Skip to content

lidkalee/PyconPL2025_Polars

Repository files navigation

Dive into Polars - an efficient DataFrame library for data manipulation and analysis with scientific applications

Igor Zubrycki & Lidia Lipińska-Zubrycka

Polars, a modern and powerful alternative to Pandas, offers a fast, efficient, and enjoyable experience for data analysis. In this beginner-friendly workshop, you will learn to use Polars to analyze datasets of all sizes, from small to large.

We will explore Polars’ expressive and intuitive API and demonstrate how to perform common data tasks, including:

  • loading and ingesting diverse, multi-file datasets,
  • cleaning, transforming, and reshaping your data,
  • performing insightful aggregations, filtering, and querying,
  • preparing data for effective visualization,
  • and running these operations efficiently.

You'll also get hands-on experience with Polars expressions — a key feature for unlocking its performance and writing concise, powerful code.

Start with Dive_into_Polars_PyConPl2025

Polars Open In Colab

Read more about Balonikotron device used as an example here Novel Robotic Balloon-Based Device for Wrist-Extension Therapy of Hemiparesis Stroke Patients

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Contributors 2

  •  
  •