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Update lab-python-data-structures.ipynb #736

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275 changes: 273 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 +50,282 @@
"\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": 3,
"metadata": {},
"outputs": [],
"source": [
"Products = [\"t-shirt\", \"mug\", \"hat\", \"book\",\"keychain\"]"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [],
"source": [
"Inventory = {}"
]
},
{
"cell_type": "code",
"execution_count": 27,
"metadata": {},
"outputs": [],
"source": [
"Inventory[\"T-shirt\"] = input(\"Add the inventory for t-shirt items, please: \")"
]
},
{
"cell_type": "code",
"execution_count": 28,
"metadata": {},
"outputs": [],
"source": [
"Inventory[\"Mug\"] = input(\"Add the inventory for mug itmes, please: \")"
]
},
{
"cell_type": "code",
"execution_count": 29,
"metadata": {},
"outputs": [],
"source": [
"Inventory[\"Hat\"] = input(\"Add the inventory for hat itmes, please: \")"
]
},
{
"cell_type": "code",
"execution_count": 30,
"metadata": {},
"outputs": [],
"source": [
"Inventory[\"Book\"] = input(\"Add the inventory for book itmes, please: \")"
]
},
{
"cell_type": "code",
"execution_count": 31,
"metadata": {},
"outputs": [],
"source": [
"Inventory[\"Keychain\"] = input(\"Add the inventory for keychain itmes, please: \")"
]
},
{
"cell_type": "code",
"execution_count": 51,
"metadata": {},
"outputs": [],
"source": [
"customer_orders = set()"
]
},
{
"cell_type": "code",
"execution_count": 52,
"metadata": {},
"outputs": [],
"source": [
"for i in range(3):\n",
" choice =input(f\"Write the name of the product {i+1}: \")"
]
},
{
"cell_type": "code",
"execution_count": 53,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"You choose: Book\n",
"\n",
"Final order: {'Book'}\n"
]
}
],
"source": [
"customer_orders.add( choice)\n",
"print(f\"You choose: {choice}\")\n",
"print(\"\\nFinal order:\", customer_orders)"
]
},
{
"cell_type": "code",
"execution_count": 58,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"Your order:\n",
" Book\n"
]
}
],
"source": [
"print(\"\\nYour order:\")\n",
"for products in customer_orders:\n",
" print(f\" {products}\")\n"
]
},
{
"cell_type": "code",
"execution_count": 59,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"total number of product orders: 1\n"
]
}
],
"source": [
"total_products = len(customer_orders)\n",
"print(f\"total number of product orders: {total_products}\")"
]
},
{
"cell_type": "code",
"execution_count": 61,
"metadata": {},
"outputs": [],
"source": [
"total_inventory = 5"
]
},
{
"cell_type": "code",
"execution_count": 62,
"metadata": {},
"outputs": [],
"source": [
"total_orders = len(customer_orders)\n",
"percentage = (total_orders / total_inventory)* 100"
]
},
{
"cell_type": "code",
"execution_count": 63,
"metadata": {},
"outputs": [],
"source": [
"order_status = (total_orders, percentage)"
]
},
{
"cell_type": "code",
"execution_count": 64,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"total orders: 1\n",
"inventory percentage: 20.0%\n"
]
}
],
"source": [
"print(f\"total orders: {order_status[0]}\")\n",
"print(f\"inventory percentage: {order_status[1]}%\")"
]
},
{
"cell_type": "code",
"execution_count": 65,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"Order Statistics\n",
"Total Products Ordered: 1\n",
"Percentage of Products Ordered: 20.0%\n"
]
}
],
"source": [
"print(\"\\nOrder Statistics\")\n",
"print(f\"Total Products Ordered: {order_status[0]}\")\n",
"print(f\"Percentage of Products Ordered: {order_status[1]}%\")"
]
},
{
"cell_type": "code",
"execution_count": 66,
"metadata": {},
"outputs": [],
"source": [
"inventory = {\n",
" \"t-shirt\": 10,\n",
" \"hat\": 5,\n",
" \"book\": 8,\n",
" \"mug\": 12\n",
"} "
]
},
{
"cell_type": "code",
"execution_count": 71,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Product Book not found in inventory.\n"
]
}
],
"source": [
"for product in customer_orders:\n",
" if product in inventory:\n",
" inventory[product] -= 1\n",
" print(f\"Inventory updated: {product} now has {inventory[product]} units.\")\n",
" else:\n",
" print(f\"Product {product} not found in inventory.\")\n"
]
},
{
"cell_type": "code",
"execution_count": 72,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"--- Updated Inventory ---\n",
"Product: t-shirt | Remaining: 10\n",
"Product: hat | Remaining: 5\n",
"Product: book | Remaining: 8\n",
"Product: mug | Remaining: 12\n"
]
}
],
"source": [
"print(\"\\n--- Updated Inventory ---\")\n",
"for product, quantity in inventory.items():\n",
" print(f\"Product: {product} | Remaining: {quantity}\")\n"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"display_name": ".venv",
"language": "python",
"name": "python3"
},
Expand All @@ -68,7 +339,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.13"
"version": "3.14.4"
}
},
"nbformat": 4,
Expand Down