Skip to main content

A command line application that creates amortization schedules.

Project description

amort/images/title.png

travis coverage version pyversions license

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/mandeepbhutani/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:

amort/images/amort.png

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

amort-0.20.0.tar.gz (4.3 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

amort-0.20.0-py3-none-any.whl (5.7 kB view details)

Uploaded Python 3

File details

Details for the file amort-0.20.0.tar.gz.

File metadata

  • Download URL: amort-0.20.0.tar.gz
  • Upload date:
  • Size: 4.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for amort-0.20.0.tar.gz
Algorithm Hash digest
SHA256 cc0f54fe06c1a68b5bba529891c97909f2e738e24a8d98789e15745333bb27f5
MD5 626084b91f023507d68c611a4fd03d72
BLAKE2b-256 da4143e9a9958ecf39071a0bd54d62273fcddd8be3889c983292610065f350b8

See more details on using hashes here.

File details

Details for the file amort-0.20.0-py3-none-any.whl.

File metadata

File hashes

Hashes for amort-0.20.0-py3-none-any.whl
Algorithm Hash digest
SHA256 02723504745f690605a8af3a733794538a5d42a76ec4a59fd23e0ad54a4be6da
MD5 fffc1dcd2244448e74d875652385d9d9
BLAKE2b-256 07b417fc6c36a6ba33d1a11a86da863333e5aeb1cf61e0c85e14cfb711bdeafe

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page