# Super simple example of parallelising a for loop with multiprocessing

import multiprocessing

def whatever(i):
	print i


# The "if" container isn't necessary on Linux. However on Windows, without it
# the code will generate a fork bomb and thousands of Python processes will be 
# spawned and basically mess everything up.
if __name__ == '__main__':		
	pool = multiprocessing.Pool()

	pool.map(whatever,range(10))

# Returns :
#0
#1
#2
#4
#3
#6
#5
#8
#7
#9
# Note that they're out of order !!

# Equivalent standard code :

for i in range(10):
	print i
	
# Returns	
#0
#1
#2
#3
#4
#5
#6
#7
#8
#9