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Good documentation is essential in order to be able to work with self-created libraries and procedures in a future-proof manner. That is why our libraries are documented with videos, examples and automatic documentation in the form of websites with Sphinx. We provide these tools when it comes to innovative work with our data or products. For interactive team work, we use Jupyter notebooks to visualize and share measurement data and prototypes of new processes. Each optimizer comes with an installation of Jupyter Notebook and the common libraries to enable a direct start.

For the presentation and evaluation of prototypes, we use Streamlit and Dash.