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An opinionated, but not-afraid-to-be-wrong project template for data science projects. Pull requests welcome. Debate encouraged.
pip install cookiecutter
cookiecutter https://github.com/drivendata/cookiecutter-data-science
** By default, the data
folder is included in the .gitignore
file.** If you have a small amount of data that rarely changes, you may want to include the data in the repository. Github currently warns if files are over 50MB and rejects files over 100MB. Some other options for storing large data include AWS S3 with a syncing tool (e.g., s3cmd
), Git Large File Storage, Git Annex, and dat.
The prefered workflow if data is not in the repository is to have a make command make data
that will download or create the relevant datasets.
Press p or to see the previous file or, n or to see the next file
Are you sure you want to delete this access key?
Are you sure you want to delete this access key?
Are you sure you want to delete this access key?
Are you sure you want to delete this access key?