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JupyterLab Demonstration

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


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

Create the environment

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

Activate/deactivate the environment

To activate the conda environment, run:

source activate jupyterlab-demo

To deactivate the conda environment, run:

source deactivate

Additional demo files

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

R Language support

To add R language support, run:

invoke r

Julia Language support

To add Julia language support follow the instructions here.


To uninstall the demofiles and enviornment, call:

invoke clean

Demo guide

The basic outline of the JupyterLab demo is described in the file

External Repositories

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


Demonstrations of JupyterLab




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