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| Publisher | Shroff/O'Reilly |
| Publication Year | 2019 |
| ISBN-13 | 9789352137695 |
| ISBN-10 | 9352137698 |
| Binding | Paperback |
| Number of Pages | 428 Pages |
| Language | (English) |
| Dimensions (Cms) | 20X14X4 |
| Weight (grms) | 660 |
mine the rich data tucked away in popular social web sites such as Twitter, face book, linked in, 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 stand alone br>Chapter focuses on one aspect of the social landscape, including each of the major social sites, as well as web pages, blog and feeds, mailboxes, GitHub, and a newly added br>Chapter covering Instagram. Part two provides a cookbook with two dozen bite-size recipes for solving particular issues with Twitter.
Mathew A. Russell
Shroff/O'Reilly