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I have a deployed lambda with your usual stack ( numpy sklearn scipy)

Did you manage to do that without pulling them from S3 (i.e., get them to fit in the 250MB limit)?

I'm using serverless-python-requirements (see the specific example https://github.com/UnitedIncome/serverless-python-requiremen...) - it uploads the libs zipped and unzips them on first invocation in the handler.