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On Sat, Sep 25, 2010 at 11:24:26PM +0200, Arnold Krille wrote:

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

> > 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).

> >

> > 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

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

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

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

> definitely to slow for various tasks like audio. 

That seems like a great way to develop applications.
I mention perl's profiler, because in developing Nama,

it was quite convenient.
I developed functions naively, without caching

provisions. When I noticed it was running slow for

hundreds of tracks, Devel::NYTProf showed me

exactly how many subroutine calls were taking

how much time.
Porting time-critical functions to c/C++ hasn't been

much issue for me, since I already use a speed

optimized engine for audio processing (Ecasound :-)
> And because python afaik still

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

> threading. Which you work around by re-implementing your heavy-math parts in C

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

> created and managed from python)...

What, no native threads. Mock horror! 
Best,
Joel
> Have fun,

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>

> Arnold

--

Joel Roth

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