What we’re about
Whether you're a beginner or a core developer, if you want to contribute to open source, this meetup is for you!
In our sprints, you will:
- Learn how open-source development works.
- Learn about Python and your favourite libraries.
- Contribute new features, fix bugs, and improve the documentation, so the whole community can benefit.
- Have a great time, meet new cool people, and learn from one another.
Just bring your laptop and yourself. 🙂💻
If you want to propose a sprint about a particular library, feel free to get in touch!
We expect people in our group to follow the NumFOCUS code of conduct. No form of harassment or discrimination is tolerated during our events or online interactions. Please get in touch with the organizers for any reports.
Upcoming events (1)
See all- scikit-learn Open-Source Sprint [Beginners Welcome]ETH AI Center, Zurich
Welcome to our open-source sprint meetup!
Once again, we will have the chance to contribute to scikit-learn, one of the most popular open-source libraries for machine learning!
We'll have core developers from scikit-learn lead the sprint. As always, we welcome new contributors. For beginners in open-source, we'll have a beginners' table for making your first pull request on GitHub.
Please read the details below for more info on how to prepare for the event and what to expect during the evening.
⚠️ This event has limited seats and may have a waiting list. If you are confirmed but can't attend, please remember to release your place to someone else. Similarly, please don't show up if you're on the waiting list but haven't been confirmed. Unfortunately, we'll not be able to accommodate more people than planned.
SPONSORS ✨
A huge thanks to Thomson Reuters Labs for sponsoring this event and ETH AI Center for hosting us!
AGENDA 🗓️
- 18.30: Welcome, networking, drinks and food
- 18.45: Sponsors presentation, scikit-learn presentation
- 19.00: Coding
- 21.30: End of the event
HOW TO PREPARE FOR THE SPRINT 💻
You need to bring your own laptop and have a development environment already set up:
- Create the scikit-learn development environment following the instructions from steps 1 to 6
- (Optional) Extra videos resources are also available if you want to learn more about how to contribute to Scikit-Learn.
First Time Contributors
- Create a GitHub account if you don't have one.
- Install Python if you don't have it already (for this sprint, we suggest using Miniconda or Anaconda).
- If you can, set up the development environment as shown above. If you experience any problems, we'll help you fix them during the event.
- Check out the videos linked above to get familiar with the process of contributing to scikit-learn.
Code of Conduct
Please be reminded that all participants are expected to follow the NumFOCUS Code of Conduct.
![scikit-learn Open-Source Sprint [Beginners Welcome] cover photo](https://secure.meetupstatic.com/photos/event/1/a/0/b/event_528066667.webp "scikit-learn Open-Source Sprint [Beginners Welcome]")
