Metadata-Version: 2.1
Name: awesomediff-test
Version: 1.0.0
Summary: A package for automatic differentiation
Home-page: https://github.com/awesomediff/cs207-FinalProject
Author: Claire
Author-email: author@example.com
License: UNKNOWN
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown

# cs207-FinalProject

[![Build Status](https://travis-ci.org/awesomediff/cs207-FinalProject.svg?branch=master)](https://travis-ci.org/awesomediff/cs207-FinalProject)  [![codecov](https://codecov.io/gh/awesomediff/cs207-FinalProject/branch/master/graph/badge.svg)](https://codecov.io/gh/awesomediff/cs207-FinalProject)

Harvard CS207 Final Project: Automatic Differentiation

Group #: 7  

Members: Wanxi Yang, Gabriel Pestre, Claire Yang, Erin Yang  

### Installation
* For a detailed explanation of how to install the package, check out the documentation.
* The package will be available on PyPI.
    - You can either install the package in your local environment or in a virtual environment.
* If you have a Python3 environment with `numpy` installed ready to go, the `awesomediff` package can be installed using the following code:
```
pip install awesomediff
```
* Right now, the package is not available on PyPI yet, so install using methods below:
* Clone the project's git repository to your machine:
```
git clone https://github.com/awesomediff/cs207-FinalProject.git
```
* If you want to install the package in a virtual environment, set up the virtual environment in the cloned directory using:
```
pip3 install virtualenv
virtualenv -p python3 venv
source venv/bin/activate
```
Then install the dependencies:
```
pip3 install -r requirements.txt
```


