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# From Jupyter to Production
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- JupyterLab and Mlflow image for workshop: From Jupyter to Production - production-ready data science projects.
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+ JupyterLab and Mlflow image for workshop: From Jupyter to Production - production-ready data
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+ science projects.
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https://github.com/codecentric/from-jupyter-to-production-workshop
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## Build & Push
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- A github action is defined to push a new version of the image to Docker Hub every time a new ` git tag ` is pushed to the repository.
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- The git tag is also used for the Docker images. An image tag with the git tag and the ` latest ` tag is published for each Docker build.
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+ A github action is defined to push a new version of the image to Docker Hub every time a new
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+ ` git tag ` is pushed to the repository.
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+ The git tag is also used for the Docker images. An image tag with the git tag and the ` latest ` tag
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+ is published for each Docker build.
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No need to do anything locally, besides testing the build with ` docker build . `
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- The build is quite memory heavy, so assign a good amount of memory towards the docker engine (minimum 4gb, better 6gb)
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+ The build is quite memory heavy, so assign a good amount of memory towards the docker engine
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+ (minimum 4gb, better 6gb)
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## Run on Mac & Linux
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You can’t perform that action at this time.
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