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Copy file name to clipboardExpand all lines: _sources/ohw24/tutorials-index/index.md.txt
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The following tutorials will be presented live during the **US sessions**, and will be recorded for later review.
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### Monday, August 26th
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[Christian Sarason](https://apl.uw.edu/people/profile.php?last_name=Sarason&first_name=Christian) Fight the dreaded 'It works for me' demon with conda package management and jupyter notebooks: This tutorial will describe some of the pros, cons and pitfalls of package management and take quick tour of Pixi and JupyterLab using an example project.
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[Christian Sarason](https://apl.uw.edu/people/profile.php?last_name=Sarason&first_name=Christian) - [**Fight the dreaded 'It works for me' demon with conda package management and jupyter notebooks:**](https://github.com/oceanhackweek/ohw-tutorials/tree/OHW24/us/00-Mon#packagesjupyterlabhub) This tutorial will describe some of the pros, cons and pitfalls of package management and take quick tour of Pixi and JupyterLab using an example project.
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### Tuesday, August 27th
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[Callum Rollo](https://callumrollo.github.io/) - 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.
[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.
[Ciara Dorsay](https://www.linkedin.com/in/ciara-dorsay/) - Assessing weather model skill during extreme events: NOAA GFS vs. Sofar Spotter buoy observations of Hurricane Henri: 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.
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[Ciara Dorsay](https://www.linkedin.com/in/ciara-dorsay/) - [**Assessing weather model skill during extreme events:** NOAA GFS vs. Sofar Spotter buoy observations of Hurricane Henri:](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) 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.
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### Wednesday, August 28th
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[Myranda Shirk](https://www.vanderbilt.edu/datascience/person/myranda-uselton-shirk/?type=lab) - AI-Assisted Programming: With the recent success of large language models (LLMs) such as ChatGPT, mastery of a programming language is no longer required to write successful code. In this tutorial, we will explore the new workflow of AI-assisted programming and how it can streamline your hackathon project, no matter your coding experience.
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[Myranda Shirk](https://www.vanderbilt.edu/datascience/person/myranda-uselton-shirk/?type=lab) - [**AI-Assisted Programming:**](https://github.com/oceanhackweek/ohw-tutorials/tree/OHW24/us/02-Wed#ai-assisted-programming) With the recent success of large language models (LLMs) such as ChatGPT, mastery of a programming language is no longer required to write successful code. In this tutorial, we will explore the new workflow of AI-assisted programming and how it can streamline your hackathon project, no matter your coding experience.
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[Jiarui Yu](https://www.linkedin.com/in/jiarui-yu-0b0ab522b/) - Introduction to Transformers: This tutorial includes Transformer’s encoder structure in detail, presenting attention mechanism and transforming the encoder to VIT in order to process 2-d image classification.
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[Jiarui Yu](https://www.linkedin.com/in/jiarui-yu-0b0ab522b/) - [**Introduction to Transformers:**](https://github.com/oceanhackweek/ohw-tutorials/tree/OHW24/us/02-Wed#deep-learning-introduction-to-transformers) This tutorial includes Transformer’s encoder structure in detail, presenting attention mechanism and transforming the encoder to VIT in order to process 2-d image classification.
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### Thursday, August 29th
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[Camille Ross](https://www.neaq.org/person/camille-ross/) - R Application
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[Camille Ross](https://www.neaq.org/person/camille-ross/) - [**Species distribution modeling in R**](https://github.com/oceanhackweek/ohw-tutorials/tree/OHW24/us/03-Thr)
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## Lectures and Discussions
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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.
