paper.tex

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\title{SymPy: Symbolic Computing in Python}

\input{authors}

\begin{document}
\maketitle

\begin{abstract}
  SymPy is an open source computer algebra system written in pure Python. It
  is built with a focus on extensibility and ease of use, through both
  interactive and programmatic applications. These characteristics have led
  SymPy to become the standard symbolic library for the scientific Python ecosystem.
  This paper presents the
  architecture of SymPy, a description of its features, and a discussion of
  select domain specific submodules.
\end{abstract}

\section{Introduction}

%% What sympy is, where to download etc.
%%
%% List other major CASs.
%%
%% Why SymPy.

\input{introduction.tex}

\section{Architecture}
\label{sec:architecture}

\input{architecture}

\section{Features}
\label{sec:features}

%% List of Features and how to use
%%
%% Quick overview of the main modules, what it can do and so on. It should probably provide examples how to use sympy.
%%

\input{features}


\section{Numerics}
\label{sec:numerics}

%% Description of some algorithms (example: integration with Risch, Meijer G, Gruntz, polys)
%%
%% Description of numerics/mpmath (Fredrik)

\input{numerics}


\section{Domain Specific Submodules}
\label{sec:domain_specific}

\input{domain_specific}

\section{Conclusion and future work}
\label{sec:conclusion}

\input{conclusion_and_future_work}

\section{Acknowledgements}
\label{sec:acknowledgements}

\input{acknowledgements}

\section{References}

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