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[Callum Rollo](https://callumrollo.github.io/) - [**Data Access in Python:**](https://github.com/oceanhackweek/ohw-tutorials/tree/OHW24/us/01-Tue#data-access-in-python) In this tutorial, participants will use Python to find and access ocean data via a range of protocols including ERDDAP, OPeNDAP and WMS.
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@@ -46,7 +46,7 @@ The following tutorials will be presented live during the **US sessions**, and w
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Finally, each year we offer brief sessions on non-coding aspects of computational oceanography; this year we are pleased to offer the following.
- [Eli Holmes](https://www.fisheries.noaa.gov/contact/elizabeth-holmes-phd) - [**Reproducible Collaboration:**](https://github.com/oceanhackweek/ohw-tutorials/tree/OHW24/us/00-Mon#reproducible-research) Practical tips for reproducible code and collaborating with your future self and others. In this tutorial, I talk about how to learn new skills (or teach skills to others) -- specifically git -- by focusing on where you are at at the moment and identifying the next small step in your (or your mentees) journey. I also show some ways that we use GitHub to help with project management.
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- [Myranda Shirk](https://www.vanderbilt.edu/datascience/person/myranda-uselton-shirk/?type=lab) - **AI use-case discussion** following a tutorial on AI-Assisted Programming.
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- [Alex Kerney](https://github.com/abkfenris) - [**Stresses in the geosciences**](https://github.com/oceanhackweek/ohw-tutorials/tree/OHW23/02-Wed/README.md), an open discussion about mental health in the geosciences.
<p><aclass="reference external" href="https://callumrollo.github.io/">Callum Rollo</a> - <aclass="reference external" href="https://github.com/oceanhackweek/ohw-tutorials/tree/OHW24/us/01-Tue#data-access-in-python"><strong>Data Access in Python:</strong></a> In this tutorial, participants will use Python to find and access ocean data via a range of protocols including ERDDAP, OPeNDAP and WMS.</p>
<p><aclass="reference external" href="https://www.linkedin.com/in/ciara-dorsay/">Ciara Dorsay</a> - <aclass="reference external" href="https://github.com/oceanhackweek/ohw-tutorials/tree/OHW24/us/01-Tue#assessing-weather-model-skill-during-extreme-events-noaa-gfs-vs-sofar-spotter-buoy-observations-of-hurricane-henri"><strong>Assessing weather model skill during extreme events:</strong> NOAA GFS vs. Sofar Spotter buoy observations of Hurricane Henri:</a> In this tutorial, participants will learn how to query data of different formats (point-wise buoy, gridded weather model) from Amazon’s S3 cloud object storage system, collocate the two, and calculate and visualize the differences between them during a notable weather event using Python.</p>
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<h2>Lectures and Discussions<aclass="headerlink" href="#lectures-and-discussions" title="Permalink to this heading">#</a></h2>
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<p>Finally, each year we offer brief sessions on non-coding aspects of computational oceanography; this year we are pleased to offer the following.</p>
<li><p><aclass="reference external" href="https://www.fisheries.noaa.gov/contact/elizabeth-holmes-phd">Eli Holmes</a> - <aclass="reference external" href="https://github.com/oceanhackweek/ohw-tutorials/tree/OHW24/us/00-Mon#reproducible-research"><strong>Reproducible Collaboration:</strong></a> Practical tips for reproducible code and collaborating with your future self and others. In this tutorial, I talk about how to learn new skills (or teach skills to others) – specifically git – by focusing on where you are at at the moment and identifying the next small step in your (or your mentees) journey. I also show some ways that we use GitHub to help with project management.</p></li>
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<li><p><aclass="reference external" href="https://www.vanderbilt.edu/datascience/person/myranda-uselton-shirk/?type=lab">Myranda Shirk</a> - <strong>AI use-case discussion</strong> following a tutorial on AI-Assisted Programming.</p></li>
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<li><p><aclass="reference external" href="https://github.com/abkfenris">Alex Kerney</a> - <aclass="reference external" href="https://github.com/oceanhackweek/ohw-tutorials/tree/OHW23/02-Wed/README.md"><strong>Stresses in the geosciences</strong></a>, an open discussion about mental health in the geosciences.</p></li>
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