preprint · arXiv (Cornell University) · 2015
Python bindings for libcloudph++
Dorota Jarecka, Sylwester Arabas, Davide Del Vento
Cited by 1Open access
Abstract
This technical note introduces the Python bindings for libcloudph++. The libcloudph++ is a C++ library of algorithms for representing atmospheric cloud microphysics in numerical models. The bindings expose the complete functionality of the library to the Python users. The bindings are implemented using the Boost.Python C++ library and use NumPy arrays. This note includes listings with Python scripts exemplifying the use of selected library components. An example solution for using the Python bindings to access libcloudph++ from Fortran is presented.
Cite this paper
Jarecka, D., Arabas, S., & Del Vento, D. (2015). Python bindings for libcloudph++. arXiv (Cornell University). https://doi.org/10.48550/arxiv.1504.01161
Jarecka, Dorota, et al. “Python bindings for libcloudph++.” arXiv (Cornell University), 2015, https://doi.org/10.48550/arxiv.1504.01161.
Jarecka, Dorota, Sylwester Arabas, and Davide Del Vento. 2015. “Python bindings for libcloudph++.” arXiv (Cornell University). https://doi.org/10.48550/arxiv.1504.01161.
Jarecka, D., Arabas, S. and Del Vento, D. (2015) ‘Python bindings for libcloudph++’, arXiv (Cornell University). Available at: https://doi.org/10.48550/arxiv.1504.01161.
@misc{jarecka2015python,
title = {{Python bindings for libcloudph++}},
author = {Jarecka, Dorota and Arabas, Sylwester and Del Vento, Davide},
journal = {arXiv (Cornell University)},
year = {2015},
doi = {10.48550/arxiv.1504.01161}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.
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