[colincsl]

I used to (almost) exclusively use Python and didn't like that I had to go bath and forth with Cython to make my models fast. Earlier this year I ported some of my code to Julia and feel more productive because of it. I feel like it's easier for me to implement new non-trivial improvements to my models than it was before.

For what it's worth I still stick with Python for computer vision applications. I mostly use Julia for timeseries models (e.g. Semi Markov CRFs) where it's harder to vectorize everything.

If I were restart again I'm not sure if I would suggest going the Julia route. I know there are alternatives like Numba that enable you write efficient code with minimal effort. Overall I like Julia as a language but there are a lot of little issues due to it being a new language.