🏠 Inicio
Pruebas de rendimiento
📊 Todos los benchmarks 🦖 Dinosaurio v1 🦖 Dinosaurio v2 ✅ Aplicaciones To-Do List 🎨 Páginas libres creativas 🎯 FSACB - Showcase definitivo 🌍 Benchmark de traducción
Modelos
🏆 Top 10 modelos 🆓 Modelos gratuitos 📋 Todos los modelos ⚙️ Kilo Code
Recursos
💬 Biblioteca de prompts 📖 Glosario de IA 🔗 Enlaces útiles
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)