How to Install and Uninstall python3-jinja2.noarch Package on Oracle Linux 8
Last updated: December 12,2024
1. Install "python3-jinja2.noarch" package
Here is a brief guide to show you how to install python3-jinja2.noarch on Oracle Linux 8
$
sudo dnf update
Copied
$
sudo dnf install
python3-jinja2.noarch
Copied
2. Uninstall "python3-jinja2.noarch" package
Please follow the guidelines below to uninstall python3-jinja2.noarch on Oracle Linux 8:
$
sudo dnf remove
python3-jinja2.noarch
Copied
$
sudo dnf autoremove
Copied
3. Information about the python3-jinja2.noarch package on Oracle Linux 8
Last metadata expiration check: 4:50:52 ago on Mon Sep 12 02:51:38 2022.
Available Packages
Name : python3-jinja2
Version : 2.10.1
Release : 3.el8
Architecture : noarch
Size : 538 k
Source : python-jinja2-2.10.1-3.el8.src.rpm
Repository : ol8_appstream
Summary : General purpose template engine for python3
URL : http://jinja.pocoo.org/
License : BSD
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-jinja2
Version : 2.10.1
Release : 3.el8
Architecture : noarch
Size : 538 k
Source : python-jinja2-2.10.1-3.el8.src.rpm
Repository : ol8_appstream
Summary : General purpose template engine for python3
URL : http://jinja.pocoo.org/
License : BSD
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.