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A comment on More intuitive partial function application in Python.

Re:More intuitive partial function application in Python by throwamon on Monday February 21, 2022 @07:14AM (#30414968)
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.

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Re:More intuitive partial function application in Python by cgrimm1994 on Monday February 21, 2022 @09:21AM (#30416154)
Sure, I'm not claiming to have originated the idea of using _ or some other placeholder to return partially applied functions. Lots of languages have some kind of shorthand syntax for this. I just hadn't seen it done in Python before.

Coconut looks cool btw! I'll give it a closer look soon.

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Re:More intuitive partial function application in Python by throwamon on Monday February 21, 2022 @11:32AM (#30417653)
Sorry, I should have worded my comment differently, I didn't mean to sound accusatory or dismissive.
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Re:More intuitive partial function application in Python by cgrimm1994 on Monday February 21, 2022 @12:53PM (#30418586)
No worries!
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