Avik Basu - Reproducible work environments for data scientists using Nix | PyData NYC 2024

www.pydata.org

As a data scientist, it is important to communicate results and findings with stakeholders and other cross-functional teams. However, it is also crucial to reproduce the results among ourselves and different teams. Unfortunately, different operating systems, package versions, and package managers make it hard to run the same module seamlessly across different machines. In this talk, we will explore how to create reproducible work using Nix and how it can be a very useful tool for any Data Scientist or ML Engineer.

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