Getting started

The PyAnsys project exposes Ansys technologies in client libraries within the Python ecosystem. Each library provides clear, concise, and maintainable APIs. Useful Pythonic functions, classes, and plugins provide for interacting with targeted products and services in a high-level, object-orientated approach.

The PyAnsys ecosystem refines the component-level interaction with Ansys solvers and tools. It also eliminates the inconsistent and restrictive scripting environments found within product installations. For more information, see Componentizing Ansys packages.

Additionally, libraries play vital roles in key simulation tasks, including these:

• Application automation

• Machine learning

• Postprocessing

• Data visualization

• Workflow orchestration

• Data manipulation and export

Libraries also include plugins and interfaces to packages in the vast Python ecosystem. Here are some examples:

• Arrays using NumPy

• Data structures and tables using pandas

• 2D visualization using Matplotlib

• 3D visualization using PyVista

• Advanced scientific computing using SciPy

• Machine learning using TensorFlow

Note

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