🏠 Home
Prestatietests
📊 Alle benchmarks 🦖 Dinosaur v1 🦖 Dinosaur v2 ✅ To-Do List applicaties 🎨 Creatieve vrije pagina's 🎯 FSACB - Ultieme showcase 🌍 Vertaalbenchmark
Modellen
🏆 Top 10 modellen 🆓 Gratis modellen 📋 Alle modellen ⚙️ Kilo Code
Bronnen
💬 Promptbibliotheek 📖 AI-woordenlijst 🔗 Nuttige links
Medium

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)