How to Install and Uninstall python3-execnet.noarch Package on Red Hat Enterprise Linux 9 (RHEL 9)
Last updated: November 25,2024
1. Install "python3-execnet.noarch" package
Please follow the guidelines below to install python3-execnet.noarch on Red Hat Enterprise Linux 9 (RHEL 9)
$
sudo dnf update
Copied
$
sudo dnf install
python3-execnet.noarch
Copied
2. Uninstall "python3-execnet.noarch" package
Here is a brief guide to show you how to uninstall python3-execnet.noarch on Red Hat Enterprise Linux 9 (RHEL 9):
$
sudo dnf remove
python3-execnet.noarch
Copied
$
sudo dnf autoremove
Copied
3. Information about the python3-execnet.noarch package on Red Hat Enterprise Linux 9 (RHEL 9)
Last metadata expiration check: 0:26:46 ago on Mon Feb 26 07:04:30 2024.
Available Packages
Name : python3-execnet
Version : 1.9.0
Release : 3.el9
Architecture : noarch
Size : 333 k
Source : python-execnet-1.9.0-3.el9.src.rpm
Repository : epel
Summary : Elastic Python Deployment
URL : https://github.com/pytest-dev/execnet
License : MIT
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
Available Packages
Name : python3-execnet
Version : 1.9.0
Release : 3.el9
Architecture : noarch
Size : 333 k
Source : python-execnet-1.9.0-3.el9.src.rpm
Repository : epel
Summary : Elastic Python Deployment
URL : https://github.com/pytest-dev/execnet
License : MIT
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