Operator module In Python comes handy in many cases and it comprises upon specific code lines. Learn more about this module here.

## Operator module: Itemgetter

Grouping the key-value pairs of a dictionary by the value with itemgetter:

from itertools import groupby

from operator import itemgetter

adict = {'a': 1, 'b': 5, 'c': 1}

dict((i, dict(v)) for i, v in groupby(adict.items(), itemgetter(1)))

#### Output: {1: {‘a’: 1, ‘c’: 1}, 5: {‘b’: 5}}

which is equivalent (but faster) to a lambda function like this:

dict((i, dict(v)) for i, v in groupby(adict.items(), lambda x: x[1]))

Or sorting a list of tuples by the second element first the first element as secondary:

alist_of_tuples = [(5,2), (1,3), (2,2)]

sorted(alist_of_tuples, key=itemgetter(1,0))

##### Output: [(2, 2), (5, 2), (1, 3)]

## Operator module: Operators as alternative to an infix operator

For every infix operator, e.g. + there is an operator-function (operator.add for +):

1 + 1

##### Output: 2

from operator import add

add(1, 1)

#### Output: 2

even though the main documentation states that for the arithmetic operators only numerical input is allowed it is possible:

from operator import mul

mul('a', 10)

Output: 'aaaaaaaaaa' mul([3], 3)

Output: [3, 3, 3]

See also: mapping from operation to operator function in the oﬃcial Python documentation.

## Methodcaller

Instead of this lambda-function that calls the method explicitly:

alist = ['wolf', 'sheep', 'duck']

list(filter(lambda x: x.startswith('d'), alist)) # Keep only elements that start with 'd'

#### Output: [‘duck’]

one could use a operator-function that does the same:

from operator import methodcaller

list(filter(methodcaller('startswith', 'd'), alist)) # Does the same but is faster.

#### Output: [‘duck’]

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