They're not really directly comparable. Python is an general purpose programming language, R is a statistical processing tool.
You could compare R to Matlab, or R to python library with similar scope (numpy or pandas).
You could compare R to Matlab, or R to python library with similar scope (numpy or pandas).
It's more about use cases -- is it all about statistics, or is actual statistics only a small part? Is the focus primarily on research and exploration, or on implementation and deployment?