Problem 1

  • Two airplanes are in a race, your job is to make a plane name list, append the name value to the participents then make a variable that pulls the distance covered for each plane. in the end, in the curly brackets print the name of the plane, add more variables with curly brackets.
# Define a list of airplane race participants
participants = [
    {"name": "Billium Bang", "plane": "Red Rocket", "distance_covered": 1200},
    {"name": "Bushawn Bal", "plane": "The Biggest Bird", "distance_covered": 1500}
]

# Calculate the total distance covered by each pilot during the race
for participant in participants:
    # Extracting the necessary variables from the participant dictionary
    name = participant['name']
    plane = participant['plane']
    distance_covered = participant['distance_covered']
    
    # Print the details of each participant
    print(f"Pilot {name}, flying the plane named '{plane}', covered a distance of {distance_covered} miles!")

# Determine the winner
winner = max(participants, key=lambda x: x["distance_covered"])
print(f"The winner of the airplane race is {winner['name']} in the '{winner['plane']}' with a distance of {winner['distance_covered']} miles!")

Problem 2

  • Add more participants , in the loop, add a tricks variable that gets data from participants list score = tricks * 10 # Each trick is worth 10 points add a score and add it to a score in the list ex list[score] = score
# Define a list of dog show participants
participants = [
    {"name": "Fido", "breed": "Golden Retriever", "tricks": 4},
    {"name": "Buddy", "breed": "Labrador Retriever", "tricks": 3},
    {"name": "Charlie", "breed": "Beagle", "tricks": 5},
    {"name": "Max", "breed": "Rottweiler", "tricks": 2}
]

# Calculate the scores for each dog based on the number of tricks they can perform
for participant in participants:
    tricks = participant['tricks']  # Extracting the tricks value from the participant dictionary
    score = tricks * 10  # Each trick is worth 10 points
    participant['score'] = score  # Adding the calculated score to the participant dictionary

# Determine the winning dog
winner = max(participants, key=lambda x: x["score"])

# Display the dog show results
print("Dog Show Results:")
for participant in participants:
    print(f"{participant['name']} the {participant['breed']} performed {participant['tricks']} tricks and scored {participant['score']} points!")

print(f"The winner of the dog show is {winner['name']} with {winner['score']} points!")

this problem, were making a bank account, you just have to know what to do to add all of the functions to change the variables

# Define a class representing a Bank Account
class BankAccount:
    def __init__(self, account_holder, balance=0):
        self.account_holder = account_holder
        self.balance = balance

    def deposit(self, amount):
        if amount > 0:
            self.balance += amount  # Adding the deposited amount to the balance
            print(f"Deposited ${amount}. New balance: ${self.balance}")
        else:
            print("Invalid deposit amount.")

    def withdraw(self, amount):
        if 0 < amount <= self.balance:
            self.balance -= amount  # Subtracting the withdrawal amount from the balance
            print(f"Withdrew ${amount}. Remaining balance: ${self.balance}")
        else:
            print(f"Invalid withdrawal amount. Current balance: ${self.balance}")
                
    def get_balance(self):
        return f"Current balance: ${self.balance}"

    def __str__(self):
        return f"{self.account_holder}'s Account - Balance: ${self.balance}"


# Create two bank accounts: Alex with $1000 initially, and Noah with $5 initially
alexAccount = BankAccount("Alex", 1000)
noahAccount = BankAccount("Noah", 5)

# Perform transactions: withdraw all money from Alex, and deposit it all to Noah
alex_withdrawn_amount = alexAccount.balance
alexAccount.withdraw(alex_withdrawn_amount)
noahAccount.deposit(alex_withdrawn_amount)

# Noah goes on a spending spree and withdraws all of his money
noah_withdrawn_amount = noahAccount.balance
noahAccount.withdraw(noah_withdrawn_amount)

# Display account information
print("Alex Account:", alexAccount)
print("Noah Account:", noahAccount)

Withdrew $1000. Remaining balance: $0
Deposited $1000. New balance: $1005
Withdrew $1005. Remaining balance: $0
Alex Account: Alex's Account - Balance: $0
Noah Account: Noah's Account - Balance: $0

add more regions

import random

# Define a list of regions, each represented as a dictionary
regions = [
    {
        "name": "Region A",
        "GDP_growth": random.uniform(0.5, 3.0),
        "unemployment_rate": random.uniform(3.0, 10.0),
        "investment_score": random.uniform(50, 100),
        "education_index": random.uniform(0.5, 1.0),
        "infrastructure_quality": random.uniform(3.0, 8.0)
    },
    {
        "name": "Region B",
        "GDP_growth": random.uniform(0.5, 3.0),
        "unemployment_rate": random.uniform(3.0, 10.0),
        "investment_score": random.uniform(50, 100),
        "education_index": random.uniform(0.5, 1.0),
        "infrastructure_quality": random.uniform(3.0, 8.0)
    },
    # Add more regions as needed
]

