PYTHON
Performing Set Operations for Data Comparison
Utilize Python's built-in sets for efficient union, intersection, and difference operations between two collections, useful for managing unique data points.
user_roles_team_a = {"admin", "editor", "viewer", "developer"}
user_roles_team_b = {"editor", "analyst", "viewer", "qa"}
# All unique roles across both teams (Union)
all_unique_roles = user_roles_team_a.union(user_roles_team_b)
# Common roles to both teams (Intersection)
common_roles = user_roles_team_a.intersection(user_roles_team_b)
# Roles in Team A but not in Team B (Difference)
roles_in_a_only = user_roles_team_a.difference(user_roles_team_b)
# Roles unique to either team (Symmetric Difference)
roles_unique_to_either = user_roles_team_a.symmetric_difference(user_roles_team_b)
# print(f"All unique roles: {all_unique_roles}")
# print(f"Common roles: {common_roles}")
# print(f"Roles in A only: {roles_in_a_only}")
# print(f"Roles unique to either: {roles_unique_to_either}")
How it works: Python sets are unordered collections of unique elements, optimized for fast membership testing and mathematical set operations. This snippet demonstrates how to find unions (all unique elements), intersections (common elements), differences (elements in one set but not another), and symmetric differences (elements unique to either set), which are powerful for comparing and combining distinct data collections like user permissions or feature flags.