Brandon Philips' favorites

Favorite sessions for this user

* Bootstrapping Your Open Source Business

A panel on funding your business without VC, based on GitHub's experiences.
Business
Chris Wanstrath, PJ Hyett, Tom Werner

* Building an embedded Linux system monitoring device

As a Kernel developer I spend alot of my day looking at syslogs and rebooting systems. So, I set off to automate the process and you, the audience, will get an introduction to building ARM software and network device drivers.
Hacks
Brandon Philips

* Command-Line Kung Fu: White Belt

Come and learn some useful command-line short cuts and shell idioms that will make you vastly more productive in a Linux or Unix shell. Time permitting, we'll even play "stump the expert", so bring your thorniest shell problems.
Cooking
Hal Pomeranz

* Effective code sprinting

Code sprints are events where developers quickly complete coding tasks in a collaborative environment. A panel of skilled developers will share their experiences for organizing effective code sprints so you can better participate and organize your own. The panel members have organized and participated in over a hundred sprints (ranging from Django to JRuby) and used sprints as the primary way to develop community-oriented projects (e.g., Calagator). While most of the discussion will be about volunteer-run open source code sprints, many of the ideas will be readily applicable to improving development at your workplace. The panel will offer practical, actionable advice that you can use and answer your questions.
Culture
Igal Koshevoy, Reid Beels, Audrey Eschright

* Introduction to Parrot

This talk briefly explains the overall architecture of Parrot and teaches the skills needed to get started hacking in Parrot.
Hacks
chromatic x

* Please Your Pixel-Hungry Eyes With Codes That Read Better

Make the text you see in the Terminal window more legible and readable by finding, customizing and designing your own font!
Hacks
Bram Pitoyo

* Write your own Bayesian Classifier: An Introduction to Machine Learning

Can you perform simple arithmetic? Do you know how to program well enough to open and read files? Then you can write a Bayesian classifier, one of the machine learning techniques for predicting categories, most famous for its use in spam filters. Let's demystify this impressively-named but ultimately simple process.
Cooking
John Melesky