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The h5py package is a Pythonic interface to the HDF5 binary data format, used for reading and writing HDF5 data files from python.

It enables you to store huge amounts of numerical data, and easily manipulate them from NumPy. For example, you can slice into multi-terabyte datasets stored on disk, as if they were real NumPy arrays. Thousands of datasets can be stored in a single file, categorized and tagged however you want.

H5py uses straightforward NumPy and Python metaphors, like dictionary and NumPy array syntax. For example, you can iterate over datasets in a file, or check out the .shape or .dtype attributes of datasets.

In addition to the easy-to-use high level interface, h5py rests on a object-oriented Cython wrapping of the HDF5 C API. Almost anything you can do from C in HDF5, you can do from h5py.

Reference: http://www.h5py.org/

You can download h5py from Python Package Index (PyPI) or install it quickly by following instructions found here (including h5py usage Demo) or at http://docs.h5py.org.

For Ubuntu Linux, you can install h5py using conda, simply by typing
Check if the installed on Ubuntu package dependencies meet requirements by typing
Or
For example, to check the installed version of numpy, type
Or
For Ubuntu 14.04 LTS, if pip or conda install does not work, install h5py for python3 with: