www.pydata.org
Polars is an OLAP query engine that focusses on the DataFrame use case. Machines have changed a lot in the last decade and Polars is a query engine that is written from scratch in Rust to benefit from the modern hardware.
Effective parallelism, cache efficient data structures and algorithms are ingrained in its design. Thanks to those efforts Polars is among the fastest single node OSS query engines out there. Another goal of polars is rethinking the way DataFrame's should be interacted with. Polars comes with a very declarative and versatile API that enables users to write readable. This talk will focus on how Polars can be used and what you gain from using it idiomatically.
PyData is an educational program of NumFOCUS, a 501(c)3 non-profit organization in the United States. PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other. The global PyData network promotes discussion of best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualization. PyData communities approach data science using many languages, including (but not limited to) Python, Julia, and R.
PyData conferences aim to be accessible and community-driven, with novice to advanced level presentations. PyData tutorials and talks bring attendees the latest project features along with cutting-edge use cases.
00:00 Welcome!
00:10 Help us add time stamps or captions to this video! See the description for details.
Want to help add timestamps to our KZread videos to help with discoverability? Find out more here: github.com/numfocus/KZreadVi...