I think Python may be closer to ready if you're doing Bayesian stats. Going through some quantitative coursework for a phd in a social science, my experience has been that for frequentist stats, R has everything and Python has a tiny fraction.
On the other hand, I'm taking a Bayesian course now, and am thinking that I could probably do the whole works in Python with little effort. That said, I'm not sure doing things in Python would actually buy me anything over R. If I were to do something other than R it would probably be something like Julia or Clojure, but that would also be more for my amusement rather than for any practical reason.
On the other hand, I'm taking a Bayesian course now, and am thinking that I could probably do the whole works in Python with little effort. That said, I'm not sure doing things in Python would actually buy me anything over R. If I were to do something other than R it would probably be something like Julia or Clojure, but that would also be more for my amusement rather than for any practical reason.