Apply

Some experiments with chaining of function calls, somewhat similar to JulienPalard/Pipe, but without need to rewrite each function to a Pipe class, and you can just use standard map and filter functions (and also I don't like using of SQL-like keywords in unnatural order, and select doesn't associates with mapping IMO).

from apply import apply, Partial

items = list(range(10))

print(
    items @ apply
    | filter @ Partial(lambda item: item % 2 == 0)
    | map @ Partial(lambda item: item // 2)
    > sum
)

# Output: 10

This construction:

items @ apply
| filter @ Partial(lambda item: item % 2 == 0)
| map @ Partial(lambda item: item // 2)
> sum

Is equivalent to

sum(map(lambda item: item // 2, filter(lambda item: item % 2 == 0, items)))

In short, apply (Applicator object) applies to the object at the left of @ operator all following functions divided with | operator (each apply | func returns new Applicator object which contains func(apply.value) value), and returns result of a function preceded with > operator (apply > func returns func(apply.value), not another Applicator).

Partial object just wraps a function to the left of the @ operator into partial:

filter @ Partial(lambda item: item % 2 == 0)
# equivalent to
partial(filter, lambda item: item % 2 == 0)

insolor/apply

Apply