How to Install and Uninstall Judy.x86_64 Package on Fedora 39
Last updated: November 28,2024
1. Install "Judy.x86_64" package
This guide covers the steps necessary to install Judy.x86_64 on Fedora 39
$
sudo dnf update
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$
sudo dnf install
Judy.x86_64
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2. Uninstall "Judy.x86_64" package
This is a short guide on how to uninstall Judy.x86_64 on Fedora 39:
$
sudo dnf remove
Judy.x86_64
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$
sudo dnf autoremove
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3. Information about the Judy.x86_64 package on Fedora 39
Last metadata expiration check: 3:19:19 ago on Thu Mar 7 17:44:52 2024.
Available Packages
Name : Judy
Version : 1.0.5
Release : 32.fc39
Architecture : x86_64
Size : 131 k
Source : Judy-1.0.5-32.fc39.src.rpm
Repository : fedora
Summary : General purpose dynamic array
URL : http://sourceforge.net/projects/judy/
License : LGPL-2.0-or-later
Description : Judy is a C library that provides a state-of-the-art core technology that
: implements a sparse dynamic array. Judy arrays are declared simply with a null
: pointer. A Judy array consumes memory only when it is populated, yet can grow
: to take advantage of all available memory if desired. Judy's key benefits are
: scalability, high performance, and memory efficiency. A Judy array is
: extensible and can scale up to a very large number of elements, bounded only by
: machine memory. Since Judy is designed as an unbounded array, the size of a
: Judy array is not pre-allocated but grows and shrinks dynamically with the
: array population.
Available Packages
Name : Judy
Version : 1.0.5
Release : 32.fc39
Architecture : x86_64
Size : 131 k
Source : Judy-1.0.5-32.fc39.src.rpm
Repository : fedora
Summary : General purpose dynamic array
URL : http://sourceforge.net/projects/judy/
License : LGPL-2.0-or-later
Description : Judy is a C library that provides a state-of-the-art core technology that
: implements a sparse dynamic array. Judy arrays are declared simply with a null
: pointer. A Judy array consumes memory only when it is populated, yet can grow
: to take advantage of all available memory if desired. Judy's key benefits are
: scalability, high performance, and memory efficiency. A Judy array is
: extensible and can scale up to a very large number of elements, bounded only by
: machine memory. Since Judy is designed as an unbounded array, the size of a
: Judy array is not pre-allocated but grows and shrinks dynamically with the
: array population.