Scikit-learn Sprint (to contribute to open source)

Complete this form to participate: https://forms.gle/ftxquZYrY4FwmETw8

AGENDA
8:30am - 9:30am: Breakfast and technical support
9:30am - 1:00pm: Sprint
1:00pm - 2:00pm: Lunch
2:00pm - 5:00pm: Sprint

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Code of Conduct

WiMLDS is dedicated to providing a harassment-free experience for everyone. We do not tolerate harassment of participants in any form. All communication should be appropriate for a professional audience including people of many different backgrounds. Sexual language and imagery is not appropriate.

All attendees should read the full Code of Conduct before participating: https://github.com/WiMLDS/starter-kit/wiki/Code-of-conduct

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DESCRIPTION

We would like to increase the number of women in open source, particularly for the Python machine learning library scikit-learn. The scikit-learn repository (https://github.com/scikit-learn/scikit-learn) has over 1000 issues open. By organizing and offering this workshop, we hope to increase women’s participation in open source as well as advance the scikit-learn library.

The plan is to work in pairs. The goal is that each participant will be able to resolve one trivial fix and one actual fix.

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GitHub Repo

https://github.com/WiMLDS/nairobi-2019-scikit-sprint

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PREPARATION

We will review the basics of Git at the beginning of workshop so attendees are able to submit pull requests.

1. Hardware

• bring your laptop & charger

2. Software

• have Python installed via Anaconda. (Anaconda includes Jupyter Notebook)

3. Python / R

• be comfortable with Python
• familiarity with Jupyter Notebook

R users are also welcome and able to contribute:

• your math knowledge
• help with documentation
• good idea to look at sphinx and ReST
  http://www.sphinx-doc.org/en/master/
  http://docutils.sourceforge.net/docs/user/rst/quickstart.html

4. Git

• Git should be installed
• should have a GitHub account (save your password where you can find it)
• some familiarity with Git / GitHub
• review some Git resources prior to event
• we'll go over pull requests at beginning of event

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Scikit-learn

1. Read thru "Contributing" documentation

• http://scikit-learn.org/stable/developers/contributing.html
• it is approximately 16 pages

2. Review Open Issues
   go through some Issues and become familiar with them
   https://github.com/scikit-learn/scikit-learn/issues

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Instructor Bio

This event will be led by Adrin Jalali. Adrin started actively contributing to the scikit-learn project in July 2018, and in December 2018 the community decided to promote him to a core developer. In addition to actively reviewing the contributions during the NYC Fall 2018 sprint, he also attended the scikit-learn sprint in Paris, in February 2019. There are roughly 10-20 active contributors to scikit-learn right now, few being as active as Adrin. This is in stark contrast to the approximately hundreds of thousands of users of the project.

Adrin Jalali linkedin: https://www.linkedin.com/in/adrinjalali/