Thanks a lot!
Best

Prof. Alessandro Mantovani, MD, PhD
Department of Medicine, University of Verona, Verona, Italy
Metabolic Disease Research Unit, IRCCS Sacro Cuore - Don Calabria Hospital, 
Negrar di Valpolicella (VR), Italy
E-mail: [email protected]
ORCID: 
http://orcid.org/0000-0002-7271-6329<https://urldefense.proofpoint.com/v2/url?u=http-3A__orcid.org_0000-2D0002-2D7271-2D6329&d=DwQGaQ&c=68L3JBqqiV6xi5WaZK0Zh1EsHqZczF0YL8bbEH5V5e8&r=LgMoh8O7qgQwMsjz6XEgwCu2hbidM7yZdePlrXfJ8BJ3y25Ibx_sgiBcKRS8f5F5&m=HlWUGTSds91PtuDoVl02Av-yR3IUHt3KEts_mXF_B2kYg6Lf6NII61TkX5hgsMbi&s=7AGs7GnYt4JOiu6g6Xb9mKb5QDqHy9zUREwq3xXbFFU&e=>
Scopus Author ID: 57200609626
RESEARCHERID: AAB-9015-2019
________________________________
Da: Tim Head via scikit-learn <[email protected]>
Inviato: giovedì 11 dicembre 2025 09:25
A: Scikit-learn mailing list <[email protected]>
Cc: Tim Head <[email protected]>
Oggetto: [scikit-learn] Re: [ANN] scikit-learn 1.8.0 release

Thanks a lot for making the release!


T

On Wed, 10 Dec 2025 at 14:58, Loïc Estève via scikit-learn 
<[email protected]<mailto:[email protected]>> wrote:

Hi everyone,

We're happy to announce the 1.8.0 release which you can install via pip or
conda:

    pip install -U scikit-learn

or

    conda install -c conda-forge scikit-learn


You can read the release highlights under
https://scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_1_8_0.html
and the long list of the changes under
https://scikit-learn.org/stable/whats_new/v1.8.html

This version supports Python versions 3.11 to 3.14 and features support
of free-threaded CPython 3.13 and 3.14.

Thanks to all contributors who helped on this release !

Loïc,
On behalf of the scikit-learn maintainers team.
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