2023-08-17 –, Aula
Polars is the "relatively" new fast dataframe implementation that redefines what DataFrames are able to do on a single machine, both in regard to performance and dataset size.
In this talk, we will dive into polars and see what makes them so efficient. It will touch on technologies like Arrow, Rust, parallelism, data structures, query optimization and more.
Polars is the "relatively" new fast dataframe implementation that redefines what DataFrames are able to do on a single machine, both in regard to performance and dataset size.
In this talk, we will dive into polars and see what makes them so efficient. It will touch on technologies like Arrow, Rust, parallelism, data structures, query optimization and more.
Come to this keynote to learn more about the DataFrame world.
Keynote on the Polars DataFrame library and query engine
Category [High Performance Computing]: Parallel Computing Category [Community, Education, and Outreach]: Learning and Teaching Scientific Python Category [Machine and Deep Learning]: Supervised Learning Category [Scientific Applications]: Astronomy Category [Data Science and Visualization]: Data Analysis and Data Engineering Expected audience expertise: Domain: none Expected audience expertise: Python: some
Ritchie Vink is the author of the Polars DataFrame library and query engine.
He has been working as a software engineer and machine learning engineer for 8 years.
Before he started polars, he did many side projects on varying topics in computer science and statistics.