Jupyter Notebooks are extremely useful when you do not have a defined final process and are still in the prototyping phase of your scripted workflow. As a GIS user, I have personally found Jupyter Notebooks to be extremely useful for the following three reasons: 1. Jupyter Notebooks have gained tremendous popularity in the Python data science community over the past years for a variety of reasons. The term “notebook” is very applicable, since the tool allows you to write snippets of self-contained executable code (named “cells”), note each procedure, and even visualize data you are working with at any step of the way. Jupyter Notebook is a powerful tool that allows Python users to create and share documents containing live code, visualizations, explanatory text, and equations.
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