[nerdponx]

It has nothing to do with interoperability on my machine. I use notebooks (and Pandas) all the time, and I consider myself fluent in bith R and Python.

It's because R is a substantial engineering dependency. As I said, our entire stack is Python and Node. Yes, you can call R from Python using Rpy2, but that's a pro-bono project maintained largely by one person. It's great for casual use, but there is far too much risk to start talking about building critical business code around it.

[baldfat]

So why not Pandas?

[nerdponx]

Personal preference. I switch back-and-forth based on the project.

R data frames are native and feel native. Pandas data frames are non-native and can be a pain in the ass to work with.

That, and there is a lot mpre to the decision than just which data frame implementation I like better.