11-06, 13:20–14:50 (US/Eastern), Central Park West
I've spent a good deal of my career helping others leverage Pandas. This tutorial will explore Polars, an up-and-coming library that addresses many of the warts and common complaints with Pandas. Join us to see if your organization should consider Polars.
Polars is a highly optimized dataframe library that allows you to manipulate and analyze large datasets easily.
In this session, we will introduce you to the key features of Polars and compare them to the popular Pandas library. You will see:
- Common operations in both libraries
- Differences between the two libraries
- How to speed up your data pipeline with Polars
- Feature gaps that you might miss coming from Pandas
Whether you're a beginner or an experienced, you'll benefit from this introduction to Polars. You will be able to follow along in a notebook and explore the features of Polars.
Previous knowledge expected
Matt Harrison trains the largest companies in the world to leverage Python and apply data science. When he is not providing corporate training, he can be found writing books or out in the mountains. He is the author of the best-selling books Effective Pandas, Effective XGBoost, and more.