Data Science Tutorials

Learn how to run Kimi K2 on a single A100 GPU with 250GB RAM using llama.cpp.

Easily separate text into columns or rows in Excel using the TEXTSPLIT() function.

Learn how to make the most of Grok 4 through seven practical examples you can try in the chat interface.

Explore PySpark’s groupBy method, which allows data professionals to perform aggregate functions on their data. This is a powerful way to quickly partition and summarize your big datasets, leveraging Spark’s powerful techniques.

Learn how to seamlessly integrate Tableau with Excel to transform static spreadsheets into powerful, interactive dashboards. Boost insights, streamline analysis, and improve your data-driven decisions.

Learn how to install MongoDB on Ubuntu, configure the service, and verify the setup in this beginner-friendly tutorial.

Learn how to use Excel’s MEDIAN() function to find the middle value in a dataset. Compare it with AVERAGE(), handle common quirks, and apply it your own work.

Learn about the key differences between Cursor and Cline to decide which tool best suits your project, budget, and preferred workflow.

Building, Testing, and Integrating the ArXiv Explorer MCP Server.

A complete hands-on guide to Docker networks, including network drivers, IP management, Swarm overlay setup, and performance tuning for scalable, secure containerized systems.

Master LangGraph fundamentals — state, nodes, edges, memory — and build scalable AI agents with ReAct patterns, custom tools, and persistent state management.

Learn to distinguish sensitivity and specificity, and appropriate use cases for each. Includes practical examples.