Matthew Russell (@ptwobrussell) is Chief Technology Officer at Digital Reasoning, Principal at Zaffra, and author of several books on technology including Mining the Social Web (O'Reilly, 2013), now in its second edition. He is passionate about open source software development, data mining, and creating technology to amplify human intelligence. Matthew studied computer science and jumped out of airplanes at the United States Air Force Academy. When not solving hard problems, he enjoys practicing Bikram Hot Yoga, CrossFitting and participating in triathlons.
Webcast: Data Science Experiments with Twitter and IPython Notebook December 13, 2013
After attending this mini-workshop, you'll be able to run your own data science experiments with Twitter's API and IPython Notebook! Besides learning the fundamentals of how to use IPython Notebook, you'll learn how to do the following kinds of things...
Webcast: Why Twitter Is All the Rage: A Data Miner's Perspective October 15, 2013
In order to be successful, technology must amplify a meaningful aspect of our human experience, and Twitter’s success largely has been dependent on its ability to do this quite well. Although you could describe Twitter as just a “free, high-speed...
"Mining the Social Web: Data Mining Facebook, Twitter, LinkedIn, Google+, GitHub, and More concludes with three appendices that should be required reading to a practitioner, and, at eight pages, does not require much time."
--Angela Robertson, Technical Communication, Volume 61, Number 3, August 2014
"A worthy upgrade to the first edition, this time not PHP but enumerated in Python. Does a good job of plotting & describing PayPal's increasingly byzantine "workflows" to bop payments back and forth."
"If you are trying to figure out where you or your business fits into Twitter, Mining Twitter is a must have book for you! "
--Lisa Martin, Lisa Reviews
"Its a slam dunk for Python programmers.
--Bill Day, BillDay.com
"It is an incredible companion to get you moving in pulling data, trends or just about anything from Twitter."
--Chris Miller, TheSocialNetworker
"Invaluable custom apps, or at least a good solid start in doing so."
--Dr. Tami Brady, TCM Reviews
"I got out of my comfort zone and learned several things from this book, so I recommend it to all readers who need to improve their understanding of data."
--Jeremy Schultz, Designorati
"This fast-paced and rich handbook jumps right into the fray and provides an immediate and useful exercise in accessing the Twitter API using python and doing a very quick visualization of trending subjects. I was hooked and greedily and immediately consumed a few more of his lessons. "
--Shawn Day, randomosity
"Kudos to the organization of the book, with chapter 'encapsulation', allowing for each chapter to be read independently, for each social web network. The e-book is enjoyable because it has a lot of hyperlinks, which is quite convenient..."
--Doron Katz, DoronKatz.com
"Readers often expect an advanced level of technical description and thoroughness from OReilly, and Dojo: The Definitive Guide meets this description."
--Kyle Jones, The Tech Static
"Any computer library strong in web development will find Dojo: The Definitive Guide an excellent introduction which covers all 1.x versions and offers plenty of examples and tested code sets. From customizing Dojo to overseeing developers using Dojo in larger settings, this offers the programmer/manager a set of keys to working efficiently with Dojo to produce superior layouts and web applications."
--James A. Cox, The Midwest Book Review - California Bookwatch
"Not only has Matthew done an outstanding job documenting and explaining the Dojo Toolkit in great and understandable detail in this book, he's made the Dojo toolkit better through his authoring process by asking hard questions when things did not work the way they should. His suggestions have improved Dojo, and this book lives up to its billing as the Definitive Guide for Dojo."
--Dylan Schiemann, CEO of SitePen, and Co-founder, Dojo Toolkit