Last week I converted a simple side project in Python to Julia. It's a sequential Bayeisan estimation problem. A pleasant surprise that the Julia version runs 30x faster than the Python counter part. I am sure the Python code can be improved using Numba and various tricks. But the Julia version simply works with minimum effort.
I also feel the language really is built for people doing numerical computing. I smiled when I find out that randn(ComplexF64) gives you circularly-symmetric complex normal random variables. It feels like Julia understands what I want.
I also feel the language really is built for people doing numerical computing. I smiled when I find out that randn(ComplexF64) gives you circularly-symmetric complex normal random variables. It feels like Julia understands what I want.