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$❓ Question Can a single Python decorator add authentication, logging, caching, and rate limiting to any function? ✅ Answer Yes. A single Python decorator can wrap any function and apply multiple behaviors before and after its execution. This technique is widely used in web frameworks and enterprise applications to separate cross-cutting concerns from business logic. A single decorator can: ✅ Authenticate the user before execution. ✅ Log every function call. ✅ Return cached results for repeated requests. ✅ Enforce rate limits to prevent abuse. ✅ Execute the original function only if all checks pass. This demonstrates Python's powerful decorator system and its ability to implement multiple features with clean, reusable code. 💻 Code import time import logging from functools import wraps # Configure logging logging.basicConfig(level=logging.INFO) # Simple in-memory cache cache = {} # Rate limit storage request_count = {} RATE_LIMIT = 3 # Maximum requests TIME_WINDOW = 10 # Seconds def security_decorator(func): @wraps(func) def wrapper(user, *args, **kwargs): # Follow N code arena challenge for more interesting question And share this video with frinds$

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