From c76f899c77bf65d9c9fdf87a8103a61ad04fd1e3 Mon Sep 17 00:00:00 2001
From: Amanda Joseph <amandajoseph@gmail.com>
Date: Sat, 19 Sep 2026 15:20:50 +0200
Subject: [PATCH] Lab 1, attempt 2

---
 lab-python-data-structures.ipynb | 183 ++++++++++++++++++++++++++++++-
 1 file changed, 180 insertions(+), 3 deletions(-)

diff --git a/lab-python-data-structures.ipynb b/lab-python-data-structures.ipynb
index 5b3ce9e0..4ab4c5d6 100644
--- a/lab-python-data-structures.ipynb
+++ b/lab-python-data-structures.ipynb
@@ -50,13 +50,190 @@
     "\n",
     "Solve the exercise by implementing the steps using the Python concepts of lists, dictionaries, sets, and basic input/output operations. "
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdin",
+     "output_type": "stream",
+     "text": [
+      "How many t-shirts do you have?  1\n",
+      "How many mugs do you have?  2\n",
+      "How many hats do you have?  3\n",
+      "How many books do you have?  4\n",
+      "How many keychains do you have?  5\n"
+     ]
+    }
+   ],
+   "source": [
+    "# 1. Define a list call products\n",
+    "products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n",
+    "# 2. Create an empty dictionary called inventory\n",
+    "inventory = {}\n",
+    "\n",
+    "# 3. For each product available in inventory, ask user to input quantity of product\n",
+    "for product in products:\n",
+    "    quantity = int(input(f\"How many {product}s do you have? \"))\n",
+    "    # Add each product as a key and each corresponding quantity as a value to the inventory dictionary\n",
+    "    inventory[product] = quantity"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'t-shirt': 1, 'mug': 2, 'hat': 3, 'book': 4, 'keychain': 5}\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(inventory)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Available products: ['t-shirt', 'mug', 'hat', 'book', 'keychain']\n"
+     ]
+    },
+    {
+     "name": "stdin",
+     "output_type": "stream",
+     "text": [
+      "Enter a product to order:  pen\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "That product is not available. Please choose from the list.\n"
+     ]
+    },
+    {
+     "name": "stdin",
+     "output_type": "stream",
+     "text": [
+      "Enter a product to order:  book\n",
+      "Enter a product to order:  mug\n",
+      "Enter a product to order:  t-shirt\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      "Products in your order: {'book', 't-shirt', 'mug'}\n"
+     ]
+    }
+   ],
+   "source": [
+    "# 4. Create an empty set called customer_orders\n",
+    "customer_orders = set()\n",
+    "\n",
+    "# 5. Ask user for three products to add to customer_orders\n",
+    "print(f\"Available products: {products}\")\n",
+    "while len(customer_orders) < 3:\n",
+    "    product_ordered = input(\"Enter a product to order: \").lower().strip()\n",
+    "    if product_ordered in products:\n",
+    "        customer_orders.add(product_ordered)\n",
+    "    else:\n",
+    "        print(\"That product is not available. Please choose from the list.\")\n",
+    "\n",
+    "# 6. Print the products in the customer_orders set\n",
+    "print(\"\\nProducts in your order:\", customer_orders)\n",
+    "\n",
+    "# 7. Calculate total products ordered\n",
+    "total_products_ordered = len(customer_orders)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Order Statistics:\n",
+      "Total Products Ordered: 3\n",
+      "Percentage of Products Ordered: 60.0%\n"
+     ]
+    }
+   ],
+   "source": [
+    "# 8. Calculate order statistics\n",
+    "percentage_ordered = (total_products_ordered / len(products)) * 100\n",
+    "\n",
+    "# Store statistics in a tuple\n",
+    "order_status = (total_products_ordered, percentage_ordered)\n",
+    "\n",
+    "# Print order statistics using the specified format\n",
+    "print(\"Order Statistics:\")\n",
+    "print(f\"Total Products Ordered: {order_status[0]}\")\n",
+    "print(f\"Percentage of Products Ordered: {order_status[1]:.1f}%\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      "Updated Inventory:\n",
+      "t-shirt: 0\n",
+      "mug: 1\n",
+      "hat: 3\n",
+      "book: 3\n",
+      "keychain: 5\n"
+     ]
+    }
+   ],
+   "source": [
+    "# 9. Update the inventory by subtracting 1 for each ordered product\n",
+    "for product in customer_orders:\n",
+    "    if product in inventory:\n",
+    "        inventory[product] -= 1\n",
+    "\n",
+    "# 10. Print the updated inventory on separate lines\n",
+    "print(\"\\nUpdated Inventory:\")\n",
+    "for product, quantity in inventory.items():\n",
+    "    print(f\"{product}: {quantity}\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "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": {
@@ -68,7 +245,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.13"
+   "version": "3.13.9"
   }
  },
  "nbformat": 4,