JIT compilers for Python, what is the latest news?

[Robert Kern]

On 2013-04-05 09:39, John Ladasky wrote:
> On Friday, April 5, 2013 1:27:40 AM UTC-7, Chris Angelico wrote:
>> 1) Can you optimize your algorithms? Three days of processing is... a LOT.
>
> Neural network training.  Yes, it takes a long time.  Still, it's not the most tedious code I run.  I also do molecular-dynamics simulations with GROMACS, those runs can take over a week!
>
>> 2) Rewrite some key portions in C, possibly using Cython (as MRAB suggested).
>
> And as I replied to MRAB, my limiting code is within Numpy.  I've taken care to look for ways that I might have been using Numpy itself inefficiently (and I did find a problem once: fixing it tripled my execution speed).  But I would like to think that Numpy itself, since it is already a C extension, should be optimal.

Well, Psyco obviously wasn't optimizing numpy. I believe the suggestion is to 
identify the key parts of the code that Psyco was optimizing to get you the 20% 
performance increase and port those to Cython.

-- 
Robert Kern

"I have come to believe that the whole world is an enigma, a harmless enigma
  that is made terrible by our own mad attempt to interpret it as though it had
  an underlying truth."
   -- Umberto Eco