financecalculator is a Python package for calculating Financial Services specifically for loans or investment scenarios. This package serves as a convenient tool for managing personal finances, offering functionalities such as Periodic Payment(PMT) Calculation, Future Value(FV) Calculation, Present Value(PV) Calculation, and Frequency(N) Calculation.
Chaoyu Ou(Shell-human)
Meagan Gardner(meagangardner)
Ziming Fang(ethanfang08)
Zoe Ren(sgdkd)
$ pip install financecalculatorThis package offers four functions: PMT Calculation, FV Calculation, PV Calculation, N Calculation.
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PMT Calculation
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FV Calculation
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PV Calculation
present_value(principal, annual_rate, n_periods, contribution=0)Calculates the present value of an investment or loan, accounting for optional contributions.
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N Calculation
n_periods(principal, annual_rate, future_value, contribution=0)Calculates the number of periods (in months) needed to reach a specified future value.
principal (float): The initial investment or loan amount.
annual_rate (float): Annual interest rate (as a percentage, e.g., 5 for 5%).
n_periods (int): Total number of periods (in months).
contribution (float, optional): Payment made per period (monthly contributions). Defaults to 0 if not provided.
The financial calculator project situates itself within the Python ecosystem as a learning-oriented initiative aimed at developing practical skills in financial computation and programming. While the Python ecosystem already includes robust packages and applications like Loan Calculator and Financial Calculator App, this project serves as a valuable hands-on exercise for those seeking to deepen their understanding of financial concepts and Python development.
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Interested in contributing? Check out the contributing guidelines. Please note that this project is released with a Code of Conduct. By contributing to this project, you agree to abide by its terms.
financecalculator was created by Meagan Gardner. It is licensed under the terms of the MIT license.
financecalculator was created with cookiecutter and the py-pkgs-cookiecutter template.