diff --git a/demo/cmd_getting_started/vw_intro.ipynb b/demo/cmd_getting_started/vw_intro.ipynb
index ee28012ee90..268df92f6a2 100644
--- a/demo/cmd_getting_started/vw_intro.ipynb
+++ b/demo/cmd_getting_started/vw_intro.ipynb
@@ -16,7 +16,7 @@
    "source": [
     "def read(path):\n",
     "    with open(path) as f:\n",
-    "        print(''.join(f.readlines()))"
+    "        print(\"\".join(f.readlines()))"
    ]
   },
   {
@@ -46,11 +46,11 @@
    "source": [
     "import numpy as np\n",
     "\n",
-    "with open('regression1.txt', 'w') as f:\n",
+    "with open(\"regression1.txt\", \"w\") as f:\n",
     "    for i in range(1000):\n",
     "        x = np.random.rand()\n",
     "        y = 2 * x + 1\n",
-    "        f.write(f'{y} |f x:{x}\\n')"
+    "        f.write(f\"{y} |f x:{x}\\n\")"
    ]
   },
   {
@@ -87,7 +87,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "!vw -d regression1.txt -p regression1.pred --invert_hash regression1.model.txt -f regression1.model.bin\n"
+    "!vw -d regression1.txt -p regression1.pred --invert_hash regression1.model.txt -f regression1.model.bin"
    ]
   },
   {
@@ -104,7 +104,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "read('regression1.model.txt')"
+    "read(\"regression1.model.txt\")"
    ]
   },
   {
@@ -168,11 +168,11 @@
    "source": [
     "import numpy as np\n",
     "\n",
-    "with open('regression2.txt', 'w') as f:\n",
+    "with open(\"regression2.txt\", \"w\") as f:\n",
     "    for i in range(1000):\n",
     "        x = np.random.rand() * 4\n",
     "        y = x**2 + 1\n",
-    "        f.write(f'{y} |y x:{x} y:{np.random.random()}\\n')"
+    "        f.write(f\"{y} |y x:{x} y:{np.random.random()}\\n\")"
    ]
   },
   {
@@ -215,7 +215,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "read('regression2.model.txt')"
+    "read(\"regression2.model.txt\")"
    ]
   },
   {
@@ -233,29 +233,21 @@
    "outputs": [],
    "source": [
     "import numpy as np\n",
-    "env = {\n",
-    "    'Tom': {\n",
-    "        'sports': 0,\n",
-    "        'politics': 1\n",
-    "        },\n",
-    "    'Anna': {\n",
-    "        'sports': 1,\n",
-    "        'politics': 0\n",
-    "    }\n",
-    "}\n",
     "\n",
-    "users = ['Tom', 'Anna']\n",
-    "content = ['sports', 'politics']\n",
+    "env = {\"Tom\": {\"sports\": 0, \"politics\": 1}, \"Anna\": {\"sports\": 1, \"politics\": 0}}\n",
     "\n",
-    "with open('cb.txt', 'w') as f:\n",
+    "users = [\"Tom\", \"Anna\"]\n",
+    "content = [\"sports\", \"politics\"]\n",
+    "\n",
+    "with open(\"cb.txt\", \"w\") as f:\n",
     "    for i in range(1000):\n",
     "        user = users[np.random.randint(0, 2)]\n",
     "        chosen = np.random.randint(0, 2)\n",
     "        reward = env[user][content[chosen]]\n",
     "\n",
-    "        f.write(f'shared |u {user}\\n')\n",
-    "        f.write(f'0:{-reward}:0.5 |a {content[chosen]}\\n')\n",
-    "        f.write(f'|a {content[(chosen + 1) % 2]}\\n\\n')"
+    "        f.write(f\"shared |u {user}\\n\")\n",
+    "        f.write(f\"0:{-reward}:0.5 |a {content[chosen]}\\n\")\n",
+    "        f.write(f\"|a {content[(chosen + 1) % 2]}\\n\\n\")"
    ]
   },
   {
@@ -300,7 +292,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "read('cb.model.txt')"
+    "read(\"cb.model.txt\")"
    ]
   },
   {