From 74ca3f43e8751ad93bdb5b0113f6626461f2d312 Mon Sep 17 00:00:00 2001
From: AnaP2020 <anarita.preto@gmail.com>
Date: Sun, 10 May 2026 15:10:26 +0100
Subject: [PATCH] Lab done

---
 lab-python-data-structures.ipynb | 82 +++++++++++++++++++++++++++-----
 1 file changed, 71 insertions(+), 11 deletions(-)

diff --git a/lab-python-data-structures.ipynb b/lab-python-data-structures.ipynb
index 5b3ce9e0..f64bad1e 100644
--- a/lab-python-data-structures.ipynb
+++ b/lab-python-data-structures.ipynb
@@ -1,14 +1,5 @@
 {
  "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {
-    "tags": []
-   },
-   "source": [
-    "# Lab | Data Structures "
-   ]
-  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -50,11 +41,80 @@
     "\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": 50,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Inventory: {'t-shirt': 19, 'mug': 20, 'hat': 18, 'book': 5, 'keychain': 4}\n",
+      "Customer Orders: {' book', 'mug', ' hat'}\n",
+      "Order Statistics:\n",
+      "Total products ordered: 3\n",
+      "Percentage of products ordered: 4.55%\n"
+     ]
+    }
+   ],
+   "source": [
+    "products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n",
+    "inventory = {}\n",
+    "quantity_tshirt = int(input(\"Enter the quantity for t-shirt: \"))\n",
+    "quantity_mug = int(input(\"Enter the quantity for mug: \"))\n",
+    "quantity_hat = int(input(\"Enter the quantity for hat: \"))\n",
+    "quantity_book = int(input(\"Enter the quantity for book: \"))\n",
+    "quantity_keychain = int(input(\"Enter the quantity for keychain: \"))\n",
+    "inventory[\"t-shirt\"] = quantity_tshirt\n",
+    "inventory[\"mug\"] = quantity_mug\n",
+    "inventory[\"hat\"] = quantity_hat\n",
+    "inventory[\"book\"] = quantity_book\n",
+    "inventory[\"keychain\"] = quantity_keychain\n",
+    "print(f\"Inventory: {inventory}\")\n",
+    "customer_orders = set()\n",
+    "customer_wants_to_order = input(\"Enter the 3 products you want to order from the list (separated by commas): \")\n",
+    "customer_wants_to_order_list = customer_wants_to_order.split(\",\")\n",
+    "customer_orders.update(customer_wants_to_order_list)\n",
+    "print(f\"Customer Orders: {customer_orders}\")\n",
+    "total_products_ordered = len(customer_orders)\n",
+    "total_products_available = sum(inventory.values())\n",
+    "order_percentage = (total_products_ordered/total_products_available) * 100\n",
+    "order_status = (total_products_ordered, order_percentage)\n",
+    "print(\"Order Statistics:\")\n",
+    "print(f\"Total products ordered: {order_status[0]}\")\n",
+    "print(f\"Percentage of products ordered: {order_status[1]:.2f}%\")\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 48,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Total stock after the order for book: 18\n",
+      "Total stock after the order for hat: 14\n",
+      "Total stock after the order for mug: 17\n"
+     ]
+    }
+   ],
+   "source": [
+    "inventory[\"book\"] = inventory[\"book\"] - 1\n",
+    "inventory[\"hat\"] = inventory[\"hat\"] - 1\n",
+    "inventory[\"mug\"] = inventory[\"mug\"] - 1\n",
+    "print(f\"Total stock after the order for book: {inventory['book']}\")\n",
+    "print(f\"Total stock after the order for hat: {inventory['hat']}\")\n",
+    "print(f\"Total stock after the order for mug: {inventory['mug']}\")"
+   ]
   }
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
+   "display_name": "base",
    "language": "python",
    "name": "python3"
   },
@@ -68,7 +128,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.13"
+   "version": "3.13.9"
   }
  },
  "nbformat": 4,