It may be better to extend a simple analysis in R than passing around CSV files. Even worse, there might be a new analysis package that only exists in R, or certain bits infrastructure are already implemented in R and it needs to incorporate a bit of Python analysis.

pythonistas can be a #rstats user, they just need examples of the similarities

differences between container objects, functions, dataframes, and how to use Python in an R environment and vice versa. This allows data scientists to work in their preferred language and still use each other's analysis in a larger analysis project.