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Overview of Postprocessing Workshop

This part of the workshop introduces the postprocessing methodologies used for the VIVA+ model. For the simulation assessment, Dynasaur is used. It extends the Python programming language and thus can be used in Jupyter Notebook, which is a very nice tool, capable to visualize data along with a written documentation.

In this part of the workshop our aim is to introduce new users to the work with Jupyter Notebook and the use of Dynasaur to assess simulated results.

In this workshop, you will learn

  • how to use Jupyter Notebook to document your simulation
  • how the Dynasaur controller classes can be used for HBM assessment
  • how to visualize simulation results and communicate your updates to VIVA+ model

The workshop is not meant to be a programming tutorial. It should give you, however, a notion how easy model changes can be tracked and documented using Python and Jupyter Notebook.

Getting started with Python

If you are new Python, here are few resources to get started