How to Install and Uninstall julia Package on openSuSE Tumbleweed
Last updated: February 24,2025
1. Install "julia" package
Please follow the step by step instructions below to install julia on openSuSE Tumbleweed
$
sudo zypper refresh
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$
sudo zypper install
julia
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2. Uninstall "julia" package
This tutorial shows how to uninstall julia on openSuSE Tumbleweed:
$
sudo zypper remove
julia
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3. Information about the julia package on openSuSE Tumbleweed
Information for package julia:
------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : julia
Version : 1.9.4-2.3
Arch : x86_64
Vendor : openSUSE
Installed Size : 2.40 GiB
Installed : No
Status : not installed
Source package : julia-1.9.4-2.3.src
Upstream URL : http://julialang.org/
Summary : High-level, high-performance dynamic programming language
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 is experimental and by no means supported by upstream. If you want
to use julia, please install juliaup instead.
------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : julia
Version : 1.9.4-2.3
Arch : x86_64
Vendor : openSUSE
Installed Size : 2.40 GiB
Installed : No
Status : not installed
Source package : julia-1.9.4-2.3.src
Upstream URL : http://julialang.org/
Summary : High-level, high-performance dynamic programming language
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 is experimental and by no means supported by upstream. If you want
to use julia, please install juliaup instead.