A Docker-based Data Science cookiecutter (for myself)

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cookiecutter-ds-docker is a personalized, Docker-based cookiecutter template repo for Data Science projects. It aims to standardize the common decisions (repo structure, setup, integrations, etc.), which I need to consider for each new project, and hence minimize the (overtly dull) start-up effort for future work.


In a terminal, run the following:

cd {base_folder}
cookiecutter gh:sertansenturk/cookiecutter-ds-docker
# follow the on-screen instructions to cut the project
# ...
cd {{ cookiecutter.repo_slug}} # replace repo_slug with what you entered earlier
# once the docker stack is running, click the URL starting with
# to access JupyterLab
# mlflow UI is at http://localhost:5000/