In the realm of Python’s data structures, sets and frozensets quietly play a powerful role in handling collections of unique elements. If you’re ready to explore a versatile and efficient way to manage data without duplicates, you’re in for a treat.
In this article, we’ll dive into the world of sets and frozensets, unraveling their uniqueness, immutability, and practical applications in Python. Let’s embark on this journey of efficient data management.
Understanding Sets in Python
A set in Python is an unordered collection of unique elements. It is defined using curly braces {} or the set() constructor.
Creating Sets
# Creating sets
fruit_set = {"apple", "banana", "cherry"}
empty_set = set()
print("Fruit Set:", fruit_set)
print("Empty Set:", empty_set)In this example, we create a fruit_set containing different fruits and an empty set using both curly braces and the set() constructor.
