Building applications that rely on specific GDAL versions or GPU-enabled ML libraries across platforms can quickly spiral into dependency hell. If you've wrestled with Conda environments, brittle Docker builds, or sluggish install times, you're not alone.

This session introduces Pixi, a modern tool that makes dependency management simple and reliable. We’ll walk through real-world examples that show how to combine PyPI and Conda packages, manage multiple environments, define reproducible tasks, and build clean Docker images, all from a single config file. Whether you're publishing a library or deploying an application, Pixi helps you develop with confidence.