AI4ER Project Generation Cookiecutter

This cookiecutter provides a quick and easy way to create new projects for most environmental data science research projects. It was inspired by Cookiecutter DataScience

The current version of the ai4er-cookiecutter allows you to automatically set up:

1. A useful folderstructure for notebooks, source code, documentation, etc.
2. Automatically create a symlink to your data folder for easy and unified data access.
3. Automatically initialize as github repo and link to an existing (empty!) repository on github.com
4. Automatically create a new conda environment for your project and store it in the projects /env subdirectory.

Prerequisites

Please make sure that you have a working version of python (>= 3.0) and cookiecutter (>=1.7) installed. To install cookiecutter, simply use

pip install --user cookiecutter or conda install cookiecutter

For more information on the installation of cookiecutter, see here.

Usage

To use this cookiecutter, you simply type the following into your command line (Note: cookiecutter must be installed as prerequisite).

cookiecutter https://github.com/ai4er-cdt/ai4er-cookiecutter.git

The cookiecutter will then automatically prompt you to set project names, etc.

Questions

For any questions, please contact Simon Mathis.