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the python collections module provides specialized data structures that are alternatives to the built-in data structures like lists, dictionaries, and tuples. these specialized data structures offer additional functionalities over the built-in ones, making them quite useful in various scenarios. in this tutorial, we'll explore some of the important data structures provided by the collections module along with code examples.
the counter class is used to count the occurrences of elements in a sequence or an iterable.
the defaultdict class is a dictionary subclass that provides a default value for the keys that haven't been explicitly set.
ordereddict is a dictionary subclass that remembers the order in which its contents are added.
deque is a double-ended queue implementation that supports adding and removing elements from both ends efficiently.
namedtuple creates tuple-like objects with named fields for accessing elements by name instead of index.
these are just a few examples of the data structures provided by the collections module in python. they offer efficient solutions for various programming problems and can greatly simplify your code. experiment with them to see how they can enhance your python programming experience.
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