4 repositorios
Libraries providing functional programming primitives and collection manipulation tools specifically for Python.
Distinct from Functional Utility Libraries: Distinct from Functional Utility Libraries: specifically targets Python, providing iterable transformations, function composition, and lazy evaluation for that language.
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Toolz is a Python library that implements functional programming utilities for iterable transformation, dictionary manipulation, function composition, and lazy evaluation. It provides a set of pure functions designed to work with Python's built-in data structures, enabling concise and composable data processing workflows. What distinguishes toolz is its support for curried partial application, allowing functions to be incrementally applied and reused. It includes dictionary-centric operations that handle nested structures, and offers iterable chain transformers that combine mapping, filtering
A Python library providing functional tools including iterable transformations, function composition, and lazy evaluation.
Coconut is a functional programming language that compiles to Python. It functions as a source-to-source compiler, translating high-level functional syntax into compatible Python code to maintain runtime compatibility. The language introduces a logic system for pattern matching and destructuring complex data structures. It provides a mechanism for tail call optimization to prevent stack overflow errors during deep recursive function calls and employs a lazy evaluation engine to defer computations until results are explicitly required. The project includes support for algebraic data types, pi
Brings functional programming primitives like piping and partial application to the Python environment.
Returns es una biblioteca de programación funcional para Python que proporciona contenedores con tipos seguros para gestionar el estado, el manejo de errores y la opcionalidad. Sirve como una biblioteca de contenedores monádicos y un framework de manejo de errores con tipos seguros, reemplazando los bloques try-catch tradicionales y las comprobaciones de nulos con contenedores Result y Optional para tratar las excepciones como datos. El proyecto se distingue por su uso de un plugin de análisis estático Mypy especializado para validar pipelines funcionales y emular tipos de orden superior. Proporciona mecanismos para aislar efectos secundarios a través de contenedores IO y ofrece un framework para la inyección de dependencias con tipos seguros que difiere la provisión de dependencias hasta la ejecución final de un cálculo. La biblioteca cubre una amplia gama de primitivas funcionales, incluyendo currificación, aplicación parcial y la composición de pipelines de datos declarativos. Admite la gestión de flujos de trabajo asíncronos envolviendo corrutinas en contenedores para encadenar operaciones no bloqueantes e incluye utilidades para la gestión del ciclo de vida de recursos y verificación de leyes algebraicas para contenedores personalizados.
Provides a comprehensive toolkit of functional programming primitives and type-safe containers specifically for Python.
more-itertools is a Python iterable utility library providing advanced functions for manipulating, filtering, and transforming data sequences. It serves as a data stream processing toolkit and a set of utilities for iterator state management, extending the capabilities of the standard Python itertools module. The library includes a combinatorial math toolkit for generating permutations, combinations, and powersets, alongside routines for number theory calculations and matrix operations. It also provides tools for stream state management, allowing users to peek at upcoming elements or seek wit
Provides an advanced collection of functional primitives and iterable transformation tools that extend the standard Python itertools module.