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Running in the USA: Analysis of World-Wide GPS Tracks in Running Events
--client
pytexas
--show
pytexas2014
--room MSC_2300_A 8739 --force
Next: 1 Python on the Brain: A Quick Dive into NuPIC
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Marks
Author(s):
Kyler Eastman
Location
MSC 2300 A
Date
oct Sun 05
Days Raw Files
Start
14:00
First Raw Start
13:59
Duration
00:25:00
Offset
0:00:11
End
14:25
Last Raw End
14:29
Chapters
00:00
0:00:06
0:08:38
Total cuts_time
29 min.
http://www.pytexas.org/2014/talks/32/
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MapMyFitness is an open fitness tracking platform that collects hundreds of thousands of tracks every day from GPS fitness devices around the planet. Within this massive database of fitness activity lies untold insights into human behavior. In this talk, I'll show how I use Python-based analysis tools for identifying running events, from 5ks to marathons). Using a combination of Amazon Redshift SQL, scipy, matplotlib & pandas, I'll show how you can glean a variety of insight into running event performance, from weather and training effects on speed, to regional & demographic differences in attendance.
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