Discover why Polars is rapidly becoming the go-to alternative to Pandas for high-performance data analysis. This masterclass offers a practical, hands-on walkthrough of how Polars achieves dramatic speed gains, scales more efficiently, and simplifies many common data-manipulation tasks.
Content
-
Understand core architectural differences: Learn how Polars’ Rust engine and lazy evaluation model provide major performance advantages over Pandas.
• Write faster, cleaner code: Compare common data-wrangling operations in Pandas and Polars, and learn patterns that improve clarity and scalability.
• Work with larger datasets: Explore how Polars handles memory efficiently and supports parallel processing without manual optimisation.
• Decide when to switch: Identify practical scenarios where Polars significantly accelerates workflows — and when Pandas remains the better choice.
Target Audience
This masterclass is designed for data analysts, quants, and developers who already use Pandas and want to understand whether Polars can improve their performance and productivity. No prior Polars experience is required — all examples are demonstrated live using simple, real-world datasets.
