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🏹 Bow is a cross-platform library for Typed Functional Programming in Swift
The main features of bow-swift/bow are: Development Tools, Functional Programming, General Utilities, Language Extensions.
Projects with overlapping indexed features include: python-attrs/attrs — attrs is a Python library that automatically generates initialization, representation, equality, hashing, and ordering… more-itertools/more-itertools — more-itertools is an extension library for the Python itertools module. It serves as a toolkit for manipulating… dry-python/returns — Returns is a functional programming library for Python that provides type-safe containers for managing state, error… ehmicky/wild-wild-path — 🤠 Object property paths with wildcards and regexps 🌵. hyperoslo/sugar — :coffee: Something sweet that goes great with your Cocoa. sindresorhus/mem — Memoize functions - an optimization technique used to speed up consecutive function calls by caching the result of…
🤠 Object property paths with wildcards and regexps 🌵
:coffee: Something sweet that goes great with your Cocoa
Returns 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
more-itertools is an extension library for the Python itertools module. It serves as a toolkit for manipulating iterables, providing a wide range of routines for data transformation, combinatorial generation, and iterator state management. The library distinguishes itself through advanced state management and complex sequence generation. It provides capabilities for peeking at future elements, seeking within sequences, and producing unique permutations, combinations, and set partitions from collections that may contain duplicate elements. Its broader capability surface covers data processing