[Python-Dev] Python 3.3 vs. Python 2.7 benchmark results (again, but this time more solid numbers)

[Brett Cannon]

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.
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