How to Install and Uninstall python3-marshmallow.noarch Package on Fedora 35
Last updated: October 07,2024
1. Install "python3-marshmallow.noarch" package
Here is a brief guide to show you how to install python3-marshmallow.noarch on Fedora 35
$
sudo dnf update
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$
sudo dnf install
python3-marshmallow.noarch
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2. Uninstall "python3-marshmallow.noarch" package
Please follow the step by step instructions below to uninstall python3-marshmallow.noarch on Fedora 35:
$
sudo dnf remove
python3-marshmallow.noarch
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$
sudo dnf autoremove
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3. Information about the python3-marshmallow.noarch package on Fedora 35
Last metadata expiration check: 5:28:18 ago on Wed Sep 7 08:25:01 2022.
Available Packages
Name : python3-marshmallow
Version : 3.13.0
Release : 1.fc35
Architecture : noarch
Size : 103 k
Source : python-marshmallow-3.13.0-1.fc35.src.rpm
Repository : fedora
Summary : Documentation for python-marshmallow
URL : http://marshmallow.readthedocs.org/
License : MIT
Description : Marshmallow is a framework-agnostic library for converting complex datatypes,
: such as objects, to and from primitive Python datatypes.
:
: Marshmallow schemas can be used to:
: * Validate input data.
: * Deserialize input data to app-level objects.
: * Serialize app-level objects to primitive Python types. The serialized objects
: can then be rendered to standard formats such as JSON for use in an HTTP API.
:
: Python 3 version.
Available Packages
Name : python3-marshmallow
Version : 3.13.0
Release : 1.fc35
Architecture : noarch
Size : 103 k
Source : python-marshmallow-3.13.0-1.fc35.src.rpm
Repository : fedora
Summary : Documentation for python-marshmallow
URL : http://marshmallow.readthedocs.org/
License : MIT
Description : Marshmallow is a framework-agnostic library for converting complex datatypes,
: such as objects, to and from primitive Python datatypes.
:
: Marshmallow schemas can be used to:
: * Validate input data.
: * Deserialize input data to app-level objects.
: * Serialize app-level objects to primitive Python types. The serialized objects
: can then be rendered to standard formats such as JSON for use in an HTTP API.
:
: Python 3 version.