MultiProcessing for Simple Equations

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Im wondering if anyone cant tell me if multiprocessing can be used to speed

up equation solving for calculating really large numbers without having to use a

user defined function?  Im trying to run a routine either in python 3.4 IDLE or as a simple script.  The below takes an average of about 10 seconds to perform...

Id like to speed this up as much  as possible.  If I import multiprocessessing 

and if I use a pool ( I have two CPUS on my system), it seems the only thing

that  all the docs refer to is using this via a function (def), is there a way  to 

dump the below to multiprocessing with out having  to do that?  If  I cant do that

- can someone give me a code tip on how to wrap the below in a function statement that  will work in idle or as a script?  Am new to python and also to Sympy.....  thanks  for any feedback you can offer.  See code below ;

..............................

import sys

from sympy import mpmath

from mpmath import *

mpmath.mp.dps = 20000

import time

e0=time.time()

c0=time.clock()

xxx = mpmath.power(1.41, 0.249429034 * 4500)

xy1 = xxx * 110.4807667

result1a = '%.2f'%((xy1) % 1080)

print(result1a)

elapsed_time=time.time() -e0

cpu_time=time.clock() -c0

print(cpu_time)