How to Install and Uninstall python311-dist Package on openSuSE Tumbleweed
Last updated: December 25,2024
1. Install "python311-dist" package
This guide let you learn how to install python311-dist on openSuSE Tumbleweed
$
sudo zypper refresh
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$
sudo zypper install
python311-dist
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2. Uninstall "python311-dist" package
Please follow the guidelines below to uninstall python311-dist on openSuSE Tumbleweed:
$
sudo zypper remove
python311-dist
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3. Information about the python311-dist package on openSuSE Tumbleweed
Information for package python311-dist:
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Repository : openSUSE-Tumbleweed-Oss
Name : python311-dist
Version : 1.0.3-3.6
Arch : x86_64
Vendor : openSUSE
Installed Size : 21.3 KiB
Installed : No
Status : not installed
Source package : python-dist-1.0.3-3.6.src
Upstream URL : https://github.com/duboviy/dist
Summary : Compute distance between two coordinates on the map
Description :
As more and more apps are using maps, the more demand for geolocation capabilities increase.
Geolocation is about the reporting of your location to other users,
as well as associating real-world locations (such as landmarks) to your location.
This repo helps to accurately calculate the distance between two locations
and presents a time efficient practical solution,
that is almost 3 times faster than similar fast pure python implementation.
---------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : python311-dist
Version : 1.0.3-3.6
Arch : x86_64
Vendor : openSUSE
Installed Size : 21.3 KiB
Installed : No
Status : not installed
Source package : python-dist-1.0.3-3.6.src
Upstream URL : https://github.com/duboviy/dist
Summary : Compute distance between two coordinates on the map
Description :
As more and more apps are using maps, the more demand for geolocation capabilities increase.
Geolocation is about the reporting of your location to other users,
as well as associating real-world locations (such as landmarks) to your location.
This repo helps to accurately calculate the distance between two locations
and presents a time efficient practical solution,
that is almost 3 times faster than similar fast pure python implementation.