|
2 | 2 | "cells": [
|
3 | 3 | {
|
4 | 4 | "cell_type": "code",
|
5 |
| - "execution_count": 1, |
| 5 | + "execution_count": 5, |
6 | 6 | "metadata": {
|
7 | 7 | "collapsed": false,
|
8 | 8 | "deletable": true,
|
|
31 | 31 | " basic concepts section to learn everything you need to know for your everyday life with Nipype. The workflow\n",
|
32 | 32 | " examples section shows you a real example how you can use Nipype to analyze an actual dataset.\n",
|
33 | 33 | " </p><p>\n",
|
34 |
| - " All of the notebooks used in this tutorial can be found on <a href=\"https://github.com/djarecka/nipype_tutorial\">github.com/djarecka/nipype_tutorial</a>.\n", |
| 34 | + " All of the notebooks used in this tutorial can be found on <a href=\"https://github.com/djarecka/nipype_tutorial/tree/updates_py3_nipype0.13.1\">github.com/djarecka/nipype_tutorial</a>\n", |
| 35 | + " (you can clone the specific branch used in the tutorial: `git clone -b updates_py3_nipype0.13.1 --single-branch https://github.com/djarecka/nipype_tutorial.git`).\n", |
| 36 | + " </p><p>\n", |
35 | 37 | " For the tutorial, we will use a Docker container. You need to install a <a href=\"http://www.docker.com/\">Docker</a> and download a docker image that provides you a \n",
|
36 | 38 | " neuroimaging environment based on a Debian system, with working Python 3 software (including Nipype, matplotlib,\n",
|
37 | 39 | " nibabel, numpy, pandas, scipy, and more), FSL, AFNI, ANTs and SPM12 (no license needed).\n",
|
|
151 | 153 | " basic concepts section to learn everything you need to know for your everyday life with Nipype. The workflow\n",
|
152 | 154 | " examples section shows you a real example how you can use Nipype to analyze an actual dataset.\n",
|
153 | 155 | " </p><p>\n",
|
154 |
| - " All of the notebooks used in this tutorial can be found on <a href=\"https://github.com/djarecka/nipype_tutorial\">github.com/djarecka/nipype_tutorial</a>.\n", |
| 156 | + " All of the notebooks used in this tutorial can be found on <a href=\"https://github.com/djarecka/nipype_tutorial/tree/updates_py3_nipype0.13.1\">github.com/djarecka/nipype_tutorial</a>\n", |
| 157 | + " (you can clone the specific branch used in the tutorial: `git clone -b updates_py3_nipype0.13.1 --single-branch https://github.com/djarecka/nipype_tutorial.git`).\n", |
| 158 | + " </p><p>\n", |
155 | 159 | " For the tutorial, we will use a Docker container. You need to install a <a href=\"http://www.docker.com/\">Docker</a> and download a docker image that provides you a \n",
|
156 | 160 | " neuroimaging environment based on a Debian system, with working Python 3 software (including Nipype, matplotlib,\n",
|
157 | 161 | " nibabel, numpy, pandas, scipy, and more), FSL, AFNI, ANTs and SPM12 (no license needed).\n",
|
|
243 | 247 | "\n",
|
244 | 248 | "To inspect the html code of this page, click: <form action=\"javascript:code_toggle()\"><input type=\"submit\" value=\"Show HTML code\"></form>"
|
245 | 249 | ]
|
| 250 | + }, |
| 251 | + { |
| 252 | + "cell_type": "code", |
| 253 | + "execution_count": null, |
| 254 | + "metadata": {}, |
| 255 | + "outputs": [], |
| 256 | + "source": [] |
246 | 257 | }
|
247 | 258 | ],
|
248 | 259 | "metadata": {
|
|
0 commit comments