HydroD Python integration example in Jupyter Notebook
Showcasing FOWT workflow with EMULF and Response Reconstruction
Date: 09 Februrary 2026Examples
The tutorial files contain a Jupyter Notebook that demonstrates how to combine HydroD’s graphical user interface (GUI) with its Python API, enabling you to set up, customize, run, and automate analysis workflows seamlessly across both environments.
The goal of this example is to help you:
- Understand how HydroD can be accessed and manipulated through Python API.
- Learn best practices for integrating Python scripting into your Sesam workflows.
- Explore automation techniques to simplify complex engineering tasks.
The notebook contains two examples:
- Example 1: How to modify the workspace and execute an analysis using Python directly within a Jupyter Notebook.
- Example 2: How to experiment with the Python API, explore its functionality, and create automation scripts to streamline workflows.
How do I get the software and how to get started?
- A Jupyter notebook viewer is required, we recommend using Visual Studio Code. If you have not used Jupyter notebooks in VS Code before, we recommend reading Jupyter Notebooks in VS Code.
After downloading and installing VS Code, please install the following VS Code extensions:- Python Extension – To enhance your Python experience in VS Code.
- Jupyter Notebook Extension – To seamlessly integrate Jupyter notebooks with VS Code.
- Open the Jupyter notebook and follow the instructions described in the notebook.