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The Underrated Educational Aspects Of Julia
julia is awesome
I stumbled across Julia in my late teenage years while trying to Google something for a specific package I was looking into in Python. In one way or another, I ended up on a Julia forum for someone using PyCall
from Julia to use the package I was using. At this time, I didn’t even know Julia was a programming language — I had never heard of it. Most of my development thus far had been in C++, and while I had used (read, or edited usually) a bit of Python here and there I had always developed software. Data Science was entirely new for me, which is part of why I wanted to choose the subject — I wanted to learn something entirely different with a whole new discipline attached to it. As a result, I had only heard about languages like R and stumbling across this forum page completely introduced me to Julia.
I remember talking to my mother on the phone around this time, and telling her I was going to pick up R and Julia. I had no idea what I was actually in for, or that Julia would quickly become my favorite programming language that I would spend years of my time designing packages in. I am appreciative of a lot of my choices here; for one, my Data Science education has made me a more well-rounded developer than I would be otherwise. It is surprising just how easily statistics can play a significant role in a project…