I'm experiencing slow performance with my Numba-compiled functions. What should I check?
First, ensure that your functions are properly decorated with @jit or @njit. Have you done that?
Yes, I have. But the performance is still not what I expected.
Check if you're using Numba's supported types and avoid using Python objects. Are you passing NumPy arrays?
I am using NumPy arrays, but I think I might be using some unsupported types.
That could be the issue. Try to stick to basic types like int, float, and NumPy arrays. Would you like help with specific types?
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