Any software recommendations for self hosting a WebDAV server?
Any software recommendations for self hosting a WebDAV server?
They definitely could have phrased this better. I think what they mean is that their level of confidentiality meets or exceeds local laws.
There’s also the cost to transcode the video and audio streams into different formats so they don’t have to do it on demand whenever someone watches a video. That’s a lot of compute cost plus they have to store all of those additional transcodes which is more storage cost.
I’m not such a monkey, and I could probably contribute if I put my mind to it, but I just don’t have the time… Instead I try to contribute documentation and money when I can. Everything helps!
Indices vs offsets. A lot of people mistake the two because they took CS 101 and thought it was so cool to say I sTaRt cOuNtInG fRoM zErO.
It’s the only movie my kid watches. I’ve seen it maybe 30 times. It’s great Broadway-esque sound track is the only reason I’m not a raving lunatic right now.
We tried branching out and introducing some variety. Barely made it through Coco before we had to go back to Encanto…
$1000 for a device with an N5100 CPU seems… mispriced.
I’ve been using Quarto a lot for Data Science work and it uses Pandoc under the hood I recall.
Not sure what you’re envisioning by Pandoc + git, but the RStudio IDE has a git integration and a WYSIWYM Quarto editor.
Amazing, was able to play over ssh on Android using termux!
This is what I used as well (KeePassXC specifically), with Syncthing sharing the .kdbx file across devices.
Yeehaws per McNugget
I give them all Warhammered Latin hostnames like TABULARIUM-MAGNUS.
Mostly just different algorithms that can achieve greater compaction under different data circumstances.
There are an infinite number of compression algorithms. The trick is to find ones that result in a smaller file for the data you have, which will have some non-random pattern to it.
The choices we think of today (gz, bz2, zstd, etc.) are fairly general purpose, but sometimes you find a data file that compresses significantly more with a particular algorithm.
R releases all have code names that are Peanuts references, like “Bunny Wunnies Freak Out”.