Polars

Polars 1.2 is out 🚀 Since our stable release, we've significantly updated our I/O capabilities and ecosystem integration. Discover more in the latest edition of "Polars in Aggregate": https://lnkd.in/gMh7WiBh. #polars #dataframes #rust #data #python

We're on the lookout for a Rust Backend Engineer to join our team. As a founding player, you'll have the opportunity to shape the design of Polars Cloud and create a seamless experience for our users. https://lnkd.in/eSvPBQTN

We are happy to share that we released Python Polars 1.0! Read more in our announcement post: https://lnkd.in/eXpqRpCn. To help you upgrade, read our upgrade guide: https://lnkd.in/eiTDA2Wg If you want see all changes, here is the full changelog: https://lnkd.in/eCn8XcQM Finally, we want to thank everyone who helped, contributed, or used Polars!

MDPI uses Polars to process hundreds of gigabytes of textual data on a daily basis. Read our latest case study to learn about considerations and experiences in building an on-premises data warehouse with Polars. https://lnkd.in/eB7JDPmf #polars #python #data #dataframe

Watch Marco Gorelli's Pydata London talk about Polars plugins. A thorough guide on how to get started and bring your custom expressions powered by crates.io! https://lnkd.in/eP9FxMhq

Scikit-lego is now DataFrame agnostic with regard to Polars and pandas. If you provide a Polars DataFrame, your pipeline time can reduce drastically with zero conversion cost. All thanks to Narwhals; the DataFrame agnostic library for maintainers.

The first beta pre-release of Polars 1.0 is released! Install it with `pip install -U --pre polars ` and give it a spin. If you find any troubles in the coming week, we can fix them for 1.0. You can find the release notes here: https://lnkd.in/eUvQmzp9 The upgrade guide will follow later next week.

🏆 The 2nd most viewed Python 2023 conference talk is "Polars, make the switch to lightning-fast dataframes" 3️⃣ Three of the top 10 talks have "Polars" in their title 🤯 It's truly mind-boggling to see how much organic and community-driven attention the project is receiving 🎙 People who try it just...get excited about it and give talks. It's wonderful https://lnkd.in/eAJudK4J

A new release of Polars in Aggregate. In this edition, we cover selected changes and improvements from Polars 0.20.17 to the latest release, such as: - Benchmark of the updated CSV writer - Dead expression elimination - Ad-hoc SQL on DataFrame and LazyFrame - Support for export to PyTorch and JAX - Full plan CSE - A note on the redesign of the streaming engine More insights on these topics > https://lnkd.in/ech-NBtd #polars #data #dataframe #python

We're seeking a Full Stack Engineer to help us build our SaaS platform. Are you passionate about creating high quality full-stack code & designing API's, let us know! https://lnkd.in/ere6JdvB