Python Generators

Internal

• Python Language
• reversed()

TODO

• PROCESS IPy Generators Page 101.
• PROCESS PyOOP "Generator expressions"
• PROCESS PyOOP "Generators" + "Yield items from another iterable"

Overview

A generator is a way to construct a new iterable object. Whereas normal functions execute and return a single result at a time, generators can return a sequence of multiple values by pausing and resuming execution each time the generator is used. To create a generator, use the yield keyword instead of return in a function.

Use Cases

Create a list with a generator.