APIs act as a bridge between two programs, so it's important to understand the philosophy behind PyMAPDL if we hope to build reliable and insightful Python engineering apps with the MAPDL solver.In this video, we’ll discuss the implementation of APDL commands in the python environment and the advantages of calling MAPDL Pythonically.
Download the accompanying Jupyter notebook file here. The student version of Ansys simulation software can be downloaded here.
The full list of APDL commands and their PyMAPDL versions can be found here.
The workshop presented in this video can also be viewed and downloaded using this link.