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A collection of articles on the usage / internal workings of Polars by the core team.

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Polars in Aggregate: Faster CSV writer, dead expression elimination, and more

Published: June 5, 2024 00:00

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 tackles the biggest financial data challenges of tomorrow with Polars

Published: April 18, 2024 00:00

G-Research is a leading quantitative finance research firm that uses Polars in different projects throughout the organization.

Updated TPC-H benchmark results

Published: April 16, 2024 00:00

A fresh run of the TPC-H benchmark suite shows the performance of Polars versus other query processing engines.

Accelerating Polars DataFrames

Published: April 4, 2024 00:00

Polars and NVIDIA are bringing GPU acceleration to Polars dataframes in the near future. With the collaboration Polars is able to fully utilize both the CPU and GPU, significantly speeding up certain workloads.

Polars in Aggregate: New integrations, enhanced NumPy interop, and improved performance

Published: March 28, 2024 00:00

This edition covers support for streaming outer joins, zero-copy NumPy interop, COUNT(*) fast path, very fast boolean filters and ternary operations, and more.

Check Technologies saves 25% of cloud expenses with Polars

Published: March 6, 2024 00:00

Check Technologies is a Dutch multi-modal mobility provider in the Netherlands. They have successfully migrated all data pipelines from pandas to Polars and saved 25% on their cloud bills.

Polars in Aggregate: New string type, plotting, SQL and more

Published: February 7, 2024 00:00

Since the last issue of Polars in Aggregate, we had four Python releases (0.20.3 to 0.20.6) and a two Rust releases (0.36.2 and 0.37.0). These releases contained many performance improvements, bug fixes, breaking changes and new features.