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279 changes: 277 additions & 2 deletions lab-python-functions.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -8,6 +8,281 @@
"# Lab | Functions"
]
},
{
"cell_type": "markdown",
"id": "f3641192",
"metadata": {},
"source": [
"## Exercise: Managing Customer Orders with Functions\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "10247dda",
"metadata": {},
"outputs": [],
"source": [
"# Products :\n",
"products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n",
"\n",
"# 1. Define a function named `initialize_inventory` that takes `products` as a parameter. \n",
"# Inside the function, implement the code for initializing the inventory dictionary using a loop and user input:\n",
"\n",
"def initialize_inventory(products):\n",
" \n",
" inventory = {}\n",
" print(\"\\nInventory\")\n",
"\n",
" for product in products:\n",
" quantity = int(input(f\"Enter the available quantity for {product}: \"))\n",
" inventory[product] = quantity\n",
"\n",
" return inventory\n",
"\n",
"# 2. Define a function named `get_customer_orders` that takes no parameters. \n",
"# Inside the function, implement the code for prompting the user to enter the product names using a loop. \n",
"# The function should return the `customer_orders` set:\n",
"\n",
"def get_customer_orders():\n",
" \n",
" customer_orders = set()\n",
" print(\"\\nCustomer order:\" )\n",
"\n",
" while True:\n",
" product_name = input(\"Enter the name of a product to add to the order: \").strip().lower()\n",
"\n",
" if product_name in products:\n",
" customer_orders.add(product_name)\n",
" print(f\"{product_name} added to the order.\")\n",
" else:\n",
" print(\"Invalid product, this item will be ignored.\")\n",
"\n",
" another = input(\"Do you want to add another product? (yes/no): \").strip().lower()\n",
" if another not in (\"yes\", \"y\", \"Yes\", \"Y\", \"YES\"):\n",
" break\n",
"\n",
" return customer_orders\n",
"\n",
"# 3. Define a function named `update_inventory` that takes `customer_orders` and `inventory` as parameters. \n",
"# Inside the function, implement the code for updating the inventory dictionary based on the customer orders:\n",
"\n",
"def update_inventory(customer_orders, inventory):\n",
"\n",
" for ordered_product in customer_orders:\n",
" if inventory.get(ordered_product, 0) > 0:\n",
" inventory[ordered_product] -= 1\n",
" else:\n",
" print(f\"Warning: no inventory left for '{ordered_product}'.\")\n",
"\n",
"# 4. Define a function named `calculate_order_statistics` that takes `customer_orders` and `products` as parameters. \n",
"# Inside the function, implement the code for calculating the order statistics (total products ordered, and percentage of unique products ordered). \n",
"# The function should return these values:\n",
"\n",
"def calculate_order_statistics(customer_orders, products):\n",
"\n",
" total_products_ordered = len(customer_orders)\n",
" percentage_ordered = (total_products_ordered / len(products)) * 100\n",
" return total_products_ordered, percentage_ordered\n",
"\n",
"# 5. Define a function named `print_order_statistics` that takes `order_statistics` as a parameter. \n",
"# Inside the function, implement the code for printing the order statistics:\n",
"\n",
"def print_order_statistics(order_statistics):\n",
" \n",
" total_products_order, percentage_order = order_statistics\n",
"#Tuple unpacking : to assign the values of a tuple to multiple variables in a single line\n",
"\n",
" print(\"\\nOrder Statistics:\")\n",
" print(f\"Total Products Ordered: {total_products_order}\")\n",
" print(f\"Percentage of Products Ordered: {percentage_order:.2f}%\")\n",
"\n",
"#6. Define a function named `print_updated_inventory` that takes `inventory` as a parameter. \n",
"# Inside the function, implement the code for printing the updated inventory:\n",
"def print_updated_inventory(inventory):\n",
" \n",
" print(\"\\nUpdated Inventory\")\n",
" for product in products:\n",
" print(f\"{product}: {inventory[product]}\")\n",
"\n",
"# 7. Call the functions in the appropriate sequence to execute the program and manage customer orders.\n",
"# Hints for functions:\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",
"\n",
"def final_inventory():\n",
" \n",
" inventory = initialize_inventory(products)\n",
"\n",
" \n",
" customer_orders = get_customer_orders()\n",
"\n",
" \n",
" order_stats = calculate_order_statistics(customer_orders, products)\n",
"\n",
" \n",
" update_inventory(customer_orders, inventory)\n",
"\n",
" \n",
" print_order_statistics(order_stats)\n",
" print_updated_inventory(inventory)\n",
"\n",
"\n",
"if __name__ == \"__main__\":\n",
" final_inventory()\n"
]
},
{
"cell_type": "markdown",
"id": "5f167888",
"metadata": {},
"source": [
"## Exercise: Managing Customer Orders with Functions\n"
]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "b9e16173",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"Inventory\n",
