I depends a bit on your threat model. If you have Jellyfin exposed to the internet I would shut it down immediately. If you are running locally and rely on it, let it run maybe? If behind a tailnet or some other VPN, I would deactivate it as well. If it is an Axios like vulnerability it may be possible your secrets are in danger, dependent on how well they are secured. Not a security expert, but I would handle this a little more conservative…

Don’t know that software, but that was fun to read lol

Tbh, I like their posts and I don’t see as much double posts. When I look at the up vote I feel like I am not alone. Maybe I am naive, but I think they are doing their best contributing to the Threadiverse; as you already said - there is no karma here.

TIL nano editor has its own logo

A popular app where you can share and split expenses with a group of people. It’s very useful for example when you are on vacation with 3 or more people and everybody pays something. At the end the app tells you how much everyone has to pay everyone back.

Split wise was great in the past, but it was enshittified pretty badly. That’s why alternatives are always welcome!

I switched from Splitwise to Tricount long time ago. But I am really interested in this open source alternative. Anybody already got experiences with it?

Virtual environments are pretty standard. I set up hundreds of virtual environments in my career. But I am asking how to install Python 3.10 on a Debian install, not how to set up a venv.

How does virtual env help with installing Python 3.10 on Debian

Also bought an Optiplex to run Jellyfin on it. Can recommend it.

I just despise conda, I think it is bloat :D but thanks for the advice

Thanks so much for your efforts writing this up. I will study it and come back if I have any doubts.

The reason I use VirtualBox is simply, that it is the recommendation in the developers guidelines of the project, which is gramps by the way.

I have basic experience with Docker, I managed to build a container that runs with alls dependencies based on alpine, then it struck me - I don’t have a GUI in my container which I need of course to run my IDE and the software itself. I read about X11 forwarding but then wasn’t sure if that is the right way. I am pretty sure one can isolate some things using docker-compose, but it can be frustrating if you want to get into the project codebase and then have to do so much infrastructure stuff.

I guess it is a combination of lack of skills (I derive data from data for my job, ML etc.) and the project itself using outdated methods because of historical development.

But as I said, I need to do my research. Thanks again for your friendly way of explaining things, much appreciated.

It’s not so much about Python itself but the libraries it uses. I experienced very often that the module maintainers for specific libraries require time to port to a newer Python version, and if it only means testing it against it. This is why I have the habit of staying on “2 version older” than the current release. As a data scientist this always made sense for me, I cannot count the times an environment broke because there was a conflict with the Python version. I guess you are right and it probably runs fine. I just wanted to set up my development environment right the first time to save some struggle later. Thanks for your input.

Now I found a use case for UV! I am a long time venv user and was always struggling to understand why I should add another complex layer of software into my pipeline. Also when I last tried UV, the recommended way to install it was piping arbitrary code from curl into bash, but maybe that has changed. I have a look, thanks!

That is a good solution to my problem - but what is the problem with Debian? Am I too old, and is it a bad idea to install a specific Python installation directly into the system?

It requires Python > 3.10, but it is not tested very well and I don’t want to provoke incompatibilities. There is no need to run Python 3.13.

I know venv pretty well, but it does not do it for this project. It’s not about isolating the Python libraries, but the system libraries and more importantly the databases the program itself creates. Also I would never install packages into a Python system installation.

LLMs will cure this /s

I’m using Pi-hole for half a year now and am super happy. What is unbound?

I was hosting a session of 7 days to die some weeks ago from Linux Mint and it didn’t work (worked the 3 times before). Everyone was like uhh yeah, probably a Linux problem?
I reminded them of the trillion hours they spent in their lives fixing a multiplayer server on Windows and if it ever came to their mind that Windows could be the problem. They agreed and apologized quickly.

People tend to forget how much tinkering they need to do on Windows to run stuff. How often did I try some “compatibility mode stuff” to execute an old game on Windows?

I think it’s the paradigm change. Most people including myself learnt some kind of procedural language in school, shifting towards functional thinking is just very difficult. But of course that’s a skill a computer scientist must have and one of the reasons I didn’t graduate.