diff --git a/lab-python-functions.ipynb b/lab-python-functions.ipynb index 44d337b..a954415 100644 --- a/lab-python-functions.ipynb +++ b/lab-python-functions.ipynb @@ -43,13 +43,209 @@ "\n", "\n" ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "124df5a7-007b-416d-aeec-7a892f94e6e1", + "metadata": {}, + "outputs": [], + "source": [ + "products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "ce1ef732-1998-43af-9c4f-e97a28100275", + "metadata": {}, + "outputs": [], + "source": [ + "def initialize_inventory(products):\n", + " inventory = {}\n", + "\n", + " for product in products:\n", + " quantity = int(input(f\"Enter the quantity of {product}: \"))\n", + " inventory[product] = quantity\n", + "\n", + " return inventory" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "f0e78b2f-de51-45f1-9fc6-cc484d1393c8", + "metadata": {}, + "outputs": [], + "source": [ + "def get_customer_orders():\n", + " customer_orders = set()\n", + "\n", + " while True:\n", + " product = input(\n", + " \"Enter a product name or type 'stop' to finish: \"\n", + " ).lower()\n", + "\n", + " if product in products:\n", + " customer_orders.add(product)\n", + "\n", + " elif product == \"stop\":\n", + " print(\"Ordering finished.\")\n", + " break\n", + "\n", + " else:\n", + " print(\"This product is not available.\")\n", + "\n", + " return customer_orders" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "3cd0df25-5720-45b4-92ea-3887ffb72e5b", + "metadata": {}, + "outputs": [], + "source": [ + "def update_inventory(customer_orders,inventory):\n", + " for product in customer_orders:\n", + " if product in inventory and inventory[product] > 0:\n", + " inventory[product] -= 1\n", + "\n", + " return inventory\n", + " \n", + " " + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "id": "1c51f961-d734-4854-a015-bf88ef386d5c", + "metadata": {}, + "outputs": [], + "source": [ + "def calculate_order_statistics(customer_orders, products):\n", + " total_products_ordered = len(customer_orders)\n", + "\n", + " percentage_products_ordered = (total_products_ordered / len(products)) * 100\n", + "\n", + " return (total_products_ordered, percentage_products_ordered)\n", + "\n", + " \n", + " " + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "id": "b7120318-05ea-4cbc-88ef-f1fd02b72d0e", + "metadata": {}, + "outputs": [], + "source": [ + "def print_order_statistics(order_statistics ):\n", + " print (\"Order Statistics:\")\n", + " print(f\"Total Products Ordered: {order_statistics[0]}\")\n", + " print(\n", + " f\"Percentage of Unique Products Ordered: \"\n", + " f\"{order_statistics[1]:.2f}%\")\n", + "\n", + " \n", + "\n", + " " + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "id": "aa777fe3-09f5-462e-8572-7f1db17c0c34", + "metadata": {}, + "outputs": [], + "source": [ + "def print_updated_inventory(inventory):\n", + " print(\"Updated Inventory:\")\n", + "\n", + " for product, quantity in inventory.items():\n", + " print(f\"{product}: {quantity}\")" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "id": "e307b1d0-57d4-43f5-98db-4c9b3e1eb444", + "metadata": {}, + "outputs": [], + "source": [ + "def print_updated_inventory(inventory):\n", + " print(\"Updated Inventory:\")\n", + "\n", + " for product, quantity in inventory.items():\n", + " print(f\"{product}: {quantity}\")" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "id": "9e515355-28ad-4053-ab80-e81703b40837", + "metadata": {}, + "outputs": [ + { + "name": "stdin", + "output_type": "stream", + "text": [ + "Enter the quantity of t-shirt: 5\n", + "Enter the quantity of mug: 4\n", + "Enter the quantity of hat: 6\n", + "Enter the quantity of book: 2\n", + "Enter the quantity of keychain: 1\n", + "Enter a product name or type 'stop' to finish: stop\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Ordering finished.\n", + "Order Statistics:\n", + "Total Products Ordered: 0\n", + "Percentage of Unique Products Ordered: 0.00%\n", + "Updated Inventory:\n", + "t-shirt: 5\n", + "mug: 4\n", + "hat: 6\n", + "book: 2\n", + "keychain: 1\n" + ] + } + ], + "source": [ + "products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n", + "\n", + "inventory = initialize_inventory(products)\n", + "customer_orders = get_customer_orders()\n", + "inventory = update_inventory(customer_orders, inventory)\n", + "\n", + "order_statistics = calculate_order_statistics(\n", + " customer_orders,\n", + " products\n", + ")\n", + "\n", + "print_order_statistics(order_statistics)\n", + "print_updated_inventory(inventory)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "2846d308-f913-4d34-b246-3351ea50734f", + "metadata": {}, + "outputs": [], + "source": [] } ], "metadata": { "kernelspec": { - "display_name": "Python 3 (ipykernel)", + "display_name": "pj1_env", "language": "python", - "name": "python3" + "name": "venv" }, "language_info": { "codemirror_mode": { @@ -61,7 +257,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.13" + "version": "3.12.13" } }, "nbformat": 4,