How to Install and Uninstall python3.11-jinja2.noarch Package on CentOS Stream 8
Last updated: November 25,2024
1. Install "python3.11-jinja2.noarch" package
This guide let you learn how to install python3.11-jinja2.noarch on CentOS Stream 8
$
sudo dnf update
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$
sudo dnf install
python3.11-jinja2.noarch
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2. Uninstall "python3.11-jinja2.noarch" package
Please follow the guidance below to uninstall python3.11-jinja2.noarch on CentOS Stream 8:
$
sudo dnf remove
python3.11-jinja2.noarch
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$
sudo dnf autoremove
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3. Information about the python3.11-jinja2.noarch package on CentOS Stream 8
Last metadata expiration check: 3:25:25 ago on Sun Feb 25 03:03:59 2024.
Available Packages
Name : python3.11-jinja2
Version : 3.1.3
Release : 1.el8
Architecture : noarch
Size : 325 k
Source : python3.11-jinja2-epel-3.1.3-1.el8.src.rpm
Repository : epel
Summary : General purpose template engine
URL : https://palletsprojects.com/p/jinja/
License : BSD-3-Clause
Description : Jinja2 is a template engine written in pure Python. It provides a
: Django inspired non-XML syntax but supports inline expressions and an
: optional sandboxed environment.
:
: If you have any exposure to other text-based template languages, such
: as Smarty or Django, you should feel right at home with Jinja2. It's
: both designer and developer friendly by sticking to Python's
: principles and adding functionality useful for templating
: environments.
Available Packages
Name : python3.11-jinja2
Version : 3.1.3
Release : 1.el8
Architecture : noarch
Size : 325 k
Source : python3.11-jinja2-epel-3.1.3-1.el8.src.rpm
Repository : epel
Summary : General purpose template engine
URL : https://palletsprojects.com/p/jinja/
License : BSD-3-Clause
Description : Jinja2 is a template engine written in pure Python. It provides a
: Django inspired non-XML syntax but supports inline expressions and an
: optional sandboxed environment.
:
: If you have any exposure to other text-based template languages, such
: as Smarty or Django, you should feel right at home with Jinja2. It's
: both designer and developer friendly by sticking to Python's
: principles and adding functionality useful for templating
: environments.