Hi
user
Admin Login:
Username:
Password:
Name:
Graph Processing in Python
--client
psf
--show
pycon_2012
--room E4 699 --force
Next: 6 How to make your websites more accessible
show more...
Marks
Author(s):
Van Lindberg
Location
Track V (E4)
Date
mar Fri 09
Days Raw Files
Start
10:50
First Raw Start
10:52
Duration
00:40:00
Offset
0:02:51
End
11:30
Last Raw End
11:36
Chapters
00:00
Total cuts_time
29 min.
http://us.pycon.org/2012/schedule/presentation/225/
raw-playlist
raw-mp4-playlist
encoded-files-playlist
host
public
mp4
svg
png
assets
release.pdf
Graph_Processing_in_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
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:
has someone authorised pubication
Unknown
Yes
No
Normalise:
Channelcopy:
m=mono, 01=copy left to right, 10=right to left, 00=ignore.
Thumbnail:
filename.png
Description:
markdown
Graphs are everywhere - from your distributed source code control to Twitter analytics. This session presents a set of three problems and shows how they can be decomposed into operations on graphs, and then demonstrates solutions using the various graph libraries available for (or accessible to) Python.
Comment:
production notes
<?xml version='1.0' encoding='UTF-8'?> <ns0:entry xmlns:ns0="http://www.w3.org/2005/Atom" xmlns:ns1="http://schemas.google.com/g/2005" xmlns:ns2="http://search.yahoo.com/mrss/" xmlns:ns3="http://gdata.youtube.com/schemas/2007" xmlns:ns4="http://purl.org/atom/app#"><ns0:category scheme="http://schemas.google.com/g/2005#kind" term="http://gdata.youtube.com/schemas/2007#video" /><ns0:category label="Education" scheme="http://gdata.youtube.com/schemas/2007/categories.cat" term="Education" /><ns0:category scheme="http://gdata.youtube.com/schemas/2007/keywords.cat" term="psf" /><ns0:category scheme="http://gdata.youtube.com/schemas/2007/keywords.cat" term="python pycon pycon2012" /><ns0:category scheme="http://gdata.youtube.com/schemas/2007/keywords.cat" term="pycon_2012" /><ns0:category scheme="http://gdata.youtube.com/schemas/2007/keywords.cat" term="VanLindberg" /><ns0:id>http://gdata.youtube.com/feeds/api/videos/Mv3xgBQJPaE</ns0:id><ns0:author><ns0:name>NextDayVideo</ns0:name><ns0:uri>https://gdata.youtube.com/feeds/api/users/NextDayVideo</ns0:uri></ns0:author><ns0:content type="text">Van Lindberg Graphs are everywhere - from your distributed source code control to Twitter analytics. This session presents a set of three problems and shows how they can be decomposed into operations on graphs, and then demonstrates solutions using t</ns0:content><ns0:updated>2012-03-11T03:52:03.000Z</ns0:updated><ns0:published>2012-03-11T03:52:03.000Z</ns0:published><ns1:comments><ns1:feedLink countHint="0" href="https://gdata.youtube.com/feeds/api/videos/Mv3xgBQJPaE/comments?client=ndv" rel="http://gdata.youtube.com/schemas/2007#comments" /></ns1:comments><ns2:group><ns2:keywords>psf, python pycon pycon2012, pycon_2012, VanLindberg</ns2:keywords><ns2:description type="plain">Van Lindberg Graphs are everywhere - from your distributed source code control to Twitter analytics. This session presents a set of three problems and shows how they can be decomposed into operations on graphs, and then demonstrates solutions using t</ns2:description><ns2:title type="plain">Graph Processing in Python</ns2:title><ns3:duration seconds="0" /><ns2:content duration="0" expression="full" isDefault="true" medium="video" type="application/x-shockwave-flash" url="https://www.youtube.com/v/Mv3xgBQJPaE?version=3&f=user_uploads&c=ndv&d=Aarb2r5skm2_yNTuKEinXdAO88HsQjpE1a8d1GxQnGDm&app=youtube_gdata" ns3:format="5" /><ns2:thumbnail height="360" time="00:00:00" url="http://i.ytimg.com/vi/Mv3xgBQJPaE/0.jpg" width="480" /><ns2:thumbnail height="90" time="00:00:00" url="http://i.ytimg.com/vi/Mv3xgBQJPaE/1.jpg" width="120" /><ns2:thumbnail