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Exploring Science on Twitter with IPython Notebook and Python Pandas
--client
pyconau
--show
pycon_au_2013
--room plenary 2511 --force
Next: 10 Using Cython for distributed-multiprocess steganographic md5sum-collision generation
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Marks
Author(s):
Brenda Moon
Location
Plenary Hall
Date
jul Sat 06
Days Raw Files
Start
15:10
First Raw Start
14:52
Duration
0:30:00
Offset
0:17:56
End
15:40
Last Raw End
15:42
Chapters
00:00
Total cuts_time
27 min.
http://2013.pycon-au.org/schedule/30059/view_talk
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Starting with 13.5 million tweets from 2011 containing the word science: How I’ve explored the way people use ‘science’ on Twitter. The IPython notebook (http://ipython.org/notebook.html) is a great tool for research, allowing me to keep notes about my research interleaved with the python code. In addition, the Pandas python data analysis library (http://pandas.pydata.org/) supports working with large data tables with excellent support for time series data.
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2013-07-06/14:52:04.dv
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