How to Install and Uninstall scipy.src Package on Oracle Linux 8
Last updated: November 29,2024
1. Install "scipy.src" package
This guide covers the steps necessary to install scipy.src on Oracle Linux 8
$
sudo dnf update
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$
sudo dnf install
scipy.src
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2. Uninstall "scipy.src" package
This guide let you learn how to uninstall scipy.src on Oracle Linux 8:
$
sudo dnf remove
scipy.src
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$
sudo dnf autoremove
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3. Information about the scipy.src package on Oracle Linux 8
Last metadata expiration check: 2:27:50 ago on Mon Sep 12 02:51:38 2022.
Available Packages
Name : scipy
Version : 1.5.4
Release : 3.module+el8.4.0+20109+b7b1db01
Architecture : src
Size : 24 M
Source : None
Repository : ol8_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 : scipy
Version : 1.5.4
Release : 3.module+el8.4.0+20109+b7b1db01
Architecture : src
Size : 24 M
Source : None
Repository : ol8_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.