Solved lab - day 1

lab-python-data-structures.ipynb

@@ -50,11 +50,112 @@
     "\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": [
+      "Inventory: {'t-shirt': 50, 'mug': 40, 'hat': 30, 'book': 20, 'keychain': 10}\n",
+      "Customer orders: {'mug': 5, 'book': 10, 'hat': 20}\n",
+      "Order Statistics:\n",
+      "   Total Products Ordered: 35\n",
+      "   Percentage of Products Ordered: 23.33%\n"
+     ]
+    }
+   ],
+   "source": [
+    "# My code:\n",
+    "\n",
+    "# This code defines a list of products, creates an empty inventory dictionary, and prompts the user to input the quantity for each product. \n",
+    "products =  [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n",
+    "inventory = {}\n",
+    "quantity = input(\"Please input the quantity for each product: t-shirt: \")\n",
+    "inventory[\"t-shirt\"] = int(quantity)\n",
+    "quantity = input(\"Please input the quantity for each product: mug: \")\n",
+    "inventory[\"mug\"] = int(quantity)\n",
+    "quantity = input(\"Please input the quantity for each product: hat: \")\n",
+    "inventory[\"hat\"] = int(quantity)\n",
+    "quantity = input(\"Please input the quantity for each product: book: \")\n",
+    "inventory[\"book\"] = int(quantity)\n",
+    "quantity = input(\"Please input the quantity for each product: keychain: \")\n",
+    "inventory[\"keychain\"] = int(quantity)\n",
+    "print(\"Inventory:\", inventory)\n",
+    "\n",
+    "# This code prompts the user to input three product names and their quantities, and stores them in a dictionary called customer_orders. Finally, it prints the customer orders.\n",
+    "customer_orders = {}\n",
+    "customer_name1 = input(\"Please enter the first product name: \")\n",
+    "quantity_prod1 = int(input(\"Please enter the quantity for the first product: \"))\n",
+    "customer_orders[customer_name1] = quantity_prod1\n",
+    "\n",
+    "customer_name2 = input(\"Please enter the second product name: \")\n",
+    "quantity_prod2 = int(input(\"Please enter the quantity for the second product: \"))\n",
+    "customer_orders[customer_name2] = quantity_prod2\n",
+    "\n",
+    "customer_name3 = input(\"Please enter the third product name: \")\n",
+    "quantity_prod3 = int(input(\"Please enter the quantity for the third product: \"))\n",
+    "customer_orders[customer_name3] = quantity_prod3\n",
+    "print(\"Customer orders:\", customer_orders)\n",
+    "\n",
+    "\n",
+    "# This code calculates the total of the orders ordered by the customer and the percentage of the total inventory that has been ordered. \n",
+    "total_order = int(quantity_prod1) + int(quantity_prod2) + int(quantity_prod3)\n",
+    "\n",
+    "total_inventory = sum(inventory.values())\n",
+    "\n",
+    "fill_rate = total_order / total_inventory\n",
+    "\n",
+    "order_status = (total_order, fill_rate)\n",
+    "\n",
+    "print(f\"\"\"Order Statistics:\n",
+    "   Total Products Ordered: {total_order}\n",
+    "   Percentage of Products Ordered: {fill_rate:.2%}\"\"\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 36,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Updated Inventory:\n",
+      "t-shirt: 49\n",
+      "mug: 39\n",
+      "hat: 29\n",
+      "book: 19\n",
+      "keychain: 9\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Modifying the inventory by subtracting 1 from each product quantity.\n",
+    "\n",
+    "updated_inventory = inventory.copy()\n",
+    "for product in inventory:\n",
+    "    updated_inventory[product] = updated_inventory[product] - 1\n",
+    "print(\"Updated Inventory:\")\n",
+    "for product, quantity in updated_inventory.items():\n",
+    "    print(f\"{product}: {quantity}\")\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
+   "display_name": "Python 3",
    "language": "python",
    "name": "python3"
   },
@@ -68,7 +169,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.13"
+   "version": "3.14.5"
   }
  },
  "nbformat": 4,