This is not a new idea. siuba (a dplyr-like Pandas alternative) is one project that does it, and it also has a "pipeline operator": https://github.com/machow/siuba

(mtcars >> group_by(_.cyl) >> summarize(avg_hp = _.hp.mean()) )

(Edit: ok, it seems siuba doesn't have the "parameter fixing" thing.)

Related: Coconut - a functional superset of Python - https://github.com/evhub/coconut

range(10) |> map$(pow$(?, 2)) |> list

There were others but I can't remember which now.