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Updated lab version #509

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197 changes: 195 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 +75,204 @@
"\n",
"```\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "f7e8c06e",
"metadata": {},
"outputs": [],
"source": [
"products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "ab862057",
"metadata": {},
"outputs": [],
"source": [
"def initialize_inventory(products):\n",
" inventory = {product: int(input(\"Enter the available quantity of \" + product + \":\")) for product in products}\n",
" return inventory\n",
"print(inventory := initialize_inventory(products))"
]
},
{
"cell_type": "markdown",
"id": "f646f20a",
"metadata": {},
"source": [
"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."
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "c5fe6584",
"metadata": {},
"outputs": [],
"source": [
"def get_customer_orders():\n",
" customer_orders = set()\n",
" orders_quantity = int(input(\"Enter the number of customer orders:\"))\n",
" if orders_quantity <= 0:\n",
" print(\"You must order at least one product.\")\n",
" else:\n",
" while orders_quantity > len(customer_orders):\n",
" order = input(\"Enter the name of the product a customer wants to order:\").strip().lower()\n",
" if order in inventory:\n",
" if inventory[order] <= 0:\n",
" print(f\"Sorry, {order} is out of stock.\")\n",
" continue\n",
" else:\n",
" customer_orders.add(order)\n",
" print(f\"Added {order} to your order.\")\n",
" else:\n",
" print(f\"Sorry, we don't have {order} in our inventory.\")\n",
" order_continue = input(\"Do you want to continue with the order? (yes/no)\").strip().lower()\n",
" if order_continue in ['no', 'yes']:\n",
" if order_continue == 'yes':\n",
" while orders_quantity > len(customer_orders):\n",
" order = input(\"Enter the name of the product a customer wants to order:\").strip().lower()\n",
" if order in inventory:\n",
" if inventory[order] <= 0:\n",
" print(f\"Sorry, {order} is out of stock.\")\n",
" continue\n",
" else:\n",
" customer_orders.add(order)\n",
" print(f\"Added {order} to your order.\")\n",
" else:\n",
" print(\"Order completed\")\n",
" break\n",
" else:\n",
" print(\"Invalid input. Please enter 'yes' or 'no'.\")\n",
" continue\n",
" return customer_orders\n",
"customer_orders = get_customer_orders()"
]
},
{
"cell_type": "markdown",
"id": "529e93ae",
"metadata": {},
"source": [
"*ORDER STATISTICS FUNCIONS*"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "0e782160",
"metadata": {},
"outputs": [],
"source": [
"def calculate_order_statistics(customer_orders, products):\n",
" total_products_ordered = len(customer_orders)\n",
" percentage_ordered = (total_products_ordered / len(products)) * 100\n",
" return total_products_ordered, percentage_ordered\n",
"results = calculate_order_statistics(customer_orders, products)\n",
"total_products_ordered = results[0]\n",
"percentage_ordered = results[1]\n",
"\n",
"def print_order_statistics(total_products_ordered, percentage_ordered):\n",
" print(\"Order statistics:\")\n",
" print(\"Total products ordered:\", total_products_ordered)\n",
" print(\"Percentage of products ordered:\", percentage_ordered)\n",
"print_order_statistics(total_products_ordered, percentage_ordered)"
]
},
{
"cell_type": "markdown",
"id": "7b28f56a",
"metadata": {},
"source": [
"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": null,
"id": "68692266",
"metadata": {},
"outputs": [],
"source": [
"def calculate_total_price(customer_orders):\n",
" calculate_total_price = sum([float(input(f\"Enter the price for {order}:\")) for order in customer_orders])\n",
" print(\"Total price of the order: €\", calculate_total_price)\n",
" return calculate_total_price"
]
},
{
"cell_type": "markdown",
"id": "95b957e7",
"metadata": {},
"source": [
"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": 98,
"id": "7e8767a4",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Updated inventory: {'t-shirt': 10, 'mug': 10, 'hat': 10, 'book': 10, 'keychain': 10}\n"
]
}
],
"source": [
"def update_inventory(customer_orders, inventory):\n",
" inventory = {product: inventory[product] - 1 if product in customer_orders and inventory[product] > 0 else inventory[product] for product in inventory}\n",
" inventory = {product: quantity for product, quantity in inventory.items() if quantity > 0}\n",
" print(\"Updated inventory:\", inventory)\n",
" return inventory\n",
"inventory = update_inventory(customer_orders, inventory)"
]
},
{
"cell_type": "markdown",
"id": "1af7c938",
"metadata": {},
"source": [
"FINAL FUNCTIONS LAUNCHING"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "ff0c1260",
"metadata": {},
"outputs": [],
"source": [
"def launch_all():\n",
" inventory = initialize_inventory(products)\n",
" customer_orders = get_customer_orders()\n",
" calculate_order_statistics(customer_orders, products)\n",
" print_order_statistics(total_products_ordered, percentage_ordered)\n",
" inventory = update_inventory(customer_orders, inventory)\n",
" calculate_total_price(customer_orders)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "b06417fc",
"metadata": {},
"outputs": [],
"source": [
"launch_all()"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
Expand All @@ -93,7 +286,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.13"
"version": "3.12.9"
}
},
"nbformat": 4,
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