From d237fe353184507a3c121717b6c741f2edce98ca Mon Sep 17 00:00:00 2001 From: Deepak Cherian Date: Wed, 31 Jul 2024 14:50:16 -0600 Subject: [PATCH] [skip-ci] Update docs --- docs/source/index.md | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/docs/source/index.md b/docs/source/index.md index 353dddfbe..f169ba3c4 100644 --- a/docs/source/index.md +++ b/docs/source/index.md @@ -1,4 +1,4 @@ -# flox: fast & furious GroupBy reductions for `dask.array` +# flox: fast & furious GroupBy reductions for dask, cubed, & Xarray! [![GitHub Workflow CI Status](https://img.shields.io/github/actions/workflow/status/xarray-contrib/flox/ci.yaml?branch=main&logo=github&style=flat)](https://github.com/xarray-contrib/flox/actions) [![pre-commit.ci status](https://results.pre-commit.ci/badge/github/xarray-contrib/flox/main.svg)](https://results.pre-commit.ci/latest/github/xarray-contrib/flox/main) @@ -13,8 +13,8 @@ ## Overview -`flox` mainly provides strategies for fast GroupBy reductions with dask.array. `flox` uses the MapReduce paradigm (or a "tree reduction") -to run the GroupBy operation in a parallel-native way totally avoiding a sort or shuffle operation. It was motivated by +`flox` mainly provides strategies for fast GroupBy reductions and scans with chunked arrays like [dask](<>) and [cubed](<>). +For reductions, `flox` uses a "tree reduction" to run the GroupBy operation in a parallel-native way totally avoiding a sort or shuffle operation. It was motivated by 1. Dask Dataframe GroupBy [blogpost](https://blog.dask.org/2019/10/08/df-groupby)