{"id":20678220,"url":"https://github.com/codecentric/from-jupyter-to-production-workshop","last_synced_at":"2025-04-19T21:19:35.597Z","repository":{"id":74053679,"uuid":"300260716","full_name":"codecentric/from-jupyter-to-production-workshop","owner":"codecentric","description":"Workshop for production-ready data science projects.","archived":false,"fork":false,"pushed_at":"2024-10-24T14:17:35.000Z","size":5586,"stargazers_count":6,"open_issues_count":0,"forks_count":2,"subscribers_count":4,"default_branch":"master","last_synced_at":"2024-10-25T11:23:46.754Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"Jupyter 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Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# From Jupyter to Production\n\n## Production-ready Data Science Projects\n\nThis repository contains material for the workshop \"From Jupyter to Production\".\nThe goal of the workshop is to get a glimpse of production-readiness for data science and machine learning projects.\n\nWith the introductory Jupyter notebooks and the exercises found in the [notebooks](https://github.com/codecentric/from-jupyter-to-production-workshop/tree/master/notebooks)\ndirectory, you will learn how to\n\n- Versioning your data and models with DVC\n- Build pipelines with Dagster\n- Track experiments with MLflow\n- Deploy your model with FastAPI\n\nHaving installed docker, you can use JupyterLab for the exercises.\n\n## Start JupyterLab\n\nFirst clone the repository\n\n```bash\ngit clone https://github.com/codecentric/from-jupyter-to-production-workshop\ncd from-jupyter-to-production-workshop\n```\n\nand then execute the command\n\n```bash\ndocker compose up -d\n```\n\nYou can now use JupyterLab in your browser: [http://localhost:8888](http://localhost:8888)\n\n### Docker Images\n\nIf you want to pull the docker images separately\n\n```bash\ndocker pull codecentric/from-jupyter-to-production-baseimage\n```\n\nYou will find the source for the docker images here:\n\n[http://github.com/codecentric/from-jupyter-to-production-baseimage](http://github.com/codecentric/from-jupyter-to-production-baseimage)\n\n## Extra Repositories\n\nWe provide additional repositories for showcases that do not fit into the JupyterLab setup:\n\n- [Monitoring Showcase (FastAPI + Evidently + Streamlit)](http://github.com/codecentric/from-jupyter-to-production-monitoring)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcodecentric%2Ffrom-jupyter-to-production-workshop","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fcodecentric%2Ffrom-jupyter-to-production-workshop","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcodecentric%2Ffrom-jupyter-to-production-workshop/lists"}