Polars is a fast way to work with data in Python. It helps you clean, filter, and transform large datasets quickly. Many people use it for analytics and moving from pandas.
You can write simple expressions to build complex data steps. Polars runs your work in parallel and even handles data that does not fit in memory. It works well with Apache Arrow and can use your GPU.
Polars is great for data pipelines and reporting. It makes tough data tasks easier and faster.
Add Polars skill to your workflow
Global
mkdir -p ~/.claude/skills/polarsProject
mkdir -p .claude/skills/polarsSource Repository
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