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<title>HDF5 for Python</title>
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<h1><a href="/">HDF5 for Python</a></h1>
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<strong class="hide">Main menu:</strong>
<a class="menulink" href="https://pypi.python.org/pypi/h5py">Downloads</a><span class="hide"> | </span>
<a class="menulink" href="http://docs.h5py.org">Documentation</a><span class="hide"> | </span>
<a class="menulink" href="http://github.com/h5py/h5py">GitHub Project</a>
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<h2>About the project</h2>
<p>The h5py package is a Pythonic interface to the <a href="http://hdfgroup.org">HDF5</a> binary data format.</p>
<p>It lets you store huge amounts of numerical data, and easily manipulate that data 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.</p>
<p>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. You don't need to know anything special about HDF5 <a href="http://docs.h5py.org/en/latest/quick.html">to get started</a>.
<p>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.</p>
<p>Best of all, the files you create are in a widely-used standard binary format, which you can exchange with <a href="http://earthobservatory.nasa.gov/Features/HDFEOS/">other people</a>, including those who use programs like IDL and MATLAB.</p>
<h2>Stable Downloads</h2>
<p>All downloads are now <a href="https://pypi.python.org/pypi/h5py">available at the Python Package Index (PyPI)</a>.
<p>Check out the <a href="http://docs.h5py.org/en/latest/build.html">install guide</a>.</p>
<h2>Development</h2>
<p>All development for h5py takes place <a href="https://github.com/h5py/h5py">on GitHub.</a> Before sending a pull
request, please ping the mailing list <a href="http://groups.google.com/group/h5py">at Google Groups</a>. </p>
<h2>Documentation</h2>
<p>The <a href="http://docs.h5py.org">h5py user manual</a> is a great place to start; you may also want to check out the <a href="http://docs.h5py.org/en/latest/faq.html">FAQ</a>.</p>
<p>There's an <a href="http://shop.oreilly.com/product/0636920030249.do">O'Reilly book</a>, <i>Python and HDF5</i>, written by the lead author of h5py, Andrew Collette.
</p>
<p>General questions are always welcome on the <a href="http://groups.google.com/group/h5py">mailing list</a>.</p>
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<p class="footer">Copyright <a href="index.html">Andrew Collette & contributers</a><br>
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