Matplotlib

Python library for creating static, animated, & interactive visualizations. Chat w/ us @
Sponsored by @NumFocus

[Matplotlib @matplotlib]

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

[Simone Conradi @S_Conradi]

Another one!
Made with #python #numpy #matplotlib and #marimo (and also #wigglystuff)

[Matplotlib @matplotlib]

💞

[Simone Conradi @S_Conradi]

My chaotic attractor.
Made with #python #numpy #matplotlib and #marimo (and also #wigglystuff)

[Matplotlib @matplotlib]

@PaulGavrikov What are you finding difficult?

[Michael Pyrcz🌻 @GeostatsGuy]

Tree-based gradient boosting is an ensemble method that builds a powerful prediction model by sequentially adding weak learners (often decision tree stumps). 🌲📈

To help my students really get it, I built a #Python @matplotlib interactive dashboard 🚀🐍

Step through each stump and watch the model update as the residuals and error evolve in real time! 🔥🎯
#MachineLearning #DataScience #AI #Python

[SciPyConf @SciPyConf]

📣 If you’re at #PyConUS2026 next week, catch @InessaPawson
and @juanitagomezr at the Community Showcase on Sunday with flyers and stickers for #SciPy2026! 🙌

If you have questions about the conference or just want to connect with the community, this is your chance 🎉

[Matplotlib @matplotlib]

@shreyanshmisra6 @michaelwaskom Congrats 🥳

[Matplotlib @matplotlib]

🥳

[NumFOCUS @NumFOCUS]

mlpack received $300K from the Sovereign Tech Agency to strengthen open-source ML infrastructure.

Over the next 18 months, you can expect: modern GPU backends, ONNX support, better Python/R/Julia bindings, DuckDB + Arrow integration, and more.

Read more on the NumFOCUS blog: https://t.co/UWfoyi5Sp2

[Michael Pyrcz🌻 @GeostatsGuy]

I’m stoked to teach density-based cluster analysis to my students! 🔥

Agglomerative clustering is a bottom-up hierarchical method: each point starts as its own cluster, then pairs of clusters are repeatedly merged based on similarity until one tree of clusters (a dendrogram) is formed 🌳

Very intuitive—it mirrors how we naturally perceive structure—like pointillism 🎨, where meaning emerges by progressively merging nearby points of similarity into coherent patterns!

To help my students visualize density-based cluster analysis, I built an interactive #Python dashboard with @matplotlib 📊🚀

[Matplotlib @matplotlib]

We have a pre-release we'd love y'all to test! Especially if you use non English scripts - a major part of this release is the overhaul of text and font processing to support modern font features, enabling full internationalization in all languages.
https://t.co/iNqIMuY23i

[Matplotlib @matplotlib]

it's a vibe

[Simone Conradi @S_Conradi]

A degree-100 polynomial p. Color each point z of the plane by arg(p(z)). The zeros are the points where the full color cycle closes on itself. Let the roots drift, and the colors flow with them. Made with #python #numpy #matplotlib in a @marimo_io notebook.

[Marcin Szwagrzyk @SzwagrzykMarcin]

Skąd najlepiej widać Tatry?

Analiza widoczności 329 szczytów Tatr (>2000 m n.p.m.) w promieniu 50 km. Dla każdego z 222 tys. heksagonów obliczono line-of-sight na modelu terenu Copernicus DEM 25m.
@matplotlib @GdalOrg

[Matplotlib @matplotlib]

Cool!

[Tim @timothyvh]

I taught Claude Code to make beautiful @matplotlib charts!

I Built an opinionated skill for publication-quality figures, in a style that I like. It's a work in progress and I hope others will contribute. github link below 👇

[Matplotlib @matplotlib]

🥳

[marimo @marimo_io]

We've recently released many new features that improve the developer experience for computational research, ML, and AI, including a native reactive @matplotlib element, PyTorch formatters, and remote storage inspector.

Learn more in our latest video:

https://t.co/s7NebN9hFl

[Python Software Foundation @ThePSF]

Take a few minutes to complete the 2026 Python Developers Survey and help us map out an accurate landscape of the Python community! #python #pythondevsurvey
https://t.co/uylntO7Z9Z

[Matplotlib @matplotlib]

☘️

[Pawel Jastrzebski 🇵🇱 🇬🇧 @pawjast]

Happy St. Patrick's Day!

Made with @matplotlib.

[Michael Pyrcz🌻 @GeostatsGuy]

This week I told my students a hard truth:

Your spatial data is probably biased,

and yes… that means your statistics, and your models, and your decisions may be biased too.

But I had good news!

We can mitigate this with spatial declustering.

To make sure they really understood, I built a new interactive #Python @matplotlib dashboard yesterday.

Here’s what we explore:

✳️Sample on a regular grid (representative sampling) → the estimate converges to the true mean.

✳️Add infill samples in “good” locations → the mean becomes biased.

✳️Apply declustering weights → the statistics become far more robust under variable sampling density.

You can experiment with it yourself. I just shared the full workflow on my #GitHub @ https://t.co/lAJaoNyGJh.

Education changes lives. Let’s make spatial models better. #DataScience

[Matplotlib @matplotlib]

@seper_sepuluh https://t.co/ddf2V69lmR

[Matplotlib @matplotlib]

Hey folks! Interested in GSOC? Unclear how to use AI properly? Want to contribute and it's all feeling a little ?! Join us for our monthly new contributors meeting and ask all the questions!

[Matplotlib @matplotlib]

👀 so cool!

[marimo @marimo_io]

Our latest release brings richer interactivity to machine learning and scientific computing workflows, including reactive @matplotlib plots, a matrix UI element, a native rich visualizer for @PyTorch modules, and a thread-safe progress bar for parallelizing work.

(1/n)

[Pawel Jastrzebski 🇵🇱 🇬🇧 @pawjast]

There was a time I was recreating music album covers in @matplotlib for fun.

I should get back to it.

What cover do you think is a good material for a "plot😉"?