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Learn Polars

Learn the basics of data wrangling with a high-performance Python library called Polars.

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You can open and run these notebooks in molab, marimo's free hosted notebook platform.

Notebooks

  • Open in molab An introduction to Polars
  • Open in molab DataFrames
  • Open in molab Loading Data
  • Open in molab Basic operations on data
  • Open in molab Reactive Plots
  • Open in molab Polars with Marimo's Dataframe Transformer
  • Open in molab SQL Features in Marimo and Polars
  • Open in molab Working with Columns
  • Open in molab Data Types
  • Open in molab Strings
  • Open in molab Dealing with Missing Data
  • Open in molab Aggregations
  • Open in molab Window Functions
  • Open in molab User-Defined Functions
  • Open in molab Lazy Execution

Contributors

Thanks to our notebook authors:

Running Notebooks

To run a notebook locally, use:

uvx marimo edit <URL>

You can also open notebooks in our online playground by adding marimo.app/ to a notebook's URL.

Want to Contribute?

Help us improve these learning materials by contributing to the GitHub repository. We welcome new content, bug fixes, and improvements!

Contribute on GitHub