Add DeepLabCut MyST mini-hackathon blog post

content/blog/2024/deeplabcut-myst-hackathon/index.md

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+---
+title: MyST Mini-Hackathon with the DeepLabCut Team
+date: "2024-09-02"
+banner:
+  image: "featured.png"
+authors: ["Jenny Wong", "Angus Hollands", "Chris Holdgraf"]
+tags: [bioscience, open source]
+categories: [impact]
+featured: false
+draft: false
+---
+
+## The DeepLabCut Team
+
+The [DeepLabCut team](http://www.mackenziemathislab.org/deeplabcut) is a group of researchers and developers who are working on open source tools for analyzing animal pose estimation by training deep neural networks on videos.
+
+![Animal pose estimation using deep neural networks. Courtesy of the DeepLabCut Jupyter Book](https://images.squarespace-cdn.com/content/v1/57f6d51c9f74566f55ecf271/daed7f16-527f-4150-8bdd-cbb20e267451/cheetah-ezgif.com-video-to-gif-converter.gif?format=180w "Animal pose estimation using deep neural networks. Courtesy of the [DeepLabCut Jupyter Book](https://deeplabcut.github.io/DeepLabCut/README.html)")
+
+Chris Holdgraf visited the lab in early August to learn more about how the group were using open-source tools to document and share their work.
+
+## Jupyter Book and MyST
+
+Extensive documentation for using the DeepLabCut software package is already available as a [Jupyter Book](https://deeplabcut.github.io/DeepLabCut/README.html). The group was interested in adopting MyST Markdown to stay ahead of the curve and upgrade their Jupyter Book (see the related announcement [Jupyter Book 2 will be build upon the MyST-MD engine](https://executablebooks.org/en/latest/blog/2024-05-20-jupyter-book-myst/)).
+
+Chris led a mini-hackathon to introduce the group to MyST and collect feedback on where enhancement features could be made in the future. Here's a summary of the outcomes:
+
+- Many improvements were made to the [MyST documentation](https://mystmd.org/guide/) 📖
+  - The [MyST Quick Start Guide](https://mystmd.org/guide/quickstart) was used to onboard new users. Amendments were [upstreamed to the MyST docs directly](https://github.com/jupyter-book/mystmd/pull/1433) and were immediately available to all.
+  - A [tutorial on executable documents](https://mystmd.org/guide/quickstart-executable-documents) was added to the collection of MyST tutorials.
+  - MyST-MD installation instructions were [simplified using `mamba`](https://github.com/jupyter-book/mystmd/pull/1454).
+- A bunch of enhancement features were requested ✨
+  - [Using cell tags for labelling notebook cells](https://github.com/jupyter-book/mystmd/issues/1455)
+  - [Support for loading user-defined CSS stylesheets for theming](https://github.com/jupyter-book/myst-theme/issues/321)
+  - [Better UX for mult-versioned documentation](https://github.com/jupyter-book/mystmd/issues/1458)
+  - [Bibliography styling in HTML](https://github.com/jupyter-book/mystmd/issues/1462)
+  - [Automatic API documentation generation](https://github.com/DeepLabCut/DeepLabCut/pull/2712)
+- And we found a bug in the [table of contents validation](https://github.com/jupyter-book/mystmd/issues/1456) 🐞
+
+## Summary
+
+Hackathons are a great way for quickly imparting knowledge and gathering feedback in a short space of time. The event spurred rapid contributions to the MyST ecosystem – embracing reuse of the MyST quick start guides saved time and effort, while engaging with users directly closed a tight feedback loop for enhancements.
+
+## Acknowledgments
+
+We would like to thank the [Makenzie Mathis Lab](http://www.mackenziemathislab.org/) for hosting Chris Holdgraf at EPFL, Lausanne, Switzerland.