Jupyter notebooks are a common Python instruction tool. This quick start shows how to use Jupyter notebooks in JupyterLab. 

This script tip is the second of a two part series that covers four examples of Python results for Ansys Mechanical by executing an Iron-python script based on the Data Processing Framework (DPF) post-processing toolbox.

In this post, we cover two examples of Python Results: (1) get the maximum over time of the total deformation; and, (2) get the average total deformation on all time steps.

This PyDPF example shows a simple way to plot a deformation result for four design points (DP) in the same window.

Python is the world’s most popular programming language, and the Python ecosystem contains an abundance of open source code libraries that developers can freely use to create new solutions.

Learn to efficiently combine Mechanical automation scripting and MAPDL scripting for a better post-processing workflow.

This Script Tip Friday is brought to you by Ayush Kumar who is a Senior Application Engineer here at Ansys. Ayush will cover how to plot Stress Gradient on a path normal to the selected face at the selected node using PyDPF.

What is the optimal location to place a component on a Printed Circuit Board (PCB), in terms of its reliability under shock, vibration, and other environmental conditions?

Numbers in Python are quite simple, there are only 3 base numeric types and they can all be combined freely without (inherent) errors. In this post I go over some information you'll probably know and some you might not. Read on for info about numbers!