Oh how I wish this was the data scientists I work with

Not me!

I remember trying to get shiny working for a statistician. Bad tooling. This was about 3 years ago.

I really wanted it to be severless but at the time it wasn't really possible.

I have since seen a cool web assembly method where it runs all the shiny stuff in the browser

I considered looking at R once. As a data scientist and an experienced Python user, maybe I'll see something useful. Then I learned that R uses <- for variable assignment and = for equality evaluation, and I stopped learning because I would make that mistake if I learned to switch back and forth for the rest of my life.