How to Install and Uninstall python3-cloudpickle.noarch Package on Rocky Linux 9
Last updated: October 10,2024
1. Install "python3-cloudpickle.noarch" package
In this section, we are going to explain the necessary steps to install python3-cloudpickle.noarch on Rocky Linux 9
$
sudo dnf update
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$
sudo dnf install
python3-cloudpickle.noarch
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2. Uninstall "python3-cloudpickle.noarch" package
Here is a brief guide to show you how to uninstall python3-cloudpickle.noarch on Rocky Linux 9:
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sudo dnf remove
python3-cloudpickle.noarch
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$
sudo dnf autoremove
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3. Information about the python3-cloudpickle.noarch package on Rocky Linux 9
Last metadata expiration check: 2:17:52 ago on Fri Feb 16 06:49:52 2024.
Available Packages
Name : python3-cloudpickle
Version : 2.2.1
Release : 1.el9
Architecture : noarch
Size : 46 k
Source : python-cloudpickle-2.2.1-1.el9.src.rpm
Repository : epel
Summary : Extended pickling support for Python objects
URL : https://github.com/cloudpipe/cloudpickle
License : BSD
Description : cloudpickle makes it possible to serialize Python constructs
: not supported by the default pickle module from the Python standard
: library. cloudpickle is especially useful for cluster computing where
: Python expressions are shipped over the network to execute on remote
: hosts, possibly close to the data. Among other things, cloudpickle
: supports pickling for lambda expressions, functions and classes defined
: interactively in the __main__ module.
Available Packages
Name : python3-cloudpickle
Version : 2.2.1
Release : 1.el9
Architecture : noarch
Size : 46 k
Source : python-cloudpickle-2.2.1-1.el9.src.rpm
Repository : epel
Summary : Extended pickling support for Python objects
URL : https://github.com/cloudpipe/cloudpickle
License : BSD
Description : cloudpickle makes it possible to serialize Python constructs
: not supported by the default pickle module from the Python standard
: library. cloudpickle is especially useful for cluster computing where
: Python expressions are shipped over the network to execute on remote
: hosts, possibly close to the data. Among other things, cloudpickle
: supports pickling for lambda expressions, functions and classes defined
: interactively in the __main__ module.