Students should bring a laptop with one of the following operating systems:
- Windows 7/8/10
- Ubuntu LTS
- Mac OSX
Students should have the following software tools installed and ready to go:
- Git (https://git-scm.com/)
- Node 8 LTS (https://nodejs.org/en/)
- Visual Studio Code (https://code.visualstudio.com/)
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 is a software architect for Project Jupyter.
Ian Rose is as postdoctoral fellow at the Berkeley Institute for Data Science, where he works on the Jupyter Project. He holds a PhD in geology from UC Berkeley, where his research focused on the physics of the deep Earth.
Saul Shanabrook is a software developer at Quansight.
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