Re: [Numpy-discussion] ANN: HDF5 for Python 2.5.0

2015-04-09 Thread Andrew Collette
 Congrats! Also btw, you might want to switch to a new subject line format
 for these emails -- the mention of Python 2.5 getting hdf5 support made me
 do a serious double take before I figured out what was going on, and 2.6 and
 2.7 will be even worse :-)

Ha!  Didn't even think of that.  For our next release I guess we'll
have to go straight to h5py 3.5.

Andrew
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Re: [Numpy-discussion] ANN: HDF5 for Python 2.5.0

2015-04-09 Thread Nathaniel Smith
(Off-list)

Congrats! Also btw, you might want to switch to a new subject line format
for these emails -- the mention of Python 2.5 getting hdf5 support made me
do a serious double take before I figured out what was going on, and 2.6
and 2.7 will be even worse :-)
On Apr 9, 2015 2:07 PM, Andrew Collette andrew.colle...@gmail.com wrote:

 Announcing HDF5 for Python (h5py) 2.5.0
 

 The h5py team is happy to announce the availability of h5py 2.5.0.

 This release introduces experimental support for the highly-anticipated
 Single Writer Multiple Reader (SWMR) feature in the upcoming HDF5 1.10
 release.  SWMR allows sharing of a single HDF5 file between multiple
 processes without the complexity of MPI or multiprocessing-based
 solutions.

 This is an experimental feature that should NOT be used in production
 code. We are interested in getting feedback from the broader community
 with respect to performance and the API design.

 For more details, check out the h5py user guide:
 http://docs.h5py.org/en/latest/swmr.html

 SWMR support was contributed by Ulrik Pedersen.


 What's h5py?
 

 The h5py package is a Pythonic interface to the HDF5 binary data format.

 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.

 Documentation is at:

 http://docs.h5py.org


 Changes
 ---

 * Experimental SWMR support
 * Group and AttributeManager classes now inherit from the appropriate ABCs
 * Fixed an issue with 64-bit float VLENS
 * Cython warning cleanups related to const
 * Entire code base ported to six; 2to3 removed from setup.py


 Acknowledgements
 ---

 This release incorporates changes from, among others:

 * Ulrik Pedersen
 * James Tocknell
 * Will Parkin
 * Antony Lee
 * Peter H. Li
 * Peter Colberg
 * Ghislain Antony Vaillant


 Where to get it
 ---

 Downloads, documentation, and more are available at the h5py website:

 http://www.h5py.org
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[Numpy-discussion] ANN: HDF5 for Python 2.5.0

2015-04-09 Thread Andrew Collette
Announcing HDF5 for Python (h5py) 2.5.0


The h5py team is happy to announce the availability of h5py 2.5.0.

This release introduces experimental support for the highly-anticipated
Single Writer Multiple Reader (SWMR) feature in the upcoming HDF5 1.10
release.  SWMR allows sharing of a single HDF5 file between multiple
processes without the complexity of MPI or multiprocessing-based
solutions.

This is an experimental feature that should NOT be used in production
code. We are interested in getting feedback from the broader community
with respect to performance and the API design.

For more details, check out the h5py user guide:
http://docs.h5py.org/en/latest/swmr.html

SWMR support was contributed by Ulrik Pedersen.


What's h5py?


The h5py package is a Pythonic interface to the HDF5 binary data format.

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.

Documentation is at:

http://docs.h5py.org


Changes
---

* Experimental SWMR support
* Group and AttributeManager classes now inherit from the appropriate ABCs
* Fixed an issue with 64-bit float VLENS
* Cython warning cleanups related to const
* Entire code base ported to six; 2to3 removed from setup.py


Acknowledgements
---

This release incorporates changes from, among others:

* Ulrik Pedersen
* James Tocknell
* Will Parkin
* Antony Lee
* Peter H. Li
* Peter Colberg
* Ghislain Antony Vaillant


Where to get it
---

Downloads, documentation, and more are available at the h5py website:

http://www.h5py.org
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Re: [Numpy-discussion] ANN: HDF5 for Python 2.5.0

2015-04-09 Thread Derek Homeier
On 9 Apr 2015, at 9:41 pm, Andrew Collette andrew.colle...@gmail.com wrote:
 
 Congrats! Also btw, you might want to switch to a new subject line format
 for these emails -- the mention of Python 2.5 getting hdf5 support made me
 do a serious double take before I figured out what was going on, and 2.6 and
 2.7 will be even worse :-)
 
 Ha!  Didn't even think of that.  For our next release I guess we'll
 have to go straight to h5py 3.5.

You may have to hurry though ;-)
Monday, March 30, 2015
Python 3.5.0a3 has been released.   This is the third alpha release of Python 
3.5, which will be the next major release of Python.  Python 3.5 is still under 
heavy development and is far from complete.”

3 alpha releases in 7 weeks…

On a more serious note though, h5py 2.5.x in the subject would be perfectly 
clear enough,
I think, and also help to distinguish from pytables releases.

Derek
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Re: [Numpy-discussion] ANN: HDF5 for Python 2.5.0

2015-04-09 Thread josef.pktd
On Thu, Apr 9, 2015 at 2:41 PM, Nathaniel Smith n...@pobox.com wrote:
 (Off-list)

 Congrats! Also btw, you might want to switch to a new subject line format
 for these emails -- the mention of Python 2.5 getting hdf5 support made me
 do a serious double take before I figured out what was going on, and 2.6 and
 2.7 will be even worse :-)

(offlist)
I also had to read the subject line and the first paragraph several
times to see who is using python 2.5

Josef
:}



 On Apr 9, 2015 2:07 PM, Andrew Collette andrew.colle...@gmail.com wrote:

 Announcing HDF5 for Python (h5py) 2.5.0
 

 The h5py team is happy to announce the availability of h5py 2.5.0.

 This release introduces experimental support for the highly-anticipated
 Single Writer Multiple Reader (SWMR) feature in the upcoming HDF5 1.10
 release.  SWMR allows sharing of a single HDF5 file between multiple
 processes without the complexity of MPI or multiprocessing-based
 solutions.

 This is an experimental feature that should NOT be used in production
 code. We are interested in getting feedback from the broader community
 with respect to performance and the API design.

 For more details, check out the h5py user guide:
 http://docs.h5py.org/en/latest/swmr.html

 SWMR support was contributed by Ulrik Pedersen.


 What's h5py?
 

 The h5py package is a Pythonic interface to the HDF5 binary data format.

 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.

 Documentation is at:

 http://docs.h5py.org


 Changes
 ---

 * Experimental SWMR support
 * Group and AttributeManager classes now inherit from the appropriate ABCs
 * Fixed an issue with 64-bit float VLENS
 * Cython warning cleanups related to const
 * Entire code base ported to six; 2to3 removed from setup.py


 Acknowledgements
 ---

 This release incorporates changes from, among others:

 * Ulrik Pedersen
 * James Tocknell
 * Will Parkin
 * Antony Lee
 * Peter H. Li
 * Peter Colberg
 * Ghislain Antony Vaillant


 Where to get it
 ---

 Downloads, documentation, and more are available at the h5py website:

 http://www.h5py.org
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Re: [Numpy-discussion] ANN: HDF5 for Python 2.5.0

2015-04-09 Thread Nathaniel Smith
On Apr 9, 2015 2:41 PM, Nathaniel Smith n...@pobox.com wrote:

 (Off-list)

Doh, we do reply-to munging, don't we. Oh well.

-n
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