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To: python-list@python.org
From: Mark Lawrence <breamoreboy@yahoo.co.uk>
Subject: Re: State of speeding up Python for full applications
Date: Thu, 26 Jun 2014 18:12:39 +0100
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On 26/06/2014 17:49, CM wrote:
> I'm reposting my question with, I hope, better
> formatting:
>
>
> I occasionally hear about performance improvements
> for Python by various projects like psyco (now old),
> ShedSkin, Cython, PyPy, Nuitka, Numba, and probably
> many others.  The benchmarks are out there, and they
> do make a difference, and sometimes a difference on
> par with C, from what I've heard.
>
> What I have never quite been able to get is the
> degree  to which one can currently use these
> approaches to speed up a Python application that
> uses 3rd party libraries...and that the approaches
> will "just work" without the developer having to
> know C or really do a lot of difficult under-the-
> hood sort of work.
>
> For examples, and considering an application
> written for Python 2.7, say, and using a GUI
> toolkit, and a handful of 3rd party libraries:
>
>
> - Can you realistically package up the PyPy
> interpreter and have the app run faster with PyPy?
> And can the application be released as a single file
> executable if you use PyPy?
>
> - Can you compile it with Nuitka to C?
>
> I've had the (perhaps overly pessimistic) sense
> that you still *can't* do these things, because
> these projects only work on pure Python, or if
> they do work with other libraries, it's always
> described with major caveats that "I wouldn't
> try this in production" or "this is just a test"
> sort of thing, such as PyPy and wxPython.
>
> I'd love to know what's possible, since getting
> some even modest performance gains would probably
> make apps feels snappier in some cases, and yet I
> am not up for the job of the traditional advice
> about "re-writing those parts in C".
>
> Thanks.
>

Have you tried everything listed here 
https://wiki.python.org/moin/PythonSpeed/PerformanceTips ?

-- 
My fellow Pythonistas, ask not what our language can do for you, ask 
what you can do for our language.

Mark Lawrence

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