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Automate Your City Data with Python
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nbpy23
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Marks
Author(s):
Philip James
Location
Reis River Ranch
Date
jul Sun 30
Days Raw Files
Start
10:30
First Raw Start
10:00
Duration
00:25:00
Offset
0:29:30
End
10:55
Last Raw End
11:00
Chapters
00:00
Total cuts_time
23 min.
https://pretalx.northbaypython.org/nbpy-2023/talk/UHRNVE
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Every week, in every city, hundreds if not thousands of decisions, big and small, are being made about the places where we all live. Most of the time, these decisions are hidden behind old systems, arcane websites, or poorly formatted PDFs. With the power of Datasette, Python data tooling, and Github actions, you can quickly set up a low-or-no-cost city data pipeline, and help us all better understand the decisions being made where we live.
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2023-07-30/10_00_30.ts
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