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
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/LICESNSE-CODE | Jake Vanderplas | MIT |
PythonDataScienceHandbook/LICESNSE-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 |