We are excited to announce our first Bay Area scikit-learn open source sprint! The scikit-learn sprint is a one-day hands-on "hackathon" where we work on issues in the scikit-learn GitHub repo and learn to contribute to open source.

This event is by application, and applications are processed on a rolling basis.

OUR GOAL: to increase the participation of women and gender minorities in scikit-learn and python (see Gender Imbalance)

WHEN: Saturday, November 2, 2019

TIME: 9 am to 6 pm

WHERE: San Francisco, CA (venue details)

REQUIREMENTS

1. Must know Python

2. Must have some knowledge and experience using scikit-learn, the Python machine learning library

3. Must have some familiarity with Git

Read through this website for full information (including Prep Work) and then submit application.

Key Links

Support Open Source

There is no charge for the sprint. We ask you to donate a nominal amount ($5 to $10) or more (depending on your budget) to NumFOCUS to support open source.

For "Donation Dedication:" indicate "scikit-learn"