Scientific computing in Python is typically fragmented across multiple specialized libraries such as NumPy, SciPy, SymPy, scikit-learn, and domain-specific toolkits for cryptography, optimization, and ...
It contains a production grade implementation including DEPLOYMENT code with CDK and a CI/CD pipeline, testing, observability and more (see Features section). Choose the architecture that you see fit, ...
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