Python
旧版本 Python 3.3.3 (x64)
所选取版本
Python 3.3.3 (x64)
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
18 November, 2013 (5 years ago )

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下载 Python 3.3.3 (x64)
Python 3.3.3 (x64)

Python 3.3.3 (x64) (20.11 MB)

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系统要求 Python 3.3.3 (x64)
  • Windows XP x64
  • Windows Vista x64
  • Windows 7 x64
  • Windows Server 2008
  • Windows Server 2003 x64
  • Windows 8 x64
  • Windows Server 2012
程序信息 Python 3.3.3 (x64)
版本名称:
Python 3.3.3 (x64)

文件大小:
20.11 MB

发布日期:
18 November, 2013 (5 years ago)

MD5 校验码:
8DE52D1E2E4BBB3419B7F40BDF48E855

SHA1 校验码:
B9BC6AA8546F2CFDB8723F393A17E4A8C13DA08E

版本历史 Python 3.3.3 (x64)
  • Change log not available
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?

Anyone can learn to use Python and see almost immediate gains in productivity and lower maintenance costs.