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Generator v regular function
Functions, Modules and Packages example from a Well House Consultants training course
More on Functions, Modules and Packages [link]

This example is described in the following article(s):
   • Python's Generator functions - [link]

Source code: genex Module: Y105

"""Illustration of how a generator function
works. allolist is a regular function and you'll
see every print statement from its call displayed
before the for loop that itertates through it.

bitolist is a generator and you'll see the print
statements in there ALTERNATING with the print
statements in the calling loop.

Generators save the generation of an intermediate
anonymous list and provide a more efficient way of
iterating through a large data set. They are
almost essential when you hit a huge data set!"""


def bitolist ():
     source = [10,3,4,6,30,4,5,4]
     for value in source:
         print("thinKING")
         yield value

def allolist ():
     source = [10,3,4,6,30,4,5,4]
     print("thickKING")
     return source

for number in allolist():
    print(number)

for number in bitolist():
    print(number)

""" Sample Output

WomanWithCat:y105 grahamellis$ python2 genex
thickKING
10
3
4
6
30
4
5
4
thinKING
10
thinKING
3
thinKING
4
thinKING
6
thinKING
30
thinKING
4
thinKING
5
thinKING
4
WomanWithCat:y105 grahamellis$ python3 genex
thickKING
10
3
4
6
30
4
5
4
thinKING
10
thinKING
3
thinKING
4
thinKING
6
thinKING
30
thinKING
4
thinKING
5
thinKING
4
WomanWithCat:y105 grahamellis$

"""

Learn about this subject
This module and example are covered on the following public courses:
 * Learning to program in Python
 * Python Programming
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Other Examples
This example comes from our "Functions, Modules and Packages" training module. You'll find a description of the topic and some other closely related examples on the "Functions, Modules and Packages" module index page.

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