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Fix minor PyCharm issues
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# Custom Jupyter Notebook images
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This example provides scripts for building custom Jupyter Notebook images containing notebooks, data files, and with Python packages required by the notebooks already installed.
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The scripts provided work with the Source-to-Image tool and you can create the images from the command line on your own computer.
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The scripts provided work with the Source-to-Image tool, and you can create the images from the command line on your own computer.
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Templates are also provided to enable running builds in OpenShift, as well as deploying the resulting image to OpenShift to make it available.
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The build scripts, when used with the Source-to-Image tool, provide similar capabilities to `repo2docker`.
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This determines whether a `environment.yml` or `requirements.txt` file exists with the files and if so, runs the appropriate package management tool to install any Python packages listed in those files.
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This means that so long as a set of notebook files provides one of these files listing what Python packages they need,
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those packages will be automatically installed into the image so they are available when the image is run.
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those packages will be automatically installed into the image, so they are available when the image is run.
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A final step is:
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