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The matrix multiplication operator @ is going to be introduced in Python 3.5 and I am thinking about the following idea:
The semantics of matrix multiplication is the composition of the corresponding linear transformations.
A linear transformation is a particular example of a more general concept - functions.
The latter are frequently composed with ("wrap") each other. For example:
plot(real(sqrt(data)))
However, it is not very readable in case of many wrapping layers. Therefore, it could be useful to employ
the matrix multiplication operator @ for indication of function composition. This could be done by such (simplified) decorator:
class composable:
 def __init__(self, func):
 self.func = func
 def __call__(self, arg):
 return self.func(arg)
 def __matmul__(self, other):
 def composition(*args, **kwargs):
 return self.func(other(*args, **kwargs))
 return composable(composition)
I think using such decorator with functions that are going to be deeply wrapped
could improve readability.
You could compare (note that only the outermost function should be decorated):
plot(sorted(sqrt(real(data_array)))) vs. (plot @ sorted @ sqrt @ real) (data_array)
I think the latter is more readable, also compare
def sunique(lst):
 return sorted(list(set(lst)))
vs.
sunique = sorted @ list @ set
Apart from readability, there are following pros of the proposed decorator:
1. Similar semantics as for matrix multiplication.
2. Same symbol for composition as for decorators.
3. The symbol @ resembles mathematical notation for function composition: ∘
I think it could be a good idea to add such a decorator to the stdlib functools module.

This should be taken to python-ideas (and probably pypi) first. You can reopen if there is agreement that this should be done. IMO it should not be done for 3.5 in any case.