Documentation

The Run All feature in the AI Notebook allows users to execute all cells within a notebook automatically with a single click. This functionality is designed to streamline workflows by eliminating the need to manually run each cell sequentially.

How Does It Work?

To use it, simply follow the steps outlined below:

1. Open your AI Notebook.
2. Ensure that all cells are correctly set up with the necessary code or configurations.
3. Locate and click the Run All button at the top of the notebook interface. This action will initiate the execution of all cells from top to bottom.

Use Cases

Creating and Running a New Recipe

Customize a recipe from the AI Notebook Starter Pack to meet specific analytical needs.

‍Steps:

1. Select a recipe from the AI Notebook Starter Pack.
2. Modify the recipe parameters and rules to align with your specific objectives.
3. Once adjustments are made, click the Run All button to execute the entire notebook in one go.

Watch the video about naming convention preparation and parsing use cases. It is now very simple to create complex data transformations with our recipe templates and run all features.

Updating Notebook Data

Refresh all data in your notebook to reflect the most current information available.

‍Steps:

1. Open the notebook that contains previously configured analyses or data flows.
2. Make any necessary changes to the data or notebook logic to apply new conditions.
3. Click the Run All button to re-run all cells, thereby refreshing the analysis with the latest data.

By following these guidelines, you can effectively leverage the Run All feature to enhance efficiency and streamline your data analysis processes in the AI Notebook environment.

Conclusion

The Run All feature offers a straightforward yet powerful solution for automating notebook execution. By minimizing manual intervention, it not only saves time but also reduces the risk of errors, ensuring that your analysis remains consistent and up-to-date. Embrace this feature to optimize your workflow and achieve a smoother, more efficient data processing experience.