Python Programming: Lesson 27 - More Techniques for Generators

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In the previous lesson (https://youtu.be/oS8-phk3PME), we introduced the topic of generators in a general sense, although we had already seen multiple examples of them before. Here, we create our own generators, building on concepts established in the previous lesson and introducing a few new ones.

a , b = b , a switches the values of a and b in Python, REGARDLESS of data type. Not a thing in Java!

A generator is a function that YIELDS values. This means that it progressively returns values that can be shown or used in the context of a for loop. However, it itself is not an iterable. It's not a list or tuple with index positions. If you try printing a generator, it just shows generatorobject. If you really want a concrete data structure out of a generator, convert it to a list or tuple.

def generateMe( x , y ):
for y in range(y):
yield x+2

myCounter = 0
for t in generateMe(100,5):
if myCounter == 0:
print( t )
myCounter = myCounter + 1

print( myCounter ) # 102, then 5 on another line

2:24 Switching the Values of Two Variables
6:04 NEW: Generators that Accept no Inputs
10:38 Another Example with Generators
17:21 Final Example with Generators

Ready for list slicing and more string formatting? Proceed onward at your own pace! https://youtu.be/8yN6JW2dxj8 (lesson 28)

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