home/categories/scientific-computing/jkitchin-pycse-src-pycse-skill-md
scientific-computingresearch

pycse

Python computations in science and engineering (pycse) - helps with scientific computing tasks including nonlinear regression, uncertainty quantification, design of experiments (DOE), Latin hypercube sampling, surface response modeling, and neural network-based UQ with DPOSE. Use when working with numerical optimization, data fitting, experimental design, or uncertainty analysis.

jkitchin
maintainer
jkitchin
Actualizado 3/1/2026
Estrellas
276
Forks
76
quick start

Installation and usage

Python computations in science and engineering (pycse) - helps with scientific computing tasks including nonlinear regression, uncertainty quantification, design of experiments (DOE), Latin hypercube sampling, surface response modeling, and neural network-based UQ with DPOSE. Use when working with numerical optimization, data fitting, experimental design, or uncertainty analysis.

Instalación
$ install --globalskills.sh
Uso

Después de instalarlo, puedes usar este skill ejecutando el siguiente comando en tu terminal:

skills use pycse