Hi
user
Admin Login:
Username:
Password:
Name:
Python for Data Analysis
--client
psf
--show
pycon2013
--room MissionCityM2 2027 --force
Next: 11 IPython in-depth: high-productivity interactive and parallel python
show more...
Marks
Author(s):
Travis Oliphant, Peter Wang, Benjamin Zaitlen
Location
Mission City M2
Date
mar Thu 14
Days Raw Files
Start
09:00
First Raw Start
08:52
Duration
03:20:00
Offset
0:07:50
End
12:20
Last Raw End
13:03
Chapters
00:00
1:34:00
2:57:29
Total cuts_time
179 min.
https://us.pycon.org/2013/schedule/presentation/26/
raw-playlist
raw-mp4-playlist
encoded-files-playlist
host
archive
public
tweet
mp4
svg
png
assets
release.pdf
Python_for_Data_Analysis.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
Python has long played a role in analyzing large scale data. From tightly-knit super-computers running MPI-based applications to heterogeneous clusters woven together with scripts, Python has had a role to play in making it easier to processes data. This tutorial will cover the tried and true techniques as well as introduce new trends.
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="pycon2013" /><ns0:category scheme="http://gdata.youtube.com/schemas/2007/keywords.cat" term="tutorial" /><ns0:category scheme="http://gdata.youtube.com/schemas/2007/keywords.cat" term="TravisOliphant" /><ns0:category scheme="http://gdata.youtube.com/schemas/2007/keywords.cat" term="PeterWang" /><ns0:category scheme="http://gdata.youtube.com/schemas/2007/keywords.cat" term="BenjaminZaitlen" /><ns0:id>http://gdata.youtube.com/feeds/api/videos/YAFyzUsZGvc</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">Travis Oliphant, Peter Wang, Benjamin Zaitlen Python has long played a role in analyzing large scale data. From tightly-knit super-computers running MPI-based applications to heterogeneous clusters woven together with scripts, Python has had a role</ns0:content><ns0:updated>2013-03-31T04:22:28.000Z</ns0:updated><ns0:published>2013-03-31T04:22:28.000Z</ns0:published><ns1:comments><ns1:feedLink countHint="0" href="https://gdata.youtube.com/feeds/api/videos/YAFyzUsZGvc/comments?client=NextDayVideo" rel="http://gdata.youtube.com/schemas/2007#comments" /></ns1:comments><ns2:group><ns2:keywords>psf, pycon2013, tutorial, TravisOliphant, PeterWang, BenjaminZaitlen</ns2:keywords><ns2:description type="plain">Travis Oliphant, Peter Wang, Benjamin Zaitlen Python has long played a role in analyzing large scale data. From tightly-knit super-computers running MPI-based applications to heterogeneous clusters woven together with scripts, Python has had a role</ns2:description><ns2:title type="plain">Python for Data Analysis</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/YAFyzUsZGvc?version=3&f=user_uploads&c=NextDayVideo&d=Aarb2r5skm2_yNTuKEinXdAO88HsQjpE1a8d1GxQnGDm&app=youtube_gdata" ns3:format="5" /><ns2:thumbnail height="360" time="00:00:00" url="http://i.ytimg.com/vi/YAFyzUsZGvc/0.jpg" width="480" /><ns2:thumbnail height="90" time="00:00:00" url="http://i.ytimg.com/vi/YAFyzUsZGvc/1.jpg" width="120" /><ns2:thumbnail height="90" time="00:00:00" url="http://i.ytimg.com/vi/YAFyzUsZGvc/2.jpg" width="120" /><ns2:thumbnail height="90" time="00:00:00" url="http://i.ytimg.com/vi/YAFyzUsZGvc/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">pycon2013</ns2:category><ns2:category scheme="http://gdata.youtube.com/schemas/2007/developertags.cat">tutorial</ns2:category><ns2:category scheme="http://gdata.youtube.com/schemas/2007/developertags.cat">TravisOliphant</ns2:category><ns2:category scheme="http://gdata.youtube.com/schemas/2007/developertags.cat">PeterWang</ns2:category><ns2:category scheme="http://gdata.youtube.com/schemas/2007/developertags.cat">BenjaminZaitlen</ns2:category><ns2:player url="https://www.youtube.com/watch?v=YAFyzUsZGvc&feature=youtube_gdata_player" /></ns2:group><ns0:title type="text">Python for Data Analysis</ns0:title><ns4:control><ns4:draft>yes</ns4:draft><ns3:state name="processing" /></ns4:control><ns0:link href="https://www.youtube.com/watch?v=YAFyzUsZGvc&feature=youtube_gdata" rel="alternate" type="text/html" /><ns0:link href="https://gdata.youtube.com/feeds/api/videos/YAFyzUsZGvc/responses?client=NextDayVideo" rel="http://gdata.youtube.com/schemas/2007#video.responses" type="application/atom+xml" /><ns0:link href="https://gdata.youtube.com/feeds/api/videos/YAFyzUsZGvc/ratings?client=NextDayVideo" rel="http://gdata.youtube.com/schemas/2007#video.ratings" type="application/atom+xml" /><ns0:link href="https://gdata.youtube.com/feeds/api/videos/YAFyzUsZGvc/complaints?client=NextDayVideo" rel="http://gdata.youtube.com/schemas/2007#video.complaints" type="application/atom+xml" /><ns0:link href="https://gdata.youtube.com/feeds/api/videos/YAFyzUsZGvc/related?client=NextDayVideo" 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/YAFyzUsZGvc?client=NextDayVideo" rel="self" type="application/atom+xml" /><ns0:link href="https://gdata.youtube.com/feeds/api/users/nextdayvideo/uploads/YAFyzUsZGvc?client=NextDayVideo" rel="edit" type="application/atom+xml" /></ns0:entry>
2013-03-14/08:52:10.dv
Apply:
08:52:10 - 09:01:25 ( 00:09:15 )
S:
08:52:10 -
E:
09:01:25
D:
00:09:15
show more...
