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Python 2.6 was released to coincide with Python 3.0, and included some features from that release, as well as a "warnings" mode that highlighted the use of features that were removed in Python 3.0. [ 28 ] [ 10 ] Similarly, Python 2.7 coincided with and included features from Python 3.1, [ 29 ] which was released on June 26, 2009.
R is a programming language for statistical computing and data visualization.It has been adopted in the fields of data mining, bioinformatics and data analysis. [9]The core R language is augmented by a large number of extension packages, containing reusable code, documentation, and sample data.
It shipped with Linux 2.6.11, [18] KDE 3.4 and GNOME 2.10. [19] This version introduced the new Clearlooks theme, which was inspired by the Red Hat Bluecurve theme. [19] It also shipped with the OpenOffice.org 2.0 office suite, as well as Xen, a high performance and secure open source virtualization framework. [19]