# Poppy Inverse Kinematics #
![Travis-CI](https://travis-ci.org/Phylliade/poppy-inverse-kinematics.svg?branch=master)
[![PyPI](https://img.shields.io/pypi/dd/poppy_inverse_kinematics.svg)]()
[![Binder](http://mybinder.org/badge.svg)](http://mybinder.org/repo/Phylliade/poppy-inverse-kinematics)
# Installation
You have two options :


1. From PyPI (recommended) : Simply run :
```
pip install poppy-inverse-kinematics
```
2. From source : First download and extract the archive, the run :
```
pip install ./
```    
NB : You must have the proper rights to execute this command

# API Documentation
An exhaustive documentation of the API can be found [here](http://poppy-inverse-kinematics.readthedocs.org).


# Dependencies and compatibility
The library can work with both versions of Python (2.7 and 3.x).
It requires numpy and scipy.

Sympy is optional and used for fast hybrid computation methods.

# Poppy Inverse Kinematics #
![Travis-CI](https://travis-ci.org/Phylliade/poppy-inverse-kinematics.svg?branch=master)
[![PyPI](https://img.shields.io/pypi/v/poppy_inverse_kinematics.svg)](https://pypi.python.org/pypi/poppy_inverse_kinematics/)
[![PyPI](https://img.shields.io/pypi/pyversions/poppy_inverse_kinematics/.svg)](https://pypi.python.org/pypi/poppy_inverse_kinematics/)
[![PyPI](https://img.shields.io/pypi/dm/poppy_inverse_kinematics.svg)](https://pypi.python.org/pypi/poppy_inverse_kinematics/)
[![Binder](http://mybinder.org/badge.svg)](http://mybinder.org/repo/Phylliade/poppy-inverse-kinematics)
# Installation
You have two options :


1. From PyPI (recommended) : Simply run :
```
pip install poppy-inverse-kinematics
```
2. From source : First download and extract the archive, the run :
```
pip install ./
```    
NB : You must have the proper rights to execute this command

# API Documentation
An exhaustive documentation of the API can be found [here](http://poppy-inverse-kinematics.readthedocs.org).


# Dependencies and compatibility
The library can work with both versions of Python (2.7 and 3.x).
It requires numpy and scipy.

Sympy is optional and used for fast hybrid computation methods.

Add badges to Readme + new version
Add badges to Readme + new version
