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When using a for-loop over an iterator, the iterator protocol in Python says to keep returning elements until you run out, at which point you throw an exception. So every loop over an iterator or iterable object in python throws an exception when it is done. https://docs.python.org/3/library/stdtypes.html#iterator.__n...

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While that's true at the Python language level, there are already special optimizations for this in CPython: `tp_iternext` is not required to set an exception. If it returns NULL without setting an exception, that's taken to be the end of iteration.

If you call `next()` in Python, this special case is translated to a `StopIteration` exception. But if you use a for-loop, it can directly stop iterating without ever materializing the `StopIteration` exception. So the overhead of Python raise/try-except is already irrelevant for the for-loop.

TIL, thanks for explaining, indeed would have expected exceptions to be pretty cheap also if I knew this.

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