Python allows free creation of plots, unlike expensive, stagnant graphing calculators ... as it has a lot of features to make interactive use easier and it's the basis for using Python in Jupyter.

The next plot is the 3D Surface plot and for that, we need to create some data using pandas as you see in the following: You should get something like: Now let’s throw this on a 3d chart using ...

Here are a few reasons why: Why visualize in Observable if you already generate plots with R or Python ... add interactive filters on your data that control what appears in tables and graphs.