diff --git a/Dockerfile b/Dockerfile
index fadca36..f5cc0bc 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -2,7 +2,7 @@
 # Build a Jupyter Stack specific for my Python for Everyone class. 
 #
 
-FROM docker.io/jupyter/scipy-notebook:hub-4.0.2
+FROM quay.io/jupyter/scipy-notebook:lab-4.2.4
 USER root
 RUN apt update -y && apt install -y openssh-client wamerican tree && apt clean -y
 USER $NB_UID
@@ -11,9 +11,9 @@ RUN pip install -r requirements.txt
 
 # Autoload my extensions.
 RUN ipython profile create default
-COPY <<EOF ${HOME}/.ipython/profile_default/ipython_config.py
-c = get_config()  # noqa: F821
-c.InteractiveShellApp.extensions.append('doctags')
-EOF
+#COPY <<EOF ${HOME}/.ipython/profile_default/ipython_config.py
+#c = get_config()  # noqa: F821
+#c.InteractiveShellApp.extensions.append('doctags')
+#EOF
 
 ENV JUPYTER_ENABLE_LAB yes
diff --git a/Lessons/02_using_the_turtle.ipynb b/Lessons/02_using_the_turtle.ipynb
index d57a3b3..3f8ca99 100644
--- a/Lessons/02_using_the_turtle.ipynb
+++ b/Lessons/02_using_the_turtle.ipynb
@@ -444,56 +444,6 @@
     "tu.move(20)"
    ]
   },
-  {
-   "attachments": {},
-   "cell_type": "markdown",
-   "metadata": {
-    "tags": []
-   },
-   "source": [
-    "## Face Recognition \n",
-    "\n",
-    "The turtle is capable of recognizing faces in the image loaded into the canvas. The `find_face` function returns a `list` with information about each of the faces that it found. Each list contains a `dict` with landmarks in the face."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "tu.new()\n",
-    "tu.background(\"images/forrest_gump.jpeg\")\n",
-    "\n",
-    "faces = tu.find_faces()\n",
-    "face = faces[0] # The first face in the list \n",
-    "\n",
-    "# Draw a box around the face. The top/bottom, left_right\n",
-    "# landmarks show us where the face was found and contain \n",
-    "# a single point.\n",
-    "tu.width = 2\n",
-    "tu.color = 'yellow'\n",
-    "tu.pen_up()\n",
-    "tu.pos = face['top_right']\n",
-    "tu.pen_down()\n",
-    "tu.pos = face['top_left']\n",
-    "tu.pos = face['bottom_left']\n",
-    "tu.pos = face['bottom_right']\n",
-    "tu.pos = face['top_right']\n",
-    "\n",
-    "# The feature landmarks are outlines of facial features. \n",
-    "tu.color = 'red'\n",
-    "tu.fill = 'orange'\n",
-    "\n",
-    "tu.pen_up()\n",
-    "tu.pos = face['top_lip'][0]\n",
-    "tu.pen_down()\n",
-    "with tu.polygon():\n",
-    "    for dot in face['top_lip']:\n",
-    "        tu.pos = dot\n",
-    "    \n"
-   ]
-  },
   {
    "attachments": {},
    "cell_type": "markdown",