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@@ -65,9 +65,11 @@ For more usage examples see the `demo`_ directory in the source package.
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Installation
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------------
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PyWavelets supports `Python`_ >=3.5, and is only dependent on `Numpy`_
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PyWavelets supports `Python`_ >=3.5, and is only dependent on `NumPy`_
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(supported versions are currently ``>= 1.13.3``). To pass all of the tests,
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`Matplotlib`_ is also required.
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`Matplotlib`_ is also required. `SciPy`_ is also an optional dependency. When
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present, FFT-based continuous wavelet transforms will use FFTs from SciPy
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rather than NumPy.
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There are binary wheels for Intel Linux, Windows and macOS / OSX on PyPi. If
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you are on one of these platforms, you should get a binary (precompiled)
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and documentation improvements are welcome. Moreover, developers with an
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interest in PyWavelets are very welcome to join the development team!
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As of 2019, PyWavelets development is supported in part by Tidelift.
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`Help support PyWavelets with the Tidelift Subscription <https://tidelift.com/subscription/pkg/pypi-pywavelets?utm_source=pypi-pywavelets&utm_medium=referral&utm_campaign=readme>`_
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Contact
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-------
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Use `GitHub Issues`_ or the `mailing list`_ to post your comments or questions.
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**Report a security vulnerability:** https://tidelift.com/security
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License
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-------
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PyWavelets is a free Open Source software released under the MIT license.
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If you wish to cite PyWavelets in a publication, you may use the following DOI.
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If you wish to cite PyWavelets in a publication, please use the following
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