How to Install and Uninstall python311-execnet Package on openSUSE Leap
Last updated: December 25,2024
1. Install "python311-execnet" package
Please follow the steps below to install python311-execnet on openSUSE Leap
$
sudo zypper refresh
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$
sudo zypper install
python311-execnet
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2. Uninstall "python311-execnet" package
In this section, we are going to explain the necessary steps to uninstall python311-execnet on openSUSE Leap:
$
sudo zypper remove
python311-execnet
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3. Information about the python311-execnet package on openSUSE Leap
Information for package python311-execnet:
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Repository : Update repository with updates from SUSE Linux Enterprise 15
Name : python311-execnet
Version : 1.9.0-150400.12.3.9
Arch : noarch
Vendor : SUSE LLC
Installed Size : 307.5 KiB
Installed : No
Status : not installed
Source package : python-execnet-1.9.0-150400.12.3.9.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 : Update repository with updates from SUSE Linux Enterprise 15
Name : python311-execnet
Version : 1.9.0-150400.12.3.9
Arch : noarch
Vendor : SUSE LLC
Installed Size : 307.5 KiB
Installed : No
Status : not installed
Source package : python-execnet-1.9.0-150400.12.3.9.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