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145 changes: 145 additions & 0 deletions .ipynb_checkpoints/lab-python-flow-control-checkpoint.ipynb
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{
"cells": [
{
"cell_type": "markdown",
"id": "d3bfc191-8885-42ee-b0a0-bbab867c6f9f",
"metadata": {
"tags": []
},
"source": [
"# Lab | Flow Control"
]
},
{
"cell_type": "markdown",
"id": "3851fcd1-cf98-4653-9c89-e003b7ec9400",
"metadata": {},
"source": [
"## Exercise: Managing Customer Orders Optimized\n",
"\n",
"In the last lab, you were starting an online store that sells various products. To ensure smooth operations, you developed a program that manages customer orders and inventory.\n",
"\n",
"You did so without using flow control. Let's go a step further and improve this code.\n",
"\n",
"Follow the steps below to complete the exercise:\n",
"\n",
"1. Look at your code from the lab data structures, and improve repeated code with loops.\n",
"\n",
"2. Instead of asking the user to input the name of three products that a customer wants to order, do the following:\n",
" \n",
" a. Prompt the user to enter the name of a product that a customer wants to order.\n",
" \n",
" b. Add the product name to the \"customer_orders\" set.\n",
" \n",
" c. Ask the user if they want to add another product (yes/no).\n",
" \n",
" d. Continue the loop until the user does not want to add another product.\n",
"\n",
"3. Instead of updating the inventory by subtracting 1 from the quantity of each product, only do it for the products that were ordered (those in \"customer_orders\")."
]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "e2292555-20b3-4e8d-b123-a87cef68f85c",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Inventario inicial: {'t-shirt': 50, 'mug': 50, 'hat': 50, 'book': 50, 'keychain': 50}\n"
]
}
],
"source": [
"products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n",
"inventory = {\"t-shirt\": 50, \"mug\": 50, \"hat\": 50, \"book\": 50, \"keychain\": 50}\n",
"costumer_orders = set()\n",
"\n",
"print('Inventario inicial:', inventory)"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "3c134028-4275-4c94-87c6-45256ce9c6ff",
"metadata": {},
"outputs": [
{
"name": "stdin",
"output_type": "stream",
"text": [
"Please enter a product: mug\n",
"Would you like to order another product (yes/no): no\n"
]
}
],
"source": [
"adding_products = 'yes' #Inicializa la variable de control\n",
"\n",
"while adding_products == 'yes':\n",
" \n",
" # a. Pide al usuario que ingrese el nombre del producto\n",
" product_name = input('Please enter a product: ')\n",
" \n",
" # b. Añade el producto al conjunto\n",
" costumer_orders.add(product_name) # Llamamos al método .add() con paréntesis\n",
" \n",
" # c. Pregunta si desea añadir otro producto y convierte a minúsculas inmediatamente\n",
" # d. Guarda la respuesta del usuario directamente en la variable de control\n",
" adding_products = input('Would you like to order another product (yes/no): ').lower() "
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "85a860e2-41f7-4e7f-9113-c37d14196008",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Inventario actualizado: {'t-shirt': 50, 'mug': 49, 'hat': 50, 'book': 50, 'keychain': 50}\n"
]
}
],
"source": [
"for product in costumer_orders:\n",
" inventory[product] = inventory[product] - 1\n",
"\n",
"print('Inventario actualizado:', inventory)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "72d3bbf3-30b8-4317-a174-59c6dc4ae76a",
"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": "3.13.9"
}
},
"nbformat": 4,
"nbformat_minor": 5
}
84 changes: 83 additions & 1 deletion lab-python-flow-control.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -37,6 +37,88 @@
"\n",
"3. Instead of updating the inventory by subtracting 1 from the quantity of each product, only do it for the products that were ordered (those in \"customer_orders\")."
]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "e2292555-20b3-4e8d-b123-a87cef68f85c",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Inventario inicial: {'t-shirt': 50, 'mug': 50, 'hat': 50, 'book': 50, 'keychain': 50}\n"
]
}
],
"source": [
"products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n",
"inventory = {\"t-shirt\": 50, \"mug\": 50, \"hat\": 50, \"book\": 50, \"keychain\": 50}\n",
"costumer_orders = set()\n",
"\n",
"print('Inventario inicial:', inventory)"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "3c134028-4275-4c94-87c6-45256ce9c6ff",
"metadata": {},
"outputs": [
{
"name": "stdin",
"output_type": "stream",
"text": [
"Please enter a product: mug\n",
"Would you like to order another product (yes/no): no\n"
]
}
],
"source": [
"adding_products = 'yes' #Inicializa la variable de control\n",
"\n",
"while adding_products == 'yes':\n",
" \n",
" # a. Pide al usuario que ingrese el nombre del producto\n",
" product_name = input('Please enter a product: ')\n",
" \n",
" # b. Añade el producto al conjunto\n",
" costumer_orders.add(product_name) # Llamamos al método .add() con paréntesis\n",
" \n",
" # c. Pregunta si desea añadir otro producto y convierte a minúsculas inmediatamente\n",
" # d. Guarda la respuesta del usuario directamente en la variable de control\n",
" adding_products = input('Would you like to order another product (yes/no): ').lower() "
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "85a860e2-41f7-4e7f-9113-c37d14196008",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Inventario actualizado: {'t-shirt': 50, 'mug': 49, 'hat': 50, 'book': 50, 'keychain': 50}\n"
]
}
],
"source": [
"for product in costumer_orders:\n",
" inventory[product] = inventory[product] - 1\n",
"\n",
"print('Inventario actualizado:', inventory)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "72d3bbf3-30b8-4317-a174-59c6dc4ae76a",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
Expand All @@ -55,7 +137,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.13"
"version": "3.13.9"
}
},
"nbformat": 4,
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