Data Science Tutorials

Learn how to build an Android app that uses Google's Gemma 3n to answer questions about images directly on your phone, without needing a cloud connection.

Explore Claude Sonnet 4’s developer features—code execution, files API, and tool use—by building a Python-based math-solving agent.

Plan, build, test, and deploy a machine learning project from scratch using the Claude Opus 4 model with Claude Code.

Learn how to add numbers in Excel using built-in tools. Explore multiple methods for quick calculations, including formulas, keyboard shortcuts, and table formatting.

Learn how to use Veo 3 to create a spec ad, maintain character consistency across different shots, and gain modular control with the Ingredients feature.

Learn how to build multi-agent AI applications with Autogen Studio, Autogen AgentChat, Autogen Core, and Autogen Extensions.

Learn how to use Devstral with Mistral Inference locally and with OpenHands using the Mistral AI API.

Learn how to build and deploy your first AWS CDK stack using Python. This beginner-friendly guide covers setup, constructs, deployment, testing, and CI/CD.

Master Docker ENTRYPOINT with exec vs. shell syntax, CMD usage, runtime overrides, and real-world examples. Build clearer, more reliable containers today.

Learn how to create, optimize, and use PySpark UDFs, including Pandas UDFs, to handle custom data transformations efficiently and improve Spark performance.

Learn what Langflow is, how to install it, and how to build simple and custom AI agent workflows using Python.

This guide shows you how to deploy, manage, and optimize applications using Azure App Service—with practical tips for security, scaling, and cost-saving.