How to Install and Uninstall python3-scipy.x86_64 Package on Red Hat Enterprise Linux 8 (RHEL 8)
Last updated: January 25,2025
1. Install "python3-scipy.x86_64" package
This guide covers the steps necessary to install python3-scipy.x86_64 on Red Hat Enterprise Linux 8 (RHEL 8)
$
sudo dnf update
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$
sudo dnf install
python3-scipy.x86_64
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2. Uninstall "python3-scipy.x86_64" package
Please follow the steps below to uninstall python3-scipy.x86_64 on Red Hat Enterprise Linux 8 (RHEL 8):
$
sudo dnf remove
python3-scipy.x86_64
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$
sudo dnf autoremove
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3. Information about the python3-scipy.x86_64 package on Red Hat Enterprise Linux 8 (RHEL 8)
Last metadata expiration check: 0:52:05 ago on Mon Feb 26 15:59:38 2024.
Available Packages
Name : python3-scipy
Version : 1.0.0
Release : 21.module+el8.9.0+20976+d3c38525
Architecture : x86_64
Size : 14 M
Source : scipy-1.0.0-21.module+el8.9.0+20976+d3c38525.src.rpm
Repository : ubi-8-appstream-rpms
Summary : Scientific Tools for Python
URL : http://www.scipy.org/scipylib/index.html
License : BSD and LGPLv2+
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 : python3-scipy
Version : 1.0.0
Release : 21.module+el8.9.0+20976+d3c38525
Architecture : x86_64
Size : 14 M
Source : scipy-1.0.0-21.module+el8.9.0+20976+d3c38525.src.rpm
Repository : ubi-8-appstream-rpms
Summary : Scientific Tools for Python
URL : http://www.scipy.org/scipylib/index.html
License : BSD and LGPLv2+
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.