From e654695982198de58c6be8623468513027ec7555 Mon Sep 17 00:00:00 2001
From: ghazal-hassanzadeh <ghazalhassanzadeh93@gmail.com>
Date: Tue, 7 Oct 2025 15:20:52 +0200
Subject: [PATCH] week1-Lab1

---
 lab-python-data-structures.ipynb | 191 ++++++++++++++++++++++++++++++-
 1 file changed, 189 insertions(+), 2 deletions(-)

diff --git a/lab-python-data-structures.ipynb b/lab-python-data-structures.ipynb
index 5b3ce9e0..b07d3e31 100644
--- a/lab-python-data-structures.ipynb
+++ b/lab-python-data-structures.ipynb
@@ -50,11 +50,198 @@
     "\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', 'mug', 'hat', 'book', 'keychain']\n"
+     ]
+    }
+   ],
+   "source": [
+    "# step 1: Defining the list      # list\n",
+    "\n",
+    "products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n",
+    "\n",
+    "print(products)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# step 2: creating an empty dictionary    # dictionary\n",
+    "\n",
+    "inventory = {}"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'t-shirt': 1, 'mug': 2, 'hat': 3, 'book': 4, 'keychain': 5}\n"
+     ]
+    }
+   ],
+   "source": [
+    "# step 3: Asking the user to enter the quantity of each product available in the inventory    # for loop\n",
+    "\n",
+    "for product in products:\n",
+    "    quantity = int(input(f\"Please enter the quantity of {products}: \"))\n",
+    "    inventory[product] = quantity      # In the dictionary inventory, create (or update) an entry where the key is product and the value is quantity\n",
+    "print(inventory)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# step 4: creating an empty set   # set()\n",
+    "\n",
+    "customer_orders = set()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'book', 'hat', 't-shirt', 'book,', 'keychain', 'mug'}\n"
+     ]
+    }
+   ],
+   "source": [
+    "# step 5: Asking user to enter the name of 3 products that they want to order\n",
+    "\n",
+    "for i in range(3):\n",
+    "    order = input(f\"Please enter product {i+1} that you want to order. Attention! Please choose from {products} list: \")\n",
+    "    customer_orders.add(order)\n",
+    "\n",
+    "# Step 6: Printing products in the set \n",
+    "\n",
+    "print(customer_orders)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "6\n"
+     ]
+    }
+   ],
+   "source": [
+    "#Step 7: Calculate total products ordered\n",
+    "\n",
+    "total_products_ordered = len(customer_orders)\n",
+    "print(total_products_ordered)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "120.0\n"
+     ]
+    }
+   ],
+   "source": [
+    "percentage_of_ordered_products = (total_products_ordered / len(products)) * 100\n",
+    "print(percentage_of_ordered_products)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Order Statistics:\n",
+      "Total Products Ordered: 6\n",
+      "Percentage of Products Ordered: 120.0%\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Step 8: Prining the statistics\n",
+    "print(\"Order Statistics:\")\n",
+    "print(f\"Total Products Ordered: {total_products_ordered}\")\n",
+    "print(f\"Percentage of Products Ordered: {percentage_of_ordered_products}%\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Step 9: Updating Inventory\n",
+    "for product in customer_orders:\n",
+    "    if product in inventory:\n",
+    "        inventory[product] -= 1"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Updated inventory is: \n",
+      "t-shirt: -2\n",
+      "mug: -1\n",
+      "hat: 0\n",
+      "book: 1\n",
+      "keychain: 2\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Step 10: Print the updated Inventory\n",
+    "print(\"Updated inventory is: \")\n",
+    "for product, quantity in inventory.items():\n",
+    "    print(f\"{product}: {quantity}\")"
+   ]
   }
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
+   "display_name": "base",
    "language": "python",
    "name": "python3"
   },
@@ -68,7 +255,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.13"
+   "version": "3.13.5"
   }
  },
  "nbformat": 4,