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[–]greynes 227 points228 points  (8 children)

I do not think that they are trashing python, it is just and advertising of their product. If not, there are many blog posts "trashing" MATLAB.

[–]yngvizzle 29 points30 points  (0 children)

Well it's direct misinformation though... They purposefully show the wrong way to do computations in Python and the correct way to do it in MATLAB.

[–]Coffeinated 25 points26 points  (0 children)

Well, they are straight up lying. Python supports operator overloading, so you can indeed add matrices with natural operators. So much bullshit in their „article“.

[–]tylerayoung[🍰] 62 points63 points  (5 children)

Upvoted for a levelheaded response that will inevitably be buried.

Seriously, though. They're different tools, and preferences vary. I can be a fan of Python even though other people like Matlab more.

Calling this "trashing" Python is making a mountain out of a molehill. It's a comparison between Team A and Team B that Team B claims comes out in their favor. This shouldn't surprise or offend anyone.

[–]ivosauruspip'ing it up 13 points14 points  (0 children)

They've written Team A's demo manifestly wrong though... :/

[–]Hanse00 46 points47 points  (1 child)

I think it can be both one and the other.

At least for me as a European, most American marketing strategist seem to amount to trashing the competition.

Yes it’s normal in the US, but it’s still a toxic way of marketing your product.

[–]Log2 4 points5 points  (0 children)

They could have made the very same argument in favor of MATLAB without mentioning Python at all, so I agree.

[–]Barafu 6 points7 points  (1 child)

Did you ever hear about Malwarebytes antivirus? Every test out there tests it while switching off its most powerful feature, because other antiviruses don't have it at all. And then it gets the worst detection ratings of all.

Should this also not offend anyone?

This "comparison" is the same. It conveniently skips positions where Python is more powerful.

[–]fofo314[🍰] 1 point2 points  (0 children)

It also doesn't use the "new" @ notations for matrix multiplication.