Data Science Tutorials

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.

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.

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

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 what OpenAI's Codex is and how to use it inside ChatGPT to perform coding tasks on a GitHub repository.

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.

Learn how Docker Buildx extends traditional container building with multi-platform support, advanced caching strategies, and performance optimizations. This guide covers everything from basic concepts to advanced techniques.

Learn how to divide numbers, cells, and columns in Excel using simple formulas and tools. Discover how to handle errors, use functions like QUOTIENT and MOD, and ensure results sum to whole numbers when needed.