[rpier001]

R is the better EDA language by far. Python has caught up a lot. Notebook diffs are now readable in git with the right tooling, that's huge.

The drum about not fitting into data pipelines... if you're literally using a bash pipe its true most R programmers have no idea how to do that. Otherwise, that is where Docker and k8s shine.

On packaging. R's package authority runs tests and ensures that all packages work with the latest version of their peers. The dependency heck is much less deep as a result.

We use R at my employer still because we put statistical data science into production. Our experts come to us comfortable with R. Reimplementation would be absurd.