2009/2/17 Esmail Bonakdarian <esmail...@gmail.com>: > Well, I have a program written in R which already takes quite a while > to run. I was > just wondering if I were to rewrite most of the logic in Python - the > main thing I use > in R are its regression facilities - if it would speed things up. I > suspect not since > both of them are interpreted, and the bulk of the time is taken up by > R's regression > calls.
- and the bulk of the time in the regression calls will be taken up by C code in the underlying linear algebra libraries (lapack, blas, atlas and friends). Your best bet for optimisation in this case would be making sure you have the best libraries for your architecture. That's a bit beyond me at the moment, others here can probably tell you about getting the best performing library for your system. This can also speed up Python (scipy or numpy) code that uses the same libraries. Barry ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
