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Complete lab2 #692

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158 changes: 158 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": 5,
"id": "f2e740d1-5575-4d8e-99c1-e450c17c8cb6",
"metadata": {},
"outputs": [
{
"name": "stdin",
"output_type": "stream",
"text": [
"What´s the quantity of t-shirt? 6\n",
"What´s the quantity of mug? 9\n",
"What´s the quantity of hat? 7\n",
"What´s the quantity of book? 2\n",
"What´s the quantity of keychain? 1\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"What do you want to order?\n"
]
},
{
"name": "stdin",
"output_type": "stream",
"text": [
"Enter a product name: book\n",
"Do you want to order anything else? Type Yes or No. yes\n",
"Enter a product name: mug\n",
"Do you want to order anything else? Type Yes or No. no\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Thank you for your order.\n"
]
}
],
"source": [
"products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n",
"inventory = {}\n",
"customer_orders = set()\n",
"for product in products:\n",
" outcome=input(f\"What´s the quantity of {product}?\")\n",
" inventory[product]=int(outcome)\n",
"\n",
"print(\"What do you want to order?\")\n",
"user_choice2 = \"yes\"\n",
"while user_choice2 == \"yes\":\n",
" user_choice = input(\"Enter a product name: \")\n",
" if user_choice in products:\n",
" customer_orders.add(user_choice)\n",
" else:\n",
" print(\"Please enter valid product from the list.\")\n",
" user_choice2 = input(\"Do you want to order anything else? Type Yes or No.\").strip().lower()\n",
"else: \n",
" print(\"Thank you for your order.\") \n",
" \n",
"for product in customer_orders:\n",
" inventory[product] -= 1"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "58387a11-fb71-4ff7-80cc-ff3cf5878caf",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"{'t-shirt': 6, 'mug': 8, 'hat': 7, 'book': 1, 'keychain': 1}"
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"inventory"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "069141b5-c738-4242-81f3-0b6cef0b562d",
"metadata": {},
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}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
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},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.13.9"
}
},
"nbformat": 4,
"nbformat_minor": 5
}
61 changes: 60 additions & 1 deletion lab-python-flow-control.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -37,6 +37,65 @@
"\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": "f2e740d1-5575-4d8e-99c1-e450c17c8cb6",
"metadata": {},
"outputs": [],
"source": [
"products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n",
"inventory = {}\n",
"customer_orders = set()\n",
"for product in products:\n",
" outcome=input(f\"What´s the quantity of {product}?\")\n",
" inventory[product]=int(outcome)\n",
"\n",
"print(\"What do you want to order?\")\n",
"user_choice2 = \"yes\"\n",
"while user_choice2 == \"yes\":\n",
" user_choice = input(\"Enter a product name: \")\n",
" if user_choice in products:\n",
" customer_orders.add(user_choice)\n",
" else:\n",
" print(\"Please enter valid product from the list.\")\n",
" user_choice2 = input(\"Do you want to order anything else? Type Yes or No.\").strip().lower()\n",
"else: \n",
" print(\"Thank you for your order.\") \n",
" \n",
"for product in customer_orders:\n",
" inventory[product] -= 1"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "58387a11-fb71-4ff7-80cc-ff3cf5878caf",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"{'t-shirt': 6, 'mug': 8, 'hat': 7, 'book': 1, 'keychain': 1}"
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"inventory"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "069141b5-c738-4242-81f3-0b6cef0b562d",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
Expand All @@ -55,7 +114,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.13"
"version": "3.13.9"
}
},
"nbformat": 4,
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