Python definitely has more mindshare for machine learning, and particularly deep learning. However, that’s not all of statistics. For things like mixed-effects modeling, I think R still has a clear lead. There are some python packages (e.g., statsmodels) but R’s lme4 has more features, like custom covariance structures, and virtually every textbook and tutorial currently uses R. I’m actually not sure if I’ve ever actually encountered statsmodels in the wild. PyMCMC is relatively popular, but I think bugs/jags are also more common.