Magdalena Kowalczuk - Alice in the Open Source Land | PyData Amsterdam 2024

Open source contribution can start with documentation and docstrings - it’s an accessible entry point for beginners

Community engagement through sprints and meetups is crucial for getting started with open source - they provide direct access to maintainers and experienced contributors

Contributing to open source helps develop crucial skills like:

• Git workflow
• Documentation
• Testing
• Collaboration across time zones
• Code review process

Narwhals library serves as a compatibility layer between different dataframe libraries (Pandas, Polars, etc.), allowing tools to be dataframe-agnostic

Don’t be afraid to make mistakes - they are learning opportunities in open source

Ways to start contributing:

• Join PyLadies sprints
• Look for “good first issues” in project repositories
• Reach out to maintainers directly
• Start with documentation improvements
• Attend open source sprints at conferences

Building confidence takes time - start small and gradually take on more challenging tasks

Open source projects value different types of contributions beyond just code:

• Documentation
• Testing
• Community building
• Bug reports

~90% of software contains open source code, showing its widespread importance

Focus on finding projects that align with your interests and have welcoming communities for newcomers