# \[ANN\] PyTables 3.4.4

**URL:** <https://forum.hdfgroup.org/t/ann-pytables-3-4-4/4526>\
**Category:** HDF5 Ancillary Tools\
**Created:** [June 13, 2018, 10:44am UTC](https://forum.hdfgroup.org/t/ann-pytables-3-4-4/4526 "2018-06-13T10:44:37Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![jsancho](https://forum.hdfgroup.org/letter_avatar_proxy/v4/letter/j/9d8465/32.png) [@jsancho](https://forum.hdfgroup.org/u/jsancho)\
**Post date:** [June 13, 2018, 10:44am UTC](https://forum.hdfgroup.org/t/ann-pytables-3-4-4/4526/1 "2018-06-13T10:44:37Z")

</div>

# Announcing PyTables 3.4.4

We are happy to announce PyTables 3.4.4

# What’s new

This new release of PyTables adds an environment variable to control the use of embedded libraries and fixed test failures with Python 2.7 and NumPy 1.14.3. The release includes many small bugfixes.

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](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:

> **[PyTables/PyTables](https://github.com/PyTables/PyTables/releases/v3.4.4)**
>
> A Python package to manage extremely large amounts of data - PyTables/PyTables

For an online version of the manual, visit:  
[http://www.pytables.org/usersguide/index.html](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](http://www.pytables.org)

About the HDF5 library: [http://hdfgroup.org/HDF5/](http://hdfgroup.org/HDF5/)

About NumPy: [http://numpy.scipy.org/](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