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317 changes: 312 additions & 5 deletions lab-python-functions.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -21,13 +21,13 @@
"\n",
"Follow the steps below to complete the exercise:\n",
"\n",
"1. Define a function named `initialize_inventory` that takes `products` as a parameter. Inside the function, implement the code for initializing the inventory dictionary using a loop and user input.\n",
"1. Define a function named `initialize_inventory` that takes `productss` as a parameter. Inside the function, implement the code for initializing the inventory dictionary using a loop and user input.\n",
"\n",
"2. Define a function named `get_customer_orders` that takes no parameters. Inside the function, implement the code for prompting the user to enter the product names using a loop. The function should return the `customer_orders` set.\n",
"2. Define a function named `get_customer_orders` that takes no parameters. Inside the function, implement the code for prompting the user to enter the products names using a loop. The function should return the `customer_orders` set.\n",
"\n",
"3. Define a function named `update_inventory` that takes `customer_orders` and `inventory` as parameters. Inside the function, implement the code for updating the inventory dictionary based on the customer orders.\n",
"\n",
"4. Define a function named `calculate_order_statistics` that takes `customer_orders` and `products` as parameters. Inside the function, implement the code for calculating the order statistics (total products ordered, and percentage of unique products ordered). The function should return these values.\n",
"4. Define a function named `calculate_order_statistics` that takes `customer_orders` and `productss` as parameters. Inside the function, implement the code for calculating the order statistics (total productss ordered, and percentage of unique productss ordered). The function should return these values.\n",
"\n",
"5. Define a function named `print_order_statistics` that takes `order_statistics` as a parameter. Inside the function, implement the code for printing the order statistics.\n",
"\n",
Expand All @@ -43,11 +43,318 @@
"\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "b9b0cfd4",
"metadata": {},
"outputs": [],
"source": [
"products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n",
"inventory = {}"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "6df4a541",
"metadata": {},
"outputs": [],
"source": [
"def initialize_inventory(products):\n",
" inventory = {} # 1. Initialize empty dictionary\n",
"\n",
" # 2. Start loop for user input\n",
" while True:\n",
" products = input(\"Enter products name (or 'done' to finish): \").lower().strip()\n",
"\n",
" # Exit condition\n",
" if products.lower() == \"done\":\n",
" break\n",
"\n",
" quantity = int(input(f\"Enter quantity for {products}: \"))\n",
"\n",
" # 3. Add to dictionary\n",
" inventory[products] = quantity\n",
"\n",
" # 4. Return completed dictionary\n",
" return inventory"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "d4fcb8a3",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"{'beer': 50, 'water': 50, 'wine': 50}"
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"initialize_inventory(products)"
]
},
{
"cell_type": "code",
"execution_count": 14,
"id": "bcac7dad",
"metadata": {},
"outputs": [],
"source": [
"def get_customer_orders(products):\n",
" \n",
" customer_orders = set() \n",
" \n",
" while True:\n",
" products = input(\"Enter products name (or 'done' to finish): \").strip()\n",
"\n",
" # Exit condition\n",
" if products.lower() == \"done\":\n",
" break\n",
"\n",
" # 3. Add to set\n",
" customer_orders.add(products)\n",
"\n",
" # 4. Return completed set\n",
" return customer_orders"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "50875be5",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"{'beer', 'water', 'wine'}"
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"get_customer_orders(products)"
]
},
{
"cell_type": "code",
"execution_count": 18,
"id": "bf1abed4",
"metadata": {},
"outputs": [],
"source": [
"inventory = {'t-shirt': 10, 'mug': 10, 'hat': 10, 'book': 10, 'keychain': 10}\n",
