Data Science Tutorials

Discover how Excel tables go beyond formatting with powerful features like structured references, automatic expansion, filtering, and integration with PivotTables and charts.

Learn how to fine-tune the Llama 4 Scout Instruct model on a medical reasoning dataset using RunPod GPUs.

Explore the fundamentals of the Pareto distribution and its applications. Learn how this statistical concept can be applied in various fields. Discover practical examples and visual aids to enhance your understanding.

Learn how to deploy and use Meta's LLaMA 4 Scout with vLLM on RunPod for both text completion and multimodal inference.

Learn how to build real-time data processing applications with Kafka Streams. This guide covers core concepts, Java & Python implementations, and step-by-step examples for building scalable streaming applications.

Learn recursion in Python with examples, key concepts, and practical tips. Understand base cases, recursive functions, and when to use recursion over iteration.

Learn how to use Manus AI through five practical examples to help you make the most of your Manus credits.

Learn about Git remotes, their purpose, and how to use them for version control in your project. Includes practical examples.

Learn how to use OpenAI's Responses API to build AI applications with function calling, structured outputs, and built-in tools. A comprehensive guide for developers of all skill levels.

Learn how to activate Excel’s built-in dark mode and create a fully dark spreadsheet experience. Discover tips and workarounds for reducing eye strain and creating a workbook that looks nice.

A practical guide to mastering GitFlow, with hands-on setup, branching strategies, and workflow tips for smoother team collaboration and version control.

Learn how to use cron jobs in data engineering—perfect for automating repetitive tasks, improving reliability, and optimizing workflows.