Next Steps - Python and HDF5 - page 127

CHAPTER 10
Next Steps
Now that you have a firm introduction to HDF5, it's up to you to put that knowledge
to use! Here are some resources to help you on your way.
Asking for Help
The Python community is very open, and this extends to users of h5py, NumPy, and
SciPy. Don't be afraid to ask for help on the h5py ( [e-mail] ), NumPy
( [e-mail] ) , or SciPy ( [e-mail] ) mailing lists. Stack
Overflow is also a great place to ask specific technical questions if you're getting started
with the NumPy world.
You can find technical documentation for h5py, including API reference material, at
www.h5py.org . The HDF Group's website also has an extensive reference manual and
user guide (from a C programmer's perspective).
If you're working on an “application” of HDF5, like EOS5, get in touch with that com‐
munity for more information on how files are structured. For general questions on
HDF5 (as opposed to h5py or Python), you can post to the HDF Group's public forum
at [e-mail] . The HDF Group can also be reached directly for bug
reports, technical questions, and so on at [e-mail] .
Finally, if you're craving more information on using Python for scientific coding, Python
for Data Analysis (McKinney, 2012) is a great place to start. Tutorials and reference
materials are also available on the SciPy website for those seeking a quick introduction
to analysis in Python, or just looking for the fft function.
Contributing
As you continue to use HDF5, you may occasionally have a bug to report or a feature
request. Both the h5py and PyTables projects are on GitHub and welcome user bug