These are the videos of a series dedicated to introduce the main features of PyTables in a visual and easy to grasp manner. More videos will be made available with the time:
HDF5 is for Lovers, SciPy 2012 Tutorial: a beginer’s introduction to PyTables and HDF5.
PyTables, part I: Introduction: HDF5 file creation, the object tree, homogeneous array storage, natural naming, working with attributes.
PyTables, part II: Working with tables: Creation of tables with multidimensional and nested columns, and how to efficiently query them.
Here are the slides of some presentations about PyTables that you may find useful:
Highly Efficient Computations In Python: Well Beyond NumPy. Tutorial given at EuroSciPy 2010 conference in Paris, France (July 2010).
On The Data Access Issue (or Why Modern CPUs Are Starving). Keynote presented at EuroSciPy 2009 conference in Leipzig, Germany (July 2009).
Finding Needles in a Huge DataStack. Talk given at the EuroPython 2006 Conference, held at CERN, Genève, Switzerland (July 2006).
Presentation given at the “HDF Workshop 2005”, held at San Francisco, USA (December 2005).
Presentation given at the “SciPy Workshop 2004”, held at Caltech, Pasadena, USA (September 2004).
Slides of presentation given at EuroPython Conference in Charleroi, Belgium (June 2003).
Presentation for the “iParty5” held at Castelló, Spain (May 2003). In Spanish.
Talk on PyTables given at the PyCon 2003 Convention held at Washington, USA (March 203).
White Paper on OPSI indexes, explaining the powerful new indexing engine in PyTables Pro.
Performance study on how the new object tree cache introduced in PyTables 1.2 can accelerate the opening of files with a large number of objects, while being quite less memory hungry.
Paper version of the presentation at PyCon2003.
Other sources for examples¶
The examples presented above show just a little amount of the full capabilities
Please check out the documentation and the
examples/ directory in the
source package for more examples.