Top 10 Python examples for Sets to learn quickly

In Python, a set is a built-in data type that stores an unordered collection of unique elements. Sets are similar to lists and tuples but differ in a few key aspects:

Unordered: The elements in a set have no order.
Unique: Sets do not allow duplicate elements.
Mutable: You can add or remove elements from a set after it’s created, but the elements themselves must be immutable (e.g., numbers, strings, tuples).

Sets are a powerful data structure in Python that allow you to store unique elements with fast membership testing and efficient operations. Here are 10 python examples for sets:

1. Creating a Set:

# Creating a set of unique elements
fruits = {'apple', 'banana', 'orange'}

2. Adding Elements to a Set:

# Adding elements to the set
fruits.add('grape')
fruits.add('apple')  # Won't add since it's already in the set

3. Removing Elements from a Set:

# Removing an element from the set
fruits.remove('banana')
# Using discard to remove element (won't raise an error if element doesn't exist)
fruits.discard('kiwi')

4. Set Operations: Union, Intersection, Difference:

set1 = {1, 2, 3}
set2 = {3, 4, 5}
union_set = set1.union(set2)
intersection_set = set1.intersection(set2)
difference_set = set1.difference(set2)  # Elements in set1 but not in set2

5. Checking Subset and Superset:

subset_check = set1.issubset(set2)
superset_check = set1.issuperset(set2)

6. Removing Duplicate Elements from a List:

num_list = [1, 2, 2, 3, 4, 4, 5]
unique_nums = set(num_list)  # Convert list to set to remove duplicates

7. Finding Common Elements in Multiple Sets:

set3 = {2, 4, 6}
common_elements = set1.intersection(set2, set3)

8. Removing Duplicates from a String:

sentence = "hello world hello"
unique_words = set(sentence.split())  # Split the sentence into words and convert to set

9. Checking Disjoint Sets:

disjoint_check = set1.isdisjoint(set3)  # Returns True if no common elements

10. Set Comprehensions:

squared_set = {x**2 for x in range(1, 6)}  # Creating a set of squared numbers

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