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Awesome GitHub RepositoriesIterable Container Processing
Executing declarative loops over collections of containers to accumulate results while preserving the functional context.
Distinct from Multi-Process Containers: Operates on functional containers (like Result or Optional), not on system processes or Docker containers.
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Awesome Iterable Container Processing GitHub Repositories
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- dry-python/returns
dry-python/returns
4,310Vezi pe GitHubReturns is a functional programming library for Python that provides type-safe containers for managing state, error handling, and optionality. It serves as a monadic container library and a type-safe error handling framework, replacing traditional try-catch blocks and null checks with Result and Optional containers to treat exceptions as data. The project is distinguished by its use of a specialized Mypy static analysis plugin to validate functional pipelines and emulate higher kinded types. It provides mechanisms for isolating side effects through IO containers and offers a framework for typ
Executes declarative loops over collections of containers to accumulate results while maintaining functional context.
Python
