Processing And Analyzing Extremely Large Amounts Of Data In Python
My talk will describe PyTables, a Python package that enables the end user to manipulate easily scientific data tables and Numeric and numarray Python objects in a persistent, hierarchical structure. The foundation of the underlying hierarchical data in permament storage is the excellent 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 scheduled for 10am on friday March 28th.
I would like to target my presentation as best I can to those people attending.
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