Let's contribute to scikit-learn! Mentored workshop - optional preparation event

PyLadies Berlin are excited to bring you this open source workshop dedicated to setting up your scikit-learn development environment.

scikit-learn is a popular machine learning library and is widely adopted in industry as well as academia. This is a warm-up session for the upcoming workshop, but it is open to anyone who would like to get guidance, even if you won’t attend the workshop. No prior contributing experience required!

In addition, PyLadies Berlin offers regular open source hack events where you can continue to meet and work on your contributions together.

• Format for the session:
First 15minutes : introduction - what you can contribute, how to contribute, and how to set up your development environment;
The rest : "office hours", during which you'll be mentored through setting up a development environment.

By setting up your development environment in advance, you can use the in-person workshop time for finding an issue to work on, and working on a contribution.

Please be aware that it could take longer to set up a development environment on ​​a computer running a Windows operating system compared to MacOS or Unix. We will guide you through the steps, and they are useful to learn for many open source projects.

To get the most out of the session, it's encouraged that you check out this repository and follow the instructions under "1.environment.md" and "2.building.md": https://github.com/scikit-learn-inria-fondation/EuroSciPy22 . You will also find a lot of useful additional information on this page.

• Audience level
Everyone is welcome to attend this session! If you've never contributed to open source software before, then you will learn how to, and if you have experience contributing, then you can either help mentor other attendees or you can work on more challenging contributions. It is useful to have some scikit-learn, git, and python experience.

• Facilitators
The session will be lead by Maren Westermann (PyLadies Berlin) and Adrin Jalali (scikit-learn maintainer).

• Host
This event is being sponsored by Sauce Labs
Food and drinks will be available by our hosts 🥳

• By attending our event, you agree to the PyLadies Code of Conduct:[ https://www.pyladies.com/CodeOfConduct/](https://www.pyladies.com/CodeOfConduct/)

❓ Can men attend ❓
Everyone is welcome. :)
If you identify as someone well-represented in open source and in tech, please be mindful of the space and privileges you have, and use it to support others.

❗❗ Attention❗❗
To make all in-person attendees feel safe, we ask everyone to be fully vaccinated or recovered (2G) and additionally IRRESPECTIVE OF THE BOOSTER STATUS, when possible, we suggest wearing masks during the event to be more considerate of others. Please refrain from coming to the event if you feel unwell, we try to make our content also available online, either live or as a recording after the event.
Kindly note that not all participants will be wearing masks. If you are compromised by this, please let us know, and we will ask folks to respect it upon arrival, but we can’t guarantee everyone will follow the recommendation. Also, folks do remove masks for eating and drinking. Please let us know if you have other ideas for how we can help you attend in-person events.

• Contact
Interested in speaking at one of our events? Have a good idea for a Meetup? Get in touch with us at berlin@pyladies.com
Find us on the PyLadies Global workspace:
1. https://slackin.pyladies.com enter your email address.
2. Accept the email invitation
3. Go to workspace https://pyladies.slack.com
4. Join channel #city-berlin, #germany, #jobs-europe