How to Install and Uninstall python3-spyder.noarch Package on Fedora 34
Last updated: June 29,2024
1. Install "python3-spyder.noarch" package
Please follow the guidance below to install python3-spyder.noarch on Fedora 34
$
sudo dnf update
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$
sudo dnf install
python3-spyder.noarch
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2. Uninstall "python3-spyder.noarch" package
Please follow the instructions below to uninstall python3-spyder.noarch on Fedora 34:
$
sudo dnf remove
python3-spyder.noarch
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$
sudo dnf autoremove
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3. Information about the python3-spyder.noarch package on Fedora 34
Last metadata expiration check: 0:57:10 ago on Tue Sep 6 08:10:37 2022.
Available Packages
Name : python3-spyder
Version : 4.2.5
Release : 1.fc34
Architecture : noarch
Size : 2.6 M
Source : spyder-4.2.5-1.fc34.src.rpm
Repository : updates
Summary : Scientific Python Development Environment
URL : https://www.spyder-ide.org/
License : MIT
Description :
: Spyder is a powerful scientific environment written in Python, for Python, and
: designed by and for scientists, engineers and data analysts. It features a
: unique combination of the advanced editing, analysis, debugging and profiling
: functionality of a comprehensive development tool with the data exploration,
: interactive execution, deep inspection and beautiful visualization capabilities
: of an analysis package. Furthermore, Spyder offers built-in integration with
: many popular scientific libraries, including NumPy, SciPy, Pandas, IPython,
: QtConsole, Matplotlib, SymPy, and more, and can be extended further with
: full plugin support.
Available Packages
Name : python3-spyder
Version : 4.2.5
Release : 1.fc34
Architecture : noarch
Size : 2.6 M
Source : spyder-4.2.5-1.fc34.src.rpm
Repository : updates
Summary : Scientific Python Development Environment
URL : https://www.spyder-ide.org/
License : MIT
Description :
: Spyder is a powerful scientific environment written in Python, for Python, and
: designed by and for scientists, engineers and data analysts. It features a
: unique combination of the advanced editing, analysis, debugging and profiling
: functionality of a comprehensive development tool with the data exploration,
: interactive execution, deep inspection and beautiful visualization capabilities
: of an analysis package. Furthermore, Spyder offers built-in integration with
: many popular scientific libraries, including NumPy, SciPy, Pandas, IPython,
: QtConsole, Matplotlib, SymPy, and more, and can be extended further with
: full plugin support.