Project scaffolding for data science

A scaffolding data science project generator following Collective AI standards

Requirements to use the cookiecutter template:

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• Python 2.7 or >3.5
• Cookiecutter Python package >= 1.4.0: This can be installed with pip or conda depending on how you manage your Python packages:

$ pip3 install cookiecutter

or

$ conda config --add channels conda-forge
$ conda install cookiecutter

To start a new project, run:

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cookiecutter [email protected]:collectiveai-team/project-scaffolding.git

The resulting directory structure

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The directory structure of your new project looks like this:

├── build                                   -> Docker building files & utils
│   ├── core
│   └── jupyter
├── notebooks                               -> Notebooks with experimentes and examples
│   └── ...
├── reports                                 -> Reports generated by results from experiments
│   └── ...
├── resources                               -> general resources: models, datasets, cache, etc
│   ├── cache
│   ├── models
│   ├── datasets
│   └── ...
├── scripts                                 -> utils
└── src                                     -> main root of packages
    └── {{cookiecutter.package_name}}                             -> main package