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Getting Started with JupyterLab (Beginner Level)


For the last two years the Jupyter team has been working on the new Jupyter frontend: JupyterLab. While JupyterLab does of course allow 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). JupyterLab is based on a flexible application plugin system provided by PhosphorJS that makes it easy to customize existing components or extend it 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. In this tutorial we’ll walk users thought the best way to make use of JupyterLab, how to transition from the “classic” Jupyter Notebook frontend to JupyterLab, and how to make the best use of the new powerful features of JupyterLab.Presenter(s): Speaker: Matthias Bussonnier, Jupyter/Ipython, University of California, Berkeley Speaker: Jason Grout, Bloomberg LP


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