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101	101	\\(% style="color:#000000" %)source pynn_env/bin/activate
102	102	)))
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	104	+Notice how this changes the command prompt to show the name of your virtual environment. In our case, we had named it 'pynn_env', and this is now reflected as a prefix to the command prompt. This confirms that we are now in our new virtual environment.
	105	+
104	104	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.
105	105
106		-We start here with the installation of Brian2.
	108	+We start here with the installation of Brian2. Brian2 can be installed simply using the pip command.
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108	108	(% class="box infomessage" %)
109	109	(((
110	110	**Screencast** - terminal
111		-
	113	+\\(% style="color:#000000" %)pip install brian2
112	112	)))
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	116	+This will install Brian2, along with all its dependencies such as 'cython', 'numpy', etc. We can now go back into our virtual environment's 'site-packages' directory to see how it is now populated with all these packages.
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	118	+To confirm that we have properly installed Brian2 on our computer, we can test as follows:
	119	+
	120	+(% class="box infomessage" %)
	121	+(((
	122	+**Screencast** - terminal
	123	+\\(% style="color:#000000" %)python
	124	+\\import brian2
	125	+brian2.test()
	126	+)))
	127	+
	128	+(% class="box infomessage" %)
	129	+(((
	130	+**Screencast** - file explorer
	131	+\\(% style="color:#000000" %)<< show directory contents lib/python3.9/site-packages >>
	132	+)))
	133	+
115	115	(% class="box successmessage" %)
116	116	(((
117	117	**Slide** recap of learning objectives