the_sisko

I do believe that's a freezer.

People aren't misunderstanding the issue. Third party cookie support is being dropped by all browsers. Chrome is also dropping them, but replacing them with topics. Sure, topics is less invasive than third party cookies, but it is still more invasive than the obvious user friendly approach of not having an invasive tracker built into your browser. No other major browser vendor is considering supporting topics. So they're doing an objectively user unfriendly thing here. This is the shit that happens when the world's largest internet advertising company also controls the browser.

I once heard that argument in a different, yet equally rage inducing context: "outlawing same-sex marriage isn't discrimination! Everybody has the right to marry someone of the other sex" 🙄🙄🙄

Sphinx has warnings for these already. They're just suppressed and ignored :)

I see what you mean. The python ML ecosystem is... not far off from what you describe.

But please consider Python as a language outside the pytorch/numpy/whatever else ecosystem. The vast majority of Python doesn't need you to setup a conda environment with a bunch of ML dependencies. It's just some code and a couple of libraries in a virtualenv. And for system stuff, there's almost never any dependency except the standard library.

You might be even more concerned to find that your Fedora package manager, DNF, is also written in Python: https://github.com/rpm-software-management/dnf

Fact of the matter is that Python is a language that gets used all the time for system level things, and frequently you just don't know it because there is no ".py" extension.

I'm not sure I understand your concerns about python...

1. Performance is worse than C, yes. But writing performance sensitive code in Python is quite silly, it's common to put that in a C library and use that within python to get the best of both worlds. DNF does this with libdnf.
2. "It feels like an extension of proprietary hardware planned obsolescence and manipulation." This is very confusing to me. There has been one historic version change (2->3) which broke compatibility in a major way, and this version change had a literal decade of help and resources and parallel development. The source code for every Python interpreter version is freely available to build and tweak if you're unhappy with a particular version. Most python scripts are written and used for ages without any changes.
3. "i don’t consider programs written in Python to have permanence or long term value because their toolchains become nearly impossible to track down from scratch." Again, what? As I said, every Python version is available to download, build, and install, and tweak. It's pretty much impossible for python code to every become unusable.

Anyway, people like the Fedora folks working on anaconda choose a language that makes sense for their purpose. Python absolutely makes sense for this purpose compared to C. It allows for fast development and flexibility, and there's not much in an installer program that needs high performance.

That's not to say C isn't a very important language too. But it's important to use the best tool for the job.

Anaconda is just an OS installer program. At least, the Anaconda that you're referring to. After installation, it's gone.

There is also Anaconda which is a Python platform/package system/whatever. Maybe you're confusing the two?