[ANN] python-blosc 1.6.1
Valentin Haenel
valentin at haenel.co
Sun Oct 21 13:29:39 EDT 2018
=============================
Announcing python-blosc 1.6.1
=============================
What is new?
============
C-Blosc has been updated to 1.14.3. Additionally there have been a
number of improvments such as not compiling snappy by default and the
implementation of the `get_blocksize()` function.
For more info, you can have a look at the release notes in:
https://github.com/Blosc/python-blosc/blob/master/RELEASE_NOTES.rst
More docs and examples are available in the documentation site:
http://python-blosc.blosc.org
What is it?
===========
Blosc (http://www.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. 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.
python-blosc (http://python-blosc.blosc.org/) is the Python wrapper for
the Blosc compression library, with added functions (`compress_ptr()`
and `pack_array()`) for efficiently compressing NumPy arrays, minimizing
the number of memory copies during the process. python-blosc can be
used to compress in-memory data buffers for transmission to other
machines, persistence or just as a compressed cache.
There is also a handy tool built on top of python-blosc called Bloscpack
(https://github.com/Blosc/bloscpack). It features a commmand line
interface that allows you to compress large binary datafiles on-disk.
It also comes with a Python API that has built-in support for
serializing and deserializing Numpy arrays both on-disk and in-memory at
speeds that are competitive with regular Pickle/cPickle machinery.
Sources repository
==================
The sources and documentation are managed through github services at:
http://github.com/Blosc/python-blosc
----
**Enjoy data!**
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