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37	37	**Slide** listing learning objectives
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40		-In this tutorial, I will guide you through setting up PyNN, together with the NEST, NEURON, and Brian 2 simulators, on 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.
	40	+In this tutorial, I will guide you through setting up PyNN, together with the Brian 2, NEST, and NEURON, and simulators, on 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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69	69	cd pynn_project
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72		-Next, we will create a virtual environment within this directory. Python 3 provides support for creating virtual environments. Since Python 3.6, the recommended method to create a new virtual environment is as follows.
	72	+Next, we will create a virtual environment within this directory. Python 3 provides support for creating virtual environments. Since Python 3.6, the recommended method for creating a new virtual environment is as follows.
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123	123	You might be required to run the above command every time you open a new terminal window. Check that the terminal command prompt indicates the name of your virtual environment to confirm that you have indeed activated it.
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126		-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, NEURON, and NEST simulators.
	126	+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.
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169	169	We will now move on to install the NEST simulator. Unlike Brian 2, NEST is not a Python package and therefore, it cannot be installed via the 'pip' command.
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171		-At the time of creating this tutorial, the latest version of NEST is v3.1. This is currently supported by PyNN v0.10, and it is likely that other versions of NEST will potentially be incompatible with this version of PyNN. The installation is done by first adding the PPA repository for NEST and updating apt, followed by the installation of NEST itself.
	171	+At the time of creating this tutorial, the latest version of NEST is v3.1. This is currently supported by PyNN v0.10, and it is likely that other versions of NEST are potentially incompatible with this version of PyNN. The installation is done by first adding the PPA repository for NEST and updating apt, followed by the installation of NEST itself.
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186	186	\\(% style="color:#000000" %)nest
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189		-This will display the NEST banner, which mentions the version amongst other info. Here, as we can see, we have now installed NEST v3.1 on our system. Let us next verify that this is indeed accessible via Python.
	189	+This will display the NEST banner, which mentions the version amongst other info. Here, as we can see, we have now installed NEST v3.1 on our system. Next, let's verify that this is indeed accessible via Python.
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