[layer8]

Honestly, I find using intermediate variables more readable than a long chain of function invocations where you have to keep track of intermediate results in your head:

    input_groups = input_list.split(None)
    group_sums = map(sum, input_groups)
    max_sum = max(group_sums)

This also gives you a slightly higher-level view on how the algorithm proceeds just by reading the variable names on the LHS.

[matusp]

The problem with this approach for me is that I don't know which variables are important outside of this snippet or outside of the next line. Is input_groups something I should keep in my head or is it just an intermediate result that can be discarded from my attention right away? The pipe-like solutions are nice because they are self-contained and you know that you only care about the final result and can abstract away the implementation.

I prefer python comprehensions for the same reason. I can tell that they are about crating a list or a dict and I don't need to parse a bunch of operations in a loop to come to the same conclusion.