In-Person Training
JupyterLab training

JupyterLab is the newly released Jupyter frontend. While JupyterLab allows the use of Jupyter notebooks, it goes beyond the classic Jupyter Notebook by providing a flexible and extensible web application with a set of reusable components. Users can arrange multiple notebooks, text editors, terminals, output areas, and custom components using tabs and collapsible sidebars. These components are carefully designed to enable the user to use them together or separately (for example, a user can send code from a file to a console with a keystroke or can pop out an output from a notebook to work with it alone). Custom components are first-class citizens and can be added or replaced to suit custom business needs.

JupyterLab is based on a flexible application plugin system provided by PhosphorJS that makes it easy to customize existing components or extend your project with new components. For example, users can install or write third-party plugins to view custom file formats, such as GeoJSON, interact with external services, such as Dask or Apache Spark, or display their data in effective and useful ways, such as interactive maps, tables, or plots.

Chris Colbert, Ian Rose, and Saul Shanabrook walk you through using, extending, and developing custom components for JupyterLab using PhosphorJS, React, JavaScript, TypeScript, and CSS. You’ll learn how to make full use of the power features of JupyterLab, customize it to your needs, and develop custom extensions, making complete use of JupyterLab’s current capabilities.