Generators provide lazy evaluation from "summary" of Fluent Python by Luciano Ramalho
Generators provide lazy evaluation, which means that they yield items one at a time using the yield keyword, rather than returning a whole list of items at once. This is a powerful concept because it allows us to work with large sequences of data without having to store them all in memory at once. By using lazy evaluation, we can create generators that only generate the next item in the sequence when it is actually needed. This can be much more memory-efficient than eagerly generating all the items upfront. Lazy evaluation is particularly useful when working with very large datasets that would not fit into memory all at once. Generators can be thought of as a way to generate items on-the-fly as they are requested, rather than generating everything upfront. This can lead to significant performance improvements in certain situations, especially when dealing with large datasets o...
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