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Minor edits to README.md (#220)
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* Minor edits to README.md

* Update README.md

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Co-authored-by: Marco Edward Gorelli <[email protected]>
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InessaPawson and MarcoGorelli authored May 28, 2024
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Expand Up @@ -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!
Expand All @@ -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.
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