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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.




Is the randn(Complex64) used in your Bayesian estimation project? I’d be curious to know how if so!


Yes but not directly. It is used in the Monte Carlo simulation part. In communication systems everything is complex :D




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