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Merge pull request miykael#106 from djarecka/quickstart_neuroimaging
adding the notebook used during ohbm18
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index.ipynb

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" the introduction section to familiarize yourself with the tools used in this tutorial and then move on to the\n",
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" basic concepts section to learn everything you need to know for your everyday life with Nipype. The workflow\n",
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" examples section shows you a real example how you can use Nipype to analyze an actual dataset. For a very \n",
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" quick non-imaging introduction, you can check the Nipype Quickstart notebook in the introduciton section.\n",
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" quick non-imaging introduction, you can check the Nipype Quickstart notebooks in the introduciton section.\n",
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" </p><p>\n",
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" All of the notebooks used in this tutorial can be found on <a href=\"https://github.com/miykael/nipype_tutorial\">github.com/miykael/nipype_tutorial</a>.\n",
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" But if you want to have the real experience and want to go through the computations by yourself, we highly\n",
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" <a class=\"subject-link pure-u-1-4\" target=\"_blank\" href=\"notebooks/introduction_python.ipynb\">Python</a>\n",
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" <a class=\"subject-link pure-u-1-4\" target=\"_blank\" href=\"notebooks/introduction_showcase.ipynb\">Nipype Showcase</a>\n",
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" <a class=\"subject-link pure-u-1-4\" target=\"_blank\" href=\"notebooks/introduction_quickstart.ipynb\">Nipype Quickstart</a>\n",
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" <a class=\"subject-link pure-u-1-4\" target=\"_blank\" href=\"notebooks/introduction_quickstart_non-neuroimaging.ipynb\">Nipype Quickstart (non-neuroimaging examples)</a>\n",
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" </div>\n",
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" <p>This section is meant as a general overview. It should give you a short introduction to the main topics that\n",
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" you need to understand to use Nipype and this tutorial. The section also contains a very short neuroimaging showcase, as well as as quick non-imaging introduction to Nipype workflows.</p>\n",
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" the introduction section to familiarize yourself with the tools used in this tutorial and then move on to the\n",
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" basic concepts section to learn everything you need to know for your everyday life with Nipype. The workflow\n",
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" examples section shows you a real example how you can use Nipype to analyze an actual dataset. For a very \n",
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" quick non-imaging introduction, you can check the Nipype Quickstart notebook in the introduciton section.\n",
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" quick non-imaging introduction, you can check the Nipype Quickstart notebooks in the introduciton section.\n",
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" </p><p>\n",
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" All of the notebooks used in this tutorial can be found on <a href=\"https://github.com/miykael/nipype_tutorial\">github.com/miykael/nipype_tutorial</a>.\n",
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" But if you want to have the real experience and want to go through the computations by yourself, we highly\n",
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" <a class=\"subject-link pure-u-1-4\" target=\"_blank\" href=\"notebooks/introduction_python.ipynb\">Python</a>\n",
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" <a class=\"subject-link pure-u-1-4\" target=\"_blank\" href=\"notebooks/introduction_showcase.ipynb\">Nipype Showcase</a>\n",
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" <a class=\"subject-link pure-u-1-4\" target=\"_blank\" href=\"notebooks/introduction_quickstart.ipynb\">Nipype Quickstart</a>\n",
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" <a class=\"subject-link pure-u-1-4\" target=\"_blank\" href=\"notebooks/introduction_quickstart_non-neuroimaging.ipynb\">Nipype Quickstart (non-neuroimaging examples)</a>\n",
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" </div>\n",
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" <p>This section is meant as a general overview. It should give you a short introduction to the main topics that\n",
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" you need to understand to use Nipype and this tutorial. The section also contains a very short neuroimaging showcase, as well as as quick non-imaging introduction to Nipype workflows.</p>\n",
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"</p>\n",
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"To inspect the html code of this page, click: <form action=\"javascript:code_toggle()\"><input type=\"submit\" value=\"Show HTML code\"></form>"
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]
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},
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{
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"cell_type": "code",
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"metadata": {},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {
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"anaconda-cloud": {},
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"kernelspec": {
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"display_name": "Python [default]",
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"display_name": "Python 3",
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"language": "python",
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"name": "python3"
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},
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.6.5"
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"version": "3.6.3"
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}
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},
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"nbformat": 4,

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