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solve lab #462

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e8cbcb3
solve lab
TebasMartinez Jul 9, 2025
c77f849
add comments from lab review
TebasMartinez Jul 10, 2025
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269 changes: 269 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": "278ac3c2",
"metadata": {},
"outputs": [],
"source": [
"# 1\n",
"products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "e60fd14c",
"metadata": {},
"outputs": [],
"source": [
"# 2\n",
"inventory = {}"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "872f0dba",
"metadata": {},
"outputs": [
{
"name": "stdin",
"output_type": "stream",
"text": [
"Please provide number of t-shirt available: 8\n",
"Please provide number of mug available: 14\n",
"Please provide number of hat available: 7\n",
"Please provide number of book available: 9\n",
"Please provide number of keychain available: 32\n"
]
}
],
"source": [
"# 3\n",
"for product in products:\n",
" inventory[product] = input(f\"Please provide number of {product} available: \")"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "d84f8926",
"metadata": {},
"outputs": [],
"source": [
"# 4\n",
"customer_orders = set()"
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "9a80f6b8",
"metadata": {},
"outputs": [
{
"name": "stdin",
"output_type": "stream",
"text": [
"Please add product to the order: mug\n",
"Would you like to add another product? (yes/no) yes\n",
"Please add product to the order: hat\n",
"Would you like to add another product? (yes/no) yes\n",
"Please add product to the order: book\n",
"Would you like to add another product? (yes/no) yes\n",
"Please add product to the order: keychain\n",
"Would you like to add another product? (yes/no) no\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Thank you for your order!\n"
]
}
],
"source": [
"# 5\n",
"answer = \"yes\"\n",
"while answer != \"no\":\n",
" customer_orders.add(input(f\"Please add product to the order: \"))\n",
" answer = input(\"Would you like to add another product? (yes/no) \")\n",
"if answer == \"no\": # \"else\" is also possible after the while loop\n",
" print(\"Thank you for your order!\")"
]
},
{
"cell_type": "code",
"execution_count": 8,
"id": "9e644b30",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"The products in the order are: {'mug', 'keychain', 'hat', 'book'}\n"
]
}
],
"source": [
"# 6\n",
"print(f\"The products in the order are: {customer_orders}\")"
]
},
{
"cell_type": "code",
"execution_count": 9,
"id": "524ff43e",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"The number of products in the order is 4.\n"
]
}
],
"source": [
"# 7\n",
"order_length = len(customer_orders)\n",
"print(f\"The number of products in the order is {order_length}.\")\n",
"\n",
"products_length = len(products)\n",
"\n",
"total_products = 0 # more efficient: sum(inventory.values())\n",
"for product in products:\n",
" total_products += int(inventory[product])\n",
"\n",
"perc_ordered = (order_length / total_products) * 100\n",
"\n",
"stats_tuple = (products_length, perc_ordered)"
]
},
{
"cell_type": "code",
"execution_count": 15,
"id": "3bf729f7",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Order Statistics:\n",
"Total Products Ordered: 4\n",
"Percentage of Products Ordered: 5.71%\n"
]
}
],
"source": [
"# 8\n",
"print(\"Order Statistics:\")\n",
"print(f\"Total Products Ordered: {order_length}\")\n",
"print(f\"Percentage of Products Ordered: {round(perc_ordered, 2)}%\")"
]
},
{
"cell_type": "code",
"execution_count": 16,
"id": "ab59108e",
"metadata": {},
"outputs": [],
"source": [
"# 9\n",
"for product in customer_orders:\n",
" if product in inventory.keys():\n",
" qty = int(inventory[product])\n",
" qty -= 1\n",
" inventory[product] = str(qty)"
]
},
{
"cell_type": "code",
"execution_count": 17,
"id": "2776901b",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"t-shirt: 8\n",
"mug: 13\n",
"hat: 6\n",
"book: 8\n",
"keychain: 31\n"
]
}
],
"source": [
"# 10\n",
"for product in products:\n",
" print(f\"{product}: {inventory[product]}\")"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python [conda env:base] *",
"language": "python",
"name": "conda-base-py"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.12.7"
}
},
"nbformat": 4,
"nbformat_minor": 5
}
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