Summary
R has become hard to avoid when working with data; there is hardly a method in statistics or visualization that is not available, and there are many methods that are originally only available in R.
The Python-to-R bridge opens the whole library of R functions, classes, and datasets to the Python programmer by exposing an embedded R process and its objects through a Python library.