How to Install and Uninstall python2-scipy.x86_64 Package on Rocky Linux 8
Last updated: November 13,2024
1. Install "python2-scipy.x86_64" package
Please follow the instructions below to install python2-scipy.x86_64 on Rocky Linux 8
$
sudo dnf update
Copied
$
sudo dnf install
python2-scipy.x86_64
Copied
2. Uninstall "python2-scipy.x86_64" package
Please follow the step by step instructions below to uninstall python2-scipy.x86_64 on Rocky Linux 8:
$
sudo dnf remove
python2-scipy.x86_64
Copied
$
sudo dnf autoremove
Copied
3. Information about the python2-scipy.x86_64 package on Rocky Linux 8
Last metadata expiration check: 1:10:24 ago on Mon Sep 12 10:27:18 2022.
Available Packages
Name : python2-scipy
Version : 1.0.0
Release : 21.module+el8.5.0+706+735ec4b3
Architecture : x86_64
Size : 14 M
Source : scipy-1.0.0-21.module+el8.5.0+706+735ec4b3.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 : python2-scipy
Version : 1.0.0
Release : 21.module+el8.5.0+706+735ec4b3
Architecture : x86_64
Size : 14 M
Source : scipy-1.0.0-21.module+el8.5.0+706+735ec4b3.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.