Using the JupyterLab Environment¶ JupyterLab is a modern interactive development environment (IDE) that allows you to work with code, data, and the Jupyter notebook format. Starting with v1.5.0 , the ArcGIS API for Python can be used in JupyterLab for a truly powerful development experience. JupyterLab extensions can customize or enhance any part of JupyterLab. They can provide new themes, file viewers and editors, or renderers for rich outputs in notebooks. Extensions can add items to the menu or command palette, keyboard shortcuts, or settings in the settings system.
JupyterLab TensorBoard is a frontend extension for tensorboard on jupyterlab :). It uses the jupyter_tensorboard project as a tensorboard backend. It helps to collaborate between jupyter notebook and tensorboard (a visualization tool for tensorflow) by providing a graphical user interface for tensorboard start, manage and stop in jupyter interface.
The PIMS version lets you explore the JupyterLab interface, but does not include all the extensions and package we will cover in this workdshop. syzygy.ca is a project of the Pacific Institute for the Mathematical Sciences, Compute Canada and Cybera to bring JupyterLab to researchers, educators and innovators across Canada.