# Symbolic Statistics with SymPy

@article{Rocklin2012SymbolicSW, title={Symbolic Statistics with SymPy}, author={Matthew Rocklin and Andy R. Terrel}, journal={Computing in Science \& Engineering}, year={2012}, volume={14}, pages={88-93} }

Replacing symbols with random variables makes it possible to naturally add statistical operations to complex physical models. Three examples of symbolic statistical modeling are considered here, using new features from the popular SymPy project.

## 5 Citations

### Uncertainty Modeling with SymPy Stats

- Computer Science
- 2012

A random variable type is added to a mathematical modeling language to introduce uncertainty and produce and query stochastic models and motivates the use of symbolics and thin compilers in scientific computing.

### SymPy: Symbolic computing in Python

- Computer SciencePeerJ Prepr.
- 2016

The architecture of SymPy is presented, a description of its features, and a discussion of select domain specific submodules are discussed, to become the standard symbolic library for the scientific Python ecosystem.

### PythonTeX: Fast Access to Python from within LaTeX

- Computer Science
- 2012

PythonTeX is a new LaTeX package that provides access to the full power of Python from within LaTeX documents. It allows Python code entered within a LaTeX document to be executed, and provides…

### Real-Time Swimmer Tracking on Sparse Camera Array

- Computer ScienceICPRAM
- 2016

A real-time algorithm is presented, with the following capabilities: performing the planar projection of the image, fading the background to protect the intimacy of other swimmers, framing the swimmer at a specific swimming lane, and eliminating the redundant video stream from idle cameras.

### Application of He's homotopy and perturbation method to solve heat transfer equations: A python approach

- PhysicsAdv. Eng. Softw.
- 2022

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