Go to file
Peter Bull 9841cfa1b6 Add license options 2016-03-19 17:46:54 -04:00
{{ cookiecutter.repo_name }} Add license options 2016-03-19 17:46:54 -04:00
.gitattributes Start to flesh out READMEs 2015-10-30 15:47:00 -04:00
README.md README updates 2016-03-19 16:32:33 -04:00
cookiecutter.json Add license options 2016-03-19 17:46:54 -04:00

README.md

cookiecutter-data-science

An opinionated, but not-afraid-to-be-wrong project template for data science projects. Pull requests welcome. Debate encouraged.

Requirements to create project:

To start a new project:

cookiecutter git@github.com:drivendata/cookiecutter-data-science.git

Data

** 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.