data-structure

lab-python-data-structures.ipynb

@@ -50,11 +50,137 @@
     "\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": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'t-shirt': 1, 'mug': 1, 'hat': 2, 'book': 1, 'keychain': 1}\n"
+     ]
+    }
+   ],
+   "source": [
+    "#Paso 1\n",
+    "products = [\"t-shirt\", \"mug\", \"hat\", \"hat+\", \"book\", \"keychain\"]\n",
+    "\n",
+    "#Paso 2\n",
+    "inventory={}\n",
+    "\n",
+    "#Paso 3\n",
+    "for product in products: \n",
+    "    if product in inventory:\n",
+    "        inventory [product] += 1\n",
+    "    else:       inventory [product] = 1\n",
+    "print(inventory)\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#Paso 4\n",
+    "customer_order = {}\n",
+    "customer_order.update({\"t-shirt\": 1, \"mug\": 1, \"hat\": 2})\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'mug': 2}\n"
+     ]
+    }
+   ],
+   "source": [
+    "#Paso 5\n",
+    "customer_order = {}\n",
+    "product = input(\"What do you want to buy?\") \n",
+    "quantity = int(input(\"How many do you want to buy?\"))\n",
+    "customer_order.update({product: quantity})\n",
+    "#Paso 6\n",
+    "print(customer_order)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'mug': 10}\n"
+     ]
+    }
+   ],
+   "source": [
+    "#Paso 7\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 33,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'mug': 2}\n",
+      "Total cost: 200.0\n"
+     ]
+    },
+    {
+     "ename": "TypeError",
+     "evalue": "unsupported operand type(s) for /: 'str' and 'str'",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[31m---------------------------------------------------------------------------\u001b[39m",
+      "\u001b[31mTypeError\u001b[39m                                 Traceback (most recent call last)",
+      "\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[33]\u001b[39m\u001b[32m, line 6\u001b[39m\n\u001b[32m      2\u001b[39m print(total_order)\n\u001b[32m      3\u001b[39m \n\u001b[32m      4\u001b[39m total_cost = float(input(\u001b[33m\"How much does it cost?\"\u001b[39m)) * quantity\n\u001b[32m      5\u001b[39m print(f\"Total cost: {total_cost}\")\n\u001b[32m----> \u001b[39m\u001b[32m6\u001b[39m porcentaje= (input(\u001b[33m\"10% para 10\"\u001b[39m))/\u001b[33m\"100\"\u001b[39m\n\u001b[32m      7\u001b[39m print(f\"Total cost with 10%: {total_cost + (total_cost * porcentaje)}\")\n",
+      "\u001b[31mTypeError\u001b[39m: unsupported operand type(s) for /: 'str' and 'str'"
+     ]
+    }
+   ],
+   "source": [
+    "total_order= {product: quantity}\n",
+    "print(total_order)\n",
+    "\n",
+    "total_cost = float(input(\"How much does it cost?\")) * quantity \n",
+    "print(f\"Total cost: {total_cost}\")\n",
+    "porcentaje= (input(\"10% para 10\"))/\"100\"\n",
+    "print(f\"Total cost with 10%: {total_cost + (total_cost * porcentaje)}\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 32,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "inventory = {\"t-shirt\": 1, \"mug\": 1, \"hat\": 2, \"hat+\": 1, \"book\": 1, \"keychain\": 1}\n",
+    "update_inventory = {\"t-shirt\": 1, \"mug\": 1, \"hat\": 2}"
+   ]
   }
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
+   "display_name": "Python 3",
    "language": "python",
    "name": "python3"
   },
@@ -68,7 +194,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.13"
+   "version": "3.14.4"
   }
  },
  "nbformat": 4,