Using IPython Jupyter Magic commands to improve the notebook experience

1

Jupyter

Note. Nowadays, there are many flavors of notebooks (Jupyter, VSCode, Databricks, etc.), but they’re all built on top of IPython. Therefore, the Magics developed should be reusable across environments.

#Data Science And Machine Learning #Data Science Tools #Data Science Notebooks 205 social mentions

2

Hamilton

In this post, we’ll show how your team can turn any utility function(s) into reusable IPython Jupyter magics for a better notebook experience. As an example, we’ll use Hamilton, my open source library, to motivate the creation of a magic that facilitates better development ergonomics for using it. You needn’t know what Hamilton is to understand this post.

#Application And Data #Languages & Frameworks #Microframeworks (Backend) 4 social mentions