It really depends on what you mean by 'text processing' - if the critical section of your code is essentially a loop that iterates over characters/words of large strings, then Julia could be between 1 and 2 orders of magnitude faster.
If you mean the performance of core string-processing library functions like "replace" and regular expression matching, speed will likely be within 2x of Python in either direction, although AFAIK it has not been rigorously benchmarked. I am using Jula extensively for text processing so I'm happy to discuss your specific workflow in more detail. I and a few other Julia contributors are eager to have Julia be a strong player in text processing. On Wednesday, September 2, 2015 at 8:50:12 AM UTC-4, Venkat Ramakrishnan wrote: > > Thanks Mauro. > > Unfortunately, the video doesn't mention any performance benchmarks > that they considered as compared to other languages, before they selected > Julia. Nor their website mentioned in the video. > > Anyone else have clues/pointers to information? > > Regards, > Venkat. > > On Wednesday, 2 September 2015 00:13:03 UTC+5:30, Mauro wrote: >> >> This may have answers: >> https://youtu.be/dgfIIZ5yA4E >> (though I haven't watched it yet) >> >> On Tue, 2015-09-01 at 14:42, Venkat Ramakrishnan <venkat.a...@gmail.com> >> wrote: >> > Folks, >> > >> > How fast is Julia compared to other languages like R and Python in text >> > processing? >> > Any benchmarks? >> > >> > Any parallel processing facility specifically available for text >> processing >> > in Julia? >> > >> > Thanks, >> > Venkat. >> >>
