paper.tex

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\externaldocument[S-]{supplement}

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\title{SymPy: symbolic computing in Python}

\input{authors}

% \keywords{Python, computer algebra system, symbolics}

\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 a popular symbolic library for the scientific Python
  ecosystem. This paper presents the architecture of SymPy, a description of
  its features, and a discussion of select submodules. The
  supplementary material provide additional examples and further outline
  details of the architecture and features of SymPy.
\end{abstract}

\begin{document}

\flushbottom
\maketitle
\thispagestyle{empty}

\section{Introduction}

%% What sympy is, where to download etc.
%%
%% List other major CAS's.
%%
%% Why SymPy.

\input{introduction.tex}

\section{Overview of Capabilities}
\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.
%%
%% See also the supplement (below)

\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{Physics Submodule}
\label{sec:domain_specific}

\input{domain_specific}

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

\input{architecture}

\section{Projects that Depend on SymPy}
\label{sec:other-proj}
\input{projects_that_depend_on_sympy}

\section{Conclusion and Future Work}
\label{sec:conclusion}

\input{conclusion_and_future_work}

\phantomsection
\bibliography{paper}

\end{document}