Groups | Search | Server Info | Keyboard shortcuts | Login | Register [http] [https] [nntp] [nntps]

Groups > comp.lang.python.announce > #2399 > unrolled thread

ANN: python-blosc 1.5.0 released

Back to article view | Back to comp.lang.python.announce

This discussion starts older than the indexed window; earlier articles aren't shown. The article labeled Started by below is the oldest one visible, not the original post.

Contents

  ANN: python-blosc 1.5.0 released Francesc Alted <faltet@gmail.com> - 2017-02-08 14:07 +0100

#2399 — ANN: python-blosc 1.5.0 released

=============================
Announcing python-blosc 1.5.0
=============================

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

A new `blosc.set_releasegil()` function that allows to release/acquire
the GIL at will.  Thanks to Robert McLeod.

Also, C-Blosc has been updated to 1.11.2.

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!**

-- 
Francesc Alted

[toc] | [standalone]

Back to top | Article view | comp.lang.python.announce

csiph-web