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Day2 Lab1 solved #576

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280 changes: 280 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": "fa0f21e3-48c8-4d6f-83c9-8fd968140b54",
"metadata": {},
"outputs": [],
"source": [
"# Step 1: Define the product list\n",
"products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "d7ed8711-58e7-46b9-8750-0eda5a574ffb",
"metadata": {},
"outputs": [],
"source": [
"# Step 2: Create an empty dictionary\n",
"inventory = {}"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "126124a1-1636-4f01-988a-6014ce17fa4e",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Enter the quantity for each product: \n"
]
},
{
"name": "stdin",
"output_type": "stream",
"text": [
"Quantity of t-shirt: 8\n",
"Quantity of mug: 7\n",
"Quantity of hat: 4\n",
"Quantity of book: 5\n",
"Quantity of keychain: 6\n"
]
}
],
"source": [
"# Step 3: Ask the user for the quantity of each product\n",
"print(\"Enter the quantity for each product: \")\n",
"for item in products:\n",
" quantity = int(input(f\"Quantity of {item}: \"))\n",
" inventory[item] = quantity"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "2f9794a8-db9a-4807-a80f-56f50ef88259",
"metadata": {},
"outputs": [],
"source": [
"# Step 4: Create an empty set\n",
"customer_orders = set()"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "018ea7ac-0c16-49c6-8c53-1d23b6a5af04",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Available products: ['t-shirt', 'mug', 'hat', 'book', 'keychain']\n"
]
},
{
"name": "stdin",
"output_type": "stream",
"text": [
"Enter the product that customer wants to order: mug\n",
"Do you want to add another product? (yes/no): no\n"
]
}
],
"source": [
"#Step 5: Ask the user to enter the name of a product that a customer wants to order.\n",
"\n",
"print(\"Available products: \", products)\n",
"\n",
"while True:\n",
" product = input(\"Enter the product that customer wants to order: \").strip().lower()\n",
"\n",
" while product not in products:\n",
" print(\"Invalid Product. Choose from: \", products)\n",
" product = input(\"Enter a valid product: \").strip().lower()\n",
"\n",
" customer_orders.add(product)\n",
"\n",
" another_product = input(\"Do you want to add another product? (yes/no): \").strip().lower()\n",
" \n",
" if another_product != \"yes\":\n",
" break"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "66d33615-de38-48d8-b669-ef0d84a8a2f8",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Customer Orders: {'mug'}\n"
]
}
],
"source": [
"# Step 6: Print ordered products\n",
"\n",
"print(\"Customer Orders: \", customer_orders)"
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "ead4276b-1c70-47b5-a956-69243b376061",
"metadata": {},
"outputs": [],
"source": [
"# Step 7: Calculate order statistics\n",
"\n",
"total_products_ordered = len(customer_orders)\n",
"percentage_ordered = (total_products_ordered / len(products)) * 100\n",
"\n",
"# Storing in tuple\n",
"order_status = (total_products_ordered, percentage_ordered)"
]
},
{
"cell_type": "code",
"execution_count": 8,
"id": "e9f30394-8f9d-4ff5-a4ef-85e2faefd9e9",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Order statistics: \n",
"Total products ordered: 1\n",
"Percentage of products ordered: 20.00%\n"
]
}
],
"source": [
"# Step 8: Print the statistics\n",
"\n",
"print(\"Order statistics: \")\n",
"print(\"Total products ordered: \", order_status[0])\n",
"print(\"Percentage of products ordered: \", f\"{order_status[1]:.2f}%\")"
]
},
{
"cell_type": "code",
"execution_count": 9,
"id": "e9ed43d0-ef15-4c1e-96ff-532c90837782",
"metadata": {},
"outputs": [],
"source": [
"# Step 9: Update the inventory only for the ordered items\n",
"\n",
"for item in customer_orders:\n",
" if inventory[item] > 0:\n",
" inventory[item] -= 1"
]
},
{
"cell_type": "code",
"execution_count": 10,
"id": "3621dce5-f712-4d1a-8aae-df2bc8d15eda",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Updated inventory: \n",
"t-shirt: 8\n",
"mug: 6\n",
"hat: 4\n",
"book: 5\n",
"keychain: 6\n"
]
}
],
"source": [
"# Step 10:Updated inventory\n",
"\n",
"print(\"Updated inventory: \")\n",
"for item, quantity in inventory.items():\n",
" print(f\"{item}: {quantity}\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "0bfe2cee-f14d-4eb0-a695-e5351f3e17a4",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
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"codemirror_mode": {
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},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
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"version": "3.13.5"
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},
"nbformat": 4,
"nbformat_minor": 5
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