I don't think it matters at the end of the day. Properly written numpy is very fast because it uses MKL or BLAS optimized for relevant architectures. It won't

I don't think it matters at the end of the day. Properly written numpy is very fast because it uses MKL or BLAS optimized for relevant architectures. It won't be worth your while optimizing it unless you need to do something that steps outside the bounds of what numpy can easily do (parallel code, lots of small function calls, etc.)