Books by Matthew A. Russell

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 mediaincluding whos connecting with whom, what theyre talking about, and where theyre locatedusing 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.Get a straightforward synopsis of the social web landscapeUse Docker to easily run each chapters example code, packaged as a Jupyter notebookAdapt and contribute to the codes open source GitHub repositoryLearn how to employ best-in-class Python 3 tools to slice and dice the data you collectApply advanced mining techniques such as TFIDF, cosine similarity, collocation analysis, clique detection, and image recognitionBuild beautiful data visualizations with Python and JavaScript toolkits

Widgets have become a popular expression of Ajax, enabling developers to build small real-time data applications that web masters and users can import into a web page - applications that offer stock quotes, weather, surveys, and dictionaries. This work shows how to create ultra-portable widgets that you can share or roll out on a web server.

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Millions of public Twitter streams harbor a wealth of data, and once you mine them, you can gain some valuable insights. This short and concise book offers a collection of recipes to help you extract nuggets of Twitter information using easy-to-learn Python tools. Each recipe offers a discussion of how and why the solution works, so you can quickly adapt it to fit your particular needs. The recipes include techniques to:Use OAuth to access Twitter dataCreate and analyze graphs of retweet relationshipsUse the streaming API to harvest tweets in realtimeHarvest and analyze friends and followersDiscover friendship cliquesSummarize webpages from short URLsThis book is a perfect companion to OReilly's Mining the Social Web.