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395 changes: 395 additions & 0 deletions lab_python_flow_control.ipynb
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{
"cells": [
{
"cell_type": "markdown",
"id": "d3bfc191-8885-42ee-b0a0-bbab867c6f9f",
"metadata": {
"id": "d3bfc191-8885-42ee-b0a0-bbab867c6f9f"
},
"source": [
"# Lab | Flow Control"
]
},
{
"cell_type": "markdown",
"id": "3851fcd1-cf98-4653-9c89-e003b7ec9400",
"metadata": {
"id": "3851fcd1-cf98-4653-9c89-e003b7ec9400"
},
"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": null,
"id": "sgFC2DgLQ0zy",
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "sgFC2DgLQ0zy",
"outputId": "414f791a-5453-4e70-9d9c-ed36b3e10ff8"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Enter the quantity for each product:\n",
"Enter the quantity of t-shirt : 8\n",
"Enter the quantity of mug, : 5\n",
"Enter the quantity of hat: 6\n",
"Enter the quantity of book: 3\n",
"Enter the quantity of keychain: 10\n"
]
}
],
"source": [
"products = [\"t-shirt \", \"mug, \", \"hat\", \"book\", \"keychain\"]\n",
"inventory = {}\n",
"customers_orders = set()\n",
"print(\"Enter the quantity for each product:\")\n",
"for product in products:\n",
" quantity = int(input(f\"Enter the quantity of {product}: \"))\n",
" inventory[product] = quantity\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "3aQznE_8UDVo",
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "3aQznE_8UDVo",
"outputId": "d6d322c3-6265-42dd-fe7a-86b6923a2ad7"
},
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Enter a product you need to order:8\n",
"Invalid product. Please try again.\n",
"Do you want to add another product? (yes/no): no\n",
"{'8'}\n"
]
}
],
"source": [
"products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n",
"customer_orders = set()\n",
"\n",
"while True:\n",
" product = input(\"Enter a product you need to order:\")\n",
"\n",
" if product not in products:\n",
" print(\"Invalid product. Please try again.\")\n",
"\n",
" customer_orders.add(product)\n",
"\n",
" another = input(\"Do you want to add another product? (yes/no): \")\n",
" if another == \"no\":\n",
" break\n",
"\n",
"print(customer_orders)\n",
"\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"outputId": "de01ca15-f0da-47d3-93f4-0f9090d7becd",
"id": "ewdIGVdHM8Uj"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Enter the quantity for each product:\n",
"Enter the quantity of t-shirt : 3\n",
"Enter the quantity of mug, : 2\n",
"Enter the quantity of hat: 5\n",
"Enter the quantity of book: 20\n",
"Enter the quantity of keychain: 10\n"
]
}
],
"source": [
"products = [\"t-shirt \", \"mug, \", \"hat\", \"book\", \"keychain\"]\n",
"inventory = {}\n",
"customers_orders = set()\n",
"print(\"Enter the quantity for each product:\")\n",
"for product in products:\n",
" quantity = int(input(f\"Enter the quantity of {product}: \"))\n",
" inventory[product] = quantity\n",
"\n"
],
"id": "ewdIGVdHM8Uj"
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"outputId": "37ffa49c-ba50-4293-ad0f-45b7bf17e549",
"id": "SneSDKaFMz90"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Enter the quantity for each product:\n",
"Enter the quantity of t-shirt : 5\n",
"Enter the quantity of mug, : 5\n",
"Enter the quantity of hat: 1\n",
"Enter the quantity of book: 2\n",
"Enter the quantity of keychain: 3\n"
]
}
],
"source": [
"products = [\"t-shirt \", \"mug, \", \"hat\", \"book\", \"keychain\"]\n",
"inventory = {}\n",
"customers_orders = set()\n",
"print(\"Enter the quantity for each product:\")\n",
"for product in products:\n",
" quantity = int(input(f\"Enter the quantity of {product}: \"))\n",
" inventory[product] = quantity\n",
"\n"
],
"id": "SneSDKaFMz90"
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"outputId": "0cd2f36c-f488-485a-9980-109b88cfc39f",
"id": "IATU3hnTMwO-"
},
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Enter the quantity for each product:\n",
"Enter the quantity of t-shirt: 5\n",
"Enter the quantity of mug: 3\n",
"Enter the quantity of hat: 5\n",
"Enter the quantity of book: 2\n",
"Enter the quantity of keychain: 1\n",
"Inventory: {'t-shirt': 5, 'mug': 3, 'hat': 5, 'book': 2, 'keychain': 1}\n"
]
}
],
"source": [
"products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n",
"inventory = {}\n",
"customers_orders = set()\n",
"\n",
"print(\"Enter the quantity for each product:\")\n",
"\n",
"for product in products:\n",
" quantity = int(input(f\"Enter the quantity of {product}: \"))\n",
" inventory[product] = quantity\n",
"\n",
"print(\"Inventory:\",inventory )\n"
],
"id": "IATU3hnTMwO-"
},
{
"cell_type": "code",
"execution_count": null,
"id": "gr5K4EvLWbJC",
"metadata": {
"id": "gr5K4EvLWbJC",
"colab": {
"base_uri": "https://localhost:8080/"
},
"outputId": "8d996316-ef6b-48e0-c823-16cb4f7e2ddd"
},
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"\n",
"Customer ordered: {'8'}\n",
"order Status: (1, 20.0)\n"
]
}
],
"source": [
"print(\"\\nCustomer ordered:\", customer_orders)\n",
"\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",
"print(\"order Status:\", order_status)\n",
"\n",
"\n",
"\n",
"\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "pYtCol0rZQpc",
"metadata": {
"id": "pYtCol0rZQpc",
"colab": {
"base_uri": "https://localhost:8080/"
},
"outputId": "0fe4e975-f7a4-4428-f4c9-dc0726019e11"
},
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"order statistics:\n",
"Total products ordered: 1\n",
"Percentage of products ordered: 20.00%\n"
]
}
],
"source": [
"print(\"order statistics:\")\n",
"print(f\"Total products ordered: {order_status[0]}\")\n",
"print(f\"Percentage of products ordered: {order_status[1]:.2f}%\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "MgpYsqe2alLA",
"metadata": {
"id": "MgpYsqe2alLA",
"colab": {
"base_uri": "https://localhost:8080/"
},
"outputId": "73b13025-f13b-470a-a0b8-b16ce92285c8"
},
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Warning: Product '8' in customer orders but not in inventory. Skipping update.\n"
]
}
],
"source": [
"for Product in customer_orders:\n",
" if Product in inventory:\n",
" inventory[Product] -= 1\n",
" else:\n",
" print(f\"Warning: Product '{Product}' in customer orders but not in inventory. Skipping update.\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "S-6kIJUybuLr",
"metadata": {
"id": "S-6kIJUybuLr",
"colab": {
"base_uri": "https://localhost:8080/"
},
"outputId": "5135255b-ab92-40bb-8406-317e885ccafa"
},
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"updated inventory:\n",
"t-shirt: 5\n",
"mug: 3\n",
"hat: 5\n",
"book: 2\n",
"keychain: 1\n"
]
}
],
"source": [
"print(\"updated inventory:\")\n",
"\n",
"for product, quantity in inventory.items():\n",
" print(f'{product}: {quantity}')\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "_zQr7IE5cFi1",
"metadata": {
"id": "_zQr7IE5cFi1"
},
"outputs": [],
"source": []
}
],
"metadata": {
"colab": {
"provenance": []
},
"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",
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