Data Flow of a Multiple Instrument On-Demand Processing Engine with Python and DPLKIT

Data Flow of a Multiple Instrument On-Demand Processing Engine with Python and DPLKIT

The University of Wisconsin LIDAR Group’s High Spectral Resolution LIDAR on-demand data website and processing codebase uses Python to explore coding techniques which facilitate a flexible codebase that is reusable for various outputs, cooperative multi-instrument products, and retains stability and...

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Bibliographic Details
Main Authors: Garcia Joseph P., Eloranta Edwin, Garcia Raymond K.
Format: Article
Language:English
Published: EDP Sciences 2016-01-01
Series:EPJ Web of Conferences
Online Access:http://dx.doi.org/10.1051/epjconf/201611925003
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spelling doaj-8b1f7f71fc5a40e090b05163e2dd90182021-08-02T09:19:50ZengEDP SciencesEPJ Web of Conferences2100-014X2016-01-011192500310.1051/epjconf/201611925003epjconf_ilrc2016_25003Data Flow of a Multiple Instrument On-Demand Processing Engine with Python and DPLKITGarcia Joseph P.0Eloranta Edwin1Garcia Raymond K.2The University of Wisconsin – MadisonThe University of Wisconsin – MadisonThe University of Wisconsin – MadisonThe University of Wisconsin LIDAR Group’s High Spectral Resolution LIDAR on-demand data website and processing codebase uses Python to explore coding techniques which facilitate a flexible codebase that is reusable for various outputs, cooperative multi-instrument products, and retains stability and maintainability without hindering dynamic experimentation.http://dx.doi.org/10.1051/epjconf/201611925003
collection DOAJ
language English
format Article
sources DOAJ
author Garcia Joseph P.
Eloranta Edwin
Garcia Raymond K.
spellingShingle Garcia Joseph P.
Eloranta Edwin
Garcia Raymond K.
Data Flow of a Multiple Instrument On-Demand Processing Engine with Python and DPLKIT
EPJ Web of Conferences
author_facet Garcia Joseph P.
Eloranta Edwin
Garcia Raymond K.
author_sort Garcia Joseph P.
title Data Flow of a Multiple Instrument On-Demand Processing Engine with Python and DPLKIT
title_short Data Flow of a Multiple Instrument On-Demand Processing Engine with Python and DPLKIT
title_full Data Flow of a Multiple Instrument On-Demand Processing Engine with Python and DPLKIT
title_fullStr Data Flow of a Multiple Instrument On-Demand Processing Engine with Python and DPLKIT
title_full_unstemmed Data Flow of a Multiple Instrument On-Demand Processing Engine with Python and DPLKIT
title_sort data flow of a multiple instrument on-demand processing engine with python and dplkit
publisher EDP Sciences
series EPJ Web of Conferences
issn 2100-014X
publishDate 2016-01-01
description The University of Wisconsin LIDAR Group’s High Spectral Resolution LIDAR on-demand data website and processing codebase uses Python to explore coding techniques which facilitate a flexible codebase that is reusable for various outputs, cooperative multi-instrument products, and retains stability and maintainability without hindering dynamic experimentation.
url http://dx.doi.org/10.1051/epjconf/201611925003
work_keys_str_mv AT garciajosephp dataflowofamultipleinstrumentondemandprocessingenginewithpythonanddplkit
AT elorantaedwin dataflowofamultipleinstrumentondemandprocessingenginewithpythonanddplkit
AT garciaraymondk dataflowofamultipleinstrumentondemandprocessingenginewithpythonanddplkit
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