How to Install and Uninstall python312-Mako Package on openSuSE Tumbleweed
Last updated: November 23,2024
1. Install "python312-Mako" package
Please follow the step by step instructions below to install python312-Mako on openSuSE Tumbleweed
$
sudo zypper refresh
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$
sudo zypper install
python312-Mako
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2. Uninstall "python312-Mako" package
Learn how to uninstall python312-Mako on openSuSE Tumbleweed:
$
sudo zypper remove
python312-Mako
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3. Information about the python312-Mako package on openSuSE Tumbleweed
Information for package python312-Mako:
---------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : python312-Mako
Version : 1.3.2-1.4
Arch : noarch
Vendor : openSUSE
Installed Size : 703.6 KiB
Installed : No
Status : not installed
Source package : python-Mako-1.3.2-1.4.src
Upstream URL : https://www.makotemplates.org/
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 : python312-Mako
Version : 1.3.2-1.4
Arch : noarch
Vendor : openSUSE
Installed Size : 703.6 KiB
Installed : No
Status : not installed
Source package : python-Mako-1.3.2-1.4.src
Upstream URL : https://www.makotemplates.org/
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.