Documentation¶

General¶

If you are familiar with scientific computing and symbolic manipulation with Python you should start with the SymPy vector/mechanics documentation and the PyDy documentation:

• Commands

• Symbolic Vectors [SymPy Docs]

• Symbolic Dynamics [SymPy Docs]

• PyDy Documentation

If you aren’t familiar with scientific computing with Python there are many sources to learn. You can start with the Python programming language itself, with the canonical source being the Python Documentation. The SciPy Lectures are a great intro to scientific computing with Python. Finally, to learn about how to do symbolic manipulation with SymPy, check out the SymPy Documentation, especially the tutorial.

Tutorials¶

We have a couple of tutorials. The human standing tutorial takes you through an entire workflow for a dynamics and control problem and is a good place to start.

• Beginner’s Tutorial

• Human Balance Tutorial

Examples¶

There are additionally a variety of examples which can be found here:

• Double Pendulum

• Chaos Pendulum

• Symbolic Dynamics Examples

• The PyDy Documentation Examples

• The PyDy Example Repository

• N Link Pendulum (also in the PyDy example repo)

• A bicycle model

• Peter Stahlecker’s SymPy, PyDy and Opty Examples