User guide#

DPF provides numerical simulation users and engineers with a toolbox for accessing and transforming data.

PyDPF-Core is a Python client API for accessing DPF capabilities. The ansys.dpf.core package makes highly efficient computation, customization, and remote data processing accessible in Python.

Note

Looking for an introduction? If you are new to DPF, the DPF Onboarding guide provides step-by-step instructions for setup and basic concepts.

The goals of this section are to:

  • Describe some DPF entities and how they can help you to access and modify solver data.

  • Explain how to resolve the most common issues encountered when using PyDPF-Core

Concepts#

This section provides in-depth descriptions and explanations of DPF concepts, including terminology.

Concepts and terminology
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Terms and concepts
Ways of using DPF
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DPF capabilities and scripting languages
Using DPF: Step by step
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DPF usage

Troubleshooting#

Server issues
Server issues
Model issues
Model issues
Plotting issues
Plotting issues
Performance issues
Performance issues