Bøker av 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.

If your web applications success depends on how quickly and easily users can make transactions, PayPal APIs provide effective solutions you cant afford to overlook. This concise book takes you hands-on through several options to help you determine the best choice for your situation, whether youre collecting money via websites or mobile apps for products and services, donations, or anything else.In each chapter, youll work with a different PayPal API by integrating it into the books sample application, using Python and the Google App Engine framework. This expanded edition introduces two new options: Express Checkout for Digital Goods and Instant Payment Notifications, complete with sample project code. By the end of this book, youll understand how to take full advantage of PayPal and its powerful features.Learn PayPal API basics, and get an introduction to Google App EngineExplore the Express Checkout option, and understand what distinguishes it from other generic workflowsTailor Express Checkout for electronic documents, videos, and other in app digital purchasesApply the Adaptive Payments option for transactions that involve multiple recipientsEmbed the payment process into your site with no mention of PayPal, using Website Payments ProUse the Instant Payment Notifications you receive as triggers to take follow-up action

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.