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I don’t see why would anyone use Matlab in place of Julia in 2020 (unless one really needs one of those specialized toolboxes). Julia does the same things, fas
by aborsy 6y ago
I don’t see why would anyone use Matlab in place of Julia in 2020 (unless one really needs one of those specialized toolboxes).
Julia does the same things, faster and better, and literary with the same syntax.
That being said, python with numpy has got really fast. If you stay within numpy, and are careful with loops, or if numba works for your code, don’t expect much improvement.
- deleted 6y ago[deleted]
- smabie 6y agoThe problem with Python is that you have to bend over backwards to make sure everything you're doing is vextorized or the performance falls off a cliff. With Julia, you can just code naturally. It's really freeing.
- DNF2 6y agoThe answer to this is simple: inertia. Our customers use Matlab, our colleagues do, all our code, built up over years, is Matlab. Learning a new language incurs a cost, with somewhat unknown long-term payoff. Julia is, in my opinion, far superior to Matlab (and also better than Python), but I'm stuck with Matlab (and a bit of Python) because of those things.
- shaklee3 6y agoHow are the plotting capabilities of Julia compared to MATLAB?