I use it pretty much every work day to explore ML/DSP ideas and to experiment around before formalizing an algorithm. It's fast to run (which is important to be

I use it pretty much every work day to explore ML/DSP ideas and to experiment around before formalizing an algorithm. It's fast to run (which is important to be able to go through enough data to make conclusions), the code produced is reasonably readable, there are a decent number of libs, and it's fairly quick to write. I'd say if you're looking for something like a MATLAB/R/Python/etc replacement Julia is a good option, though it has been a bumpy ride at times while the language has been evolving. I think I started using Julia around 2013 or so after getting fed up with the slower speed of octave, so I'm guessing that things should be a fair bit smoother from this point on if they've officially tagged 1.0.