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Week1 lab1 done #538

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153 changes: 151 additions & 2 deletions lab-python-data-structures.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -9,6 +9,155 @@
"# Lab | Data Structures "
]
},
{
"cell_type": "code",
"execution_count": 30,
"metadata": {},
"outputs": [],
"source": [
"#1: Define the products\n",
"products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]"
]
},
{
"cell_type": "code",
"execution_count": 31,
"metadata": {},
"outputs": [],
"source": [
"#2: Create empty inventory dictionary\n",
"inventory = {}"
]
},
{
"cell_type": "code",
"execution_count": 32,
"metadata": {},
"outputs": [],
"source": [
"#3: Ask user for quantity of each product\n",
"for product in products:\n",
" quantity = int(input(f\"Enter quantity available for {product}: \"))\n",
" inventory[product] = quantity"
]
},
{
"cell_type": "code",
"execution_count": 33,
"metadata": {},
"outputs": [],
"source": [
"#4: Create empty set for customer orders\n",
"customer_orders = set()"
]
},
{
"cell_type": "code",
"execution_count": 34,
"metadata": {},
"outputs": [],
"source": [
"#5:Ask the user to input 3 products they want to order\n",
"order1 = input(\"Enter product #1 to order: \")\n",
"order2 = input(\"Enter product #2 to order: \")\n",
"order3 = input(\"Enter product #3 to order: \")"
]
},
{
"cell_type": "code",
"execution_count": 35,
"metadata": {},
"outputs": [],
"source": [
"#6:Clean the inputs (remove whitespace and make lowercase)\n",
"order1 = order1.strip().lower()\n",
"order2 = order2.strip().lower()\n",
"order3 = order3.strip().lower()\n",
"customer_orders = {order1, order2, order3} & set(products)"
]
},
{
"cell_type": "code",
"execution_count": 36,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Customer Orders: {'hat', 'keychain', 'book'}\n"
]
}
],
"source": [
"# Step 7: Print customer_orders\n",
"print(\"Customer Orders:\", customer_orders)"
]
},
{
"cell_type": "code",
"execution_count": 37,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Order Statistics:\n",
"Total Products Ordered: 3\n",
"Percentage of Products Ordered: 60.00%\n"
]
}
],
"source": [
"# Step 8: Calculate and print order statistics\n",
"total_ordered = len(customer_orders)\n",
"total_products = len(products)\n",
"percent_ordered = (total_ordered / total_products) * 100\n",
"order_status = (total_ordered, f\"{percent_ordered:.2f}%\")\n",
"\n",
"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": 38,
"metadata": {},
"outputs": [],
"source": [
"# Step 9: Update inventory by reducing quantity of each ordered product by 1\n",
"for item in customer_orders:\n",
" if inventory[item] > 0:\n",
" inventory[item] -= 1"
]
},
{
"cell_type": "code",
"execution_count": 39,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Updated Inventory:\n",
"t-shirt: 9\n",
"mug: 8\n",
"hat: 6\n",
"book: 5\n",
"keychain: 4\n"
]
}
],
"source": [
"# Step 10: Print updated inventory\n",
"print(\"Updated Inventory:\")\n",
"for product, qty in inventory.items():\n",
" print(f\"{product}: {qty}\")"
]
},
{
"cell_type": "markdown",
"metadata": {},
Expand Down Expand Up @@ -54,7 +203,7 @@
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"display_name": "base",
"language": "python",
"name": "python3"
},
Expand All @@ -68,7 +217,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.13"
"version": "3.13.5"
}
},
"nbformat": 4,
Expand Down