Data umbrella


Scikit-learn Open Source Sprint

October 23, 2021 (Saturday)

3pm-7pm (WAT *)

5pm-9pm (EAT *, AST *)

* WAT = West Africa Time

* EAT = East Africa Time

* AST = Arabic Standard Time



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SPRINT INformation

We are excited to announce our 2021 scikit-learn open source sprint! The scikit-learn sprint is a 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: This sprint is focused on increasing the participation of folks in scikit-learn from Africa and Middle East region.

WHEN: Saturday, October 23, 2021

APPLICATION CLOSES ON: Extended to October 17, 2021. If you need internet data packages, please indicate that on your application. We will cover the costs. You can contact us at


  • New York time: 10am - 2pm

  • West Africa time: 3pm - 7pm

  • Paris time: 4pm - 8pm

  • East Africa time: 5pm - 9pm


Time Zone

Reference: Time Converter



1. Follow the Code of Conduct and contribute to creating a professional, welcoming and inclusive environment.

2. Must have a GitHub account.

3. Must have working knowledge of Python.

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

5. It is helpful to have some familiarity with Git.

6. It will take you 2 to 4 hours of prep work prior to the sprint.

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

Crash course in contributing to open source projects

Andreas Mueller

Example of Submitting a Pull request to scikit-learn

Reshama Shaikh

Sprint instructions (VOL 2)

Andreas Mueller


Reshama Shaikh

Intro to sphinx

Mariatta Wijaya


sphinx for Python DOCUMENTATION

Melissa Weber

Components of Reviewing a Pull REquest

Thomas Fan

Key Links

Support Open Source

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