It sounds like you don’t actually know R. Deployment in R is a one-click thing. In python it’s a complex path through virtual environments multiple incompatible

It sounds like you don’t actually know R. Deployment in R is a one-click thing. In python it’s a complex path through virtual environments multiple incompatible packaging tools and dependency managers, at times compiling some c dependencies yourself etc. anaconda originally gained popularity because it was the only way to get a student started with python-numpy-scipy that didn’t require extensive prior technical capabilities and tons of up front investment in reading through guides on how to configure and set everything up. I mostly use python and prefer it to R, but putting things into production is not a strength of python and R wins that comparison a thousand times over.