How to Install and Uninstall python310-execnet Package on openSuSE Tumbleweed
Last updated: January 03,2025
1. Install "python310-execnet" package
This guide covers the steps necessary to install python310-execnet on openSuSE Tumbleweed
$
sudo zypper refresh
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$
sudo zypper install
python310-execnet
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2. Uninstall "python310-execnet" package
Learn how to uninstall python310-execnet on openSuSE Tumbleweed:
$
sudo zypper remove
python310-execnet
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3. Information about the python310-execnet package on openSuSE Tumbleweed
Information for package python310-execnet:
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Repository : openSUSE-Tumbleweed-Oss
Name : python310-execnet
Version : 2.0.2-1.5
Arch : noarch
Vendor : openSUSE
Installed Size : 294.4 KiB
Installed : No
Status : not installed
Source package : python-execnet-2.0.2-1.5.src
Upstream URL : https://github.com/pytest-dev/execnet
Summary : Rapid multi-Python deployment
Description :
execnet provides a share-nothing model with
channel-send/receive communication for distributing
execution across many Python interpreters across version,
platform and network barriers. It has a minimal and fast
API targetting the following uses:
* distribute tasks to (many) local or remote CPUs
* write and deploy hybrid multi-process applications
* write scripts to administer multiple environments
------------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : python310-execnet
Version : 2.0.2-1.5
Arch : noarch
Vendor : openSUSE
Installed Size : 294.4 KiB
Installed : No
Status : not installed
Source package : python-execnet-2.0.2-1.5.src
Upstream URL : https://github.com/pytest-dev/execnet
Summary : Rapid multi-Python deployment
Description :
execnet provides a share-nothing model with
channel-send/receive communication for distributing
execution across many Python interpreters across version,
platform and network barriers. It has a minimal and fast
API targetting the following uses:
* distribute tasks to (many) local or remote CPUs
* write and deploy hybrid multi-process applications
* write scripts to administer multiple environments