How to Install and Uninstall python2-tabulate Package on openSUSE Leap
Last updated: November 23,2024
Deprecated! Installation of this package may no longer be supported.
1. Install "python2-tabulate" package
This is a short guide on how to install python2-tabulate on openSUSE Leap
$
sudo zypper refresh
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$
sudo zypper install
python2-tabulate
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2. Uninstall "python2-tabulate" package
This guide let you learn how to uninstall python2-tabulate on openSUSE Leap:
$
sudo zypper remove
python2-tabulate
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3. Information about the python2-tabulate package on openSUSE Leap
Information for package python2-tabulate:
-----------------------------------------
Repository : Main Repository
Name : python2-tabulate
Version : 0.7.7-1.18
Arch : noarch
Vendor : SUSE LLC
Installed Size : 112,9 KiB
Installed : No
Status : not installed
Source package : python-tabulate-0.7.7-1.18.src
Summary : Pretty-print tabular data in Python
Description :
Pretty-print tabular data in Python.
The main use cases of the library are:
* printing small tables without hassle: just one function call, formatting is
guided by the data itself
* authoring tabular data for lightweight plain-text markup: multiple output
formats suitable for further editing or transformation
* readable presentation of mixed textual and numeric data: smart column
alignment, configurable number formatting, alignment by a decimal point
-----------------------------------------
Repository : Main Repository
Name : python2-tabulate
Version : 0.7.7-1.18
Arch : noarch
Vendor : SUSE LLC
Installed Size : 112,9 KiB
Installed : No
Status : not installed
Source package : python-tabulate-0.7.7-1.18.src
Summary : Pretty-print tabular data in Python
Description :
Pretty-print tabular data in Python.
The main use cases of the library are:
* printing small tables without hassle: just one function call, formatting is
guided by the data itself
* authoring tabular data for lightweight plain-text markup: multiple output
formats suitable for further editing or transformation
* readable presentation of mixed textual and numeric data: smart column
alignment, configurable number formatting, alignment by a decimal point