This PEP proposes a Python-level API for the buffer protocol, which is currently accessible only to C code. This allows type checkers to evaluate whether objects implement the protocol.| Python Enhancement Proposals (PEPs)
Source code: Lib/types.py This module defines utility functions to assist in dynamic creation of new types. It also defines names for some object types that are used by the standard Python interpre...| Python documentation
Source code: Lib/inspect.py The inspect module provides several useful functions to help get information about live objects such as modules, classes, methods, functions, tracebacks, frame objects, ...| Python documentation
The growth of Internet and general connectivity has triggered the proportionate need for responsive and scalable code. This proposal aims to answer that need by making writing explicitly asynchronous, concurrent Python code easier and more Pythonic.| Python Enhancement Proposals (PEPs)
This PEP proposes some enhancements to the API and syntax of generators, to make them usable as simple coroutines. It is basically a combination of ideas from these two PEPs, which may be considered redundant if this PEP is accepted:| Python Enhancement Proposals (PEPs)
PEP 492 introduced support for native coroutines and async/await syntax to Python 3.5. It is proposed here to extend Python’s asynchronous capabilities by adding support for asynchronous generators.| Python Enhancement Proposals (PEPs)
Certain objects available in Python wrap access to an underlying memory array or buffer. Such objects include the built-in bytes and bytearray, and some extension types like array.array. Third-part...| Python documentation
Source code: Lib/typing.py This module provides runtime support for type hints. Consider the function below: The function surface_area_of_cube takes an argument expected to be an instance of float,...| Python documentation
This chapter explains the meaning of the elements of expressions in Python. Syntax Notes: In this and the following chapters, extended BNF notation will be used to describe syntax, not lexical anal...| Python documentation
Objects, values and types: Objects are Python’s abstraction for data. All data in a Python program is represented by objects or by relations between objects. (In a sense, and in conformance to Von ...| Python documentation