Python
旧版本 Python 3.2.2
所选取版本
Python 3.2.2
支持的系统
旧的系统版本
Windows 98, 2000, XP, Vista, 7, 8
许可
Open Source
发布日期
04 September, 2011 (7 years ago )

Sponsored Links

下载 Python 3.2.2
Python 3.2.2

Python 3.2.2 (17.2 MB)

okay 42 scans reported this version clean

Sponsored Links

系统要求 Python 3.2.2
  • Windows 2000
  • Windows XP
  • Windows Vista
  • Windows 7
  • Windows Server 2003
程序信息 Python 3.2.2
版本名称:
Python 3.2.2

文件大小:
17.2 MB

发布日期:
04 September, 2011 (7 years ago)

MD5 校验码:
8AFB1B01E8FAB738E7B234EB4FE3955C

SHA1 校验码:
5D0265A1258A480365BE43F59264CE21DE5DA315

版本历史 Python 3.2.2
Python 3.2.2 was released on September 4th, 2011. It mainly fixes a regression in the urllib.request module that prevented opening many HTTP resources correctly with Python 3.2.1.
Python 3.2 is a continuation of the efforts to improve and stabilize…

查看全文...

Python 截图
Python 3.1.4 a dynamic object-oriented programming language with new unittest features including test skipping and new assert methods. More
To support Python 3.1.4 has a way to put definitions in a file and use them in a script or in an interactive instance of the interpreter. More
Python 3.1.4 released with new, improved, and deprecated modules that support convenient counting of unique items in a sequence or iterable class added. More
关于 Python

Python is a dynamic object-oriented programming language that can be used for many kinds of software development. It offers strong support for integration with other languages and tools, comes with extensive standard libraries, and can be learned in a few days. Many Python programmers report substantial productivity gains and feel the language encourages the development of higher quality, more maintainable code. Python runs on Windows, Linux/Unix, Mac OS X, OS/2, Amiga, Palm Handhelds, and Nokia mobile phones. Python has also been ported to the Java and .NET virtual machines.

Python Features

  • very clear, readable syntax
  • strong introspection capabilities
  • intuitive object orientation
  • natural expression of procedural code
  • full modularity, supporting hierarchical packages
  • exception-based error handling
  • very high level dynamic data types
  • extensive standard libraries and third party modules for virtually every task
  • extensions and modules easily written in C, C++ (or Java for Jython, or .NET languages for IronPython)
  • embeddable within applications as a scripting interfac

更新 : Python 更新

Did You Know?

The Python interpreter can be extended easily with new functions and data types implemented in either C or C++ or other similar languages. Python is also suitable as an extension language for customizable applications.