[EMAIL PROTECTED] wrote: > I'm not seeing much benefit from psyco (only 5-10% faster). Maybe this > example is too trivial? Can someone give me some pointers as to what > kind of code would see a dramatic benefit? > > Here's the code: > > import time > import psyco > > n = 100000 > > t1 = time.clock() > l = list(range(0,n)) > l2 = [x**2 for x in l] > t2 = time.clock() > no_psyco = t2 - t1 > > psyco.log() > psyco.full() > > t1 = time.clock() > l = list(range(0,n)) > l2 = [x**2 for x in l] > t2 = time.clock() > > with_psyco = t2 - t1 > > print 'without psyco = ',no_psyco > print 'with psyco = ',with_psyco > print 'delta = ',(((no_psyco - with_psyco)/no_psyco) * 100),'%' >
Place all the code in a function. Even without psyco you might get somewhat better performances then. And I doubt psyco can optimise code that isn't in a function anyway. And lastly, most of the code is probably spend computing x**2 which is already optimised C code. -- http://mail.python.org/mailman/listinfo/python-list
