I just fought them off in my apartment. Everything they said is correct. I just want to add that I bought some kind of spray to kill them and it was very effective. Got rid of them in two applications.

Commenting mostly to make this post more active because I have very high hopes for COSMIC and really want it to succeed!

Do you mean that it’s worse on GrapheneOS in comparison to stock?

While it’s not nearly as customizable as an Ubuntu kernel, it’s still easy to make your GrapheneOS look and feel exactly how you want it to, within reason.

WTF is it supposed to mean?

I see, that’s a valid concern. I wonder whether we could try to prevent such abuse by automatically excluding more prone groups like prisoners. It really seems crazy to me how many organs, which could literally save someone’s life, are going to waste.

Why not? Why do you need the ability to deprive someone of a live saving procedure after you literally died?

Well, I actually enjoy code review, and I enjoy it on both ends. I learned A LOT thanks to insightful review by my teammates. And I like to pass that knowledge on to juniors when reviewing their code.

It’s funny because where I live there were even warnings to never give your card to the cashier back when they weren’t so popular. It was precisely because of some rare cases of cashiers managing to clone or charge the card during that moment. I, and most people I know, wouldn’t just hand in their card if asked. It just doesn’t happen here.

Right, true!

I mean, yeah, that’s the point of compression. I don’t quite get what you mean by that comment.

I really don’t think that’s a lot either. Nowadays we routinely process terabytes of data.

Oh, I know, believe me. I have some painful first-hand experience with such code.

I think portability and easy parsing is the only advantage od CSV. It’s definitely good enough (maybe even the best) for small datasets but if you have a lot of data you need a compressed binary format, something like parquet.

Is 600 MB a lot for pandas? Of course, CSV isn’t really optimal but I would’ve sworn pandas happily works with gigabytes of data.

If you have to learn from scratch anyway I would consider caddy and traefik. I think those might be a bit more modern and user-friendly than nginx.

Exactly this! Powerful tiling without the need to build your own DE from scratch sounds incredible!

Man, would taking a few seconds to verify stuff kill you? All Proton applications are open source.

Finally did it a few months back. I’m slowly degoogling too, although I’m afraid I won’t be ready to cut all ties for a bit more time.

It’s really sad that tech ended up like this. It all seemed so exciting not that long ago.

I’ll stick with KeePassXC but I’m still very happy to see them remembering about Linux. I hope Drive will be next, this is something I’m really waiting for.

I have to mention dataclasses here, especially with frozen=True.

Seriously, use dataclasses whenever possible, they’re great.