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Lab solved #555

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232 changes: 231 additions & 1 deletion lab-python-data-structures.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -50,6 +50,236 @@
"\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": 2,
"metadata": {},
"outputs": [],
"source": [
"# 1. Define a list called `products` that contains the following items: \n",
"products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"#2. Create an empty dictionary called `inventory`\n",
"inventory = {}"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"name": "stdin",
"output_type": "stream",
"text": [
"Enter quantity for t-shirt: 5\n",
"Enter quantity for mug: 3\n",
"Enter quantity for hat: 5\n",
"Enter quantity for book: 7\n",
"Enter quantity for keychain: 5\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"{'t-shirt': 5, 'mug': 3, 'hat': 5, 'book': 7, 'keychain': 5}\n"
]
}
],
"source": [
"#3. Ask the user to input the quantity of each product available in the inventory. Use the product names from the `products` list as keys in the `inventory` dictionary and assign the respective quantities as values.\n",
"for product in products:\n",
" quantity = int(input(f\"Enter quantity for {product}: \"))\n",
" inventory[product] = quantity\n",
"print(inventory)"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [],
"source": [
"#4. Create an empty set called `customer_orders`."
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [],
"source": [
"customer_orders = set()"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [
{
"name": "stdin",
"output_type": "stream",
"text": [
"Enter a product to order: mug\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Customer orders: {'mug'}\n"
]
},
{
"name": "stdin",
"output_type": "stream",
"text": [
"Enter a product to order: hat\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Customer orders: {'mug', 'hat'}\n"
]
},
{
"name": "stdin",
"output_type": "stream",
"text": [
"Enter a product to order: sandals\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"sandals is not available.\n",
"Customer orders: {'mug', 'hat'}\n"
]
}
],
"source": [
"#5. Ask the user to input the name of three products that a customer wants to order (from those in the products list, meaning three products out of \"t-shirt\", \"mug\", \"hat\", \"book\" or \"keychain\". Add each product name to the `customer_orders` set.\n",
"for i in range(3):\n",
" order = input(\"Enter a product to order: \")\n",
" if order in products:\n",
" customer_orders.add(order)\n",
" else:\n",
" print(f\"{order} is not available.\")\n",
"\n",
" print (\"Customer orders:\", customer_orders)"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Products in customer_orders:\n",
"- mug\n",
"- hat\n"
]
}
],
"source": [
"#6. Print the products in the `customer_orders` set.\n",
"print (\"Products in customer_orders:\")\n",
"for item in customer_orders:\n",
" print(\"-\", item)\n"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Order status tuple: (2, 40.0)\n"
]
}
],
"source": [
"#7. Calculate the following order statistics:\n",
"#Total Products Ordered (unique items in the set)\n",
"total_products_ordered = len(customer_orders)\n",
"#Percentage of Products Ordered compared to the total available products.\n",
"percentage_ordered = (total_products_ordered / len(products)) * 100\n",
"#Store results in a tuple\n",
"order_status = (total_products_ordered, percentage_ordered)\n",
"\n",
"print(\"Order status tuple:\", order_status)"
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Order Statistics:\n",
"Total Products Ordered: 2\n",
"Percentage of Products Ordered: 40.00%\n"
]
}
],
"source": [
"#8. Print the order statistics using the following format:\n",
"print (\"Order Statistics:\")\n",
"print (\"Total Products Ordered:\", order_status[0])\n",
"print (\"Percentage of Products Ordered: {:.2f}%\".format(order_status[1]))\n"
]
},
{
"cell_type": "code",
"execution_count": 20,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Updated inventory: {'t-shirt': 5, 'mug': 0, 'hat': 2, 'book': 7, 'keychain': 5}\n"
]
}
],
"source": [
"#9. Update the inventory by subtracting 1 from the quantity of each product. Modify the `inventory` dictionary accordingly.\n",
"for item in customer_orders:\n",
" if item in inventory:\n",
" inventory[item] -= 1\n",
"#10. Print the updated inventory, displaying the quantity of each product on separate lines.\n",
"print(\"Updated inventory:\", inventory)\n",
" "
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
Expand All @@ -68,7 +298,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.13"
"version": "3.13.5"
}
},
"nbformat": 4,
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