Notes:
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What problem does it solve?: Automatically calculates loan amortization schedules, breaking down each payment into principal and interest components.
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How can businesses benefit from customizing the code?: Customize loan parameters like payment frequency, loan term, and interest rates.
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How can businesses adopt the solution further?: Integrate the tool with loan management software or extend it to generate reports.
Actual Python Code:
import numpy as np
import pandas as pd
class LoanAmortization:
def __init__(self, loan_amount, interest_rate, periods):
self.loan_amount = loan_amount
self.interest_rate = interest_rate / 100 / 12 # Monthly interest rate
self.periods = periods
def calculate_amortization(self):
monthly_payment = self.loan_amount * self.interest_rate / (1 - (1 + self.interest_rate) ** -self.periods)
schedule = []
balance = self.loan_amount
for period in range(1, self.periods + 1):
interest = balance * self.interest_rate
principal = monthly_payment - interest
balance -= principal
schedule.append([period, principal, interest, monthly_payment, balance])
return pd.DataFrame(schedule, columns=['Period', 'Principal Payment', 'Interest Payment', 'Total Payment', 'Remaining Balance'])
def display_amortization_schedule(self):
df = self.calculate_amortization()
print(df)
# Example usage
loan = LoanAmortization(loan_amount=10000, interest_rate=5, periods=12)
loan.display_amortization_schedule()
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