diff --git a/lab-python-data-structures.ipynb b/lab-python-data-structures.ipynb index 5b3ce9e0..1c4556f5 100644 --- a/lab-python-data-structures.ipynb +++ b/lab-python-data-structures.ipynb @@ -50,6 +50,189 @@ "\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": 47, + "metadata": {}, + "outputs": [], + "source": [ + "# 1.\n", + "products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]" + ] + }, + { + "cell_type": "code", + "execution_count": 48, + "metadata": {}, + "outputs": [], + "source": [ + "# 2.\n", + "inventory = {}" + ] + }, + { + "cell_type": "code", + "execution_count": 49, + "metadata": {}, + "outputs": [ + { + "name": "stdin", + "output_type": "stream", + "text": [ + "Enter quantity: 4\n", + "Enter quantity: 6\n", + "Enter quantity: 7\n", + "Enter quantity: 9\n", + "Enter quantity: 10\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'t-shirt': 4, 'mug': 6, 'hat': 7, 'book': 9, 'keychain': 10}\n" + ] + } + ], + "source": [ + "# 3.\n", + "for product in products:\n", + " inventory[product] = int(input(\"Enter quantity: \"))\n", + "\n", + "print(inventory)" + ] + }, + { + "cell_type": "code", + "execution_count": 50, + "metadata": {}, + "outputs": [], + "source": [ + "# 4.\n", + "customer_orders = set()" + ] + }, + { + "cell_type": "code", + "execution_count": 51, + "metadata": {}, + "outputs": [ + { + "name": "stdin", + "output_type": "stream", + "text": [ + "Enter your order 1: book\n", + "Enter your order 2: mug\n", + "Enter your order 3: hat\n" + ] + } + ], + "source": [ + "# 5.\n", + "for i in range(3):\n", + " order = input(f\"Enter your order {i + 1}: \")\n", + " while order not in products:\n", + " order = input(f\"Enter your order {i + 1}: \")\n", + " customer_orders.add(order) " + ] + }, + { + "cell_type": "code", + "execution_count": 52, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{'book', 'hat', 'mug'}" + ] + }, + "execution_count": 52, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# 6.\n", + "customer_orders" + ] + }, + { + "cell_type": "code", + "execution_count": 53, + "metadata": {}, + "outputs": [], + "source": [ + "# 7.\n", + "total_products_ordered = len(customer_orders)\n", + "percentage = (total_products_ordered / len(products)) * 100\n", + "order_status = (total_products_ordered, percentage)" + ] + }, + { + "cell_type": "code", + "execution_count": 54, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Order Statistics:\n", + "Total Products Ordered: 3\n", + "Percentage of Products Ordered: 60.0%\n" + ] + } + ], + "source": [ + "# 8.\n", + "print(\"Order Statistics:\")\n", + "print(f\"Total Products Ordered: \", total_products_ordered)\n", + "print(f\"Percentage of Products Ordered: {percentage}%\") \n", + " " + ] + }, + { + "cell_type": "code", + "execution_count": 55, + "metadata": {}, + "outputs": [], + "source": [ + "# 9.\n", + "for product in customer_orders:\n", + " inventory[product] -= 1" + ] + }, + { + "cell_type": "code", + "execution_count": 56, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "t-shirt: 4\n", + "mug: 5\n", + "hat: 6\n", + "book: 8\n", + "keychain: 10\n" + ] + } + ], + "source": [ + "# 10.\n", + "for product, quantity in inventory.items():\n", + " print(f\"{product}: {quantity}\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] } ], "metadata": { @@ -68,7 +251,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.13" + "version": "3.14.0" } }, "nbformat": 4,