Data Science Tutorials

Build a production-ready app with Gemini 3.1 Pro and master the Gemini CLI, custom skills, context and memory control, testing, and Vercel deployment step by step.

Learn how to build a smart logistics agent using Google ADK and MCP servers. Connect BigQuery and Google Maps to automate workflows without custom API code.

A practical guide to installing Docker Compose v2 on Linux, macOS, and Windows - covering both package manager and manual methods, verification steps, upgrades, and troubleshooting common errors.

Learn how the dollar sign locks cell references in Excel formulas so your calculations don't break when copied. Master the difference between relative, absolute, and mixed references.

Learn how to name ranges in Excel using three methods, understand naming rules and scope, manage names effectively, and apply best practices to make your formulas readable and maintainable.

Discover Nanobot, the lightweight OpenClaw alternative. Build a secure, auditable Python AI agent in under 10 minutes with this complete setup guide.

A hands-on Python guide to ByteDance's Seedream 4.5 image model covering batch generation, text rendering, multi-image editing, and prompting best practices.

Discover AI-native workflow automation with Gumloop. Compare it to n8n and Zapier, and build your first LLM-powered research agent with this hands-on guide.

Learn how to create a GraphQL API with TypeScript and MongoDB, a combination that is not only efficient, but extremely easy to work with.

Learn how to use GLM-Image from Z.ai to generate a complete infographic slide deck from a single prompt.

Learn how to run DeepSeek OCR-2 locally with vLLM and build an incremental PDF Q&A system that performs mini-batch OCR, FAISS-based retrieval, and real-time querying with a Gradio interface.

See how increasing model complexity reduces bias but increases variance, creating an unavoidable tension between underfitting and overfitting that determines whether your model generalizes to new data.