  We introduce the Python package, FDApy, as an implementation of functional
data. This package provide modules for the analysis of such data. It includes
classes for different dimensional data as well as irregularly sampled
functional data. A simulation toolbox is also provided. It might be used to
simulate different clusters of functional data. Some methodologies to handle
these data are implemented, such as dimension reduction and clustering. New
methods can be easily added. The package is publicly available on the Python
Package Index and Github.
