💥 New Course: Jupyter AI: AI Coding in Notebooks. Taught by Andrew Ng and Brian Granger, co-founder of Project Jupyter. Coding assistants are transforming how we build software—but few work well inside notebook environments. Jupyter AI changes that. In this course, you’ll learn to: - Use Jupyter AI’s chat interface to generate, debug, and explain code directly in notebooks - Build a book research assistant using the Open Library API - Create a stock-market analysis workflow that visualizes and

In case you missed it, earlier this week we launched "Jupyter AI: AI Coding in Notebooks," a short course taught by Andrew Ng and Brian Granger (Co-founder of Project Jupyter) where you'll: 🟠 Use Jupyter AI to generate code, debug errors, and get explanations—all without leaving your notebook environment. 🟠 Build AI applications from scratch, including a book research assistant and a stock data analysis workflow, using Jupyter AI. 🟠 Apply AI coding best practices to guide Jupyter AI with the

Here's a free tutorial that shows how to install, run, and use Jupyter Notebooks for data science, including tips, best practices, and examples. | DataCamp