SciPy 2025 tutorial on Reproducible Machine Learning Workflows for Scientists with Pixi

Development

1. Install Pixi
2. Clone this repository and navigate to the top level
3. Run

pixi run start

4. Edit files under book/

For reference on MyST functionality and features reference the MyST documentation.

Acknowledgments

This tutorial was supported by the US Research Software Sustainability Institute (URSSI) via grant G-2022-19347 from the Sloan Foundation, Prefix.dev, and NVIDIA.

Citation

@software{reproducible_machine_learning_scipy_2025_tutorial,
author = {Feickert, Matthew and Arts, Ruben and Kirkham, John},
doi = {10.5281/zenodo.16320203},
license = {BSD-3-Clause},
title = {{Reproducible Machine Learning Workflows for Scientists with Pixi}},
url = {https://github.com/matthewfeickert-talks/reproducible-ml-for-scientists-with-pixi-scipy-2025/releases/tag/scipy-2025}
}