How to Install and Uninstall conda.noarch Package on Red Hat Enterprise Linux 9 (RHEL 9)
Last updated: November 28,2024
1. Install "conda.noarch" package
This guide covers the steps necessary to install conda.noarch on Red Hat Enterprise Linux 9 (RHEL 9)
$
sudo dnf update
Copied
$
sudo dnf install
conda.noarch
Copied
2. Uninstall "conda.noarch" package
Please follow the steps below to uninstall conda.noarch on Red Hat Enterprise Linux 9 (RHEL 9):
$
sudo dnf remove
conda.noarch
Copied
$
sudo dnf autoremove
Copied
3. Information about the conda.noarch package on Red Hat Enterprise Linux 9 (RHEL 9)
Last metadata expiration check: 0:34:16 ago on Mon Feb 26 07:04:30 2024.
Available Packages
Name : conda
Version : 4.14.0
Release : 3.el9
Architecture : noarch
Size : 15 k
Source : conda-4.14.0-3.el9.src.rpm
Repository : epel
Summary : Cross-platform, Python-agnostic binary package manager
URL : http://conda.pydata.org/docs/
License : BSD and ASL 2.0 and LGPLv2+ and MIT
Description : Conda is a cross-platform, Python-agnostic binary package manager. It
: is the package manager used by Anaconda installations, but it may be
: used for other systems as well. Conda makes environments first-class
: citizens, making it easy to create independent environments even for
: C libraries. Conda is written entirely in Python.
:
: The Fedora conda base environment is special. Unlike a standard
: anaconda install base environment it is essentially read-only. You
: can only use conda to create and manage new environments.
Available Packages
Name : conda
Version : 4.14.0
Release : 3.el9
Architecture : noarch
Size : 15 k
Source : conda-4.14.0-3.el9.src.rpm
Repository : epel
Summary : Cross-platform, Python-agnostic binary package manager
URL : http://conda.pydata.org/docs/
License : BSD and ASL 2.0 and LGPLv2+ and MIT
Description : Conda is a cross-platform, Python-agnostic binary package manager. It
: is the package manager used by Anaconda installations, but it may be
: used for other systems as well. Conda makes environments first-class
: citizens, making it easy to create independent environments even for
: C libraries. Conda is written entirely in Python.
:
: The Fedora conda base environment is special. Unlike a standard
: anaconda install base environment it is essentially read-only. You
: can only use conda to create and manage new environments.