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Refactor Inefficient Python Loop

#python #optimization #coding #performance

Optimize a slow Python loop by using better data structures or built-in libraries.

Review the following Python code snippet that processes a list of user dictionaries to find users over the age of 18. The current implementation uses a nested for-loop which is slow. Rewrite the code using list comprehensions or the 'filter' function to make it more Pythonic and efficient. Original code: results = []; for user in users: if user['age'] > 18: results.append(user)