Yep I was expecting you might mention user defined types. Numba supports them but with an object model which is more sympathetic to acceleration. The other pla

Yep I was expecting you might mention user defined types. Numba supports them but with an object model which is more sympathetic to acceleration. The other place where Julia might see better speed is when you have an optimization algorithm and the objective function both written in Julia, which allows for optimization across functions, whereas in Python you could write a fast objective function with Numba but couldn't optimize across function call with the optimizer written in Fortran.