Hands-On Reactive Programming with Python

Understanding generators

Generators are special functions that can be interrupted at specific locations in their code and can be resumed at a later time with their execution context being restored. Generators are an easy way to create an iterator.

An iterator is created by an iterable object. An iterable is a class that implements the __iter__ method. When called, the __iter__ method must return an iterator object; that is, an object that implements the next method. In many cases, the implementations of the iterable and the iterator are in the same class, and the implementation of __iter__ just return self. The next method must return the next value of the iterator each time it is being called. With generators, all this is much easier. The ...