yield function python

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in python, the yield keyword is used in the context of generators. generators are a special type of iterable, allowing you to iterate over a potentially infinite sequence of values without needing to store them all in memory. the yield statement is crucial for defining generators.
a generator is a function that produces a sequence of values using the yield statement. unlike regular functions that return a value and then terminate, generators can be paused and resumed. this makes them useful for lazy evaluation and handling large datasets efficiently.
here's a simple example of a generator function:
when you run this code, you'll get the output:
the generator function simple_generator contains yield statements that produce values one at a time. each time the generator is iterated, it resumes execution from the last yield statement and continues until the next yield.
in a regular function, when you use the return statement, the function is terminated, and the local variables are discarded. on the other hand, in a generator function with yield, the local variables' state is preserved, and the function can be resumed from where it left off.
here's a comparison:
in the regular function, only the first return statement is executed, and the function terminates. in the generator function, each yield statement is executed one at a time when the generator is iterated.

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