Best tools for data science

Work with notebooks, code files, consoles, and terminals in a browser-based interactive development environment.

A hosted notebook editor for Python and data work, with SQL cells, collaboration, and interactive reports.

A Python IDE for creating, running, and debugging projects, notebooks, and data applications.

A project-based IDE for writing and running R-centered data work, with support for Python scripts and documents.

A browser-based Python notebook environment that runs on hosted compute and can load or share Jupyter notebooks.

Jupyter-native AI agent that writes, runs, and debugs Python in notebooks.

Coding exercises for data and machine-learning study

Machine learning and AI through recurring editions

A practical R workflow for transforming and visualizing data

A handbook for reproducible and collaborative data science

Data-oriented learning paths including Python and SQL

Data and AI courses organized around career paths