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Building a data processing pipeline in Python
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pygotham_2015
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Marks
Author(s):
Joe Cabrera
Location
Room 704
Date
aug Sat 15
Days Raw Files
Start
13:15
First Raw Start
13:14
Duration
00:25:00
Offset
0:00:26
End
13:40
Last Raw End
13:46
Chapters
00:00
Total cuts_time
24 min.
https://pygotham.org/2015/talks/202/building-a-data-processing-pipeline-in-python
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Recently, the growth of publicly available data has been enormous. Python has a number of libraries and tool to aid you in building your data processing pipeline. These tools include Celery, Requests, BeautifulSoup and SQL-Alchemy. When combined together you can build an efficient and scalable data processing pipeline.
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2015-08-14/23_44_34.dv
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13:14:34 - 13:15:39 ( 00:01:05 )
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2015-08-14/23_45_40.dv
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2015-08-15/00_09_48.dv
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