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data_structure_lab_day1_second_time #508

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261ba73
¨Lab solved
MacarenaRuiz Jun 18, 2025
2f4e980
data_structure_lab_second_time
MacarenaRuiz Jun 18, 2025
9ae8190
third round
MacarenaRuiz Jun 20, 2025
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53 changes: 53 additions & 0 deletions .ipynb_checkpoints/dataLab_day1-checkpoint.py
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#As part of a business venture, you are starting an online store that sells various products. To ensure smooth operations, you need to develop a program that manages customer orders and inventory.
#Follow the steps below to complete the exercise:

#1. Define a list called `products` that contains the following items: "t-shirt", "mug", "hat", "book", "keychain".
products = ["t-shirt", "mug", "hat", "book", "keychain"]

#2. Create an empty dictionary called `inventory`.
inventory={}

#3. 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.#
for product in products:
num = float(input(f'Enter a quantity for {product}:'))
inventory[product]=num #dictionary enters all the values for each key provided
print('The dicctionary called inventory is:' ,inventory)

#4. Create an empty set called `customer_orders`.
customer_orders = set()
#5. 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.

for i in range(3):
product = input("Enter the name of a product to order (t-shirt, mug, hat, book, keychain): ")
if product in products:
customer_orders.add(product)
else:
print("Invalid product. Please choose from the available products.")

#6. Print the products in the `customer_orders` set.
print("Customer orders:", customer_orders)

#7. Calculate the following order statistics:
#- Total Products Ordered: The total number of products in the `customer_orders` set.
total_customers_ordered = len(customer_orders)
#- Percentage of Products Ordered: The percentage of products ordered compared to the total available products.
percentage_ordered= (total_customers_ordered/len(products))
#Store these statistics in a tuple called `order_status`.
order_status =(total_customers_ordered,percentage_ordered)

#8. Print the order statistics using the following format:
#Order Statistics:
#Total Products Ordered: <total_products_ordered>
#Percentage of Products Ordered: <percentage_ordered>%
print('The total of customers ordered:' , total_customers_ordered)
print('The percentage is: ', percentage_ordered)

#9. Update the inventory by subtracting 1 from the quantity of each product. Modify the `inventory` dictionary accordingly.
#inventory=inventory[:-1]


