How to Install and Uninstall golang-github-influxdata-tdigest-devel.noarch Package on Fedora 36
Last updated: December 27,2024
1. Install "golang-github-influxdata-tdigest-devel.noarch" package
Learn how to install golang-github-influxdata-tdigest-devel.noarch on Fedora 36
$
sudo dnf update
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$
sudo dnf install
golang-github-influxdata-tdigest-devel.noarch
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2. Uninstall "golang-github-influxdata-tdigest-devel.noarch" package
Please follow the instructions below to uninstall golang-github-influxdata-tdigest-devel.noarch on Fedora 36:
$
sudo dnf remove
golang-github-influxdata-tdigest-devel.noarch
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$
sudo dnf autoremove
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3. Information about the golang-github-influxdata-tdigest-devel.noarch package on Fedora 36
Last metadata expiration check: 5:44:56 ago on Thu Sep 8 08:04:50 2022.
Available Packages
Name : golang-github-influxdata-tdigest-devel
Version : 0.0.1
Release : 4.fc36
Architecture : noarch
Size : 26 k
Source : golang-github-influxdata-tdigest-0.0.1-4.fc36.src.rpm
Repository : fedora
Summary : Implementation of Ted Dunning's t-digest in Go
URL : https://github.com/influxdata/tdigest
License : ASL 2.0
Description : A new data structure for accurate on-line accumulation of rank-based statistics
: such as quantiles and trimmed means. The t-digest algorithm is also very
: friendly to parallel programs making it useful in map-reduce and parallel
: streaming applications implemented using, say, Apache Spark.
:
: This is an implementation of Ted Dunning's t-digest in Go.
:
: The implementation is based off Derrick Burns' C++ implementation.
:
: This package contains the source code needed for building packages that
: reference the following Go import paths:
: – github.com/influxdata/tdigest
Available Packages
Name : golang-github-influxdata-tdigest-devel
Version : 0.0.1
Release : 4.fc36
Architecture : noarch
Size : 26 k
Source : golang-github-influxdata-tdigest-0.0.1-4.fc36.src.rpm
Repository : fedora
Summary : Implementation of Ted Dunning's t-digest in Go
URL : https://github.com/influxdata/tdigest
License : ASL 2.0
Description : A new data structure for accurate on-line accumulation of rank-based statistics
: such as quantiles and trimmed means. The t-digest algorithm is also very
: friendly to parallel programs making it useful in map-reduce and parallel
: streaming applications implemented using, say, Apache Spark.
:
: This is an implementation of Ted Dunning's t-digest in Go.
:
: The implementation is based off Derrick Burns' C++ implementation.
:
: This package contains the source code needed for building packages that
: reference the following Go import paths:
: – github.com/influxdata/tdigest