How to Install and Uninstall python3-ipython_genutils.noarch Package on Red Hat Enterprise Linux 8 (RHEL 8)
Last updated: November 28,2024
1. Install "python3-ipython_genutils.noarch" package
This guide let you learn how to install python3-ipython_genutils.noarch on Red Hat Enterprise Linux 8 (RHEL 8)
$
sudo dnf update
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$
sudo dnf install
python3-ipython_genutils.noarch
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2. Uninstall "python3-ipython_genutils.noarch" package
Please follow the guidelines below to uninstall python3-ipython_genutils.noarch on Red Hat Enterprise Linux 8 (RHEL 8):
$
sudo dnf remove
python3-ipython_genutils.noarch
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$
sudo dnf autoremove
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3. Information about the python3-ipython_genutils.noarch package on Red Hat Enterprise Linux 8 (RHEL 8)
Last metadata expiration check: 1:18:03 ago on Mon Feb 26 15:59:38 2024.
Available Packages
Name : python3-ipython_genutils
Version : 0.1.0
Release : 20.el8
Architecture : noarch
Size : 52 k
Source : python-ipython_genutils-0.1.0-20.el8.src.rpm
Repository : epel
Summary : IPython vestigial utilities
URL : https://github.com/ipython/ipython_genutils
License : BSD
Description : This package is a stop-gap that contains some common utilities shared by
: Jupyter and IPython projects during The Big Split™. As soon as possible,
: those packages will remove their dependency on this, and this repo will go
: away.
:
: No functionality should be added to this repository, and no packages outside
: IPython/Jupyter should depend on it.
Available Packages
Name : python3-ipython_genutils
Version : 0.1.0
Release : 20.el8
Architecture : noarch
Size : 52 k
Source : python-ipython_genutils-0.1.0-20.el8.src.rpm
Repository : epel
Summary : IPython vestigial utilities
URL : https://github.com/ipython/ipython_genutils
License : BSD
Description : This package is a stop-gap that contains some common utilities shared by
: Jupyter and IPython projects during The Big Split™. As soon as possible,
: those packages will remove their dependency on this, and this repo will go
: away.
:
: No functionality should be added to this repository, and no packages outside
: IPython/Jupyter should depend on it.