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112	112	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.
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	114	+(% class="box warningmessage" %)
	115	+(((
	116	+**Note:**
	117	+\\You might be required to run the above command every time you open a new terminal window. Do verify that the terminal command prompt indicates the name of your virtual environment to confirm that you have indeed activated it.
	118	+)))
	119	+
114	114	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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116	116	We start here with the installation of Brian 2. Brian 2 can be installed simply using the pip command.
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153	153	\\sudo apt-get install nest
154	154	)))
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156		-This installs the NEST module along with PyNEST, which is a Python interface for controlling the NEST kernel. This allows us to use NEST via Python. To confirm that we have properly installed Brian 2 on our computer, we can test as follows:
	162	+This installs the NEST module along with PyNEST, which is a Python interface for controlling the NEST kernel. This allows us to use NEST via Python. To confirm that we have properly installed NEST on our computer, we can test as follows:
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158	158	(% class="box infomessage" %)
159	159	(((
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161	161	\\(% style="color:#000000" %)nest
162	162	)))
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164		-A
	170	+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.
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166	166	(% class="box infomessage" %)
167	167	(((
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171	171	\\exit()
172	172	)))
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174		-If there are no error messages here, and the import is successful, then we have completed installing NEST simulator.
	180	+(% class="box warningmessage" %)
	181	+(((
	182	+**Note:**
	183	+\\I find that I receive a "no module named nest" error, when trying this right after installing NEST. But it succeeds after a restart. So if you do observe an error, close all programs and restart your computer, and try again. This time it should execute as expected.
	184	+)))
175	175
176		-We next move on to the third simulation, NEURON. The installation for NEURON is a bit more involved.
	186	+If there are no error messages here, and the import is successful, then we have completed installing NEST simulator, and are able to load it on Python.
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178		-<< add more >>
	188	+We next move on to the third simulator, NEURON. The installation for NEURON used to be more involved previously, but can now be easily completed using the 'pip' command:
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	190	+(% class="box infomessage" %)
	191	+(((
	192	+**Screencast** - terminal
	193	+\\(% style="color:#000000" %)pip install neuron
	194	+)))
	195	+
	196	+This installs the NEURON simulator on your system. To confirm that we have properly installed NEURON, we can test as follows:
	197	+
	198	+(% class="box infomessage" %)
	199	+(((
	200	+**Screencast** - terminal
	201	+\\(% style="color:#000000" %)nrngui
	202	+)))
	203	+
	204	+This will display the NEURON banner, which mentions the version amongst other info. Here, as we can see, we have now installed NEURON v8.0.0 on our system. Let us next verify that this is indeed accessible via Python.
	205	+
	206	+(% class="box infomessage" %)
	207	+(((
	208	+**Screencast** - terminal
	209	+\\(% style="color:#000000" %)python3
	210	+\\from neuron import h
	211	+\\exit()
	212	+)))
	213	+
	214	+
	215	+
180	180	(% class="box successmessage" %)
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182	182	**Slide** recap of learning objectives