Podcast: Code for Thought
Erschienen: 02.04.2024
Dauer: 00:43:56
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 othersSupport the showThank you for listening and your ongoing support. It means the world to us! Support the show on Patreon https://www.patreon.com/codeforthought Get in touch: Email mailto:code4thought@proton.me UK RSE Slack (ukrse.slack.com): @code4thought or @piddie US RSE Slack (usrse.slack.com): @Peter Schmidt Mastadon: https://fosstodon.org/@code4thought or @code4thought@fosstodon.org 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/
Weitere Informationen und umfangreichere Shownotes gibt es ggf. auf der Podcast-Website.
Podcast-Website: Episode "[EN] scikit-learn: Software is People"
