How to Install and Uninstall julia.x86_64 Package on Fedora 34
Last updated: October 07,2024
1. Install "julia.x86_64" package
This is a short guide on how to install julia.x86_64 on Fedora 34
$
sudo dnf update
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$
sudo dnf install
julia.x86_64
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2. Uninstall "julia.x86_64" package
Please follow the steps below to uninstall julia.x86_64 on Fedora 34:
$
sudo dnf remove
julia.x86_64
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$
sudo dnf autoremove
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3. Information about the julia.x86_64 package on Fedora 34
Last metadata expiration check: 1:35:07 ago on Tue Sep 6 08:10:37 2022.
Available Packages
Name : julia
Version : 1.6.6
Release : 1.fc34
Architecture : x86_64
Size : 41 M
Source : julia-1.6.6-1.fc34.src.rpm
Repository : updates
Summary : High-level, high-performance dynamic language for technical computing
URL : http://julialang.org/
License : MIT and LGPLv2+ and GPLv2+
Description : Julia is a high-level, high-performance dynamic programming language
: for technical computing, with syntax that is familiar to users of
: other technical computing environments. It provides a sophisticated
: compiler, distributed parallel execution, numerical accuracy, and an
: extensive mathematical function library. The library, largely written
: in Julia itself, also integrates mature, best-of-breed C and Fortran
: libraries for linear algebra, random number generation, signal processing,
: and string processing.
:
: This package only contains the essential parts of the Julia environment:
: the julia executable and the standard library.
Available Packages
Name : julia
Version : 1.6.6
Release : 1.fc34
Architecture : x86_64
Size : 41 M
Source : julia-1.6.6-1.fc34.src.rpm
Repository : updates
Summary : High-level, high-performance dynamic language for technical computing
URL : http://julialang.org/
License : MIT and LGPLv2+ and GPLv2+
Description : Julia is a high-level, high-performance dynamic programming language
: for technical computing, with syntax that is familiar to users of
: other technical computing environments. It provides a sophisticated
: compiler, distributed parallel execution, numerical accuracy, and an
: extensive mathematical function library. The library, largely written
: in Julia itself, also integrates mature, best-of-breed C and Fortran
: libraries for linear algebra, random number generation, signal processing,
: and string processing.
:
: This package only contains the essential parts of the Julia environment:
: the julia executable and the standard library.