From 3120ee99d2d926eba951d9c89e766c0af11c52d1 Mon Sep 17 00:00:00 2001
From: lenovo <varsha.eminent@gmail.com>
Date: Sun, 8 Jun 2025 18:46:35 +0200
Subject: [PATCH] ds lab completed

---
 lab-python-data-structures.ipynb | 98 +++++++++++++++++++++++++++++++-
 1 file changed, 96 insertions(+), 2 deletions(-)

diff --git a/lab-python-data-structures.ipynb b/lab-python-data-structures.ipynb
index 5b3ce9e0..6697aa32 100644
--- a/lab-python-data-structures.ipynb
+++ b/lab-python-data-structures.ipynb
@@ -50,11 +50,105 @@
     "\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": 22,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'t-shirt': 10, 'mug': 20, 'hat': 30, 'book': 40, 'keychain': 50}\n"
+     ]
+    }
+   ],
+   "source": [
+    "products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n",
+    "inventory = {}\n",
+    "for quan_prod in products:\n",
+    "    quantity = int(input(f\"Enter the quantity of {products} available in the inventory:\"))\n",
+    "    inventory[quan_prod] = quantity\n",
+    "print(inventory)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'3', '2', '1'}\n"
+     ]
+    }
+   ],
+   "source": [
+    "customer_order = set()\n",
+    "for pro in range(3):\n",
+    "    product_name = input(\"Enter the name of three products that a customer wants to order: \")\n",
+    "    customer_order.add(product_name)\n",
+    "print(customer_order)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3\n",
+      "(3, 60.0)\n",
+      "Total Products Ordered: 3\n",
+      "Percentage of Products Ordered:60.0%\n"
+     ]
+    }
+   ],
+   "source": [
+    "total_products_ordered = len(customer_order)\n",
+    "print(total_products_ordered)\n",
+    "percentage_products_ordered = (total_products_ordered / len(products))*100\n",
+    "order_status = (total_products_ordered,percentage_products_ordered)\n",
+    "print(order_status)\n",
+    "print(\"Total Products Ordered:\", order_status[0])\n",
+    "print(f\"Percentage of Products Ordered:{order_status[1]}%\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 34,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "t-shirt 3\n",
+      "mug 13\n",
+      "hat 23\n",
+      "book 33\n",
+      "keychain 43\n",
+      "{'t-shirt': 2, 'mug': 12, 'hat': 22, 'book': 32, 'keychain': 42}\n"
+     ]
+    }
+   ],
+   "source": [
+    "for key, value in inventory.items():\n",
+    "    inventory[key] = (value - 1)\n",
+    "    print(key,value)\n",
+    "print(inventory)\n"
+   ]
   }
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
+   "display_name": "Python 3",
    "language": "python",
    "name": "python3"
   },
@@ -68,7 +162,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.13"
+   "version": "3.11.9"
   }
  },
  "nbformat": 4,