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295 changes: 294 additions & 1 deletion lab-python-data-structures.ipynb
Original file line number Diff line number Diff line change
Expand Up @@ -50,6 +50,299 @@
"\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": "stdin",
"output_type": "stream",
"text": [
"Enter the quantity of t-shirt: 50\n",
"Enter the quantity of mug: 60\n",
"Enter the quantity of hat: 100\n",
"Enter the quantity of book: 200\n",
"Enter the quantity of keychain: 400\n",
"Enter an ordered product: 30\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Invalid product. Please choose from: ['t-shirt', 'mug', 'hat', 'book', 'keychain']\n"
]
},
{
"name": "stdin",
"output_type": "stream",
"text": [
"Enter an ordered product: t-shirt\n",
"Enter an ordered product: hat\n",
"Enter an ordered product: book\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"Customer Orders:\n",
"hat\n",
"t-shirt\n",
"book\n",
"\n",
"Order Statistics:\n",
"Total Products Ordered: 3\n",
"Percentage of Products Ordered: 60.0 %\n",
"\n",
"Updated Inventory:\n",
"t-shirt : 49\n",
"mug : 60\n",
"hat : 99\n",
"book : 199\n",
"keychain : 400\n"
]
}
],
"source": [
"# Create the product list\n",
"products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n",
"\n",
"# Create an empty inventory dictionary\n",
"inventory = {}\n",
"\n",
"# Ask for the quantity of every product\n",
"for product in products:\n",
" quantity = int(input(f\"Enter the quantity of {product}: \"))\n",
" inventory[product] = quantity\n",
"\n",
"# Create an empty set for customer orders\n",
"customer_orders = set()\n",
"\n",
"# Continue asking until three valid products are entered\n",
"while len(customer_orders) < 3:\n",
" order = input(\n",
" \"Enter an ordered product: \"\n",
" ).strip().lower()\n",
"\n",
" if order in products:\n",
" customer_orders.add(order)\n",
" else:\n",
" print(\"Invalid product. Please choose from:\", products)\n",
"\n",
"# Display the customer orders\n",
"print(\"\\nCustomer Orders:\")\n",
"for product in customer_orders:\n",
" print(product)\n",
"\n",
"# Calculate the order statistics\n",
"total_products_ordered = len(customer_orders)\n",
"percentage_ordered = (\n",
" total_products_ordered / len(products)\n",
") * 100\n",
"\n",
"# Store the statistics in a tuple\n",
"order_status = (\n",
" total_products_ordered,\n",
" percentage_ordered\n",
")\n",
"\n",
"# Display the order statistics\n",
"print(\"\\nOrder Statistics:\")\n",
"print(\"Total Products Ordered:\", order_status[0])\n",
"print(\"Percentage of Products Ordered:\", order_status[1], \"%\")\n",
"\n",
"# Subtract one from each ordered product\n",
"for product in customer_orders:\n",
" inventory[product] = inventory[product] - 1\n",
"\n",
"# Display the updated inventory\n",
"print(\"\\nUpdated Inventory:\")\n",
"\n",
"for product, quantity in inventory.items():\n",
" print(product, \":\", quantity)"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"inventory = {}"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"name": "stdin",
"output_type": "stream",
"text": [
"Enter the quantity of t-shirt: 400\n",
"Enter the quantity of mug: 500\n",
"Enter the quantity of hat: 300\n",
"Enter the quantity of book: 600\n",
"Enter the quantity of keychain: 200\n"
]
}
],
"source": [
"for product in products:\n",
" quantity = int(input(f\"Enter the quantity of {product}: \"))\n",
" inventory[product] = quantity"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [],
"source": [
"customer_orders = set()"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"name": "stdin",
"output_type": "stream",
"text": [
"Enter the first product ordered: t-shirt\n",
"Enter the second product ordered: keychain\n",
"Enter the third product ordered: mug\n"
]
}
],
"source": [
"order1 = input(\"Enter the first product ordered: \")\n",
"order2 = input(\"Enter the second product ordered: \")\n",
"order3 = input(\"Enter the third product ordered: \")"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [],
"source": [
"customer_orders.update([order1, order2, order3])"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Customer Orders: {'keychain', 'mug', 't-shirt'}\n"
]
}
],
"source": [
"print(\"Customer Orders:\", customer_orders)"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [],
"source": [
"total_products_ordered = len(customer_orders)\n",
"\n",
"percentage_ordered = (\n",
" total_products_ordered / len(products)\n",
") * 100\n",
"\n",
"order_status = (\n",
" total_products_ordered,\n",
" percentage_ordered\n",
")"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Order Statistics:\n",
"Total Products Ordered: 3\n",
"Percentage of Products Ordered: 60.0 %\n"
]
}
],
"source": [
"print(\"Order Statistics:\")\n",
"print(\"Total Products Ordered:\", order_status[0])\n",
"print(\"Percentage of Products Ordered:\", order_status[1], \"%\")"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [],
"source": [
"for product in customer_orders:\n",
" inventory[product] = inventory[product] - 1"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Updated Inventory:\n",
"t-shirt : 399\n",
"mug : 499\n",
"hat : 300\n",
"book : 600\n",
"keychain : 199\n"
]
}
],
"source": [
"print(\"Updated Inventory:\")\n",
"\n",
"for product, quantity in inventory.items():\n",
" print(product, \":\", quantity)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
Expand All @@ -68,7 +361,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.13"
"version": "3.13.14"
}
},
"nbformat": 4,
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