by Sebastian Folz, Maren Westermann (Machine Learning Engineers @ DB Systel GmbH)
The largest german railway company achieves nearly 20x speedup in data processing and identifies significant potential for cost savings on cloud resources.
Thu, 17 Oct 2024by Liam Brannigan (Data Team Lead) @ Joulen
Joulen builds a highly scalable and cost-effective infrastructure with Polars to power tools to optimize the use of renewable assets.
Wed, 25 Sept 2024by Ritchie Vink, Robin van den Brink, Lawrence Mitchell
Polars and NVIDIA RAPIDS have worked together to bring GPU acceleration to Polars.
Tue, 17 Sept 2024by Danny Correia (Software Engineering Manager) @ Vydia
Vydia uses Polars' Ruby interface to ingest and process a fast growing number of CSVs files on their Ruby based platform that empowers music labels.
Fri, 13 Sept 2024by Marco Gorelli (Polars core developer)
With Polars 1.6 a new lightweight plotting engine was introduced to create plots without additional dependencies.
Wed, 4 Sept 2024by Ivano Malavolta and Karolina Bargieł
A research team of the VU Amsterdam published a paper benchmarking the energy usage and performance of pandas and Polars data analysis Python libraries.
Thu, 22 Aug 2024