How to Install and Uninstall python3-neuron-openmpi.x86_64 Package on Fedora 38
Last updated: November 28,2024
1. Install "python3-neuron-openmpi.x86_64" package
In this section, we are going to explain the necessary steps to install python3-neuron-openmpi.x86_64 on Fedora 38
$
sudo dnf update
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$
sudo dnf install
python3-neuron-openmpi.x86_64
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2. Uninstall "python3-neuron-openmpi.x86_64" package
This tutorial shows how to uninstall python3-neuron-openmpi.x86_64 on Fedora 38:
$
sudo dnf remove
python3-neuron-openmpi.x86_64
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$
sudo dnf autoremove
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3. Information about the python3-neuron-openmpi.x86_64 package on Fedora 38
Last metadata expiration check: 2:50:38 ago on Sat Mar 16 16:59:57 2024.
Available Packages
Name : python3-neuron-openmpi
Version : 8.2.2
Release : 3.fc38
Architecture : x86_64
Size : 845 k
Source : neuron-8.2.2-3.fc38.src.rpm
Repository : fedora
Summary : Python3 interface to neuron-openmpi
URL : http://www.neuron.yale.edu/neuron/
License : GPLv3+
Description : NEURON is a simulation environment for modeling individual neurons and networks
: of neurons. It provides tools for conveniently building, managing, and using
: models in a way that is numerically sound and computationally efficient. It is
: particularly well-suited to problems that are closely linked to experimental
: data, especially those that involve cells with complex anatomical and
: biophysical properties.
:
: Please install the neuron-devel package to compile nmodl files, and please
: install the MPI specific sub-packages for MPICH and OpenMPI builds.
Available Packages
Name : python3-neuron-openmpi
Version : 8.2.2
Release : 3.fc38
Architecture : x86_64
Size : 845 k
Source : neuron-8.2.2-3.fc38.src.rpm
Repository : fedora
Summary : Python3 interface to neuron-openmpi
URL : http://www.neuron.yale.edu/neuron/
License : GPLv3+
Description : NEURON is a simulation environment for modeling individual neurons and networks
: of neurons. It provides tools for conveniently building, managing, and using
: models in a way that is numerically sound and computationally efficient. It is
: particularly well-suited to problems that are closely linked to experimental
: data, especially those that involve cells with complex anatomical and
: biophysical properties.
:
: Please install the neuron-devel package to compile nmodl files, and please
: install the MPI specific sub-packages for MPICH and OpenMPI builds.