[Python-Dev] Python 3.3 vs. Python 2.7 benchmark results (again, but this time more solid numbers) (original) (raw)
Brett Cannon brett at python.org
Sun Oct 28 00:07:48 CEST 2012
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On Sat, Oct 27, 2012 at 5:07 PM, Paul Moore <p.f.moore at gmail.com> wrote:
On 27 October 2012 21:58, <martin at v.loewis.de> wrote: > > Zitat von Tim Delaney <timothy.c.delaney at gmail.com>: > > >> To be clear - I'm not suggesting Cython become part of the required >> build >> toolchain. But if the Cython-compiled extensions prove to be >> significantly faster I'm thinking maybe it could become a semi-supported >> option (e.g. a HOWTO with the caveat "it worked on this particular >> system"). > > > This should compare to zipping the standard library, which has been a > supported > configuration for a long time, and also avoids many stat calls.
Interestingly, I just did a quick test of this: This is on my Windows 7 PC, running under Powershell. D:\Apps\Python33 is a standard installation, whereas D:\Dev\P33 has a zipped stdlib: PS 22:02 D:\Data >foreach ($i in 1..10) { measure-command { D:\Apps\Python33\python.exe -c "raise SystemExit" } | % { $.TotalSeconds } } 0.0737877 0.1014695 0.0950326 0.0910734 0.0689548 0.084994 0.0772204 0.0958197 0.0696385 0.0806066 PS 22:03 D:\Data >foreach ($i in 1..10) { measure-command { D:\Dev\P33\python.exe -c "raise SystemExit" } | % { $.TotalSeconds } } 0.1922151 0.1879894 0.2455766 0.2842425 0.1937161 0.2168928 0.2441508 0.1860206 0.1866409 0.1897004 Looks like the normal configuration is over twice as fast as the zipped one...
Are both debug builds (asking because of the path names)? CPython is now significantly slower in a debug build thanks to the overhead it adds to any Python code executing, which means importlib runs much slower. -------------- next part -------------- An HTML attachment was scrubbed... URL: <http://mail.python.org/pipermail/python-dev/attachments/20121027/8e05c400/attachment.html>
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