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Comment by RocketSyntax | Hacker News Reader

I'd greatly appreciate pipes in the next version of Python. Pandas is huge now, and the R programming language has implemented this for its dataframes. There are Python packages for this, but they were buggy for me.

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What would that mean? Just an extra syntax for passing like, the output of one iterator to a function that accepts an iterable as input? Like, syntactic sugar for:

foo = qux(bar(foo(x)))

my_df %>% plot(col1,col2,col3)

see 18.2.1 and 18.2.4 in https://r4ds.had.co.nz/pipes.html

much sugar

too much sugar can make your code diabetic.

pipes are cool until they aren't

The %>% notation might not be very short, but there are other short ways of avoiding parenthesis mess as in foo = qux(bar(foo(x))). For instance, Mathematica/Wolfram language allows you to write something basically

     foo = qux @ bar @ foo(x)

which resembles the function composition operator in mathematics (https://en.wikipedia.org/wiki/Function_composition). Piping is basically the reverse notation, i.e. foo = foo(x) | bar | qux.

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