Generators in Python !
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In Python, a generator is a type of iterable, like a list or a tuple, but unlike those objects, it does not store all its values in memory at once. Instead, it generates (i.e., computes) each value on-the-fly, as you iterate over it.
Generators are defined using a special kind of function that contains one or more yield statements. A yield statement is similar to a return statement, but instead of ending the function and returning a value, it temporarily suspends the function's execution and returns a value to the caller. The next time the generator is iterated over, execution resumes from where it left off, with all the local variables still intact.
In Python, generators are used to lazily generate a sequence of values on-the-fly. The next() function is used to retrieve the next value from a generator.
When you call next() on a generator object, the generator resumes execution from where it left off and computes the next value in the sequence. If there are no more values to generate, the generator raises the StopIteration exception to signal the end of the sequence.
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