The next scikit-learn release will allow inspecting the type and values of attributes of fitted estimators in Jupyter notebooks & example code rendered as HTML in sphinx-gallery powered project websites.
scikit-learn.org/dev/auto_exa...
A cool idea from a colleague: a claude/cursor/etc plugin that searches for SKILL.md files in the installed packages of your Python environment
How do you ship AI Agent Skills with your Python library? That is skills for the users of your library, not developers
Silly agent. Asked for a happy little plot and it delivered.
How do you distribute AI Agent skills to users of your python packages? As in, how do people who `pip install` your work get a skill that is relevant to your project?
Why do some people love AI for building software and others hate it? My guess is that people who happen to use code to solve a problem love AI, those who like the process of crafting code hate it.
WDYT?
🎉 Scikit-learn 1.9 released:
■Solid improvements to many existing estimators: faster, more stable, handling missing values, adding GPU support…
â– Also, enhanced estimator displays in notebooks,
â– And callbacks that enable progress bars or monitoring of convergence
blog.scikit-learn.org/updates/rele...
Announcing nteract 2.0! www.nteract.io/blog/nteract...
Native notebook app with managed python environments, realtime collaboration with agents, and some @deno.land to boot.
So war der Winter 2025/26: Ungünstiger Schneedeckenaufbau, sehr grosse Lawinengefahr im Februar, viele Lawinenunfälle
Alle Infos gibt's im WinterrĂĽckblick: www.slf.ch/de/lawinenbu...
đź“· M. Senn
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