Thoughtworks Ruby on Rails Workshop
Friday, October 19, 2012 at 9:00 AM - Saturday, October 20, 2012 at 9:00 PM (EAT)
Those of you who have already attended the RapidFTR code jams will have started to get familiar with the Ruby programming language. This is an opportunity to build upon what you have already learnt. Over the course of the 2 days you will be taken on a journey through the entire end to end process of developing a rails application and its underling architecture and will gain an understanding of what happens under the cover in between you entering a URL into a web browser to receiving the HTML response. On top of all this, we'll be adding an introduction to Test Driven Development too!
Due to the nature of the training there is a limit on the number of people that we can accommodate, and places will be distributed on a first come first served basis. Please respond soon and don't miss out on an opportunity to learn from an experienced practitioner.
Patrick Turley has been a Software Developer with ThoughtWorks for the past 4 and a half years working on a range of projects and environments across multiple languages. He originally joined in the US, and recently moved to the new ThoughtWorks South Africa office which he has been helping establish. http://www.linkedin.com/in/patrickturley
When & Where
Outbox hub is an incubation, collaboration and co-creation space that supports techies and further support for people to turn their tech ideas into businesses.
Our vision is to nurture innovative technology startups that create a gloabl impact.
Our mission is to provide an entrepreneurial platform that for innovation that attracts real talent and creates value where we operate.
Outbox Research is a research, big data and analytics initiative, leveraging innovations in digital data, rapid data collection and analysis in order to enable decision makers gain an in-depth understanding of their data and to improve the lives of citizens around the world
Outbox research is pursuing a two-fold strategy:
- Researching innovative methods and techniques for analysing digital data to detect positive occurences and early emerging vulnerabilities and challenges
- Assembling a team of data hackers and stasticians to crunch open data and partner provided data using free and open source technologies