Cookie cutter provides a folder structure for sharing and developing data science work. This project is inspired by a similar project developed by Daniel Chen.
The cookie.sh
script creates the following folder structure
root
|
|-- README
|-- LICENSE
|-- data
| --
|-- bin
| --
|-- docs
| --
|-- models
| --
|-- results
| --
|-- scripts
| --
|-- CITATIONS
|-- contributions
|-- conduct
|-- requirements
- Fork/clone the repo to your system.
- Download the cookie.sh file by
right-click > save link as..
from theraw
button.
Navigate to the folder where the file cookie.sh
is saved and run the following command from the terminal -
bash cookie.sh
The script will have prompts to specify location of directory and name of the project folder.
An example of the path that can be specified -
/c/Users/User1/Desktop
Note: The output can be observed in the project folder created in this path
There are others trying to develop similar cookie cutter templates for data science projects if my project does not meet your requirements -
- https://github.com/chendaniely/computational-project-cookie-cutter
- https://github.com/ardydedase/cookiecutter-pypackage
Developed by Abishek Murali, Nov. 2017.