Quick n Dirty

RESOURCE

Abstract

QnD is a pure Python package for working with binary files. It has built-in support for HDF5, NetCDF3, and PDB formats. It provides a Pythonic, dict-like interface, and allows easy movement among time-like "records". Both reading and writing are enabled. The HDF and NetCDF capabilities rely on external libraries, while the PDB support is part of QnD itself and entirely in Python. QnD works under Python 2 and 3. For interactive use, much less typing is involved than for some other packages.
Developers:
MUNRO, David [1] STROZZI, David [1]
  1. Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
Release Date:
2020-02-03
Project Type:
Open Source, Publicly Available Repository
Software Type:
Scientific
Version:
1.0
Licenses:
BSD 3-clause "New" or "Revised" License
Sponsoring Org.:
Code ID:
35903
Site Accession Number:
LLNL-CODE-807802
Research Org.:
Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)
Country of Origin:
United States

RESOURCE

Citation Formats

MUNRO, David H., and STROZZI, David J. Quick n Dirty. Computer Software. https://github.com/LLNL/qnd. USDOE National Nuclear Security Administration (NNSA). 03 Feb. 2020. Web. doi:10.11578/dc.20200512.1.
MUNRO, David H., & STROZZI, David J. (2020, February 03). Quick n Dirty. [Computer software]. https://github.com/LLNL/qnd. https://doi.org/10.11578/dc.20200512.1.
MUNRO, David H., and STROZZI, David J. "Quick n Dirty." Computer software. February 03, 2020. https://github.com/LLNL/qnd. https://doi.org/10.11578/dc.20200512.1.
@misc{ doecode_35903,
title = {Quick n Dirty},
author = {MUNRO, David H. and STROZZI, David J.},
abstractNote = {QnD is a pure Python package for working with binary files. It has built-in support for HDF5, NetCDF3, and PDB formats. It provides a Pythonic, dict-like interface, and allows easy movement among time-like "records". Both reading and writing are enabled. The HDF and NetCDF capabilities rely on external libraries, while the PDB support is part of QnD itself and entirely in Python. QnD works under Python 2 and 3. For interactive use, much less typing is involved than for some other packages.},
doi = {10.11578/dc.20200512.1},
url = {https://doi.org/10.11578/dc.20200512.1},
howpublished = {[Computer Software] \url{https://doi.org/10.11578/dc.20200512.1}},
year = {2020},
month = {feb}
}