It really all boils down to what problem you're trying to solve, what kind of analysis you're trying to do, and what the performance requirements are. For basic

It really all boils down to what problem you're trying to solve, what kind of analysis you're trying to do, and what the performance requirements are. For basic stats, R and Python will be comparable in terms of library availability and functionality. If you start getting into more specialized and/or esoteric statistics, you will find more R packages (libraries) than you will Python libraries.