Training Material

Training Material#

Using the Training Notebooks#

The training pages in the training modules are generated directly from Jupyter notebooks. These notebooks are designed to be templates for your own work — you should never start from scratch. Instead:

  • The notebooks are stored in the DesignSafe Community Data folder.

    • You can run them there, but you cannot save changes in Community Data.

    • Also, some notebooks include inputs such as job definitions or file paths that are specific to my user account.

  • To work effectively, you should copy the notebooks to your own storage (e.g., ~/MyData).

  • Edit, duplicate, or modify the appropriate cells to fit your workflow.

You can recognize a notebook-based page because it has an “Open in DesignSafe” button at the very top. Clicking it will bring you to JupyterHub in DesignSafe, where you’ll be prompted to log in (or create an account). I recommend copying only relevant notebooks in the folder into your path, as I may be editing the existing notebooks or adding new ones.

Python Function Library#

Alongside the notebooks, this training relies on a custom library of Python functions that I have developed. This library is stored in DesignSafe Community Data and is used extensively throughout the modules.

  • You can copy the library directly from Community Data, but I don’t recommend it, since I am continually updating and improving it.

  • Instead, look at the script near the top of any notebook that uses the library — copy that snippet into your own path so you can use a stable version of the library in your work.

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