🤹Jupyter

Jupyter Notebook is a web-based interactive environment for writing and running code. The main building blocks of Jupyter are the file-browser, the notebook editor, and kernels. The file-browser provides an interactive file manager for all notebooks, files, and folders in the /workspace directory.

A new notebook can be created by clicking on the New drop-down button at the top of the list and selecting the desired language kernel.

You can spawn interactive terminal instances as well by selecting New -> Terminal in the file-browser.

The notebook editor enables users to author documents that include live code, markdown text, shell commands, LaTeX equations, interactive widgets, plots, and images. These notebook documents provide a complete and self-contained record of a computation that can be converted to various formats and shared with others.

This workspace has a variety of third-party Jupyter extensions activated. You can configure these extensions in the nbextensions configurator: nbextensions tab on the file browser

The Notebook allows code to be run in a range of different programming languages. For each notebook document that a user opens, the web application starts a kernel that runs the code for that notebook and returns output. This workspace has a Python 3 kernel pre-installed. Additional Kernels can be installed to get access to other languages (e.g., R, Scala, Go) or additional computing resources (e.g., GPUs, CPUs, Memory).

Python 2 is deprected and we do not recommend to use it. However, you can still install a Python 2.7 kernel via this command: /bin/bash /resources/tools/python-27.sh