xiaodai

I see. Very nice. So it's a trade-off. I imagine the throughput of these light-weight compression suffers a little. In analytical workloads, it's common to do things like compute the mean of a vector or compute the gradient for this batch of data so random access appear less of an issue here.

There are a bunch of these including fst in the R ecosystem. JDF.jl in the julia ecosystem etc.

disk swap files?

cool. whoever uses these libraries better validated it very well.

Is this thing “official”?

I don’t know. I find quanta articles very high noise. It’s always hyping something

I am sorry. I am autistic.

U can still google resolver one or was revolver one. It was bascilly the same thing but python.

zed then

ocaml, f# and haskell

> scala did get some things right that other mainstream languages still have not

Examples?

These approach has been tried so many times and has failed so many times that it’s not funny

Python is a very poor choice for such a tool. Julia should have been used

Haskell, Ocaml, scala

anything else?

Hackernews amplifies alot of stuff

What does Julia have to do with this?

can make a self massaging robot. where you pressure is where the robotic arm will massage, to the strength u need.

Please stop trying to make python fast. Move over to Julia already.

Never thought someone would do this for R. Really nice work.

Vapour is an interesting choice. Hope it’s in name only :)

Shiny

they figured you have no where to go

this is cool but it was known that sqrt(2) is NOT representable exactly by fractions so i don't think this will really improve anything. floating point can't remember numbers exactly, nor can this architecture.

btw, what if the curl maintainer dies? should we set up a company and charging for newer versions of curl?

Makes sense but what if there are bugs in llvm? U r still exposed. So need a rust version of llvm and then rust can be self hosted

It doesn't that's the problem

the deep learning libraries. can't figure out why one of my gradient didn't work so i switch implementation to pytorch and it worked perfectly fine.

yeah. unless Julia has some killer framework with massive investment, it's hard to see 99.99% of cases moving to Julia. No point really.

second object pascal related post on front. is there a retro trend going on in programming? like pixel graphics games in gaming?

not really a language but more of a Delphi competition. Delphi is still alive and kicking so there's a market for RAD for sure.

sad truth of a no profit model