Comment Comment by gopalv Python is harder to JIT because of the way __dict__ works.If all python had was __slots__ then we would not be struggling to JIT python.Tight numerical loops is where the JIT adds performance.Most performance sensitive features are already available in python between numpy, numba and Cython without really leaving the language core.You'll mostly be speeding up the slow parts of python, not supercharging the fast parts. parent gopalv 4 days ago
If all python had was __slots__ then we would not be struggling to JIT python.
Tight numerical loops is where the JIT adds performance.
Most performance sensitive features are already available in python between numpy, numba and Cython without really leaving the language core.
You'll mostly be speeding up the slow parts of python, not supercharging the fast parts.