Indeed it was 1.2.4 the version just released and not 1.2.7. Sorry for the typo!
Francesc On 7/7/14, 8:20 PM, Francesc Alted wrote: > ============================= > Announcing python-blosc 1.2.4 > ============================= > > What is new? > ============ > > This is a maintenance release, where included c-blosc sources have been > updated to 1.4.0. This adds support for non-Intel architectures, most > specially those not supporting unaligned access. > > For more info, you can have a look at the release notes in: > > https://github.com/Blosc/python-blosc/wiki/Release-notes > > 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 is the first compressor that is meant not only to reduce the size > of large datasets on-disk or in-memory, but also to accelerate object > manipulations that are memory-bound > (http://www.blosc.org/docs/StarvingCPUs.pdf). See > http://www.blosc.org/synthetic-benchmarks.html for some benchmarks on > how much speed it can achieve in some datasets. > > 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. > > There is also a handy command line and Python library for Blosc called > Bloscpack (https://github.com/Blosc/bloscpack) that allows you to > compress large binary datafiles on-disk. > > > Installing > ========== > > python-blosc is in PyPI repository, so installing it is easy: > > $ pip install -U blosc # yes, you should omit the python- prefix > > > Download sources > ================ > > The sources are managed through github services at: > > http://github.com/Blosc/python-blosc > > > Documentation > ============= > > There is Sphinx-based documentation site at: > > http://python-blosc.blosc.org/ > > > Mailing list > ============ > > There is an official mailing list for Blosc at: > > bl...@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/Blosc/python-blosc/blob/master/LICENSES > > for more details. > > ---- > > **Enjoy data!** > -- Francesc Alted _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
