How to Install and Uninstall julia-compat Package on openSUSE Leap
Last updated: November 27,2024
1. Install "julia-compat" package
This guide let you learn how to install julia-compat on openSUSE Leap
$
sudo zypper refresh
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$
sudo zypper install
julia-compat
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2. Uninstall "julia-compat" package
Please follow the steps below to uninstall julia-compat on openSUSE Leap:
$
sudo zypper remove
julia-compat
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3. Information about the julia-compat package on openSUSE Leap
Information for package julia-compat:
-------------------------------------
Repository : Main Repository
Name : julia-compat
Version : 1.0.3-bp155.2.48
Arch : x86_64
Vendor : openSUSE
Installed Size : 213.0 MiB
Installed : No
Status : not installed
Source package : julia-compat-1.0.3-bp155.2.48.src
Upstream URL : http://julialang.org/
Summary : High-level, high-performance dynamic programming language (without CPU optim.)
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.
-------------------------------------
Repository : Main Repository
Name : julia-compat
Version : 1.0.3-bp155.2.48
Arch : x86_64
Vendor : openSUSE
Installed Size : 213.0 MiB
Installed : No
Status : not installed
Source package : julia-compat-1.0.3-bp155.2.48.src
Upstream URL : http://julialang.org/
Summary : High-level, high-performance dynamic programming language (without CPU optim.)
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.