There are many functions both in Base and across the data ecosystem that take a function argument and a data argument. Why add a special currying method to all of them, when this can be solved once and in a clean way using one of the “piping” packages?
I would recommend (my) DataPipes.jl (discourse thread) that has the main goal to make general data processing as convenient as possible. To my knowledge, DataPipes pipes have the least amount of code overhead compared to alternative packages. A basic example: @p rand(10) |> filter(<=(0.5)) |> map(_ + 1).
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