How to Install and Uninstall python3-conda.noarch Package on Rocky Linux 8
Last updated: November 14,2024
1. Install "python3-conda.noarch" package
Please follow the steps below to install python3-conda.noarch on Rocky Linux 8
$
sudo dnf update
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$
sudo dnf install
python3-conda.noarch
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2. Uninstall "python3-conda.noarch" package
Please follow the step by step instructions below to uninstall python3-conda.noarch on Rocky Linux 8:
$
sudo dnf remove
python3-conda.noarch
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$
sudo dnf autoremove
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3. Information about the python3-conda.noarch package on Rocky Linux 8
Last metadata expiration check: 1:21:44 ago on Mon Sep 12 10:27:18 2022.
Available Packages
Name : python3-conda
Version : 4.10.3
Release : 1.el8
Architecture : noarch
Size : 1.0 M
Source : conda-4.10.3-1.el8.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 : python3-conda
Version : 4.10.3
Release : 1.el8
Architecture : noarch
Size : 1.0 M
Source : conda-4.10.3-1.el8.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.