From 9ab56be04739e3820a7c08e38d2ad83f28fe9999 Mon Sep 17 00:00:00 2001
From: nadiyashahaibi-DA <nadiya.shahaibi@gmail.com>
Date: Tue, 21 Jul 2026 19:34:49 +0100
Subject: [PATCH] Completed lab exercises

---
 lab-python-data-structures.ipynb | 192 ++++++++++++++++++++++++++++++-
 1 file changed, 191 insertions(+), 1 deletion(-)

diff --git a/lab-python-data-structures.ipynb b/lab-python-data-structures.ipynb
index 5b3ce9e0..a2fe564c 100644
--- a/lab-python-data-structures.ipynb
+++ b/lab-python-data-structures.ipynb
@@ -50,6 +50,196 @@
     "\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": "stdout",
+     "output_type": "stream",
+     "text": [
+      "['t-shirt', 'mug', 'hat', 'book', 'keychain']\n"
+     ]
+    }
+   ],
+   "source": [
+    "products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n",
+    "print(products) "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "inventory = {}"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdin",
+     "output_type": "stream",
+     "text": [
+      "Enter quantity for t-shirt:  2\n",
+      "Enter quantity for mug:  1\n",
+      "Enter quantity for hat:  1\n",
+      "Enter quantity for book:  2\n",
+      "Enter quantity for keychain:  3\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'t-shirt': 2, 'mug': 1, 'hat': 1, 'book': 2, 'keychain': 3}\n"
+     ]
+    }
+   ],
+   "source": [
+    "inventory[\"t-shirt\"] = int(input(\"Enter quantity for t-shirt: \"))\n",
+    "inventory[\"mug\"] = int(input(\"Enter quantity for mug: \"))\n",
+    "inventory[\"hat\"] = int(input(\"Enter quantity for hat: \"))\n",
+    "inventory[\"book\"] = int(input(\"Enter quantity for book: \"))\n",
+    "inventory[\"keychain\"] = int(input(\"Enter quantity for keychain: \"))\n",
+    "\n",
+    "print(inventory)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "customer_orders = set()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdin",
+     "output_type": "stream",
+     "text": [
+      "Enter product 1:  hat\n",
+      "Enter product 2:  mug\n",
+      "Enter product 3:  keychain\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Customer orders: {'mug', 'hat', 'keychain'}\n"
+     ]
+    }
+   ],
+   "source": [
+    "customer_orders = set()\n",
+    "\n",
+    "order1 = input(\"Enter product 1: \")\n",
+    "customer_orders.add(order1)\n",
+    "\n",
+    "\n",
+    "order2 = input(\"Enter product 2: \")\n",
+    "customer_orders.add(order2)\n",
+    "\n",
+    "\n",
+    "order3 = input(\"Enter product 3: \")\n",
+    "customer_orders.add(order3)\n",
+    "\n",
+    "print(\"Customer orders:\", customer_orders)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Order Statistics: \n",
+      "Total Products Ordered:  3\n",
+      "Percentage of Products Ordered:  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",
+    "\n",
+    "print(\"Order Statistics: \")\n",
+    "print(\"Total Products Ordered: \", order_status[0])\n",
+    "print(\"Percentage of Products Ordered: \", order_status[1], \"%\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "inventory[order1] = inventory[order1] - 1\n",
+    "inventory[order2] = inventory[order2] - 1\n",
+    "inventory[order3] = inventory[order3] - 1"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Updated Inventory: \n",
+      "t-shirt: 2\n",
+      "mug: 0\n",
+      "hat: 0\n",
+      "book: 2\n",
+      "keychain: 2\n",
+      "keychain: 2\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(\"Updated Inventory: \")\n",
+    "print(\"t-shirt:\",inventory[\"t-shirt\"])\n",
+    "print(\"mug:\", inventory[\"mug\"])\n",
+    "print(\"hat:\", inventory[\"hat\"])\n",
+    "print(\"book:\", inventory[\"book\"])\n",
+    "print(\"keychain:\", inventory[\"keychain\"]) \n",
+    "print(\"keychain:\", inventory[\"keychain\"])\n",
+    "    "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {
@@ -68,7 +258,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.13"
+   "version": "3.14.6"
   }
  },
  "nbformat": 4,