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Why does Python dominate Machine Learning and what can't other languages do?

submitted by byte to programming 3 hoursMay 17, 2025 08:12:18 ago (+3/-0)     (chat-to.dev)

https://chat-to.dev/post?id=dm4yTUwzdFVMMUg3VzJjNXExNDRTdz09



7 comments block

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[ - ] CoronaHoax 1 point 2 hoursMay 17, 2025 09:29:12 ago (+1/-0)

I think it’s because machine learning is dominated by a lot of people who aren’t programmers and python is damn near a matlab tier language.

Also can’t python technically be modified while it’s running? That’s a pretty key feature for math related programming.

[ - ] SocksOnCats 0 points 5 minutesMay 17, 2025 11:38:01 ago (+0/-0)

I’ve been doing data work for over 20 years now, and been coding for 20 more than that.

Honestly I think ML is vastly overrated. I’ve put together ML projects and watched a LOT of ML teams work on things. It always seems like the effort required is very out of balance with the results. I’m sure there’s a small percentage of ML what’s valuable. But in my experience, most of the time, ML yields very little compared to the effort involved.

[ - ] MeyerLansky 0 points 26 minutesMay 17, 2025 11:17:41 ago (+0/-0)

It's just that so many packages for python have been developed practically everything you can think of already has some kind of framework built for it.

[ - ] AugustineOfHippo2 0 points 2 hoursMay 17, 2025 09:25:52 ago (+0/-0)*

isn't python just a wrapper around C ?
i'm kinda sick of hearing how python is so readable and intuitive. really?

https://gist.github.com/RobertAKARobin/a1cba47d62c009a378121398cc5477ea



The number one reason I get for people wanting to use Python is that it is "easy to use". Apart from the fact that this is not true, it is also a fallacy that shows a complete lack of understanding of how Total Cost of Ownership (TCO) works. For any serious piece of software that makes it to production, 80% or more of the cost is in the phase after initial development. That's the phase where we run, debug, add features, and refactor. Who cares that the first 20% was twice as fast if the other 80% is a hellhole of debugging and finding problems that any compiler from the 1960s could have caught?

https://josvisser.substack.com/p/why-python-is-terrible

[ - ] byte [op] 0 points 1 hourMay 17, 2025 10:06:34 ago (+0/-0)

[ - ] GrayDragon 0 points 3 hoursMay 17, 2025 08:24:51 ago (+0/-0)

Nowhere in this buzzword-laden screed does the article explain what other languages "can't" do.

[ - ] Master_Foo 0 points 2 hoursMay 17, 2025 09:16:58 ago (+0/-0)

@GrayDragon writes his AI in Cold Fusion Script.

I'm not much better.
I like D Lang.