deletions | additions       diff --git a/Framework.tex b/Framework.tex  index fd1ec7f..4c4a924 100644  --- a/Framework.tex  +++ b/Framework.tex 
...
\section{A Framework built on pandas}  \label{framework}  There are several motivations for building an analysis framework around the \code{pandas DataFrame}.  The guiding principle underlying the design of this framework is to enable exploratory investigation.  This requires both intelligent memory management for handling out-of-core datasets, and a robust indexing system to ensure that particle properties do not become misaligned in memory. There are several motivations for building an analysis framework around Using  the \code{pandas.DataFrame}.   Most important, \code{pandas DataFrame} as the primary data container rather than separate \code{numpy} arrays makes it much easier to keep different particle properties indexed correctly while still affording the flexibility to load and remove data from memory at will.  In addition,  \code{pandas} itself is a thoroughly documented, open-source, BSD-licensed library providing high-performance, easy-to-use data structures and analysis tools, and has a strong community of developers working to improve it. Secondly, More broadly,  as \code{pandas} is becoming the de-facto standard for data analysis in python, doing so simplifies interoperability with the rest of the tools provided by the broader scientific python ecosystem.Finally, using \code{pandas.DataFrame} as the primary data container rather than \code{numpy} arrays makes it much easier to keep different particle properties indexed correctly while still affording the flexibility to load and remove data from memory at will.