Data Science Tutorials

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

Learn how to install and use the Google Gemini CLI to streamline your coding workflow and fix bugs faster with AI.

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.

Learn how Devin can help you build a Next.js 14 playground with live Vitest feedback and a NestJS backend that saves user progress using an anonymous UUID in localStorage.

Word clouds are one of the essential visualizations in text analysis. Learn how to create and customize them in Tableau, in simple and easy steps.

Learn how to use the Excel COUNTBLANK() function to quickly identify and count empty cells in your data.

Discover how Delta Tables unify batch and streaming data, boost performance, and simplify analytics in Databricks' lakehouse architecture.

Learn how to use Excel’s COUNT() formula with essential tips, real-world examples, and variations like COUNTA(), COUNTBLANK(), and COUNTIF() to handle different data types and scenarios.

Learn what Pydantic is, what it’s used for, and how it compares to alternatives like Marshmallow or Python’s dataclasses.