I'd like to ask if there are any plans on organizing 2nd yt workshop?
It's this time of the year when I need to apply for grants at my
university and I'd very much like to include such event in the
The recent bitbucket update called my attention to JIRA, another
Atlassian product. If you've never heard of it, this video gives a good
summary of what it does:
JIRA is integrated with bitbucket so it should be straightforward to
connect it with our repositories and issue tracking system. Seeing as
how we're going to transition to yt-3.0, which hopefully means that a
lot will be getting done, this will hopefully help keep us organized and
We should qualify for a free open source license:
The recent discussion on yt-users about thin projections makes me
realize that it's not easy to do this with plot window plots.
I could add something analogous to pc.add_thin_projection, e.g.
ThinProjectionPlot which could wrap ProjectionPlot, or I could add a
keyword argument to ProjectionPlot to get the same effect. Does anyone
have an opinion about which approach is better?
I just wanted to write and let you all know that I've really been
blown away by everything that's been going on lately with yt: the
awesome responses on the mailing list, in IRC, ImageArray,
OffAxisProjections, fixing Orion's dx reading, uploading tutorial
notebooks, magnetic fields, grid data format, evangelism, and on and
on. It's really great to see the everybody pulling together.
Thank you, everyone!
If anyone would be willing to test this out, it may be a worthwhile
upgrade. My reading of the release notes is that there are no
---------- Forwarded message ----------
From: Andrew Collette <andrew.collette(a)gmail.com>
Date: Thu, Oct 4, 2012 at 8:20 AM
Subject: ANN: HDF5 for Python (h5py) 2.1.0-final
To: SciPy Users List <scipy-user(a)scipy.org>,
Announcing HDF5 for Python (h5py) 2.1.0
We are proud to announce the availability of HDF5 for Python (h5py)
2.1.0! This release has been a long time coming. Thanks to everyone
who contributed code and filed bug reports!
What's new in h5py 2.1
* The HDF5 Dimension Scales API is now available, along with high-level
integration with Dataset objects. Thanks to D. Dale for implementing this.
* Unicode scalar strings can now be stored in attributes.
* Dataset objects now expose a .size property giving the total number of
* Many performance improvements and bug fixes
About the project
HDF5 for Python (h5py) is a general-purpose Python interface to the
Hierarchical Data Format library, version 5. HDF5 is a mature scientific
software library originally developed at NCSA, designed for the fast,
flexible storage of enormous amounts of data.
>From a Python programmer's perspective, HDF5 provides a robust way to
store data, organized by name in a tree-like fashion. You can create
datasets (arrays on disk) hundreds of gigabytes in size, and perform
random-access I/O on desired sections. Datasets are organized in a
filesystem-like hierarchy using containers called "groups", and
accessed using the traditional POSIX /path/to/resource syntax.
Downloads, FAQ and bug tracker are available at Google Code:
* Google code site: http://h5py.googlecode.com
Documentation is available at Alfven.org:
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I have time series script that iterates over a bunch of simulation outputs, does some analysis, and then dumps a pickle with the results of the analysis. This script works correctly when I loop over the outputs like so:
for pf in ts:
But when I use the piter functionality to loop over the outputs in parallel:
for sto,pf in ts.piter(storage=sto):
do the same stuff
the script will sometimes hang when I run on more than one processor. It's difficult to find exactly where and why it's hanging since the run is distributed - I'd like to be able to reproduce the error to track down why it's happening.
I'm curious if anyone has any tips for debugging parallel operations in yt. I'm not very familiar with the internals of the parallel_objects machinery, so likely places to check or put breakpoints would be very helpful. Also, are there parallel debugging tools for python?
Thanks for your help,
Is there a reason the install script is still on python 2.7.2? If not, I think we should move to 2.7.3 which fixes several bugs. See: http://www.python.org/download/releases/2.7.3/
I would do this myself but I don't have access to the place where we store the bundled distributions on the yt-project website.