Data Science Tutorials

Learn what Make is, how to use it to create AI agents that automate tasks, and how it compares to n8n.

Learn what Perplexity’s Comet browser is and how to use it through five practical examples you can try yourself.

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.

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.

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 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.

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

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