veyepar: introduction to open and collaborative data analysis with pandas and IPython/Jupyter Notebook

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Description:	Data munging is typically an involved and noisy process, but pandas -- especially using the notebook format -- make it easy to share and reproduce the process of analyzing data, from munging to analysis and even exploratory visualization! In this talk you'll get a glimpse of the pandas workflow and some tips for getting the most out of its use in the IPython/Jupyter notebook. markdown
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2015-08-16/09_49_32.dv Apply: 09:49:32 - 10:02:18 ( 00:12:46 ) S: 09:49:32 - E: 10:02:18 D: 00:12:46 show more...

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2015-08-16/10_02_18.dv Apply: 10:02:18 - 10:39:19 ( 00:37:01 ) S: 10:02:18 - E: 10:39:19 D: 00:37:01 show more...

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2015-08-16/10_39_19.dv Apply: 10:39:19 - 11:14:14 ( 00:34:55 ) S: 10:39:19 - E: 11:14:14 D: 00:34:55 show more...

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