How to Install and Uninstall scipy.x86_64 Package on Amazon Linux 2
Last updated: January 13,2025
1. Install "scipy.x86_64" package
This guide let you learn how to install scipy.x86_64 on Amazon Linux 2
$
sudo yum makecache
Copied
$
sudo yum install
scipy.x86_64
Copied
2. Uninstall "scipy.x86_64" package
This guide let you learn how to uninstall scipy.x86_64 on Amazon Linux 2:
$
sudo yum remove
scipy.x86_64
Copied
$
sudo yum autoremove
Copied
3. Information about the scipy.x86_64 package on Amazon Linux 2
Loaded plugins: ovl, priorities
Available Packages
Name : scipy
Arch : x86_64
Version : 0.12.1
Release : 6.amzn2
Size : 9.3 M
Repo : amzn2-core/2/x86_64
Summary : Scipy: Scientific Tools for Python
URL : http://www.scipy.org
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
Arch : x86_64
Version : 0.12.1
Release : 6.amzn2
Size : 9.3 M
Repo : amzn2-core/2/x86_64
Summary : Scipy: Scientific Tools for Python
URL : http://www.scipy.org
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.