Python 3.5.5rc1 和 Python 3.4.8rc1 发布

内容简介：Python 3.5.5rc1 和 Python 3.4.8rc1 发布了。主要更新内容如下： Python 3.5.5rc1 PEP 441, improved Python zip application support PEP 448, additional unpacking generalizations PEP 461, "%-formatting"...

Python 3.5.5rc1 和 Python 3.4.8rc1 发布了。主要更新内容如下：

Python 3.5.5rc1

• PEP 441, improved Python zip application support

• PEP 448, additional unpacking generalizations

• PEP 461, "%-formatting" for bytes and bytearray objects

• PEP 465, a new operator (@) for matrix multiplication

• PEP 471, os.scandir(), a fast new directory traversal function

• PEP 475, adding support for automatic retries of interrupted system calls

• PEP 479, change StopIteration handling inside generators

• PEP 484, the typing module, a new standard for type annotations

• PEP 485, math.isclose(), a function for testing approximate equality

• PEP 486, making the Windows Python launcher aware of virtual environments

• PEP 488, eliminating .pyo files

• PEP 489, a new and improved mechanism for loading extension modules

• PEP 492, coroutines with async and await syntax

Python 3.4.8rc1

• PEP 428, a "pathlib" module providing object-oriented filesystem paths

• PEP 435, a standardized "enum" module

• PEP 436, a build enhancement that will help generate introspection information for builtins

• PEP 442, improved semantics for object finalization

• PEP 443, adding single-dispatch generic functions to the standard library

• PEP 445, a new C API for implementing custom memory allocators

• PEP 446, changing file descriptors to not be inherited by default in subprocesses

• PEP 450, a new "statistics" module

• PEP 451, standardizing module metadata for Python's module import system

• PEP 453, a bundled installer for the pip package manager

• PEP 454, a new "tracemalloc" module for tracing Python memory allocations

• PEP 456, a new hash algorithm for Python strings and binary data

• PEP 3154, a new and improved protocol for pickled objects

• PEP 3156, a new "asyncio" module, a new framework for asynchronous I/O

详情及下载地址：

• Python 3.5.5rc1

• Python 3.4.8rc1

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