editing index.ipyb

djarecka · djarecka · commit b0f532d8fd4e · 2017-07-20T08:05:13.000-04:00
diff --git a/index.ipynb b/index.ipynb
@@ -2,7 +2,7 @@
  "cells": [
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@@ -23,25 +23,21 @@
        "    <div class=\"library-section\">\n",
        "      <div class=\"section-separator library-section-separator\">\n",
        "        <center><img src=\"static/images/logoNipype_tutorial.png\" width=700></center>\n",
-       "        <p>Welcome to the Nipype Tutorial! It covers the basic concepts and most common use cases of Nipype and will teach\n",
+       "        <p>Welcome to the Nipype Tutorial!\n",
+       "           This tutorial is based on <a href=\"https://github.com/miykael/nipype_tutorial\">Michael Notter's tutorial</a>, but it's updated to Python 3 and current version of Nipype.   \n",
+       "            It covers the basic concepts and most common use cases of Nipype and will teach\n",
        "            you everything so that you can start creating your own workflows in no time. We recommend that you start with\n",
        "            the introduction section to familiarize yourself with the tools used in this tutorial and then move on to the\n",
        "            basic concepts section to learn everything you need to know for your everyday life with Nipype. The workflow\n",
        "            examples section shows you a real example how you can use Nipype to analyze an actual dataset.\n",
        "            </p><p>\n",
-       "            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",
-       "            But if you want to have the real experience and want to go through the computations by yourself, we highly\n",
-       "            recommend you to do the <a href=\"https://github.com/miykael/nipype_course\">Nipype Course</a>. This course\n",
-       "            gives you the opportunity to adapt the commands to your liking and discover the flexibility and real power of\n",
-       "            Nipype yourself. For the tutorial, you need to install a <a href=\"http://www.docker.com/\">Docker</a> image on your system that provides you a \n",
-       "            neuroimaging environment based on a Debian system, with working Python software (including Nipype, dipy, matplotlib,\n",
-       "            nibabel, nipy, numpy, pandas, scipy, seaborn and more), FSL, AFNI, ANTs and SPM12 (no license needed). This\n",
-       "            neuroimaging environment is based on the docker images under <a href=\"https://github.com/miykael/nipype_env\">github.com/miykael/nipype_env</a>,\n",
-       "            which allow you to run toolboxes like FSL, AFNI and ANTs on any system, including Windows.\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",
        "            </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",
-       "            And if you haven't had enough and want to learn even more about Nipype and Neuroimaging, make sure to look at\n",
-       "            the <a href=\"https://miykael.github.io/nipype-beginner-s-guide/\">detailed beginner's guide</a>.\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",
        "      </div>\n",
        "\n",
@@ -127,12 +123,8 @@
        "$( document ).ready(code_toggle);\n",
        "</script>\n",
        "\n",
-       "<hr/>\n",
        "\n",
-       "<h2>You want to help with this tutorial?</h2>\n",
-       "<p>Find the github repo of this tutorial under <a href=\"https://github.com/miykael/nipype_course\">https://github.com/miykael/nipype_course</a>.\n",
-       "    Feel free to send a pull request or leave an <a href=\"https://github.com/miykael/nipype_tutorial/issues\">issue</a> with your feedback or ideas.\n",
-       "</p>\n",
+       "\n",
        "To inspect the html code of this page, click: <form action=\"javascript:code_toggle()\"><input type=\"submit\" value=\"Show HTML code\"></form>"
       ],
       "text/plain": [
@@ -155,25 +147,21 @@
     "    <div class=\"library-section\">\n",
     "      <div class=\"section-separator library-section-separator\">\n",
     "        <center><img src=\"static/images/logoNipype_tutorial.png\" width=700></center>\n",
-    "        <p>Welcome to the Nipype Tutorial! It covers the basic concepts and most common use cases of Nipype and will teach\n",
+    "        <p>Welcome to the Nipype Tutorial!\n",
+    "           This tutorial is based on <a href=\"https://github.com/miykael/nipype_tutorial\">Michael Notter's tutorial</a>, but it's updated to Python 3 and current version of Nipype.   \n",
+    "            It covers the basic concepts and most common use cases of Nipype and will teach\n",
     "            you everything so that you can start creating your own workflows in no time. We recommend that you start with\n",
     "            the introduction section to familiarize yourself with the tools used in this tutorial and then move on to the\n",
     "            basic concepts section to learn everything you need to know for your everyday life with Nipype. The workflow\n",
     "            examples section shows you a real example how you can use Nipype to analyze an actual dataset.\n",
     "            </p><p>\n",
-    "            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",
-    "            But if you want to have the real experience and want to go through the computations by yourself, we highly\n",
-    "            recommend you to do the <a href=\"https://github.com/miykael/nipype_course\">Nipype Course</a>. This course\n",
-    "            gives you the opportunity to adapt the commands to your liking and discover the flexibility and real power of\n",
-    "            Nipype yourself. For the tutorial, you need to install a <a href=\"http://www.docker.com/\">Docker</a> image on your system that provides you a \n",
-    "            neuroimaging environment based on a Debian system, with working Python software (including Nipype, dipy, matplotlib,\n",
-    "            nibabel, nipy, numpy, pandas, scipy, seaborn and more), FSL, AFNI, ANTs and SPM12 (no license needed). This\n",
-    "            neuroimaging environment is based on the docker images under <a href=\"https://github.com/miykael/nipype_env\">github.com/miykael/nipype_env</a>,\n",
-    "            which allow you to run toolboxes like FSL, AFNI and ANTs on any system, including Windows.\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",
     "            </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",
-    "            And if you haven't had enough and want to learn even more about Nipype and Neuroimaging, make sure to look at\n",
-    "            the <a href=\"https://miykael.github.io/nipype-beginner-s-guide/\">detailed beginner's guide</a>.\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",
     "      </div>\n",
     "\n",
@@ -261,43 +249,30 @@
     "\n",
     "<hr/>\n",
     "\n",
-    "<h2>You want to help with this tutorial?</h2>\n",
-    "<p>Find the github repo of this tutorial under <a href=\"https://github.com/miykael/nipype_course\">https://github.com/miykael/nipype_course</a>.\n",
-    "    Feel free to send a pull request or leave an <a href=\"https://github.com/miykael/nipype_tutorial/issues\">issue</a> with your feedback or ideas.\n",
-    "</p>\n",
     "To inspect the html code of this page, click: <form action=\"javascript:code_toggle()\"><input type=\"submit\" value=\"Show HTML code\"></form>"
    ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": []
   }
  ],
  "metadata": {
   "anaconda-cloud": {},
   "kernelspec": {
-   "display_name": "Python [default]",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
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+    "version": 3
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    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
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+   "pygments_lexer": "ipython3",
+   "version": "3.5.2"
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