diff --git a/lab-python-data-structures.ipynb b/lab-python-data-structures.ipynb index 5b3ce9e0..f03f1de2 100644 --- a/lab-python-data-structures.ipynb +++ b/lab-python-data-structures.ipynb @@ -50,13 +50,117 @@ "\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": 55, + "metadata": {}, + "outputs": [ + { + "name": "stdin", + "output_type": "stream", + "text": [ + "Enter quantity for t-shirt 4\n", + "Enter quantity for mug 5\n", + "Enter quantity for hat 3\n", + "Enter quantity for book 6\n", + "Enter quantity for keychain 7\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'t-shirt': 4, 'mug': 5, 'hat': 3, 'book': 6, 'keychain': 7}\n" + ] + }, + { + "name": "stdin", + "output_type": "stream", + "text": [ + "Choose one item from ['t-shirt', 'mug', 'hat', 'book', 'keychain'] tshirt\n", + "Choose one item from ['t-shirt', 'mug', 'hat', 'book', 'keychain'] mug\n", + "Choose one item from ['t-shirt', 'mug', 'hat', 'book', 'keychain'] hat\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'tshirt', 'mug', 'hat'}\n", + "60.0\n", + "(3, 60.0)\n", + "Order statistics:\n", + "total products ordered: 3 \n", + "percentage ordered: 60.0%\n", + "Updated Inventory:\n", + "t-shirt: 3\n", + "mug: 4\n", + "hat: 2\n", + "book: 5\n", + "keychain: 6\n" + ] + } + ], + "source": [ + "products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n", + "\n", + "inventory = {}\n", + "\n", + "for i in products: \n", + " quantity = int(input(f\"Enter quantity for {i}\"))\n", + " inventory[i] = quantity\n", + "\n", + "print(inventory)\n", + "\n", + "customer_orders = set()\n", + "\n", + "for i in range(3):\n", + " order = input(f\"Choose one item from {products}\")\n", + " customer_orders.add(order)\n", + "print(customer_orders)\n", + "\n", + "total_products_ordered = len(customer_orders)\n", + "\n", + "percentage_ordered = (total_products_ordered/len(products))* 100\n", + "\n", + "print(percentage_ordered)\n", + "\n", + "order_status = (total_products_ordered, percentage_ordered)\n", + "print(order_status)\n", + "\n", + "print(f\"Order statistics:\")\n", + "print(f\"total products ordered: {order_status[0]} \")\n", + "print(f\"percentage ordered: {order_status[1]}%\")\n", + "\n", + "\n", + "inventory[\"t-shirt\"] = inventory[\"t-shirt\"] - 1\n", + "inventory[\"mug\"] = inventory[\"mug\"] - 1\n", + "inventory[\"hat\"] = inventory[\"hat\"] - 1\n", + "inventory[\"book\"] = inventory[\"book\"] - 1\n", + "inventory[\"keychain\"] = inventory[\"keychain\"] - 1\n", + "\n", + "print(\"Updated Inventory:\")\n", + "print(\"t-shirt:\", inventory[\"t-shirt\"])\n", + "print(\"mug:\", inventory[\"mug\"])\n", + "print(\"hat:\", inventory[\"hat\"])\n", + "print(\"book:\", inventory[\"book\"])\n", + "print(\"keychain:\", inventory[\"keychain\"])\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] } ], "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 +172,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.13" + "version": "3.13.9" } }, "nbformat": 4,