Data Science Tutorials

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.

Learn what Chainlit is, how to install it, and how to run it to build interactive interfaces for LLM-powered applications.

Develop a multi-tool agent application using LangGraph, Tavily, Python tool, and Mistral AI API in the DataLab environment.

A step-by-step guide to fine-tuning the state-of-the-art Phi-4 Reasoning model on the finance Q&A dataset in under 10 minutes.

Learn how to properly use Docker without sudo, while keeping your systems secure.

Learn how to supercharge your containerization workflow with Docker build arguments for flexible, secure, and consistent environments.

Learn how to use OpenAI's Codex software engineering agent to fix bugs, explain code, and generate pull requests directly from ChatGPT.

Learn what R-squared means in regression analysis, how to calculate it, and when to use it to evaluate model performance. Compare it to related metrics with examples in R and Python.