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README.md

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Contributions are welcome and greatly appreciated! See our [CONTRIBUTING.md](./CONTRIBUTING.md) document.
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Thanks to our contributors so far!
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[![Contributors](https://contrib.rocks/image?repo=xarray-contrib/xarray-tutorial)](https://github.com/xarray-contrib/xarray-tutorial/graphs/contributors)
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## Acknowledgements
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This website is the result of many contributions from the Xarray community! We're very grateful for everyone's volunteered effort as well as [sponsored development](https://xarray.dev/#sponsors). Funding for SciPy 2022, SciPy 2023 tutorial materialdevelopment specifically was supported by NASA's Open Source Tools, Frameworks, and Libraries Program (award 80NSSC22K0345).

workshops/scipy2023/README.md

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## Instructions
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See instructions to set up the environment for running the tutorial material [here](get-started).
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### Nebari
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For the live tutorial, we will be using the SciPy 2023 Nebari JupyterHub at [scipy.quansight.dev](https://scipy.quansight.dev/)
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You can follow [this participants' guide to register and sign-in to Nebari](https://docs.google.com/document/d/1vnWhNyUBRpILb2MAHQfTmZQY3pCIaCmroV9ke49nQlE/edit), and:
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- Use this link to clone the tutorial materials:
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```
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https://github.com/xarray-contrib/xarray-tutorial.git
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```
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- Select `global-global-xarray` environment for the notebooks when prompted.
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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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### Running Locally
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See instructions to set up the environment for running the tutorial material [here](get-started).
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### Github Codespaces
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