Mining the Social Web, 2nd Ed (O'Reilly)
Wednesday, 09 April 2014

How can you tap into the wealth of social web data to discover who’s making connections with whom, what they’re talking about, and where they’re located?  In his expanded and thoroughly revised edition, Matthew Russell shows how to acquire, analyze, and summarize data from the social web: Facebook, Twitter, LinkedIn, Google+, GitHub, email, websites, and blogs. See our review of original edition.

<ASIN:1449367615>

 

Author: Matthew A Russell
Publisher: O'Reilly
Date: October 20, 2013
Pages: 448
ISBN: 978-1449367619

 

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Think Complexity

Author: Allen B. Downey
Publisher: O'Reilly
Pages: 142
ISBN: 978-1449314637
Audience: Intermediate Python programmers
Rating: 3
Reviewer: Michael Driscoll

This books cover provides the subtitle "Exploring Complexity Science with Python". Is this a good combination?



View Updating and Relational Theory

Author: C. J. Date
Publisher: O'Reilly, 2013
Pages: 260
ISBN: 978-1449357849
Audience: Database programmers who want to improve their handling of Views
Rating: 4
Reviewed by: Kay Ewbank

Chris Date proposes an interesting idea for how database systems could achieve updatable views.


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