On vendredi 20 février 2009, Stef Mientki wrote:
> > I'm looking for examples from people who have written large PyQt
> > applications and I would like to hear your opinions on what worked
> > well and what did not specifically with choosing python over C/C++.
> > In particular, how does your python application handle tasks that
> > require a lot of computation? How does it handle multiple thread
> > performance given python's limitations on only running on one CPU
> > (global interpreter lock)?
>
> A Python *program* can utilize more than one core, just Python *code*
> can't run on multiple cores in parallel. Everytime a C function calls
> code that doesn't use the Python API it can chose to release the GIL.
> That way a Python program can wrap a library and use as many cores as
> possible.
There are a lot of C-based libraries for computation which are very fast
(numpy and co). I've also read that some libs are looking at GPU for fast
signal processing...
--
Frédéric
http://www.gbiloba.org
_______________________________________________
PyQt mailing list PyQt@riverbankcomputing.com
http://www.riverbankcomputing.com/mailman/listinfo/pyqt
