mariatta (@mariatta@fosstodon.org)
You wouldn't believe what happens when #PyLadiesCon replaced our spreadsheets with actual database system and conference infrastructure.
Now we're able to show live* registration counts and fundraising progress without copy pasting data. It's all automated with webhooks, APIs, and #Python.
*with 5 minutes cache delay
What do you think? Wanna support our community? Register, sponsor, donate, and tell everybody you know.
View our dashboard at https://portal.pyladies.com/stats/
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h4ckernews (@h4ckernews@mastodon.social)
Z3 API in Python: From Sudoku to N-Queens in Under 20 Lines
https://ericpony.github.io/z3py-tutorial/guide-examples.htm
#HackerNews #Z3API #Python #Sudoku #NQueens #CodingTutorial
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ycombinator (@ycombinator@rss-mstdn.studiofreesia.com)
Adding an imaginary unit to a finite field
https://www.johndcook.com/blog/2025/11/16/finite-field-i/
#ycombinator #cryptocurrency #elliptic_curves #python
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ponderingpothos (@ponderingpothos@hachyderm.io)
InterpN is Scientific Computing in Rust's crate of the month, and featured in This Week in Rust! Check out the writeup to see how it pulls off an up to 200x speedup over SciPy's already-quite-good interpolation methods!
Available via Python bindings as well as an embedded-compatible Rust crate.
#RustLang #Performance #Python
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apollo (@apollo@nrw.social)
Richtig stark! $273,721.21 USD sind schon zusammen! Zwar nicht ganz so viel wie Trumps Erpressungsgeld, aber es geht in die richtige Richtung!
#python #pythonde #pythonforeveryone #psf #fucktrump
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CuratedHackerNews (@CuratedHackerNews@mastodon.social)
Z3 API in Python: From Sudoku to N-Queens in Under 20 Lines
https://ericpony.github.io/z3py-tutorial/guide-examples.htm
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peterries (@peterries@techhub.social)
Running a Bottle app in Docker
Sep 14, 2025
https://peterries.net/blog/bottle-app-in-docker/
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Python_Ireland (@Python_Ireland@mastodon.ie)
Bye for now, O’Reilly Hall!
#PyConIe #Python #PyCon #PythonIe
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mattesilver (@mattesilver@101010.pl)
RE: https://101010.pl/@mattesilver/114766346701938183
Made a post out of it
https://qua.name/mattesilver/state-of-client-side-http-in-python
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zelphirkaltstahl (@zelphirkaltstahl@mastodon.social)
Recently made a lot of progress with my #tkinter #python app[1]. It now features a powerful search function, that allows one to find _any_ subset of words one wants to find. It's not a child's toy search function. It allows one to chain all kinds of conditions to iteratively get the resulting set of words one want.
Next, I should probably focus on the training aspect. Storing when words were last trained.
Biggest pain so far: Make a properly scrolling frame in tk.
[1]: https://codeberg.org/ZelphirKaltstahl/tkapp
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villares (@villares@ciberlandia.pt)
Windows at work, always a fresh inconvenience:
C:\>python -m pip install ipython
Requirement already satisfied: ipython in c:\users\[...]
C:\>ipython
'ipython' is not recognized [...]
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LeonianUniverse (@LeonianUniverse@caneandable.social)
You know, I would stop using #Jaws, but for some reason, #Nvda doesn't feel as intuitive as Jaws when working with documents and things like that, and the thing is, I can't figure out why this is the case. I don't know if its the responsiveness, it feeling more professional to use overall because of the way it handles spelling and grammar errors, or any number of reasons, but it just feels different for some reason I can't quite yet explain. Also, until NVDA has something even close to Leasey, I feel like it might be just a little hard for them to compete in the same way. I know if someone wanted to, they could create it in #Python, but that's the thing, its doable but hasn't been done yet, so that the experience just doesn't feel anywhere close to the same. Yes, I support free and open source projects, but like I've found in my personal experience, JAWS to really handle things a lot better than NVDA when it comes to professional work. Like, I'd almost never use NVDA to do my job from 9 to 5 for example. Thoughts? #blind #ScreenReaders
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