I agree, but this is only true as long as you stick with numerical applications, which is kind of the point of Julia. It is currently more of a domain specific

I agree, but this is only true as long as you stick with numerical applications, which is kind of the point of Julia. It is currently more of a domain specific language, kind of like Matlab, because it's not really optimized for other things and has no libraries in the other domains. On the other hand, I implemented a prototype neural network in it, and it went very smoothly. Will have to eventually rewrite it in Python though.