Ubuntu is deployed all over the place for data science.

I’m fairly sure this is because data scientists got used to running it on their personal machines and can’t be bothered to learn another distro.

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I mean the fundamental problem is that humans are dicks and moderation is always needed. It should also be paid, and supported with counciling and recovery time when needed. Dealing with toxic content is a job.

Federation isn’t very good at this. The tech is great but everyone is a volunteer and there’s (afaik) no global ban hammer so trolls move from one instance to another. Bluesky currently has venture capital to pay for moderation teams, and centralized ban options.

I don’t know how long this can last without advertising revenue though.

Technically it died and was resurrected.

There was a bunch of weird rebadged Ubuntu derivatives back in the day.

Ubuntu satanic edition. https://archiveos.org/ubuntu-satanic/

Ubuntu Christian edition. https://archiveos.org/ubuntu-christian/

Hannah Montana Linux https://hannahmontana.sourceforge.net/

That’s just what they want you to think.

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Honestly, if you’re sharing office files you’re probably using office 365. This means everything is a web app first and therefore Linux compatible.

I tried using the desktop version of word on a Mac last week, and the latency was so bad on a shared document that I had to switch to the web app anyway.

Basically, if you just want to use Linux you’ll be fine. If instead you don’t want to use Microsoft, you’ll probably have lots of problems.

Microsoft have been brutally effective in getting their tentacles into academic institutes, and you’ll find that everything from email to logging into internal sites relies on an office 365 account.

Pi is predictable and deterministic.

Computer programs exist that can tell you what the next digit is. That means it’s deterministic, and running the program will give you a prediction for each digit (within the memory constraints of your computer).

The fact that it’s deterministic is exactly why pi is interesting. If it was random it would typically be much easier to prove properties about it’s digits.

No. 1011001110001111… (One 1, one 0, two 1s, two zeros…) Doesn’t contain repeating patterns. It also doesn’t contain any patterns with ‘2’ in it.

But pi is believed to be normal. https://en.m.wikipedia.org/wiki/Normal_number

So it should contain all finite patterns an infinite number of times.

Lone skum.

It’s very true on a Mac. Almost every time you click the green button, it jumps to full screen and then you can’t drag another window on top of it.

It’s a pain in the arse because my workflow is to have a reading screen with documents and emails on, and a work screen with whatever I’m actually doing. But if outlook is full screen, you can’t drag any other windows on top of it.

Don’t know why the first guy was saying this is a Windows thing though. I only run onto it on macs.

It’s good for anything that has thousands of examples on stack overflow.

For example, every time I end up trying to work with pandas, I always forget the syntax and it’s generally good here.

Anything unusual, or that is sufficiently complicated that I wouldn’t be able to Google for, and just forget it.

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Dev jobs and data scientists often get a lot of leeway.

Very big tech companies tend to be more open to it. When I was at AWS their threat model was basically to treat every end user device as untrusted, which then meant that they didn’t rely on keeping laptops locked down for security.

I don’t think you can buy the book. It was 20 volumes in 1989, and they’ve been working on an ongoing update since then. There’s no plans to physically print a third edition.

But yeah, it’s a serious scholarly resource, and they do put out free small dictionaries as well.

https://www.oxfordlearnersdictionaries.com/

Eternity is fine. You just need to log out and back in. I’m using it now.

Details here: https://codeberg.org/Bazsalanszky/Eternity/releases/tag/v0.1.2

Doom on the switch was amazing for this. I tried to play Doom eternal on the ps4, afterwards, and it was just such a disappointment because it didn’t have gyro.

Google and Microsoft (through their investment in open AI) are spending billions on LLMs. Zuck just wants to make sure they don’t get an advantage out of spending all this money.