ANN: PyTables 3.3.0

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ANN: PyTables 3.3.0

Tom Kooij
 Announcing PyTables 3.3.0

We are happy to announce PyTables 3.3.0.

What's new

- Single codebase Python 2 and 3 support (PR #493).
- Internal Blosc version updated to 1.11.1 (closes :issue:`541`)
- Full BitShuffle support for new Blosc versions (>= 1.8).
- It is now possible to remove all rows from a table.
- It is now possible to read reference types by dereferencing them as
  numpy array of objects (closes :issue:`518` and :issue:`519`).
  Thanks to Ehsan Azar
- Fixed Windows 32 and 64-bit builds.

In case you want to know more in detail what has changed in this

You can install it via pip or download a source package with generated
PDF and HTML docs from:

For an online version of the manual, visit:

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.


About PyTables: http://www.pytables.org

About the HDF5 library: http://hdfgroup.org/HDF5/


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

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