I am willing to concede, but also willing to argue that vector and data frame manipulations in R are calls to optimized code.
Like, R is “what if we made a lisp inspired version of Python built around numpy and pandas and then reversed timed”
Like, R is “what if we made a lisp inspired version of Python built around numpy and pandas and then reversed timed”
And data.tables in R is faster (and I think nicer to write) than DataFrames in Julia. And since data.tables feed my optimization, R still wins.