How To Install python-pynn-doc on Fedora 36

In this tutorial we learn how to install python-pynn-doc in Fedora 36. python-pynn-doc is A package for simulator-independent specification of neuronal network models

Introduction

In this tutorial we learn how to install python-pynn-doc on Fedora 36.

What is python-pynn-doc

Documentation for python-pynn.

We can use yum or dnf to install python-pynn-doc on Fedora 36. In this tutorial we discuss both methods but you only need to choose one of method to install python-pynn-doc.

Install python-pynn-doc on Fedora 36 Using dnf

Update yum database with dnf using the following command.

sudo dnf makecache --refresh

After updating yum database, We can install python-pynn-doc using dnf by running the following command:

sudo dnf -y install python-pynn-doc

Install python-pynn-doc on Fedora 36 Using yum

Update yum database with yum using the following command.

sudo yum makecache --refresh

After updating yum database, We can install python-pynn-doc using yum by running the following command:

sudo yum -y install python-pynn-doc

How To Uninstall python-pynn-doc on Fedora 36

To uninstall only the python-pynn-doc package we can use the following command:

sudo dnf remove python-pynn-doc

python-pynn-doc Package Contents on Fedora 36

/usr/share/doc/python-pynn-doc
/usr/share/doc/python-pynn-doc/examples
/usr/share/doc/python-pynn-doc/examples/HH_cond_exp2.py
/usr/share/doc/python-pynn-doc/examples/Izhikevich.py
/usr/share/doc/python-pynn-doc/examples/StepCurrentSource.py
/usr/share/doc/python-pynn-doc/examples/VAbenchmarks.py
/usr/share/doc/python-pynn-doc/examples/brunel.py
/usr/share/doc/python-pynn-doc/examples/cell_type_demonstration.py
/usr/share/doc/python-pynn-doc/examples/connections.py
/usr/share/doc/python-pynn-doc/examples/current_injection.py
/usr/share/doc/python-pynn-doc/examples/distrib_example.py
/usr/share/doc/python-pynn-doc/examples/gif_neuron.py
/usr/share/doc/python-pynn-doc/examples/inhomogeneous_network.py
/usr/share/doc/python-pynn-doc/examples/multiquantal_synapses.py
/usr/share/doc/python-pynn-doc/examples/nineml_brunel.py
/usr/share/doc/python-pynn-doc/examples/nineml_neuron.py
/usr/share/doc/python-pynn-doc/examples/nrn_artificial_cell.py
/usr/share/doc/python-pynn-doc/examples/parameter_changes.py
/usr/share/doc/python-pynn-doc/examples/random_distributions.py
/usr/share/doc/python-pynn-doc/examples/random_numbers.py
/usr/share/doc/python-pynn-doc/examples/simpleRandomNetwork.py
/usr/share/doc/python-pynn-doc/examples/simpleRandomNetwork_csa.py
/usr/share/doc/python-pynn-doc/examples/simple_STDP.py
/usr/share/doc/python-pynn-doc/examples/small_network.py
/usr/share/doc/python-pynn-doc/examples/specific_network.py
/usr/share/doc/python-pynn-doc/examples/stdp_network.py
/usr/share/doc/python-pynn-doc/examples/stochastic_deterministic_comparison.py
/usr/share/doc/python-pynn-doc/examples/stochastic_synapses.py
/usr/share/doc/python-pynn-doc/examples/stochastic_tsodyksmarkram.py
/usr/share/doc/python-pynn-doc/examples/synaptic_input.py
/usr/share/doc/python-pynn-doc/examples/tsodyksmarkram.py
/usr/share/doc/python-pynn-doc/examples/update_spike_source_array.py
/usr/share/doc/python-pynn-doc/examples/varying_poisson.py
/usr/share/licenses/python-pynn-doc
/usr/share/licenses/python-pynn-doc/LICENSE

References

Summary

In this tutorial we learn how to install python-pynn-doc on Fedora 36 using yum and [dnf]((/fedora/36/dnf/).