vlc ~/Videos/veyepar/psf/pycon2013/dv/MissionCityM2/2013-03-14/08:52:10.dv :start-time=00.0 --audio-desync=0
Raw File
Cut List
08:52:10
seconds: 0.0
Wall: 08:52:10
Duration
00:09:15
09:01:25
seconds: 0.0
Wall: 08:52:10
Comments:
mp4
mp4.m3u
dv.m3u
Split:
Sequence:
:
delete
2013-03-14/09:01:26.dv
Apply:
09:01:26 - 10:35:26 ( 01:34:00 )
S:
09:01:26 -
E:
10:35:56
D:
01:34:30
(
End:
01:34:00)
show more...
vlc ~/Videos/veyepar/psf/pycon2013/dv/MissionCityM2/2013-03-14/09:01:26.dv :start-time=00.0 --audio-desync=0
Raw File
Cut List
09:01:26
seconds: 0.0
Wall: 09:01:26
Duration
01:34:30
10:35:56
seconds: 5640.0
Wall: 10:35:26
Comments:
mp4
mp4.m3u
dv.m3u
Split:
Sequence:
:
delete
2013-03-14/10:35:56.dv
Apply:
10:35:56 - 10:56:30 ( 00:20:34 )
S:
10:35:56 -
E:
10:56:30
D:
00:20:34
show more...
vlc ~/Videos/veyepar/psf/pycon2013/dv/MissionCityM2/2013-03-14/10:35:56.dv :start-time=00.0 --audio-desync=0
Raw File
Cut List
10:35:56
seconds: 0.0
Wall: 10:35:56
Duration
00:20:34
10:56:30
seconds: 0.0
Wall: 10:35:56
Comments:
mp4
mp4.m3u
dv.m3u
Split:
Sequence:
:
delete
2013-03-14/10:56:30.dv
Apply:
10:56:30 - 12:19:59 ( 01:23:29 )
S:
10:56:30 -
E:
12:19:59
D:
01:23:29
show more...
vlc ~/Videos/veyepar/psf/pycon2013/dv/MissionCityM2/2013-03-14/10:56:30.dv :start-time=00.0 --audio-desync=0
Raw File
Cut List
10:56:30
seconds: 0.0
Wall: 10:56:30
Duration
01:23:29
12:19:59
seconds: 0.0
Wall: 10:56:30
Comments:
mp4
mp4.m3u
dv.m3u
Split:
Sequence:
:
delete
2013-03-14/12:20:00.dv
Apply:
12:20:00 - 12:21:45 ( 00:01:45 )
S:
12:20:00 -
E:
12:21:45
D:
00:01:45
show more...
12:20 questions
vlc ~/Videos/veyepar/psf/pycon2013/dv/MissionCityM2/2013-03-14/12:20:00.dv :start-time=00.0 --audio-desync=0
Raw File
Cut List
12:20:00
seconds: 0.0
Wall: 12:20:00
Duration
00:01:45
12:21:45
seconds: 0.0
Wall: 12:20:00
Comments:
12:20 questions
mp4
mp4.m3u
dv.m3u
Split:
Sequence:
:
delete
2013-03-14/12:21:45.dv
Apply:
12:21:45 - 12:22:16 ( 00:00:31 )
S:
12:21:45 -
E:
12:22:16
D:
00:00:31
show more...
vlc ~/Videos/veyepar/psf/pycon2013/dv/MissionCityM2/2013-03-14/12:21:45.dv :start-time=00.0 --audio-desync=0
Raw File
Cut List
12:21:45
seconds: 0.0
Wall: 12:21:45
Duration
00:00:31
12:22:16
seconds: 0.0
Wall: 12:21:45
Comments:
mp4
mp4.m3u
dv.m3u
Split:
Sequence:
:
delete
2013-03-14/12:22:20.dv
Apply:
12:22:20 - 13:03:12 ( 00:40:52 )
S:
12:22:20 -
E:
13:03:12
D:
00:40:52
show more...
vlc ~/Videos/veyepar/psf/pycon2013/dv/MissionCityM2/2013-03-14/12:22:20.dv :start-time=00.0 --audio-desync=0
Raw File
Cut List
12:22:20
seconds: 0.0
Wall: 12:22:20
Duration
00:40:52
13:03:12
seconds: 0.0
Wall: 12:22:20
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
(2:57:29) 12:20 questions
2013-03-14/08:52:10.dv
2013-03-14/09:01:26.dv
2013-03-14/10:35:56.dv
2013-03-14/10:56:30.dv
2013-03-14/12:20:00.dv
2013-03-14/12:21:45.dv
2013-03-14/12:22:20.dv
Veyepar
Video Eyeball Processor and Review
