How To Install python-pynn-devel on Fedora 36

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

Introduction

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

What is python-pynn-devel

PyNN (pronounced ‘pine’) is a simulator-independent language for building neuronal network models. In other words, you can write the code for a model once, using the PyNN API and the Python programming language, and then run it without modification on any simulator that PyNN supports (currently NEURON, NEST and Brian) and on a number of neuromorphic hardware systems. The PyNN API aims to support modelling at a high-level of abstraction (populations of neurons, layers, columns and the connections between them) while still allowing access to the details of individual neurons and synapses when required. PyNN provides a library of standard neuron, synapse and synaptic plasticity models, which have been verified to work the same on the different supported simulators. PyNN also provides a set of commonly-used connectivity algorithms (e.g. all-to-all, random, distance-dependent, small-world) but makes it easy to provide your own connectivity in a simulator-independent way. Even if you don’t wish to run simulations on multiple simulators, you may benefit from writing your simulation code using PyNN’s powerful, high-level interface. In this case, you can use any neuron or synapse model supported by your simulator, and are not restricted to the standard models. Documentation Mailing list This package supports the NEURON, NEST, and Brian simulators.

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

Install python-pynn-devel 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-devel using dnf by running the following command:

sudo dnf -y install python-pynn-devel

Install python-pynn-devel 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-devel using yum by running the following command:

sudo yum -y install python-pynn-devel

How To Uninstall python-pynn-devel on Fedora 36

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

sudo dnf remove python-pynn-devel

python-pynn-devel Package Contents on Fedora 36

/usr/include/pynn_extensions.h

References

Summary

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


title: “How To Install python-pynn-devel on Fedora 36” linkTitle: “python-pynn-devel” type: “docs” description: “In this tutorial we learn how to install python-pynn-devel in Fedora 36. python-pynn-devel is A package for simulator-independent specification of neuronal network models” date: “2022-08-17” lastmod: “2022-08-17” #image: /images/fedora/36/python-pynn-devel-featured.png

Introduction

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

What is python-pynn-devel

PyNN (pronounced ‘pine’) is a simulator-independent language for building neuronal network models. In other words, you can write the code for a model once, using the PyNN API and the Python programming language, and then run it without modification on any simulator that PyNN supports (currently NEURON, NEST and Brian) and on a number of neuromorphic hardware systems. The PyNN API aims to support modelling at a high-level of abstraction (populations of neurons, layers, columns and the connections between them) while still allowing access to the details of individual neurons and synapses when required. PyNN provides a library of standard neuron, synapse and synaptic plasticity models, which have been verified to work the same on the different supported simulators. PyNN also provides a set of commonly-used connectivity algorithms (e.g. all-to-all, random, distance-dependent, small-world) but makes it easy to provide your own connectivity in a simulator-independent way. Even if you don’t wish to run simulations on multiple simulators, you may benefit from writing your simulation code using PyNN’s powerful, high-level interface. In this case, you can use any neuron or synapse model supported by your simulator, and are not restricted to the standard models. Documentation Mailing list This package supports the NEURON, NEST, and Brian simulators.

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

Install python-pynn-devel 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-devel using dnf by running the following command:

sudo dnf -y install python-pynn-devel

Install python-pynn-devel 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-devel using yum by running the following command:

sudo yum -y install python-pynn-devel

How To Uninstall python-pynn-devel on Fedora 36

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

sudo dnf remove python-pynn-devel

python-pynn-devel Package Contents on Fedora 36

/usr/include/pynn_extensions.h

References

Summary

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