Without functions: by repeatedly writing the code to draw a triangle with. With a Python function call: by generating lots of coordinates and feeding them to your “draw triangle” function.

Functions that rely on something outside the function itself (e.g., a network call, or a read from disk) are harder to memoize, though it can still be done.

In Python, the mere act of making a function call incurs a relatively large amount of overhead. If some function is called repeatedly in a tight loop, even if it isn’t a long-running function ...

From there, you can easily edit your Python code and quickly test your AWS Lambda functions all within the AWS Management Console. Serverless computing with Python in AWS really couldn’t be easier.