How to Install and Uninstall python39-scipy.x86_64 Package on AlmaLinux 8
Last updated: November 01,2024
1. Install "python39-scipy.x86_64" package
This guide covers the steps necessary to install python39-scipy.x86_64 on AlmaLinux 8
$
sudo dnf update
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$
sudo dnf install
python39-scipy.x86_64
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2. Uninstall "python39-scipy.x86_64" package
Learn how to uninstall python39-scipy.x86_64 on AlmaLinux 8:
$
sudo dnf remove
python39-scipy.x86_64
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$
sudo dnf autoremove
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3. Information about the python39-scipy.x86_64 package on AlmaLinux 8
Last metadata expiration check: 1:23:09 ago on Mon Sep 5 03:22:42 2022.
Available Packages
Name : python39-scipy
Version : 1.5.4
Release : 3.module_el8.6.0+2780+a40f65e1
Architecture : x86_64
Size : 16 M
Source : scipy-1.5.4-3.module_el8.6.0+2780+a40f65e1.src.rpm
Repository : appstream
Summary : Scientific Tools for Python
URL : http://www.scipy.org/scipylib/index.html
License : BSD and Boost and Public Domain
Description : Scipy is open-source software for mathematics, science, and
: engineering. The core library is NumPy which provides convenient and
: fast N-dimensional array manipulation. The SciPy library is built to
: work with NumPy arrays, and provides many user-friendly and efficient
: numerical routines such as routines for numerical integration and
: optimization. Together, they run on all popular operating systems, are
: quick to install, and are free of charge. NumPy and SciPy are easy to
: use, but powerful enough to be depended upon by some of the world's
: leading scientists and engineers.
Available Packages
Name : python39-scipy
Version : 1.5.4
Release : 3.module_el8.6.0+2780+a40f65e1
Architecture : x86_64
Size : 16 M
Source : scipy-1.5.4-3.module_el8.6.0+2780+a40f65e1.src.rpm
Repository : appstream
Summary : Scientific Tools for Python
URL : http://www.scipy.org/scipylib/index.html
License : BSD and Boost and Public Domain
Description : Scipy is open-source software for mathematics, science, and
: engineering. The core library is NumPy which provides convenient and
: fast N-dimensional array manipulation. The SciPy library is built to
: work with NumPy arrays, and provides many user-friendly and efficient
: numerical routines such as routines for numerical integration and
: optimization. Together, they run on all popular operating systems, are
: quick to install, and are free of charge. NumPy and SciPy are easy to
: use, but powerful enough to be depended upon by some of the world's
: leading scientists and engineers.