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The docs only say that Python interpreter performs “basic optimizations”, without going into any detail. Obviously, it’s implementation dependent, but is there any way to get a feel for what type of things could be optimized, and how much run-time savings it could generate?
Is there any downside to using -O?
The only thing I know is that -O disables assert, but presumably one shouldn’t use assert for things that could still go wrong in production.
In Python 2.7,
-Ohas the following effect:.pyo__debug__is FalseIn addition
-OOhas the following effect:To verify the effect for a different release of CPython, grep the source code for
Py_OptimizeFlag.Link to official documentation: https://docs.python.org/2.7/tutorial/modules.html#compiled-python-files