It really depends on what you want to do. For a lot of machine learning tasks and bread-and-butter statistical tools, you can get away with it. For a lot of mor

It really depends on what you want to do. For a lot of machine learning tasks and bread-and-butter statistical tools, you can get away with it. For a lot of more advanced statistics, it's going to be much, much harder. It's also a question of reliability - Python might have what you need, but if it's a statistical problem, R is much much more likely to have it.