Fame Kalibrator 0.2

Fame Kalibrator helps you find out who is more famous and quantify their relationship in numerical terms. This fame calibrator written in pyqt.

Just enter two names or concepts and the program will quantify their fame and their degree of relatedness according to data from YahooSearch. It will also download random images associated with the query.

Some interesting queries:

- Paris Hilton Vs Madonna
- The Beatles Vs Rolling Stones
- Luck Vs Destiny
- Love Vs Sex
- Marilyn Monroe Vs Arthur Miller
- Marlon Brando Vs James Dean

INSTALLATION:

Unpack, cd to kalibrator directory and run in terminal "python kalibrator.py" or "./kalibrator.py" if you turned the archive into executable.

It requires the pyqt module (if you installed Amarok you already have it).

Thanks to Swaroop C H and his qpicsearch for the inspiration and examples of querying the yahoo api from python.

What's New in This Release:

· Image download.
· Redesign.



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