Python Ireland

> Note: If you have registered via luma, please dont double register here, Thanks.

Talk: Decoding Open Source: How to Find Your First (Healthy) Community.

Not all open source projects are created equal. While open source projects may share the same license(s), the experience of contributing varies from project to project, from corporate-led open source projects, grass-roots python projects, to projects belonging to foundations such as PyTorch Foundation and Cloud Native Computing Foundation.

We will pull back the curtain on the 'Open Source Spectrum' and the broad array of common roles within open source communities. Let’s look beyond the README.md, and investigate the social dynamics and how you can confidently navigate your way from an outsider to a contributor.

Attendees will walk away understanding how to navigate across different open source projects, being able to identify opportunities for both code and non-technical contributions, and recognise various “green flags” that signal a healthy open source community, while making a lasting first impression.

Target Audience:
- People looking to start contributing to open source projects, and who want to learn some red/green flags on communities/projects.
- People listed above would most likely be college students, early career engineers, or engineers who primarily work on Closed Source and are looking for more open source opportunities.
- Experienced open source contributors can provide insightful feedback and stories during and after the presentation

Author: Dominik Kawka
[https://www.linkedin.com/in/dominik-kawka/]
[Dominik Kawka is a Community Architect in Red Hat's Open Source Program Office. He focuses on AI communities, including CNCF projects such as Kubeflow and KServe, and RamaLama.]

Author: Ananya Nalavathu
[https://www.linkedin.com/in/ananyanalavathu/]
[A Master’s student in Management and Marketing, with a focus on Digital Marketing. She is interested in community-driven initiatives and exploring the intersection of technology and marketing.]

=============================
Talk: TBA
=============================
Lightning Talk:

1. TBA