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| 6 | + <title>HDF5 for Python 2.1.1</title> |
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| 24 | + <h1><a href="/">HDF5 for Python</a></h1> |
| 25 | + <p class="slogan">Version 2.1.0</p> |
| 26 | + |
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| 28 | + <p class="menulinks"> |
| 29 | + <strong class="hide">Main menu:</strong> |
| 30 | + <a class="menulink" href="http://code.google.com/p/h5py/downloads/list">Downloads</a><span class="hide"> | </span> |
| 31 | + <a class="menulink" href="docs">Documentation</a><span class="hide"> | </span> |
| 32 | + <a class="menulink" href="http://github.com/h5py/h5py">GitHub Project</a> |
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| 39 | + |
| 40 | +<h2>About the project</h2> |
| 41 | + |
| 42 | +<p>The h5py package is a Pythonic interface to the <a href="http://hdfgroup.org">HDF5</a> binary data format.</p> |
| 43 | + |
| 44 | +<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> |
| 45 | + |
| 46 | +<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="docs/intro/quick.html">to get started</a>. |
| 47 | + |
| 48 | +<p>In addition to the easy-to-use high level interface, h5py rests on a object-oriented |
| 49 | +Cython wrapping of the HDF5 C API. Almost anything you can do from C in HDF5, you can do |
| 50 | +from h5py.</p> |
| 51 | + |
| 52 | +<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> |
| 53 | + |
| 54 | +<h2>Downloads</h2> |
| 55 | +<p>On Linux & Mac OS X, you can also install via easy_install or pip. The <a href="docs/intro/build.html">install guide</a> is also helpful.</p> |
| 56 | +<ul> |
| 57 | +<li><a href="http://h5py.googlecode.com/files/h5py-2.1.0.tar.gz">h5py-2.1.0.tar.gz</a> - UNIX tarball; requires HDF5 1.8.3+</li> |
| 58 | +<li><a href="http://h5py.googlecode.com/files/h5py-2.1.0.win32-py2.6.msi">h5py-2.1.0.win32-py2.6.msi</a> - Windows installer for Python 2.6</li> |
| 59 | +<li><a href="http://h5py.googlecode.com/files/h5py-2.1.0.win32-py2.7.msi">h5py-2.1.0.win32-py2.6.msi</a> - Windows installer for Python 2.6</li> |
| 60 | +<li><a href="http://h5py.googlecode.com/files/h5py-2.1.0.win32-py3.2.msi">h5py-2.1.0.win32-py2.6.msi</a> - Windows installer for Python 2.6</li> |
| 61 | +</ul> |
| 62 | +<p>Older versions of h5py <a href="http://code.google.com/p/h5py/downloads/list?can=1">are also available</a>.</p> |
| 63 | + |
| 64 | +<h2>Documentation</h2> |
| 65 | +<p>The <a href="docs">h5py user manual</a> is a great place to start; you may also want to check out the <a href="http://github.com/h5py/h5py/wiki/FAQ">FAQ</a>.</p> |
| 66 | +<p>We have a mailing list <a href="http://groups.google.com/group/h5py">at Google Groups</a> for user questions and development.</p> |
| 67 | +<p>The lead developer of h5py also maintains a blog at <a href="http://alfven.org">alfven.org</a>.</p> |
| 68 | +</p> |
| 69 | + |
| 70 | +<br> |
| 71 | + </div> |
| 72 | + |
| 73 | +<p class="footer">Copyright © 2012 <a href="index.html">Andrew Collette & contributers</a><br> |
| 74 | + Based on a template by <a href="http://andreasviklund.com/">Andreas Viklund</a><br> |
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