===========================
Announcing PyTables 3.2.0rc2
===========================
We are happy to announce PyTables 3.2.0rc2.
*******************************
IMPORTANT NOTICE:
If you are a user of PyTables, it needs your help to keep going. Please
read the next thread as it contains important information about the
future (or lack of it) of the project:
https://groups.google.com/forum/#!topic/pytables-users/yY2aUa4H7W4
Thanks!
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What's new
==========
This is a major release of PyTables and it is the result of more than a
year of accumulated patches, but most specially it fixes a couple of
nasty problem with indexed queries not returning the correct results in
some scenarios (mainly pandas users). There are many usability and
performance improvements too.
In case you want to know more in detail what has changed in this
version, please refer to: http://www.pytables.org/release_notes.html
You can install it via pip or download a source package with generated
PDF and HTML docs from:
http://sourceforge.net/projects/pytables/files/pytables/3.2.0rc2
For an online version of the manual, visit:
http://www.pytables.org/usersguide/index.html
What it is?
===========
PyTables is a library for managing hierarchical datasets and
designed to efficiently cope with extremely large amounts of data with
support for full 64-bit file addressing. PyTables runs on top of
the HDF5 library and NumPy package for achieving maximum throughput and
convenient use. PyTables includes OPSI, a new indexing technology,
allowing to perform data lookups in tables exceeding 10 gigarows
(10**10 rows) in less than a tenth of a second.
Resources
=========
About PyTables: http://www.pytables.org
About the HDF5 library: http://hdfgroup.org/HDF5/
About NumPy: http://numpy.scipy.org/
Acknowledgments
===============
Thanks to many users who provided feature improvements, patches, bug
reports, support and suggestions. See the ``THANKS`` file in the
distribution package for a (incomplete) list of contributors. Most
specially, a lot of kudos go to the HDF5 and NumPy makers.
Without them, PyTables simply would not exist.
Share your experience
=====================
Let us know of any bugs, suggestions, gripes, kudos, etc. you may have.
----
**Enjoy data!**
-- The PyTables Developers
--------------------------------
Extended deadline: 15th May 2015
--------------------------------
EuroScipy 2015, the annual conference on Python in science will take place in
Cambridge, UK on 26-30 August 2015. The conference features two days of
tutorials followed by two days of scientific talks & posters and an extra day
dedicated to developer sprints. It is the major event in Europe in the field of
technical/scientific computing within the Python ecosystem. Data scientists,
analysts, quants, PhD's, scientists and students from more than 20 countries
attended the conference last year.
The topics presented at EuroSciPy are very diverse, with a focus on advanced
software engineering and original uses of Python and its scientific libraries,
either in theoretical or experimental research, from both academia and the
industry.
Submissions for posters, talks & tutorials (beginner and advanced) are welcome
on our website at http://www.euroscipy.org/2015/ Sprint proposals should be
addressed directly to the organisation at euroscipy-org(a)python.org
Important dates
===============
Mar 24, 2015 Call for talks, posters & tutorials
Apr 30, 2015 Talk and tutorials submission deadline
May 15, 2015 EXTENDED DEADLINE
May 1, 2015 Registration opens
May 30, 2015 Final program announced
Jun 15, 2015 Early-bird registration ends
Aug 26-27, 2015 Tutorials
Aug 28-29, 2015 Main conference
Aug 30, 2015 Sprints
We look forward to an exciting conference and hope to see you in Cambridge
The EuroSciPy 2015 Team - http://www.euroscipy.org/2015/
