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Add small readme
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workshops/scipy2023/README.md

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@@ -19,6 +19,16 @@ See instructions to set up the environment for running the tutorial material [he
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For the live tutorial, we will be using the SciPy 2023 Nebari JupyterHub. Instructions for the live
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tutorial will be added soon.
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## Github Codespaces
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This tutorial is available to run within github codespaces with the conda environment specification
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in the [`conda-lock.yml`](../../conda/conda-lock.yml) file.
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[![Open in GitHub Codespaces](https://github.com/codespaces/badge.svg)](https://github.com/codespaces/new/xarray-contrib/xarray-tutorial/tree/main?devcontainer_path=.devcontainer%2Fscipy2023%2Fdevcontainer.json)
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Click the button above to launch the github codespaces. Once it's launched, a terminal will open. To use the Jupyter lab interface, simply run the command `jupyter lab` within the terminal to get the url,
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at which point, you can click and open up the Jupyter lab interface.
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## Outline
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**🏗️ Outline coming soon! Please check back later**

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