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56	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.
	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. Also, the tutorial will focus only on Python 3, as Python 2 has now been deprecated. It is recommended to use Python version 3.6 or higher. I would be using Python 3.9.7 in this tutorial.
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61		-We shall make use of virtualenv (virtual environment) in this tutorial. This allows multiple Python projects to coexist on the same computer, even when they might have different, and even conflicting, requirements. It helps isolate projects and thereby preventing unrequested changes in others, when any one of them is updated.
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	63	+**Screencast** - terminal
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	66	+We shall make use of virtual environments in this tutorial. This allows multiple Python projects to coexist on the same computer, even when they might have different, and even conflicting, requirements. It helps isolate projects and thereby preventing unrequested changes in others, when any one of them is updated.
	67	+
	68	+We begin by creating a directory for our project.
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65		-**Slide** commands for inst
	72	+**Screencast** - terminal
	73	+\\(% style="color:#000000" %)cd ~~
	74	+mkdir pynn_project
	75	+cd pynn_project
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	78	+Next we shall create a virtual environment within this directory. Python 3 provides intrinsic support for creating virtual environments. Since Python 3.6, the recommended method of creating a new virtual environment is as follows:
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	82	+**Screencast** - terminal
	83	+\\(% style="color:#000000" %)python -m venv pynn_env
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	85	+
	86	+This will create a sub-directory named 'pynn_env' within our project directory, with several files and sub-directories. Let us take a look at the 'site-packages' directory.
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	90	+**Screencast** - file explorer
	91	+\\<< show directory contents; especially lib/python3.9/site-packages >>
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	93	+
	94	+As you see here, only a limited number of basic packages have currently been installed in this virtual environment. In the steps ahead, we shall install various other packages, and you shall see that these would be reflected here.
	95	+
	96	+Now that we have our project's virtual environment setup, we are now 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. Alternatively, this would need to be done manually as described on the PyNN website. In this tutorial, we will adopt the easier approach and begin by installing the simulators. For the purposes of this tutorial, we shall demonstrate the installation of Brian2, NEURON and NEST simulators.
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	98	+We start here with the installation of Brian2.
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	102	+**Screencast** - current state of editor
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69	69	(% class="box successmessage" %)
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71	71	**Slide** recap of learning objectives
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87	87	For more information visit neuralensemble.org/PyNN. If you have questions you can contact us through the PyNN Github project, the NeuralEnsemble forum, EBRAINS support, or the EBRAINS Community.
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	129	+[[https:~~/~~/realpython.com/python-virtual-environments-a-primer/>>https://realpython.com/python-virtual-environments-a-primer/]]