Wiki source code of 02. Installing PyNN

Version 18.2 by shailesh on 2021/10/05 15:38
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3 tutorials under development for Linux, Mac OS, Windows, Jupyter Lab.
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7 == Learning objectives ==
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9 In this tutorial, you will learn how to install PyNN, together with the NEST, NEURON and Brian2 simulators, on Linux / Mac OS / Windows / in EBRAINS Jupyter Lab.
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13 Note: There will be a separate tutorial for each environment.
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16 == Audience ==
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18 This tutorial is intended for people with at least a basic knowledge of neuroscience (high school level or above) and basic familiarity with the Python programming language. It should also be helpful for people who already have advanced knowledge of neuroscience and neural simulation, who simply wish to learn how to use PyNN, and how it differs from other simulation tools they know.
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20 == Prerequisites ==
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22 To follow this tutorial, you will need a computer with [Linux/Mac OS/Windows] and a good network connection. You will need to know how to open the terminal application for your operating system.
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28 To follow this tutorial, you will need an EBRAINS account. You should know how to create and use Jupyter notebooks in the EBRAINS Jupyter Lab.
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30 == Format ==
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32 These tutorials will be screencasts, in which the presenter runs commands in a terminal (or in a Jupyer notebook), and the viewer is expected to follow along. The intended duration is 10 minutes. For the Jupyter version of the tutorial, the final notebook will also be made available.
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34 == Script ==
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38 **Slide** showing tutorial title, PyNN logo, link to PyNN service page.
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41 Hello, my name is X.
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43 This video is one of a series of tutorials for PyNN, which is Python software for modelling and simulating spiking neural networks.
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45 For a list of the other tutorials in this series, you can visit ebrains.eu/service/pynn, that's p-y-n-n.
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49 **Slide** listing learning objectives
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52 In this tutorial, I will guide you through setting up PyNN, together with the NEST, NEURON and Brian2 simulators, in a Linux  environment. Note that we have a dedicated version of this tutorial for other environments, such as Mac OS, Windows and EBRAINS Jupyter Lab.
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56 **Slide** listing prerequisites
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59 I shall be demonstrating the installation on a computer with Ubuntu 18.04 OS installed. The steps are likely to remain very similar for other versions of Ubuntu OS, and also not expected to vary significantly for other Linux distributions. In the latter case, you will find on the Internet about how to carry out the equivalent of the tasks demonstrated here using Ubuntu OS.
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61 === State the learning objectives (In this tutorial, you will learn to do X…) ===
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65 === State prerequisites ===
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69 === Description, explanation, and practice ===
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73 === Summary (In this tutorial, you have learned to do X…) ===
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77 === Acknowledgements if appropriate ===
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81 === References to websites (For more information, visit us at…) ===
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