running cells from index

djarecka · djarecka · commit d532e5c25784 · 2017-07-31T20:45:24.000-04:00
diff --git a/index.ipynb b/index.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 1,
    "metadata": {
     "collapsed": false,
     "deletable": true,
@@ -33,9 +33,8 @@
        "            </p><p>\n",
        "            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",
        "            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",
-       "            neuroimaging environment based on a Debian system, with working Python 3 software (including Nipype, dipy, matplotlib,\n",
-       "            nibabel, nipy, numpy, pandas, scipy, seaborn and more), FSL, AFNI, ANTs and SPM12 (no license needed). \n",
-       "            TODO\n",
+       "            neuroimaging environment based on a Debian system, with working Python 3 software (including Nipype, matplotlib,\n",
+       "            nibabel, numpy, pandas, scipy, and more), FSL, AFNI, ANTs and SPM12 (no license needed).\n",
        "            </p><p>\n",
        "            For everything that isn't covered in this tutorial, check out the <a href=\"http://nipype.readthedocs.io/en/latest/\">main homepage</a>. \n",
        "            </p>\n",
@@ -263,7 +262,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.2"
+   "version": "3.5.2"
   }
  },
  "nbformat": 4,
