Generators
Generators are one very powerful tool that Python gifts us with. They are based on the concepts of iteration, as we said before, and they allow for coding patterns that combine elegance with efficiency.
Generators are of two types:
Generator functions: These are very similar to regular functions, but instead of returning results through return statements, they use yield, which allows them to suspend and resume their state between each call
Generator expressions: These are very similar to the list comprehensions we've seen in this chapter, but instead of returning a list they return an object that produces results one by one
Generator functions
Generator functions come under all aspects like regular functions, with one difference: instead of collecting results and returning them at once, they can start the computation, yield one value, suspend their state saving everything they need to be able to resume and, if called again, resume and perform another step. Generator functions are...
