This tutorial introduces Polars with practical examples. Polars supports lazy and eager execution modes, making it ideal for large datasets. It provides a Pandas-like API with additional optimizations. Creating a DataFrameThis example shows how to create a Polars DataFrame from a dictionary. ...
Inspired by the reigning pandas library, Polars takes things to another level, offering a seamless experience for working with large datasets that might not fit into memory. In this tutorial, you’ll learn: Why Polars is so performant and attention-grabbing How to work with DataFrames, ...
This tutorial covers how to use Polars DataFrames with practical examples. Polars provides a DataFrame API similar to Pandas but with better performance. It is optimized for large datasets and supports lazy evaluation for efficient query execution. ...