Eden @edensaesthetic@witches.town

It feels like scala doesn't really have types when all types implicitly coerce to everything else.
I thought we only allowed this behaviour in silly languages like JavaScript and R?

People like ten years ago

"Having more computational power is only a good thing, imagine what ordinary people could learn, could discover?!"

>People use it to solve fixed difficulty maths problems that create nothing of worth

@kellerfuchs I'd compare it to fread from data.table, that usually wins out in tests.

Or if you're happy to convert it into a different format, Hadley's feather package is super good.

I have legitimate hopes/amusement that my satire toots about this being referred to city councils will end up accurate.

Also fuck Lincoln. I could've picked any city to theoretically still want to exit and I feel sure it'd be that one.

"Huge ramifications for London if Theresa May has conceded that it's possible for part of the UK to remain within the single market & customs union after Brexit."

-2 Months Later-

"We have made a deal to leave Europe. All constituencies except Lincoln and Gainsborough will remain in the single market, but legally and officially we have not backed down. We are our own country. Also, for ease of transition we are going to maintain EU law in all single market constituencies "

@kellerfuchs hm. I know they're compressed in memory, but honestly I don't know how /how well, sorry! All I really know is that in use I haven't hit any hard limits around that number.

@webmind @amphetamine architecture of radio

@kellerfuchs yeah i missed with language.

So compressed array equivalent in both is slice indexing? Data frame has the dplyr select and filter keywords to get similar, or just using [X, Y] for 2D lookups, and data.table does it through inbuilt syntax.

@kellerfuchs although rereading this, I'm not entirely sure if that counts as a compressed array, as I wouldn't have described it like that. Let me know if you meant differently!

@kellerfuchs R has both data.frames, which are a form of compressed arrays, and data.tables, which are compressed arrays with indexing built in for faster lookups.

A lot of the time in R I'll batch anything over about 20GB, but I've comfortably worked with 10GB of data before as long as I was being sensible in manipulation requests.

Although when I tried to do a wise to long transform/melt that ended with 22GB, it totally broke R. Ended up using rust for it, but it loaded back quickly

@kellerfuchs huh, do you not rate ggplot then?

Also I absolutely love this kind of tech. I wonder how easy it would be to code something similar and infer anything about the objects between me and the transmitters.

Or even just visualise WiFi using the same idea

It's kinda scary that there's this ring of satellites nearby, and fucking mass of towers so close. Like other directions are quiet, and then this.. https://witches.town/media/MZ9PahdGfg7ldkgN_H8

@SoniEx2 If you ported the compiler to haskell we'd have world peace in days

@brokenfingers THAT APPLIES TO BOTH CHOICES!

... I should go to sleep and stop trash posting :')