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DjangoCon 2009


DjangoCon US is the main opportunity for djangonauts to come together in the United States. It will consist of two tracks of talks over three days, and will also provide for open sessions, lightning talks, and a development sprint after the conference.

DjangoCon US provides a critical opportunity for the community members to socialize, share ideas, work together, and plan for continued success.

Sept. 8, 2009
Number of videos:
A socio-political analysis of open source community — Ian Bicking ogg
Confessions of a life long Perl Bigot — Frank Wiles ogg
Cowboy Development with Django — Simon Willison ogg
Customizing your Satchmo Store — Chris Moffitt ogg
Custom Signals for Uncoupled Design ogg
Database Migrations, South, And You — Andrew Godwin ogg
Deploying Django — Brian Rosner ogg
Django is obsolete (but so is everything else) — Avi Bryant ogg
Django on Jython: Ready for Production — Chris McAvoy ogg
Django Technical Design Panel ogg
Fighting malnutrition with SMS and Django — Andy Mckay ogg
Google Summer of Code Overview Panel ogg
How to Contribute to Pinax — James Tauber ogg
How to name your open source Django project after a famous Jazz musician, and concepts behind Django-Mingus, a project leveraging only reusable apps. — Kevin Fricovsk ogg
Introduction from the fake Jacob Kaplan-Moss — James Tauber ogg
Introduction to Pinax — Daniel Greenfeld , James Tauber ogg
Lightning Talks Day 2 ogg
Lightning Talks Day 3 ogg
Making your PostgreSQL database sing — Frank Wiles ogg
No! Bad Pony! — Dr. Russell Keith-Magee ogg
Now What — Ted Leung x-flv
Painless Django app localization with Transifex — Dimitris Glezos ogg
Pluggable, Reusable Django Apps: A Use Case and Proposed Solution — Shawn Rider and Nowell Strite ogg
Real-time Web and Other Buzzwords ogg
RESTful Ponies ogg
Scaling Django Web Applications ogg
Selling Django to Your Superiors: Success Stories Panel ogg
State of Pinax ogg
Token Testing Talk — Eric Holscher ogg
Using Django in Non-Standard Ways ogg
What the Heck Went Wrong? ogg
When not to use the ORM: bulk data loading strategies for large datasets. ogg