scikit-learn is a highly successful and popular Python library for data science and machine learning. It is open source and has a large contributor base. I had the pleasure to meet with some of the scikit-learn team to talk about how they got involved and how it is possible to run an Open Source project of this size and scale. If you like to get involved, here are a few links to their home page and GitHub repository.https://scikit-learn.org/stable/index.html scikit-learn homepagehttps://github.com/scikit-learn/scikit-learn GitHub repohttps://blog.scikit-learn.org Blog postGo to the community page of scikit-learn to get links to LinkedIn, Twitter and othersGet in touchThank you for listening! Merci de votre écoute! Vielen Dank für´s Zuhören! Contact Details/ Coordonnées / Kontakt: Email mailto:[email protected] UK RSE Slack (ukrse.slack.com): @code4thought or @piddie Bluesky: https://bsky.app/profile/code4thought.bsky.social LinkedIn: https://www.linkedin.com/in/pweschmidt/ (personal Profile)LinkedIn: https://www.linkedin.com/company/codeforthought/ (Code for Thought Profile) This podcast is licensed under the Creative Commons Licence: https://creativecommons.org/licenses/by-sa/4.0/

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