Thijs Nieuwdorp
Thijs Nieuwdorp is a data scientist at Xomnia and co-author of Python Polars: The Definitive Guide. With a background in Artificial Intelligence from Radboud University, he specializes in innovation, Responsible AI, MLOps, and clean code. At Alliander, Thijs leveraged Polars to optimize simulations of the Dutch power grid, reducing execution time and memory usage by a factor of four and saving massively in costs—contributing to a more reliable power supply.
Sessions
Learn how Plotnine, a Python package inspired by R's ggplot2, enables the creation of sophisticated and effective data visualizations with minimal effort. This tutorial will explain how Plotnine's grammar of graphics approach provides a flexible, intuitive way to visualize data, either as ad-hoc plots or fine-tuned graphs suited for communication.
In this talk, we'll share our experience of converting a substantial data processing codebase from Pandas to Polars. We’ll discuss the motivations behind the switch, the challenges faced during the transition, and the significant performance gains we observed. Attendees will gain insights into when and why Polars can be a superior choice for data processing tasks, especially in performance-critical applications.