How to Install and Uninstall python3-curio.noarch Package on Fedora 38
Last updated: October 30,2024
1. Install "python3-curio.noarch" package
This tutorial shows how to install python3-curio.noarch on Fedora 38
$
sudo dnf update
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$
sudo dnf install
python3-curio.noarch
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2. Uninstall "python3-curio.noarch" package
Please follow the guidance below to uninstall python3-curio.noarch on Fedora 38:
$
sudo dnf remove
python3-curio.noarch
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$
sudo dnf autoremove
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3. Information about the python3-curio.noarch package on Fedora 38
Last metadata expiration check: 4:07:55 ago on Sat Mar 16 22:59:57 2024.
Available Packages
Name : python3-curio
Version : 1.6
Release : 2.fc38
Architecture : noarch
Size : 162 k
Source : python-curio-1.6-2.fc38.src.rpm
Repository : fedora
Summary : Building blocks for performing concurrent I/O
URL : https://github.com/dabeaz/curio
License : BSD
Description : Curio is a library of building blocks for performing concurrent I/O and common
: system programming tasks such as launching subprocesses, working with files,
: and farming work out to thread and process pools. It uses Python coroutines
: and the explicit async/await syntax introduced in Python 3.5. Its programming
: model is based on cooperative multitasking and existing programming
: abstractions such as threads, sockets, files, subprocesses, locks, and queues.
: You'll find it to be small, fast, and fun. Curio has no third-party
: dependencies and does not use the standard asyncio module. Most users will
: probably find it to be a bit too-low level--it's probably best to think of it
: as a library for building libraries. Although you might not use it directly,
: many of its ideas have influenced other libraries with similar functionality.
Available Packages
Name : python3-curio
Version : 1.6
Release : 2.fc38
Architecture : noarch
Size : 162 k
Source : python-curio-1.6-2.fc38.src.rpm
Repository : fedora
Summary : Building blocks for performing concurrent I/O
URL : https://github.com/dabeaz/curio
License : BSD
Description : Curio is a library of building blocks for performing concurrent I/O and common
: system programming tasks such as launching subprocesses, working with files,
: and farming work out to thread and process pools. It uses Python coroutines
: and the explicit async/await syntax introduced in Python 3.5. Its programming
: model is based on cooperative multitasking and existing programming
: abstractions such as threads, sockets, files, subprocesses, locks, and queues.
: You'll find it to be small, fast, and fun. Curio has no third-party
: dependencies and does not use the standard asyncio module. Most users will
: probably find it to be a bit too-low level--it's probably best to think of it
: as a library for building libraries. Although you might not use it directly,
: many of its ideas have influenced other libraries with similar functionality.