diff --git a/book/features/widgets.ipynb b/book/features/widgets.ipynb
index 369c08b..f63bbcc 100644
--- a/book/features/widgets.ipynb
+++ b/book/features/widgets.ipynb
@@ -6,7 +6,35 @@
    "source": [
     "# Widgets\n",
     "\n",
-    "If you publish widgets in a jupyter book they might (depending on your implementation) require an active python kernel for the output to be interactive. Using the [thebe-integration](live_code.md), this is possible. Note: You can circumvent the use of a kernel by using packages which don't need such a kernel, for example the [non-kernel-based widgets using Plotly](interactive_element)."
+    "If you publish widgets in a jupyter book they might (depending on your implementation) require an active python kernel for the output to be interactive. Using the [thebe-integration](live_code.md), this is possible. Note: You can circumvent the use of a kernel by using packages which don't need such a kernel, for example the [non-kernel-based widgets using Plotly](interactive_element).\n",
+    "\n",
+    "## `matplotlib` widgets\n",
+    "When you'd like to use `ipywidgets` in combinations with a `matplotlib` figure, import the following packages:\n",
+    "```{python}\n",
+    "import ipywidgets as widgets\n",
+    "import micropip\n",
+    "await micropip.install(\"ipympl\")\n",
+    "```\n",
+    "Activate the correct output format:\n",
+    "```{python}\n",
+    "%matplotlib widget\n",
+    "```\n",
+    "\n",
+    "Write the code which generates your plot in a function:\n",
+    "```{python}\n",
+    "fig = plt.figure()  # Define the figure once\n",
+    "ax = fig.add_subplot(1,1,1)       # Define the axis once\n",
+    "\n",
+    "def update_plot(input_variables_from_widget):\n",
+    "    ax.clear()   # Clear the existing plot\n",
+    "    ax.plot(x,y) # Plot your actual data\n",
+    "    plt.draw()   # Update the plot whenever this function is executed\n",
+    "```\n",
+    "Initiate the widget:\n",
+    "```{python}\n",
+    "input_slider = widgets.FloatSlider(value=0, min=0, max=10, step=1, description='Input variable:') # Defines a widget, more options than just FloatSlider\n",
+    "widgets.interact(update_plot, input_variable_from_widget = input_slider);\n",
+    "```\n"
    ]
   },
   {