### Install QMCPy with pip Source: https://qmcsoftware.github.io/QMCSoftware Install the QMCPy package from PyPI. For installation from source, refer to the contributing guidelines. ```bash pip install qmcpy ``` -------------------------------- ### Cite QMCPy software Source: https://qmcsoftware.github.io/QMCSoftware Citation for the QMCPy software itself, available as BibTeX. Use this when citing the software in academic work. ```text Sou-Cheng T. Choi, Fred J. Hickernell, Aadit Jain, Jagadeeswaran Rathinavel, Pieterjan Robbe, and Aleksei G. Sorokin, QMCPy: A Quasi-Monte Carlo Python Library. 2026. https://qmcsoftware.github.io/QMCSoftware/ ``` -------------------------------- ### Cite QMCPy JOSS paper Source: https://qmcsoftware.github.io/QMCSoftware Citation for the QMCPy JOSS paper, available as BibTeX. Use this when citing the software in academic work. ```text Aleksei G. Sorokin, Fred J. Hickernell, Sou-Cheng T. Choi, Jagadeeswaran Rathinavel, Pieterjan Robbe, and Aadit Jain, QMCPy: A Python Framework for (Quasi-)Monte Carlo Algorithms. Journal of Open Source Software, 11(117), 9705, 2026. https://doi.org/10.21105/joss.09705 ``` === COMPLETE CONTENT === This response contains all available snippets from this library. No additional content exists. Do not make further requests.