PYTHON

Handle Unique Elements and Set Operations with Python Sets

Utilize Python sets for lightning-fast membership testing, eliminating duplicate elements, and performing efficient set operations like union or intersection.

# Example 1: Finding unique user IDs from a list of logs
request_user_ids = [101, 203, 101, 405, 203, 506, 101]
unique_users = set(request_user_ids)
print(f"Unique users: {unique_users}") # Output: {101, 203, 405, 506}

# Example 2: Fast membership testing (e.g., checking if a user is online)
online_users = {101, 304, 506, 708}
user_id_to_check = 203
if user_id_to_check in online_users:
    print(f"User {user_id_to_check} is online.")
else:
    print(f"User {user_id_to_check} is offline.") # Output: User 203 is offline.

# Example 3: Finding users who viewed product A but not product B (set difference)
viewed_product_a = {101, 203, 405, 809}
viewed_product_b = {101, 506, 809, 910}
viewed_a_only = viewed_product_a - viewed_product_b
print(f"Users who viewed A but not B: {viewed_a_only}") # Output: {203, 405}

# Example 4: Finding users who viewed both products (set intersection)
viewed_both = viewed_product_a.intersection(viewed_product_b)
print(f"Users who viewed both A and B: {viewed_both}") # Output: {101, 809}
How it works: Python `set` is an unordered collection of unique hashable objects. It is highly optimized for checking membership (`in` operator), removing duplicates from lists, and performing mathematical set operations such as union, intersection, difference, and symmetric difference. These operations are significantly faster than iterating through lists, making sets ideal for tasks like filtering unique IDs, checking permissions, or comparing user groups in web applications.

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