailto:bcych@ucsd.edu">Brendan Cych</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="card-subtitle"><strong>Author:</strong> <a href="mailto:[email protected]">Lisa Tauxe</a>, <a href="mailto:hasefaw@ucsd.edu">Hanna Asefaw</a>, <a href="mailto:bcych@ucsd.edu">Brendan Cych</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>
@@ -1652,7 +1652,7 @@ <h3 class="display-3">Python for Atmosphere and Ocean Science</h3>
 <img class="gallery-thumbnail" src="_static/thumbnails/ptss-jupyter.jpeg"/>
 <div class="container">
 <a class="text-decoration-none" href="https://youtu.be/xSzXvwzFsDU"><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>Affiliation:</strong> <a href="https://ncar.ucar.edu/">NCAR</a></p>
+<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="my-2">Recording from the Python Tutorial Seminar Series introducing JupyterLab and Jupyter Notebooks.
 </p>
 </div>
@@ -1764,7 +1764,7 @@ <h3 class="display-3">Python for Atmosphere and Ocean Science</h3>
 <img class="gallery-thumbnail" src="_static/thumbnails/ptss-git.png"/>
 <div class="container">
 <a class="text-decoration-none" href="https://youtu.be/fYkPn0Nttlg"><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>Affiliation:</strong> <a href="https://ncar.ucar.edu/">NCAR</a></p>
+<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="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>
@@ -1786,7 +1786,7 @@ <h3 class="display-3">Python for Atmosphere and Ocean Science</h3>
 <img class="gallery-thumbnail" src="_static/thumbnails/ptss-pandas.jpeg"/>
 <div class="container">
 <a class="text-decoration-none" href="https://youtu.be/BsV3ek7qsiM"><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, Project Pythia, Drew Camron<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>