That's because with generic python code the values in a numpy array need to be b...

infinite8s on Aug 4, 2018 | parent | context | favorite | on: How Numba and Cython speed up Python code

That's because with generic python code the values in a numpy array need to be boxed into python objects leading to extra memory allocations (whereas they would already be boxed in the built-in list case).