But the runtime performance is not that great either.
Dot product: NumPy 0.03528 vs 0.03 Julia (x1/1.1)
Element-wise sum: NumPy 0.00379 vs 0.0063 Julia (x1.6)
Element-wise mul: NumPy 0.00419 vs 0.00617 Julia (x1.5)
L2 norm: NumPy 0.02391 vs 0.097 Julia (x4.1)
Matrix product: NumPy 0.00186 vs 0.01988 Julia (x10.7)
Matrix sort: NumPy 0.01033 vs 0.0161 Julia (x1.6)