... yield 2 >>> for i in f(): ... print(i) 1 2 >>> g = f() >>> next(g) 1 >>> next(g) 2 "Falling off the end" stops the generator: >>> next(g) Traceback (most recent call last): File "", line 1, in ? File "", line 2, in g StopIteration "return" also stops the generator: >>> def f(): ... yield 1 ... return ... yield 2 # never reached ... >>> g = f() >>> next(g) 1 >>> next(g) Traceback (most recent call last): File "", line 1, in ? File "", line 3, in f StopIteration >>> next(g) # once stopped, can't be resumed Traceback (most recent call last): File "", line 1, in ? StopIteration However, "return" and StopIteration are not exactly equivalent: >>> def g1(): ... try: ... return ... except: ... yield 1 ... >>> list(g1()) [] >>> def g2(): ... try: ... raise StopIteration ... except: ... yield 42 >>> print(list(g2())) [42] This may be surprising at first: >>> def g3(): ... try: ... return ... finally: ... yield 1 ... >>> list(g3()) [1] Let's create an alternate range() function implemented as a generator: >>> def yrange(n): ... for i in range(n): ... yield i ... >>> list(yrange(5)) [0, 1, 2, 3, 4] Generators always return to the most recent caller: >>> def creator(): ... r = yrange(5) ... print("creator", next(r)) ... return r ... >>> def caller(): ... r = creator() ... for i in r: ... print("caller", i) ... >>> caller() creator 0 caller 1 caller 2 caller 3 caller 4 Generators can call other generators: >>> def zrange(n): ... for i in yrange(n): ... yield i ... >>> list(zrange(5)) [0, 1, 2, 3, 4] aŠ