Same story for Nebraska. Most of the population lives in Omaha or Lincoln which both lean blue, but Republicans gerrymandered the fuck out of our districts so we’re a red state. And it matters a lot more here since we’re one of two states that split our electoral college votes by congressional district. Like recently Lincoln overwhelmingly voted for a Democrat for our district in a special election, but Republicans naturally redrew the fucking maps to include counties that are fucking north of Omaha (like 120 miles away). Look at this shit: https://www.google.com/maps/place/Nebraska’s+1st+Congressional+District,+NE/@41.2698636,-96.4887192,8z/data=!4m6!3m5!1s0x87915d2ef259455b:0x74cb97568fa3047a!8m2!3d41.5312936!4d-97.2652858!16zL20vMDl0eHky?gl=us

Oh, if you worked at a company that uses them (which is a lot of companies), you’d definitely be familiar with them as they hog up a ton of fucking CPU/disk. I basically had an entire CPU core dedicated to running their bullshit.

What’s the difference between “vitlök” and “vit lök”?

Omaha is a lot less left-leaning in my experience. It’s very purple. Lincoln is solidly blue.

I just recently purchased a house in Lincoln. Just quickly looking on Zillow for Omaha and home prices look to be very similar to what I was seeing here in Lincoln. Property taxes in Omaha are also a fair bit higher than Lincoln.

There’s other stuff too, like lower crime rate in Lincoln, better/more parks, LPS being generally a lot better than OPS, etc.

I guess it ultimately depends on what you’re after. If you want something more big city, then Omaha obviously has Lincoln beat. But for a more relaxed pace of life and for raising a family, Lincoln is where it’s at.

There are a number of blue cities in the Midwest. What’s the lowest temp you want? I live in Lincoln, Nebraska and it’s pretty great: nice weather most of the year, low cost of living, blue city, tons of parks. Only downside is dealing with red state bullshit from the state government.

Common Lisp isn’t a functional programming language. Guile being based on Scheme is closer, but I’d still argue that opting into OOP is diverging from the essence of FP.

Just remember that if you aren’t actually concatenating files, cat is always unnecessary.

https://porkmail.org/era/unix/award#cat

jq < file.json

cat is for concatenating multiple files, not redirecting single files.

Meanwhile, I can open a 1GB file in (stock) vim without any trouble at all.

Formatting is what xmllint is for.

:syntax off and it works just fine.

I understand what you’re saying—I’m saying that data validation is precisely the purpose of parsers (or deserialization) in statically-typed languages. Type-checking is data validation, and parsing is the process of turning untyped, unvalidated data into typed, validated data. And, what’s more, is that you can often get this functionality for free without having to write any code other than your type (if the validation is simple enough, anyway). Pydantic exists to solve a problem of Python’s own making and to reproduce what’s standard in statically-typed languages.

In the case of config files, it’s even possible to do this at compile time, depending on the language. Or in other words, you can statically guarantee that a config file exists at a particular location and deserialize it/validate it into a native data structure all without ever running your actual program. At my day job, all of our app’s configuration lives in Dhall files which get imported and validated into our codebase as a compile-time step, meaning that misconfiguration is a compiler error.

You’re just describing parsing in statically-typed languages, to be honest. Adding all of this stuff to Python is just (poorly) reinventing the wheel.

Python’s a great language for writing small scripts (one of my favorite for the task, in fact), but it’s not really suitable for serious, large scale production usage.

Ah gotcha, fair enough. Definitely depends on the workload. If you have compute you want to dedicate to solely to a single task, have at it.

Umm, queueing is standard practice particularly when a task is performance intensive and needs limited resources.

Basically any programming language using any kind of asynchronous runtime is using queues in their scheduler, as well.

I definitely associate “ninja” with wannabe JavaScript developers.

Pureblood is pretty funny, though of course we actually use Haskellers. Honorable mention goes to “Haskellnaut” to (playfully) describe taking the language as far as it can go.

“Lemmy” (the software) doesn’t have any data. It all resides on servers owned by people other than Lemmy’s developers. They have the user data and would absolutely be subject to GDPR.

Again, no matter what Lemmy’s devs put in place, it doesn’t matter because the instance admins can do whatever they want.

GDPR is really designed to target software controlled by a single entity, but this isn’t that. The instances are responsible for their content, full stop. There’s no way of forcing an instance to delete content, and even if there were, since the admins are running it, there’s nothing stopping them from removing such a feature.

There’s also nothing stopping admins from deleting content from their servers (it’s just a database, after all).

It’s “open source” as a technical matter, but the fact is that plenty of common extensions are still strictly controlled by Microsoft (like say, Live Share) and can’t be used with vscodium due to licensing. It’s a pretty useless editor without extensions, and the marketplace isn’t exactly “open”, either.