Python
Alte Version von Python 2.7.4
Ausgewählte Version
Python 2.7.4
Windows 98, 2000, XP, Vista, 7, 8
Lizenz
Open Source
Erscheinungsdatum
06 April, 2013 (6 years ago )

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Herunterladen Python 2.7.4
Python 2.7.4

Python 2.7.4 (15.48 MB)

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Systemanforderungen von Python 2.7.4
  • Windows XP
  • Windows Vista
  • Windows 7
  • Windows Server 2003
  • Windows Server 2008
  • Windows 8
  • Windows Server 2012
Programm Information von Python 2.7.4
Version Name:
Python 2.7.4

Datei Größe:
15.48 MB

Erscheinungsdatum:
06 April, 2013 (6 years ago)

MD5 Prüfsumme:
4610171C0DBC22712D597F808DCB8D37

SHA1 Prüfsumme:
610FDBA52F8E3C1EC2F42A5AEC284F29D5DC953B

Version Historie vonPython 2.7.4
The Python 2.7 series is scheduled to be the last major version in the 2.x series before 2.x moves into an extended maintenance period. The 2.7 series contains many of the features that were first released in Python 3.1. Features introduced in Python…

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Python Screenshots
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
Über 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

Updates : Python Updates

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.