Symbolic statistics with SymPy

Computing in Science and Engineering

Volumn 14, Issue 3, 2012, Pages 88-93

  Rocklin, Matthew ^a   Terrel, Andy R ^b  

^a UNIVERSITY OF CHICAGO   (United States)

^b UNIVERSITY OF TEXAS AT AUSTIN   (United States)

Author keywords

Computational science; Python; scientific computing; symbolic statistical modeling; SymPy

Indexed keywords

COMPUTATIONAL SCIENCE; PHYSICAL MODEL; PYTHON; STATISTICAL MODELING; SYMPY;

MODELS; NATURAL SCIENCES COMPUTING;

STATISTICAL METHODS;

EID: 84860426671     PISSN: 15219615     EISSN: None     Source Type: Journal    
DOI: 10.1109/MCSE.2012.56     Document Type: Article

References (3)

1. D. Joyner et al., "Open Source Computer Algebra Systems: SymPy," ACM Comm. Computer Algebra, vol. 45, nos. 3/4, 2011, pp. 225-234.
2. M. Erwig and S. Kollmansberger, "Probabilistic Functional Programming in Haskell," J. Functional Programming, vol. 16, no. 1, 2006, pp. 21-34.
3. Andy R. Terrel, "From Equations to Code: Automated Scientific Computing," Computing in Science & Eng., vol. 13, no. 2, 2011, pp. 78-82.