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Lab python functions Eylin
eymeklaus Jan 19, 2026
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277 changes: 263 additions & 14 deletions lab-python-functions.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -20,34 +20,283 @@
"In the previous exercise, you improved the code for managing customer orders by using loops and flow control. Now, let's take it a step further and refactor the code by introducing functions.\n",
"\n",
"Follow the steps below to complete the exercise:\n",
"7. Call the functions in the appropriate sequence to execute the program and manage customer orders.\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",
"Hints for functions:\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",
"- Consider the input parameters required for each function and their return values.\n",
"- Utilize function parameters and return values to transfer data between functions.\n",
"- Test your functions individually to ensure they work correctly.\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"
]
},
{
"cell_type": "markdown",
"id": "1b7f10d7",
"metadata": {},
"source": [
"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."
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "ba8a897e",
"metadata": {},
"outputs": [],
"source": [
"inventory_list = ['mug', 'hat', 'keychain', 'book', 't-shirt']\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",
"def initialize_inventory(products):\n",
" inventory = {}\n",
" for product in products: \n",
" qty = int(input(f\"Enter quantity for {product}: \")) \n",
" inventory[product] = qty\n",
" return inventory"
]
},
{
"cell_type": "markdown",
"id": "6610d470",
"metadata": {},
"source": [
"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"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "4300e4a8",
"metadata": {},
"outputs": [],
"source": [
"customer_orders = set()\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",
"def get_customers_orders(): \n",
" \n",
" continue_buying = \"Yes\"\n",
" \n",
" while continue_buying == \"Yes\":\n",
" product = input(\"What do you want to buy?: \")\n",
" customer_orders.add(product)\n",
" continue_buying = input(\"Do you want to continue buying? (Yes/No): \")\n",
" \n",
" return customer_orders"
]
},
{
"cell_type": "markdown",
"id": "20638e0d",
"metadata": {},
"source": [
"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."
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "9f784305",
"metadata": {},
"outputs": [],
"source": [
"inventory = {'mug': 1, 'hat': 2, 'keychain': 3, 'book': 4, 't-shirt': 5}\n",
"customer_orders = ('mug', 't-shirt')\n",
"\n",
"6. Define a function named `print_updated_inventory` that takes `inventory` as a parameter. Inside the function, implement the code for printing the updated inventory.\n",
"def update_inventory(customer_orders, inventory):\n",
" \n",
" for item in customer_orders:\n",
" if item in inventory:\n",
" inventory[item]-=1\n",
"\n",
"7. Call the functions in the appropriate sequence to execute the program and manage customer orders.\n",
" return inventory"
]
},
{
"cell_type": "markdown",
"id": "b7a40557",
"metadata": {},
"source": [
"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 (Number of different products)). The function should return these values."
]
},
{
"cell_type": "code",
"execution_count": 45,
"id": "5489e00c",
"metadata": {},
"outputs": [],
"source": [
"inventory = {'mug': 1, 'hat': 2, 'keychain': 3, 'book': 4, 't-shirt': 5}\n",
"customer_orders = ('mug', 't-shirt')\n",
"\n",
"Hints for functions:\n",
"def calculate_order_statistics(customer_orders, inventory):\n",
" total_products_ordered = len(customer_orders)\n",
" total_products_inventory = len(inventory)\n",
" percent_unique_products = (total_products_ordered/total_products_inventory)*100\n",
" \n",
" return total_products_ordered, percent_unique_products\n"
]
},
{
"cell_type": "markdown",
"id": "35a81169",
"metadata": {},
"source": [
"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."
]
},
{
"cell_type": "code",
"execution_count": 75,
"id": "61448a34",
"metadata": {},
"outputs": [],
"source": [
"def calculate_order_statistics(customer_orders, inventory):\n",
" total_products_ordered = len(set(customer_orders))\n",
" percentage_ordered = (total_products_ordered / len(inventory)) * 100\n",
" return total_products_ordered, percentage_ordered\n",
"\n",
"- Consider the input parameters required for each function and their return values.\n",
"- Utilize function parameters and return values to transfer data between functions.\n",
"- Test your functions individually to ensure they work correctly.\n",
"def print_order_statistics(order_statistics):\n",
" print(f\"Total unique products ordered: {order_statistics[0]}\")\n",
" print(f\"Percentage of unique products ordered: {order_statistics[1]:.2f}%\")\n"
]
},
{
"cell_type": "markdown",
"id": "9dc024e1",
"metadata": {},
"source": [
"6. Define a function named `print_updated_inventory` that takes `inventory` as a parameter. Inside the function, implement the code for printing the updated inventory."
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "87f8554a",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"{'mug': 0, 'hat': 2, 'keychain': 3, 'book': 4, 't-shirt': 4}\n"
]
}
],
"source": [
"def print_updated_inventory(inventory):\n",
" for product, qty in inventory.items():\n",
" print (f\"{product}: {qty}\")\n"
]
},
{
"cell_type": "markdown",
"id": "33520633",
"metadata": {},
"source": [
"7. Calling Functions"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "606189c9",
"metadata": {},
"outputs": [],
"source": [
"# Correct function call\n",
"inventory = initialize_inventory(inventory_list)\n",
"print(inventory)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "d390065f",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Thanks for your purchase.\n"
]
}
],
"source": [
"get_customers_orders()\n",
"print(\"Thanks for your purchase.\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "d1c25c92",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"{'mug': 0, 'hat': 2, 'keychain': 3, 'book': 4, 't-shirt': 4}"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"update_inventory(customer_orders, inventory)\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "9fc59c64",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"(2, 40.0)"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"calculate_order_statistics(customer_orders, inventory)\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "eaf3f015",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Total unique products ordered: 2\n",
"Percentage of unique products ordered: 40.00%\n"
]
}
],
"source": [
"# Calculating statistics based on your data\n",
"order_stats = calculate_order_statistics(customer_orders, inventory)\n",
"\n",
"\n"
"# Printing those statistics\n",
"print_order_statistics(order_stats)"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"display_name": "base",
"language": "python",
"name": "python3"
},
Expand All @@ -61,7 +310,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.13"
"version": "3.13.5"
}
},
"nbformat": 4,
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