Hi PyLadies Berlin! We have organized an online sprint to help folks start contributing to the open-source project SciPy 🥳

SciPy is a collection of mathematical algorithms and convenience functions built on NumPy. It adds significant power to Python by providing the user with high-level commands and classes for manipulating and visualizing data.

During the sprint, you will have the opportunity to work on issues for the SciPy project, learn more about the project, and get support from maintainers and coaches.

To get the most from this event you will need to have some understanding of GitHub, git, and Python but do not need to be an expert. Some knowledge of SciPy and Datascience will help you but is not essential.

🚨 Before the Sprint:

Look through the SciPy Contributing documentation

The following documentation will help you set up and build a local development environment:

• Fork and configuration of SciPy repository
• Contributor quickstart guide
• Complete build instructions
• As an alternative, use the SciPy GitHub codespaces setup (this works without having to install anything, get to coding straight away in the browser!). Find more information in the docs
• General guidelines for contributing:
• Read through the recommended development workflow.
• Read through the how-to guide to contributing to SciPy documentation (same as NumPy).

We will have two SciPy maintainers supporting the sprint ✨

🌟 Melissa is a Senior DevEx Engineer at Quansight. She is a NumPy and SciPy maintainer, focusing on documentation, contributor experience, and DEI work.

🌟 Kai is a software developer at BHP. He enjoys being a part of the free and open-source community and helping others get into technology. Kai mentors at SheCodes (Aus) and he leads the Python WA Meetup group.

🌟 Lucas is a student at the University of Oxford who began contributing to open source this year. He is a SciPy contributor who recently interned at Quansight, working on array library interoperability.

📆 Agenda 10h30 Meet online in GatherTown (link to be shared with attendees) 11h00 Intro to SciPy 11h15 Break out into groups & work on issues (self-directed, take breaks when you need) 15h30 Wrap up (potentially play online games together if folks wish)

❓ 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.

🤝 By attending our online event, you agree to the PyLadies Code of Conduct: https://www.pyladies.com/CodeOfConduct/

📧 Contact Interested in speaking at one of our events? Have a good idea for a Meetup? Get in touch with us at [email protected]

💬 Find us on the PyLadies Global workspace:

1. https://slackin.pyladies.com enter your email address. Accept the email invitation
2. Go to workspace https://pyladies.slack.com
3. Join channel #city-berlin, #germany, #jobs-europe