In modern software development, managing dependencies effectively is crucial for ensuring that applications run smoothly across various environments. This talk explores our journey to optimize Python deployments by integrating Pixi into our workflow. As a tool that enhances the Conda ecosystem, Pixi offers a reliable and efficient solution to the common challenges in dependency management. While concepts such as consistent builds, reproducibility, and automated deployments are well-established, Pixi simplifies their implementation within a Conda-based environment, making these practices more accessible and manageable.

The talk will cover

• DevOps Concept Introducing concepts like lockfile, reproducible environments and CI/CD pipeline to set out a good baseline for deploying python code productively
• Conda vs Pypi comparison Considering the tradeoffs between isolation and development comfort
• Pixi introduction An introduction to the philosphy of pixi and how it compares to other conda tooling. This also covers how Pixi streamlines the implementation of DevOps concepts
• Implementing DevOps concepts using pixi

This talk is designed for professional software developers who prioritize a robust setup for deploying Python code as services into production. While familiarity with the Conda ecosystem is beneficial, it is not a prerequisite for this session.