In Python, the "tee" function, derived from the Unix command of the same name, is used to split a single iterable into multiple independent iterators. It resides in the itertools module, designed to handle iterative computations efficiently. By using "tee", you can duplicate an iterator to allow simultaneous but separate processing streams, facilitating diverse operations on the same set of data without reiterating the source.
This Python script demonstrates the use of itertools.tee to duplicate an iterator, enabling separate calculations of sum and average on the same data set efficiently. It ensures data is processed in parallel without redundant computations.
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