In Python DevOps, how do I optimize performance?

Python, DevOps, performance optimization, code efficiency, system monitoring
Learn how to optimize performance in Python DevOps environments by utilizing efficient coding practices, monitoring tools, and automation techniques.
# Example of optimizing a Python function for performance def process_data(data): # Using list comprehension for better performance return [item * 2 for item in data if item > 0] # Utilizing caching to avoid repeated computations from functools import lru_cache @lru_cache(maxsize=1000) def fibonacci(n): if n < 2: return n return fibonacci(n-1) + fibonacci(n-2)

Python DevOps performance optimization code efficiency system monitoring

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