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Foundation says it won't compromise policy of inclusivity even if that cash would've really helped

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[-] psyc@lemmy.world 9 points 5 months ago

Sent a donation! For as much as I’ve used python probably should have donated sooner but better late than never

[-] python@lemmy.world 7 points 5 months ago

I'd do the same

[-] 33550336@lemmy.world 5 points 5 months ago

This encouraged me to work more in Python (though it is hard to beat Matlab in some applications).

[-] wjs018@piefed.social 2 points 5 months ago

Matlab is great, but I've never seen it used outside of an academic setting. Mathworks offers relatively affordable licensing to academia in the hopes of training future graduates to advocate for its use in a professional setting. However, their corporate licensing is crazy expensive, so it's usually worthwhile to just learn numpy/pandas or R instead.

One toolbox that I think Matlab is really excellent in is image analysis. I used it a ton on microscope images during grad school, doing image registration, and nothing I've tried since has made it as easy.

[-] 33550336@lemmy.world 2 points 5 months ago

While Matlab is very convenient for modeling (what can be done as easy in Python), it excels in control engineering, navigation, and related problems. While very popular in academia, it's pricing causes that only the biggest companies can use more than a few toolboxes (Airbus, BMW, U$ "defense" molochs). I cooperate with a robotic company using Matlab (though large and government-owned). Great feature is the automatic C code generation (which is high quality when compared to the AI slop), however this toolbox is very expensive for industry. Symbolic computations are decent, but you can have the same with SymPy or maxima for free. Overall, for my purposes it's too good to abandon it completely.

[-] ILikeBoobies@lemmy.ca 3 points 5 months ago

What’s the nodei type if it’s not a string?

[-] Blackmist@feddit.uk 2 points 5 months ago

NSF - National Socialist Fund.

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this post was submitted on 27 Oct 2025
1020 points (98.9% liked)

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