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lab solved #510

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196 changes: 195 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 +50,200 @@
"\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": [],
"source": [
"# 1.\n",
"products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"# 2.\n",
"inventory = {}"
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {},
"outputs": [
{
"name": "stdin",
"output_type": "stream",
"text": [
"Enter the quantity for t-shirt: 6\n",
"Enter the quantity for mug: 5\n",
"Enter the quantity for hat: 6\n",
"Enter the quantity for book: 5\n",
"Enter the quantity for keychain: 6\n"
]
}
],
"source": [
"# 3.\n",
"for product in products:\n",
" quantity = int(input(f\"Enter the quantity for {product}: \"))\n",
" inventory[product] = quantity"
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {},
"outputs": [],
"source": [
"# 4.\n",
"customer_orders = set()"
]
},
{
"cell_type": "code",
"execution_count": 17,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Available products: , t-shirt mug hat book keychain\n"
]
},
{
"name": "stdin",
"output_type": "stream",
"text": [
"Enter product 1 to order: t-shirt\n",
"Enter product 2 to order: mug\n",
"Enter product 3 to order: book\n"
]
}
],
"source": [
"# 5.\n",
"print(\"Available products:\", \", \", \" \".join(products))\n",
"while len(customer_orders) < 3:\n",
" order = input(f\"Enter product {len(customer_orders) + 1} to order: \").lower()\n",
" if order in products:\n",
" customer_orders.add(order)\n",
" else:\n",
" print(\"Invalid product. Please choose from the available products.\")"
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"{'mug', 't-shirt', 'book'}\n"
]
}
],
"source": [
"# 6.\n",
"print(customer_orders)"
]
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {},
"outputs": [],
"source": [
"# 7.1.\n",
"total_products_ordered = len(customer_orders)"
]
},
{
"cell_type": "code",
"execution_count": 20,
"metadata": {},
"outputs": [],
"source": [
"# 7.2.\n",
"total_products_ordered = len(customer_orders)\n",
"total_available_products = len(products)\n",
"\n",
"percentage_ordered = (total_products_ordered / total_available_products) * 100\n",
"order_status = (total_products_ordered, percentage_ordered)"
]
},
{
"cell_type": "code",
"execution_count": 21,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"Order Statistics:\n",
"Total Products Ordered: 3\n",
"Percentage of Products Ordered: 60.00%\n"
]
}
],
"source": [
"# 8.\n",
"total_products_ordered = len(customer_orders)\n",
"percentage_ordered = (total_products_ordered / len(products)) * 100\n",
"\n",
"order_status = (total_products_ordered, percentage_ordered)\n",
"\n",
"print(\"Order Statistics:\")\n",
"print(f\"Total Products Ordered: {order_status[0]}\")\n",
"print(f\"Percentage of Products Ordered: {order_status[1]:.2f}%\")"
]
},
{
"cell_type": "code",
"execution_count": 22,
"metadata": {},
"outputs": [],
"source": [
"# 9.\n",
"for item in customer_orders:\n",
" if item in inventory and inventory[item] > 0:\n",
" inventory[item] -= 1"
]
},
{
"cell_type": "code",
"execution_count": 23,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Updated Inventory:\n",
"t-shirt: 5\n",
"mug: 4\n",
"hat: 6\n",
"book: 4\n",
"keychain: 6\n"
]
}
],
"source": [
"# 10.\n",
"print(\"Updated Inventory:\")\n",
"for product, quantity in inventory.items():\n",
" print(f\"{product}: {quantity}\")"
]
}
],
"metadata": {
Expand All @@ -68,7 +262,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.13"
"version": "3.12.5"
}
},
"nbformat": 4,
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