If you’ve ever wondered how to speed up data analysis in your Python DataFrames, then considerer Polars, a popular DataFrame library written from the ground up in Rust. https://github.com/pola-rs/polars  This workshop will start with the basics of Polars, along with a comparison to Pandas DataFrame. Participants will walk through Python code exploring functions and features of Polars, for example load and transform data from CSV, Excel, Parquet, IPC or a database connection, perform data analysis in parallel and prepare data for machine learning pipelines.  This is a hands-on workshop so please bring your laptops and you’re excepted to have some basic background with programming/Python and Jupyter notebooks. If you’ve been curious about DataFrames in Python and how to get started then do feel free to join us too!

Participants will learn how to get started with Polars, the syntax and how to break down problems into code.

1. Must be familiar with Python 2. Have used Pandas before even if it is in basic use cases 3. Must bring laptop with Python 3 installed