Summary
Generators are everywhere in Python. Since their inception in Python a long time ago, they proved to be a great addition that makes programs more efficient and iteration much simpler.
As time passed by, and more complex tasks needed to be added to Python, generators helped again in supporting coroutines.
And, while in Python coroutines are generators, we still don't have to forget that they're semantically different. Generators are created with the idea of iteration, while coroutines have the goal of asynchronous programming (suspending and resuming the execution of a part of our program at any given time). This distinction became so important that it made Python's syntax (and type system) evolve.
Iteration and asynchronous programming constitute the last of the main pillars of Python programming. Now, it's time to see how everything fits together and to put all of these concepts we have been exploring over the past few chapters into action...
