Hey folks, if you're following other projects on other sites, you can also find us at:
* https://t.co/3PcMRWgWBm
* https://t.co/jNO42u73J7
* https://t.co/lnHdG4mog9
I’ve never been able to draw, until I learned to turn math ideas into code and explore visualizing things. More than 20 years ago I started with @WolframResearch Mathematica, now ~1000 #Python scripts: from complex analysis to statistical mechanics to fractals.
#builtWithMarimo
Working on any fun fall projects? Join our next data craft circle gathering for cozy crafting and conversations! Whether you bead, collage, embroider, or just want to try something new, come meet others who are working on analog data projects. https://t.co/s7IDBXqdtM
Want to contribute to #matplotlib but don't know where to start? Join us to learn all about it!
📅 October 13th · 5pm UTC
🔗 https://t.co/c4FuO6ij8q
Bring your questions - all are welcome!
We just released Polars 2.0.
It removed many of our legacy decisions makes the streaming engine our default and promotes SQL to a first class citizen within Polars.
It comes with initial out-of-core (spill to disk) support, a new Map data type and a lot of performance improvements. In fact, we think Polars is now one of the fastest analytical SQL engines on a single node. See benchmarks in the post: https://t.co/ATc6UzJqby
A classic Monte Carlo simulation, it takes me right back to my student days.
16 cars of equal length park at random along a street 20 cars long.
#builtWithMarimo#python#numpy#matplotlib
Thanks Claude Code for drawing nice cars in matplotlib 😀
It can take the models a cycle or two to train on our newest features, so please ask the model which version it's coding against & check our release notes to see what new things you can do w/ us!
MDAnalysis just landed a Research Software Maintenance Fund grant — enough to hire a dedicated Research Software Engineer. That’s what sustained backing does: it turns “someone squeezes this in” into “someone’s job is to make sure this works.” Support like Max the Stack keeps that momentum going. https://t.co/RpFIgzBWGe
Want to contribute to #matplotlib but don't know where to start? Join us for a chat about contributing and being a part of the Matplotlib community!
📅 September 1st · 11am UTC
🔗 https://t.co/tTcBZN7ADr
Bring your questions - all are welcome!
I refuse!
I will not teach #MachineLearning without first covering frequentist and Bayesian #Probability!
Today in my machine learning class, we covered probability. During our discussion of Bayesian probability, we worked through the Sivia Bayesian coin demo. Then I opened my interactive @matplotlib #Python dashboard and formulated our prior and likelihood directly in the computer!
Probability first. Machine learning second. 😉
Today is the last day to submit your CFP for PyData Global 2026! Don't wait, get yours in now!
Learn more and submit your proposal now at https://t.co/eLVyVV505d
Syxel: images in your terminal, via SIXEL
Includes a matplotlib backend, so https://t.co/rJpr5nFXfp() draws into your terminal
It's pure Python too
pip install syxel
Early alpha, feedback welcome: https://t.co/gSNETJwd6m