The purpose of function currying is to easily get specialized functions from more general functions. You achieve this by pre-setting some parameters at a different time and keeping them fixed afterwards.
It has nothing to do with the naming. In Python you can rename a variable/function easily at all times.
Example:
def simple_function(a):
def line(b=0):
def compute(x):
return [a+b * xi for xi in x]
return compute
return line
x = range(-4, 4, 1)
print('x {}'.format(list(x)))
print('constant {}'.format(simple_function(3)()(x)))
print('line {}'.format(simple_function(3)(-2)(x)))
gives
x [-4, -3, -2, -1, 0, 1, 2, 3]
constant [3, 3, 3, 3, 3, 3, 3, 3]
line [11, 9, 7, 5, 3, 1, -1, -3]
Now this was not yet that exciting. It only replaced functions calls of type f(a,b,c)
with calls of type f(a)(b)(c)
which might even be seen as the less elegant style in Python.
But it allows you to do:
line_through_zero = simple_function(0)
print('line through zero {}'.format(line_through_zero(1)(x))) # only slope and x
which gives
line through zero [-4, -3, -2, -1, 0, 1, 2, 3]
So the advantage of currying is that you get specialized functions that have fixed parameters and can be used instead of writing the more general form and setting the parameters fixed at each single call.
Alternatives to currying are: partial
, lambda
and default parameters
. So in practice currying might be useful but you can also get around it if you want.
See also Currying in Python