neovim?
hinterlufer
Yeah conda is slow af, but you can change the env solver which makes things much faster and there's also mamba/miniconda which I haven't tried but is supposedly much faster
uberspace würd mir noch einfallen. Da kannst du sogar anonym (per Briefsendung) bezahlen. Der erste Monat (oder warns 2 Wochen?) ist kostenlos, danach pay what you want (empfohlen >5€/Monat, mindestens 1€/Monat)
I'd say it writes like an western EF / japanese F. Similar to my 3776 SF (without the soft nib of course).
I like mine very much. Smooth, reliable, does not dry out, works on most copy paper as well. It's also completely made out of metal and feels very well built. The only downside is the converter - it's a CON-40 style one and it's common knowledge that those kinda suck. And that taking the feed apart for cleaning is essentially not possible.
archive.org is great, but is it just me or is the site just super slow all the time?
You can create an email alias for your Microsoft account and then only enable login from that account. If you then do not use that email for anything but the login, you should be pretty safe from credential stuffing attacks.
I had a very similar issue with multiple failed login attempts and changing my login email stopped it right away.
For backflow you would need a higher pressure in the small reservoir. You would at best get equal pressure in both reservoirs unless you actively try to squeeze it back in.
Ubuntu at work, Mint on my laptop, Win10 and Debian on my pc. I need to upgrade to Win11 at some point but I guess I'll wait until next year for that.
How would that work?
How large/heavy is a regular frozen pizza where you're from? Eating less than a whole one sounds a bit odd to me as they're really not very big around here, around 350-400 g each.
The thing is that many of these things just can't be measured directly. You can use the information from the simulation to get a deeper understanding of e.g. some receptors (as was done), and use that information for something else. For example to optimize a binder for the receptor, or to manipulate the tonic signalling. But that's then often a paper building onto the findings from the simulation.
care to elaborate?