diff --git a/README.md b/README.md index 0172a847a..964d8d696 100644 --- a/README.md +++ b/README.md @@ -58,7 +58,7 @@ There are three steps to writing dataframe-agnostic code using Narwhals: Like Ibis, Narwhals aims to enable dataframe-agnostic code. However, Narwhals comes with **zero** dependencies, is about as lightweight as it gets, and is aimed at library developers rather than at end users. It also does -not aim to support as many backends, preferring to instead focus on dataframes. So, which should you use? +not aim to support as many backends, instead preferring to focus on dataframes. So, which should you use? - If you need to run complicated analyses and aren't too bothered about package size: Ibis! - If you're a library maintainer and want the thinnest-possible layer to get cross-dataframe library support: Narwhals! @@ -75,9 +75,9 @@ See the [tutorial](https://narwhals-dev.github.io/narwhals/basics/dataframe/) fo ## Scope - Do you maintain a dataframe-consuming library? -- Is there a Polars function which you'd like Narwhals to have, which would make your work easier? +- Do you have a specific Polars function in mind that you would like Narwhals to have in order to make your work easier? -If, I'd love to hear from you! +If you said yes to both, we'd love to hear from you! **Note**: You might suspect that this is a secret ploy to infiltrate the Polars API everywhere. Indeed, you may suspect that.