A Python wrapper for Ansys DPF Sound.
Project description
PyAnsys Sound lets you use the main features of Ansys Sound to perform the postprocessing and analysis of sounds and vibrations in Python. This library is based on PyDPF-Core and the DPF Sound plugin. It is a Python wrapper that implements classes on top of DPF Sound operators
Documentation and issues
Documentation for the latest stable release of PyAnsys Sound is hosted at PyAnsys Sound documentation.
The documentation has these sections:
Getting started: Learn how to install PyAnsys Sound in user mode.
User guide: Learn how to start a DPF server, load a signal from a WAV file, and perform operations on the signal.
API reference: Understand how to use Python to interact programmatically with PyAnsys Sound.
Examples: Explore examples that show how to use PyAnsys Sound for various workflows.
Contribute: Learn how to contribute to the PyAnsysSound codebase or documentation.
In the upper right corner of the documentation’s title bar, there is an option for switching from viewing the documentation for the latest stable release to viewing the documentation for the development version or previously released versions.
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