Data Science Tutorials

Learn how to automate data extraction from emails and PDFs using Google Apps Script and the Gemini API. Build a serverless pipeline to Google Sheets today.

Learn how to build an enterprise AI assistant in Python using Google Workspace MCP Servers and the Agent Development Kit to connect LLMs to your live data.

Learn how to use Excel's XLOOKUP() function with step-by-step examples. We cover the syntax, exact and approximate matches, multi-column returns, and how to fix common errors.

Learn how to transition from subscription-based access to the Claude API to ensure uninterrupted use of Claude for your autonomous coding projects.

Learn how to use Excel What-If Analysis tools to test assumptions, compare scenarios, and model different outcomes without changing your original data.

Set up Kimi K2.7 Code with Pi, research skills, current documentation, persistent memory, browser testing, and practical CLIs to build and publish tested data-science projects.

Discover role-based access control (RBAC) in MongoDB in managing users and roles, creating custom roles, and enforcing least-privilege policies for deployments.

Read this Claude Code connector tutorial to set up GitHub via MCP. Learn to automate open-source issue triage in 20 minutes using read-only local files.

Build a Claude Managed Agent with Anthropic’s Python SDK, cloud sandbox, tools, skills, file uploads, session management, code execution, and automated Excel report generation.

Run Qwythos 9B locally with llama.cpp and Hermes Agent for fast, private AI coding, browser chat, Discord automation, and local tool use.

Build a Python voice agent with the same API used by Grok Voice Agent Builder: WebSocket setup, audio streaming, tool calling, cost tracking, and a FastAPI endpoint.

A practical walkthrough of Claude Code's security model, covering permission rules, MCP controls, sandboxing, and the team-level governance that keeps an AI coding agent from doing more than you intended.