#10. Print the updated inventory, displaying the quantity of each product on separate lines.
#print(inventory)
#Solve the exercise by implementing the steps using the Python concepts of lists, dictionaries, sets, and basic input/output operations.
328 changes: 328 additions & 0 deletions .ipynb_checkpoints/lab-python-data-structures-checkpoint.ipynb
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{
"cells": [
{
"cell_type": "markdown",
"metadata": {
"tags": []
},
"source": [
"# Lab | Data Structures "
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Exercise: Managing Customer Orders\n",
"\n",
"#As part of a business venture, you are starting an online store that sells various products. To ensure smooth operations, you need to develop a program that manages customer orders and inventory.\n",
"\n",
"#Follow the steps below to complete the exercise:\n",
"\n",
"#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",
"\n",
"#2. Create an empty dictionary called `inventory`.\n",
"inventory_products={}\n",
"\n",
"#3. Ask the user to input the quantity of each product available in the inventory.\n",
"\n",
"product_inventory_ts=int(input('Please, insert the quantity for mug: '))\n",
"product_inventory_mug=int(input('Please, insert the quantity for mug: '))\n",
"product_inventory_hat=int(input('Please, insert the quantity for hat: '))\n",
"product_inventory_book=int(input('Please, insert the quantity for mug: '))\n",
"product_inventory_keychain=int(input('Please, insert the quantity for mug: '))\n",
"\n",
"#Use the product names from the `products` list as keys in the `inventory` dictionary and assign the respective quantities as values.\n",
"#products_name={}\n",
"\n",
"#4. Create an empty set called `customer_orders`.\n",
"customer_orders = set()\n",
"#5. 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",
"\n",
"#6. Print the products in the `customer_orders` set.\n",
"\n",
"#7. Calculate the following order statistics:\n",
" - Total Products Ordered: The total number of products in the `customer_orders` set.\n",
" - Percentage of Products Ordered: The percentage of products ordered compared to the total available products.\n",
" \n",
" Store these statistics in a tuple called `order_status`.\n",
"\n",
"#8. Print the order statistics using the following format:\n",
" ```\n",
" Order Statistics:\n",
" Total Products Ordered: <total_products_ordered>\n",
" Percentage of Products Ordered: <percentage_ordered>% \n",
" ```\n",
"\n",
"#9. Update the inventory by subtracting 1 from the quantity of each product. Modify the `inventory` dictionary accordingly.\n",
"\n",
"#10. Print the updated inventory, displaying the quantity of each product on separate lines.\n",
"\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": null,
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"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"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"#2. Create an empty dictionary called inventory. inventory_products={}\n",
"inventory={}"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"name": "stdin",
"output_type": "stream",
"text": [
"Please, insert the quantity for ts: 4\n",
"Please, insert the quantity for mug: 5\n",
"Please, insert the quantity for hat: 6\n",
"Please, insert the quantity for book: 72\n",
"Please, insert the quantity for keychain: 2\n"
]
}
],
"source": [
"##### 3. Ask the user to input the quantity of each product available in the inventory.\n",
"product_inventory_ts=int(input('Please, insert the quantity for ts: '))\n",
"product_inventory_mug=int(input('Please, insert the quantity for mug: ')) \n",
"product_inventory_hat=int(input('Please, insert the quantity for hat: ')) \n",
"product_inventory_book=int(input('Please, insert the quantity for book: ')) \n",
"product_inventory_keychain=int(input('Please, insert the quantity for keychain: '))"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"{'t-shirt': 4, 'mug': 5, 'hat': 6, 'book': 72, 'keychain': 2}\n"
]
}
],
"source": [
"#Use the product names from the products list as keys in the inventory dictionary and assign the respective quantities as values. \n",
"#products_name={}\n",
"inventory[\"t-shirt\"] = product_inventory_ts\n",
"inventory[\"mug\"] = product_inventory_mug\n",
"inventory[\"hat\"] = product_inventory_hat\n",
"inventory[\"book\"] = product_inventory_book\n",
"inventory[\"keychain\"] = product_inventory_keychain\n",
"print(inventory)\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"#4. Create an empty set called `customer_orders`.\n",
"customer_orders = set()\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"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."
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [
{
"name": "stdin",
"output_type": "stream",
"text": [
"Please, enter from those in the products list, meaning three products out of \"t-shirt\", \"mug\", \"hat\", \"book\" or \"keychain\" hat\n",
"Please, enter from those in the products list, meaning three products out of \"t-shirt\", \"mug\", \"hat\", \"book\" or \"keychain\" book\n",
"Please, enter from those in the products list, meaning three products out of \"t-shirt\", \"mug\", \"hat\", \"book\" or \"keychain\" mug\n"
]
}
],
"source": [
"product_1 = input('Please, enter from those in the products list, meaning three products out of \"t-shirt\", \"mug\", \"hat\", \"book\" or \"keychain\"')\n",
"product_2 = input('Please, enter from those in the products list, meaning three products out of \"t-shirt\", \"mug\", \"hat\", \"book\" or \"keychain\"')\n",
"product_3 = input('Please, enter from those in the products list, meaning three products out of \"t-shirt\", \"mug\", \"hat\", \"book\" or \"keychain\"')"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"{'hat', 'book', 'mug'}\n"
]
}
],
"source": [
"customer_orders = set([product_1, product_2, product_3])"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"The customer order is: {'hat', 'book', 'mug'}\n"
]
}
],
"source": [
"#6. Print the products in the customer_orders set.\n",
"print('The customer order is:' , customer_orders)"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"The total number of products: 3\n",
"The percentage of products ordered: 0.6\n"
]
}
],
"source": [
"#7. Calculate the following order statistics:\n",
"#Total Products Ordered: The total number of products in the customer_orders set.\n",
"total_products_ordered = len(customer_orders)\n",
"print('The total number of products: ', total_products_ordered)\n",
"#Percentage of Products Ordered: The percentage of products ordered compared to the total available products.\n",
"percentage_ordered = total_products_ordered/len(inventory)\n",
"print('The percentage of products ordered:', percentage_ordered)"
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {},
"outputs": [],
"source": [
"#Store these statistics in a tuple called order_status.\n",
"order_status = (total_products_ordered, percentage_ordered)"
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Total products ordered: 3\n",
"The percentage of products ordered: 0.6\n"
]
}
],
"source": [
"#8. Print the order statistics using the following format:\n",
"print('Total products ordered:', total_products_ordered)\n",
"print('The percentage of products ordered:', percentage_ordered)"
]
},
{
"cell_type": "code",
"execution_count": 25,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"{'t-shirt': 4, 'mug': 5, 'hat': 5, 'book': 72, 'keychain': 2}\n",
"{'t-shirt': 4, 'mug': 4, 'hat': 4, 'book': 71, 'keychain': 2}\n"
]
}
],
"source": [
"#9. Update the inventory by subtracting 1 from the quantity of each product. Modify the inventory dictionary accordingly.\n",
"print(inventory)\n",
"customer_order_list = list(customer_orders)\n",
"inventory[customer_order_list[0]] = inventory[customer_order_list[0]] - 1\n",
"inventory[customer_order_list[1]] = inventory[customer_order_list[1]] - 1\n",
"inventory[customer_order_list[2]] = inventory[customer_order_list[2]] - 1\n",
"print(inventory)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.8.5"
}
},
"nbformat": 4,
"nbformat_minor": 4
}
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