How to Install and Uninstall golang-github-vividcortex-gohistogram-devel.noarch Package on Fedora 36
Last updated: November 14,2024
1. Install "golang-github-vividcortex-gohistogram-devel.noarch" package
In this section, we are going to explain the necessary steps to install golang-github-vividcortex-gohistogram-devel.noarch on Fedora 36
$
sudo dnf update
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$
sudo dnf install
golang-github-vividcortex-gohistogram-devel.noarch
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2. Uninstall "golang-github-vividcortex-gohistogram-devel.noarch" package
This guide covers the steps necessary to uninstall golang-github-vividcortex-gohistogram-devel.noarch on Fedora 36:
$
sudo dnf remove
golang-github-vividcortex-gohistogram-devel.noarch
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$
sudo dnf autoremove
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3. Information about the golang-github-vividcortex-gohistogram-devel.noarch package on Fedora 36
Last metadata expiration check: 0:21:45 ago on Thu Sep 8 14:04:51 2022.
Available Packages
Name : golang-github-vividcortex-gohistogram-devel
Version : 1.0.0
Release : 7.fc36
Architecture : noarch
Size : 27 k
Source : golang-github-vividcortex-gohistogram-1.0.0-7.fc36.src.rpm
Repository : fedora
Summary : Streaming approximate histograms in Go
URL : https://github.com/VividCortex/gohistogram
License : MIT
Description : This package provides Streaming Approximate Histograms for efficient quantile
: approximations.
:
: The histograms in this package are based on the algorithms found in Ben-Haim &
: Yom-Tov's A Streaming Parallel Decision Tree Algorithm. Histogram bins do not
: have a preset size. As values stream into the histogram, bins are dynamically
: added and merged.
:
: This package contains the source code needed for building packages that
: reference the following Go import paths:
: – github.com/VividCortex/gohistogram
Available Packages
Name : golang-github-vividcortex-gohistogram-devel
Version : 1.0.0
Release : 7.fc36
Architecture : noarch
Size : 27 k
Source : golang-github-vividcortex-gohistogram-1.0.0-7.fc36.src.rpm
Repository : fedora
Summary : Streaming approximate histograms in Go
URL : https://github.com/VividCortex/gohistogram
License : MIT
Description : This package provides Streaming Approximate Histograms for efficient quantile
: approximations.
:
: The histograms in this package are based on the algorithms found in Ben-Haim &
: Yom-Tov's A Streaming Parallel Decision Tree Algorithm. Histogram bins do not
: have a preset size. As values stream into the histogram, bins are dynamically
: added and merged.
:
: This package contains the source code needed for building packages that
: reference the following Go import paths:
: – github.com/VividCortex/gohistogram