lab 1

lab-python-data-structures.ipynb

@@ -50,11 +50,134 @@
     "\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": 14,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "inventory = {}"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "inventory [\"t-shirt\"] = int(input(\"Enter the quantity of t-shirts: \"))\n",
+    "inventory [\"mug\"] = int(input(\"Enter the quantity of mugs: \"))\n",
+    "inventory [\"hat\"] = int(input(\"Enter the quantity of hats: \"))\n",
+    "inventory [\"book\"] = int(input(\"Enter the quantity of books: \"))\n",
+    "inventory [\"keychain\"] = int(input(\"Enter the quantity of keychains: \"))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "customer_orders = set()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Customer order: {'book', 'hat', 'mug'}\n"
+     ]
+    }
+   ],
+   "source": [
+    "customer_orders.add(input(\"Enter the first product you want to order: \"))\n",
+    "customer_orders.add(input(\"Enter the second product you want to order: \"))\n",
+    "customer_orders.add(input(\"Enter the third product you want to order: \"))\n",
+    "print(\"Customer order:\", customer_orders)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [],
+   "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"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Order Statistics: \n",
+      "Total Products Ordered:  3\n",
+      "Percentage of Products Ordered:  60.0\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(\"Order Statistics: \")\n",
+    "print(\"Total Products Ordered: \", total_products_ordered)\n",
+    "print(\"Percentage of Products Ordered: \", percentage_ordered)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Updated Inventory: {'t-shirt': 19, 'mug': 10, 'hat': 0, 'book': 7, 'keychain': 2}\n"
+     ]
+    }
+   ],
+   "source": [
+    "inventory [\"t-shirt\"] = inventory [\"t-shirt\"] - 1  \n",
+    "inventory [\"mug\"] = inventory [\"mug\"] - 1  \n",
+    "inventory [\"hat\"] = inventory [\"hat\"] - 1  \n",
+    "inventory [\"book\"] = inventory [\"book\"] - 1  \n",
+    "inventory [\"keychain\"] = inventory [\"keychain\"] - 1\n",
+    "\n",
+    "print(\"Updated Inventory:\", inventory)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
+   "display_name": "Python 3",
    "language": "python",
    "name": "python3"
   },
@@ -68,7 +191,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.13"
+   "version": "3.14.2"
   }
  },
  "nbformat": 4,