Metadata-Version: 2.1
Name: Bambanta
Version: 0.1.4
Summary: An automatic differentiation package
Home-page: https://github.com/CS207-Project-Group-9/cs207-FinalProject
Author: Karina Huang, Rong Liu, Rory Maizels
License: MIT
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
Requires-Dist: numpy

[![Build Status](https://travis-ci.org/CS207-Project-Group-9/cs207-FinalProject.svg?branch=master)](https://travis-ci.org/CS207-Project-Group-9/cs207-FinalProject)

[![Coverage Status](https://coveralls.io/repos/github/CS207-Project-Group-9/cs207-FinalProject/badge.svg?branch=master)](https://coveralls.io/github/CS207-Project-Group-9/cs207-FinalProject?branch=master)

# Bambanta

### CS207 Project Group 9:

**Authors:** Qiansha (Karina) Huang, Rong Liu, Rory Maizels

**Project Page:** https://pypi.org/project/Bambanta/

This automatic differentiation package `Bambanta` performs both forward-mode and reverse-mode automatic differentiation. For details about the project, please consult the [documentation](https://github.com/CS207-Project-Group-9/cs207-FinalProject/blob/master/docs/Final.ipynb).

### Installation Guide

We recommend installing our package in a virtual environment. Please ensure that a version of `virtualenv` is already installed in your machine, and follow the steps:

```
virtualenv env

source env/bin/activate

pip install Bambanta
```

### Testing `Bambanta`

Our module may be tested using `pytest` on `AutoDiff.py`, or using `doctest` on `test_AutoDiff.py`.



