Explore Data
Working with Real Datasets in the Browser
Hands-on notebooks for loading, inspecting, filtering, and visualizing data. Everything runs in your browser via JupyterLite — no installation required.
These notebooks run client-side using JupyterLite. They launch instantly, support pandas, plotly, and other core libraries, and maintain state across cells within a session. Your work is not saved when you close the tab — download any notebooks you want to keep.
Notebooks
Hello, World! Get introduced to strings, printing, and the JupyterLite setup. Create and manipulte variables.
Expert Debugger Start handling the most common bugs and syntax issues in Python.
Dataset Basics Loading data, inspecting structure, filtering rows, selecting columns. The foundational operations you’ll use in every analysis.
Visualization Basics Building plots that actually communicate. Choosing the right chart type for your data and question.
Visualization Building Blocks Customizing plots beyond defaults. Layouts, annotations, color, and templates for consistent project visuals.
Image Basics Datapoints -> Pixels -> Images. See how 4 million+ values create a single picture.
What You’ll Need
Comfort with Python basics — variables, functions, loops. If that feels shaky, start with Try Python first.