RIP gpu-free-ai , which was taken down from PyPI: https://pypi.org/project/gpu-free-ai/

In its short life, we explored the possibilities of an all-garbage future, but the present was not ready for a package that explicitly implements the Features that "AI" implements implicitly, such as directly posting any keys in your environment directly to pastebin. Even though these Important Features were opt-in gated behind an environment variable, I suppose it is against the rules to upload Literal Malware to PyPI even if it is performance art.

The project remains at https://github.com/sneakers-the-rat/gpu-free-ai/

Here is my flash talk from #SciPy #SciPy2025 - model free AI, just output random garbage directly

https://docs.google.com/presentation/d/1qzTAz5Y5QiGw6CMkefZBxi-E7FJ7TqSpP-UU1ip4YUE/edit?usp=sharing

https://github.com/sneakers-the-rat/gpu-free-ai

To all the procrastinators and those with busy schedules… we see you!

You've been granted a second chance! The #EuroSciPy2025 Early-Bird deadline has officially been extended to Friday, July 11th.

This is your final-final call to save on tickets. Don't let this opportunity slip away!
https://euroscipy.org/tickets/

PyCon AU is now accepting proposals for specialist tracks!
This is your chance to present, inspire, and connect with the Python community.

Submit your proposal before June 15th (AoE)
https://pycon.org.au/program

Let’s make this year’s PyCon unforgettable!

Dear LazyWeb: is there a C/C++, #Rust or #Zig equivalent of #SciPy’s `stats` module for statistical analysis? Namely:
• a collection of common PDFs (probability density functions);
• MLE (maximum likelihood estimation) for these common distributions;
• KDE (kernel density estimation).

SciPy’s API is a pleasure to work with. Anything that comes close but usable from C/C++/Rust/Zig would make my life so much easier. Boosts appreciated for visibility.

Naive "nearest neighbor" #TravellingSalesmanProblem approximation with just #SciPy, fast but crude. Maybe tomorrow I'll try to implement something from a scientific paper on the problem, or maybe a naive genetic algorithm just for fun. Code at: https://github.com/villares/sketch-a-day/tree/main/2025/sketch_2025_02_10
More sketch-a-day: https://abav.lugaralgum.com/sketch-a-day
If you like this, support my work: https://www.paypal.com/donate/?hosted_button_id=5B4MZ78C9J724 #Processing #Python #py5 #CreativeCoding

I like to do math, small prototypes and other experimenting with Python in Jupyter notebooks. NumPy, SciPy, SymPy and Matplotlib have been very handy.

But recently Python was too slow for what I was doing and I had trouble juggling Numpy arrays like I often have (it is required for speed). I know some #Rust so I decided to give #evcxr a go because it has a Jupyter kernel. And omg, I wasn't disappointed! It was mindbogglingly fast compared to what I'm used to and it also made the hard part of my code way easier to get right.

However, I only needed math functions provided by std this time. Now I'm trying to figure out if there are science Rust libs that are convenient enough to replace most Python in my notebooks. I know it's a fragmented space, but maybe one could already gather a comprehensive collection of crates manually.

Any recommendations?

Recently, I needed an algorithm to decompose an arbitrary #polygon into N segments of roughly the same size (and some shape constraints.

I really appreciate the #Python package #Shapely and the Voronoi function of #scipy.

I also find it kind of pleasing to just observe the algorithm sedulously doing its job.

CPython 3.13 will come with a free-threading variant that does not use a Global Interpreter Lock (GIL) anymore. In the long term, this should help #Python programs work more efficiently on many CPU core machines.

Several people are working to make sure that the scientific / data science Python ecosystem is upgraded to be compatible and properly tested.

You can monitor progress on this compatibility table:

https://py-free-threading.github.io/tracking/

Scikit-learn 1.5 release highlights in video:

https://youtu.be/mOpU-zremz4

Or as a webpage: https://scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_1_5_0.html

Some #FavoriteTools

#perplexity.ai for thoughtful web queries. (Shows reasoning and references.)

#Vim for #TextEditing

#Firefox w/ #Tridactyl #uBlockOrigin

#Raindrop for #Tagging and #Bookmarking web pages

#Inoreader #RSS reader

#Pandoc for document creation/conversion

#Ubuntu #Linux (even if it's running under Windows #wsl

#Python w/ #Jupyter #Pandas #Matplotlib #numpy #scipy #plac

#TheBrain for #KnowledgeManagement (but considering moving to #Obsidian)

#MoonReader for ebooks and PDFs

#RolandFP90 and A-88 for #piano

#transcribe for working through #music #video

#Leatherman #SkeletoolCX for EDC multitool

#Benchmade #Griptilian when I need more of an actual knife

#Signal for #messaging

#mastodon for social media

#antennapod for podcasts

#streamlightwedgext for #EDC flashlight

Hello #twittermigration folks! If you want to know more about

All things #PyData & #SciPy
#PyDataMadrid and #Python
A bit of #futureofwork, #sustainability, #cooperatives
A bit of algorithmic music with #foxdot
Rants about bad #UX in free software

You're at the right place! Please say hi

#introduction Hi, I'm Geoff and I'm a #physicist working as a #python application developer and data engineer in a #satellite #meteorology institute at a large public university in the midwest US. Longtime #linux user, #vim maniac, mech. #keyboard enthusiast and mouse hater. I'm not a hero, but I am a #union man!