Python Generator

#################################################
## Uses of Generators:
##   1) It will automatically takes care of __iter__() and next()/__next__() 
##   2) More easy to use
##   3) It won't load everything in memory, so it consumes less memory (memory efficient)
#################################################

def generatorFunction(listA):
for each in listA:
yield each

print '------'
ic = generatorFunction(['A','B','C'])
for each in ic:
print(each)

print '------'
ic = generatorFunction(['A','B','C'])
print (ic)
print(next(ic))
print(next(ic))
print(next(ic))
#print(next(ic)) #This raises StopIteration

print (ic)

print '$$$$$$$$'
# This will not print anything, since generator got exhausted as we earlier called next() many times already
# You have to re-initialize generator object again
for each in ic: 
print(each)

ic = generatorFunction(['A','B','C'])
print '#########'

for each in ic:

print(each)


Output:

------

A

B

C

------

<generator object generatorFunction at 0x7f82ddcaca50>

A

B

C

<generator object generatorFunction at 0x7f82ddcaca50>

--$$$$$----

--#####----

A

B

C