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195 changes: 163 additions & 32 deletions lab-python-flow-control.ipynb
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Original file line number Diff line number Diff line change
@@ -1,49 +1,180 @@
{
"cells": [
{
"cell_type": "markdown",
"id": "d3bfc191-8885-42ee-b0a0-bbab867c6f9f",
"metadata": {
"tags": []
},
"cell_type": "code",
"execution_count": 2,
"id": "2ad532e5-9072-4aa4-baca-7f37cb81f156",
"metadata": {},
"outputs": [
{
"name": "stdin",
"output_type": "stream",
"text": [
"Enter quantity for t-shirt: 40\n",
"Enter quantity for mug: 20\n",
"Enter quantity for hat: 10\n",
"Enter quantity for book: 18\n",
"Enter quantity for keychain: 88\n"
]
}
],
"source": [
"products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n",
"inventory = {}\n",
"for product in products:\n",
" quantity = int(input(f\"Enter quantity for {product}: \"))\n",
" inventory[product] = quantity"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "fbd9515d-d9d4-4cdc-88e8-2087de44ac72",
"metadata": {},
"outputs": [
{
"name": "stdin",
"output_type": "stream",
"text": [
"Enter the name of a product to order: mug\n",
"Do you want to add another_product? (yes/no: yes\n",
"Enter the name of a product to order: hut\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"invalid product. Choose from: ['t-shirt', 'mug', 'hat', 'book', 'keychain']\n"
]
},
{
"name": "stdin",
"output_type": "stream",
"text": [
"Enter the name of a product to order: book\n",
"Do you want to add another_product? (yes/no: yes\n",
"Enter the name of a product to order: keychain\n",
"Do you want to add another_product? (yes/no: no\n"
]
}
],
"source": [
"# Lab | Flow Control"
"customer_orders = set()\n",
"while True:\n",
" order = input(\"Enter the name of a product to order: \").lower()\n",
" if order in products:\n",
" customer_orders.add(order)\n",
" else:\n",
" print(\"invalid product. Choose from:\", products)\n",
" continue\n",
" another_product = input(\"Do you want to add another_product? (yes/no: \").lower()\n",
" if another_product == \"no\":\n",
" break"
]
},
{
"cell_type": "markdown",
"id": "3851fcd1-cf98-4653-9c89-e003b7ec9400",
"cell_type": "code",
"execution_count": 16,
"id": "b3e0cc4c-33b7-4ec0-ad2a-034c1e05fb4f",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"Customer Orders:\n",
"{'book', 'keychain', 'mug'}\n",
"{'book', 'keychain', 'mug'}\n",
"{'book', 'keychain', 'mug'}\n"
]
}
],
"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\")."
"print(\"\\nCustomer Orders:\")\n",
"for product in customer_orders:\n",
" print(customer_orders)"
]
},
{
"cell_type": "code",
"execution_count": 17,
"id": "eeee4b34-0921-43b8-a25e-090b1b2cb5c9",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"Order Statistics:\n",
"Total Products Ordered: 3\n",
"Percentage of Products Ordered: 60.0%\n"
]
}
],
"source": [
"total_products_ordered = len(customer_orders)\n",
"percentage_product_ordered = (total_products_ordered / len(products)) * 100\n",
"order_status = (total_products_ordered, percentage_product_ordered)\n",
"print(\"\\nOrder Statistics:\")\n",
"print(f\"Total Products Ordered: {order_status[0]}\")\n",
"print(f\"Percentage of Products Ordered: {order_status[1]}%\")"
]
},
{
"cell_type": "code",
"execution_count": 18,
"id": "f7d03499-3ed9-46e9-af66-285295e80f0d",
"metadata": {},
"outputs": [],
"source": [
"for product in customer_orders:\n",
" if product in inventory:\n",
" inventory[product] -= 1"
]
},
{
"cell_type": "code",
"execution_count": 22,
"id": "8af31852-a3fa-4765-84aa-14466dabfac1",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"Updated Inventory:\n",
"t-shirt: 40\n",
"mug: 17\n",
"hat: 10\n",
"book: 15\n",
"keychain: 85\n"
]
}
],
"source": [
"print(\"\\nUpdated Inventory:\")\n",
"for product, quantity in inventory.items():\n",
" print(f\"{product}: {quantity}\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "88ce8150-c4c7-4cbf-b60d-0077cd63689e",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"display_name": "Python [conda env:base] *",
"language": "python",
"name": "python3"
"name": "conda-base-py"
},
"language_info": {
"codemirror_mode": {
Expand All @@ -55,7 +186,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.13"
"version": "3.13.9"
}
},
"nbformat": 4,
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