Jupyter notebooks are a popular medium for writing Python code for scientific and data-based applications. A Jupyter notebook is really a sequence of blocks that are stored in a file in JavaScript Object Notation (JSON) with the ipynb extension. Each block can be one of several different types, such as code or markdown. These notebooks are typically accessed through a web application that interprets the blocks and executes the code in a background kernel that then returns the results to the web application. This is great if you are working on a personal PC, but what if you want to run the code contained within a notebook remotely on a server? In this case, it might not even be possible to access the web interface provided by the Jupyter notebook software. The papermill package allows us to parameterize and execute notebooks from the command line.
In this recipe, we'll learn how to execute a Jupyter notebook from the command...
