Custom Operators and Plugins#
You can enhance and customize your DPF installation by creating new operators and libraries of operators, called ‘plugins’. PyDPF-Core becomes a development tool offering accessible, componentized, and easily distributable custom operators.
Note
You can create custom operators in CPython using PyDPF-Core for use with DPF in Ansys 2023 R1 and later.
This tutorial shows how to create, load, and use a custom plugin containing a single custom operator.
This tutorial shows how to use the DPF logging API to emit debug and error messages from within a custom Python operator or plugin.
This tutorial shows how to create, load, and use a custom plugin with multiple operators or with complex routines.
This tutorial shows how to create a Python plug-in package with third-party dependencies.
This tutorial shows how to update PyDPF-Core in your DPF installation.
