Introduction

This is a collection of Python modules which contain tools that are helpful for a dynamicist. Right now it is basically a place I place general tools that don't necessarily need a distribution of their own.

Modules

bicycle

Generic tools for basic bicycle dynamics analysis.

inertia

Various functions for calculating and manipulating inertial quantities.

process

Various tools for common signal processing tasks.

walk

Tools for working with gait data and walking models.

Installation

You will need Python 2.7 and setuptools to install the packages. Its best to install the dependencies first (NumPy, SciPy, matplotlib, Pandas). The SciPy Stack instructions are helpful for this: http://www.scipy.org/stackspec.html.

You can install using pip (or easy_install). Pip will theoretically [1] get the dependencies for you (or at least check if you have them):

$ pip install DynamicistToolKit

Or download the source with your preferred method and install manually.

Using Git:

$ git clone [email protected]:moorepants/DynamicistToolKit.git
$ cd DynamicistToolKit

Or wget:

$ wget https://github.com/moorepants/DynamicistToolKit/archive/master.zip
$ unzip master.zip
$ cd DynamicistToolKit-master

Then for basic installation:

$ python setup.py install

Or install for development purposes:

$ python setup.py develop

[1]	You will need all build dependencies and also note that matplotlib doesn't play nice with pip.

Tests

Run the tests with nose:

$ nosetests

Vagrant

A vagrant file and provisioning script are included to test the code on an Ubuntu 13.10 box. To load the box and run the tests simply type:

$ vagrant up

See bootstrap.sh and VagrantFile to see what's going on.

Documentation

The documentation is hosted at ReadTheDocs:

http://dynamicisttoolkit.readthedocs.org

You can build the documentation (currently sparse) if you have Sphinx and numpydoc:

$ cd docs
$ make html
$ firefox _build/html/index.html

Release Notes

• TravisCI tests now run.

0.2.0

• Addition of walking dynamics module.

0.1.0

• Original code base that was used for the computations in this dissertation: https://github.com/moorepants/dissertation