{"id":26163818,"url":"https://github.com/xarray-contrib/xarray-tutorial","last_synced_at":"2025-05-16T09:03:43.131Z","repository":{"id":37047656,"uuid":"146509903","full_name":"xarray-contrib/xarray-tutorial","owner":"xarray-contrib","description":"Xarray Tutorials","archived":false,"fork":false,"pushed_at":"2025-04-07T19:09:31.000Z","size":106590,"stargazers_count":186,"open_issues_count":24,"forks_count":113,"subscribers_count":11,"default_branch":"main","last_synced_at":"2025-04-30T14:15:55.509Z","etag":null,"topics":["hacktoberfest"],"latest_commit_sha":null,"homepage":"https://tutorial.xarray.dev/","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"apache-2.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/xarray-contrib.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":"CONTRIBUTING.md","funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null}},"created_at":"2018-08-28T21:40:12.000Z","updated_at":"2025-03-05T08:36:37.000Z","dependencies_parsed_at":"2023-11-23T05:36:40.885Z","dependency_job_id":"0b67faa0-8278-4092-a4cb-fe8c4ff40626","html_url":"https://github.com/xarray-contrib/xarray-tutorial","commit_stats":{"total_commits":175,"total_committers":29,"mean_commits":"6.0344827586206895","dds":0.76,"last_synced_commit":"3bc21577d7092fff2cc6cb6d833abb99f266aee7"},"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/xarray-contrib%2Fxarray-tutorial","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/xarray-contrib%2Fxarray-tutorial/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/xarray-contrib%2Fxarray-tutorial/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/xarray-contrib%2Fxarray-tutorial/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/xarray-contrib","download_url":"https://codeload.github.com/xarray-contrib/xarray-tutorial/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":251890337,"owners_count":21660501,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["hacktoberfest"],"created_at":"2025-03-11T14:53:12.995Z","updated_at":"2025-05-16T09:03:43.081Z","avatar_url":"https://github.com/xarray-contrib.png","language":"Jupyter Notebook","readme":"# Xarray Tutorial\n\n[![CI](https://github.com/xarray-contrib/xarray-tutorial/workflows/CI/badge.svg?branch=main)](https://github.com/xarray-contrib/xarray-tutorial/actions?query=branch%3Amain)\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/scipy2024/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 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\nOnce your codespace is launched, the following happens:\n\n- [Visual Studio Code](https://code.visualstudio.com/) Interface will open up within your browser.\n- A built in terminal will open and it will execute `jupyter lab` automatically.\n- Once you see a url to click within the terminal, simply `cmd + click` the given url.\n- This will open up another tab in your browser, leading to a [Jupyter Lab](https://jupyterlab.readthedocs.io/en/latest/) Interface.\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## 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":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fxarray-contrib%2Fxarray-tutorial","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fxarray-contrib%2Fxarray-tutorial","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fxarray-contrib%2Fxarray-tutorial/lists"}