diff --git a/section-2-data-science-and-ml-tools/pandas-exercises-solutions.ipynb b/section-2-data-science-and-ml-tools/pandas-exercises-solutions.ipynb
index 991256604..36cc8af71 100644
--- a/section-2-data-science-and-ml-tools/pandas-exercises-solutions.ipynb
+++ b/section-2-data-science-and-ml-tools/pandas-exercises-solutions.ipynb
@@ -1204,8 +1204,7 @@
    ],
    "source": [
     "# Group columns of the car sales DataFrame by the Make column and find the average\n",
-    "car_sales.groupby(["Make"]).mean(numeric_only=True)"
-   ]
+    "car_sales.groupby([\"Make\"]).mean(numeric_only=True)" ]
   },
   {
    "cell_type": "code",