🎧 Django-Fans aufgepasst!
Fühlt euch wie vor Ort bei der #DjangoConEurope2025 Europe mit unserer neuen Live-Episode aus Dublin. Talks, Community & Open-Source-Diskussionen mit Django Fellow @sarahboyce und natürlich @shezi:, @oryon_dominik und @jochen:
https://python-podcast.de/show/live-von-der-djangocon-europe-2025-in-dublin-tag-1/
#Python #Django
Sweet, libuv merged their first part of io_ring support! And it’s the file I/O part no less!
This is kinda the most interesting part too, because true async file I/O wasn’t practical with existing Linux APIs (threads were usually used as a crutch)!
🎉🎉🎉
@marcoarment I know, changing workflows is a hassle, but @ultraschall https://Ultraschall.fm has specifically been designed for podcasting in high-quality, including chapter marks and images with everything drag-and-drop in the timeline.
So if you’re finally fed up with jumping through hoops in Logic you might want to give it a try.
→ Don’t get led astray by the German website.
→ Documentation in English: https://ultraschall.github.io/ultraschall-manual/en/
Also, the software is in English.
This tutorial by Martin Heinz on the per-interpreter GIL feature that's coming in #python 3.12 is excellent
It's not an easy feature to preview (you have to compile your own Python first) but the steps here were enough for me to get it running https://martinheinz.dev/blog/97
MiaPlan ist zu Gast im Python Podcast
https://python-podcast.de/show/gui-applikationen-am-beispiel-von-miaplan/
#Python #Podcast #qt #gtk #GUI #MiaPlan #Dienstplan #Personalplanung
LET'S
FUCKING
GOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO
Der Hattrick ist geschafft! Unsere Mini-Serie zu #KI ist jetzt. mit drei Folgen vollständig. Im dritten Teil haben @thsch und @monoxyd Prof. Philipp Hacker zu Gast, der zu KI-Recht lehrt und berät.
Er erklärt was die EU mit dem Gesetz „AI Act“ vor hat - und warum das ganze zwar eine gute Idee aber dann doch irgendwie nicht so ganz durchdacht ist. Viel Spaß beim Hören!
Django reached 70k stars 🤩 on GitHub 📢
⭐ ⭐ ⭐ ⭐ ⭐ ⭐ ⭐ #django #github #python #opensource
EP 684: A Per-Interpreter GIL Accepted
https://www.reddit.com/r/Python/comments/12ffsif/ep_684_a_perinterpreter_gil_accepted/
FS264 Die Große Elchwanderung https://freakshow.fm/fs264-die-grosse-elchwanderung
The Freak Show Returns!
Measuring the overhead of multiprocessing v.s. the new PEP684 subinterpreter. Starting 100 sub interpreters (each with its own GIL and therefore able to run truly in parallel) is 5.6x faster. #python
Reduce - The Power of a Single Python Function
I wrote ✏️ 🎉 an article about Running Tasks Concurrently in Django Asynchronous Views 
Buckle-up for our async-journey together! 🚗 #django #python #async
https://fly.io/blog/running-tasks-concurrently-in-django-asynchronous-views/
Für alle, die meinen ich würde zu wenig #podcasten - schaltet doch mal heute Abend 20:00 hier ein:
Yesterday I presented at the "Modern Frontend" Meetup in Microsoft Berlin about #AI, #LLMs and what #ChatGPT means for developers, showing off a lot of #Github #COPILOTx features. Here's my edited recording.
https://www.youtube.com/watch?v=Ou8S9ovMtVw
Blog: https://christianheilmann.com/2023/03/31/modern-web-development-centering-divs-in-new-exciting-wrong-ways-with-ai/
NEW POST: Recently I had an enlightening chat with Xu Hao (our Head of Technology in China) about the techniques he's using to prompt ChatGPT to generate useful code
@marcthiele übers podcasten, kann aber genauso aufs bloggen umgelegt werden.
“Letzten Endes muss man sich einfach, also ich zumindest mich davon freimachen, auf die Zahlen zu gucken. Ich hab bei mir auf den Webseiten auch keine Analytics-Tools mehr laufen, gar nichts, weil's einfach nur ablenkt. Mach den Scheiß einfach für dich. Wenn du's für dich machst und es gerne machst, dann passt schon.”
PEP 684: "A Per-Interpreter GIL" has been accepted for Python 3.12!
https://discuss.python.org/t/pep-684-a-per-interpreter-gil/19583/42?u=hugovk
I agree very much with @simon 's message here: "These are incredibly powerful tools. They are far harder to use effectively than they first appear. Invest the effort, but approach with caution: we accidentally invented computers that can lie to us and we can’t figure out how to make them stop."
Fun GPT-4 use-case: comparing how different languages/frameworks solve common problems
My prompt:
> Show me code examples of different web frameworks in Python and JavaScript and Go illustrating how HTTP routing works - in particular the problem of mapping an incoming HTTP request to some code based on both the URL path and the HTTP verbDon't show installation instructions, just get straight to the code snippets. Don't show installation instructions, just get straight to the code snippets
Some nice progress on PyPy's 3.10 branch: I just merged my implementation of PEP 626 (precise line numbers for debugging and other tools) and our backport (from CPy 3.11) of PEP 657 (Fine-grained error locations in tracebacks). The latter was implemented by Batuhan Taskaya and me.
Recently at work I got the chance to use a couple of #Python features I'd never used before: positional-only arguments, and keyword-only arguments.
If you've never seen this before, the general form is:
def my_function(a, b, /, c, d, *, e, f)
Where a and b *must* be passed as positional (not keyword) arguments, e and f must be passed as keyword (not positional), and c and d can be passed either way.
Still not sure how I feel about them being first-class language features, but they did solve a kind of weird niche problem I was having and that would have needed more code to solve in other ways.
I wrote about how AI-enhanced development makes me more ambitious with my projects https://simonwillison.net/2023/Mar/27/ai-enhanced-development/
TIL from @adamchainz that when doing type annotations in #Python, `object` is preferable to `Any`, since the latter basically tells `mypy` to opt out of type checking.
https://adamj.eu/tech/2021/05/07/python-type-hints-use-object-instead-of-any/