Your generatorworks. You forgot to iterate over it though:

for elem in generator(100):    print elem

or you could turn it into a list:

print list(generator(100))

You instead printed the generator object produced by calling the generator function. A generator function produces asuspended generator. Only when you iterate over it is code executed (until the nextyield).

Demo:

>>> def generator(n):...     list_of = range(1,n+1)...     for i in list_of:...         if i % 7 == 0:...             yield i... >>> print list(generator(100))[7, 14, 21, 28, 35, 42, 49, 56, 63, 70, 77, 84, 91, 98]

Thelist() call iterates over the given argument, producing a Python list object with all elements yielded by the argument. Great for iterating over a generator to pull in all the elements that it produces.

As for KOD; that editor hasn't seen updates in years now; you may want to switch to something else. As theKOD twitter feed stated2 years ago:

Don't wait for me, I'm kind of like a Zombie. Go get Sublime Text@sublimehq which is awesome:http://www.sublimetext.com

I concur; Sublime Text is my current editor of choice.

Generators functions allow you to declare a function that behaves like an iterator, i.e. it can be used in a for loop. u can learn Here:generator

def generator(n):        list_of = range(1,n+1)        for i in list_of:            if i % 7 == 0:                yield i    for i in generator(100):        print i

or

You can usenext(generator(100)) to print one element at top

or

list(generator(100))

When calling the generator function you receive generator object. In order to get values you should iterate over this object. In you case you can dolist(generator(100))

But this doesn't make sense. Use list comprehension if you need list:

[x for x in range(1, 101) if x % 7 == 0]

• python
• generator
• yield