From 620da1dbb2792c01c838b68f7ee9bb24e77f7ec3 Mon Sep 17 00:00:00 2001
From: Patricia Viladomiu <ciladomiupati@gmail.com>
Date: Thu, 20 Nov 2025 12:33:51 +0100
Subject: [PATCH] Lab solved

---
 lab-python-data-structures.ipynb | 202 ++++++++++++++++++++++++++++++-
 1 file changed, 199 insertions(+), 3 deletions(-)

diff --git a/lab-python-data-structures.ipynb b/lab-python-data-structures.ipynb
index 5b3ce9e0..1ebb46a8 100644
--- a/lab-python-data-structures.ipynb
+++ b/lab-python-data-structures.ipynb
@@ -50,13 +50,209 @@
     "\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": 4,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "inventory = {}"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdin",
+     "output_type": "stream",
+     "text": [
+      "Please, enter the quantity of t-shirt in stock:  34\n",
+      "Please, enter the quantity of mug in stock:  2\n",
+      "Please, enter the quantity of hat in stock:  12\n",
+      "Please, enter the quantity of book in stock:  5\n",
+      "Please, enter the quantity of keychain in stock:  32\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'t-shirt': 34, 'mug': 2, 'hat': 12, 'book': 5, 'keychain': 32}\n"
+     ]
+    }
+   ],
+   "source": [
+    "for product in products:\n",
+    "    quantity = int(input(f\"Please, enter the quantity of {product} in stock: \"))\n",
+    "    inventory[product] = quantity\n",
+    "\n",
+    "print(inventory)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "customer_orders = set()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdin",
+     "output_type": "stream",
+     "text": [
+      "Please, enter three products to order:  book\n",
+      "Please, enter three products to order:  book\n",
+      "You already ordered that product, enter a different one:  hat\n",
+      "Please, enter three products to order:  t-shirt\n"
+     ]
+    }
+   ],
+   "source": [
+    "for i in range(3):\n",
+    "    product = input(\"Please, enter three products to order: \")\n",
+    "    \n",
+    "    while product not in products or product in customer_orders:\n",
+    "        if product not in products:\n",
+    "            product = input(\"Invalid product, try again: \")\n",
+    "        else:\n",
+    "            product = input(\"You already ordered that product, enter a different one: \")\n",
+    "\n",
+    "    customer_orders.add(product)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Your order includes: {'t-shirt', 'book', 'hat'}\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(f\"Your order includes: {customer_orders}\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(85, 3.5294117647058822)"
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "total_ordered = len(customer_orders)\n",
+    "total_products = sum(inventory.values())\n",
+    " \n",
+    "percentage_products_ordered= (total_ordered/total_products)*100\n",
+    "\n",
+    "order_status= (total_products, percentage_products_ordered)\n",
+    "order_status"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Order Statistics:\n",
+      "Total Products Ordered: 3\n",
+      "Percentage of Products Ordered: 3.5294117647058822%\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(f\"Order Statistics:\\nTotal Products Ordered: {total_ordered}\\nPercentage of Products Ordered: {percentage_products_ordered}%\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Order processed\n",
+      "Order processed\n",
+      "Order processed\n"
+     ]
+    }
+   ],
+   "source": [
+    "for product in customer_orders: \n",
+    "    if inventory[product] > 0:\n",
+    "       inventory[product] -= 1\n",
+    "       print(\"Order processed\")\n",
+    "    else: \n",
+    "       print(\"Out of stock\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "t-shirt: 33\n",
+      "mug: 2\n",
+      "hat: 11\n",
+      "book: 4\n",
+      "keychain: 32\n"
+     ]
+    }
+   ],
+   "source": [
+    "for product, quantity in inventory.items():\n",
+    "    print(f\"{product}: {quantity}\")"
+   ]
   }
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
+   "display_name": "Python [conda env:base] *",
    "language": "python",
-   "name": "python3"
+   "name": "conda-base-py"
   },
   "language_info": {
    "codemirror_mode": {
@@ -68,7 +264,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.13"
+   "version": "3.13.5"
   }
  },
  "nbformat": 4,