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Estimating Conditional Average Treatment Effects with the metalearners library

We show how we ship conda environments into production using the pixi package manager. To do that, we introduce a tool called pixi-pack.

We built a tool to automatically keep all of our repositories up-to-date with the latest best practices and dependency versions.

The new glum release introduces a formula interface that simplifies preprocessing and offers various enhancements for categorical and mixed sparse and dense data.

Tired of writing complicated Polars expressions? polarIFy automatically translates your easy-to-read Python methods into efficient Polars expressions!