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finished lab #531

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168 changes: 166 additions & 2 deletions lab-python-data-structures.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -50,11 +50,175 @@
"\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": 2,
"metadata": {},
"outputs": [],
"source": [
"# Define a list called `products` that contains the following items: \"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\".\n",
"products = ['t-shirt', 'mug', 'hat', 'book', 'keychain']"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"\n",
"# Create an empty dictionary called `inventory`.\n",
"inventory = {}"
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {},
"outputs": [],
"source": [
"# Ask the user to input the quantity of each product available in the inventory. Use the product names from the `products` list as keys in the `inventory` dictionary and assign the respective quantities as values.\n",
"quantity = int(input('How many t-shirts are available: '))\n",
"inventory['t-shirt'] = quantity\n",
"quantity = int(input('How many mug are available: '))\n",
"inventory['mug'] = quantity\n",
"quantity = int(input('How many hat are available: '))\n",
"inventory['hat'] = quantity\n",
"quantity = int(input('How many book are available: '))\n",
"inventory['book'] = quantity\n",
"quantity = int(input('How many keychain are available: '))\n",
"inventory['keychain'] = quantity"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [],
"source": [
"# Ask the user to input the quantity of each product available in the inventory. Use the product names from the `products` list as keys in the `inventory` dictionary and assign the respective quantities as values.\n",
"# Upgraded version from above\n",
"for product in products:\n",
" quantity = int(input(f'How many {product}s are available: '))\n",
" inventory[product] = quantity"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [],
"source": [
"# Create an empty set called `customer_orders`.\n",
"customer_orders = set()"
]
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {},
"outputs": [],
"source": [
"# Ask the user to input the name of three products that a customer wants to order (from those in the products list, meaning three products out of \"t-shirt\", \"mug\", \"hat\", \"book\" or \"keychain\". Add each product name to the `customer_orders` set.\n",
"order = input('Please say which of the following items you would like: t-shirt, mug, hat, book, keychain')\n",
"customer_orders.add(order)\n",
"order = input('Please say which of the following items you would like: t-shirt, mug, hat, book, keychain')\n",
"customer_orders.add(order)\n",
"order = input('Please say which of the following items you would like: t-shirt, mug, hat, book, keychain')\n",
"customer_orders.add(order)"
]
},
{
"cell_type": "code",
"execution_count": 27,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"{'book', 'hat', 'mug'}\n"
]
}
],
"source": [
"# Print the products in the `customer_orders` set.\n",
"print(customer_orders)\n"
]
},
{
"cell_type": "code",
"execution_count": 31,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Total products ordered : 3\n",
"Percentage of products ordered : 60.0%\n"
]
}
],
"source": [
"# Calculate and print the following order statistics:\n",
" # - Total Products Ordered: The total number of products in the `customer_orders` set.\n",
"products_ordered = len(customer_orders)\n",
"print(f'Total products ordered : {products_ordered}')\n",
" # - Percentage of Products Ordered: The percentage of products ordered compared to the total available products.\n",
"percent = (len(customer_orders)/len(products))*100\n",
"print(f'Percentage of products ordered : {percent}%')\n",
" # Store these statistics in a tuple called `order_status`.\n",
"order_status = (products_ordered, percent)\n"
]
},
{
"cell_type": "code",
"execution_count": 43,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"{'t-shirt': 1, 'mug': -3, 'hat': -2, 'book': -3, 'keychain': 5}\n"
]
}
],
"source": [
"# Update the inventory by subtracting 1 from the quantity of each product. Modify the `inventory` dictionary accordingly.\n",
"print(inventory) # this was the inventory before customer purchase\n",
"prod_1 = list(customer_orders)[0]\n",
"inventory[prod_1]-=1\n",
"prod_2 = list(customer_orders)[1]\n",
"inventory[prod_2]-=1\n",
"prod_3 = list(customer_orders)[2]\n",
"inventory[prod_3]-=1"
]
},
{
"cell_type": "code",
"execution_count": 50,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"{'t-shirt': 1, 'mug': -4, 'hat': -3, 'book': -4, 'keychain': 5}\n"
]
}
],
"source": [
"# Print the updated inventory, displaying the quantity of each product on separate lines.\n",
"print(inventory)"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"display_name": "base",
"language": "python",
"name": "python3"
},
Expand All @@ -68,7 +232,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.13"
"version": "3.13.5"
}
},
"nbformat": 4,
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