<div class="socmaildefaultfont" dir="ltr" style="font-family:Arial, Helvetica,
sans-serif;font-size:10pt" ><div dir="ltr" ><div>Hello, all!</div>
<div> </div>
<div>I’m thrilled to announce that a new major release of User-Defined
Functions for HDF5 is now available. HDF5-UDF is a tool that allows embedding
routines written in C/C++, Python, and Lua on HDF5 files in a way that such
routines execute each time the dataset behind that UDF is read.</div>
<div> </div>
<div>The two highlights of this release are:</div>
<div> </div>
<div>1. UDF signing: datasets are now signed when saved to HDF5. When a user
reads that UDF dataset for the first time, we extract and associate the public
key behind that UDF to a trust profile that limits which system calls that UDF
can execute – and which file system paths it can access.</div>
<div> </div>
<div>2. HDF5-UDF is now available as a library and comes with Python bindings
that let you write and store UDFs from Jupyter Notebooks and regular Python
scripts.</div>
<div> </div>
<div>Also worth mentioning: we now have a more structured documentation at <a
href="https://hdf5-udf.readthedocs.io/en/latest";
>https://hdf5-udf.readthedocs.io/en/latest</a> that should serve as a good
landing point. More details about the project along with download pointers and
installation instructions can be found on our GitHub page at <a
href="https://github.com/lucasvr/hdf5-udf";
>https://github.com/lucasvr/hdf5-udf</a></div>
<div> </div>
<div>Have fun!</div>
<div>Lucas</div></div></div><BR>
