Polars in Aggregate: Improved I/O, Hugging Face support, and more
This edition covers improved support for Hive partitioning, right joins, Hugging Face integration and much more.
This edition covers improved support for Hive partitioning, right joins, Hugging Face integration and much more.
We have released Python Polars 1.0. We are very excited to reach this milestone.
MDPI, a pioneer in open access scientific publishing, uses Polars to process hundreds of GBs of textual data on their on-premise infrastructure on a daily basis.
This Polars in Aggregate shares more insights in some selected changes released in the versions Polars 0.20.17 to Polars 0.20.31.
G-Research is a leading quantitative finance research firm that uses Polars in different projects throughout the organization.
A fresh run of the TPC-H benchmark suite shows the performance of Polars versus other query processing engines.