While most scientists aren't at the scale of black hole imaging research teams that analyze Petabytes of data every day, you can easily fall into a situation where your laptop doesn't have quite enough power to do the analytics you need.
In this hands-on tutorial, you will learn the fundamentals of analyzing massive datasets with real-world examples on actual powerful machines on a public cloud provided by the presenters – starting from how the data is stored and read, to how it is processed and visualized.
Communities are at the heart of open source software and are fundamental to our projects’ long-term success. The Python ecosystem has several mature projects, that have spent years working on community initiatives. Newer projects can learn from their experiences and build stronger foundations to foster healthy communities.
In this talk, we share a set of practices for community-first projects, including repository management, contributor pathways, and governance principles. We’ll also share real examples from our own journey transitioning a company-backed OSS project, Nebari (https://nebari.dev/), to be more community-oriented.