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fix: "prefering" -> "preferring" typo in "narwhals-pycapsule.md" post (
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MarcoGorelli authored Jan 24, 2025
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Expand Up @@ -18,7 +18,7 @@ If you were writing a data science tool in 2015, you'd probably have
added pandas support and called it a day. However, it's not 2015, we've fast-forwarded to 2025,
and so if you do that today you'll be inundated with endless "can you support
Polars / DuckDB / PyArrow / DataFusion / ..." requests. Yet you have no interest in understanding
the subtle differences between them, prefering to focus on the problems which your library set
the subtle differences between them, preferring to focus on the problems which your library set
out to solve. What can you do?

Today, you'll learn about how to create tools which support all kinds of dataframes:
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