Data Science Tutorials

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.

Learn how Python's double underscore methods allow your custom objects to work naturally with built-in operations, from printing to arithmetic. Discover how these magic methods simplify class design and unlock powerful behaviors.

Learn how to create and customize Power BI tooltips to reveal deeper insights and improve the report's user experience.

Learn two reliable methods for applying PivotTable conditional formatting and avoid common pitfalls.

Learn about Runway Gen-4’s capabilities through practical examples, and how to work around its limitations by using image generation models from GPT-4o and Gemini.

Learn how to lock all or specific cells in Excel to prevent unwanted changes. Follow detailed steps to protect formulas, enable editing for selected users, and secure your worksheets with passwords.

Discover why Euler’s number is everywhere—from banking and biology to machine learning and meteorology—and how this constant powers continuous growth and change.

Visualize inequality at a glance using the Lorenz curve. Discover how to create and interpret Lorenz curves using Python to analyze inequality across income, crime, and other real-world datasets.