generators created by adriaanbd - https://repl.it/@adriaanbd/generators

generators.py

name = "john joe doe dole"
names = name.split()

my_list = names

for item in names:
	print(item)

# Generators are iterators but you can only iterate over them once, because they do not store all values in memory and generate the values on the fly

my_generator = (x*x for x in range(3))
for item in my_generator:
	print(item)

# yield is a keyword used like return, except the function will return a generator

def create_generator():
	my_list = range(3)
	for item in my_list:
		# you can insert a condition here
		yield item*item

my_generator = create_generator()
print(my_generator)

for item in my_generator:
	print(item)



# An example. Look at how it only goes through the iterable once (DOESN'T WORK, FIGURE OUT WHY):

class Bank(): 
	crisis = False
	def create_atm(self):
		while not self.crisis:
			yield "$100"

hsbc = Bank()
corner_street_atm = hsbc.create_atm()
print(corner_street_atm.__next__())
print(corner_street_atm.__next__())

print([corner_street_atm.__next__() for cash in range(5)])  # if you increment the number it will keep printing the money

hsbc.crisis = True # crisis is coming, no more money!

print(corner_street_atm.__next__())
wall_street_atm = hsbc.create_atm() # it's even true for new ATMs

print(wall_street_atm.__next__())

hsbc.crisis = False # trouble is, even post-crisis the ATM remains empty

print(corner_street_atm.__next__())

brand_new_atm = hsbc.create_atm() # build a new one to get back in business

print([brand_new_atm.__next__() for cash in range(5)])
['$100', '$100', '$100', '$100', '$100']