#37 Paris Women in Machine Learning & Data Science: scikit-learn sprint

  • Almost 30 pull requests
  • 19 of them (when these lines are written) have been accepted already
  • 19 participants
  • 100% happiness and pride!
  • All the setup and guidelines were explained in specific github repository. It was crystal clear, and guided step to step: you can rely on it if you want to start.
  • During this sprint, a couple of issues, and more exactly meta-issues (which are issues listing a problem in plenty of different places, to be fixed individually), were listed in a specific board. Although we made some progress, they are still open if you want to have a look!
  • The mainteners and core contributers of scikit learn label some issues as “good first issue”. It’s a label to encourage people to step in with these easier issues. You can find them here.
  • Scikit-learn has a webpage explaining how to contribute.

--

--

Get the Medium app

A button that says 'Download on the App Store', and if clicked it will lead you to the iOS App store
A button that says 'Get it on, Google Play', and if clicked it will lead you to the Google Play store