  Kendall shape spaces are a widely used framework for the statistical analysis
of shape data arising from many domains, often requiring the parallel transport
as a tool to normalise time series data or transport gradient in optimisation
procedures. We present an implementation of the pole ladder, an algorithm to
compute parallel transport based on geodesic parallelograms and compare it to
methods by integration of the parallel transport ordinary differential
equation.
