Changes for page 02. Installing PyNN - Linux
Last modified by adavison on 2022/10/04 13:53
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... ... @@ -56,128 +56,49 @@ 56 56 **Slide** listing prerequisites 57 57 ))) 58 58 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. Also, the tutorial will focus only on Python 3, as Python 2 has now been deprecated. It is recommended to use Python version 3.6 or higher. I would be using Python 3.9.7 in this tutorial.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. 60 60 61 -(% class="box infomessage" %) 62 -((( 63 -**Screencast** - terminal 64 -))) 61 +=== Description, explanation, and practice === 65 65 66 - We shall make use of virtual environments 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.63 +. 67 67 68 - Webeginbycreatingadirectoryforourproject.65 +=== Summary (In this tutorial, you have learned to do X…) === 69 69 70 -(% class="box infomessage" %) 71 -((( 72 -**Screencast** - terminal 73 -\\(% style="color:#000000" %)cd ~~ 74 -mkdir pynn_project 75 -cd pynn_project 76 -))) 67 +. 77 77 78 - Nextwe shallcreate a virtual environmentwithin this directory. Python 3 provides intrinsic support for creatingvirtualenvironments.SincePython 3.6, therecommended method of creatinganew virtualenvironmentis as follows:69 +=== Acknowledgements if appropriate === 79 79 80 -(% class="box errormessage" %) 81 -((( 82 -**Note:** 83 -For older versions of Python 3, you might require to manually install `python3-venv` package before being able to run the below command. To install, run: 84 -\\sudo apt-get install python3-venv 85 -\\More recent versions of Python 3 (e.g. v3.9) already have this pre-installed. 86 -))) 71 +. 87 87 88 -(% class="box infomessage" %) 89 -((( 90 -**Screencast** - terminal 91 -\\(% style="color:#000000" %)python -m venv pynn_env 92 -))) 73 +=== References to websites (For more information, visit us at…) === 93 93 94 - This will create a sub-directory named 'pynn_env' within our project directory, with several files and sub-directories.Let us take a look at the 'site-packages' directory.75 +. 95 95 96 -(% class="box infomessage" %) 97 -((( 98 -**Screencast** - file explorer 99 -\\(% style="color:#000000" %)<< show directory contents; especially lib/python3.9/site-packages >> 100 -))) 77 +=== Contact information (For questions, contact us at…) === 101 101 102 - As you see here, only a limited number of basic packages have currently been installed in this virtual environment.In the steps ahead, we shall install various other packages, and you shall see that these would be reflected here.79 +. 103 103 104 -To enter into this virtual environment, and thereby use its resources in isolation from other projects on your computer, we require to "activate" it. This is achieved by running the command: 105 105 106 -(% class="box infomessage" %) 107 -((( 108 -**Screencast** - terminal 109 -\\(% style="color:#000000" %)source pynn_env/bin/activate 110 -))) 82 +~(% class="box successmessage" %) 83 +~(~(~( 84 +~*~*Slide~*~* recap of learning objectives 85 +~)~)~) 111 111 112 -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. 113 113 114 - Now thatwehaveourproject'svirtualenvironmentsetup,wearenowreadyto install PyNN and other simulators.Ingeneral,itisadvisabletoinstall thevarioussimulators (especiallyNEURON and NEST) priortoinstalling PyNN, because PyNN willthenauto compile NEURON's NMODL fles andNEST'sextensions duringinstallation.Alternatively,this would needtobe donemanuallyasdescribedonhePyNNwebsite. In this tutorial,we will adoptthe easierapproachand begin by installing the simulators. Forthepurposes of this tutorial,we shall demonstrateheinstallation of Brian2, NEURON and NEST simulators.88 +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. 115 115 116 -We start here with the installation of Brian2. Brian2 can be installed simply using the pip command. 117 117 118 -(% class="box infomessage" %) 119 -((( 120 -**Screencast** - terminal 121 -\\(% style="color:#000000" %)pip install brian2 122 -))) 91 +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. 123 123 124 -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. 125 125 126 -(% class="box infomessage" %) 127 -((( 128 -**Screencast** - file explorer 129 -\\(% style="color:#000000" %)<< show directory contents lib/python3.9/site-packages >> 130 -))) 94 +~(% class="box successmessage" %) 95 +~(~(~( 96 +~*~*Slide~*~* acknowledgements, contact information 97 +~)~)~) 131 131 132 -To confirm that we have properly installed Brian2 on our computer, we can test as follows: 133 133 134 -(% class="box infomessage" %) 135 -((( 136 -**Screencast** - terminal 137 -\\(% style="color:#000000" %)python 138 -\\import brian2 139 -\\exit() 140 -))) 141 - 142 -If there are no error messages here, and the import is successful, then we have completed installing Brian2. 143 - 144 - 145 -We shall now move on to install the NEST simulator. Unlike Brian2, NEST is not a Python package and therefore its installation is a bit more involved. We shall install the NEST module along with PyNEST, which is a Python interface for controlling the NEST kernel. 146 - 147 -We first install the NEST module. Version 2.20 is currently supported by PyNN, and it is likely that other versions of NEST might have issues when used with the current 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. 148 - 149 -(% class="box infomessage" %) 150 -((( 151 -**Screencast** - terminal 152 -\\(% style="color:#000000" %)sudo add-apt-repository ppa:nest-simulator/nest 153 -sudo apt-get update 154 -\\sudo apt-get install nest 155 -))) 156 - 157 -At this point, we have installed the NEST module, but it is still not usable via Python. To do so, we next install PyNEST. 158 - 159 - 160 - 161 -(% class="box successmessage" %) 162 -((( 163 -**Slide** recap of learning objectives 164 -))) 165 - 166 -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. 167 - 168 -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. 169 - 170 -(% class="box successmessage" %) 171 -((( 172 -**Slide** acknowledgements, contact information 173 -))) 174 - 175 -(% class="wikigeneratedid" %) 100 +~(% class="wikigeneratedid" %) 176 176 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. 177 177 178 -(% class="wikigeneratedid" %) 103 +~(% class="wikigeneratedid" %) 179 179 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. 180 - 181 - 182 -(% class="wikigeneratedid" %) 183 -[[https:~~/~~/realpython.com/python-virtual-environments-a-primer/>>https://realpython.com/python-virtual-environments-a-primer/]]