Learn Polars

🚧 This collection is a work in progress. Please help us add notebooks!

This collection of marimo notebooks is designed to teach you the basics of data wrangling using a Python library called Polars.

Planned notebooks.

Any notebook with the status "🚧" needs a contributor! Please file an issue if you plan to contribute.

Notebook	Description	Status
Why Polars	An introduction to Polars and its advantages over other Dataframe libraries.	✅
Series	Homogenous columns of data	🚧
DataFrames	The central datastructure for structured data	🚧
Loading data	Loading data from various different sources	🚧
Basic operations	Basic operations on data	🚧
Working with columns	Expression expansion and columns	🚧
Data types	Basic types and casting	🚧
Strings	Working with strings	🚧
Missing data	Handling missing data	🚧
Aggregations	Group bys and aggregations	🚧
Window functions	Advanced expressions with windowing functions	🚧
User-defined functions	Using custom Python operations	🚧
NumPy functions	Applying NumPy functions to DataFrames	🚧
Lazy execution	Lazily process queries with LazyFrames	🚧

Running notebooks. To run a notebook locally, use

uvx marimo edit <file_url>

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

Authors.

Thanks to all our notebook authors!