[ANN] python-blosc 1.6.2
valentin at haenel.co
Mon Nov 5 15:12:25 EST 2018
Announcing python-blosc 1.6.2
What is new?
The `import numpy` statement in `toplevel.py` has been moved to a later
point. This makes python-blosc usable without needing numpy once again.
This behaviour changed in 1.6.1 and has now been reversed to restore the
For more info, you can have a look at the release notes in:
More docs and examples are available in the documentation site:
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.
The sources and documentation are managed through github services at:
More information about the Python-announce-list