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Name: Py-ART: Python for remote sensing science
--client enthought --show scipy_2012 --room Ballroom_CDE 1224 --force
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Author(s):	Scott Collis
Location	Ballroom (CDE)
Date	jul Thu 19	Days Raw Files
Start	17:20	First Raw Start	17:12
Duration	20:00	Offset	0:07:09
End	17:40	Last Raw End	17:40
Chapters	00:00 0:16:39
Total cuts_time	17 min.

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assets release.pdf PyART_Python_for_remote_sensing_science.json
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Description:	The drive to publish often leaves scientists working with old, inflexible, poorly documented dead end software. Even operational systems can end up being a mash of legacy systems cobbled together. As the Atmospheric Radiation Measurement (ARM) Climate Facility brings its 30+ cloud and precipitation sensitive radars into operation a concerted effort to modernize, modularize and adapt existing code and write new code to retrieve geophysical parameters from the remotely sensed signals. Due to the open nature, active development community and lack of licensing issues Python is a natural development environment choice. This presentation will outline the challenges involved in retrieving model comparable geophysical parameters from scanning weather radars, introduce the framework behind the Python ARM Radar Toolkit (Py-ART) and discuss the challenges involved in building high performance code while maintaining portability, readability and ease of use. markdown
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