diff --git a/docs/shared/supportive_tooling/example-01.ipynb b/docs/shared/supportive_tooling/example-01.ipynb
index cb47d982..d12ccda1 100644
--- a/docs/shared/supportive_tooling/example-01.ipynb
+++ b/docs/shared/supportive_tooling/example-01.ipynb
@@ -31,8 +31,23 @@
    "source": [
     "# Install required libraries\n",
     "!pip install uv\n",
-    "!uv pip install openminds\n",
-    "!uv pip install pandas"
+    "!uv pip install openminds"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "24a7d367-fa86-4a80-b14a-5da4a0bd8ccd",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Import dependencies\n",
+    "import csv\n",
+    "from itertools import islice\n",
+    "import json\n",
+    "\n",
+    "import openminds.latest.core as omcore\n",
+    "from openminds import Collection"
    ]
   },
   {
@@ -42,10 +57,25 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "import pandas as pd\n",
     "persons_path = '../../_static/test-data/persons.csv'\n",
-    "df = pd.read_csv(persons_path, sep=',')\n",
-    "df.head(4)"
+    "\n",
+    "# Read CSV file\n",
+    "with open(persons_path, newline='', encoding='utf-8') as csvfile:\n",
+    "    reader = csv.reader(csvfile)\n",
+    "    headers = next(reader)\n",
+    "    rows = list(islice(reader, 4))  # read only first 4 rows\n",
+    "\n",
+    "# Compute columns width\n",
+    "col_widths = [max(len(str(x)) for x in col) for col in zip(headers, *rows)]\n",
+    "\n",
+    "# Print header\n",
+    "header_row = \" | \".join(f\"{h:<{w}}\" for h, w in zip(headers, col_widths))\n",
+    "print(header_row)\n",
+    "print(\"-+-\".join(\"-\" * w for w in col_widths))\n",
+    "\n",
+    "# Print data rows\n",
+    "for row in rows:\n",
+    "    print(\" | \".join(f\"{c:<{w}}\" for c, w in zip(row, col_widths)))"
    ]
   },
   {
@@ -65,9 +95,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "import csv\n",
-    "\n",
-    "# read csv file to a list of dictionaries\n",
+    "# Read csv file to a list of dictionaries\n",
     "with open(persons_path, 'r') as f:\n",
     "   csv_reader = csv.DictReader(f)\n",
     "   data = [row for row in csv_reader]\n",
@@ -103,9 +131,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "import openminds.latest.core as omcore\n",
-    "\n",
-    "# extract data to create dictionary with unique \"Consortium\" instances\n",
+    "# Extract data to create dictionary with unique \"Consortium\" instances\n",
     "consortia = {}\n",
     "for d in data:\n",
     "   if d['memberOf'] not in consortia:\n",
@@ -114,7 +140,7 @@
     "           full_name = d['memberOf']\n",
     "       )\n",
     "\n",
-    "# extract data to create dictionary with \"ContactInformation\" instances\n",
+    "# Extract data to create dictionary with \"ContactInformation\" instances\n",
     "contacts = {}\n",
     "for d in data:\n",
     "   if d['email'] not in contacts and d['email'] != '':\n",
@@ -123,7 +149,7 @@
     "           email = d['email']\n",
     "       )\n",
     "\n",
-    "# extract data to create dictionary with \"Person\" instances where each \"Person\" instance\n",
+    "# Extract data to create dictionary with \"Person\" instances where each \"Person\" instance\n",
     "# will link to their respective \"ContactInformation\" instance\n",
     "# embed an \"Affiliation\" instance that links to the respective \"Consortium\" instance\n",
     "persons = []\n",
@@ -154,10 +180,9 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "# adding instances to collection\n",
+    "# Adding instances to collection\n",
     "# we only need to add the \"Person\" instances, because ...\n",
     "# linked instances are added to the collection automatically\n",
-    "from openminds import Collection\n",
     "\n",
     "# Create an empty metadata collection\n",
     "collection = Collection()\n",
@@ -186,8 +211,6 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "import json\n",
-    "\n",
     "# Open and read the JSON file\n",
     "with open('my_collection.jsonld', 'r') as file:\n",
     "    my_collection = json.load(file)\n",