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with executable code examples that you can easily run and modify:\n\n#### On the Cloud\n\nAll notebooks can be run via the Mybinder.org 'Launch Binder' badge at the top of this page. This will load a pre-configured JupyterLab interface with all tutorial notebooks for you to run. _You have minimal computing resources and any changes you make will not be saved._\n\n#### Github Codespaces\n\nThis tutorial is available to run within [Github Codespaces](https://github.com/features/codespaces) - \"a development environment that's hosted in the cloud\"\n\n[![Open in GitHub Codespaces](https://github.com/codespaces/badge.svg)](https://codespaces.new/xarray-contrib/xarray-tutorial/tree/main)\n\n☝️ Click the button above to go to options window to launch a Github codespace.\n\nGitHub currently gives every user [120 vCPU hours per month for free](https://docs.github.com/en/billing/managing-billing-for-github-codespaces/about-billing-for-github-codespaces#monthly-included-storage-and-core-hours-for-personal-accounts), beyond that you must pay. **So be sure to explicitly stop or shut down your codespace when you are done by going to this page (https://github.com/codespaces).**\n\nYou can also use the GitHub CLI to launch a codespace\n\n```\n# This will output a URL to use VSCode in the browser\ngh codespace create --repo xarray-contrib/xarray-tutorial\n# Optionally launch JupyterLab instead of vscode (after codespace has been created)\ngh codespace jupyter\n```\n\n#### Locally\n\nYou can also run these notebooks on your own computer! We recommend using [`pixi`](https://pixi.sh/latest/#installation) to ensure a fully reproducible Python environment:\n\n```bash\ngit clone https://github.com/xarray-contrib/xarray-tutorial.git\ncd xarray-tutorial\npixi run tutorial\n```\n\n### Building the Documentation Locally\n\nTo build and serve the tutorial website locally as a development server:\n\n1. Build the Jupyter Book:\n\n```bash\npixi run build\n```\n\n2. Serve the built site locally:\n\n```bash\npixi run python -m http.server --directory _build/html\n```\n\nThen visit http://localhost:8000 in your browser.\n\nNote: The `build` command does not have live rebuilding. You'll need to re-run `pixi run build` after making changes to see updates.\n\n## Contributing\n\nContributions are welcome and greatly appreciated! See our [CONTRIBUTING.md](./CONTRIBUTING.md) document.\n\nThanks to our contributors so far!\n\n[![Contributors](https://contrib.rocks/image?repo=xarray-contrib/xarray-tutorial)](https://github.com/xarray-contrib/xarray-tutorial/graphs/contributors)\n\n## Acknowledgements\n\nThis 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 material development specifically was supported by NASA's Open Source Tools, Frameworks, and Libraries Program (award 80NSSC22K0345).\n","funding_links":[],"readme_doi_urls":[],"works":{},"citation_counts":{},"total_citations":0,"keywords_from_contributors":["zarr","pangeo","climate","compressed","ndimensional-arrays","pydata","data-catalog","geospatial-data","closember","hydrology"],"project_url":"https://ost.ecosyste.ms/api/v1/projects/21797","html_url":"https://ost.ecosyste.ms/projects/21797"}