"This talk demonstrates how an eclectic blend of storage, analysis, and visualization techniques can be used to gain a lot of serious insight from Twitter data, but also to answer fun questions such as "What does Justin Bieber and the Tea Party have (and not have) in common?"--Resource description page.

Mine the rich data tucked away in popular social websites such as Twitter, Facebook, LinkedIn, and Instagram. With the third edition of this popular guide, data scientists, analysts, and programmers will learn how to glean insights from social media-including who's connecting with whom, what they're talking about, and where they're located-using Python code examples, Jupyter notebooks, or Docker containers. In part one, each standalone chapter focuses...