Processing And Analyzing Extremely Large Amounts Of Data In Python

Presentation Notes

My talk will describe [http://pytables.sf.net PyTables], a Python library that address this needs, enabling the end user to manipulate easily scientific data tables and [http://www.pfdubois.com/numpy Numeric and numarray] Python objects in a persistent, hierarchical structure. The foundation of the underlying hierarchical data in permament storage is the excellent [http://hdf.ncsa.uiuc.edu/HDF5 HDF5] library.

I will be walking through the basic features of the PyTables, and demonstrating the use of the package in real-life scenarios. In addition, I will present some benchmark where PyTables will show to be competitive when compared with other persistent databases in Python.

This presentation is currently [http://www.python.org/pycon/pycon-schedule.html scheduled] for 10am on friday March 28th.

I would like to target my presentation as best I can to those people attending.

So please add questions/suggestions below; for example:

• I would attend if ...

• Will PyTables run on ...

• etc.