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Abstract This PEP introduces a syntax for adding arbitrary metadata annotations to Python functions [1]. Rationale Because Python's 2.x series lacks a standard way of annotating a function's parameters and return values, a variety of tools and libraries have appeared to fill this gap. Some utilise the decorators introduced in "PEP 318", while others parse a function's docstring, looking for annota
David Goodger <goodger at python.org>, Barry Warsaw <barry at python.org> Introduction This PEP contains the index of all Python Enhancement Proposals, known as PEPs. PEP numbers are assigned by the PEP editors, and once assigned are never changed[1]. The Mercurial history[2] of the PEP texts represent their historical record. Index by Category num title owner --- ----- ----- Meta-PEPs (PEPs about
Abstract This is a proposal for asynchronous I/O in Python 3, starting at Python 3.3. Consider this the concrete proposal that is missing from PEP 3153. The proposal includes a pluggable event loop, transport and protocol abstractions similar to those in Twisted, and a higher-level scheduler based on yield from (PEP 380). The proposed package name is asyncio. Status A reference implementation exis
No implementations of these methods are added to the builtin or standard library types. However, a number of projects have reached consensus on the recommended semantics for these operations; see Intended usage details below for details. For details on how this operator will be implemented in CPython, see Implementation details. Executive summary In numerical code, there are two important operatio
Introduction This document gives coding conventions for the Python code comprising the standard library in the main Python distribution. Please see the companion informational PEP describing style guidelines for the C code in the C implementation of Python [1]. This document and PEP 257 (Docstring Conventions) were adapted from Guido's original Python Style Guide essay, with some additions from Ba
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