diff --git a/pandas-reset-index/Main_Code.ipynb b/pandas-reset-index/Main_Code.ipynb
index 955a2a6c5d..0fc2592f49 100644
--- a/pandas-reset-index/Main_Code.ipynb
+++ b/pandas-reset-index/Main_Code.ipynb
@@ -15,7 +15,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "!Python -m pip install pandas pyarrow"
+    "!python -m pip install pandas pyarrow"
    ]
   },
   {
@@ -381,9 +381,11 @@
    "id": "a822bb24-af5b-47d1-b51e-0d93a419e95f",
    "metadata": {},
    "source": [
-    "# This code will fail due to the duplicate index.\n",
+    "> The following code will fail due to the duplicate index.\n",
     "\n",
-    "all_beach_boys.loc[3:4]"
+    "```\n",
+    "all_beach_boys.loc[3:4]\n",
+    "```"
    ]
   },
   {
@@ -411,9 +413,11 @@
    "id": "cf30ce38-8b34-426b-801d-4329a19b36e8",
    "metadata": {},
    "source": [
-    "# This code will fail due to the duplicate index.\n",
+    "> The following code will fail due to the duplicate index:\n",
     "\n",
-    "all_beach_boys.filter(items=[1, 3], axis=\"index\")"
+    "```\n",
+    "all_beach_boys.filter(items=[1, 3], axis=\"index\")\n",
+    "```"
    ]
   },
   {
@@ -445,7 +449,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "beach_boys.index = [f\"Employee_{x}\" for x in range(len(beach_boys))]\n",
+    "beach_boys.index = [f\"Employee_{x + 1}\" for x in range(len(beach_boys))]\n",
     "beach_boys"
    ]
   },
@@ -456,7 +460,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "beach_boys.loc[[\"Employee_3\"]]"
+    "beach_boys.loc[[\"Employee_4\"]]"
    ]
   },
   {
@@ -631,7 +635,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.12.0"
+   "version": "3.12.7"
   }
  },
  "nbformat": 4,
diff --git a/pandas-reset-index/README.md b/pandas-reset-index/README.md
index e568286d6e..5e55c857a1 100644
--- a/pandas-reset-index/README.md
+++ b/pandas-reset-index/README.md
@@ -1,6 +1,6 @@
 # How to Reset a pandas DataFrame Index
 
-These are the download files you can use with the Real Python tutorial [How to Reset a pandas DataFrame Index](https://realpython.com/how-to-pandas-reset-index-dataframe/):
+These are the download files you can use with the Real Python tutorial [How to Reset a pandas DataFrame Index](https://realpython.com/pandas-reset-index/):
 
 - `Main_Code.ipynb` contains the main code from the tutorial.
 - `Solutions.ipynb` contains sample solutions to the various exercises.
diff --git a/pandas-reset-index/Solutions.ipynb b/pandas-reset-index/Solutions.ipynb
index f0663606ab..4e6475ce60 100644
--- a/pandas-reset-index/Solutions.ipynb
+++ b/pandas-reset-index/Solutions.ipynb
@@ -48,14 +48,16 @@
     "\n",
     "import pandas as pd\n",
     "\n",
-    "beach_boys = pd.read_csv(\n",
-    "    \"band_members.csv\",\n",
-    "    parse_dates=[\"date_of_birth\"],\n",
-    "    dayfirst=True,\n",
-    ").convert_dtypes(dtype_backend=\"pyarrow\")\n",
-    "\n",
-    "beach_boys = beach_boys.assign(\n",
-    "    date_of_birth=beach_boys[\"date_of_birth\"].dt.date\n",
+    "beach_boys = (\n",
+    "    pd.read_csv(\n",
+    "        \"band_members.csv\",\n",
+    "        parse_dates=[\"date_of_birth\"],\n",
+    "        dayfirst=True,\n",
+    "    )\n",
+    "    .convert_dtypes(dtype_backend=\"pyarrow\")\n",
+    "    .assign(\n",
+    "        date_of_birth=lambda beach_boys: beach_boys[\"date_of_birth\"].dt.date\n",
+    "    )\n",
     ")\n",
     "beach_boys"
    ]
@@ -190,7 +192,7 @@
    "outputs": [],
    "source": [
     "# (ii) Using .index\n",
-    "beach_boys.index = [x for x in range(len(beach_boys))]\n",
+    "beach_boys.index = range(len(beach_boys))\n",
     "beach_boys"
    ]
   },
@@ -274,6 +276,20 @@
     ").convert_dtypes(dtype_backend=\"pyarrow\")"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "d0de567e-5d9b-4852-af9d-d8cff07f4f5b",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "beach_boys.index = beach_boys[\"last_name\"].str.cat(\n",
+    "    beach_boys[\"first_name\"].str[0]\n",
+    ")\n",
+    "\n",
+    "beach_boys"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
@@ -281,6 +297,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
+    "# Alternative, with apply(). Will be slow for big DataFrames\n",
     "def calculate_user_ID(row):\n",
     "    return f\"{row[\"last_name\"]}{row[\"first_name\"][0]}\"\n",
     "\n",
@@ -511,7 +528,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.12.0"
+   "version": "3.12.7"
   }
  },
  "nbformat": 4,