Use the scripting capabilities of PyMechanical for workflows that extend beyond a single run: parametric studies with dozens of variants, results feeding into a CI/CD pipeline, overnight batch solves, or shared setups that a teammate can reproduce without a walkthrough.

When we sought user scripting tips and tricks for PyAnsys our customers, partners, and users responded with some excellent work. This article covers two stand-out examples.

This article explores using open-source Ansys SCADE Actions for GitHub. We set up and run a GitHub Actions pipeline on the Cruise Control example model provided with the SCADE Suite product, using a self-hosted runner to perform automated actions.

This article walks through implementing CI/CD (Continuous Integration / Continuous Delivery) practice on software developed with SCADE Suite.

This cheat sheet helps python users looking to manipulate the geometry panel view within Ansys Mechanical.

PyFluent is a Python library of remotable APIs for interacting with Ansys Fluent. PyFluent provides an interface for automating, customizing, and streamlining CFD workflows using the flexibility and power of Python.

This example demonstrates the creation of a complete Mechanical Extension to showcase the use of Ansys scripting capabilities for calculating residual hotspots in the Additive Manufacturing Direct Energy Deposition (DED) process.

This article concludes a ten-part series on classes in python. The final topic covers inheritance, focusing on 'subclassing' and inheriting.

As our series on python classes continues we will delve into a simple example of how to leverage two dunder methods covered in the previous article, which are used "under the hood" to perform much of the day-to-day business logic in Python.