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Releases: h5py/h5py

3.3.0

22 Jun 12:06
@takluyver takluyver
3.3.0
cc34c58
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3.3.0 
Merge pull request #1911 from takluyver/rever-3.3

Prepare to release 3.3.0
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3.2.1

05 Mar 10:04
@takluyver takluyver
3.2.1
7f91885
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3.2.1 
Merge pull request #1845 from takluyver/rever-3.2.1

Prepare for 3.2.1 release
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3.2.0

03 Mar 09:29
@takluyver takluyver
3.2.0
c616b0f
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3.2.0 
Merge pull request #1834 from takluyver/rever-3.2

Prepare for 3.2 release
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3.1.0

06 Nov 14:26
@takluyver takluyver
3.1.0
ed3abbf
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3.1.0 
Merge pull request #1744 from takluyver/rever-3.1

Prepare for 3.1 release
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3.0.0

30 Oct 14:54
@takluyver takluyver
3.0.0
e14f47a
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3.0.0

https://docs.h5py.org/en/latest/whatsnew/3.0.html

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3.0.0rc1

10 Oct 11:19
@takluyver takluyver
3.0.0rc1
a8e82bc
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3.0.0rc1 Pre-release
Pre-release 
Merge pull request #1695 from takluyver/rever-3.0

Preparation for 3.0.0rc1
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2.10.0

06 Sep 22:48
@scopatz scopatz
2.10.0
1156f5a
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2.10.0 
Updated CHANGELOG for 2.10.0
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REL: 2.9.0

20 Dec 03:03
@tacaswell tacaswell
2.9.0
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REL: 2.9.0 
This is the first release of the h5py 2.9 series

This release support Python 2.7 and Python 3.4-3.7

Features:
 - Convenient high-level API for creating virtual datasets
 - Construct an h5py.File from a python file-like object
 - File now takes parameters for controlling the chunk cache
 - Option to preserve insertion order of attribute and group entries
 - Can now create datasets backed by external non-HDF5 files
 - List and tuples of rriunicode strings can be stored as HDF5 attributes

Bug fixes:
 - Fix reading/writing of float128 data
 - Fix converting data to float16 when creating a dataset

Support for old Python
 - Drops support for Python 3.3
 - Drops support for Python 2.6
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REL: 2.9.0rc1

08 Dec 03:51
@tacaswell tacaswell
2.9.0rc1
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REL: 2.9.0rc1 Pre-release
Pre-release 
The first RC for 2.9.0
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REL: 2.8.0

14 May 00:52
@tacaswell tacaswell
2.8.0
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REL: 2.8.0 
This is the first release of the h5py 2.8 series

Features
 - allow registration of new drivers
 - add option to track object creation order

Bug fixes
 - allow slices with stop < start as empty
 - improve building with custom hdf5 installation
 - ensure libver defaults to LIBVER_EARLIEST
 - improve handling of float types
 - support non-ascii external paths on py2
 - avoid crashing IPython auto-completer

API changes
 - deprecate ``h5t.available_ftypes``.  This is no longer
   used internally and will be removed in the future.  There is
   no replacement public API.
 - Do not sort fields in compound types.  This is account for changes
   in numpy 1.14.
 - Minimum version of cython is now 0.23

Wheels hdf5 version
 - Wheels upload to pypi will be built against hdf5 1.10.2
Assets 2
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