EuroPython

We are looking at it.

I've actually just been to Europython back in July and attended some of the very interesting presentations on where FreeThreaded is heading.

There is a lot of work ahead of us to adopt it because there are many places which just implicitly rely on the GIL for synchronization.

We will need to identify those.

And sometimes you don't miss it because you just want to, there's trade-offs, right? Like I'm going to go to that talk instead of that one or, oh, there's a really interesting group of people having this conversation and the talk is starting now.

You got to decide, do I join the group and have the experience that's not going to be recorded or do I go to the talk? So EuroPython 2026 has all of the videos out there.

And I realized I need to update what I put in the show notes because this is just my subset.

So if you want to watch all the talks for EuroPython, 117 videos are now online on YouTube, which is great.

That is fantastic.

And quick because the conference

The Tone I.O. And that's just async I.O. event loops.

And I know during your presentation, so you gave a talk on this at EuroPython this year, and I'll link to the topic right here.

um but there are people like oh well we have uv loop so doesn't that kind of solve it and it i think that's a really interesting thought because it without calling out anybody intending to call anybody like i think it it just highlights there's in in the python space there's just not a lot of thinking about like what concurrency means why it matters how you program for it um And that's going to be a challenge.

I think that's part of the challenge of what you're talking about with the adoption of free thread of Python.

And then since that start of that revolution, my interest in, in focus on the educational content has decreased a lot because it just feels so outdated, like popping up a Jupyter notebook and having people, like, type code into it.

And so I, I did this thing at EuroPython and EuroSciPy sprints that was kind of impromptu.

And I, I have to give a big thank you to Modal.

Modal is a, a serverless GPU provider, so they provide GPU compute for inference, for training, and also for, like, sandboxes and notebooks.

So, like, you can run one function and then, like, go do other stuff and then go run another function later in the same environment.

And what they'll do is they'll cache your environment somewhere, and then they'll restore it later, and they can restore it very, very quickly in a matter of milliseconds or something like that.

Anyways, Modal people were at EuroPython, and I basically propositioned them on, like, Friday morning for a pile of credits to go do this sprint, and, uh, they were able to get me set up very quickly, which I greatly appreciate.

And what I did for the sprint is a prototype of what I'm, I'm gonna call Auto Research Academy.