[1] NCSA. What is HDF5?. Concise description about HDF5 capabilities and its differences from earlier versions (HDF4). http://hdf.ncsa.uiuc.edu/whatishdf5.html .
[2] A High Level Interface to the {HDF5} File Format. HL-HDF is a high level interface to the Hierarchical Data Format, version 5. HL-HDF also contains an interface to the Python programming language, called PyHL. ftp://ftp.ncsa.uiuc.edu/HDF/HDF5/contrib/hl-hdf5/README.html .
[3] NCSA. Introduction to {HDF5}. Introduction to the HDF5 data model and programming model. http://hdf.ncsa.uiuc.edu/HDF5/doc/H5.intro.html .
[4] NCSA. The HDF5 table programming model. Examples on using HDF5 tables with the C API. http://hdf.ncsa.uiuc.edu/HDF5/hdf5_hl/doc/RM_hdf5tb_ex.html .
[5] zlib. {A Massively Spiffy Yet Delicately Unobtrusive Compression Library}. A standard library for compression purposes. http://www.gzip.org/zlib/ .
[6] Objectify. {On the 'Pythonic' treatment of XML documents as objects(II)}. Article describing XML Objectify, a Python module that allows working with XML documents as Python objects. Some of the ideas presented here are used in PyTables. http://www-106.ibm.com/developerworks/xml/library/xml-matters2/index.html .
[7] Pyrex. {A Language for Writing Python Extension Modules}. http://www.cosc.canterbury.ac.nz/~greg/python/Pyrex .
[8] NetCDF. {Network Common Data Form}. An interface for array-oriented data access and a library that provides an implementation of the interface. http://www.unidata.ucar.edu/packages/netcdf/ .
[9] NetCDF-4. {Network Common Data Form version 4}. Merging the NetCDF and HDF5 Libraries. http://www.unidata.ucar.edu/software/netcdf/netcdf-4/ .
[10] NumPy. {Scientific Computing with Numerical Python}. The latest and most powerful re-implementation of Numeric to date. It implements all the features that can be found in Numeric and numarray, plus a bunch of new others. In general, is more efficient as well. http://numeric.scipy.org/ .
[11] Numerical Python. Package to speed-up arithmetic operations on arrays of numbers. http://sourceforge.net/projects/numpy/ .
[12] Numarray. Reimplementation of Numeric which adds the ability to efficiently manipulate large numeric arrays in ways similar to Matlab and IDL. Among others, Numarray provides the record array extension. http://stsdas.stsci.edu/numarray/ .
[13] LZO. A data compression library which is suitable for data de-/compression in real-time. It offers pretty fast compression and extremly fast decompression with reasonable compression ratio. http://www.oberhumer.com/opensource/ .
[14] bzip2. A high performance lossless compressor. It offers very high compression ratios within reasonable times. http://www.bzip.org/ .
[15] Psyco. A Python specializing compiler. Run existing Python software faster, with no change in your source. http://psyco.sourceforge.net .
[16] Scientific Python. Collection of Python modules useful for scientific computing. http://starship.python.net/~hinsen/ScientificPython/ .
[17] SciPy. {Scientific tools for Python}. SciPy supplements the popular Numeric module, gathering a variety of high level science and engineering modules together as a single package. http://www.scipy.org .
[18] Optimization of file openings in PyTables. This document explores the savings of the opening process in terms of both CPU time and memory, due to the adoption of a LRU cache for the nodes in the object tree. http://pytables.sourceforge.net/doc/NewObjectTreeCache.pdf .
[19] Coop. V. Cárabos. ViTables. {A GUI for PyTables/HDF5 files}. It is a graphical tool for browsing and editing files in both PyTables and HDF5, formats. http://www.carabos.com/products/vitables.html .
[20] GnuWin32. {GNU (and other) tools ported to Win32}. GnuWin32 provides native Win32-versions of GNU tools, or tools with a similar open source licence. http://gnuwin32.sourceforge.net/ .