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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 Brian 2, NEST, and NEURON 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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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		-Before we proceed, let us run the following commands to ensure that our environment is setup as required:
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131		-**Screencast** - terminal
132		-\\(% style="color:#000000" %)\\pip install ~-~-upgrade pip
133		-sudo apt install make
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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.
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300	300	This confirms that all the required software packages have been successfully completed and are functioning as expected.
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302		-As a last step, we will install a Python package named 'matplotlib' that would come in handy in the tutorials ahead.
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306		-**Screencast** - terminal
307		-\\(% style="color:#000000" %)pip install matplotlib
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312	312	**Slide** recap of learning objectives