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DNF (abbreviation for Dandified YUM) [7] [8] [9] is a package manager for Red Hat-based Linux distributions and derivatives. DNF was introduced in Fedora 18 in 2013 as a replacement for yum; [10] it has been the default package manager since Fedora 22 in 2015 [11] and Red Hat Enterprise Linux 8 [when?] [12] and is also an alternative package manager for Mageia.
YUM aimed to address both the perceived deficiencies in the old APT-RPM, [18] and restrictions of the Red Hat up2date package management tool. YUM superseded up2date in Red Hat Enterprise Linux 5 and later. [19] Some authors refer to YUM as the Yellowdog Update Manager, or suggest that "Your Update Manager" would be more appropriate.
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The group of packages strives to provide a cohesive collection of functions to deal with common data science tasks, including data import, cleaning, transformation and visualisation (notably with the ggplot2 package). The R Infrastructure packages [31] support coding and the development of R packages and as of 2021-05-04, Metacran [17] lists 16 ...
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.
This is a list of free and open-source software (FOSS) packages, computer software licensed under free software licenses and open-source licenses. Software that fits the Free Software Definition may be more appropriately called free software ; the GNU project in particular objects to their works being referred to as open-source . [ 1 ]
A typical use of a package management system is to facilitate the integration of code from possibly different sources into a coherent stand-alone operating unit. Thus, a package management system might be used to produce a distribution of Linux , possibly a distribution tailored to a specific restricted application.
With the release of version 0.3.0 in April 2016 [4] the use in production and research environments became more widespread. The package was reviewed several months later on the R blog The Beginner Programmer as "R provides a simple and very user friendly package named rnn for working with recurrent neural networks.", [5] which further increased usage.