How to Install and Uninstall python3-conda.noarch Package on Fedora 38
Last updated: November 28,2024
1. Install "python3-conda.noarch" package
Here is a brief guide to show you how to install python3-conda.noarch on Fedora 38
$
sudo dnf update
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$
sudo dnf install
python3-conda.noarch
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2. Uninstall "python3-conda.noarch" package
This tutorial shows how to uninstall python3-conda.noarch on Fedora 38:
$
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 Fedora 38
Last metadata expiration check: 1:01:54 ago on Sat Mar 16 22:59:57 2024.
Available Packages
Name : python3-conda
Version : 23.9.0
Release : 6.fc38
Architecture : noarch
Size : 1.3 M
Source : conda-23.9.0-6.fc38.src.rpm
Repository : updates
Summary : conda tests
URL : http://conda.pydata.org/docs/
License : BSD-3-Clause AND Apache-2.0
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 : 23.9.0
Release : 6.fc38
Architecture : noarch
Size : 1.3 M
Source : conda-23.9.0-6.fc38.src.rpm
Repository : updates
Summary : conda tests
URL : http://conda.pydata.org/docs/
License : BSD-3-Clause AND Apache-2.0
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.