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Dplython: Intuitive Data Analysis, Funky Python
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Next: 11 PyPy & Us Could Be PyPy & You
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Marks
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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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.
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