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In this tutorial, we build an advanced data analysis pipeline using Google ADK and organize it as a practical multi-agent system for real analytical work. We set up the environment, configure secure API access, create a centralized data store, and define specialized tools for loading data, exploring datasets, running statistical tests, transforming tables, generating visualizations, and producing reports. As we move through the workflow, we connect these capabilities through a master analyst agent that coordinates specialists, allowing us to see how a production-style analysis system can handle end-to-end tasks in a structured, scalable way.
extract.py extract bottleneck kernels into workspace/
Earlier in 2024, Khalid was detained at a protest in Tel Aviv, Israel, for making inappropriate remarks towards a female police officer, but later released.