deletions | additions       diff --git a/Future.tex b/Future.tex  index 6bb4178..1ae1a71 100644  --- a/Future.tex  +++ b/Future.tex 
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At the moment the user is required to pass each required field to the visualization methods individually.  We intend to integrate this functionality directly into the \code{PartType} dataframe, allowing the user to simply call \code{PartType.visualize()} and be presented with a default density projection of the SPH particles currently in the dataframe, similar to the \code{.plot()} functionality of a standard \code{pandas.DataFrame}.  In the longer term, the \code{dask} \code{dask}\footnote{\code{http://dask.pydata.org}}  project presents an intriguing option for handling very large out-of-core datasets through the use of blocked algorithms and task scheduling. \code{Dask} manages this by mapping high-level \code{numpy}, \code{pandas}, and list operations on large datasets to many operations on smaller chunked datasets that can fit in memory.   Future releases of \code{gadfly} may migrate the data structure on which the \code{PartType} dataframe is built from the \code{pandas.DataFrame} to \code{dask.dataframe} to take advantage of this functionality.