How to Install and Uninstall python310-Mako Package on openSuSE Tumbleweed
Last updated: December 26,2024
1. Install "python310-Mako" package
This tutorial shows how to install python310-Mako on openSuSE Tumbleweed
$
sudo zypper refresh
Copied
$
sudo zypper install
python310-Mako
Copied
2. Uninstall "python310-Mako" package
Please follow the guidelines below to uninstall python310-Mako on openSuSE Tumbleweed:
$
sudo zypper remove
python310-Mako
Copied
3. Information about the python310-Mako package on openSuSE Tumbleweed
Information for package python310-Mako:
---------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : python310-Mako
Version : 1.3.2-1.4
Arch : noarch
Vendor : openSUSE
Installed Size : 552.1 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 : python310-Mako
Version : 1.3.2-1.4
Arch : noarch
Vendor : openSUSE
Installed Size : 552.1 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.