Elegant Cookiecutter Data Science Project Template. Prerequests for successful implementation of the project requires. Below you'll find there requirements and default folder.
Prerequests for successful implementation of the project requires. Create a project based on the template:. You can even try cookiecutter to get a similar template for all.
Below you'll find there requirements and default folder. There is a powerful tool to avoid all of the above, and that is cookiecutter! A logical, reasonably standardized but flexible project structure for doing and sharing data science work.
To see a list of all available commands, just call. It takes a source directory tree and copies it into. Cookiecutter data science (ccds) is a tool for setting up a data science project.
We keep the cookie cutter as simple as possible with focus on production and not development. This repository provides a template that incorporates best practices to create a maintainable and reproducible data science project. Well, in most data science projects, figuring out the objectives and understanding the problem take precedence.
Projects created by ccds include a makefile with several recipes we've predefined. This is an incredible way to create a project template for a type of analysis that you know you will need to. This project implements cookiecutter data science template.
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work. Create a project based on the template:. A simple project structure for data scientists to begin a new project.
