How to Install and Uninstall texlive-dbshow Package on openSuSE Tumbleweed
Last updated: November 23,2024
1. Install "texlive-dbshow" package
This guide let you learn how to install texlive-dbshow on openSuSE Tumbleweed
$
sudo zypper refresh
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$
sudo zypper install
texlive-dbshow
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2. Uninstall "texlive-dbshow" package
Please follow the instructions below to uninstall texlive-dbshow on openSuSE Tumbleweed:
$
sudo zypper remove
texlive-dbshow
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3. Information about the texlive-dbshow package on openSuSE Tumbleweed
Information for package texlive-dbshow:
---------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : texlive-dbshow
Version : 2023.209.1.5svn61634-53.3
Arch : noarch
Vendor : openSUSE
Installed Size : 36.0 KiB
Installed : No
Status : not installed
Source package : texlive-specs-g-2023-53.3.src
Upstream URL : https://www.tug.org/texlive/
Summary : A package to store and display data with custom filters, orders, and styles
Description :
The package provides four core functions: data storage and
display data filtering data sorting data display All data is
saved once and then you can display these data with custom
filters, orders and styles. The package can be used, for
example, to record and display something you'd like to review,
maybe the question you always answered incorrectly or some
forgettable knowledge. But obviously, the package is much more
powerful and extensible for more interesting tasks depending on
the individual.
---------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : texlive-dbshow
Version : 2023.209.1.5svn61634-53.3
Arch : noarch
Vendor : openSUSE
Installed Size : 36.0 KiB
Installed : No
Status : not installed
Source package : texlive-specs-g-2023-53.3.src
Upstream URL : https://www.tug.org/texlive/
Summary : A package to store and display data with custom filters, orders, and styles
Description :
The package provides four core functions: data storage and
display data filtering data sorting data display All data is
saved once and then you can display these data with custom
filters, orders and styles. The package can be used, for
example, to record and display something you'd like to review,
maybe the question you always answered incorrectly or some
forgettable knowledge. But obviously, the package is much more
powerful and extensible for more interesting tasks depending on
the individual.