I wonder how much memory can Python hold until an error like “out of memory” happens, because ML models (for example, those hosted and served in HuggingFace) loads training weights with dozens of GBs

All the stuff that's LLM and the actual "serious" python libraries are implemented in C/C++ and only made accessible via python.

Which doesn't directly answer the question of what the maximum is, in those cases, but it should be obvious that C/C++ have some good ways to deal with memory.

You can still do "traditional" memory management in python, or "memory aware programming" like, e.g. not trying to read a file in one piece, but reading and processing line by line.

And using C from python is actually very easy and convenient with ctypes. https://docs.python.org/3/library/ctypes.html

1. the world doesn't owe you at least one morally correct choice. They can also just all be morally bad choices. (hello classical greek drama btw)
2. morals depend on your point of view what correct behavior is and on the social group you want to be respected and accepted by.
3. because of that, morals are subjective, made up, and can be whatever anyone wants.

So xyz being "morally correct" and saying that, is just that person's point of view, and if you have a different point of view, it's just a difference of opinion.

Why the heck would 2 projects share the same library?

Coming from the olden days, with good package management, infrequent updates and the idea that you wanted to indeed save that x number of bytes on the disk and in memory, only installing one was the way to go.

Python also wasn't exactly a high brow academic effort to brain storm the next big thing, it was built to be a simple tool and that included just fetching some library from your system was good enough. It only ended up being popular because it is very easy to get your feet wet and do something quick.

https://www.youtube.com/watch?v=tHjuCuCkHrE

The difficulty with python tooling is that you have to learn which tools you can and should completely ignore.

Unless you are a 100x engineer managing 500 projects with conflicting versions, build systems, docker, websites, and AAAH...

• you don't really need venvs
• you should not use more than on package manager (I recommend pip) and you should cling to it with all your might and never switch. Mixing e.g. conda, on linux system installers like apt, is the problem. Just using one is fine.
• You don't "need" need any other tools. They are bonuses that you should use and learn how to use, exactly when you need them and not before. (type hinting checker, linting, testing, etc..)

Why is it like this?

Isolation for reliability, because it costs the businesses real $$$ when stuff goes down.

venvs exists to prevent the case that "project 1" and "project 2" use the same library "foobar". Except, "project 1" is old, the maintainer is held up and can't update as fast and "project 2" is a cutting edge start up that always uses the newest tech.

When python imports a library it would use "the libary" that is installed. If project 2 uses foobar version 15.9 which changed functionality, and project 1 uses foobar uses version 1.0, you get a bug, always, in either project 1 or project 2. Venvs solve this by providing project specific sets of libraries and interpreters.

In practice for many if not most users, this is meaningless, because if you're making e.g. a plot with matplotlib, that won't change. But people have "best practices" so they just do stuff even if they don't need it.

It is a tradeoff between being fine with breakage and fixing it when it occurs and not being fine with breakage. The two approaches won't mix.

very specific (often outdated) version of python,

They are giving you the version that they know worked. Often you can just remove the specific version pinning and it will work fine, because again, it doesn't actually change that much. But still, the project that's online was the working state.

Ein großer Tag für Aalemania.

Klingt schon cooll, aber ich wette die klammern sich alle an den überteuerten Preisen fest die sie selbst bezahlt haben, deswegen fallen die nicht auf das Niveau was es bräuchte um das attraktiv zu machen.

Außerdem kann man nicht wissen wie die Qualität der Gebäude ist...

Easy, join the cult of linux and bow to the power of the cult leaders: "doing math very fast". BEHOLD.

Depends, it's been a bit disappointing to see virtually no change since I started using it, particularly in terms of QoL. It is open source, so that's on everyone, including me, but I had hoped for more speed, etc..

Mastodon is way better when it comes to filtering.

Having the option of a reddit clone is pretty good though and I will stick with it. Who knows when and where it will get that critical bit of momentum.

It's already superior to regular forums, in my opinion, so now the question is what kind of format you want to have discussions in, instead of having to default to forums. That choice is a definite upside and I'm glad it exists.

No.

You know how boxers don't beat up their trainers?

This is like that.

I'm not applying but I have a comment / suggestion:

A pattern I'm seeing here, in activism and open source is that you basically want the full package right now. While I understand that that is what you need, people like that don't grow on trees.

It would be good if there was a "trainee" position for people to gain the kind of experience you are asking for. And guidance, by you to make sure they learn the right lessons. Possibly including a private-ish best practices handbook or whatever. I know that that means additional work in the short term.

Thanks for reading, all the best wishes!

(Compare to linux' kernel team asking for kernel devs and the policy of "pick any topic you'd like to work on". Do I expect a fully course on everything, bringing me from "high school knowledge" to "kernel dev professional"? No, of course not. But a few book recommendations would be great. In that case. Not sure if you can learn moderation from a book.)

Ah yes. Work that tracks you, not by your output, but by whether your mouse jiggles a statistically correct amount. Nice.