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LAB4 #257

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ead5534
LAB4
Hugoenri Oct 17, 2024
2f5531a
LAB4
Hugoenri Oct 17, 2024
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231 changes: 231 additions & 0 deletions .ipynb_checkpoints/lab-python-list-comprehension-checkpoint.ipynb
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{
"cells": [
{
"cell_type": "markdown",
"id": "25d7736c-ba17-4aff-b6bb-66eba20fbf4e",
"metadata": {},
"source": [
"# Lab | List, Dict and Set Comprehension"
]
},
{
"cell_type": "markdown",
"id": "7dd3cbde-675a-4b81-92c3-f728846dbe06",
"metadata": {},
"source": [
"## Exercise: Managing Customer Orders Optimized with Comprehension"
]
},
{
"cell_type": "markdown",
"id": "5d500160-2fb7-4777-b5e4-09d45ebaf328",
"metadata": {},
"source": [
"In the previous exercise, you developed a program to manage customer orders and inventory. Now, let's take it a step further and incorporate comprehension into your code.\n",
"\n",
"Follow the steps below to complete the exercise:\n",
"\n",
"1. Review your code from the previous exercise and identify areas where you can apply comprehension to simplify and streamline your code. \n",
"\n",
" - *Hint: Apply it to initialize inventory, updating the inventory and printing the updated inventory.*\n",
" \n",
" - For example, in initializing the inventory, we could have:\n",
" \n",
" ```python\n",
" def initialize_inventory(products):\n",
" inventory = {product: int(input(f\"Enter the quantity of {product}s available: \")) for product in products}\n",
" return inventory\n",
"\n",
" ```\n",
"<br>\n",
" \n",
" \n",
"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.\n",
"\n",
"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.\n",
"\n",
"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.\n",
"\n",
"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\n",
"\n",
"```\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "d77400a0-c260-46a8-89aa-fe727059bd99",
"metadata": {},
"outputs": [],
"source": [
"products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "fb7e3905-ff7c-49e7-9db9-d83c345028b5",
"metadata": {},
"outputs": [],
"source": [
"def initialize_inventory(products):\n",
" inventory = {product: int(input(f\"Enter the quantity of {product}s available: \")) for product in products}\n",
" return inventory"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "c6f54de4-9a93-4643-8cec-3ed6c0a1e522",
"metadata": {},
"outputs": [],
"source": [
"get_customer_orders()"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "cf3f3e54-9e36-4cd1-96d4-49b2b951c903",
"metadata": {},
"outputs": [],
"source": [
"def get_customer_orders():\n",
" num_pedidos = int(input(\"Ingrese el número de pedidos del cliente: \"))\n",
" return [input('Introduce el nombre del producto que deseas pedir: ') for _ in range(num_pedidos)]\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "bc09b94f-20eb-4f30-a01f-f3aba5b0dae2",
"metadata": {},
"outputs": [],
"source": [
"def update_inventory(customer_orders, inventory):\n",
" inventory = {product: inventory[product] - 1 if product in customer_orders else inventory[product] for product in inventory}\n",
" inventory = {product: cantidad for product, cantidad in inventory.items() if cantidad > 0}\n",
" return inventory"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "f42d74e7-1cf3-458d-9d09-1b6b0381d26a",
"metadata": {},
"outputs": [],
"source": [
"def print_updated_inventory(inventory):\n",
" print(\"\\nInventario actualizado:\")\n",
" [print(f\"{product}: {quantity}\") for product, quantity in inventory.items()]"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "0fbd4b33-f7fd-424f-90b9-8d494bda916d",
"metadata": {},
"outputs": [],
"source": [
"for product in customer_orders:\n",
" if product in inventory and inventory[costumer_orders] > 0:\n",
" inventory[product] -= 1\n",
" else:\n",
" print(f\"No hay suficiente inventario para el producto: {product}\")\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "9f05aa32-fab1-480d-ab2f-d785e427f17b",
"metadata": {},
"outputs": [],
"source": [
"def calculate_total_price(customer_orders):\n",
" total_price = sum(float(input(f\"Ingrese el precio de {producto}: \")) for producto in customer_orders)\n",
" return total_price\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "aa34ed01-14b7-45eb-95b0-a0886536eca0",