height="90" time="00:00:00" url="http://i.ytimg.com/vi/Mv3xgBQJPaE/2.jpg" width="120" /><ns2:thumbnail height="90" time="00:00:00" url="http://i.ytimg.com/vi/Mv3xgBQJPaE/3.jpg" width="120" /><ns2:category label="Education" scheme="http://gdata.youtube.com/schemas/2007/categories.cat">Education</ns2:category><ns2:category scheme="http://gdata.youtube.com/schemas/2007/developertags.cat">psf</ns2:category><ns2:category scheme="http://gdata.youtube.com/schemas/2007/developertags.cat">python pycon pycon2012</ns2:category><ns2:category scheme="http://gdata.youtube.com/schemas/2007/developertags.cat">pycon_2012</ns2:category><ns2:category scheme="http://gdata.youtube.com/schemas/2007/developertags.cat">VanLindberg</ns2:category><ns2:player url="https://www.youtube.com/watch?v=Mv3xgBQJPaE&feature=youtube_gdata_player" /></ns2:group><ns0:title type="text">Graph Processing in Python</ns0:title><ns4:control><ns4:draft>yes</ns4:draft><ns3:state name="processing" /></ns4:control><ns0:link href="https://www.youtube.com/watch?v=Mv3xgBQJPaE&feature=youtube_gdata" rel="alternate" type="text/html" /><ns0:link href="https://gdata.youtube.com/feeds/api/videos/Mv3xgBQJPaE/responses?client=ndv" rel="http://gdata.youtube.com/schemas/2007#video.responses" type="application/atom+xml" /><ns0:link href="https://gdata.youtube.com/feeds/api/videos/Mv3xgBQJPaE/ratings?client=ndv" rel="http://gdata.youtube.com/schemas/2007#video.ratings" type="application/atom+xml" /><ns0:link href="https://gdata.youtube.com/feeds/api/videos/Mv3xgBQJPaE/complaints?client=ndv" rel="http://gdata.youtube.com/schemas/2007#video.complaints" type="application/atom+xml" /><ns0:link href="https://gdata.youtube.com/feeds/api/videos/Mv3xgBQJPaE/related?client=ndv" rel="http://gdata.youtube.com/schemas/2007#video.related" type="application/atom+xml" /><ns0:link href="https://gdata.youtube.com/feeds/api/users/nextdayvideo/uploads/Mv3xgBQJPaE?client=ndv" rel="self" type="application/atom+xml" /><ns0:link href="https://gdata.youtube.com/feeds/api/users/nextdayvideo/uploads/Mv3xgBQJPaE?client=ndv" rel="edit" type="application/atom+xml" /></ns0:entry>
2012-03-09/10:52:51.dv
Apply:
10:52:51 - 10:52:51 ( 00:00:00 )
S:
10:52:51 -
E:
10:52:51
D:
00:00:00
show more...
vlc ~/Videos/veyepar/psf/pycon_2012/dv/E4/2012-03-09/10:52:51.dv :start-time=00.0 --audio-desync=0
Raw File
Cut List
10:52:51
seconds: 0.0
Wall: 10:52:51
Duration
00:00:00
10:52:51
seconds: 0.0
Wall: 10:52:51
Comments:
mp4
mp4.m3u
dv.m3u
Split:
Sequence:
:
delete
2012-03-09/10:52:53.dv
Apply:
10:52:53 - 10:54:57 ( 00:02:04 )
S:
10:52:53 -
E:
10:54:57
D:
00:02:04
show more...
vlc ~/Videos/veyepar/psf/pycon_2012/dv/E4/2012-03-09/10:52:53.dv :start-time=00.0 --audio-desync=0
Raw File
Cut List
10:52:53
seconds: 0.0
Wall: 10:52:53
Duration
00:02:04
10:54:57
seconds: 0.0
Wall: 10:52:53
Comments:
mp4
mp4.m3u
dv.m3u
Split:
Sequence:
:
delete
2012-03-09/10:54:57.dv
Apply:
10:56:04 - 11:25:57 ( 00:29:53 )
S:
10:54:57 -
E:
11:25:57
D:
00:31:00
(
Start:
1:07)
show more...
vlc ~/Videos/veyepar/psf/pycon_2012/dv/E4/2012-03-09/10:54:57.dv :start-time=067.0 --audio-desync=0
Raw File
Cut List
10:54:57
seconds: 67.0
Wall: 10:56:04
Duration
00:31:00
11:25:57
seconds: 0.0
Wall: 10:54:57
Comments:
mp4
mp4.m3u
dv.m3u
Split:
Sequence:
:
delete
2012-03-09/11:25:59.dv
Apply:
11:25:59 - 11:36:00 ( 00:10:01 )
S:
11:25:59 -
E:
11:36:00
D:
00:10:01
show more...
vlc ~/Videos/veyepar/psf/pycon_2012/dv/E4/2012-03-09/11:25:59.dv :start-time=00.0 --audio-desync=0
Raw File
Cut List
11:25:59
seconds: 0.0
Wall: 11:25:59
Duration
00:10:01
11:36:00
seconds: 0.0
Wall: 11:25:59
Comments:
mp4
mp4.m3u
dv.m3u
Split:
Sequence:
:
delete
Rf filename:
root is .../show/dv/location/, example: 2013-03-13/13:13:30.dv
Sequence:
get this:
check and save to add this
2012-03-09/10:52:51.dv
2012-03-09/10:52:53.dv
2012-03-09/10:54:57.dv
2012-03-09/11:25:59.dv
Veyepar
Video Eyeball Processor and Review