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On Saturday 25 September 2010 20:21:22 Joel Roth wrote:

quoted text
> On Sat, Sep 25, 2010 at 01:00:29PM +0200, Arnold Krille wrote:

> > Porting parts of your python project to C/C++ is easy (think prototyping

> > in python and port to compiled-language once the interface is finished

> > and the optimizations begin).

>=20

> For optimizing perl, we have Devel::NYTProf, which

> profiles the time spent in each subroutine. (As the name

> suggests, the New York Times underwrote the development

> costs.)

Hm. The idea I mainly have in mind is not to optimize your python code, but=

=20

prototype your app with its functionality in python and when all works as=20

expected (more or less), port the time-critical parts to c/C++. Not because=

=20

python is slow (it is compared to native asm) in general, but because it is=

=20

definitely to slow for various tasks like audio. And because python afaik s=

till=20

has the big interpreter lock, effectively suppressing any python multi-

threading. Which you work around by re-implementing your heavy-math parts i=

n C=20

and run them outside the interpreter lock (but still from within threads=20

created and managed from python)...
Have fun,
Arnold
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