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EBM DataLab's skeleton notebook environment

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Getting started with this skeleton project

This is a skeleton project for creating a reproducible, cross-platform analysis notebook, using Docker. It also includes:

  • configuration for jupytext, to support easier code review
  • cross-platform startup scripts
  • best practice folder structure and documentation

Developers and analysts using this skeleton for new development should refer to DEVELOPERS.md for instructions on getting started. Update this README.md so it is a suitable introduction to your project.

How to view the notebooks

Notebooks live in the notebooks/ folder (with an ipynb extension). You can most easily view them on nbviewer, though looking at them in Github should also work.

To do development work, you'll need to set up a local jupyter server and git repository - see DEVELOPERS.md for more detail.

How to cite

XXX Please change to either a paper (if published) or the repo. You may find it helpful to use Zenodo DOI (see DEVELOPERS.md for further information)

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A notebook to see if the price concessions forecasting is accurate

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