docs/examples/newparallel/demo/map.py

from IPython.zmq.parallel.client import *

client = Client()

@remote(client, block=True)
def square(a):
    """return square of a number"""
    return a*a

squares = map(square, range(42))

# but that blocked between each result; not exactly useful

square.block = False

arlist = map(square, range(42))
# submitted very fast

# wait for the results:
squares2 = [ r.get() for r in arlist ]

# now the more convenient @parallel decorator, which has a map method:

@parallel(client, block=False)
def psquare(a):
    """return square of a number"""
    return a*a

# this chunks the data into n-negines jobs, not 42 jobs:
ar = psquare.map(range(42))

# wait for the results to be done:
squares3 = ar.get()

print squares == squares2, squares3==squares
# True