Update lab-python-data-structures.ipynb

lab-python-data-structures.ipynb

@@ -9,6 +9,13 @@
     "# Lab | Data Structures "
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -50,11 +57,130 @@
     "\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": [
+    "# Paso 1: Definir la lista de productos\n",
+    "products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Paso 2: Crear un diccionario vacío para el inventario\n",
+    "inventory = {}"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Paso 3: Solicitar al usuario la cantidad de cada producto\n",
+    "print(\"Ingrese la cantidad disponible de cada producto:\")\n",
+    "for product in products:\n",
+    "    quantity = int(input(f\"Ingrese cantidad para {product}: \"))\n",
+    "    inventory[product] = quantity\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Paso 4: Crear un conjunto vacío para los pedidos del cliente\n",
+    "customer_orders = set()\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Paso 5: Solicitar al usuario tres productos para el pedido\n",
+    "print(\"\\nIngrese el nombre de tres productos que el cliente quiere pedir:\")\n",
+    "for _ in range(3):\n",
+    "    order = input(\"Ingrese nombre del producto: \").strip().lower()\n",
+    "    if order in products:\n",
+    "        customer_orders.add(order)\n",
+    "    else:\n",
+    "        print(f\"Advertencia: '{order}' no está en la lista de productos disponibles.\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Paso 6: Mostrar los productos en el pedido del cliente\n",
+    "print(\"\\nPedidos del cliente:\", customer_orders)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Paso 7: Calcular las estadísticas del pedido\n",
+    "total_products_ordered = len(customer_orders)\n",
+    "percentage_ordered = (total_products_ordered / len(products)) * 100\n",
+    "order_status = (total_products_ordered, percentage_ordered)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Paso 8: Imprimir las estadísticas del pedido\n",
+    "print(\"\\nEstadísticas del Pedido:\")\n",
+    "print(f\"Total Productos Pedidos: {order_status[0]}\")\n",
+    "print(f\"Porcentaje de Productos Pedidos: {order_status[1]:.2f}%\")\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Paso 9: Actualizar el inventario (restar 1 unidad de cada producto)\n",
+    "for product in inventory:\n",
+    "    inventory[product] -= 1\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Paso 10: Mostrar el inventario actualizado\n",
+    "print(\"\\nInventario Actualizado:\")\n",
+    "for product, quantity in inventory.items():\n",
+    "    print(f\"{product}: {quantity}\")\n",
+    "    "
+   ]
   }
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
+   "display_name": "base",
    "language": "python",
    "name": "python3"
   },
@@ -68,7 +194,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.13"
+   "version": "3.13.9"
   }
  },
  "nbformat": 4,