diff --git a/lab-python-data-structures.ipynb b/lab-python-data-structures.ipynb index 5b3ce9e0..b378e947 100644 --- a/lab-python-data-structures.ipynb +++ b/lab-python-data-structures.ipynb @@ -50,13 +50,332 @@ "\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": 4, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "list" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#1. Define a list called `products` that contains the following items: \"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\".\n", + "\n", + "products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n", + "type (products)" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "dict" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#2. Create an empty dictionary called `inventory`.\n", + "inventory = {}\n", + "type (inventory)" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "name": "stdin", + "output_type": "stream", + "text": [ + "Enter the number of t-shirts: 4\n", + "Enter the number of mugs: 5\n", + "Enter the number of hats: 6\n", + "Enter the number of books: 7\n", + "Enter the number of keychains: 8\n" + ] + } + ], + "source": [ + "#3. Ask the user to input the quantity of each product available in the inventory. Use the product names from the\n", + "#`products` list as keys in the `inventory` dictionary and assign the respective quantities as values.\n", + "\n", + "tshirt_quantity= int(input(\"Enter the number of t-shirts: \"))\n", + "mug_quantity= int(input(\"Enter the number of mugs: \"))\n", + "hat_quantity= int(input(\"Enter the number of hats: \"))\n", + "book_quantity= int(input(\"Enter the number of books: \"))\n", + "keychain_quantity= int(input(\"Enter the number of keychains: \"))\n", + "\n", + "inventory = {\"t-shirt\":tshirt_quantity, \"mug\":mug_quantity, \"hat\":hat_quantity, \"book\":book_quantity, \"keychain\":keychain_quantity}\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "dict" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "type(inventory)" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [], + "source": [ + "#4. Create an empty set called `customer_orders`.\n", + "\n", + "customer_orders= {}" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "name": "stdin", + "output_type": "stream", + "text": [ + "What's the first product that you'd like to order: mug\n", + "What's the second product that you'd like to order: book\n", + "What's the third product that you'd like to order: hat\n" + ] + } + ], + "source": [ + "#5. Ask the user to input the name of three products that a customer wants to order \n", + "#(from those in the products list, meaning three products out of \"t-shirt\", \"mug\", \"hat\", \"book\" or \"keychain\". \n", + "#Add each product name to the `customer_orders` set.\n", + "\n", + "order1=input(\"What's the first product that you'd like to order: \")\n", + "order2=input(\"What's the second product that you'd like to order: \")\n", + "order3=input(\"What's the third product that you'd like to order: \")\n", + "\n", + "customer_orders= {order1,order2,order3}\n" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "set" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "type(customer_orders)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'book', 'hat', 'mug'}\n" + ] + } + ], + "source": [ + "#6. Print the products in the `customer_orders` set.\n", + "\n", + "print (customer_orders)" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "3\n" + ] + } + ], + "source": [ + "#7. Calculate the following order statistics: \n", + "#Total Products Ordered: The total number of products in the `customer_orders` set.\n", + "\n", + "number_of_orders=len(customer_orders)\n", + "print(number_of_orders)\n", + "\n", + " " + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "60.0 %\n" + ] + } + ], + "source": [ + "# Calculate the following order statistics: \n", + "# Percentage of Products Ordered: The percentage of products ordered compared to the total available products.\n", + "\n", + "percentage_of_orders= number_of_orders/5*100\n", + "print((percentage_of_orders) , '%')\n" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "tuple" + ] + }, + "execution_count": 16, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Store these statistics in a tuple called `order_status`.\n", + "\n", + "order_status=(number_of_orders,percentage_of_orders)\n", + "type(order_status)" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Order Statistics: Total Products Ordered:3, Percentage of Products Ordered:60.0 %\n" + ] + } + ], + "source": [ + "#8. Print the order statistics using the following format:\n", + " # ```\n", + " # Order Statistics:\n", + " # Total Products Ordered: \n", + " #Percentage of Products Ordered: % \n", + " #```\n", + "\n", + "text= f\"Order Statistics: Total Products Ordered:{number_of_orders}, Percentage of Products Ordered:{percentage_of_orders} %\"\n", + "print(text)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [], + "source": [ + "#9. Update the inventory by subtracting 1 from the quantity of each product. \n", + "#Modify the `inventory` dictionary accordingly.\n", + "\n", + "inventory = {\"t-shirt\":tshirt_quantity-1, \"mug\":mug_quantity-1, \"hat\":hat_quantity-1, \"book\":book_quantity-1, \"keychain\":keychain_quantity-1}\n" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'t-shirt': 3, 'mug': 4, 'hat': 5, 'book': 6, 'keychain': 7}\n" + ] + } + ], + "source": [ + "print(inventory)\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "#10. Print the updated inventory, displaying the quantity of each product on separate lines.\n", + "print(\"Update Inventory:\")\n", + "print(\"T-shirts:\", inventory[\"t-shirt\"])\n", + "print(\"Mugs:\",inventory[\"mug\"])\n", + "print(\"Hats:\",inventory[\"hat\"])\n", + "print(\"Books:\",inventory[\"book\"])\n", + "print(\"Keychains:\",inventory[\"keychain\"])\n", + "\n", + "\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] } ], "metadata": { "kernelspec": { - "display_name": "Python 3 (ipykernel)", + "display_name": "Python [conda env:Anaconda]", "language": "python", - "name": "python3" + "name": "conda-env-Anaconda-py" }, "language_info": { "codemirror_mode": { @@ -68,7 +387,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.13" + "version": "3.13.9" } }, "nbformat": 4,