I want to use multithreading to make my script faster... I'm still new to this. The Python doc assumes you already understand threading and what-not.

So...

I have code that looks like this

from itertools import izip
from multiprocessing import Pool

p = Pool()
for i, j in izip(hugeseta, hugesetb):
    p.apply_async(number_crunching, (i, j))

Which gives me great speed!

However, hugeseta and hugesetb are really huge. Pool keeps all of the _i_s and _j_s in memory after they've finished their job (basically, print output to stdout). Is there any to del i, and j after they complete?