ENH: more complete introduction

Author: miykael

index.ipynb

@@ -22,17 +22,27 @@
        "    <a id=\"library-section\"></a>\n",
        "    <div class=\"library-section\">\n",
        "      <div class=\"section-separator library-section-separator\">\n",
-       "        <h2><span class=\"section-separator-text\">Nipype Tutorial</span></h2><hr/>\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",
-       "            you everything so that you can start creating your own workflows in no time. For everything that isn't covered\n",
-       "            here, check out the main homepage (<a href=\"http://nipype.readthedocs.io/en/latest/\">nipype.readthedocs.io</a>),\n",
-       "            the interactive tutorial (<a href=\"https://github.com/miykael/nipype_tutorial\">github.com/miykael/nipype_tutorial</a>) \n",
-       "            or the detailed beginner's guide (<a href=\"https://miykael.github.io/nipype-beginner-s-guide/\">miykael.github.io/nipype-beginner-s-guide/</a>).\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",
-       "            This tutorial uses Docker (<a href=\"www.docker.com/\">www.docker.com</a>) to provide a fully functional \n",
-       "            Nipype environment with working FSL, AFNI, SPM12 and ANTs. Docker has the advantage that we can provide \n",
-       "            the exact same environment for user with Windows, OSX or Linux. For more information about the Dockerfile \n",
-       "            and data used in this course, see <a href=\"https://github.com/miykael/nipype_course\">github.com/miykael/nipype_course</a>.</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=\"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",
+       "            </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",
+       "            </p>\n",
        "      </div>\n",
        "\n",
        "      <!--Comment: to change the color of the title or section, change the second h2 class argument and the third div\n",
@@ -140,17 +150,27 @@
     "    <a id=\"library-section\"></a>\n",
     "    <div class=\"library-section\">\n",
     "      <div class=\"section-separator library-section-separator\">\n",
-    "        <h2><span class=\"section-separator-text\">Nipype Tutorial</span></h2><hr/>\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",
-    "            you everything so that you can start creating your own workflows in no time. For everything that isn't covered\n",
-    "            here, check out the main homepage (<a href=\"http://nipype.readthedocs.io/en/latest/\">nipype.readthedocs.io</a>),\n",
-    "            the interactive tutorial (<a href=\"https://github.com/miykael/nipype_tutorial\">github.com/miykael/nipype_tutorial</a>) \n",
-    "            or the detailed beginner's guide (<a href=\"https://miykael.github.io/nipype-beginner-s-guide/\">miykael.github.io/nipype-beginner-s-guide/</a>).\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=\"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",
     "            </p><p>\n",
-    "            This tutorial uses Docker (<a href=\"www.docker.com/\">www.docker.com</a>) to provide a fully functional \n",
-    "            Nipype environment with working FSL, AFNI, SPM12 and ANTs. Docker has the advantage that we can provide \n",
-    "            the exact same environment for user with Windows, OSX or Linux. For more information about the Dockerfile \n",
-    "            and data used in this course, see <a href=\"https://github.com/miykael/nipype_course\">github.com/miykael/nipype_course</a>.</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",
+    "            </p>\n",
     "      </div>\n",
     "\n",
     "      <!--Comment: to change the color of the title or section, change the second h2 class argument and the third div\n",
@@ -239,15 +259,6 @@
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