Daniel Gutierrez posted a pretty good summary of the recent discussions about the preferred or most productive or most used data processing environments (R or Python):
While R has traditionally been the programming language of choice for data
scientists, some believe it is ceding ground to Python. Here is a short list
of some the arguments I’ve heard of late, along with my personal assessment
The summary of a summary is that this conversation can be reduced to familiarity vs highly specialized algorithms.
Original title and link: Data Science Wars: Python vs. R