It has been on my bucket list for awhile now to expore Jupyter Notebooks as a solution for data analysis and computational story telling needs. I finally took the time to sit down and understand the tooling and authoring experience and figured I would document the process and share it. Installation process My local development environment is a MacBook Pro running Catalina. I started out by installing and launching the Jupyter Notebook server using Anaconda which was uber simple.

In late December Tesla pushed out a new major update to my Model Y dubbed “version 11.0” which included a revamped UI and a bunch of new features. Probably the coolest feature released was the Light Show which allows creators to use a sequence show tool called xLights to turn on/off or ramp various lights, open/close the windows, open/close the trunk, etc. The Tesla also included a default light show which at the time was holiday themed and got a good reaction from friends/family, pretty sweet to get OTA updates on a car right?