How to Install and Uninstall python3-fypp.noarch Package on Fedora 34
Last updated: November 30,2024
1. Install "python3-fypp.noarch" package
Please follow the guidelines below to install python3-fypp.noarch on Fedora 34
$
sudo dnf update
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$
sudo dnf install
python3-fypp.noarch
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2. Uninstall "python3-fypp.noarch" package
Please follow the guidance below to uninstall python3-fypp.noarch on Fedora 34:
$
sudo dnf remove
python3-fypp.noarch
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$
sudo dnf autoremove
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3. Information about the python3-fypp.noarch package on Fedora 34
Last metadata expiration check: 2:26:53 ago on Tue Sep 6 02:10:55 2022.
Available Packages
Name : python3-fypp
Version : 3.1
Release : 1.fc34
Architecture : noarch
Size : 58 k
Source : python-fypp-3.1-1.fc34.src.rpm
Repository : updates
Summary : Fortran preprocessor
URL : https://github.com/aradi/fypp
License : BSD
Description : Fypp is a Python powered preprocessor. It can be used for any programming
: languages but its primary aim is to offer a Fortran preprocessor, which helps
: to extend Fortran with condititional compiling and template metaprogramming
: capabilities. Instead of introducing its own expression syntax, it uses Python
: expressions in its preprocessor directives, offering the consistency and
: versatility of Python when formulating metaprogramming tasks. It puts strong
: emphasis on robustness and on neat integration into developing toolchains.
Available Packages
Name : python3-fypp
Version : 3.1
Release : 1.fc34
Architecture : noarch
Size : 58 k
Source : python-fypp-3.1-1.fc34.src.rpm
Repository : updates
Summary : Fortran preprocessor
URL : https://github.com/aradi/fypp
License : BSD
Description : Fypp is a Python powered preprocessor. It can be used for any programming
: languages but its primary aim is to offer a Fortran preprocessor, which helps
: to extend Fortran with condititional compiling and template metaprogramming
: capabilities. Instead of introducing its own expression syntax, it uses Python
: expressions in its preprocessor directives, offering the consistency and
: versatility of Python when formulating metaprogramming tasks. It puts strong
: emphasis on robustness and on neat integration into developing toolchains.