How to Install and Uninstall python38-Mako Package on openSuSE Tumbleweed
Last updated: November 07,2024
Deprecated! Installation of this package may no longer be supported.
1. Install "python38-Mako" package
In this section, we are going to explain the necessary steps to install python38-Mako on openSuSE Tumbleweed
$
sudo zypper refresh
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$
sudo zypper install
python38-Mako
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2. Uninstall "python38-Mako" package
Please follow the instructions below to uninstall python38-Mako on openSuSE Tumbleweed:
$
sudo zypper remove
python38-Mako
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3. Information about the python38-Mako package on openSuSE Tumbleweed
Information for package python38-Mako:
--------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : python38-Mako
Version : 1.1.6-1.1
Arch : noarch
Vendor : openSUSE
Installed Size : 712,2 KiB
Installed : No
Status : not installed
Source package : python-Mako-1.1.6-1.1.src
Summary : A Python templating language
Description :
Mako is a template library written in Python. It provides a non-XML
syntax which compiles into Python modules for performance. Mako's
syntax and API borrows from Django templates, Cheetah, Myghty, and
Genshi. Conceptually, Mako is an embedded Python (i.e. Python Server
Page) language, which refines the ideas of componentized layout and
inheritance, while maintaining close ties to Python calling and
scoping semantics.
--------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : python38-Mako
Version : 1.1.6-1.1
Arch : noarch
Vendor : openSUSE
Installed Size : 712,2 KiB
Installed : No
Status : not installed
Source package : python-Mako-1.1.6-1.1.src
Summary : A Python templating language
Description :
Mako is a template library written in Python. It provides a non-XML
syntax which compiles into Python modules for performance. Mako's
syntax and API borrows from Django templates, Cheetah, Myghty, and
Genshi. Conceptually, Mako is an embedded Python (i.e. Python Server
Page) language, which refines the ideas of componentized layout and
inheritance, while maintaining close ties to Python calling and
scoping semantics.