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week1 lab 1 data structure #660

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171 changes: 168 additions & 3 deletions lab-python-data-structures.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -27,7 +27,7 @@
"\n",
"4. Create an empty set called `customer_orders`.\n",
"\n",
"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",
"5. Ask the user to input 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",
"\n",
"6. Print the products in the `customer_orders` set.\n",
"\n",
Expand All @@ -50,11 +50,176 @@
"\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": [
"products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n",
"inventory = {}"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [],
"source": [
"q1= int (input(\"Enter quantity for t-shirt\"))\n",
"inventory[\"t-shirt\"] = q1"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [],
"source": [
"q2= int (input(\"Enter quantity for t-shirt\"))\n",
"inventory[\"mug\"] = q2"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [],
"source": [
"q3= int (input(\"Enter quantity for t-shirt\"))\n",
"inventory[\"hat\"] = q3"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [],
"source": [
"q4= int (input(\"Enter quantity for t-shirt\"))\n",
"inventory[\"book\"] = q4"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [],
"source": [
"q5= int (input(\"Enter quantity for t-shirt\"))\n",
"inventory[\"keychain\"] = q5"
]
},
{
"cell_type": "code",
"execution_count": 24,
"metadata": {},
"outputs": [],
"source": [
"customer_orders = set()\n"
]
},
{
"cell_type": "code",
"execution_count": 25,
"metadata": {},
"outputs": [],
"source": [
"order1 = input('Enter name of product 1: ')\n",
"customer_orders.add(order1)"
]
},
{
"cell_type": "code",
"execution_count": 26,
"metadata": {},
"outputs": [],
"source": [
"order2 = input('Enter name of product 2: ')\n",
"customer_orders.add(order2)"
]
},
{
"cell_type": "code",
"execution_count": 27,
"metadata": {},
"outputs": [],
"source": [
"order3 = input('Enter name of product 1: ')\n",
"customer_orders.add(order3)"
]
},
{
"cell_type": "code",
"execution_count": 28,
"metadata": {},
"outputs": [],
"source": [
"total_orders= len(customer_orders)\n",
"percentage_orders = (total_orders/5)*100\n",
"order_status = (total_orders,percentage_orders)"
]
},
{
"cell_type": "code",
"execution_count": 29,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Total Products Ordered: 3\n",
"Percentage of Products Ordered: 60.0 %\n"
]
}
],
"source": [
"print(\"Total Products Ordered:\", order_status[0])\n",
"print(\"Percentage of Products Ordered:\", order_status[1], \"%\")"
]
},
{
"cell_type": "code",
"execution_count": 30,
"metadata": {},
"outputs": [],
"source": [
"inventory[\"t-shirt\"] -= 1"
]
},
{
"cell_type": "code",
"execution_count": 31,
"metadata": {},
"outputs": [],
"source": [
"inventory[\"hat\"] -= 1"
]
},
{
"cell_type": "code",
"execution_count": 32,
"metadata": {},
"outputs": [],
"source": [
"inventory[\"book\"]-=1"
]
},
{
"cell_type": "code",
"execution_count": 33,
"metadata": {},
"outputs": [],
"source": [
"inventory[\"keychain\"] -=1"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"display_name": "base",
"language": "python",
"name": "python3"
},
Expand All @@ -68,7 +233,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.13"
"version": "3.13.9"
}
},
"nbformat": 4,
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