For exploring data, plotting data, and fitting complex models like GLMs and GAMs, using R is essentially as fast as thought at this point.

So if you have tabular data, it’s a no brainer to use R.

Getting the data into table form is often better suited for python. Fitting models that leverage autograd are also better with python.