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I think it's often a syntax convenience. For example, Polars and Pandas both have DataFrame.pipe(...) methods, that create the same effect. But it's a bit cumbersome to write.

Here's a comparison:

* Method chaining: `df.pipe(f1, a=1, b=2).pipe(f2, c=1)`

* Pipe syntax: `df |> f1(a=1, b=2) |> f2(c=1)`