Ultra fast JSON encoder and decoder for Python
UltraJSON is an ultra fast JSON encoder and decoder written in pure C with bindings for Python 3.6+
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Core functionality for Pydantic validation and serialization
A robust email address syntax and deliverability validation library.
Reusable constraint types to use with typing.Annotated
PEP-593 added typing.Annotated as a way of adding context-specific metadata to existing types, and specifies that Annotated[T, x] should be treated as T by any tool or library without special logic for x. This package provides metadata objects which can be used to represent common constraints such as upper and lower bounds on scalar values and collection sizes, a Predicate marker for runtime checks, and descriptions of how we intend these metadata to be interpreted. In some cases, we also note alternative representations which do not require this package.
Data validation using Python type hinting
Data validation and settings management using python type hinting.
Interpreter of the Python3 programming language
Python combines remarkable power with very clear syntax. It has modules, classes, exceptions, very high level dynamic data types, and dynamic typing. There are interfaces to many system calls and libraries, as well as to various windowing systems. New built-in modules are easily written in C or C++ (or other languages, depending on the chosen implementation). Python is also usable as an extension language for applications written in other languages that need easy-to-use scripting or automation interfaces. This package Provides python version 3.
Backported and Experimental Type Hints for Python 3.5+
Typing Extensions -Backported and Experimental Type Hints for Python.