Simple task farming example

In [1]:
from IPython.parallel import Client

A Client.load_balanced_view is used to get the object used for working with load balanced tasks.

In [2]:
rc = Client()
v = rc.load_balanced_view()

Set the variable d on all engines:

In [3]:
rc[:]['d'] = 30

Define a function that will be our task:

In [4]:
def task(a):
    return a, 10*d, a*10*d

Run the task once:

In [5]:
ar = v.apply(task, 5)

Print the results:

In [6]:
print "a, b, c: ", ar.get()
a, b, c:  [5, 300, 1500]
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