Differences between revisions 7 and 8
Revision 7 as of 2003-02-26 20:56:46
Size: 1123
Editor: 170
Comment:
Revision 8 as of 2008-11-15 14:00:48
Size: 1131
Editor: localhost
Comment: converted to 1.6 markup
Deletions are marked like this. Additions are marked like this.
Line 5: Line 5:
My talk will describe [http://pytables.sf.net PyTables], a Python package My talk will describe [[http://pytables.sf.net|PyTables]], a Python package
Line 7: Line 7:
tables and [http://www.pfdubois.com/numpy Numeric and numarray] Python tables and [[http://www.pfdubois.com/numpy|Numeric and numarray]] Python
Line 10: Line 10:
[http://hdf.ncsa.uiuc.edu/HDF5 HDF5] library. [[http://hdf.ncsa.uiuc.edu/HDF5|HDF5]] library.
Line 18: Line 18:
[http://www.python.org/pycon/pycon-schedule.html scheduled] for 10am on [[http://www.python.org/pycon/pycon-schedule.html|scheduled]] for 10am on

Processing And Analyzing Extremely Large Amounts Of Data In Python

Presentation Notes

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.

So please add questions/suggestions below; for example:

  • I would attend if ...
  • Will PyTables run on ...

  • etc.


PyConFrancescAlted (last edited 2008-11-15 14:00:48 by localhost)

Unable to edit the page? See the FrontPage for instructions.