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Wildfires!
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pyohio
--show
pyohio_2025
--room cnt1 15550 --force
Next: 10 A Bug's Life
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Marks
Author(s):
Lazouich Ford
Location
Ballroom C
Date
jul Sat 26
Days Raw Files
Start
14:15
First Raw Start
13:57
Duration
00:30:00
Offset
0:17:59
End
14:45
Last Raw End
14:57
Chapters
00:00
0:00:02
0:18:19
Total cuts_time
29 min.
https://www.pyohio.org/2025/program/talks/wildfires
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Wildfires have become more frequent nationwide, causing chaos not only within fire zones but also affecting communities far away through smoke and poor air quality. In this talk, we'll explore the world of wildfires, understanding common terminology and clearing up misconceptions. We will explore data sources, potential file formats, and essential data fields using fire perimeter data. By leveraging Python and Geopandas we will clean a dataset, analyze the cleaned dataset, and finally create compelling visualizations of our wildfire data.
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production notes
2025-07-26/13_57_01.ts
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14:27:01
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2025-07-26/13_57_01.ts
2025-07-26/14_27_01.ts
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