arcadia-computational-training

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arcadia-computational-training

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Computational training materials developed for or delivered at Arcadia

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# Arcadia Computational Training

This repository houses computational training materials developed for or delivered at Arcadia.
The repository is still a work in progress so things may shift around as we settle on an organizational structure.

The content in this repository is meant to present a sensible set of defaults for common computational tasks in biology at the time that the content is added to the repo.

## Building and deploying a site with MkDocs

[MkDocs](https://www.mkdocs.org/) is a static site generator that integrates nicely with GitHub to build websites from repositories.

The file [mkdocs.yml](mkdocs.yml) controls the website layout and organization of the website (as opposed to this being controlled by the file structure in the repository).

This website uses the [Material](https://squidfunk.github.io/mkdocs-material/) theme.
The [installation & usage](https://mkdocs.github.io/mkdocs-bootswatch/#installation-usage) instructions were added to the [.github/workflows/gh-pages.yml](.github/workflows/gh-pages.yml) as the first `run` directive.

For complete documentation on getting started with MkDocs, see their [getting started documentation](https://www.mkdocs.org/getting-started/).
If you have conda (version `4.13.0`) and mamba (version `0.25.0`) installed, you can run the following to use the MkDocs built-in dev-server:

```
mamba env create -n mkdocs --file environment.yml
conda activate mkdocs
mkdocs serve
```

Then in your browser, navigate to the URL printed to standard out.

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