Skip to main content

An automatic differentiation package

Project description

Build Status

Coverage Status


CS207 Project Group 9:

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

Project Page:

This automatic differentiation package Bambanta performs both forward-mode and reverse-mode automatic differentiation. For details about the project, please consult the documentation.

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, or using doctest on

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

Bambanta-0.1.4.tar.gz (12.8 kB view hashes)

Uploaded source

Built Distribution

Bambanta-0.1.4-py3-none-any.whl (13.6 kB view hashes)

Uploaded py3

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Huawei Huawei PSF Sponsor Microsoft Microsoft PSF Sponsor NVIDIA NVIDIA PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page