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Old Version of Python |
Software Overview
Website: http://www.python.org
Software Provider: Python Software Foundation
Current Version: Python 3.1
Operating Systems: Windows 98, 2000, XP, Vista
License: Freeware
Newer Version? Incorrect Information? Tell us!
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Please do not send us technical questions, instead ask them in Forums.
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| Python 2.6 (x64) (14 MB) (02 October, 2008) |
| Python 2.6 (14 MB) (02 October, 2008) |
| Python 2.5 (11 MB) (19 September, 2006) |
| Python 2.4.4 (9.3 MB) (18 October, 2006) |
| Python 2.4.3 (9.3 MB) (15 April, 2006) |
| Python 2.4.2 (9.3 MB) (28 September, 2005) |
| Python 2.4.1 (11 MB) (30 March, 2005) |
| Python 2.4 (11 MB) (30 November, 2004) |
| Python 2.3.5 (9.5 MB) (08 February, 2005) |
| Python 2.3.4 (9.5 MB) (27 May, 2004) |
| Python 2.3.3 (9.2 MB) (19 December, 2003) |
| Python 2.3.2.1 (9.1 MB) (15 October, 2003) |
| Python 2.3.2 (9.1 MB) |
| Python 2.3.1 (9.2 MB) (24 September, 2003) |
| Python 2.3 (9.0 MB) (30 July, 2003) |
| Python 2.2.3 (7.0 MB) (31 May, 2003) |
| Python 2.2.2 (7.0 MB) (15 October, 2002) |
| Python 2.2.1 (6.9 MB) (10 April, 2002) |
| Python 2.2 (6.8 MB) (21 December, 2001) |
| Python 2.1.3 (6.2 MB) (09 April, 2002) |
| Python 2.1.2 (6.2 MB) (16 January, 2002) |
| Python 2.1.1 (6.1 MB) (21 July, 2001) |
| Python 2.1 (6.0 MB) (14 June, 2001) |
| Python 2.0.1 (5.6 MB) (23 June, 2001) |
| Python 2.0 (5.6 MB) (14 June, 2001) |
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About 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
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