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Solved lab #628

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185 changes: 184 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 +50,189 @@
"\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": 47,
"metadata": {},
"outputs": [],
"source": [
"# 1.\n",
"products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]"
]
},
{
"cell_type": "code",
"execution_count": 48,
"metadata": {},
"outputs": [],
"source": [
"# 2.\n",
"inventory = {}"
]
},
{
"cell_type": "code",
"execution_count": 49,
"metadata": {},
"outputs": [
{
"name": "stdin",
"output_type": "stream",
"text": [
"Enter quantity: 4\n",
"Enter quantity: 6\n",
"Enter quantity: 7\n",
"Enter quantity: 9\n",
"Enter quantity: 10\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"{'t-shirt': 4, 'mug': 6, 'hat': 7, 'book': 9, 'keychain': 10}\n"
]
}
],
"source": [
"# 3.\n",
"for product in products:\n",
" inventory[product] = int(input(\"Enter quantity: \"))\n",
"\n",
"print(inventory)"
]
},
{
"cell_type": "code",
"execution_count": 50,
"metadata": {},
"outputs": [],
"source": [
"# 4.\n",
"customer_orders = set()"
]
},
{
"cell_type": "code",
"execution_count": 51,
"metadata": {},
"outputs": [
{
"name": "stdin",
"output_type": "stream",
"text": [
"Enter your order 1: book\n",
"Enter your order 2: mug\n",
"Enter your order 3: hat\n"
]
}
],
"source": [
"# 5.\n",
"for i in range(3):\n",
" order = input(f\"Enter your order {i + 1}: \")\n",
" while order not in products:\n",
" order = input(f\"Enter your order {i + 1}: \")\n",
" customer_orders.add(order) "
]
},
{
"cell_type": "code",
"execution_count": 52,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"{'book', 'hat', 'mug'}"
]
},
"execution_count": 52,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# 6.\n",
"customer_orders"
]
},
{
"cell_type": "code",
"execution_count": 53,
"metadata": {},
"outputs": [],
"source": [
"# 7.\n",
"total_products_ordered = len(customer_orders)\n",
"percentage = (total_products_ordered / len(products)) * 100\n",
"order_status = (total_products_ordered, percentage)"
]
},
{
"cell_type": "code",
"execution_count": 54,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Order Statistics:\n",
"Total Products Ordered: 3\n",
"Percentage of Products Ordered: 60.0%\n"
]
}
],
"source": [
"# 8.\n",
"print(\"Order Statistics:\")\n",
"print(f\"Total Products Ordered: \", total_products_ordered)\n",
"print(f\"Percentage of Products Ordered: {percentage}%\") \n",
" "
]
},
{
"cell_type": "code",
"execution_count": 55,
"metadata": {},
"outputs": [],
"source": [
"# 9.\n",
"for product in customer_orders:\n",
" inventory[product] -= 1"
]
},
{
"cell_type": "code",
"execution_count": 56,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"t-shirt: 4\n",
"mug: 5\n",
"hat: 6\n",
"book: 8\n",
"keychain: 10\n"
]
}
],
"source": [
"# 10.\n",
"for product, quantity in inventory.items():\n",
" print(f\"{product}: {quantity}\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
Expand All @@ -68,7 +251,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.13"
"version": "3.14.0"
}
},
"nbformat": 4,
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