Funding And The Team
The Team
Funding and Acknowledgments
PyTurbo_SF Development Support:
This software package is based upon work supported by the US Department of Energy grant DE-SC0024572.
Any opinions, findings, and conclusions or recommendations expressed in this package are those of the authors and do not necessarily reflect the views of the US Department of Energy.
Community Contributions:
PyTurbo_SF benefits from the broader scientific computing ecosystem, particularly:
NumPy/SciPy: Fundamental numerical computing capabilities
xarray: Labeled multi-dimensional array handling
joblib: Parallel computing infrastructure
pytest: Testing framework
Sphinx: Documentation generation