How to Install and Uninstall python3-arrow.noarch Package on Red Hat Enterprise Linux 9 (RHEL 9)
Last updated: January 15,2025
1. Install "python3-arrow.noarch" package
This is a short guide on how to install python3-arrow.noarch on Red Hat Enterprise Linux 9 (RHEL 9)
$
sudo dnf update
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$
sudo dnf install
python3-arrow.noarch
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2. Uninstall "python3-arrow.noarch" package
This is a short guide on how to uninstall python3-arrow.noarch on Red Hat Enterprise Linux 9 (RHEL 9):
$
sudo dnf remove
python3-arrow.noarch
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$
sudo dnf autoremove
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3. Information about the python3-arrow.noarch package on Red Hat Enterprise Linux 9 (RHEL 9)
Last metadata expiration check: 2:12:50 ago on Mon Feb 26 07:04:30 2024.
Available Packages
Name : python3-arrow
Version : 1.2.3
Release : 5.el9
Architecture : noarch
Size : 125 k
Source : python-arrow-1.2.3-5.el9.src.rpm
Repository : epel
Summary : Better dates and times for Python
URL : https://pypi.io/project/arrow
License : ASL 2.0
Description : Arrow is a Python library that offers a sensible, human-friendly approach to
: creating, manipulating, formatting and converting dates, times, and timestamps.
:
: It implements and updates the datetime type, plugging gaps in functionality,
: and provides an intelligent module API that supports many common creation
: scenarios.
:
: Simply put, it helps you work with dates and times with fewer imports and a lot
: less code.
Available Packages
Name : python3-arrow
Version : 1.2.3
Release : 5.el9
Architecture : noarch
Size : 125 k
Source : python-arrow-1.2.3-5.el9.src.rpm
Repository : epel
Summary : Better dates and times for Python
URL : https://pypi.io/project/arrow
License : ASL 2.0
Description : Arrow is a Python library that offers a sensible, human-friendly approach to
: creating, manipulating, formatting and converting dates, times, and timestamps.
:
: It implements and updates the datetime type, plugging gaps in functionality,
: and provides an intelligent module API that supports many common creation
: scenarios.
:
: Simply put, it helps you work with dates and times with fewer imports and a lot
: less code.