veyepar: Conducting and Visualizing Set-Theoretic Social Research with Python

Hi user

Admin Login:

Name: Conducting and Visualizing Set-Theoretic Social Research with Python
--client pytexas --show pytexas2014 --room MSC_2300_A 8745 --force
Next: (none, at end of list)

show more... Marks

Author(s):	Claude Jager-Rubinson
Location	MSC 2300 A
Date	oct Sun 05	Days Raw Files
Start	16:00	First Raw Start	15:59
Duration	00:50:00	Offset	0:00:36
End	16:50	Last Raw End	16:49
Chapters	00:00 0:49:08
Total cuts_time	49 min.

http://www.pytexas.org/2014/talks/8/
raw-playlist raw-mp4-playlist encoded-files-playlist mp4 svg png

final audio

assets release.pdf Conducting_and_Visualizing_SetTheoretic_Social_Research_with_Python.json
logs
Admin: episode episode list cut list raw files day marks day marks day image_files

State:
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
Normalise:
Channelcopy:	m=mono, 01=copy left to right, 10=right to left, 00=ignore.
Thumbnail:	filename.png
Description:	This will be a revised version of a talk that I gave at PyHou one year ago, the slides from which are available at http://gator.uhd.edu/~rubinsonc/presentations/rubinson-201303-pyhou-kirq.pdf I develop a suite of f/oss software packages (Python/Qt) for conducting "qualitative comparative analysis," a social research technique for analysis subset relationships. (For example, religious fundamentalists constitute a rough subset of political conservatives: most religious fundamentalists are politically conservative but most conservatives aren't religious fundamentalists.) In this talk, I will discuss the process of developing the software, beginning with an R implementation that was ultimately discarded, and outline why I ended up choosing Python and review the consequences of that choice, both pro and con. More generally, I'll assess benefits and disadvantages of using Python for developing academic software. As part of the talk, I will also discuss my current work on developing new techniques for visualizing subset relationships, including different approaches to presenting Venn and Euler diagrams, using a suite of programs/Python libraries that I will be releasing this summer. markdown
Comment:	production notes

2014-10-05/15_59_24.dv Apply: 15:59:24 - 16:00:01 ( 00:00:37 ) S: 15:59:24 - E: 16:00:01 D: 00:00:37 show more...

vlc ~/Videos/veyepar/pytexas/pytexas2014/dv/MSC_2300_A/2014-10-05/15_59_24.dv :start-time=00.0 --audio-desync=0

	Raw File	Cut List
	15:59:24		seconds: 0.0 Wall: 15:59:24
Duration	00:00:37
	16:00:01		seconds: 0.0 Wall: 15:59:24
Comments:
mp4 mp4.m3u	dv.m3u	Split: Sequence:: delete

audio viz

2014-10-05/16_00_01.dv Apply: 16:00:01 - 16:49:09 ( 00:49:08 ) S: 16:00:01 - E: 16:49:09 D: 00:49:08 show more...

vlc ~/Videos/veyepar/pytexas/pytexas2014/dv/MSC_2300_A/2014-10-05/16_00_01.dv :start-time=00.0 --audio-desync=0

	Raw File	Cut List
	16:00:01		seconds: 0.0 Wall: 16:00:01
Duration	00:49:08
	16:49:09		seconds: 0.0 Wall: 16:00:01
Comments:
mp4 mp4.m3u	dv.m3u	Split: Sequence:: delete

audio viz

2014-10-05/16_49_10.dv Apply: 16:49:10 - 16:49:15 ( 00:00:05 ) S: 16:49:10 - E: 16:49:15 D: 00:00:05 show more...

vlc ~/Videos/veyepar/pytexas/pytexas2014/dv/MSC_2300_A/2014-10-05/16_49_10.dv :start-time=00.0 --audio-desync=0

	Raw File	Cut List
	16:49:10		seconds: 0.0 Wall: 16:49:10
Duration	00:00:05
	16:49:15		seconds: 0.0 Wall: 16:49:10
Comments:
mp4 mp4.m3u	dv.m3u	Split: Sequence:: delete

audio viz

Rf filename:	root is .../show/dv/location/, example: 2013-03-13/13:13:30.dv
Sequence:
get this:	check and save to add this

2014-10-05/15_59_24.dv
audio viz

audio viz

2014-10-05/16_00_01.dv
audio viz

audio viz

2014-10-05/16_49_10.dv
audio viz

audio viz

Veyepar Video Eyeball Processor and Review