lab complete

.ipynb_checkpoints/lab-python-flow-control-checkpoint.ipynb

@@ -0,0 +1,76 @@
+{
+ "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": null,
+   "id": "0ece9b4f-055e-48ec-95b5-9ba1248c1dac",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# 1.\n",
+    "products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n",
+    "inventory = {}\n",
+    "\n"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python [conda env:base] *",
+   "language": "python",
+   "name": "conda-base-py"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

lab-python-flow-control.ipynb

@@ -37,13 +37,101 @@
     "\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": "060e6771-9dbb-403f-b0ed-d0cbbfe2cf6e",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdin",
+     "output_type": "stream",
+     "text": [
+      "Enter quantity for t-shirt:  1\n",
+      "Enter quantity for mug:  2\n",
+      "Enter quantity for hat:  assd\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Please enter a valid integer.\n"
+     ]
+    },
+    {
+     "name": "stdin",
+     "output_type": "stream",
+     "text": [
+      "Enter quantity for book:  3\n",
+      "Enter quantity for keychain:  6\n"
+     ]
+    }
+   ],
+   "source": [
+    "# 1. \n",
+    "products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n",
+    "inventory = {product: 10 for product in products}\n",
+    "\n",
+    "for product in products:\n",
+    "    try:\n",
+    "        quantity = int(input(f\"Enter quantity for {product}: \"))\n",
+    "        inventory[product] = max(inventory[product] - quantity, 0)\n",
+    "    except ValueError:\n",
+    "        print(\"Please enter a valid integer.\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "a1ecc27a-ce05-4237-8e2c-aa3c2e8e12f1",
+   "metadata": {},
+   "outputs": [
+    {
+     "ename": "IndentationError",
+     "evalue": "unindent does not match any outer indentation level (<string>, line 12)",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;36m  File \u001b[0;32m<string>:12\u001b[0;36m\u001b[0m\n\u001b[0;31m    else:\u001b[0m\n\u001b[0m         ^\u001b[0m\n\u001b[0;31mIndentationError\u001b[0m\u001b[0;31m:\u001b[0m unindent does not match any outer indentation level\n"
+     ]
+    }
+   ],
+   "source": [
+    "# 2.\n",
+    "# a\n",
+    "product_name=input(\"Enter the product name you want to order: \")\n",
+    "\n",
+    "# b\n",
+    "customer_orders = set()\n",
+    "\n",
+    "# c\n",
+    " if product_name in [product.lower() for product in products]:\n",
+    "        customer_orders.add(product_name)\n",
+    "        print(f\"{product_name} has been added to your order.\")\n",
+    "    else:\n",
+    "        print(\"The product is not available. Please enter a valid product name.\")\n",
+    "\n",
+    "# 3\n",
+    "for product in customer_orders:\n",
+    "    if inventory[product] > 0:\n",
+    "        inventory[product] -= 1"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "9633b8c7-16c6-47d0-bad2-3379f7c02df4",
+   "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": {
@@ -55,7 +143,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.13"
+   "version": "3.12.7"
   }
  },
  "nbformat": 4,