What are the best practices for using Lambda functions in Python 3?
Some best practices include keeping functions small, using environment variables, and managing dependencies efficiently.
Can you explain why keeping functions small is important?
Keeping functions small enhances readability, maintainability, and allows for easier debugging and testing.
What about managing dependencies? How should I do that?
Use a requirements.txt file to manage dependencies and consider using Lambda layers for shared libraries.
Are there any performance tips for Lambda functions?
Yes, optimize your code, minimize package size, and use provisioned concurrency for better performance.
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