Author(s):	Grant Paton-Simpson
Location	Conference 2
Date	sep Sat 10	Days Raw Files
Start	15:10	First Raw Start	error-in-template
Duration	40:00	Offset	None
End	15:50	Last Raw End
Chapters
Total cuts_time	None min.

https://kiwi.pycon.org/schedule/presentation/121/
raw-playlist raw-mp4-playlist encoded-files-playlist mp4 svg png

assets release.pdf Practical_Python_Async_for_Dummies_2.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
Locked by:	user/process that locked.
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)
Released:	Unknown Yes No has someone authorised pubication
Normalise:
Channelcopy:	m=mono, 01=copy left to right, 10=right to left, 00=ignore.
Thumbnail:	filename.png
Description:	What's the point of faster computers if our code spends most of its time waiting for slower processes to complete. Shouldn't we be using asynchronous code to make lots of things happen simultaneously? Probably, but isn't that really tricky to do? The goal of this talk is to work through some very simple snippets of Python code that make common tasks much, much faster with minimal fuss. markdown
Comment:	production notes