Create data science env on Linux used to Pipenv

create_datascience_env.sh

# Create virtualenv used to pipenv
mkdir datascience/
cd datascience/
pipenv install --python 3.7
pipenv shell

# Install neccesary package
pipenv install numpy pandas jupyter ipython plotly matplotlib  

# Install support plotly 
# (for more information https://plot.ly/python/getting-started)
pipenv install jupyterlab==1.2 "ipywidgets>=7.5"

# Avoid "JavaScript heap out of memory" errors during extension installation
export NODE_OPTIONS=--max-old-space-size=4096

# Jupyter widgets extension
jupyter labextension install @jupyter-widgets/jupyterlab-manager@1.1 --no-build

# jupyterlab renderer support
jupyter labextension install jupyterlab-plotly@1.3.0 --no-build

# FigureWidget support
jupyter labextension install plotlywidget@1.3.0 --no-build

# Build extensions (must be done to activate extensions since --no-build is used above)
jupyter lab build

# Unset NODE_OPTIONS environment variable
unset NODE_OPTIONS