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  • Polars — DataFrames for the new era
    Polars is written from the ground up with performance in mind Its multi-threaded query engine is written in Rust and designed for effective parallelism Its vectorized and columnar processing enables cache-coherent algorithms and high performance on modern processors
  • Index - Polars user guide
    Polars is a blazingly fast DataFrame library for manipulating structured data The core is written in Rust, and available for Python, R and NodeJS Key features Fast: Written from scratch in Rust, designed close to the machine and without external dependencies
  • Installation - Polars user guide
    Polars is a library and installation is as simple as invoking the package manager of the corresponding programming language Python Rust pip install polars # Or for legacy CPUs without AVX2 support pip install polars-lts-cpu
  • Polars — GPU acceleration with Polars and NVIDIA RAPIDS
    With GPU-accelerated Polars, users can expect a performance boost up to 13x compared to Polars on CPU on compute-bound queries This allows users to maintain the same interactive experience as their data processing workloads grow to hundreds of millions of rows
  • Polars — Announcing Polars 1. 0
    This is a novel design that combines morsel-driven parallelism with Rust’s async state machines This combination leads to a hybrid push pull based engine that benefits from the cache locality, parallelism and NUMA-awareness of morsel-driven parallelism with flexible operator designs that compile down to state machines where the complexity is
  • Joins - Polars user guide - GitHub Pages
    Polars supports several joining strategies for equi joins, which determine exactly how we handle the matching of rows Polars also supports “non-equi joins”, a type of join where the matching criterion is not an equality, and a type of join where rows are matched by key proximity, called “asof join”
  • Polars — Polars Cloud; the distributed Cloud Architecture to run Polars . . .
    Cluster side, we have built a distributed scheduler-worker architecture in Rust that can analyze these queries, runs an adapted Polars optimizer and, depending on the query, comes up with a physical plan that scales horizontally or vertically
  • Reference guide - Polars user guide
    Polars user guide pola-rs polars Polars Polars User guide User guide Getting started Installation Concepts Concepts Data types and structures Rust The Rust API reference is built using Cargo It's available on docs rs Previous GPU Support [Open Beta] Next


















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