diff --git a/pandas-intro/pandas_intro.ipynb b/pandas-intro/pandas_intro.ipynb
index 47391317ec..1ed81e7fe4 100644
--- a/pandas-intro/pandas_intro.ipynb
+++ b/pandas-intro/pandas_intro.ipynb
@@ -33,7 +33,7 @@
    "metadata": {},
    "source": [
     "```console\n",
-    "$ python3 -m pip install requests pandas matplotlib\n",
+    "$ python3 -m pip install \"requests==2.34.*\" \"pandas==3.1.*\" \"matplotlib==3.11.*\"\n",
     "```"
    ]
   },
@@ -61,7 +61,10 @@
    "source": [
     "import requests\n",
     "\n",
-    "download_url = \"https://raw.githubusercontent.com/fivethirtyeight/data/master/nba-elo/nbaallelo.csv\"\n",
+    "download_url = (\n",
+    "    \"https://raw.githubusercontent.com/fivethirtyeight/\"\n",
+    "    \"data/master/nba-elo/nbaallelo.csv\"\n",
+    ")\n",
     "target_csv_path = \"nba_all_elo.csv\"\n",
     "\n",
     "response = requests.get(download_url)\n",
@@ -197,7 +200,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "nba.describe(include=object)"
+    "nba.describe(include=\"str\")"
    ]
   },
   {
@@ -215,11 +218,13 @@
    "source": [
     "nba[\"team_id\"].value_counts()\n",
     "# Expected:\n",
+    "# team_id\n",
     "# BOS    5997\n",
     "# NYK    5769\n",
     "# LAL    5078\n",
     "\n",
-    "# SDS      11"
+    "# SDS      11\n",
+    "# Name: count, Length: 104, dtype: int64"
    ]
   },
   {
@@ -230,12 +235,13 @@
    "source": [
     "nba[\"fran_id\"].value_counts()\n",
     "# Expected:\n",
+    "# fran_id\n",
     "# Lakers          6024\n",
     "# Celtics         5997\n",
     "# Knicks          5769\n",
     "\n",
     "# Falcons           60\n",
-    "# Name: fran_id, dtype: int64"
+    "# Name: count, dtype: int64"
    ]
   },
   {
@@ -598,29 +604,7 @@
    "source": [
     "city_revenues[\"Toronto\"]\n",
     "# Expected:\n",
-    "# 8000"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "city_revenues[1]\n",
-    "# Expected:\n",
-    "# 8000"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "city_revenues[-1]\n",
-    "# Expected:\n",
-    "# 6500"
+    "# np.int64(8000)"
    ]
   },
   {
@@ -1330,7 +1314,9 @@
    "outputs": [],
    "source": [
     "data_with_default_notes = nba.copy()\n",
-    "data_with_default_notes[\"notes\"].fillna(value=\"no notes at all\", inplace=True)\n",
+    "data_with_default_notes[\"notes\"] = data_with_default_notes[\"notes\"].fillna(\n",
+    "    value=\"no notes at all\"\n",
+    ")\n",
     "data_with_default_notes[\"notes\"].describe()\n",
     "# Expected:\n",
     "# count              126314\n",