# Define weights for each economic indicator
weights = {
    "GDP_growth": 0.4,
    "unemployment_rate": -0.2,
    "investment_score": 0.3,
    "education_index": 0.1,
    "infrastructure_quality": 0.2
}

# Function to calculate a score for each region based on economic indicators and weights
def calculate_score(region):
    score = 0
    for indicator, weight in weights.items():
        score += region[indicator] * weight
    return score

# Find the region with the highest economic growth potential
best_region = max(regions, key=calculate_score)

# Display information about the winning region
print(f"The region with the highest economic growth potential is {best_region['name']}:")
print(f"- GDP Growth Rate: {best_region['GDP_growth']:.2f}%")
print(f"- Unemployment Rate: {best_region['unemployment_rate']:.2f}%")
print(f"- Investment Score: {best_region['investment_score']:.2f}")
print(f"- Education Index: {best_region['education_index']:.2f}")
print(f"- Infrastructure Quality: {best_region['infrastructure_quality']:.2f}")

problem final

  • make an empty list and dictionary
  • add data in all of the given simple loops, so that this problem runs its print functions without error
  • this one is hard, try very hard, a heartfelt atempt, like all of the code done with minor issues is still full credit

try to understand this problem, it has lots of data abstractions

data is given on the bottem and a function is calling it IMPORTANT!!!

def simulate_data_structure(data):
    city_data = {}  # Dictionary to store city data
    city_stats = {}  # Dictionary to store city statistics

    for person in data:
        name = person['name']
        age = person['age']
        city = person['city']

        # 1. Create a dictionary of city data
        if city not in city_data:
            city_data[city] = {"names": [], "total_age": 0, "total_people": 0}

        city_data[city]["names"].append(name)  # Add the name to the city's list
        city_data[city]["total_age"] += age  # Add the age to the city's total age
        city_data[city]["total_people"] += 1  # Increment the total people count

    for city, city_info in city_data.items():
        # 2. Calculate the average age for each city
        average_age = city_info["total_age"] / city_info["total_people"]
        city_info["average_age"] = round(average_age, 2)  # Round to 2 decimal places

        # 3. Create a dictionary for city statistics
        city_stats[city] = {"average_age": city_info["average_age"], "total_people": city_info["total_people"]}

    # Add the city statistics under the "Statistics" key
    city_data["Statistics"] = city_stats

    return city_data


# Example data
data = [
    {"name": "Alice", "age": 25, "city": "New York"},
    {"name": "Bob", "age": 30, "city": "Los Angeles"},
    {"name": "Charlie", "age": 22, "city": "New York"},
    {"name": "David", "age": 35, "city": "Los Angeles"},
    {"name": "Eve", "age": 28, "city": "Chicago"},
]

result = simulate_data_structure(data)
print(result)

ingredients = ["butter", "white sugar", "light brown sugar", "vanilla extract", "eggs", "flour", "chocolate chips", "baking soda", "salt", "baking powder"]
# Print this list

# << CODE >>


# Create a list called bowl
# Your list must include:
# "flour"
# "baking soda"
# "salt"
# "baking powder"
# When creating this list, make sure to remove these items from the "ingredients" list!
# Print your list

# << CODE >>

# Create a list called cream
# Include:
# "butter"
# "white sugar"
# "light brown sugar"
# "vanilla extract"
# "eggs"
# When creating this list, make sure to remove these items from the "ingredients" list!
# Print your list

# << CODE >>

# Create a list called "dough"
# Combine the bowl list and cream list together
# Print your list

# << CODE >>

# Append chocolate chips to the dough list and remove it from the ingredients list
# Print the list

# << CODE >>

# Create a string that says "Now roll the dough into balls and place them on cookie sheets!"
# Print it

# << CODE >>

# Create an int called temperature and set it to 375
# Print "Place in a <<your integer goes here>> F oven for 8-10 minutes and remove just before they start to turn brown."

# << CODE >>

# Create an int called "cool down" using pascal case and set it to 2
# Print "Let them sit on the baking pan for <<your integer goes here>> minutes before removing to cooling rack."

# << CODE >>

# Create 5 string (use whatever casing you feel)
# First string should be "Enjoy"
# Second string should be "your"
# Third string should be "CHOCOLATE"
# Fourth string should be "CHIP"
# Fifth string should be "COOKIES!!!"
# Using ONE print statement, print ALL of these variables (with a space between each)

# << CODE >>

# JSON CHALLENGE
# can your do the whole project by using a JSON list?
# can you convert it to a python dictionary and do all these steps?

# Yes this is a real cookie recipe. You can find it below if you wanna make them! :)
# https://joyfoodsunshine.com/the-most-amazing-chocolate-chip-cookies/