Python Data Agents: Google ADK CSV Processing Guide

The data you already own holds answers you haven’t asked for, if only you had the right tools to extract them. That’s where Google ADK enters the picture. This tutorial doesn’t just teach you to run a pipeline; it shows you how to orchestrate an ensemble of Python agents that treat CSV files like raw material and turn them into statistical insights, visual proofs, and polished reports.

No monolithic scripts, no fragile notebooks. Instead, a master analyst agent delegates tasks to specialists: one loads data, another explores it, a third runs statistical tests, a fourth transforms tables, a fifth generates charts, and a sixth writes the final report. Each agent knows its job.

Together, they form a production-style system that scales. We walk through the entire setup, environment, secure API configuration, centralized data store, and custom tool definitions, so you can see exactly how a coordinated multi-agent workflow executes end-to-end analytical work. The result is a replicable architecture that turns raw CSVs into decision-ready output, one agent at a time.