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183 changes: 181 additions & 2 deletions lab-python-list-comprehension.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -75,11 +75,190 @@
"\n",
"```\n"
]
},
{
"cell_type": "markdown",
"id": "1767f4ea",
"metadata": {},
"source": [
"1. Review your code from the previous exercise and identify areas where you can apply comprehension to simplify and streamline your code."
]
},
{
"cell_type": "code",
"execution_count": 54,
"id": "bb6df10a",
"metadata": {},
"outputs": [],
"source": [
"# Creamos una lista de productos\n",
"products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]"
]
},
{
"cell_type": "code",
"execution_count": 55,
"id": "e6f3017b",
"metadata": {},
"outputs": [],
"source": [
"# Comprimimos la funcion initialize_inventory\n",
"def initialize_inventory(products):\n",
" return {product: int(input(f\"Enter the quantity of {product}s available: \")) for product in products}"
]
},
{
"cell_type": "markdown",
"id": "ba8d4de9",
"metadata": {},
"source": [
"2. Modify the function get_customer_orders so it prompts the user to enter the number of customer orders and gathers the product names using a loop and user input. Use comprehension."
]
},
{
"cell_type": "code",
"execution_count": 56,
"id": "a8743414",
"metadata": {},
"outputs": [],
"source": [
"# Comprimimos la funcion get_customer_order\n",
"def get_customer_order(inventory):\n",
" num_orders = int(input(\"Enter the number of customer orders: \"))\n",
" orders = [input(\"Enter the product name of a product that a customer wants to order: \").strip().lower() for _ in range(num_orders)]\n",
" return [order for order in orders if order in inventory], num_orders\n"
]
},
{
"cell_type": "markdown",
"id": "e5241541",
"metadata": {},
"source": [
"3. Add a new function to calculate the total price of the customer order. For each product in customer_orders, prompt the user to enter the price of that product. Use comprehension to calculate the total price. Note: assume that the user can only have 1 unit of each product."
]
},
{
"cell_type": "code",
"execution_count": 57,
"id": "978c77b2",
"metadata": {},
"outputs": [],
"source": [
"# Añadimos una nueva funcion para calcular precios\n",
"def calculate_total_price(customer_orders):\n",
" total = 0\n",
" for product in customer_orders:\n",
" price = float(input(f\"Enter the price of {product}: \"))\n",
" total += price\n",
" print(f\"Total Price: {total:}\")\n",
" return total"
]
},
{
"cell_type": "markdown",
"id": "f95c3b5e",
"metadata": {},
"source": [
"4. Modify the update_inventory function to remove the product from the inventory if its quantity becomes zero after fulfilling the customer orders. Use comprehension to filter out the products with a quantity of zero from the inventory."
]
},
{
"cell_type": "code",
"execution_count": 58,
"id": "a1e2df07",
"metadata": {},
"outputs": [],
"source": [
"# Comprimos la funcion update_inventory\n",
"def update_inventory(inventory, customer_orders):\n",
" new_inventory = {product: quantity-1 if product in customer_orders else quantity for product, quantity in inventory.items() if quantity-1 > 0 or product not in customer_orders}\n",
" print(\"Udpate Inventory:\")\n",
" for product, quantity in new_inventory.items():\n",
" print(f\"{product}: {quantity}\")\n",
" return new_inventory"
]
},
{
"cell_type": "markdown",
"id": "500026a1",
"metadata": {},
"source": [
"5. Print the total price of the customer order.\n",
"\n",
"Your code should produce output similar to the following:\n",
"\n",
"```python\n",
"Enter the quantity of t-shirts available: 5\n",
"Enter the quantity of mugs available: 4\n",
"Enter the quantity of hats available: 3\n",
"Enter the quantity of books available: 2\n",
"Enter the quantity of keychains available: 1\n",
"Enter the number of customer orders: 2\n",
"Enter the name of a product that a customer wants to order: hat\n",
"Enter the name of a product that a customer wants to order: keychain\n",
"\n",
"Order Statistics:\n",
"Total Products Ordered: 2\n",
"Percentage of Unique Products Ordered: 40.0\n",
"\n",
"Updated Inventory:\n",
"t-shirt: 5\n",
"mug: 4\n",
"hat: 2\n",
"book: 2\n",
"Enter the price of keychain: 5\n",
"Enter the price of hat: 10\n",
"Total Price: 15.0"
]
},
{
"cell_type": "code",
"execution_count": 59,
"id": "45f649c7",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"Order Statistics: \n",
"Total Products Ordered: 2\n",
"Percentage of Unique Products Ordered: 40.0%\n",
"Udpate Inventory:\n",
"t-shirt: 5\n",
"mug: 4\n",
"hat: 2\n",
"book: 2\n",
"Total Price: 15.0\n"
]
}
],
"source": [
"\n",
"def main():\n",
" products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n",
"\n",
" inventory = initialize_inventory(products)\n",
" customer_orders, num_orders = get_customer_order(inventory)\n",
"\n",
" print(\"\\nOrder Statistics: \")\n",
" print(f\"Total Products Ordered: {len(customer_orders)}\")\n",
" percentage = (len(customer_orders) / len(inventory)) * 100\n",
" print(f\"Percentage of Unique Products Ordered: {percentage:}%\")\n",
"\n",
" update_inventory(inventory, customer_orders)\n",
" calculate_total_price(customer_orders)\n",
"\n",
"if __name__ == \"__main__\":\n",
" main()\n",
" "
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
Expand All @@ -93,7 +272,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.13"
"version": "3.12.9"
}
},
"nbformat": 4,
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