How to Install and Uninstall python3-numexpr.x86_64 Package on AlmaLinux 9
Last updated: February 28,2025
1. Install "python3-numexpr.x86_64" package
This guide covers the steps necessary to install python3-numexpr.x86_64 on AlmaLinux 9
$
sudo dnf update
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$
sudo dnf install
python3-numexpr.x86_64
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2. Uninstall "python3-numexpr.x86_64" package
Learn how to uninstall python3-numexpr.x86_64 on AlmaLinux 9:
$
sudo dnf remove
python3-numexpr.x86_64
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$
sudo dnf autoremove
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3. Information about the python3-numexpr.x86_64 package on AlmaLinux 9
Last metadata expiration check: 1:44:36 ago on Wed Mar 13 07:41:12 2024.
Available Packages
Name : python3-numexpr
Version : 2.8.4
Release : 1.el9
Architecture : x86_64
Size : 137 k
Source : python-numexpr-2.8.4-1.el9.src.rpm
Repository : epel
Summary : Fast numerical array expression evaluator for Python and NumPy
URL : https://github.com/pydata/numexpr
License : MIT
Description : The numexpr package evaluates multiple-operator array expressions many times
: faster than NumPy can. It accepts the expression as a string, analyzes it,
: rewrites it more efficiently, and compiles it to faster Python code on the
: fly. It’s the next best thing to writing the expression in C and compiling it
: with a specialized just-in-time (JIT) compiler, i.e. it does not require a
: compiler at runtime.
Available Packages
Name : python3-numexpr
Version : 2.8.4
Release : 1.el9
Architecture : x86_64
Size : 137 k
Source : python-numexpr-2.8.4-1.el9.src.rpm
Repository : epel
Summary : Fast numerical array expression evaluator for Python and NumPy
URL : https://github.com/pydata/numexpr
License : MIT
Description : The numexpr package evaluates multiple-operator array expressions many times
: faster than NumPy can. It accepts the expression as a string, analyzes it,
: rewrites it more efficiently, and compiles it to faster Python code on the
: fly. It’s the next best thing to writing the expression in C and compiling it
: with a specialized just-in-time (JIT) compiler, i.e. it does not require a
: compiler at runtime.