sympy

SymPy is a Python library for symbolic mathematics. It aims to become a full-featured computer algebra system (CAS) while keeping the code as simple as possible in order to be comprehensible and easily extensible. SymPy is written entirely in Python and does not require any external libraries.

Policy

sympy is available to users at HPC2N.

Citations

To cite SymPy in publications use

Meurer A, Smith CP, Paprocki M, Čertík O, Kirpichev SB, Rocklin M, Kumar A,
Ivanov S, Moore JK, Singh S, Rathnayake T, Vig S, Granger BE, Muller RP,
Bonazzi F, Gupta H, Vats S, Johansson F, Pedregosa F, Curry MJ, Terrel AR,
Roučka Š, Saboo A, Fernando I, Kulal S, Cimrman R, Scopatz A. (2017) SymPy:
symbolic computing in Python. PeerJ Computer Science 3:e103
https://doi.org/10.7717/peerj-cs.103

Overview

SymPy is…

  • Free: Licensed under BSD, SymPy is free both as in speech and as in beer.
  • Python-based: SymPy is written entirely in Python and uses Python for its language.
  • Lightweight: SymPy only depends on mpmath, a pure Python library for arbitrary floating point arithmetic, making it easy to use.
  • A library: Beyond use as an interactive tool, SymPy can be embedded in other applications and extended with custom functions.

See this page for info on features!

Usage at HPC2N

On HPC2N we have sympy available as a module.

Loading

To use the sympy module, add it to your environment. You can find versions with 

module spider sympy

and you can then find how to load a specific version (including prerequisites), with 

module spider sympy/<VERSION>

Running

You can find information about how to use sympy on the sympy documentation page

Additional info

More information can be found on