Data Science Tutorials

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 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.