From 0f718464706a61ebfac6b1fe9e0247e6cfa9bbb6 Mon Sep 17 00:00:00 2001
From: moniblanes <moni.blanes@gmail.com>
Date: Fri, 19 Dec 2025 10:58:08 +0100
Subject: [PATCH] solved

---
 lab-python-data-structures.ipynb | 106 +++++++++++++++++++++++++++++--
 1 file changed, 102 insertions(+), 4 deletions(-)

diff --git a/lab-python-data-structures.ipynb b/lab-python-data-structures.ipynb
index 5b3ce9e0..f42decbd 100644
--- a/lab-python-data-structures.ipynb
+++ b/lab-python-data-structures.ipynb
@@ -34,8 +34,7 @@
     "7. Calculate the following order statistics:\n",
     "   - Total Products Ordered: The total number of products in the `customer_orders` set.\n",
     "   - Percentage of Products Ordered: The percentage of products ordered compared to the total available products.\n",
-    "   \n",
-    "   Store these statistics in a tuple called `order_status`.\n",
+    "      Store these statistics in a tuple called `order_status`.\n",
     "\n",
     "8. Print the order statistics using the following format:\n",
     "   ```\n",
@@ -50,11 +49,110 @@
     "\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": [],
+   "source": [
+    "products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"] #list of products"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Inventory: {'t-shirt': 2, 'mug': 3, 'hat': 4, 'book': 5, 'keychain': 6}\n"
+     ]
+    }
+   ],
+   "source": [
+    "inventory = {} #empty dictionary to store inventory\n",
+    "\n",
+    "inventory[\"t-shirt\"] = int(input(\"Enter quantity of t-shirt: \"))\n",
+    "inventory[\"mug\"] = int(input(\"Enter quantity of mug: \"))\n",
+    "inventory[\"hat\"] = int(input(\"Enter quantity of hat: \"))\n",
+    "inventory[\"book\"] = int(input(\"Enter quantity of book: \"))\n",
+    "inventory[\"keychain\"] = int(input(\"Enter quantity of keychain: \"))\n",
+    "    \n",
+    "print(\"Inventory:\", inventory)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Inventory: {'t-shirt': 1, 'mug': 2, 'hat': 3, 'book': 4, 'keychain': 5}\n",
+      "Customer orders: {'mug'}\n"
+     ]
+    }
+   ],
+   "source": [
+    "customer_orders = set() #empty set to store customer orders\n",
+    "\n",
+    "customer_orders.add(input(\"Enter first product to order: \"))\n",
+    "customer_orders.add(input(\"Enter second product to order: \"))\n",
+    "customer_orders.add(input(\"Enter third product to order: \"))\n",
+    "\n",
+    "print(\"Inventory:\", inventory)\n",
+    "print(\"Customer orders:\", customer_orders)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Order status (total products ordered, percentage ordered): (3, 60.0)\n"
+     ]
+    }
+   ],
+   "source": [
+    "total_products_ordered = len(customer_orders)\n",
+    "percentage_ordered = (total_products_ordered / len(products)) * 100\n",
+    "\n",
+    "order_status = (total_products_ordered, percentage_ordered)\n",
+    "print(\"Order status (total products ordered, percentage ordered):\", order_status)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Updated Inventory after fulfilling one order of each product: {'t-shirt': 1, 'mug': 2, 'hat': 3, 'book': 4, 'keychain': 5}\n"
+     ]
+    }
+   ],
+   "source": [
+    "for product in inventory:\n",
+    "    inventory[product] -= 1\n",
+    "print(\"Updated Inventory after fulfilling one order of each product:\", inventory)"
+   ]
   }
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
+   "display_name": "Python 3",
    "language": "python",
    "name": "python3"
   },
@@ -68,7 +166,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.13"
+   "version": "3.12.9"
   }
  },
  "nbformat": 4,