How to Install and Uninstall python3-xcfun.x86_64 Package on Fedora 34
Last updated: November 29,2024
1. Install "python3-xcfun.x86_64" package
In this section, we are going to explain the necessary steps to install python3-xcfun.x86_64 on Fedora 34
$
sudo dnf update
Copied
$
sudo dnf install
python3-xcfun.x86_64
Copied
2. Uninstall "python3-xcfun.x86_64" package
Learn how to uninstall python3-xcfun.x86_64 on Fedora 34:
$
sudo dnf remove
python3-xcfun.x86_64
Copied
$
sudo dnf autoremove
Copied
3. Information about the python3-xcfun.x86_64 package on Fedora 34
Last metadata expiration check: 1:11:36 ago on Tue Sep 6 08:10:37 2022.
Available Packages
Name : python3-xcfun
Version : 2.1.1
Release : 4.fc34
Architecture : x86_64
Size : 103 k
Source : xcfun-2.1.1-4.fc34.src.rpm
Repository : updates
Summary : Python bindings for XCFun
URL : https://xcfun.readthedocs.io
License : MPLv2.0
Description : XCFun is a library of approximate exchange-correlation functionals,
: used in the Density Functional Theory description of electronic
: structure. Because XCFun is based on automatic differentiation the
: library can provide arbitrary order derivatives of all supported
: functionals. Only the exchange-correlation energy expression needs to
: be implemented, which is a huge gain in productivity (and also
: efficiency). For this reason the library is very well suited for high
: order time dependent DFT or for the development of new functionals.
:
: This package contains the Python bindings for XCFun.
Available Packages
Name : python3-xcfun
Version : 2.1.1
Release : 4.fc34
Architecture : x86_64
Size : 103 k
Source : xcfun-2.1.1-4.fc34.src.rpm
Repository : updates
Summary : Python bindings for XCFun
URL : https://xcfun.readthedocs.io
License : MPLv2.0
Description : XCFun is a library of approximate exchange-correlation functionals,
: used in the Density Functional Theory description of electronic
: structure. Because XCFun is based on automatic differentiation the
: library can provide arbitrary order derivatives of all supported
: functionals. Only the exchange-correlation energy expression needs to
: be implemented, which is a huge gain in productivity (and also
: efficiency). For this reason the library is very well suited for high
: order time dependent DFT or for the development of new functionals.
:
: This package contains the Python bindings for XCFun.