On Thursday, 19 February, Valentin Haenel will give a talk on Numba, a Python just-in-time (JIT) compiler. Register to find out more: https://www.meetup.com/python-users-berlin-pub/events/312958754/
#Python #Berlin
I've finally launched my personal blog! 📝
To kick things off, my first post is the urllib3 2025 Annual Report. We discuss entering the "Billion-a-Month" club, our strengthened security posture, and the road to Python 3.14.
Check it out: https://volochii.dev/blog/urllib3-in-2025/
👨💻 #X виконала обіцянку розкрити свій алгоритм, який визначає пріоритетність появи постів у стрічках користувачів. Вихідний код викладено на #GitHub для загального ознайомлення. Він написаний на #Rust і #Python.
https://highload.tech/uk/x-vidkryvaye-vyhidnyj-kod-svogo-algorytmu-vin-napysanyj-na-rust-i-python/
2025 was a massive year for Posit & the open-source community! 💕
I’m happy to share the 2025 Year in Review. Highlights include Air for fast #RStats formatting, AI updates, Quarto, ggplot2, & Great Tables #Python milestones, & $750k Open Source Pledge!
Read more: https://posit.co/blog/2025-posit-open-source-year-in-review/
Retomber sur des reliquats de vidéos des premières #djangocong @djangocong sur youtube et se souvenir de l'ambiance géniale qui y reignait :)
Et aussi prendre un méga gros coup de vieux en voyant nos têtes à tous (oui, à vous aussi !) d'il y a 15 ans (2011, 2012)
#souvenir #nostalgie #python #django #copains #soleil #conf
🎉 Releasing over 5000 B-UML models for you to "play" with. Each model comes with some metadata and its own #python implementation and can be opened with the BESSER online modeling editor.
https://modeling-languages.com/b-uml-dataset/
Just released pyglobegl 0.3.0 to PyPi, this is my new personal project to create an anywidget wrapper for the very cool looking globe.gl library. Now you can start using globe.gl with Python bindings in all your notebook environments. Huge amount left to do but it's progressing pretty fast. #Python

I created my first (tiny) Python library! PyMicroConf: a tiny TOML config handler
I was working on another random side project and wanted to define configs like Pydantic-Settings without actually pulling in all of Pydantic into my project, so I started writing a custom config class which turned out generic enough that I could break it off into its own thing.
One of the main things I wanted is to be able to load a TOML file for settings but to also be able to override each config option with an env var. I also really like Pydantic’s use of Annotation[..., ...] type-hinting so I did something similar
I don’t really expect it to be used by anyone else but I’m excited about putting out my first PyPi package and figured I’d share it here :)
Any feedback is very welcome!
PyPi link: https://pypi.org/project/pymicroconf/
Also AI disclosure: I got AI to partially write the description but the code itself isn’t written by AI
https://piefed.ca/c/show_and_tell/p/465695/i-created-my-first-tiny-python-library
🐍 #pytest is a powerful tool for testing your #Python projects. In this pytest 201 presentation, I covered some of the more advanced features beyond the core assertion ability of the library (e.g., fixtures, parameterization). https://www.youtube.com/watch?v=fv259R38gqc
Regression vs. Classification in Machine Learning
Same data, different question—and your model changes because the decision changes.
This post explains how to choose the right framing, how labels and metrics differ (RMSE vs AUC, etc.), and why “turning regression into classification” can change what the model learns in practice.
https://medium.com/@hasanaligultekin/regression-vs-classification-in-machine-learning-5aed1377597d
#MachineLearning #DataScience #Python #Statistics #ai
@programming @ai @pythonclcoding @towardsdatascience