To be honest, when you talk about any type of 'data science' in industry, you're often talking about things like Microsoft's PowerBI, SQL Server and so on. The gap between the data science I've studied and practiced, for example (Bayesian modelling, Stan, R, JAGS etc etc) and what is actually out there is pretty big (it's often just descriptive stats of things of interest to business managers -- like an interactive PowerPoint presentation). So both Python and R are quite exotic for most people (at least where I work, in São Paulo). I agree that Python has advanced very quickly lately in Deep Learning/ML, but it's early days for the applicatiuon of these things into everyday business activities, so who knows? And like we've been discussing over on this thread https://forum.posit.co/t/r-python-in-ide/279/5, the best thing is to integrate all the best tools (Python and R are not sooo different) in, ideally, a great IDE like RStudio.
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