Mastering Python Generators: Efficiently Manage Data with Yield

• A Generator object is an iterator, whose values are created at the time of accessing them.

• A generator can be obtained either from a generator expression or a generator function.

Example

x = [6, 3, 1]
g = (i**2 for i in x) # generator expression
print(next(g)) # -> 36

def gen_number():  # generator function
    x = [6, 3, 1]
    for i in x:
        yield i**2
x = gen_number()
next(x)            # -> 36