Author(s):	Justin Warren
Location	Room 105
Date	aug Sun 14	Days Raw Files
Start	15:00	First Raw Start	error-in-template
Duration	0:30:00	Offset	None
End	15:30	Last Raw End
Chapters
Total cuts_time	None min.

https://2016.pycon-au.org/schedule/41/view_talk
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assets release.pdf Predicting_the_TripleJ_Hottest_100_With_Python.json
logs
Admin: episode episode list cut list raw files day marks day marks day image_files

State:	--------- borked edit encode push to queue post richard review 1 email review 2 make public tweet to-miror conf done
Locked:	clear this to unlock
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Start:	initially scheduled time from master, adjusted to match reality
Duration:	length in hh:mm:ss
Name:	Video Title (shows in video search results)
Emails:	email(s) of the presenter(s)
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Thumbnail:	filename.png
Description:	For several years now, I've used Python to help me attempt to predict the results of TripleJ's Hottest 100. LEARN! how to write scripts that use more than CPU0 on your fancy multi-core laptop! SEE! the alarming amount of information you can get through social network APIs. MARVEL! at the myriad ways Optical Character Recognition will mangle your text! markdown
Comment:	production notes