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 cumbe

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)`