Avik Basu – Reproducible Python projects using Nix | PyData Global 2024
www.pydata.org
As data scientists and machine learning engineers, it is crucial that we can reproduce results and seamlessly share projects across teams and stakeholders. However, differing operating systems, Python environments, package versions, and package managers often hinder reproducibility across different machines. This talk will explore how Nix can be leveraged to create reproducible work environments and how it can be a convenient tool for any Data Scientist or ML Engineer.
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