JupyterLab Demonstration

This repository contains some demonstrations of JupyterLab, the next generation user interface of Project Jupyter.

Installation

The demo requires conda and the package requirements are described in environment.yml

To install the environment and demofiles, we use pyinvoke. To install pyinvoke with conda call:

# add the conda forge channel.
conda config --add channels conda-forge --yes

conda install -c conda-forge invoke pyyaml

To create the conda environment with all the dependencies and jupyterlab extensions for the demo, run:

invoke environment  # optionally --env-name=my-env-name

The default environment name is jupyterlab-demo.

To create the environment and remove previous installation, call:

invoke environment --clean

To activate the conda environment, run:

source activate jupyterlab-demo

To deactivate the conda environment, run:

source deactivate

The demo includes files from a number of other repositories. To install these files, run:

invoke demofiles

To remove demofiles and download again all:

invoke demofiles --clean

To add R language support, run:

invoke r

To add Julia language support follow the instructions here.

To uninstall the demofiles and enviornment, call:

invoke clean

The basic outline of the JupyterLab demo is described in the file jupyterlab.md.

Our invoke demofiles clones repos from other authors. The details of these repos are as follows:

Name	Author	License
PythonDataScienceHandbook/LICENSE-CODE	Jake Vanderplas	MIT
PythonDataScienceHandbook/LICENSE-TEXT	Jake Vanderplas	CC-BY-NC-ND-3.0
altair	Jake Vanderplas	BSD 3-clause
Urban-Data-Challenge	Data Canvas	CC-BY-NC-3.0
QuantEcon.notebooks	QuantEcon	BSD 3-clause "New" or "Revised" License
TCGA	Gross et. al.	None Listed
TensorFlow-Examples	Aymeric Damien	MIT