How to Install and Uninstall python3-cloudpickle.noarch Package on Fedora 35
Last updated: November 28,2024
1. Install "python3-cloudpickle.noarch" package
Please follow the guidelines below to install python3-cloudpickle.noarch on Fedora 35
$
sudo dnf update
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$
sudo dnf install
python3-cloudpickle.noarch
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2. Uninstall "python3-cloudpickle.noarch" package
Please follow the guidelines below to uninstall python3-cloudpickle.noarch on Fedora 35:
$
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 Fedora 35
Last metadata expiration check: 4:00:12 ago on Wed Sep 7 02:25:42 2022.
Available Packages
Name : python3-cloudpickle
Version : 1.6.0
Release : 5.fc35
Architecture : noarch
Size : 43 k
Source : python-cloudpickle-1.6.0-5.fc35.src.rpm
Repository : fedora
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 : 1.6.0
Release : 5.fc35
Architecture : noarch
Size : 43 k
Source : python-cloudpickle-1.6.0-5.fc35.src.rpm
Repository : fedora
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.