How to Install and Uninstall golang-github-vividcortex-gohistogram-dev Package on Kali Linux
Last updated: November 22,2024
1. Install "golang-github-vividcortex-gohistogram-dev" package
Please follow the step by step instructions below to install golang-github-vividcortex-gohistogram-dev on Kali Linux
$
sudo apt update
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$
sudo apt install
golang-github-vividcortex-gohistogram-dev
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2. Uninstall "golang-github-vividcortex-gohistogram-dev" package
This is a short guide on how to uninstall golang-github-vividcortex-gohistogram-dev on Kali Linux:
$
sudo apt remove
golang-github-vividcortex-gohistogram-dev
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$
sudo apt autoclean && sudo apt autoremove
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3. Information about the golang-github-vividcortex-gohistogram-dev package on Kali Linux
Package: golang-github-vividcortex-gohistogram-dev
Source: golang-github-vividcortex-gohistogram
Version: 1.0.0-2
Installed-Size: 99
Maintainer: Debian Go Packaging Team
Architecture: all
Size: 17584
SHA256: 1c1475eeb98ee1a9f308c0e0fcae1597b5fbc18ee33c4369c2c11f94366c7cc5
SHA1: a14950be66f55bd1925f77a7f79c9f842c04002b
MD5sum: b182d7762883b09a370fd445f6fac53b
Description: Streaming approximate histograms in Go (library)
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.
Description-md5:
Multi-Arch: foreign
Homepage: https://github.com/VividCortex/gohistogram
Section: golang
Priority: optional
Filename: pool/main/g/golang-github-vividcortex-gohistogram/golang-github-vividcortex-gohistogram-dev_1.0.0-2_all.deb
Source: golang-github-vividcortex-gohistogram
Version: 1.0.0-2
Installed-Size: 99
Maintainer: Debian Go Packaging Team
Architecture: all
Size: 17584
SHA256: 1c1475eeb98ee1a9f308c0e0fcae1597b5fbc18ee33c4369c2c11f94366c7cc5
SHA1: a14950be66f55bd1925f77a7f79c9f842c04002b
MD5sum: b182d7762883b09a370fd445f6fac53b
Description: Streaming approximate histograms in Go (library)
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.
Description-md5:
Multi-Arch: foreign
Homepage: https://github.com/VividCortex/gohistogram
Section: golang
Priority: optional
Filename: pool/main/g/golang-github-vividcortex-gohistogram/golang-github-vividcortex-gohistogram-dev_1.0.0-2_all.deb