Hello,
Read on for March 2022 updates from scikit-learn. [1] scikit-learn has a * BLOG * ! [2] Blog: Performance in scikit-learn [3] Blog: Three Components for Reviewing a Pull Request [4] Calendar: Office Hours and Meetings [5] scikit-learn is on social media: support us & get updates by following us! [6] scikit-learn MOOC is ongoing and you can still sign-up! [7] NumFOCUS Open Source Research Project [1] We would like to share a significant milestone in scikit-learn: a BLOG! https://blog.scikit-learn.org This blog was created using open source tools such as Jekyll and GitHub Pages. Lauren Burke, the blog creator, will be sharing how to get started creating a blog and hosting it for free. Sign-up is here for the March 22 event: https://www.meetup.com/data-umbrella/events/284042132/ >Jekyll is a static site generator that can be used to create a custom website simply, efficiently, and for free of charge. In this session, you will learn to set up a Jekyll-based website and blog, install a basic theme, add customizations, and host it via GitHub Pages. [2] Maintainer Julien Jerphanion has written a few articles on performance in scikit-learn. >scikit-learn has been around for more than 10 years. Yet, scikit-learn has some room to maneuver when it comes to performance. This series of blog posts aim to explain the on-going work of the scikit-learn developers to boost the library’s performance. https://blog.scikit-learn.org/technical/performances/ [3] Maintainer Thomas Fan has presented on etiquette in open source (video + slides + blog), "Three Components for Reviewing a Pull Request": 1. The mechanics of code review on GitHub. 2. The social aspects of code review and how to effectively give feedback. 3. The technical aspects of reviewing a pull request. Blog: https://blog.scikit-learn.org/community/pull-request/ Video: https://youtu.be/dyxS9KKCNzA [4] There is a handy calendar available on the blog website with meetings (Community Office Hours, Triage Team Meeting, Monthly Developer Meetings). https://blog.scikit-learn.org/calendar/ [5] Connect with scikit-learn on Social Media by following us on your favorite platforms! Feel free to share with others in your community including colleagues and students. [a] Twitter: https://twitter.com/scikit_learn [b] Twitter (commits): https://twitter.com/sklearn_commits [c] LinkedIn: https://www.linkedin.com/company/scikit-learn/ [d] YouTube: https://www.youtube.com/channel/UCJosFjYm0ZYVUARxuOZqnnw/playlists [e] Facebook: https://www.facebook.com/scikitlearnofficial/ [f] Instagram: https://www.instagram.com/scikitlearnofficial/ (photos worth seeing here!) [g] TikTok: https://www.tiktok.com/@scikit.learn [6] MOOC The second edition of the scikit-learn MOOC, Machine Learning in Python with scikit-learn, is open (registration <https://www.fun-mooc.fr/en/courses/machine-learning-python-scikit-learn/>). This *free* online course runs from February 15 to May 17, 2022. It is beginner-friendly, and a strong technical background is not required. Learners should have some familiarity with numpy, pandas, matplotlib. A certificate will be issued upon completion. There is still time to join this course. [7] NumFOCUS Open Source Research Project scikit-learn is working with NumFOCUS <http://numfocus.org> on a research project <https://numfocus.org/diversity-inclusion-disc/a-pivotal-time-in-numfocuss-project-aimed-dei-efforts?eType=EmailBlastContent&eId=f41a86c3-60d4-4cf9-86cf-58eb49dc968c> funded by the Gordon & Betty Moore Foundation <https://www.moore.org/> to understand the barriers to participation that contributors, particularly those from historically underrepresented groups, face in the open-source software community. The research team would like to talk to new contributors, project developers and maintainers, and those who have contributed in the past about their experiences joining and contributing to scikit-learn. Interested in sharing your experiences? Please complete this brief “Participant Interest <https://numfocus.typeform.com/to/WBWVJSqe>” form which contains additional information on the research goals, privacy, and confidentiality considerations. Your participation will be valuable to the growth and sustainability of diverse and inclusive open-source software communities. Accepted participants will participate in a 30-minute interview with a research team member. Cheers, Reshama & Lauren https://scikit-learn.org/dev/about.html
_______________________________________________ scikit-learn mailing list scikit-learn@python.org https://mail.python.org/mailman/listinfo/scikit-learn