Developing Your Career at Oredev!
This show is three interviews recorded at Oredev, all around thoughts to expand your career and education. The first is from Michael Norton, discussing taking control of your career. Second, a conversation with Dave Hoover about the apprenticeship and journeyman process of software craftsmanship. Finally, Bill Pugh talks about teaching college students to program.
Guests:

Michael Norton
Doc Norton is a software delivery professional working to make the world of software development a better place. His experience covers a wide range of development topics. Doc declares expertise in no single language or methodology and is immediately suspicious of anyone who declares such expertise. A frequent and well-rated international speaker, Doc is passionate about helping others become better developers, working with teams to improve delivery, and building great organizations. In his role at OnBelay, Doc is provided opportunities to realize his passion every day. Doc's book, "Escape Velocity: Better Metrics for Agile Teams", is available in bookstores worldwide. https://www.docondev.com/escape-velocity

Dave Hoover
Dave Hoover is a family therapist turned software craftsman. Since his career change in late 2000, Dave has followed his passion for problem solving through several different companies, including ThoughtWorks, and eventually found his way to Obtiva. As Obtiva's Chief Craftsman he has led the company into several new areas including apprenticeship, Ruby development, and startup development. Dave enjoys speaking at technology conferences like RailsConf, QCon and Sofware Craftsmanship North America, along with spreading his ideas via his blog and Twitter.
Bill Pugh
William Pugh received a B.S. in Computer Science from Syracuse University and received a Ph.D. in Computer Science (with a minor in Acting) from Cornell University. He is currently a professor at the University of Maryland, College Park. William is a Packard Fellow, and invented Skip Lists, a randomized data structure that is widely taught in undergraduate data structure courses.