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250 changes: 250 additions & 0 deletions .ipynb_checkpoints/Lab_Customer_Orders_Optimized-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": "ae754247-9485-4a86-8907-4c12180eb568",
"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": "68cc9e4b-be44-4963-b103-f79d607f01bc",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"=== Inventory Setup ===\n"
]
},
{
"name": "stdin",
"output_type": "stream",
"text": [
"Enter quantity for t-shirt: 10\n",
"Enter quantity for mug: 15\n",
"Enter quantity for hat: 18\n",
"Enter quantity for book: 12\n",
"Enter quantity for keychain: 13\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"Current Inventory: {'t-shirt': 10, 'mug': 15, 'hat': 18, 'book': 12, 'keychain': 13}\n"
]
}
],
"source": [
"# ----------------------------\n",
"# Lab | Data Structures – Optimized Customer Orders\n",
"# Student: Isailton da Silva\n",
"# ----------------------------\n",
"\n",
"# Step 1: Define the products\n",
"products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n",
"\n",
"# Step 2: Create an empty inventory dictionary\n",
"inventory = {}\n",
"\n",
"# Step 3: Fill inventory with quantities from user input\n",
"print(\"=== Inventory Setup ===\")\n",
"for product in products:\n",
" while True:\n",
" try:\n",
" quantity = int(input(f\"Enter quantity for {product}: \"))\n",
" if quantity < 0:\n",
" print(\"Quantity cannot be negative. Try again.\")\n",
" else:\n",
" inventory[product] = quantity\n",
" break\n",
" except ValueError:\n",
" print(\"Please enter a valid integer.\")\n",
"\n",
"print(\"\\nCurrent Inventory:\", inventory)"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "37995ef0-2b61-481a-8736-0ac6018ae150",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"=== Customer Orders ===\n"
]
},
{
"name": "stdin",
"output_type": "stream",
"text": [
"Enter a product to order: hat\n",
"Do you want to add another product? (yes/no): yes\n",
"Enter a product to order: book\n",
"Do you want to add another product? (yes/no): yes\n",
"Enter a product to order: mug\n",
"Do you want to add another product? (yes/no): yes\n",
"Enter a product to order: t-shirt\n",
"Do you want to add another product? (yes/no): no\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"Customer Orders: {'t-shirt', 'hat', 'book', 'mug'}\n"
]
}
],
"source": [
"# Step 4: Create empty set for customer orders\n",
"customer_orders = set()\n",
"\n",
"# Step 5: Loop to add products to the customer order\n",
"print(\"\\n=== Customer Orders ===\")\n",
"while True:\n",
" product = input(\"Enter a product to order: \").lower()\n",
" \n",
" if product not in products:\n",
" print(\"Product not in store. Please choose from:\", products)\n",
" continue\n",
" \n",
" customer_orders.add(product)\n",
" \n",
" another = input(\"Do you want to add another product? (yes/no): \").lower()\n",
" if another != \"yes\":\n",
" break\n",
"\n",
"print(\"\\nCustomer Orders:\", customer_orders)"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "1bdb08c4-9dee-47bf-b4c2-1c8afc4b3f01",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"=== Order Statistics ===\n",
"Total Products Ordered: 4\n",
"Percentage of Products Ordered: 80.00%\n"
]
}
],
"source": [
"# Step 6: Calculate order statistics\n",
"total_products_ordered = len(customer_orders)\n",
"percentage_ordered = (total_products_ordered / len(products)) * 100\n",
"\n",
"order_status = (total_products_ordered, percentage_ordered)\n",
"\n",
"print(\"\\n=== Order Statistics ===\")\n",
"print(f\"Total Products Ordered: {total_products_ordered}\")\n",
"print(f\"Percentage of Products Ordered: {percentage_ordered:.2f}%\")"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "85f64135-f716-4357-bc74-f9a3a5316f3a",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"=== Updated Inventory ===\n",
"t-shirt: 9\n",
"mug: 14\n",
"hat: 17\n",
"book: 11\n",
"keychain: 13\n"
]
}
],
"source": [
"# Step 7: Update inventory only for products actually ordered\n",
"for product in customer_orders:\n",
" if inventory.get(product, 0) > 0:\n",
" inventory[product] -= 1\n",
"\n",
"print(\"\\n=== Updated Inventory ===\")\n",
"for product, qty in inventory.items():\n",
" print(f\"{product}: {qty}\")"
]
},
{
"cell_type": "markdown",
"id": "0462df5f-1b7e-4de2-9ce9-8743dd73ff54",
"metadata": {},
"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": "3.13.5"
}
},
"nbformat": 4,
"nbformat_minor": 5
}
69 changes: 69 additions & 0 deletions .ipynb_checkpoints/lab-python-flow-control-checkpoint.ipynb
View file
Open in desktop
Original file line number Diff line number Diff line change
@@ -0,0 +1,69 @@
{
"cells": [
{
"cell_type": "markdown",
"id": "d3bfc191-8885-42ee-b0a0-bbab867c6f9f",
"metadata": {
"tags": []
},
"source": [
"# Lab | Flow Control"
]
},
{
"cell_type": "markdown",
"id": "ae754247-9485-4a86-8907-4c12180eb568",
"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": "markdown",
"id": "0462df5f-1b7e-4de2-9ce9-8743dd73ff54",
"metadata": {},
"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": "3.13.5"
}
},
"nbformat": 4,
"nbformat_minor": 5
}
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