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datapythonista.bsky.social
Marc Garcia
@datapythonista.bsky.social
60 followers 84 following 3 posts
Founder at Quantitative Mining working on decision tree based models and Rust.

Open source and Python: pandas core developer, PSF fellow, former EuroSciPy co-organizer, NumFOCUS community award. https://datapythonista.me
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Reposted by Marc Garcia
pola.rs
Polars 1.31 is released. With as highlight DataType expressions✨. These allow you to get the datatype of an expression dynamically.

See the full changelog here.

github.com/pola-rs/pola...

Want something more with DataType expressions, here is the RFC:

github.com/pola-rs/polars
Release Python Polars 1.31.0 · pola-rs/polars
💥 Breaking changes Remove old streaming engine (#23103) ⚠️ Deprecations Deprecate allow_missing_columns in scan_parquet in favor of missing_columns (#22784) 🚀 Performance improvements Improve ...
github.com
June 18, 2025 at 2:37 PM
datapythonista.bsky.social
We just reorganized the pandas ecosystem page. Is it clearer? Anything missing or not useful? Feedback welcome

pandas.pydata.org/community/ec...
pandas - Python Data Analysis Library
pandas.pydata.org
June 16, 2025 at 9:59 PM
datapythonista.bsky.social
pandas 2.3 has been released, the last version before pandas 3.0.
June 5, 2025 at 7:36 AM
datapythonista.bsky.social
This seems nicer than Twitter and Mastodon so far. Happy to reconnect with many people I didn't see for a while.
November 28, 2024 at 2:55 PM
Reposted by Marc Garcia
jacobtomlinson.dev
pixi for science
uv for everything else
November 27, 2024 at 12:36 PM
Reposted by Marc Garcia
ogrisel.bsky.social
I recently shared some of my reflections on how to use probabilistic classifiers for optimal decision-making under uncertainty at @pydataparis.bsky.social 2024.

Here is the recording of the presentation:

www.youtube.com/watch?v=-gYn...
A high-level summary diagram taken from the slides linked below. It shows the interplay of two main components: a probabilistic model and decision maker or planner. Probabilistic predictions of an underfitting polynomial classifier on a noisy XOR task and the corresponding under-confident calibration curve. Probabilistic predictions of an overfitting polynomial classifier and the resulting overconfident calibration curve on the same noisy XOR problem. Simulation study to show the relative lack of stability of hyperparameter tuning when using hard metrics such as Accuracy or soft yet not probabilistic metrics such as ROC AUC compared to a strictly proper scoring rule such as the log-loss.
November 27, 2024 at 2:17 PM
Reposted by Marc Garcia
marcogorelli.bsky.social
✨ New Vegafusion release (2.0)!

🦀 Modernized Rust core

➡️ Arrow PyCapsule Interface

🌊🦄 Narwhals for agnostic Dataframe support

👉 Full release notes vegafusion.io/posts/2024/2...
Vegafusion demo
November 25, 2024 at 9:21 PM
Reposted by Marc Garcia
scikit-learn.org
Please help us test the first release candidate for scikit-learn 1.6: pip install scikit-learn==1.6.0rc1

Changelog: scikit-learn.org/1.6/whats_ne...

In particular, if you maintain a project with a dependency on
scikit-learn, please let us know about any regression.
Version 1.6
Legend for changelogs something big that you couldn’t do before., something that you couldn’t do before., an existing feature now may not require as much computation or memory., a miscellaneous min...
scikit-learn.org
November 22, 2024 at 2:49 PM