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59	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.
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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.
	61	+=== Description, explanation, and practice ===
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65		-**Slide** commands for inst
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	65	+=== Summary (In this tutorial, you have learned to do X…) ===
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71		-**Slide** recap of learning objectives
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74		-That is the end of this tutorial, in which I've demonstrated how to install PyNN, and other required simulators, in a Linux system. You are now ready to start modeling! To learn about model development in PyNN, do take a look at our next tutorial.
	69	+=== Acknowledgements if appropriate ===
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76		-Als,  we will be releasing a series of tutorials, throughout the rest of 2021 and 2022, to introduce these more advanced features of PyNN, so keep an eye on the EBRAINS website.
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80		-**Slide** acknowledgements, contact information
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	73	+=== References to websites (For more information, visit us at…) ===
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84		-PyNN has been developed by many different people, with financial support from several different organisations. I'd like to mention in particular the CNRS and the European Commission, through the FACETS, BrainScaleS and Human Brain Project grants.
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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.
	77	+=== Contact information (For questions, contact us at…) ===
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