Hello, I've been asked by a colleague for help in a small educational project, which would involve the recognition of patterns in a live feed of data points (readings from a measuring appliance), and then a more general search for patterns on archival data. The language of preference is Python, since the lab uses software written in Python already. I can see there are packages like Open CV, scikit-learn, Orange that could perhaps be of use for the mining phase -- and even if they are slanted towards image pattern recognition, I think I'd be able to find an appropriate package for the timeseries analyses. But I'm wondering about the "live" phase -- what approach would you suggest? I wouldn't want to force an open door, perhaps there are already packages/modules that could be used to read data in a loop i.e. every 10 seconds, maintain a a buffer of 15 readings and ring a bell when the data in buffer form a specific pattern (a spike, a trough, whatever)?
I'll be grateful for a push in the right direction. Thanks, GS -- Grzegorz Staniak <gstaniak _at_ gmail [dot] com> -- http://mail.python.org/mailman/listinfo/python-list
