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How to Do the Same Thing Over and Over Again and Yield Different Results
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pyohio
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pyohio_2024
--room cattleya_24 15435 --force
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Marks
Author(s):
Jessica Garson
Location
Cattleya
Date
jul Sat 27
Days Raw Files
Start
14:15
First Raw Start
13:43
Duration
00:30:00
Offset
0:31:13
End
14:45
Last Raw End
14:54
Chapters
00:00
Total cuts_time
28 min.
https://www.pyohio.org/2024/program/talks/how-to-do-the-same-thing-over-and-over-again-and-yield-different
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When I started working with Elasticsearch, the data in my index quickly needed to be updated. I built a solution using Cloud Functions and Cloud Scheduler in GCP to update my data automatically, a paradigm I've used for creative projects. This talk will outline strategies for automating routine processes while ensuring that the outcomes adapt to changing requirements, enhancing project innovation and data accuracy.
Comment:
production notes
2024-07-27/13_43_47.ts
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13:43:47 - 14:13:46 ( 00:29:59 )
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13:43:47
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Duration
00:29:59
14:13:46
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14:13:47 - 14:14:50 ( 00:01:03 )
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vlc ~/Videos/veyepar/pyohio/pyohio_2024/dv/cattleya_24/2024-07-27/14_13_47.ts :start-time=00.0 --audio-desync=0
Raw File
Cut List
14:13:47
seconds: 0.0
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Duration
00:30:00
14:43:47
seconds: 63.0
Wall: 14:14:50
Comments:
mp4
mp4.m3u
dv.m3u
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2024-07-27/14_13_47.ts
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14:14:50 - 14:42:56 ( 00:28:06 )
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Cut List
14:13:47
seconds: 63.0
Wall: 14:14:50
Duration
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14:43:47
seconds: 1749.0
Wall: 14:42:56
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mp4
mp4.m3u
dv.m3u
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14:42:56 - 14:43:47 ( 00:00:51 )
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Cut List
14:13:47
seconds: 1749.0
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Comments:
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Raw File
Cut List
14:43:47
seconds: 0.0
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Duration
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dv.m3u
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2024-07-27/13_43_47.ts
2024-07-27/14_13_47.ts
2024-07-27/14_43_47.ts
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