sure sure, they are used for the same purpose most of the time (quick and drty but efficient data processing/viz). But not by the same persons ^^'

An example in biology is that R is often used by the bio-informaticians for their analysis (legacy code, LOT of packages etc...) but when an application is needed for biologists... Well py may be quicker ! Not always true (clearly) but i is just an example