Designed for Python users familiar with pandas, this session will bridge the gap between what you know and what’s possible with Polars’ power-packed features.
We’ll begin by understanding the fundamentals of Polars: its lazy execution engine, multi-threading capabilities, and how it leverages Apache Arrow for performance. You’ll learn how to convert existing pandas workflows to Polars and write concise, blazing-fast queries that process large datasets effortlessly. From there, we’ll dive into real-world examples and unlock advanced features, including expressions, group-by operations, and streaming data pipelines.