"customer_orders = {'t-shirt', 'hat'}"
]
},
{
"cell_type": "code",
"execution_count": 19,
"id": "f088941c",
"metadata": {},
"outputs": [],
"source": [
"def update_inventory(customer_orders, inventory):\n",
" \n",
" for product in customer_orders:\n",
" if product in inventory:\n",
" inventory[product] -= 1\n",
" return inventory \n",
" "
]
},
{
"cell_type": "code",
"execution_count": 20,
"id": "fadb0a19",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"{'t-shirt': 9, 'mug': 10, 'hat': 9, 'book': 10, 'keychain': 10}"
]
},
"execution_count": 20,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"update_inventory(customer_orders, inventory)"
]
},
{
"cell_type": "code",
"execution_count": 55,
"id": "aa6e8775",
"metadata": {},
"outputs": [],
"source": [
"def calculate_order_statistic (customer_orders, products):\n",
" total_products_ordered = len(customer_orders)\n",
" \n",
" # 2. Percentage of unique products ordered\n",
" percentage_ordered = (total_products_ordered / len(products)) * 100\n",
" \n",
" # 3. Return both values (packed as a tuple)\n",
" return total_products_ordered, percentage_ordered"
]
},
{
"cell_type": "code",
"execution_count": 50,
"id": "52d9fb7c",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Total Ordered: 2\n",
"Percentage Ordered: 40.00%\n"
]
}
],
"source": [
"total_ordered, percentage = calculate_order_statistic(customer_orders, products)\n",
"\n",
"print(f\"Total Ordered: {total_ordered}\")\n",
"print(f\"Percentage Ordered: {percentage:.2f}%\")"
]
},
{
"cell_type": "code",
"execution_count": 53,
"id": "ddc07fc2",
"metadata": {},
"outputs": [],
"source": [
"def print_order_statistics(order_statistic):\n",
" # Unpack the tuple passed into the parameter\n",
" total_ordered, percentage = order_statistic\n",
" \n",
" # Print the formatted statistics\n",
" print(f\"Total Products Ordered: {total_ordered}\")\n",
" print(f\"Percentage of Unique Products Ordered: {percentage:.2f}%\")\n"
]
},
{
"cell_type": "code",
"execution_count": 56,
"id": "9d6256c6",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Total Products Ordered: 2\n",
"Percentage of Unique Products Ordered: 40.00%\n"
]
}
],
"source": [
"# 1. Calculate the stats and store the resulting tuple\n",
"stats = calculate_order_statistic(customer_orders, products)\n",
"\n",
"# 2. Pass that tuple into your print function to trigger the print statements\n",
"print_order_statistics(stats)"
]
},
{
"cell_type": "code",
"execution_count": 57,
"id": "09d0622a",
"metadata": {},
"outputs": [],
"source": [
"def print_update_inventory(inventory):\n",
" print(inventory)\n"
]
},
{
"cell_type": "code",
"execution_count": 59,
"id": "665cd0bb",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"{'t-shirt': 9, 'mug': 10, 'hat': 9, 'book': 10, 'keychain': 10}\n"
]
}
],
"source": [
"print_update_inventory(inventory)"
]
},
{
"cell_type": "code",
"execution_count": 60,
"id": "ae2051f0",
"metadata": {},
"outputs": [],
"source": [
"def run_store_management(products):\n",
" # 1. Inizializza l'inventario\n",
" inventory = initialize_inventory(products)\n",
" \n",
" # 2. Raccogli gli ordini del cliente\n",
" customer_orders = get_customer_orders(products)\n",
" \n",
" # 3. Aggiorna l'inventario\n",
" inventory = update_inventory(customer_orders, inventory)\n",
" \n",
" # 4. Calcola le statistiche degli ordini\n",
" order_statistics = calculate_order_statistic(customer_orders, products)\n",
" \n",
" # 5. Stampa le statistiche\n",
" print_order_statistics(order_statistics)\n",
" \n",
" # 6. Stampa l'inventario aggiornato\n",
" print_update_inventory(inventory)"
]
},
{
"cell_type": "code",
"execution_count": 61,
"id": "7a9f2bad",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Total Products Ordered: 3\n",
"Percentage of Unique Products Ordered: 60.00%\n",
"{'milk': 59, 'beer': 49, 'water': 29}\n"
]
}
],
"source": [
"run_store_management(products)"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"display_name": ".venv (3.14.6.final.0)",
"language": "python",
"name": "python3"
},
Expand All @@ -61,7 +368,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.13"
"version": "3.14.6"
}
},
"nbformat": 4,
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