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Groups > comp.lang.python > #95134
| From | Laura Creighton <lac@openend.se> |
|---|---|
| Subject | Re: Python speed |
| References | <2261c8c6-77ba-453d-9205-0a922fa67c81@googlegroups.com><04b7cdd0-1eb0-4378-9d14-38e97b4456a7@googlegroups.com> |
| Date | 2015-08-07 19:17 +0200 |
| Newsgroups | comp.lang.python |
| Message-ID | <mailman.1312.1438967902.3674.python-list@python.org> (permalink) |
In a message of Fri, 07 Aug 2015 09:57:26 -0700, beliavsky--- via Python-list w rites: >On Friday, August 7, 2015 at 10:08:37 AM UTC-4, roge...@gmail.com wrote: >> Can anyone compare PyNum calculation speed to Fortran? >> >> This is for a number crunching program working with large files. >> >> Roger And for speed you may be better off with PyPy than with NumPy http://speed.pypy.org/timeline/ but, as is always the case when measuring the speed of things, 'it all depends on what you are doing'. Do you need to link to existing Fortran or C libraries? If the answer is no, and you really only are doing crunching, and your crunching is done in loops which run for a significant amount of time -- then PyPy is generally faster than Fortran. If you are spending most of your time in matplotlib graphing your results, you will be unhappy with PyPy performance. pypy-dev@python.org is a better place to discuss performance of PyPy, though while http://mail.scipy.org/mailman/listinfo/numpy-discussion is a better place to discuss numpy. scipy.org has been down all day, alas. But the Americans should be awake now and dealing with it. Laura
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Python speed rogerh906@gmail.com - 2015-08-07 07:08 -0700
Re: Python speed beliavsky@aol.com - 2015-08-07 09:57 -0700
Re: Python speed Laura Creighton <lac@openend.se> - 2015-08-07 19:17 +0200
Re: Python speed Christian Gollwitzer <auriocus@gmx.de> - 2015-08-07 23:26 +0200
Re: Python speed Laura Creighton <lac@openend.se> - 2015-08-08 00:01 +0200
Re: Python speed rogerh906@gmail.com - 2015-08-07 12:30 -0700
Re: Python speed Grant Edwards <invalid@invalid.invalid> - 2015-08-07 23:57 +0000
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