Advanced Python Data Structures: Sets, Dictionaries, Tuples, and more

Learn about advanced Python Data Structures and how to use them

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In this article, we will explore some of the advanced data structures in Python. Whether you’re a beginner or an experienced programmer, it’s always useful to know about different data structures and how to use them effectively. Python has a rich set of data structures that includes sets, dictionaries, tuples, and more. Let’s dive into each of them.

Sets

Sets are unordered collections of unique elements. They are defined using curly braces {} or the set() constructor. Sets are useful when you need to store a collection of items, but don’t care about the order and want to eliminate duplicates. Here’s an example of how to create a set:

>>> my_set = {1, 2, 3}
>>> print(my_set)
{1, 2, 3}

You can also create a set from a list or any other iterable object. The set() constructor takes an iterable as an argument and returns a set with unique elements:

>>> my_list = [1, 2, 3, 2, 1]
>>> my_set = set(my_list)
>>> print(my_set)
{1, 2, 3}

Sets have various operations, such as union, intersection, and difference, that can be performed using the corresponding methods or operators…