- [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>The following tutorials will be presented live during the <strong>US sessions</strong>, and will be recorded for later review.</p>
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<sectionid="monday-august-26th">
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<h3>Monday, August 26th<aclass="headerlink" href="#monday-august-26th" title="Permalink to this heading">#</a></h3>
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<p><aclass="reference external" href="https://apl.uw.edu/people/profile.php?last_name=Sarason&first_name=Christian">Christian Sarason</a> Fight the dreaded ‘It works for me’ demon with conda package management and jupyter notebooks: This tutorial will describe some of the pros, cons and pitfalls of package management and take quick tour of Pixi and JupyterLab using an example project.</p>
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<p><aclass="reference external" href="https://apl.uw.edu/people/profile.php?last_name=Sarason&first_name=Christian">Christian Sarason</a>- <aclass="reference external" href="https://github.com/oceanhackweek/ohw-tutorials/tree/OHW24/us/00-Mon#packagesjupyterlabhub"><strong>Fight the dreaded ‘It works for me’ demon with conda package management and jupyter notebooks:</strong></a> This tutorial will describe some of the pros, cons and pitfalls of package management and take quick tour of Pixi and JupyterLab using an example project.</p>
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</section>
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<sectionid="tuesday-august-27th">
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<h3>Tuesday, August 27th<aclass="headerlink" href="#tuesday-august-27th" title="Permalink to this heading">#</a></h3>
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<p><aclass="reference external" href="https://callumrollo.github.io/">Callum Rollo</a> - 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.</p>
<p><aclass="reference external" href="https://www.linkedin.com/in/ciara-dorsay/">Ciara Dorsay</a> - Assessing weather model skill during extreme events: NOAA GFS vs. Sofar Spotter buoy observations of Hurricane Henri: 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>
<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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</section>
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<sectionid="wednesday-august-28th">
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<h3>Wednesday, August 28th<aclass="headerlink" href="#wednesday-august-28th" title="Permalink to this heading">#</a></h3>
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<p><aclass="reference external" href="https://www.vanderbilt.edu/datascience/person/myranda-uselton-shirk/?type=lab">Myranda Shirk</a> - AI-Assisted Programming: With the recent success of large language models (LLMs) such as ChatGPT, mastery of a programming language is no longer required to write successful code. In this tutorial, we will explore the new workflow of AI-assisted programming and how it can streamline your hackathon project, no matter your coding experience.</p>
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<p><aclass="reference external" href="https://www.linkedin.com/in/jiarui-yu-0b0ab522b/">Jiarui Yu</a> - Introduction to Transformers: This tutorial includes Transformer’s encoder structure in detail, presenting attention mechanism and transforming the encoder to VIT in order to process 2-d image classification.</p>
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<p><aclass="reference external" href="https://www.vanderbilt.edu/datascience/person/myranda-uselton-shirk/?type=lab">Myranda Shirk</a> - <aclass="reference external" href="https://github.com/oceanhackweek/ohw-tutorials/tree/OHW24/us/02-Wed#ai-assisted-programming"><strong>AI-Assisted Programming:</strong></a> With the recent success of large language models (LLMs) such as ChatGPT, mastery of a programming language is no longer required to write successful code. In this tutorial, we will explore the new workflow of AI-assisted programming and how it can streamline your hackathon project, no matter your coding experience.</p>
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<p><aclass="reference external" href="https://www.linkedin.com/in/jiarui-yu-0b0ab522b/">Jiarui Yu</a> - <aclass="reference external" href="https://github.com/oceanhackweek/ohw-tutorials/tree/OHW24/us/02-Wed#deep-learning-introduction-to-transformers"><strong>Introduction to Transformers:</strong></a> This tutorial includes Transformer’s encoder structure in detail, presenting attention mechanism and transforming the encoder to VIT in order to process 2-d image classification.</p>
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</section>
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<sectionid="thursday-august-29th">
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<h3>Thursday, August 29th<aclass="headerlink" href="#thursday-august-29th" title="Permalink to this heading">#</a></h3>
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<p><aclass="reference external" href="https://www.neaq.org/person/camille-ross/">Camille Ross</a> - R Application</p>
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<p><aclass="reference external" href="https://www.neaq.org/person/camille-ross/">Camille Ross</a> - <aclass="reference external" href="https://github.com/oceanhackweek/ohw-tutorials/tree/OHW24/us/03-Thr"><strong>Species distribution modeling in R</strong></a></p>
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</section>
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</section>
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<sectionid="lectures-and-discussions">
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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.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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