From f5fbb2607159e11c1ca91a6e9371d1be199ddb6b Mon Sep 17 00:00:00 2001
From: Ricardo Santos <rcrdsnts@hotmail.com>
Date: Thu, 15 Jan 2026 18:09:51 +0000
Subject: [PATCH] lab done: data structures

---
 lab-python-data-structures.ipynb | 82 +++++++++++++++++++++++++++++++-
 1 file changed, 80 insertions(+), 2 deletions(-)

diff --git a/lab-python-data-structures.ipynb b/lab-python-data-structures.ipynb
index 5b3ce9e0..4a684f59 100644
--- a/lab-python-data-structures.ipynb
+++ b/lab-python-data-structures.ipynb
@@ -50,11 +50,89 @@
     "\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": null,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'hat', 'mug', 'book'}\n",
+      "{'t-shirt': 10, 'mug': 19, 'hat': 29, 'book': 39, 'keychain': 50}\n",
+      "Order Statistics:\n",
+      "Total Products Ordered:3\n",
+      "Percentage of Products Ordered:60.00%\n",
+      "Quantity of t-shirt is 10\n",
+      "Quantity of mug is 19\n",
+      "Quantity of hat is 29\n",
+      "Quantity of book is 39\n",
+      "Quantity of keychain is 50\n"
+     ]
+    }
+   ],
+   "source": [
+    "#step 1\n",
+    "products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n",
+    "#step 2\n",
+    "inventory = {}\n",
+    "#step 3\n",
+    "for product in products:\n",
+    "    while True:\n",
+    "        n = input(f\"Please provide the amount of {product}\")\n",
+    "        if n.isdigit() == True:\n",
+    "            inventory[product]= int(n)\n",
+    "            break\n",
+    "        else:\n",
+    "            print(\"Please provide an acceptable number of pieces\")\n",
+    "\n",
+    "#step 4\n",
+    "customer_orders = set()\n",
+    "#print(customer_orders)\n",
+    "\n",
+    "#step 5\n",
+    "i = 0\n",
+    "while i < 3:\n",
+    "    prod = input(\"Please provide a product to order:\")\n",
+    "    if prod not in products:\n",
+    "        prod = input(\"That product is not available!\")\n",
+    "    elif prod in customer_orders:\n",
+    "        print(\"Warning: This product is already in your order!Please repeat your order.\")\n",
+    "    else:\n",
+    "        customer_orders.add(prod)\n",
+    "        i += 1\n",
+    "#step 9\n",
+    "        inventory[prod] -= 1\n",
+    "\n",
+    "#step 6\n",
+    "print(customer_orders)\n",
+    "#print(inventory)\n",
+    "\n",
+    "#step 7\n",
+    "total_prod = len(customer_orders)\n",
+    "perc_prod = (len(customer_orders) / len(products)) * 100\n",
+    "\n",
+    "#print(total_prod)\n",
+    "#print(perc_prod)\n",
+    "\n",
+    "order_status = (total_prod, perc_prod)\n",
+    "#type(order_status)\n",
+    "\n",
+    "#step 8\n",
+    "print(\"Order Statistics:\")\n",
+    "print(f\"Total Products Ordered:{total_prod}\")\n",
+    "print(f\"Percentage of Products Ordered:{perc_prod:.2f}%\")\n",
+    "#step 10\n",
+    "for product in inventory:\n",
+    "    print(f\"Quantity of {product} is {inventory[product]}\")"
+   ]
   }
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
+   "display_name": "base",
    "language": "python",
    "name": "python3"
   },
@@ -68,7 +146,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.13"
+   "version": "3.13.9"
   }
  },
  "nbformat": 4,