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Name: Time Series Manipulation with pandas
--client enthought --show scipy_2012 --room Ballroom_CDE 1179 --force
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Author(s):	Wes McKinney
Location	Ballroom (CDE)
Date	jul Wed 18	Days Raw Files
Start	14:20	First Raw Start	13:38
Duration	20:00	Offset	0:41:43
End	14:40	Last Raw End	14:41
Chapters	00:00
Total cuts_time	17 min.

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assets release.pdf Time_Series_Manipulation_with_pandas.json
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Description:	In this talk I'll discuss major developments in pandas over the last year related to time series handling and processing. This includes the integration of the new NumPy datetime64, implementation of rich and high performance resampling methods, better visualization, and a generally cleaner, more intuitive and productive API. I will also discuss how functionality from the defunct scikits.timeseries project has been integrated into pandas, thus providing a unified, cohesive set of time series tools for many different problem domains. Lastly, I'll give some details about the pandas development roadmap and opportunities for more people to get involved. markdown
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