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This study uses polars [0][1] -- a new Data Science library written in Rust (core) with bindings to Python and Javascript. Perfect replacement for pandas. Polar
by lr1970 4y ago
This study uses polars [0][1] -- a new Data Science library written in Rust (core) with bindings to Python and Javascript. Perfect replacement for pandas. Polars' claims to fame are speed (faster than pretty much anything out there [2][3]), low memory pressure (very visible when comparing to pandas) and consistent API across Rust, Python, JS.
[0] https://www.pola.rs/ https://www.pola.rs/
[1] https://github.com/pola-rs/polars https://github.com/pola-rs/polars
[2] https://h2oai.github.io/db-benchmark/ https://h2oai.github.io/db-benchmark/
[3] https://www.pola.rs/benchmarks.html https://www.pola.rs/benchmarks.html
- this_is_not_you 4y agoThanks! I had not heard of it before. As a Python pandas user I have to say this look really promising. The speed claims are obviously great but what really stood out to me is the syntax. Reminds of the the dplyr syntax which I enjoyed a lot when I was still using R.