I’m curious what type of workflow you have to utilise mainly the sane data consistently, I’m probably biased because I like to try software out - but I can’t imagine (outside office use) a loop that would remain this closed

Currently have 2 1tb NVME’s over around 6 tb of HDDs, works really nice to keep a personal steam cache on the HDD’s in case I pick up an old game with friends, or want to play a large game but only use part of it (ie cod zombies).

Also is super helpful for shared filesystem’s (syncthing or NFS), as its able to support peripheral computers a lot more dynamically then I’d ever care to personally configure. (If thats unclear, I use it for a jellyfin server, crafty instance, some coding projects - things that see heavy use in bursts, but tend to have an attention lifespan).

Using bcachefs with backups myself, and after a couple months my biggest worry is the kernel drama more than the fs itself

Probably should have elaborated more in the original comment, but essentially I’m not a professional so the freedom of creating custom UI + having some standard variable structures like 2d and 3d transformations are worth it.

It also has a python-eqsue language, good build in ide, documentation, generic GPU access, and most importantly personally is extremely cross platform.

Mostly visualisations though, with rust doing the actual legwork

Mostly for visualisations, but having a standardised reference for 2d and 3d transforms has come in handy too.

Admittedly, visuals aside, rust does most of the mathematical heavy lifting

Edit to note I’m not employed in data science, so I have a lot more wiggle room for things to go wrong

Ive had surprising luck with Godot for basic things, complimenting it with rust or opengl for higher performance

Pretty sure I saw on the arch wiki you can even use exclusive vram on a system

Me opening rpgmaker to do some matrix multiplication

I would uh consider that pretty in deep gamedev, even lower than some shader code lmao - so yes you would need to know some math.

Cracking open Godot and using a bunch of premade assets hardly even requires programming, much less mathematical knowledge

Depends on the industry and depth you want to go to, gamedev for example you can do without any, but all lower level custom graphics and physics are pretty calculus heavy.

Website dev can be entirely independent of math

“Improve user experience” tends to mean if you’re poor, the lowest level of hell isn’t gonna compare to how shitty of an experience they’ll give you

Man that’s a lot of weed

Games, combining inputs from multiple devices, and low interaction frequency things like monitoring software are a couple ive used it for personally

Parsec is windows only with a non-hardware accelerated Linux client, moonlight+sunshine will work though

I hate to say but technically collecting statistics is non-anonymous identifiable tracking, especially in this age where theres so many datasets companies can coorelate them to

Could use a waydroid container then vlan/DMZ/VPN it to hell, while still getting the usual android experience

Try nix with flakes and drown in the tears of joy

Papers are most importantly a documentation of exactly what and how a procedure was performed, adding a vagueness filter over that is only going to decrease its value infinitely.

Real question is why are we using generative ai at all (gets money out of idiot rich people)

A screwdriver can be a hammer if you’re determined enough

Honestly reading through your comments, I couldnt reccomend Godot more - I’ll just toss some bullet points below.

• GUI tools with lots of tutorials
• Basic 2D and 3D rigid body simulations
• Very extendable if you know C++ or rust
• In house python like compiled language deeply engrained into the engine, which is surprisingly fast
• Cross compileable to most devices, but honestly the engine itself runs on all devices I use so something like syncthing makes dev incredibly portable
• Ecosystem is only growing by the day, most tutorials are game dev related reasonably but still cover most topics one could need
• Basic GPU compute support if that’s your thing

Theres some things its not yet perfect at, like the web export could be better - and in depth things like minimising copies between CPU and GPU might not be as fine grained as hardcore devs would like, but if youre coming from mathematics and python it’ll fit like a glove.

Just for an anecdote I wrote a basic particle simulation in gdscript that was HORRENDOUS for performance, 200 particles all calculated the per frame force of attraction to every other particle then summed it; whole thing ran at 80 fps even on my phone

Commercial? Enterprise?