Reactive Python for Data Science /

Reactive programming is shaping the future of how we model data. With reactive, not only can you concisely wrangle and analyze static data, you can effectively work with data as a real-time infinite feed. Reactive Extensions (Rx) first gained traction in 2009 and has been ported to over a dozen majo...

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Bibliographic Details

Main Author:	Nield, Thomas (Author)
Corporate Author:	Safari, an O'Reilly Media Company
Format:	eBook
Language:	English
Published:	O'Reilly Media, Inc., 2017.
Edition:	1st edition.
Subjects:	Electronic videos.
Online Access:	Connect to this electronic resource