Last modified by adavison on 2022/10/04 13:53
From version 48.1
edited by shailesh
on 2021/12/09 17:18
Change comment: There is no comment for this version
To version 51.1
edited by shailesh
on 2022/01/31 15:02
Change comment: There is no comment for this version

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44 44  **Slide** listing prerequisites
45 45  )))
46 46  
47 -I will demonstrate the installation on a computer with Ubuntu 20.04 OS installed. The steps are likely to remain very similar for other versions of Ubuntu OS and are also not expected to vary significantly for other Linux distributions. In the latter case, you can find information on the Internet about how to carry out the equivalent of the tasks demonstrated here using Ubuntu OS. Also, this tutorial focuses only on Python 3, because Python 2 has now been deprecated. It is recommended to use Python version 3.6 or higher. I will be using Python 3.8.10 in this tutorial, because it is the default version provided with Ubuntu 20.04.
47 +I will demonstrate the installation on a computer with Ubuntu 20.04 OS installed. The steps are likely to remain very similar for other versions of Ubuntu OS and are also not expected to vary significantly for other Linux distributions. In the latter case, you can find information on the Internet about how to carry out the equivalent of the tasks demonstrated here using Ubuntu OS. Also, this tutorial focuses only on Python 3, because Python 2 is no longer supported. It is recommended to use Python version 3.6 or higher. I will be using Python 3.8.10 in this tutorial, because it is the default version provided with Ubuntu 20.04.
48 48  
49 49  (% class="box errormessage" %)
50 50  (((
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129 129  (% class="box infomessage" %)
130 130  (((
131 131  **Screencast** - terminal
132 -\\(% style="color:#000000" %)\\pip install ~-~-upgrade pip
132 +\\(% style="color:#000000" %)pip install ~-~-upgrade pip
133 133  sudo apt install make
134 134  )))
135 135  
136 -
137 -
138 138  Now that we have our project's virtual environment setup, we are ready to install PyNN and other simulators. In general, it is advisable to install the various simulators (especially NEURON and NEST) prior to installing PyNN, because PyNN will then auto compile NEURON's NMODL fles and NEST's extensions during installation. In this tutorial, we will adopt this approach and begin by installing the simulators. For the purposes of this tutorial, we will demonstrate the installation of Brian2, NEST, and NEURON simulators.
139 139  
140 140  (% class="box errormessage" %)