Personal schedule for Christopher Neugebauer

The class examines (from a geek perspective) seven basic principles of good presentation, covering preparation, content selection, delivery techniques, and handling questions...or the lack thereof. It also explores a dozen simple and practical techniques for making your slides not suck. Read more.

Learn why Android is awesome, and how you can build useful apps for the world’s most popular tiny computer even if you hate the idea of a telephone. Find out why a good UI and well thought-through interaction design are not optional components for mobile hackers, and build an actual app in 3 hours in this hands-on, fast paced tutorial. For existing programmers of any language at any level. Read more.

The Go programming language was designed to make programming productive and efficient. Go is a concurrent language that compiles quickly to machine code yet has the convenience of garbage collection and the power of run-time reflection. This talk is an introduction to Go that focuses on how the design of the language helps it achieves those goals. Read more.

A blatant rip-off of Josh Bloch's "Java Puzzlers: Traps, Pitfalls, and Corner Cases", Python Puzzlers reveals some of Python's productivity-threatening oddities by showing several short code examples and asking the audience to explain their behavior. Read more.

Django's creator surveys some of the highs and lows of Django implementations. Read more.

Learn how to remain true to your open source ideals, as well as the open source community at large, when developing and designing software for Apple’s iOS. This talk covers the ins and outs of open source iOS frameworks and libraries as well as licensing pitfalls and tips. Read more.

Finding the right piece of "prior art" - technical documentation that described a patented piece of technology before the patent was filed - is like finding a needle in a very big haystack. This session will talk about making that process faster and more accurate through the use of natural language processing, graph theory, machine learning, and lots of Python. Read more.

Real clouds look fluffy but mass up to a million tonnes. Virtual clouds look cheap but consume the output of 10 nuclear power stations. Real life factors can seriously influence your data center requirements. How can Linux help you? Read more.