ENH: some small changes

miykael · miykael · commit c2d6b0d13584 · 2017-03-06T22:46:14.000+01:00
diff --git a/notebooks/basic_iteration.ipynb b/notebooks/basic_iteration.ipynb
@@ -9,27 +9,12 @@
    "source": [
     "<img src=\"../static/images/iterables.png\"  width=\"240\">\n",
     "\n",
-    "# Iterables\n"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {
-    "deletable": true,
-    "editable": true
-   },
-   "source": [
-    "Some steps in a neuroimaging analysis are repetitive. Running the same preprocessing on multiple subjects or doing statistical inference on multiple files. To prevent the creation of multiple individual scripts, Nipype has as execution plugin, called **``iterables``**. (The main homepage has a [nice section](http://nipype.readthedocs.io/en/latest/users/mapnode_and_iterables.html) about ``MapNode`` and ``iterables`` if you want to learn more)."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {
-    "collapsed": true,
-    "deletable": true,
-    "editable": true
-   },
-   "source": [
+    "# Iterables\n",
+    "\n",
+    "Some steps in a neuroimaging analysis are repetitive. Running the same preprocessing on multiple subjects or doing statistical inference on multiple files. To prevent the creation of multiple individual scripts, Nipype has as execution plugin, called **``iterables``**.\n",
+    "\n",
+    "The main homepage has a [nice section](http://nipype.readthedocs.io/en/latest/users/mapnode_and_iterables.html) about ``MapNode`` and ``iterables`` if you want to learn more. Also, if you are interested in more advanced procedures, such as synchronizing multiple iterables or using conditional iterables, check out [synchronize and intersource](http://nipype.readthedocs.io/en/latest/users/joinnode_and_itersource.html#synchronize).\n",
+    "\n",
     "For example, let's assume we have a node (A) that does simple skull stripping, followed by a node (B) that does isometric smoothing. Now, let's say, that we are curious about the effect of different smoothing kernels. Therefore, we want to run the smoothing node with FWHM set to 2mm, 8mm and 16mm."
    ]
   },
