Getting Started with Polars

Explore the powerful Polars data manipulation library in this comprehensive 2-hour and 14-minute tutorial from PyCon US. Dive into a real-world dataset to learn common operations, understand key differences from Pandas, and discover techniques to optimize your data pipeline. Gain hands-on experience through provided notebooks and labs, covering topics such as data loading, DataFrame exploration, memory optimization, expressions, column manipulation, and troubleshooting. Understand Polars' unique features, potential feature gaps compared to Pandas, and learn best practices for efficient data analysis. Perfect for data scientists and analysts looking to expand their toolkit and enhance their data processing capabilities.

Introduction
Matts Background
Loading Data
Exploring Data Frame
Exploring Data Types
Lowering Memory Requirements
Expressions
Columns
Vertical Stacking
Transposing
Integers
Polar Share
Polar Documentation
Avoid Drop
Renaming columns
PLAll
Task
Troubleshooting