Dear all,

On behalf of the PyWavelets development team I'm excited to announce the availability of PyWavelets 0.3.0. This is the first release of the package in 3 years. It is the result of a significant effort of a growing development team to modernize the package, to provide Python 3.x support and to make a start with providing new features as well as improved performance. A 0.4.0 release will follow shortly, and will contain more significant new features as well as changes/deprecations to streamline the API.

This release requires Python 2.6, 2.7 or 3.3-3.5 and Numpy 1.6.2 or greater. Sources and release notes can be found on https://pypi.python.org/pypi/PyWavelets and https://github.com/PyWavelets/pywt/releases.

Activity on the project is picking up quickly. If you're interested in wavelets in Python, you are welcome and invited to join us at https://github.com/PyWavelets/pywt

Enjoy, Ralf

============================== PyWavelets 0.3.0 Release Notes ==============================

PyWavelets 0.3.0 is the first release of the package in 3 years. It is the result of a significant effort of a growing development team to modernize the package, to provide Python 3.x support and to make a start with providing new features as well as improved performance. A 0.4.0 release will follow shortly, and will contain more significant new features as well as changes/deprecations to streamline the API.

This release requires Python 2.6, 2.7 or 3.3-3.5 and NumPy 1.6.2 or greater.

Highlights of this release include:

- Support for Python 3.x (>=3.3) - Added a test suite (based on nose, coverage up to 61% so far) - Maintenance work: C style complying to the Numpy style guide, improved templating system, more complete docstrings, pep8/pyflakes compliance, and more.

New features ============

Test suite ----------

The test suite can be run with ``nosetests pywt`` or with::

>>> import pywt >>> pywt.test()

n-D Inverse Discrete Wavelet Transform --------------------------------------

The function ``pywt.idwtn``, which provides n-dimensional inverse DWT, has been added. It complements ``idwt``, ``idwt2`` and ``dwtn``.

Thresholding ------------

The function `pywt.threshold` has been added. It unifies the four thresholding functions that are still provided in the ``pywt.thresholding`` namespace.

Backwards incompatible changes ==============================

None in this release.

Other changes =============

Development has moved to `a new repo https://github.com/PyWavelets/pywt`_. Everyone with an interest in wavelets is welcome to contribute!

Building wheels, building with ``python setup.py develop`` and many other standard ways to build and install PyWavelets are supported now.

Authors =======

* Ankit Agrawal + * François Boulogne + * Ralf Gommers + * David Menéndez Hurtado + * Gregory R. Lee + * David McInnis + * Helder Oliveira + * Filip Wasilewski * Kai Wohlfahrt +

A total of 9 people contributed to this release. People with a "+" by their names contributed a patch for the first time. This list of names is automatically generated, and may not be fully complete.