I haven't used tidyverse myself, but I know that pandas is heavily influenced and inspired by R. Most analysis tasks are doable in both platforms. If later stag

I haven't used tidyverse myself, but I know that pandas is heavily influenced and inspired by R. Most analysis tasks are doable in both platforms. If later stages of your pipeline involve deep learning (or machine learning, generally), then it could pay to be in the python universe given the wide adoption of python ML/DL tools. I generally wouldn't advise switching unless you have a certain pain point, though.