Amortization is a command line interface that outputs an amortization schedule based on the user’s input of the borrowed amount, interest rate, loan duration, and number of payments made annually. For reading on amortization schedules please visit: https://en.wikipedia.org/wiki/Amortization_schedule
Installation
Amortization requires the pandas library in order for the command line application to work correctly. Pandas should be pre-installed in the environment where amortization is installed. For pandas install instructions, please visit: http://pandas.pydata.org/
To install the Amortization package simply open a command line prompt and run:
pip install amort
If you would rather install from source, run the following commands:
git clone https://github.com/mandeep/Amortization.git cd Amortization python setup.py install
Usage
Once Amortization is installed, the command line application can be invoked with the following command and mandatory arguments:
amortization BORROWED INTEREST LENGTH PERIODS [NAME] Example: amortization 70000000 3 30 12 "Gulfstream G650 Loan"
Output of the command line application appears below:
Release files for amort 0.22.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| amort-0.22.1.tar.gz | 4.1 kB | Details |
Built distributions (wheels)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| amort-0.22.1-py3-none-any.whl | Python 3 | none | any | Details |
| amort-0.22.1-py2-none-any.whl | Python 2 | none | any | Details |
Total release size:15.0 kB
Release files / amort-0.22.1.tar.gz
| Download URL | amort-0.22.1.tar.gz |
|---|---|
| Size | 4.1 kB |
| Tags | Source |
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No |
Release files / amort-0.22.1-py3-none-any.whl
| Download URL | amort-0.22.1-py3-none-any.whl |
|---|---|
| Size | 5.4 kB |
| Tags | Python 3 |
|
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No |
Release files / amort-0.22.1-py2-none-any.whl
| Download URL | amort-0.22.1-py2-none-any.whl |
|---|---|
| Size | 5.4 kB |
| Tags | Python 2 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |