TUTORIAL REQUIREMENTS AND INSTRUCTIONS FOR ATTENDEES
The presenter has requested that you prepare your development environment
prior to attending the workshop because bandwidth probably will not be
sufficient to support setup on site. This quick start guide provides a
short set of instructions on how to install the virtual machine that you’ll
be using throughout the workshop:
Please leave a note in the comments field below or contact
the presenter directly through any of the following channels if you
encounter problems or need support in configuring your environment prior to
Social web properties such as Twitter, Facebook, LinkedIn, and Google+ have vast amounts of valuable insights lurking just beneath the surface, and this workshop minimizes the barriers to exploring and mining this valuable data by presenting turn-key examples from Mining the Social Web (2nd Edition) with IPython Notebook.
Each module consists of a brief period in which each attendee will customize the corresponding notebook for the module with their own account credentials with the remainder of the module devoted to learning what data is available from the API and exercises demonstrating analysis of the data — all from a pre-populated IPython Notebook. Even attendees with minimal programming experience should be able to walk away from this workshop with a working knowledge of the material and be equipped with sample code that can be easily repurposed given the design of this tutorial.
Time will be set aside at the end of each module’s follow-along presentation for attendees to hack on the code, discuss examples, and ask any lingering questions.
Matthew Russell (@ptwobrussell) is Chief Technology Officer at Digital Reasoning where he is responsible for the company’s technology vision, strategy and direction. He is also the 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 Web technologies 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.
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