diff --git a/notebooks/02.02-The-Basics-Of-NumPy-Arrays.ipynb b/notebooks/02.02-The-Basics-Of-NumPy-Arrays.ipynb
index 39f6becb8..ca00adc6d 100644
--- a/notebooks/02.02-The-Basics-Of-NumPy-Arrays.ipynb
+++ b/notebooks/02.02-The-Basics-Of-NumPy-Arrays.ipynb
@@ -11,6 +11,24 @@
     "*The text is released under the [CC-BY-NC-ND license](https://creativecommons.org/licenses/by-nc-nd/3.0/us/legalcode), and code is released under the [MIT license](https://opensource.org/licenses/MIT). If you find this content useful, please consider supporting the work by [buying the book](http://shop.oreilly.com/product/0636920034919.do)!*"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# This is a trial cell\n",
+    "# O mamma mia"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# This is another a trial cell\n",
+    "# O mamma mia"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -60,20 +78,6 @@
     "We'll use NumPy's random number generator, which we will *seed* with a set value in order to ensure that the same random arrays are generated each time this code is run:"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import numpy as np2\n",
-    "np.random.seed(0)  # seed for reproducibility\n",
-    "\n",
-    "x1 = np2.random.randint(10, size=6)  # One-dimensional array\n",
-    "x2 = np2.random.randint(10, size=(3, 4))  # Two-dimensional array\n",
-    "x3 = np2.random.randint(10, size=(3, 4, 5))  # Three-dimensional array"
-   ]
-  },
   {
    "cell_type": "markdown",
    "metadata": {},