veyepar: Dplython: Intuitive Data Analysis, Funky Python

Author(s):	Chris Riederer
Location	Room CR6
Date	jul Sat 16	Days Raw Files
Start	13:45	First Raw Start	12:20
Duration	00:25:00	Offset	1:24:11
End	14:10	Last Raw End	13:50
Chapters	00:00
Total cuts_time	22 min.

https://2016.pygotham.org/talks/292/dplython-intuitive-data-analysis-funky-python
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Description:	The goal of data analysis is to write code that manipulates data to give us answers. Ideally, we could translate our questions into code as quickly as we could think! Dplython is an open source Python library (inspired by R's "dplyr") that improves productivity by constraining analysis to a core set of the most common data manipulation operations. By mapping the way we think about typical tasks to functions, dplython moves data analysis closer to "speed-of-thought." In this talk, I'll describe the core ideas behind dplython, present a tutorial on using it for data analysis, and give a technical peek at Pythonic lazy evaluations created with operator overloading. markdown
Comment:	Speaker didn't use microphone for first two minutes of talk. production notes

2016-07-16/12_20_49.ts Apply: 12:20:49 - 12:50:49 ( 00:30:00 ) S: 12:20:49 - E: 12:50:49 D: 00:30:00 show more...

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