[Numpy-discussion] ANN: python-blosc 1.1 RC1 available for testing

Francesc Alted francesc at continuum.io
Fri May 17 14:36:51 EDT 2013


================================
Announcing python-blosc 1.1 RC1
================================

What is it?
===========

python-blosc (http://blosc.pydata.org) is a Python wrapper for the
Blosc compression library.

Blosc (http://blosc.org) is a high performance compressor optimized for
binary data.  It has been designed to transmit data to the processor
cache faster than the traditional, non-compressed, direct memory fetch
approach via a memcpy() OS call.  Whether this is achieved or not
depends of the data compressibility, the number of cores in the system,
and other factors.  See a series of benchmarks conducted for many
different systems: http://blosc.org/trac/wiki/SyntheticBenchmarks.

Blosc works well for compressing numerical arrays that contains data
with relatively low entropy, like sparse data, time series, grids with
regular-spaced values, etc.

There is also a handy command line for Blosc called Bloscpack
(https://github.com/esc/bloscpack) that allows you to compress large
binary datafiles on-disk.  Although the format for Bloscpack has not
stabilized yet, it allows you to effectively use Blosc from your
favorite shell.


What is new?
============

- Added new `compress_ptr` and `decompress_ptr` functions that allows to
   compress and decompress from/to a data pointer.  These are low level
   calls and user must make sure that the pointer data area is safe.

- Since Blosc (the C library) already supports to be installed as an
   standalone library (via cmake), it is also possible to link
   python-blosc against a system Blosc library.

- The Python calls to Blosc are now thread-safe (another consequence of
   recent Blosc library supporting this at C level).

- Many checks on types and ranges of values have been added.  Most of
   the calls will now complain when passed the wrong values.

- Docstrings are much improved. Also, Sphinx-based docs are available
   now.

Many thanks to Valentin Hänel for his impressive work for this release.

For more info, you can see the release notes in:

https://github.com/FrancescAlted/python-blosc/wiki/Release-notes

More docs and examples are available in the documentation site:

http://blosc.pydata.org


Installing
==========

python-blosc is in PyPI repository, so installing it is easy:

$ pip install -U blosc  # yes, you should omit the blosc- prefix


Download sources
================

The sources are managed through github services at:

http://github.com/FrancescAlted/python-blosc


Documentation
=============

There is Sphinx-based documentation site at:

http://blosc.pydata.org/


Mailing list
============

There is an official mailing list for Blosc at:

blosc at googlegroups.com
http://groups.google.es/group/blosc


Licenses
========

Both Blosc and its Python wrapper are distributed using the MIT license.
See:

https://github.com/FrancescAlted/python-blosc/blob/master/LICENSES

for more details.

--
Francesc Alted




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