How to Install and Uninstall root.x86_64 Package on Red Hat Enterprise Linux 9 (RHEL 9)
Last updated: November 25,2024
1. Install "root.x86_64" package
Here is a brief guide to show you how to install root.x86_64 on Red Hat Enterprise Linux 9 (RHEL 9)
$
sudo dnf update
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$
sudo dnf install
root.x86_64
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2. Uninstall "root.x86_64" package
Please follow the steps below to uninstall root.x86_64 on Red Hat Enterprise Linux 9 (RHEL 9):
$
sudo dnf remove
root.x86_64
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$
sudo dnf autoremove
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3. Information about the root.x86_64 package on Red Hat Enterprise Linux 9 (RHEL 9)
Last metadata expiration check: 1:57:13 ago on Mon Feb 26 07:04:30 2024.
Available Packages
Name : root
Version : 6.30.04
Release : 1.el9
Architecture : x86_64
Size : 158 k
Source : root-6.30.04-1.el9.src.rpm
Repository : epel
Summary : Numerical data analysis framework
URL : https://root.cern/
License : LGPL-2.1-or-later
Description : The ROOT system provides a set of object oriented frameworks with all
: the functionality needed to handle and analyze large amounts of data
: in a very efficient way. Having the data defined as a set of objects,
: specialized storage methods are used to get direct access to the
: separate attributes of the selected objects, without having to touch
: the bulk of the data. Included are histogramming methods in an
: arbitrary number of dimensions, curve fitting, function evaluation,
: minimization, graphics and visualization classes to allow the easy
: setup of an analysis system that can query and process the data
: interactively or in batch mode, as well as a general parallel
: processing framework, PROOF, that can considerably speed up an
: analysis.
:
: Thanks to the built-in C++ interpreter cling, the command, the
: scripting and the programming language are all C++. The interpreter
: allows for fast prototyping of the macros since it removes the, time
: consuming, compile/link cycle. It also provides a good environment to
: learn C++. If more performance is needed the interactively developed
: macros can be compiled using a C++ compiler via a machine independent
: transparent compiler interface called ACliC.
:
: The system has been designed in such a way that it can query its
: databases in parallel on clusters of workstations or many-core
: machines. ROOT is an open system that can be dynamically extended by
: linking external libraries. This makes ROOT a premier platform on
: which to build data acquisition, simulation and data analysis systems.
Available Packages
Name : root
Version : 6.30.04
Release : 1.el9
Architecture : x86_64
Size : 158 k
Source : root-6.30.04-1.el9.src.rpm
Repository : epel
Summary : Numerical data analysis framework
URL : https://root.cern/
License : LGPL-2.1-or-later
Description : The ROOT system provides a set of object oriented frameworks with all
: the functionality needed to handle and analyze large amounts of data
: in a very efficient way. Having the data defined as a set of objects,
: specialized storage methods are used to get direct access to the
: separate attributes of the selected objects, without having to touch
: the bulk of the data. Included are histogramming methods in an
: arbitrary number of dimensions, curve fitting, function evaluation,
: minimization, graphics and visualization classes to allow the easy
: setup of an analysis system that can query and process the data
: interactively or in batch mode, as well as a general parallel
: processing framework, PROOF, that can considerably speed up an
: analysis.
:
: Thanks to the built-in C++ interpreter cling, the command, the
: scripting and the programming language are all C++. The interpreter
: allows for fast prototyping of the macros since it removes the, time
: consuming, compile/link cycle. It also provides a good environment to
: learn C++. If more performance is needed the interactively developed
: macros can be compiled using a C++ compiler via a machine independent
: transparent compiler interface called ACliC.
:
: The system has been designed in such a way that it can query its
: databases in parallel on clusters of workstations or many-core
: machines. ROOT is an open system that can be dynamically extended by
: linking external libraries. This makes ROOT a premier platform on
: which to build data acquisition, simulation and data analysis systems.