In Defense of Matlab Code
runmat.org
In Defense of Matlab Code
1–10 of 174 posts
Re: In Defense of Matlab Code
#2There's also Julia.
Earlier in my career, I found that my employers would often not buy Matlab licenses, or would make everyone share even when it was a resource needed daily by everyone. Not having access to the closed-source, proprietary tool hurt my ability to be effective. So I started doing my "whiteboard coding" in Julia and still do.
Re: In Defense of Matlab Code
#3> # We must reshape X to be a column vector (3,1)
> # or rely on broadcasting rules carefully.
> Z = Y @ X.reshape(3, 1)
Why not use X.transpose()?
Re: In Defense of Matlab Code
#4Interesting... I wrote a similar post about MATLAB's syntax a while ago, and I still think MATLAB is one of the best calculators on the market.
RunMat is an interesting idea, but a lot of MATLAB's utility comes from the toolboxes, and unless RunMat supports every single toolbox I need, I'm going to be reaching for that expensive MATLAB license over and over again.
Re: In Defense of Matlab Code
#5Matlab code is fantastic for prototypes and for getting a "feeling" before doing the expensive optimal implementation.
Re: In Defense of Matlab Code
#6> # We must reshape X to be a column vector (3,1) > # or rely on broadcasting rules carefully. > Z = Y @ X.reshape(3, 1) Why not use X.transpose()?
Isn’t X.T still valid? I believe it’s been phased out in pandas but still around in numpy.
Re: In Defense of Matlab Code
#7There's also Julia. Earlier in my career, I found that my employers would often not buy Matlab licenses, or would make everyone share even when it was a resource needed daily by everyone. Not having access to the closed-source, proprietary tool hurt my ability to be effective. So I started doing my "whiteboard coding" in Julia and still do.
Precisely; today Julia already solves many of those problems.
It also removes many of Matlab's footguns like `[1,2,3] + [4;5;6]`, or also `diag(rand(m,n))` doing two different things depending on whether m or n are 1.
Re: In Defense of Matlab Code
#8Many people use Octave https://octave.org/ which is compatible (generally) with Matlab, supports this simple syntax, and is open source software. Indeed, I've taken at least one class where the instructor asked people use Octave for these kinds of calculations.
Re: In Defense of Matlab Code
#9> # We must reshape X to be a column vector (3,1) > # or rely on broadcasting rules carefully. > Z = Y @ X.reshape(3, 1) Why not use X.transpose()?
It doesn't seem to be the example here, but I know that X.transpose() does not work if X is a (3,) and not a (3,1), which is the common way to present vectors in numpy. MATLAB forcing everything to be at least rank-2 solves a bunch of these headaches.
Re: In Defense of Matlab Code
#10> # We must reshape X to be a column vector (3,1) > # or rely on broadcasting rules carefully. > Z = Y @ X.reshape(3, 1) Why not use X.transpose()?
Actually, I just tried Y @ X in Numpy and it works just fine.
It's because in Python 1-dimensional arrays are actually a thing, unlike in Matlab. That line of code is a non-example; it is easier to make it work in Python than in Matlab.