List comprehensions are a powerful and concise way to create lists in Python. However, they can also be used to create sets, making them an excellent tool for working with unique elements efficiently.
In this article, we’ll explore how to use list comprehensions to create sets and perform various set operations, all while keeping your code clean and readable.
Creating Sets with List Comprehensions
Creating a set with a list comprehension is as simple as wrapping the list comprehension in curly braces instead of square brackets. Here’s an example:
# Creating a set of squares
squares = {x**2 for x in range(10)}
print(squares) # Output: {0, 1, 64, 4, 36, 9, 16, 49, 25, 81}In this example, we create a set called squares that contains the squares of the numbers from 0 to 9.
Set Operations with List Comprehensions
List comprehensions can also be used to perform various set operations, such as union, intersection, and difference.
