Elegant Cookiecutter Data Science Project Template. To see a list of all available commands, just call. While v1 has been deprecated and we recommend using v2 moving forward, you can still use the v1 template should you so choose.
You'll see them referenced in the sections below. To see a list of all available commands, just call. As a team grows, maintaining a standardized and reproducible structure for data science projects becomes crucial for collaboration.
To see a list of all available commands, just call. You'll see them referenced in the sections below. It takes a source directory tree and copies it into.
A simple project structure for data scientists to begin a new project. A logical, reasonably standardized but flexible project structure for doing and sharing data science work. This is where cookiecutter, a project.
As a team grows, maintaining a standardized and reproducible structure for data science projects becomes crucial for collaboration. Projects created by ccds include a makefile with several recipes we've predefined. Below you'll find there requirements and default folder.
This is an incredible way to create a project template for a type of analysis that you know you will need to. Cookiecutter data science (ccds) is a tool for setting up a data science project. A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
While v1 has been deprecated and we recommend using v2 moving forward, you can still use the v1 template should you so choose. You can even try cookiecutter to get a similar template for all. We keep the cookie cutter as simple as possible with focus on production and not development.
