For a fast implementation of Python

[cmdrrickhunter@yaho.com]

Psyco does some JIT compiling of Python, supposedly making it faster.
You do need to think a bit, however, beforehand.
If you really thing that the "speed" of execution is important for your
application, a scripting language such as python may be the wrong tool.
 A language such as C++ or Java which is designed to be a compiled
language can be optimized much faster than python because they impose
more rules.

Some more information about what you intend to do with python may help
us guide you better.  If its hardcore matrix multiplication, Numpy and
its derivates may help speed your code up.

Bruno Desthuilliers wrote:
> . wrote:
> > What is the fast way for a fast implementation of Python?
>
> Please define "fast".
>
> --
> bruno desthuilliers
> python -c "print '@'.join(['.'.join([w[::-1] for w in p.split('.')]) for
> p in 'onurb at xiludom.gro'.split('@')])"