"metadata": {},
"outputs": [],
"source": [
"inventory = initialize_inventory(products)\n",
"customer_orders = get_customer_orders(products)\n",
"inventory = update_inventory(customer_orders, inventory)\n",
"order_statistics = calculate_order_statistics(customer_orders, products)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "6b045ab9-3c9f-4a31-ad3e-59847d31e89b",
"metadata": {},
"outputs": [],
"source": [
"def print_order_statistics(order_statistics):\n",
" print(\"Order Statistics:\")\n",
" print(f\"Total Products Ordered: {order_statistics[0]}\")\n",
" print(f\"Percentage of Products Ordered: {order_statistics[1]}\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "ca4d3a40-d3e9-48cf-a374-ddcbcb912be2",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.12.4"
}
},
"nbformat": 4,
"nbformat_minor": 5
}
132 changes: 131 additions & 1 deletion lab-python-list-comprehension.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -75,6 +75,136 @@
"\n",
"```\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "d77400a0-c260-46a8-89aa-fe727059bd99",
"metadata": {},
"outputs": [],
"source": [
"products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "fb7e3905-ff7c-49e7-9db9-d83c345028b5",
"metadata": {},
"outputs": [],
"source": [
"def initialize_inventory(products):\n",
" inventory = {product: int(input(f\"Enter the quantity of {product}s available: \")) for product in products}\n",
" return inventory"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "c6f54de4-9a93-4643-8cec-3ed6c0a1e522",
"metadata": {},
"outputs": [],
"source": [
"get_customer_orders()"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "cf3f3e54-9e36-4cd1-96d4-49b2b951c903",
"metadata": {},
"outputs": [],
"source": [
"def get_customer_orders():\n",
" num_pedidos = int(input(\"Ingrese el número de pedidos del cliente: \"))\n",
" return [input('Introduce el nombre del producto que deseas pedir: ') for _ in range(num_pedidos)]\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "bc09b94f-20eb-4f30-a01f-f3aba5b0dae2",
"metadata": {},
"outputs": [],
"source": [
"def update_inventory(customer_orders, inventory):\n",
" inventory = {product: inventory[product] - 1 if product in customer_orders else inventory[product] for product in inventory}\n",
" inventory = {product: cantidad for product, cantidad in inventory.items() if cantidad > 0}\n",
" return inventory"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "f42d74e7-1cf3-458d-9d09-1b6b0381d26a",
"metadata": {},
"outputs": [],
"source": [
"def print_updated_inventory(inventory):\n",
" print(\"\\nInventario actualizado:\")\n",
" [print(f\"{product}: {quantity}\") for product, quantity in inventory.items()]"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "0fbd4b33-f7fd-424f-90b9-8d494bda916d",
"metadata": {},
"outputs": [],
"source": [
"for product in customer_orders:\n",
" if product in inventory and inventory[costumer_orders] > 0:\n",
" inventory[product] -= 1\n",
" else:\n",
" print(f\"No hay suficiente inventario para el producto: {product}\")\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "9f05aa32-fab1-480d-ab2f-d785e427f17b",
"metadata": {},
"outputs": [],
"source": [
"def calculate_total_price(customer_orders):\n",
" total_price = sum(float(input(f\"Ingrese el precio de {producto}: \")) for producto in customer_orders)\n",
" return total_price\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "aa34ed01-14b7-45eb-95b0-a0886536eca0",
"metadata": {},
"outputs": [],
"source": [
"inventory = initialize_inventory(products)\n",
"customer_orders = get_customer_orders(products)\n",
"inventory = update_inventory(customer_orders, inventory)\n",
"order_statistics = calculate_order_statistics(customer_orders, products)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "6b045ab9-3c9f-4a31-ad3e-59847d31e89b",
"metadata": {},
"outputs": [],
"source": [
"def print_order_statistics(order_statistics):\n",
" print(\"Order Statistics:\")\n",
" print(f\"Total Products Ordered: {order_statistics[0]}\")\n",
" print(f\"Percentage of Products Ordered: {order_statistics[1]}\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "ca4d3a40-d3e9-48cf-a374-ddcbcb912be2",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
Expand All @@ -93,7 +223,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.13"
"version": "3.12.4"
}
},
"nbformat": 4,
Expand Down