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Update lab-python-data-structures.ipynb #723

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Update lab-python-data-structures.ipynb
arnaumatasfont-keky Apr 13, 2026
313c9a5
Update lab-python-data-structures.ipynb
arnaumatasfont-keky Apr 13, 2026
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157 changes: 155 additions & 2 deletions lab-python-data-structures.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -50,11 +50,164 @@
"\n",
"Solve the exercise by implementing the steps using the Python concepts of lists, dictionaries, sets, and basic input/output operations. "
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"['t-shirt', 'mug', 'hat', 'book', 'keychain']\n"
]
}
],
"source": [
"# Step 1: Define the products list\n",
"products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n",
"print(products)"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"inventory = {}"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"{'t-shirt': 2, 'mug': 4, 'hat': 3, 'book': 5, 'keychain': 1}\n"
]
}
],
"source": [
"quantity0 = int(input(f\"Enter the quantity for {products[0]}: \"))\n",
"inventory[products[0]] = quantity0\n",
"quantity1 = int(input(f\"Enter the quantity for {products[1]}: \"))\n",
"inventory[products[1]] = quantity1\n",
"quantity2 = int(input(f\"Enter the quantity for {products[2]}: \"))\n",
"inventory[products[2]] = quantity2\n",
"quantity3 = int(input(f\"Enter the quantity for {products[3]}: \"))\n",
"inventory[products[3]] = quantity3\n",
"quantity4 = int(input(f\"Enter the quantity for {products[4]}: \"))\n",
"inventory[products[4]] = quantity4\n",
"print(inventory)"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [],
"source": [
"customers_orders = set()"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [],
"source": [
"product1 = input(f\"Enter a name for the first product from {products}: \")\n",
"customers_orders.add(product1)\n",
"product2 = input(f\"Enter a name for the second product from {products}: \")\n",
"customers_orders.add(product2)\n",
"product3 = input(f\"Enter a name for the third product from {products}: \")\n",
"customers_orders.add(product3)"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"{'t-shirt', 'book', 'hat'}\n"
]
}
],
"source": [
"print(customers_orders)"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Total products ordered: 3\n",
"Percentage of products ordered: 60.00%\n",
"(3, 60.0)\n"
]
}
],
"source": [
"total_products_ordered = len(customers_orders)\n",
"print(f\"Total products ordered: {total_products_ordered}\")\n",
"\n",
"percentage_orders = (total_products_ordered / len(products)) * 100\n",
"print(f\"Percentage of products ordered: {percentage_orders:.2f}%\")\n",
"\n",
"order_status = (total_products_ordered, percentage_orders)\n",
"print(order_status)"
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"Inventory after updating for customer orders:\n",
"T-shirt: 1\n",
"Mug: 4\n",
"Hat: 2\n",
"Book: 4\n",
"Keychain: 1\n"
]
}
],
"source": [
"inventory[products[0]] -= 1\n",
"inventory[products[2]] -= 1\n",
"inventory[products[3]] -= 1\n",
"\n",
"print(\"\\nInventory after updating for customer orders:\")\n",
"print(f\"T-shirt: {inventory[products[0]]}\")\n",
"print(f\"Mug: {inventory[products[1]]}\")\n",
"print(f\"Hat: {inventory[products[2]]}\")\n",
"print(f\"Book: {inventory[products[3]]}\")\n",
"print(f\"Keychain: {inventory[products[4]]}\")"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"display_name": ".venv",
"language": "python",
"name": "python3"
},
Expand All @@ -68,7 +221,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.13"
"version": "3.14.3"
}
},
"nbformat": 4,
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