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Notebook","category":"Sustainable Development","sub_category":"Education","monthly_downloads":0,"total_dependent_repos":0,"total_dependent_packages":0,"readme":"# Xarray Tutorial\n\n[![Deploy Website to GitHub Pages](https://github.com/xarray-contrib/xarray-tutorial/actions/workflows/main.yaml/badge.svg)](https://github.com/xarray-contrib/xarray-tutorial/actions/workflows/main.yaml)\n[![Jupyter Book Badge](https://jupyterbook.org/badge.svg)](https://tutorial.xarray.dev)\n[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/xarray-contrib/xarray-tutorial/HEAD?labpath=workshops/scipy2025/index.ipynb)\n\nThis is the repository for a Jupyter Book website with tutorial material for [Xarray](https://github.com/pydata/xarray), _an open source project and Python package that makes working with labelled multi-dimensional arrays simple, efficient, and fun!_\n\nThe website is hosted at https://tutorial.xarray.dev\n\nTutorials are written as interactive Jupyter Notebooks 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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! 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