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A package for automatic differentiation

Project description


Build Status codecov

Harvard CS207 Final Project: Automatic Differentiation

Group #: 7

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


  • 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
  • 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

Project details

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Files for awesomediff-test, version 1.0.0
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Filename, size awesomediff_test-1.0.0-py3-none-any.whl (13.2 kB) File type Wheel Python version py3 Upload date Hashes View
Filename, size awesomediff-test-1.0.0.tar.gz (9.9 kB) File type Source Python version None Upload date Hashes View

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