Data Science Tutorials

Master the basics of the Excel SQRT() function. Learn how to use SQRT() for quick square root calculations and address common errors.

Learn to work with Excel’s AVERAGE() function, including conditional and logical variations.

Learn about Python automation, including fundamental concepts, key libraries, working with data, using AI enhancements, and best practices. Includes real-world examples.

Learn how to use Snowflake's DATEADD function for date manipulation with real-world examples. Master time calculations, handle edge cases, and optimize performance in your SQL queries.

This tutorial shows you how to use Terraform with Azure to automate infrastructure, improve consistency, and implement best practices for secure, scalable deployments.

Learn how to use Python's filter() function to extract items from lists or other iterables. Understand the key differences between filter and similar Python tools.

Learn how to simplify your spreadsheets with LAMBDA(). Write once, reuse anywhere, and combine with other modern Excel functions.

Learn how to install the Gemini CLI on your local machine, how to start a project from scratch or work on an existing one, and more.

Learn how to elevate your data storytelling with Plotly shapes. This guide provides a comprehensive walkthrough for adding and styling annotations in Python, from basic rectangles and lines to advanced interactive geometries.

Learn how to use Devin to add real user auth with NextAuth, monitor errors with Sentry, and deploy the frontend to Vercel with preview URLs.

Discover how Devin can assist in your coding tasks. In this first tutorial, we’ll get started on an existing repo and explore the features available in the Devin environment.

Learn how Devin integrates with teams by managing Jira tickets, updating Slack, and running CI/CD checks with GitHub Actions before merging.