"\n",
"Customer order:\n",
"mug added to the order.\n",
"\n",
"Order Statistics:\n",
"Total Products Ordered: 1\n",
"Percentage of Products Ordered: 20.00%\n",
"\n",
"Updated Inventory\n",
"t-shirt: 5\n",
"mug: 4\n",
"hat: 5\n",
"book: 5\n",
"keychain: 5\n"
]
}
],
"source": [
"# Products :\n",
"products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n",
"\n",
"# 1. Define a function named `initialize_inventory` that takes `products` as a parameter. \n",
"# Inside the function, implement the code for initializing the inventory dictionary using a loop and user input:\n",
"\n",
"def initialize_inventory(products):\n",
" \n",
" inventory = {}\n",
" print(\"\\nInventory\")\n",
"\n",
" for product in products:\n",
" quantity = int(input(f\"Enter the available quantity for {product}: \"))\n",
" inventory[product] = quantity\n",
"\n",
" return inventory\n",
"\n",
"# 2. Define a function named `get_customer_orders` that takes no parameters. \n",
"# Inside the function, implement the code for prompting the user to enter the product names using a loop. \n",
"# The function should return the `customer_orders` set:\n",
"\n",
"def get_customer_orders():\n",
" \n",
" customer_orders = set()\n",
" print(\"\\nCustomer order:\" )\n",
"\n",
" while True:\n",
" product_name = input(\"Enter the name of a product to add to the order: \").strip().lower()\n",
"\n",
" if product_name in products:\n",
" customer_orders.add(product_name)\n",
" print(f\"{product_name} added to the order.\")\n",
" else:\n",
" print(\"Invalid product, this item will be ignored.\")\n",
"\n",
" another = input(\"Do you want to add another product? (yes/no): \").strip().lower()\n",
" if another not in (\"yes\", \"y\", \"Yes\", \"Y\", \"YES\"):\n",
" break\n",
"\n",
" return customer_orders\n",
"\n",
"# 3. Define a function named `update_inventory` that takes `customer_orders` and `inventory` as parameters. \n",
"# Inside the function, implement the code for updating the inventory dictionary based on the customer orders:\n",
"\n",
"def update_inventory(customer_orders, inventory):\n",
"\n",
" for ordered_product in customer_orders:\n",
" if inventory.get(ordered_product, 0) > 0:\n",
" inventory[ordered_product] -= 1\n",
" else:\n",
" print(f\"Warning: no inventory left for '{ordered_product}'.\")\n",
"\n",
"# 4. Define a function named `calculate_order_statistics` that takes `customer_orders` and `products` as parameters. \n",
"# Inside the function, implement the code for calculating the order statistics (total products ordered, and percentage of unique products ordered). \n",
"# The function should return these values:\n",
"\n",
"def calculate_order_statistics(customer_orders, products):\n",
"\n",
" total_products_ordered = len(customer_orders)\n",
" percentage_ordered = (total_products_ordered / len(products)) * 100\n",
" return total_products_ordered, percentage_ordered\n",
"\n",
"# 5. Define a function named `print_order_statistics` that takes `order_statistics` as a parameter. \n",
"# Inside the function, implement the code for printing the order statistics:\n",
"\n",
"def print_order_statistics(order_statistics):\n",
" \n",
" total_products_order, percentage_order = order_statistics\n",
"#Tuple unpacking : to assign the values of a tuple to multiple variables in a single line\n",
"\n",
" print(\"\\nOrder Statistics:\")\n",
" print(f\"Total Products Ordered: {total_products_order}\")\n",
" print(f\"Percentage of Products Ordered: {percentage_order:.2f}%\")\n",
"\n",
"#6. Define a function named `print_updated_inventory` that takes `inventory` as a parameter. \n",
"# Inside the function, implement the code for printing the updated inventory:\n",
"def print_updated_inventory(inventory):\n",
" \n",
" print(\"\\nUpdated Inventory\")\n",
" for product in products:\n",
" print(f\"{product}: {inventory[product]}\")\n",
"\n",
"# 7. Call the functions in the appropriate sequence to execute the program and manage customer orders.\n",
"# Hints for functions:\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",
"\n",
"def final_inventory():\n",
" \n",
" inventory = initialize_inventory(products)\n",
"\n",
" \n",
" customer_orders = get_customer_orders()\n",
"\n",
" \n",
" order_stats = calculate_order_statistics(customer_orders, products)\n",
"\n",
" \n",
" update_inventory(customer_orders, inventory)\n",
"\n",
" \n",
" print_order_statistics(order_stats)\n",
" print_updated_inventory(inventory)\n",
"\n",
"\n",
"if __name__ == \"__main__\":\n",
" final_inventory()\n"
]
},
{
"cell_type": "markdown",
"id": "0c581062-8967-4d93-b06e-62833222f930",
Expand Down Expand Up @@ -47,7 +322,7 @@
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"display_name": "base",
"language": "python",
"name": "python3"
},
Expand All @@ -61,7 +336,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.13"
"version": "3.13.5"
}
},
"nbformat": 4,
Expand Down