Mining the Social Web: Data Mining Facebook, Twitter, LinkedIn, Instagram, GitHub, and More, 3rd Edition by Matthew A. Russell, Mikhail Klassen
Requirements: .PDF reader, 30 MB
Overview: 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 on one aspect of the social landscape, including each of the major social sites, as well as web pages, blogs and feeds, mailboxes, GitHub, and a newly added chapter covering Instagram. Part two provides a cookbook with two dozen bite-size recipes for solving particular issues with Twitter.
Genre: Non-Fiction > Tech & Devices Twitter, Instagram, Python, social media, open source, GitHub

Download Instructions:
https://turbobit.net/q7anmbbaclhi.html
https://douploads.net/kr3xywuu2pq9
Requirements: .PDF reader, 30 MB
Overview: 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 on one aspect of the social landscape, including each of the major social sites, as well as web pages, blogs and feeds, mailboxes, GitHub, and a newly added chapter covering Instagram. Part two provides a cookbook with two dozen bite-size recipes for solving particular issues with Twitter.
Genre: Non-Fiction > Tech & Devices Twitter, Instagram, Python, social media, open source, GitHub
Download Instructions:
https://turbobit.net/q7anmbbaclhi.html
https://douploads.net/kr3xywuu2pq9