Generators simplify creating iterators using the yield keyword.
An iterator in Python is any object with the iter() and next() methods, allowing iteration over data. A generator is a simpler way to create iterators using the yield keyword inside a function. Generators are memory-efficient since they produce items on demand (lazy evaluation). They are widely used for handling large datasets, streams, and infinite sequences without consuming too much memory.
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