One of the big differences is that Python is a general purpose programming language, which just happens to have great support for statistics through packages.

One of the big differences is that Python is a general purpose programming language, which just happens to have great support for statistics through packages. That means interfacing with a database is a very common workflow, and there are solid tools to do so like sqlalchemy. Now let's say you you want to calculate all this data and serve it on a webpage. R kind of falls over at this point. Python? No problem, you can start up a Flask webserver in half a dozen lines of code and have your data visible to all your fantasy team friends. Oh, you want to pull down the live data from the web, parse it from html/xml/csv, analyze it, put it into the database, and spit out the new analysis in realtime on your webpage? Python has you covered. R, not so much. To me Python also feels much more robust and well thought out as a language, but that could just be personal prejudice.