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Recent Events
#47 Pixi: Package management that doesn't stop at Python packages.
Ruben Arts — May 27, 2026
Recording Coming Soon!
Pixi is a cross-platfrom cross-language package manager that is build on top of the conda-ecosystem and integrates well with PyPI. It provides a workflow similar to other modern packages managers like uv, yarn, cargo but for every language on every OS. In this presentation you'll learn the basic usage of Pixi and where it really shines. More info can be found on https://pixi.sh
Coming Soon#46 Build your castle, dig your moat: AI sovereignty, provenance and compliance
Dawn Wages — April 29, 2026
Your intelligent application is your castle, and your security practices are the moat that protects it. Inside your castle, you must aim for full visibility into what you’re running and why, with freedom to iterate without vendor rate limits or surprise API changes. Your moat creates your security perimeter, ensuring no proprietary data leaves your castle and enforcing best practices including data provenance, cryptographically signed models, evaluation tools, build pipelines and reproducible environments.
Build on your infrastructure, answer to your requirements, scale on your terms.
In this Python Exchange you’ll learn…
- What AI sovereignty actually means for your stack and your business
- How to evaluate self-hosted, local LLMs
- Overview of supply chain security controls for data and code artifacts – provenance, signatures and compliance measures, opacity and trust signals
#45 Diátaxis in practice - and in the wild
Daniele Procida — March 25, 2026
You let ideas loose and then they have a very interesting life of their own!
It’s nearly ten years since I first began writing and talking about the ideas that shaped the Diátaxis documentation approach. In that time, I’ve seen Diátaxis adopted widely, including in contexts I had not even anticipated. I’m aware of hundreds of software projects that use it.
I now have a much stronger sense of how it’s interpreted and used, especially when those ideas are picked up by people that I haven’t met or spoken to.
The lessons learned from seeing what happens when people get hold of those ideas have helped me understand the problems it’s actually solving - not always the ones I’d expected. It has also given me insight into the aspects of the framework that are liable to be misunderstood, or interpreted too rigidly.
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At Don’t Use This Code, we want to create a unique opportunity to see Python succeed and thrive within the National Labs! We propose creating a new resource for scientists, researchers, and technical staff to support their use of Python and to build a strong, lasting community for Python users within the Department of Energy National Labs. Disclaimer: The Python Exchange is an independent group of Python enthusiasts who wish to see the use of Python and open-source computing thrive within the National Lab system. This group is not sponsored by or affiliated with the Department of Energy.