/data-start

Data start

This repository contains initial setup, installation, and organisation for introducing data analysis/science concepts.

Installation

  1. Activate the Pipfile environment
pipenv shell
  1. Install all required packages
pipenv install
  1. Install a useful extension (allows Jupyter to display certain types of visualisation)
jupyter labextension install jupyterlab-plotly
  1. Make Jupyter aware of the environment
python -m ipykernel install --user --name=`basename $VIRTUAL_ENV`

Development

Ensure that you are in the appropriate environment (pipenv shell). Then,

jupyter-lab

You may need to skip the hyphen.

jupyter lab

Once the server has loaded, create a new notebook using the environment kernel.