Pop has not received feature updates for years, because the dev team focuses on implementing Cosmic.

Given the overall progress of Linux Desktop environments, this might have led many users to switch away from Pop.

Uniqlo hat viele verschiedene Basics. Auch schön dicke aus Baumwolle.

KeePass. Hab viele der hier genannten Apps durch und finde es mit Abstand am besten. Gibt verschiedene Mobile Apps und mit KeepassXC auch einen top Desktop Client für alle Plattformen.

Sync funktioniert mit ungefähr allen Cloudanbietern reibungslos.

Trenne dabei zwischen meiner Passwortdatenbank und meiner TOTP Datenbank und habe zwei verschiedene Apps dafür, weil mir die eine für OTPs besser gefällt.

Edit: Finde besonders Toll, dass die Passwörter einfach in Form einer Datei gespeichert werden. So kann man das eigentliche Passwort-Management, aka KeePass Datei, vom Cloud Anbieter zum Synchronisieren trennen. Wechsel der KeePass App bzw. des Cloudanbieters wird dadurch trivial. Fast kein Lock-In.

I was in the same boat as you, i.e. using the GPU during my studies. My premise is to optimise the most frequent use case, i.e., deep learning.

IMO going with NVIDIA will save you so much worries and frustration that it clearly outweighs the downsides of worse Wayland support compared with AMD.

When you have tough university assignments/projects, you want to focus on the actual problem instead of debugging/compiling libraries for use with AMD. I am sure that with a bit of work many libraries can be made to work with AMD, but apparently it is still a pain oftentimes.

So I strongly suggest choosing NVIDIA. Disclaimer: have not used AMD for deep learning yet, but have monitored the development of AMD support, because I would like to switch to AMD.

Btw. I found Pop!OS to be very nice for both “regular” university work and all computer science tasks.