On Saturday, 9 January 2016 at 19:39:44 UTC, Jakob Jenkov wrote:
The communication is the easy part. The time consuming part is
converting R objects to D objects and vice versa. I've had to
learn the internals of R at the same time that I've learned D.
I've been working on it in my spare time for more than two
years.
Would it have been possible to make a D API for data analysis
instead? Or is that too big a job?
You could program anything in D that would run in R and it would
probably be faster (unless the R code is using some optimized
C/C++ code already). The issue is that D libraries for data
analysis aren't as developed and don't have as many people
working on them as R. You might be more productive calling an R
library than re-writing the same functionality in D.
