The papermill package provides a simple command-line interface that interprets and then executes a Jupyter notebook and then stores the results in a new notebook file. In this recipe, we gave the first argument – the input notebook file –sample.ipynb and the second argument – the output notebook file –output.ipynb. The tool then executes the code contained in the notebook and produces the output. The notebook's file format keeps track of the results of the last run, so these results are added to the output notebook and stored at the desired location. In this recipe, this is a simple local file, but papermill can also store to a cloud location such as Amazon Web Services (AWS) S3 storage or Azure data storage.
In step 2, we added the --kernel python3 option when using the papermill command-line interface. This option allows us to specify the kernel that is used to execute the Jupyter notebook. This might be necessary to prevent...