Python :: Using Python Collections

Python collections are container data types, namely lists, sets, tuples, dictionary. The collections module provides high-performance datatypes that can enhance your code, making things much cleaner and easier. There are a lot of functions provided by the collections module. For this demonstration, I will be using Counter() function.

The Counter() function takes an iterable, such as a list or tuple, and returns a Counter Dictionary. The dictionary’s keys will be the unique elements present in the iterable, and the values for each key will be the count of the elements present in the iterable.

To create a counter object, pass an iterable (list) to Counter() function as shown in the code below.

from collections import Countercount = Counter(['a','b','c','d','b','c','d','b'])
print(count) # Counter({'b': 3, 'c': 2, 'd': 2, 'a': 1})

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