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Script Layering for large-scale number crunching in Python
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Next: 12 PhD not required: a layperson's guide to reading journal articles
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Author(s):
Catherine Moroney
Location
Mystic Theatre
Date
nov Sun 03
Days Raw Files
Start
11:25
First Raw Start
11:03
Duration
0:18:0
Offset
0:22:15
End
11:43
Last Raw End
12:03
Chapters
00:00
0:07:44
Total cuts_time
22 min.
https://2019.northbaypython.org/schedule/presentation/8/
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Python's combination of number-crunching and plotting prowess, combined with scripting makes it easy to submit a massive number of scientific jobs in a fully-automated fashion. I often need to run hundreds or thousands of orbits through the processing software and by dividing the duty into multiple scripts, each calling the one below, I have a customizable and automated way of finding the input files, caching them to a local disk, creating the input files, submitting each orbit to our batch-processing system and monitoring their progress so the entire chain consisting of 10-15 executables can all be run in order with a single command. Python's scripting capabilities, combined with its number-crunching utility make it very easy to gather up all the data, submit thousands of jobs and then monitor their progress, all with a single command. One script submits a single orbit, another one calls the first to run a month or year worth of data, and then a third calls the second to run the entire processing chain. Script layering!
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