I use python for more data engineering, large scale processing, and PyTorch.

In my experience, the specific things R does well, python does it in a clunkier way.

Statistical software written by statisticians in academia, bioconductor, and quick prototyping is still much faster in R than in python.

My use case is to prototype in R, then move to python if things become more production rather than exploratory.

Python can of course do the same, its just so much clunkier to do it.

Python isn't really an advancement. But it's a more obvious choice for people with a background in software engineering. I have some hopes for Julia though.

As someone who used ruby (yes real ruby, not rails) before python or R, I definately think R is better for data science and ruby better for everything else. Sadly, I predict a future where python rules over everything.